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25 pages, 4144 KiB  
Article
A Puccinia striiformis f. sp. tritici Effector with DPBB Domain Suppresses Wheat Defense
by Raheel Asghar, Yu Cheng, Nan Wu and Mahinur S. Akkaya
Plants 2025, 14(3), 435; https://doi.org/10.3390/plants14030435 - 2 Feb 2025
Viewed by 429
Abstract
Wheat (Triticum aestivum L.) is a primary crop globally. Among the numerous pathogens affecting wheat production, Puccinia striiformis f. sp. tritici (Pst) is a significant biotic stress agent and poses a major threat to world food security by causing stripe [...] Read more.
Wheat (Triticum aestivum L.) is a primary crop globally. Among the numerous pathogens affecting wheat production, Puccinia striiformis f. sp. tritici (Pst) is a significant biotic stress agent and poses a major threat to world food security by causing stripe rust or yellow rust disease. Understanding the molecular basis of plant–pathogen interactions is crucial for developing new means of disease management. It is well established that the effector proteins play a pivotal role in pathogenesis. Therefore, studying effector proteins has become an important area of research in plant biology. Our previous work identified differentially expressed candidate secretory effector proteins of stripe rust based on transcriptome sequencing data from susceptible wheat (Avocet S) and resistant wheat (Avocet YR10) infected with Pst. Among the secreted effector proteins, PSTG_14090 contained an ancient double-psi beta-barrel (DPBB) fold, which is conserved in the rare lipoprotein A (RlpA) superfamily. This study investigated the role of PSTG_14090 in plant immune responses, which encodes a protein, here referred to as Pst-DPBB, having 131 amino acids with a predicted signal peptide (SP) of 19 amino acids at the N-terminal end, and the DNA sequence of this effector is highly conserved among different stripe rust races. qRT-PCR analysis indicated that expression levels are upregulated during the early stages of infection. Subcellular localization studies in Nicotiana benthamiana leaves and wheat protoplasts revealed that it is distributed in the cytoplasm, nucleus, and apoplast. We demonstrated that Pst-DPBB negatively regulates the immune response by functioning in various compartments of the plant cells. Based on Co-IP and structural predictions and putative interaction analyses by AlphaFold 3, we propose the probable biological function(s). Pst-DPBB behaves as a papain inhibitor of wheat cysteine protease; Pst-DPBB has high structural homology to kiwellin, which is known to interact with chorismate mutase, suggesting that Pst-DPBB inhibits the native function of the host chorismate mutase involved in salicylic acid synthesis. The DPBB fold is also known to interact with DNA and RNA, which may suggest its possible role in regulating the host gene expression. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
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Figure 1

Figure 1
<p>Features of Pst-DPBB: validation of signal peptide, and transcript levels of Pst-DPBB at various stages following <span class="html-italic">Pst</span> inoculation. (<b>A</b>) SignalP 6.0 and InterProScan were conducted to identify signal peptide (SP) and the presence of a conserved domain, respectively. (<b>B</b>) Secretory function determination of the predicted signal peptide of Pst-DPBB. (1) pTRBO-Pst-SP-SCR1 (full-length SCR1 with native signal peptide), (2) pTRBO-Pst-SCR1<sup>ΔSP</sup> (full-length SCR1 without native signal peptide), and (3) pTRBO-SP<sup>Pst-DPBB</sup>-SCR1<sup>ΔSP</sup> (Pst-DPBB signal peptide fused to Pst-SCR1<sup>ΔSP</sup>) were transiently expressed in <span class="html-italic">N. benthamiana</span> by <span class="html-italic">Agrobacterium</span> GV3101 infiltration. Phenotypes were observed after 7 days post-infiltration (left panel). Cell death is further detected after decolorization (right panel). (<b>C</b>) Expression levels of Pst-DPBB. The relative transcription levels of Pst-DPBB were analyzed using the comparative threshold method (2<sup>−ΔΔCt</sup>), comparing levels just before inoculation to the control and normalizing to the expression level of <span class="html-italic">PstEF-1α</span> as the reference gene. Means and standard deviations are derived from three independent biological replicates, with significance between different time points and the control analyzed using a one-way ANOVA test (** indicates <span class="html-italic">p</span> &lt; 0.01, **** indicates <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Sequence and structural similarities of Pst-DPBB-like proteins without the signal peptide. (<b>A</b>) Sequence-based phylogenetic tree of Pst-DPBB-like proteins constructed with Clustal Omega. (<b>B</b>) Structural phylogenetic tree generated using Foldseek, highlighting the alignment of Pst-DPBB with identical and homologous proteins from various races and species. The protein IDs are the same as the IDs of the proteome data [<a href="#B30-plants-14-00435" class="html-bibr">30</a>]. The structure in blue is Pst-DPBB, and the aligned structures are in yellow.</p>
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<p>Structural homology analysis using Foldseek compared to Pst-DPBB structure. (<b>A</b>) The predicted structure of Pst-DPBB by AF3 (pTM 0.82). 5ntb-B, a papain inhibitor from <span class="html-italic">Streptomyces mobaraensis</span>; 4avr-B, a hypothetical protein Pa4485 from <span class="html-italic">Pseudomonas aeruginosa</span>; 4pmk-B, a kiwellin protein from <span class="html-italic">Actinidia chinensis</span>; 6fpg-D, a kiwellin protein from <span class="html-italic">Zea mays</span>; and 7dbo-A, a DPBB domain from a VCP-like ATPase in <span class="html-italic">Thermoplasma acidophilum</span>. (<b>B</b>) The interaction between <span class="html-italic">Zea mays</span> kiwellin and <span class="html-italic">Ustilago maydis</span> chorismate mutase (PDB ID: 6FPG). (<b>C</b>) The interaction interface of Pst-DPBB with wheat chorismate mutase (UniProt accession: A0A3B6TQM4), predicted by AF3.</p>
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<p>Subcellular localization of Pst-DPBB in plant cells. <span class="html-italic">N. benthamiana</span> epidermal cells transiently expressing pTRBO-ΔSP-Pst-DPBB-GFP, pTRBO-SP-Pst-DPBB-GFP, and pTRBO-GFP (control) were observed at 5 days post-infiltration (dpi) without treatment (<b>A</b>) and after plasmolysis (<b>B</b>). Additionally, pTRBO-ΔSP-Pst-DPBB-GFP and pTRBO-GFP (control) were transiently expressed in wheat protoplasts (<b>C</b>). Observations were made using a fluorescence microscope with an excitation wavelength filter of 465–495 nm and an emission wavelength filter of 512–558 nm. The red arrows in (<b>B</b>) indicate the apoplastic space formed after plasmolysis. Scale bars represent 100 μm for images of <span class="html-italic">N. benthamiana</span> epidermal cells and 10 μm for images of wheat protoplasts.</p>
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<p>Suppression of INF1-triggered cell death by Pst-DPBB in <span class="html-italic">N. benthamiana</span>. The constructs (1) pTRBO-GFP (negative control), (2) pGR106-Avr3a<sup>KI</sup> (positive control), (3) pTRBO-SP-Pst-DPBB, (4) pTRBO-ΔSP-Pst-DPBB, and (5) pGR106-INF1 were transiently expressed or co-expressed in <span class="html-italic">N. benthamiana</span> via agroinfiltration. The leaf necrosis phenotype was photographed at 5 days post-infiltration (dpi). The right panel displays the same leaf as the left panel after staining with 0.25 mg/mL trypan blue.</p>
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<p><span class="html-italic">Pst-DPBB</span> inhibits programmed cell death (PCD) triggered by <span class="html-italic">Pseudomonas syringae.</span> DC3000 in barley, but not in tobacco. (<b>A</b>) The constructs; (1) pTRBO-SP-Pst-DPBB, (2) pTRBO-ΔSP-Pst-DPBB, and (3) pTRBO-GFP (control) were transiently co-expressed with (4). <span class="html-italic">Pseudomonas syringae</span> DC3000 in <span class="html-italic">N. benthamiana</span>. The leaf necrosis phenotype was evaluated at 3 dpi. (<b>B</b>) Suppression of DC3000-triggered cell death by Pst-DPBB in barley. <span class="html-italic">Agrobacterium</span> AGL1 (pSoup) carrying (1) pTRBO-SP-Pst-DPBB, (2) pTRBO-ΔSP-Pst-DPBB, (3) and pTRBO-GFP (control), and (5) AGL1 (pSoup) cells alone were infiltrated into the first leaf of 10-day-old barley (left half, marked with black brackets). Two days later, (4) DC3000 was infiltrated into the right border of the pre-infiltration area (marked with red brackets), creating a partially overlapping region. Leaf necrosis phenotypes were observed after 5 days.</p>
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<p>Pst-DPBB inhibits PTI-associated callose deposition. (<b>A</b>) Samples were collected from barley leaves at 24 and 48 h after infiltration with either infiltration buffer (Mock), AGL1 (pSoup), and AGL1 (pSoup) carrying pTRBO-GFP, pTRBO-SP-Pst-DPBB, and pTRBO-ΔSP-Pst-DPBB. The samples were examined using a fluorescence microscope following 0.05% aniline blue staining. Scale bars = 100 μm. (<b>B</b>) The average number of callose deposits per mm<sup>2</sup> in barley leaves infiltrated with infiltration buffer (Mock), AGL1 (pSoup), and AGL1 (pSoup) carrying pTRBO-GFP, pTRBO-SP-Pst-DPBB, and pTRBO-ΔSP-Pst-DPBB at 24 or 48 hpi. Means and standard deviations were calculated from three independent biological replicates. **** indicate a significant difference (<span class="html-italic">p</span> &lt; 0.0001) compared to the pTRBO-GFP sample, as determined by two-way ANOVA.</p>
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<p>Expression analysis of PTI-related marker genes following the overexpression of <span class="html-italic">Pst-DPBB</span> in <span class="html-italic">N. benthamiana</span>. The constructs pTRBO-GFP (control), pTRBO-SP-Pst-DPBB, and pTRBO-ΔSP-Pst-DPBB were transiently expressed in <span class="html-italic">N. benthamiana</span> via agroinfiltration. After 24 h, 20 μM flg22 was infiltrated into the same region. The transcription levels of defense-related genes, including <span class="html-italic">NbCYP71D20</span> (<b>A</b>), <span class="html-italic">NbPR1a</span> (<b>B</b>), <span class="html-italic">NbPR2</span> (<b>C</b>), and <span class="html-italic">NbWRKY12</span> (<b>D</b>), were measured at 12 h post-infiltration using quantitative reverse transcription PCR (qRT-PCR). <span class="html-italic">NbActin</span> served as the internal reference gene for <span class="html-italic">NbCYP71D20</span> and <span class="html-italic">NbPR1a</span>, while <span class="html-italic">NbEF1α</span> was used as the reference gene for <span class="html-italic">NbPR2</span> and <span class="html-italic">NbWRKY12</span>. Means and standard deviations were calculated from three independent biological replicates, and significance between different samples and the control was assessed using a one-way ANOVA test (*** indicates <span class="html-italic">p</span> &lt; 0.001, **** indicates <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>BSMV-mediated HIGS of <span class="html-italic">Pst-DPBB</span> reduces the pathogenicity of <span class="html-italic">Pst</span>. (<b>A</b>) Phenotypes of the third leaves of wheat plants treated with tobacco sap containing BSMV after two weeks of growth. “Mock” indicates wheat leaves inoculated with PBS buffer, “BSMV:00” represents wheat leaves inoculated with the BSMV empty vector pCaBS-γb, “BSMV: Pst-DPBB” indicates wheat leaves with <span class="html-italic">Pst-DPBB</span> gene silencing, and “BSMV: PDS” represents wheat leaves with phytoene dehydrogenase (PDS) silencing. (<b>B</b>) Observed disease response in <span class="html-italic">Pst-DPBB</span> silenced plants inoculated with the virulent <span class="html-italic">Pst</span> race CYR32 at 14 dpi. The third leaves of wheat plants inoculated with the BSMV empty vector and BSMV: Pst-DPBB were inoculated with <span class="html-italic">Pst</span> race CYR32 at 10 days post-BSMV treatment.</p>
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<p>Predicted interaction interface between Pst-DPBB and the wheat cysteine proteinase using AF3. The putatively interacting amino acids of Pst-DPBB (green) and the wheat cysteine proteinase (cyan) are presented in <a href="#plants-14-00435-f010" class="html-fig">Figure 10</a>.</p>
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11 pages, 218 KiB  
Article
Child Amputee Prosthetics Project—Prosthesis Satisfaction Inventory (CAPP-PSI): Validation of Italian Version in Children with Upper Limb Amputation
by Luigino Santecchia, Gessica Della Bella, Francesca Caspi, Paola Luttazi, Lorenzo Pochiero, Fabrizio Taffoni, Giordana Mariani, Marco Gaudenzi, Donatella Valente and Marco Tofani
Children 2025, 12(2), 130; https://doi.org/10.3390/children12020130 - 24 Jan 2025
Viewed by 660
Abstract
Background: The Child Amputee Prosthetics Project—Prosthesis Satisfaction Inventory (CAPP-PSI) is a comprehensive instrument designed to measure satisfaction across functionality, aesthetic, and service domains. This study aimed to translate, culturally adapt, and evaluate the psychometric properties of the CAPP-PSI in an Italian pediatric population. [...] Read more.
Background: The Child Amputee Prosthetics Project—Prosthesis Satisfaction Inventory (CAPP-PSI) is a comprehensive instrument designed to measure satisfaction across functionality, aesthetic, and service domains. This study aimed to translate, culturally adapt, and evaluate the psychometric properties of the CAPP-PSI in an Italian pediatric population. Methods: Following international guidelines, the CAPP-PSI was translated and culturally adapted. Internal consistency was evaluated using Cronbach’s alpha, while test–retest reliability was assessed with intraclass correlation coefficients (ICCs). Construct validity was measured by analyzing correlations among subscales. Results: A total of 113 children with congenital or acquired upper limb amputation, accompanied by their parents, were recruited from the Bambino Gesù Children’s Hospital in Rome. The Italian CAPP-PSI demonstrated excellent internal consistency (Cronbach’s alpha = 0.913) and strong test–retest reliability (ICC = 0.966). Subscale correlations showed strong relationships between child and parent satisfaction (r = 0.724, p < 0.01) and parent satisfaction with service (r = 0.612, p < 0.01), while moderate correlations were observed between child satisfaction and service (r = 0.434, p < 0.01). Conclusions: The Italian version of the CAPP-PSI is a reliable and valid tool for assessing prosthetic satisfaction in pediatric populations. It provides valuable insights for clinicians and researchers, supporting patient-centered care and targeted improvements in prosthetic design and services. Future studies should explore longitudinal outcomes and the role of psychosocial factors in prosthetic acceptance. Full article
(This article belongs to the Special Issue Pediatric Upper Extremity Pathology)
15 pages, 32312 KiB  
Article
Thermal Stability and Optical Behavior of Porous Silicon and Porous Quartz Photonic Crystals for High-Temperature Applications
by Ivan Alonso Lujan-Cabrera, Ely Karina Anaya Rivera, Jose Amilcar Rizzo Sierra, Jonny Paul Zavala De Paz, Cesar Isaza and Cristian Felipe Ramirez-Gutierrez
Photonics 2025, 12(2), 94; https://doi.org/10.3390/photonics12020094 - 21 Jan 2025
Viewed by 816
Abstract
This work investigates the changes in the optical response of photonic crystals based on porous silicon (PSi) as a function of temperature. Using the transfer matrix method in combination with thermo-optical properties, we numerically calculate the optical response of two types of photonic [...] Read more.
This work investigates the changes in the optical response of photonic crystals based on porous silicon (PSi) as a function of temperature. Using the transfer matrix method in combination with thermo-optical properties, we numerically calculate the optical response of two types of photonic crystals: Distributed Bragg Reflectors (DBRs) and Fabry–Perot microcavities (FPMs). The results reveal that the photonic bandgap shifts with increasing temperature and pressure, with the defect mode in the microcavity notably shifting to longer wavelengths as the temperature rises. Additionally, we explore the transformation of PSi into porous quartz (PQz) via thermal oxidation, which preserves the porosity and multilayer structure, while altering the chemical composition. This results in geometrically identical photonic systems with distinct chemical properties, offering enhanced stability. Our simulations show that PSi structures exhibit a redshift in the photonic bandgap due to thermal expansion, while PQz structures remain optically stable even at elevated temperatures. This work highlights the potential of PQz as a robust material for high-temperature photonic applications, with tunable optical properties and stable performance under extreme conditions. The findings emphasize the feasibility of using porous-silicon-based photonic crystals for advanced optical devices in harsh environments. Full article
(This article belongs to the Special Issue New Insights into Optical Materials)
Show Figures

Figure 1

Figure 1
<p>SEM images of the cross-sections of (<b>a</b>) a thin film of porous silicon supported on a silicon substrate, and (<b>b</b>) a heterostructure of thin films consisting of a porous quartz film followed by a bulk quartz film supported on crystalline silicon. These images correspond to different samples, presented as examples of materials and structures that can be experimentally obtained.</p>
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<p>Refractive index <math display="inline"><semantics> <mrow> <mo>(</mo> <mi>η</mi> <mo>)</mo> </mrow> </semantics></math> and extinction coefficient <math display="inline"><semantics> <mrow> <mo>(</mo> <mi>κ</mi> <mo>)</mo> </mrow> </semantics></math> as a function of wavelength for (<b>a</b>) bulk silicon [<a href="#B63-photonics-12-00094" class="html-bibr">63</a>] and (<b>b</b>) bulk quartz [<a href="#B64-photonics-12-00094" class="html-bibr">64</a>] at the same scale for comparison. The inset in (<b>b</b>) shows a zoom-in of the quartz optical constants as a function of the wavelength. Refractive index variation of (<b>c</b>) crystalline Si and (<b>c</b>) quartz for two different wavelengths (550 and 800 nm) using the effective medium theory of a mixture with air [<a href="#B65-photonics-12-00094" class="html-bibr">65</a>]. The inset in (<b>d</b>) displays a zoom-in of the quartz refractive index as a function of the porosity for better detail appreciation.</p>
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<p>Thermal expansion coefficient as a function of temperature of (<b>a</b>) silicon and (<b>b</b>) quartz.</p>
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<p>Graphical representation of a porous silicon (PSi) photonic crystal, which is later transformed into a porous quartz (PQz) photonic crystal through thermal oxidation. Since PSi has a higher refractive index, the structure reflects longer wavelengths, such as red. However, when it undergoes thermal oxidation to become PQz, despite maintaining the same geometric configuration, the refractive index decreases. As a result, the optical path is shorter, and the structure reflects shorter wavelengths, such as green.</p>
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<p>Contour plot of the optical response (reflectance) of (<b>a</b>) a DBR and (<b>b</b>) an FPM photonic crystal as a function of temperature. The color scale represents the reflectance values. Experimental data for the refractive index were taken from [<a href="#B73-photonics-12-00094" class="html-bibr">73</a>].</p>
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<p>Optical response of PSi DBR and FPM as a function of temperature. (<b>a</b>,<b>b</b>) Reflectance response at 20 and 1000° of DBR and FPM. Colored boxes represent the color simulation for each temperature. Contour plots of the optical response of (<b>c</b>) DBR and (<b>d</b>) FPM as a function of temperature. Thermo-optical coefficient and thermal expansion data were used for the simulation.</p>
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<p>Optical response of PSi DBR and FPM as a function of oxidation percentage and transformation of c-Si to quartz: (<b>a</b>,<b>b</b>) Reflectance response at three different oxidation percentages. The colored boxes represent the simulated color for each percentage. Contour plots showing the optical response of (<b>c</b>) DBR and (<b>d</b>) FPM as a function of oxidation percentage.</p>
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<p>Optical response of PQz DBR and FPM as a function of temperature. (<b>a</b>,<b>b</b>) Reflectance response at 20, 574, and 1000° of DBR and FPM. Colored boxes represent the color simulation for each temperature. The inset in (<b>b</b>) shows the displacement on the defect mode at different temperatures. Contour plots of the optical response of (<b>c</b>) DBR and (<b>d</b>) FPM as a function of temperature. Thermo-optical coefficient and thermal expansion data were used for the simulation.</p>
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<p>Behavior of the centering wavelength for PSi and PQz photonic crystals (with same layer thickness) for different porosities. Also displayed here is the equation used for the calculations which was derived from the one-quarter Bragg rule.</p>
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16 pages, 12939 KiB  
Article
A High-Resolution Crystallographic Study of Cytochrome c6: Structural Basis for Electron Transfer in Cyanobacterial Photosynthesis
by Botao Zhang, Yuancong Xu, Shuwen Liu, Sixu Chen, Wencong Zhao, Zhaoyang Li, Junshuai Wang, Weijian Zhao, Heng Zhang, Yuhui Dong, Yong Gong, Wang Sheng and Peng Cao
Int. J. Mol. Sci. 2025, 26(2), 824; https://doi.org/10.3390/ijms26020824 - 19 Jan 2025
Viewed by 1001
Abstract
Cyanobacterial cytochrome c6 (Cyt c6) is crucial for electron transfer between the cytochrome b6f complex and photosystem I (PSI), playing a key role in photosynthesis and enhancing adaptation to extreme environments. This study investigates the high-resolution crystal structures of Cyt c6 from Synechococcus [...] Read more.
Cyanobacterial cytochrome c6 (Cyt c6) is crucial for electron transfer between the cytochrome b6f complex and photosystem I (PSI), playing a key role in photosynthesis and enhancing adaptation to extreme environments. This study investigates the high-resolution crystal structures of Cyt c6 from Synechococcus elongatus PCC 7942 and Synechocystis PCC 6803, focusing on its dimerization mechanisms and functional implications for photosynthesis. Cyt c6 was expressed in Escherichia coli using a dual-plasmid co-expression system and characterized in both oxidized and reduced states. X-ray crystallography revealed three distinct crystal forms, with asymmetric units containing 2, 4, or 12 molecules, all of which consist of repeating dimeric structures. Structural comparisons across species indicated that dimerization predominantly occurs through hydrophobic interactions within a conserved motif around the heme crevice, despite notable variations in dimer positioning. We propose that the dimerization of Cyt c6 enhances structural stability, optimizes electron transfer kinetics, and protects the protein from oxidative damage. Furthermore, we used AlphaFold3 to predict the structure of the PSI-Cyt c6 complex, revealing specific interactions that may facilitate efficient electron transfer. These findings provide new insights into the functional role of Cyt c6 dimerization and its contribution to improving cyanobacterial photosynthetic electron transport. Full article
(This article belongs to the Special Issue Molecular Enzymology and Biotechnology for Extreme Environments)
Show Figures

Figure 1

Figure 1
<p>Crystallization and characterization of Cyt c6 proteins. (<b>A</b>–<b>C</b>) Structural models and crystal images of red-Cyt c6-7942, red-Cyt c6-6803, and oxi-Cyt c6-7942. The ball-and-stick models highlight the bound heme groups. (<b>D</b>) SDS-PAGE analysis of purified Cyt c6-6803 and Cyt c6-7942. (<b>E</b>) Blue native PAGE analysis of Cyt c6-6803 and Cyt c6-7942. Potential positions of dimer and monomer are indicated by red and black arrows, respectively. (<b>F</b>,<b>G</b>) MALDI-TOF mass spectrometry results for Cyt c6-7942 (<b>F</b>) and Cyt c6-6803 (<b>G</b>). (<b>H</b>,<b>I</b>) UV-vis spectroscopy analysis of the absorbance properties of Cyt c6-7942 (<b>H</b>) and Cyt c6-6803 (<b>I</b>).</p>
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<p>Comparative structural and sequence analysis of Cyt c6 in photosynthetic organisms. (<b>A</b>) Structural alignment of red-Cyt c6-7942, red-Cyt c6-6803, oxi-Cyt c6-7942, and previously reported Cyt c6/C6A structures from <span class="html-italic">Prochlorococcus</span> sp. PCC 7002 (PDB code: 4EID), <span class="html-italic">Tetradesmus obliquus</span> (PDB code: 1C6O), <span class="html-italic">Thermosynechococcus vestitus</span> BP-1 (PDB code: 6TSY), <span class="html-italic">Chlamydomonas reinhardtii</span> (PDB code: 1CYJ), <span class="html-italic">Sargassum fusiforme</span> (PDB code: 2ZBO), and <span class="html-italic">Arabidopsis thaliana</span> (PDB code: 2V07). (<b>B</b>) An enlarged view of (<b>A</b>), highlighting the amino acid residues involved in direct heme binding shown as sticks. (<b>C</b>) Sequence alignment of Cyt c6 and Cyt c6A. The ESPript 3.0 server (<a href="http://espript.ibcp.fr/ESPript/ESPript/" target="_blank">http://espript.ibcp.fr/ESPript/ESPript/</a>, accessed on 1 November 2024) was used to output the alignment. Conserved residues, including the CXXCH motif and an ancient structural motif near the methionine axial ligand, are highlighted with black boxes. Colours represent residue similarity: red background for identical residues, red text for strongly similar residues. Blue frame indicates that over 70% of residues are similar in physico-chemical properties. The secondary structure is annotated with five α-helices.</p>
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<p>Dimeric interfaces of red-Cyt c6-7942 (<b>A</b>) and red-Cyt c6-6803 (<b>B</b>). The proteins are shown as cartoon representations. Heme groups are depicted as ball-and-stick models (light pink), while amino acid residues involved in the dimeric interaction interface are shown as stick models. The Fe–Fe distances between the heme groups are represented by black dashed lines, with their values labeled. The key interface residues are magnified, shown in the dashed boxes below.</p>
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<p>Comparative analysis of dimeric Cyt c6 structures from different species. The red-Cyt c6-7942 structure is compared with Cyt c6-6803 (<b>A</b>) and previously reported dimeric structures from <span class="html-italic">Tetradesmus obliquus</span> Cyt c6 (PDB code: 1C6O; (<b>B</b>)) [<a href="#B25-ijms-26-00824" class="html-bibr">25</a>], <span class="html-italic">Thermosynechococcus vestitus</span> BP-1 Cyt c6 (PDB code: 6TSY; (<b>C</b>)) [<a href="#B16-ijms-26-00824" class="html-bibr">16</a>], and <span class="html-italic">Arabidopsis thaliana</span> Cyt c6A (PDB code: 2V07; (<b>D</b>)) [<a href="#B15-ijms-26-00824" class="html-bibr">15</a>]. The red-Cyt c6-7942 structure is highlighted in red, with one monomeric chain of each dimer superimposed for comparison. Dashed lines indicate the Fe–Fe distances between heme groups.</p>
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<p>AlphaFold3-predicted structure of the PSI-Cyt c6 complex from <span class="html-italic">S. elongatus</span> PCC 7942. (<b>A</b>) Overall structure shown in cartoon representation. (<b>B</b>) The PSI-Cyt c6 electron transport chain, with the arrow indicating the direction of electron flow. (<b>C</b>) Residues forming the interaction interface between Cyt c6 and PsaA-PsaB, displayed as stick models. Cyt c6 is shown in red, PsaA in green, and PsaB in blue.</p>
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17 pages, 5030 KiB  
Article
Beneficial Roles of 1-MCP on Regulation of Photosynthetic Electron Transport and Energy Dissipation in Chrysanthemum Under Heat Stress
by Runtian Miao, Xiaoman Liu, Yilin Zhao, Yanli Zhao, Han Dong, Gan Huang and Yonghua Li
Horticulturae 2025, 11(1), 68; https://doi.org/10.3390/horticulturae11010068 - 10 Jan 2025
Viewed by 398
Abstract
1-Methyl cyclopropene (1-MCP) is known as an ethylene antagonist, yet its mechanisms in regulating photosynthetic electron transport and energy dissipation in chrysanthemum under heat stress are not well understood. Here, the chlorophyll a fluorescence and modulated 820 nm reflection transients were analyzed in [...] Read more.
1-Methyl cyclopropene (1-MCP) is known as an ethylene antagonist, yet its mechanisms in regulating photosynthetic electron transport and energy dissipation in chrysanthemum under heat stress are not well understood. Here, the chlorophyll a fluorescence and modulated 820 nm reflection transients were analyzed in heat-tolerant and heat-sensitive chrysanthemum plants. This study demonstrates that 1-MCP pre-treatment helps maintain the net photosynthetic rate (Pn) and the reaction center activity of photosystems I and II (PSI and PSII) during heat stress. Specifically, 1-MCP treatment significantly increases the fraction of active oxygen-evolving complex (OEC) centers and reduces relative variable fluorescence intensity at the J step (VJ) as well as the efficiency of electron transfer at the PSI acceptor side (δRo). These effects mitigate damage to the photosynthetic electron transport chain. Additionally, 1-MCP-treated plants exhibit decreased quantum yield of energy dissipation (φDo) and reduced energy flux per reaction center (DIo/RC). Overall, 1-MCP enhances light utilization efficiency and excitation energy dissipation in the PSII antennae, alleviating heat stress-induced damage to PSI and PSII structures and functions. This study not only advances our understanding of 1-MCP’s regulatory role in photosynthetic processes under heat stress but also provides a basis for using exogenous substances to improve chrysanthemum heat resistance. Full article
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<p>The effects of heat stress and 1-MCP on the OJIP transient curves of the heat-tolerant (<b>a</b>) and heat-sensitive (<b>b</b>) chrysanthemum accessions.</p>
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<p>The effects of heat stress and 1-MCP on the L-band of the heat-tolerant (<b>a</b>) and heat-sensitive (<b>b</b>) chrysanthemum accessions.</p>
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<p>The effects of heat stress and 1-MCP on the K-band of the heat-tolerant (<b>a</b>) and heat-sensitive (<b>b</b>) chrysanthemum accessions.</p>
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<p>The effects of heat stress and 1-MCP on the MR<sub>820 nm</sub> of the heat-tolerant (<b>a</b>) and heat-sensitive (<b>b</b>) chrysanthemum accessions. The MR<sub>820 nm</sub> signals are presented by MR<sub>t</sub>/MR<sub>o</sub> ratio. ΔI/I<sub>o</sub> is the relative signal dropped at 820 nm during red light irradiation and indicates PSI activity, which is presented in (<b>c</b>,<b>d</b>). Different letters on error bars indicate significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The effects of heat stress and 1-MCP on the photosynthetic parameters deduced by the JIP test analysis of fluorescence transients of the heat-tolerant (<b>a</b>,<b>c</b>) and heat-sensitive (<b>b</b>,<b>d</b>) chrysanthemum accessions. Different letters on error bars indicate significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The effects of heat stress and 1-MCP on the Chl a content (<b>A</b>), Chl b content (<b>B</b>), Chl a + b content (<b>C</b>), and carotenoid content (<b>D</b>) of the heat-tolerant and heat-sensitive chrysanthemum accessions. Different letters on error bars indicate significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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11 pages, 2332 KiB  
Article
Enhancing Surgical Efficiency and Radiological Outcomes Through Advances in Patient-Specific Instrument Design
by Yong-Gon Koh, Ji-Hoon Nam, Jong-Keun Kim, Dong-Suk Suh, Jai Hyun Chung, Kwan Kyu Park and Kyoung-Tak Kang
J. Clin. Med. 2025, 14(2), 307; https://doi.org/10.3390/jcm14020307 - 7 Jan 2025
Viewed by 460
Abstract
Background/Objectives: Patient-specific instrumentation (PSI) in total knee arthroplasty (TKA) uses preoperative three-dimensional imaging to create cutting blocks tailored to patient anatomy. However, there is debate regarding the additional benefits of PSI in terms of improved alignment or functional outcomes compared to using [...] Read more.
Background/Objectives: Patient-specific instrumentation (PSI) in total knee arthroplasty (TKA) uses preoperative three-dimensional imaging to create cutting blocks tailored to patient anatomy. However, there is debate regarding the additional benefits of PSI in terms of improved alignment or functional outcomes compared to using conventional instruments. Although PSI design has undergone continuous development, the improvements have not been incorporated. Therefore, the aim of this study was to compare the surgical time and radiological outcomes between advanced-design PSI and conventional instruments. Methods: We conducted a retrospective review of 328 patients who underwent primary TKAs using PSI for osteoarthritis and compared them with 328 matched patients who underwent TKA performed with conventional instruments during the same period (March 2023 to August 2024). We compared the surgical time and component alignment between the advanced-design PSI group and the conventional instrument group. Results: The average surgical time was significantly shorter in the advanced-design PSI group (47.6 ± 12.4 min) compared to the conventional instrument group (59.2 ± 14.2 min, p < 0.05). The advanced PSI design group had a significantly lower occurrence of outliers in hip–knee–ankle alignment (7%) compared to the conventional instrument group (36.3%). This trend was also observed in femoral coronal alignment, tibial coronal alignment, and femoral sagittal alignment. Conclusions: The use of advanced-design PSI demonstrated significantly reduced surgical time and improved alignment compared to conventional instruments. This highlights that proper design is a key factor for PSI to achieve superior biomechanical effects. Our study shows that advanced-design PSI technology has the potential to replace conventional instruments in TKA, though further research is required to determine its clinical outcomes and economic benefits. Full article
(This article belongs to the Special Issue Arthroplasty: Advances in Surgical Techniques and Patient Outcomes)
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<p>Advanced-design PSI components: (<b>a</b>) Rotation axis, (<b>b</b>) alignment rod, (<b>c</b>) notch check, and (<b>d</b>) tibial alignment rod.</p>
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<p>Advanced-design PSI components: (<b>a</b>) Rotation axis, (<b>b</b>) alignment rod, (<b>c</b>) notch check, and (<b>d</b>) tibial alignment rod.</p>
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<p>Planning interface of the Kneesign.</p>
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<p>Illustration of coronal alignment parameters, including HKA, FCA, TCA.</p>
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<p>Illustration of sagittal alignment parameters, including TSA and FSA.</p>
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17 pages, 4693 KiB  
Article
Rheological Characterization and Printability of Sodium Alginate–Gelatin Hydrogel for 3D Cultures and Bioprinting
by Mohan Kumar Dey and Ram V. Devireddy
Biomimetics 2025, 10(1), 28; https://doi.org/10.3390/biomimetics10010028 - 4 Jan 2025
Viewed by 988
Abstract
The development of biocompatible hydrogels for 3D bioprinting is essential for creating functional tissue models and advancing preclinical drug testing. This study investigates the formulation, printability, mechanical properties, and biocompatibility of a novel Alg-Gel hydrogel blend (alginate and gelatin) for use in extrusion-based [...] Read more.
The development of biocompatible hydrogels for 3D bioprinting is essential for creating functional tissue models and advancing preclinical drug testing. This study investigates the formulation, printability, mechanical properties, and biocompatibility of a novel Alg-Gel hydrogel blend (alginate and gelatin) for use in extrusion-based 3D bioprinting. A range of hydrogel compositions were evaluated for their rheological behavior, including shear-thinning properties, storage modulus, and compressive modulus, which are crucial for maintaining structural integrity during printing and supporting cell viability. The printability assessment of the 7% alginate–8% gelatin hydrogel demonstrated that the 27T tapered needle achieved the highest normalized Printability Index (POInormalized = 1), offering the narrowest strand width (0.56 ± 0.02 mm) and the highest printing accuracy (97.2%) at the lowest printing pressure (30 psi). In contrast, the 30R needle, with the smallest inner diameter (0.152 mm) and highest printing pressure (80 psi), resulted in the widest strand width (0.70 ± 0.01 mm) and the lowest accuracy (88.8%), resulting in a POInormalized of 0.274. The 30T and 27R needles demonstrated moderate performance, with POInormalized values of 0.758 and 0.558, respectively. The optimized 7% alginate and 8% gelatin blend demonstrated favorable printability, mechanical strength, and cell compatibility with MDA-MB-213 breast cancer cells, exhibiting high cell proliferation rates and minimal cytotoxicity over a 2-week culture period. This formulation offers a balanced approach, providing sufficient viscosity for precision printing while minimizing shear stress to preserve cell health. This work lays the groundwork for future advancements in bioprinted cancer models, contributing to the development of more effective tools for drug screening and personalized medicine. Full article
(This article belongs to the Section Biomimetic Design, Constructions and Devices)
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<p>(<b>a</b>) Scaffold grid design with extruded square along the path line and (<b>b</b>) layered scaffold configuration with 90° rotation and z-axis duplication.</p>
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<p>(<b>a</b>) Laser-cut square-shaped molds and (<b>b</b>) casting process for Alg-Gel hydrogel samples.</p>
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<p>MDA-MB-231 cells seeded on 3D-bioprinted scaffolds in a 12-well plate.</p>
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<p>Rheological characterization of hydrogel mixtures with varying alginate and gelatin concentrations (4% Alg–8% Gel, 5% Alg–6% Gel, 5% Alg–6% Gel, 7% Alg–8% Gel). (<b>a</b>) Storage modulus (G′) and loss modulus (G″) as a function of angular frequency, showing an increase in both moduli with higher alginate concentration; (<b>b</b>) tan δ vs. angular frequency for the hydrogel mixtures, with tan δ values consistently below 1 across all formulations; (<b>c</b>) shear viscosity as a function of shear rate, demonstrating shear-thinning behavior in all hydrogel mixtures. (<b>d</b>) Axial stress vs. compression percentage, highlighting distinct mechanical behaviors across formulations, with 4% Alg–8% Gel showing the highest compressive strength.</p>
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<p>Swelling ratio of Alg-Gel hydrogels over time.</p>
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<p>UATR spectra of (<b>a</b>) alginate, (<b>b</b>) alginate–gelatin, and (<b>c</b>) alginate–gelatin–calcium chloride.</p>
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<p>Three-dimensional bioprinting scaffold on Petri dish.</p>
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<p>Evaluation of cell proliferation and viability of MDA-MB-213 cells cultured on Alg-Gel hydrogels over two weeks: (<b>a</b>) cell viability at 1 day; (<b>b</b>) cell viability at 1 week; (<b>c</b>) cell viability at 2 weeks, confirming hydrogel cytocompatibility and support for long-term culture; (<b>d</b>) cell viability.</p>
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15 pages, 8467 KiB  
Case Report
In Situ Fixation and Intertrochanteric Osteotomy for Severe Slipped Capital Femoral Epiphysis Following Femoral Neck Fracture: A Case Report with Application of Virtual Surgical Planning and 3D-Printed Patient-Specific Instruments
by Giovanni Trisolino, Grazia Chiara Menozzi, Alessandro Depaoli, Olaf Stefan Schmidt, Marco Ramella, Marianna Viotto, Marco Todisco, Massimiliano Mosca and Gino Rocca
J. Pers. Med. 2025, 15(1), 13; https://doi.org/10.3390/jpm15010013 - 1 Jan 2025
Viewed by 637
Abstract
Background: Femoral neck fractures are rare but serious injuries in children and adolescents, often resulting from high-energy trauma and prone to complications like avascular necrosis (AVN) and nonunion. Even rarer is the development of slipped capital femoral epiphysis (SCFE) following femoral neck [...] Read more.
Background: Femoral neck fractures are rare but serious injuries in children and adolescents, often resulting from high-energy trauma and prone to complications like avascular necrosis (AVN) and nonunion. Even rarer is the development of slipped capital femoral epiphysis (SCFE) following femoral neck fracture, which presents unique diagnostic and treatment challenges. SCFE can destabilize the femoral head, with severe cases requiring complex surgical interventions. Case presentation: This report details a case of a 15-year-old male with autism spectrum disorder (ASD) who developed severe SCFE one month after treatment for a Delbet type III femoral neck fracture. The condition was managed with an Imhäuser intertrochanteric osteotomy (ITO), in situ fixation (ISF), and osteochondroplasty (OChP), supported by virtual surgical planning (VSP) and 3D-printed patient-specific instruments (PSIs) for precise correction and fixation. Discussion: The surgery was completed without complications. Six months after the operation, the patient exhibited a pain-free, mobile hip with radiographic evidence of fracture healing and no signs of AVN. Functional outcomes were favorable despite rehabilitation challenges due to ASD. Conclusions: The Imhäuser ITO, combined with ISF and OChP, effectively addressed severe SCFE after femoral neck fracture, minimizing AVN risk. VSP and PSIs enhanced surgical accuracy and efficiency, demonstrating their value in treating rare and complex pediatric orthopedic conditions. Full article
(This article belongs to the Special Issue Orthopedic Trauma: New Perspectives and Innovative Techniques)
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<p>(<b>a</b>) Radiograph after trauma showing a Delbet Type III femoral neck fracture; (<b>b</b>) radiograph after open reduction and internal fixation surgery; (<b>c</b>) radiograph at one-month follow-up showing signs of mild SCFE (white arrow); (<b>d</b>) radiograph at three-month follow-up showing worsening SCFE (white arrow).</p>
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<p>(<b>a</b>) Radiograph after trauma showing a Delbet Type III femoral neck fracture; (<b>b</b>) radiograph after open reduction and internal fixation surgery; (<b>c</b>) radiograph at one-month follow-up showing signs of mild SCFE (white arrow); (<b>d</b>) radiograph at three-month follow-up showing worsening SCFE (white arrow).</p>
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<p>(<b>a</b>) Overlap of the healthy contralateral femur (shown in green with an orange outline); (<b>b</b>) Identification of a plane tangent to the base of the slipped epiphysis and of the position of the screw for ISF (outlined in orange).</p>
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<p>(<b>a</b>) The first step was to determine the final position of the proximal femur after an intertrochanteric closing wedge and derotative osteotomy in order to improve the range of motion of the hip; (<b>b</b>) final positioning of the 90° blade plate; (<b>c</b>) the plate (highlighted in orange) was positioned in order to avoid the holes of the previous hardware (in dark gray) as much as possible; (<b>d</b>) restoring the femur to its deformed state maintaining the plate in its position relative to the proximal femur reveals the initial position of the blade and the shape of the bone wedge that needs to be removed (in red).</p>
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<p>(<b>a</b>) Anterior view of the proximal femur with the initial plate positioning and the bone wedge to remove; (<b>b</b>) positioning of the guidewire for the cannulated screw (the more anterior wire) and two lateral wires for the placement of the blade plate; (<b>c</b>) design of the first 3D-printed PSI (highlighted in light blue).</p>
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<p>(<b>a</b>) The position of the chisel along the proximal 1.5 mm guidewire and of the distal 1.5 mm guidewire; (<b>b</b>) the second PSI(highlighted in light blue), designed to fit onto the distal guidewire, precisely indicates the directions for chisel insertion and for the distal cut; (<b>c</b>) design of the third PSI (highlighted in light blue), featuring similar characteristics to the second, but specifically guiding the proximal cut; (<b>d</b>) simulated correction in valgus, flexion, and internal rotation of the distal femur.</p>
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<p>The final 3D-printed samples of the PSIs. From the left to the right: the first PSI for wire positioning, the second PSI for the distal cut, and the third PSI for the proximal cut.</p>
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<p>(<b>a</b>) Anatomical landmarks and fluoroscopy check; (<b>b</b>) L-incision along the proximal inferior border of the vastus lateralis; (<b>c</b>) removal of the DHS plate and of the proximal anti-rotation screw.</p>
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<p>The intraoperative application of the first PSI. (<b>a</b>) Intraoperative picture of the first PSI in place; (<b>b</b>) intraoperative imaging of guidewire positioning; (<b>c</b>) position of guidewires for the free screw for ISF (highlighted in yellow) and for the blade plate (highlighted in orange) in the VSP for comparison with the intraoperative imaging.</p>
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<p>The intraoperative application of the second PSI. (<b>a</b>) The distal 1.5 mm guidewire was leveraged to precisely fit the second PSI; (<b>b</b>) a longitudinal line was marked to monitor rotational alignment.</p>
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<p>The intraoperative application of the third PSI. (<b>a</b>) Application of the third cutting guide on the previously inserted guidewire; (<b>b</b>) application of the third guide to set the correct angulation of the chisel.</p>
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<p>(<b>a</b>) Intraoperative fluoroscopy showing the anterior bump; (<b>b</b>) intraoperative fluoroscopy showing the bump removal after the OChP (fine needle marks the area of the resected bump).</p>
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<p>Radiographs at 6 months follow-up. (<b>a</b>) Anteroposterior view; (<b>b</b>) frog-leg view.</p>
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20 pages, 3020 KiB  
Article
Innovative Road Maintenance: Leveraging Smart Technologies for Local Infrastructure
by Laura Fabiana Jáuregui Gallegos, Rubén Gamarra Tuco and Alain Jorge Espinoza Vigil
Designs 2024, 8(6), 134; https://doi.org/10.3390/designs8060134 - 16 Dec 2024
Viewed by 1179
Abstract
Roads are essential for economic development, facilitating the circulation of services and resources. This research seeks to provide local governments with a comprehensive framework to enhance road maintenance, focusing on the surface and functional evaluation of pavements. It compares the conventional methods International [...] Read more.
Roads are essential for economic development, facilitating the circulation of services and resources. This research seeks to provide local governments with a comprehensive framework to enhance road maintenance, focusing on the surface and functional evaluation of pavements. It compares the conventional methods International Roughness Index (IRI) and the Pavement Condition Index (PCI) with novel methodologies that employ smart technologies. The efficiency of such technologies in the maintenance of local roads in Peru is analyzed, taking as a case study a 2 km section of the AR-780 highway in the city of Arequipa. The International Roughness Index (IRI) obtained through the Merlin Roughness Meter and the Roadroid application were compared, finding a minimum variation of 4.0% in the left lane and 8.7% in the right lane. Roadroid turned out to be 60 times faster than the conventional method, with a cost difference of 220.11 soles/km (USD $57.92/km). Both methods classified the Present Serviceability Index (PSI) as good, validating the accuracy of Roadroid. In addition, the Pavement Condition Index (PCI) was evaluated with conventional methods and a DJI Mavic 2 Pro drone, finding a variation of 6.9%. The cost difference between the methodologies was 1047.73 soles/km (USD $275.72/km), and the use of the drone proved to be 10 times faster than visual inspection. This study contributes to closing the knowledge gap regarding the use of smart technologies for better pavement management on local roads, so the actors in charge of such infrastructure make decisions based on science, contributing to the well-being of the population. Full article
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<p>Flowchart of the Rugosimeter Merlin Equipment method for determining the IRI.</p>
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<p>Flowchart of the Roadroid method for determining the IRI.</p>
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<p>Procedure for measuring PCI (Pavement Condition Index) by visual inspection [<a href="#B23-designs-08-00134" class="html-bibr">23</a>].</p>
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<p>PCI (Pavement Condition Index) evaluation by flying the DJI Mavic 2 pro Drone.</p>
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<p>IRI right lane with Merlin Roughness tester.</p>
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<p>IRI left lane with Merlin roughness tester.</p>
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<p>IRI right lane using Roadroid.</p>
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<p>IRI left lane using Roadroid.</p>
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<p>IRI vs. eIRI dispersion table—Right Lane.</p>
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<p>IRI vs. eIRI dispersion table—Left Lane.</p>
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<p>Cost Benefit in time between the Merlin test and Roadroid.</p>
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<p>PCI values calculated for both methodologies.</p>
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<p>PCI values calculated for both methodologies.</p>
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<p>PCI for both types of evaluation and their respective classification.</p>
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<p>Cost-benefit analysis between the traditional system and the method using drones.</p>
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27 pages, 3771 KiB  
Article
A Novel Supplement Consisting of Rice, Silkworm Pupae and a Mixture of Ginger and Holy Basil Improves Post-Stroke Cognitive Impairment
by Putthiwat Thongwong, Jintanaporn Wattanathorn and Wipawee Thukham-mee
Nutrients 2024, 16(23), 4144; https://doi.org/10.3390/nu16234144 - 29 Nov 2024
Viewed by 844
Abstract
Backgrounds/Objectives: Despite the increasing importance of the condition of post-stroke cognitive impairment (PSCI), the current therapy efficacy is limited. Since oxidative stress and inflammation are targeted in anti-stroke therapy, we aimed to assess the protective effect against PSI of an orodispersible film loaded [...] Read more.
Backgrounds/Objectives: Despite the increasing importance of the condition of post-stroke cognitive impairment (PSCI), the current therapy efficacy is limited. Since oxidative stress and inflammation are targeted in anti-stroke therapy, we aimed to assess the protective effect against PSI of an orodispersible film loaded with silkworm pupae hydrolysate and a combined extract of holy basil and ginger (JP1), which show antioxidant, and anti-inflammation effects. Methods: Male Wistar rats (200–250 g) were administered JP1 at doses of 1, 10, and 100 mg/kg BW 45 min before a 6 h immobilization stress exposure for 14 days. Then, the right middle cerebral artery was permanently occluded (MCAO) and JP1 was continually administered for 21 days after MCAO. Spatial and non-spatial memory and the possible underlying mechanisms were also explored. Results: JP1 improved oxidative stress, inflammation, apoptosis, Erk signaling pathway, cholinergic function, and the growth of Lactobacillus and Bifidobacterium spp. in feces. These results suggest that JP1 improves PSCI, possibly involving the above mechanisms. Furthermore, serum corticosterone also decreased. Conclusions: Our results suggest that JP1 is a potential candidate for combating PSCI following exposure to stroke plus stress. However, a clear understanding of the precise active ingredient and the detailed mechanisms require further investigation. Full article
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<p>Escape latency and retention time of various groups throughout a 21-day study period after an operation: (<b>A</b>) escape latency time; (<b>B</b>) retention time. Data are presented as mean ± SEM (n = 6/group). <sup>aaa</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the naïve control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo-treated group, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo + sham operation-treated group, #, ##, ### <span class="html-italic">p</span> value &lt; 0.05, 0.01 and 0.001, respectively, when compared to the placebo + MCAO-treated group, *, **, *** <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001, respectively, when compared to the stress + placebo + MCAO-treated group.</p>
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<p>Novel object ratio (NOR) of various groups over a 21-day experimental period after an operation. (<b>A</b>) Novel object ratio (trial 2); (<b>B</b>) novel object ratio (trial 3). Data are presented as the mean ± SEM (n = 6/group). <sup>a</sup> <span class="html-italic">p</span> value &lt; 0.05 when compared to the naïve control group, <sup>b, bb</sup> <span class="html-italic">p</span> value &lt; 0.05 and 0.01, respectively, when compared to the stress + placebo-treated group, <sup>cc, ccc</sup> <span class="html-italic">p</span> value &lt; 0.01 and 0.001, respectively, when compared to the stress + placebo + sham operation-treated group, ##, ### <span class="html-italic">p</span> value &lt; 0.01 and 0.001, respectively, when compared to the placebo + MCAO-treated group, *, **, *** <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001, respectively, when compared to the stress + placebo + MCAO-treated group.</p>
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<p>The density of survival neurons in various subregions of the hippocampus of different treatment groups. (<b>A</b>) Representative pictures of the survival neurons density in various subregions of the hippocampus. (<b>B</b>) Quantitative data on the survival neurons density in various subregions of the hippocampus. Data are presented as mean ± SEM (n = 6/group). <sup>aaa</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the naïve control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo-treated group, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo + sham operation-treated group, ## <span class="html-italic">p</span> value &lt; 0.01 when compared to the placebo + MCAO-treated group, **, *** <span class="html-italic">p</span> value &lt; 0.01 and 0.001, respectively, when compared to the stress + placebo + MCAO-treated group. Magnification 40× (scale bar = 50 μM). (A) The naïve control group, (B) the stress + placebo-treated group, (C) the stress + placebo + sham operation-treated group, (D) the placebo + MCAO-treated group, (E) the stress + placebo + MCAO-treated group, (F) the stress + vitamin C 250 mg/kg BW + MCAO-treated group, (G) the stress + piracetam 250 mg/kg BW + MCAO-treated group, (H) the stress + tianeptine 15 mg/kg BW + MCAO-treated group, (I) the stress + JP1 1 mg/kg BW + MCAO-treated group, (J) the stress + JP1 10 mg/kg BW + MCAO-treated group, (K) the stress + JP1 100 mg/kg BW + MCAO-treated group.</p>
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<p>The density of survival neurons in various subregions of the hippocampus of different treatment groups. (<b>A</b>) Representative pictures of the survival neurons density in various subregions of the hippocampus. (<b>B</b>) Quantitative data on the survival neurons density in various subregions of the hippocampus. Data are presented as mean ± SEM (n = 6/group). <sup>aaa</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the naïve control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo-treated group, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo + sham operation-treated group, ## <span class="html-italic">p</span> value &lt; 0.01 when compared to the placebo + MCAO-treated group, **, *** <span class="html-italic">p</span> value &lt; 0.01 and 0.001, respectively, when compared to the stress + placebo + MCAO-treated group. Magnification 40× (scale bar = 50 μM). (A) The naïve control group, (B) the stress + placebo-treated group, (C) the stress + placebo + sham operation-treated group, (D) the placebo + MCAO-treated group, (E) the stress + placebo + MCAO-treated group, (F) the stress + vitamin C 250 mg/kg BW + MCAO-treated group, (G) the stress + piracetam 250 mg/kg BW + MCAO-treated group, (H) the stress + tianeptine 15 mg/kg BW + MCAO-treated group, (I) the stress + JP1 1 mg/kg BW + MCAO-treated group, (J) the stress + JP1 10 mg/kg BW + MCAO-treated group, (K) the stress + JP1 100 mg/kg BW + MCAO-treated group.</p>
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<p>The density of survival neurons in the prefrontal cortex of various treatment groups. (<b>A</b>) Representative pictures of the survival neurons density in the prefrontal cortex. (<b>B</b>) Quantitative data on the survival neurons density in the prefrontal cortex. Data are presented as the mean ± SEM (n = 6/group). <sup>aaa</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the naïve control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo-treated group, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo + sham operation-treated group, *** <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo + MCAO-treated group-treated group. Magnification 40× (scale bar = 50 μM). (A) The naïve control group, (B) the stress + placebo-treated group, (C) the stress + placebo + sham operation-treated group, (D) the placebo + MCAO-treated group, (E) the stress + placebo + MCAO-treated group, (F) the stress + vitamin C 250 mg/kg BW + MCAO-treated group, (G) the stress + piracetam 250 mg/kg BW + MCAO-treated group, (H) the stress + tianeptine 15 mg/kg BW + MCAO-treated group, (I) the stress + JP1 1 mg/kg BW + MCAO-treated group, (J) the stress + JP1 10 mg/kg BW + MCAO-treated group, (K) the stress + JP1 100 mg/kg BW + MCAO-treated group.</p>
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<p>The effect of JP1 on serum corticosterone level after MCAO induction. Data are presented as mean ± SEM (n = 6/group). <sup>aaa</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the naïve control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo-treated group, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the stress + placebo + sham operation-treated group, ### <span class="html-italic">p</span> value &lt; 0.001 when compared to the placebo + MCAO group-treated group, *, ** <span class="html-italic">p</span> value &lt; 0.05 and 0.01, respectively, when compared to the stress + placebo + MCAO-treated group.</p>
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<p>Acetylcholinesterase (AChE) activity of various treated rats at 21 days after MCAO. (<b>A</b>) AChE in the prefrontal cortex (<b>B</b>) AChE in the hippocampus. Data are presented as mean ± SEM (n = 6/group). <sup>a, aaa</sup> <span class="html-italic">p</span> value &lt; 0.05 and 0.001, respectively, when compared to the control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo + sham operation, *, **, *** <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001 when compared to stress + placebo + MCAO.</p>
Full article ">Figure 6 Cont.
<p>Acetylcholinesterase (AChE) activity of various treated rats at 21 days after MCAO. (<b>A</b>) AChE in the prefrontal cortex (<b>B</b>) AChE in the hippocampus. Data are presented as mean ± SEM (n = 6/group). <sup>a, aaa</sup> <span class="html-italic">p</span> value &lt; 0.05 and 0.001, respectively, when compared to the control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo + sham operation, *, **, *** <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001 when compared to stress + placebo + MCAO.</p>
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<p>Interleukin-6 (IL-6) expression in the hippocampus of various treatment groups. Data are presented as mean ± SEM (n = 6/group). <sup>a, aaa</sup> <span class="html-italic">p</span> value &lt; 0.05 and 0.001, respectively, when compared to the control group, <sup>b, bbb</sup> <span class="html-italic">p</span> value &lt; 0.05 and 0.001, respectively, when compared to stress + placebo, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo + sham operation, *** <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo + MCAO.</p>
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<p>Tumor necrosis factor-alpha (TNF-α) expression in the hippocampus of various treated groups. Data are presented as mean ± SEM (n = 6/group). <sup>a, aaa</sup> <span class="html-italic">p</span> value &lt; 0.05 and 0.001, respectively, when compared to the control group, <sup>b</sup> <span class="html-italic">p</span> value &lt; 0.05 when compared to stress + placebo, <sup>c</sup> <span class="html-italic">p</span> value &lt; 0.05 when compared to stress + placebo + sham operation, *, **, *** <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001, respectively, when compared to stress + placebo + MCAO.</p>
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<p>Effect of various treatments on the expression of caspase-3 in the hippocampus. Data are presented as mean ± SEM (n = 6/group). <sup>aaa</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo + sham operation, <sup>###</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to placebo + MCAO, **, *** <span class="html-italic">p</span> value &lt; 0.01 and 0.001, respectively, when compared to stress + placebo + MCAO.</p>
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<p>The effect of various treatments on the expression of pErk/Erk in the hippocampus. Data are presented as mean ± SEM (n = 6/group). <sup>aaa</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to the control group, <sup>bbb</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo, <sup>ccc</sup> <span class="html-italic">p</span> value &lt; 0.001 when compared to stress + placebo + sham operation, *** <span class="html-italic">p</span> value &lt; 0.001, respectively, when compared to stress + placebo + MCAO.</p>
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<p>Effect of various treatments on amount of <span class="html-italic">Lactobacillus</span> spp. and <span class="html-italic">Bifidobacterium</span> spp. in the feces of various treated rats. (<b>A</b>) <span class="html-italic">Lactobacillus</span> spp. (<b>B</b>) <span class="html-italic">Bifidobacterium</span> spp. Data are presented as mean ± SEM (n = 6/group). <sup>aa, aaa</sup> <span class="html-italic">p</span> value &lt; 0.01 and 0.001, respectively, when compared to the control group, <sup>b, bb, bbb</sup> <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001, respectively, when compared to stress + placebo, <sup>c, cc, ccc</sup> <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001, respectively, when compared to stress + placebo + sham operation, *, **, *** <span class="html-italic">p</span> value &lt; 0.05, 0.01, and 0.001, respectively, when compared to stress + placebo + MCAO.</p>
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<p>Schematic diagram illustrating the mechanisms of action of JP1.</p>
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15 pages, 4456 KiB  
Article
Interaction Dynamics of Plant-Specific Insert Domains from Cynara cardunculus: A Study of Homo- and Heterodimer Formation
by Miguel Sampaio, Sofia Santos, Ana Marta Jesus, José Pissarra, Gian Pietro Di Sansebastiano, Jonas Alvim and Cláudia Pereira
Molecules 2024, 29(21), 5139; https://doi.org/10.3390/molecules29215139 - 30 Oct 2024
Viewed by 826
Abstract
Plant aspartic proteinases (APs) from Cynara cardunculus feature unique plant-specific insert (PSI) domains, which serve as essential vacuolar sorting determinants, mediating the transport of proteins to the vacuole. Although their role in vacuolar trafficking is well established, the exact molecular mechanisms that regulate [...] Read more.
Plant aspartic proteinases (APs) from Cynara cardunculus feature unique plant-specific insert (PSI) domains, which serve as essential vacuolar sorting determinants, mediating the transport of proteins to the vacuole. Although their role in vacuolar trafficking is well established, the exact molecular mechanisms that regulate PSI interactions and functions remain largely unknown. This study explores the ability of PSI A and PSI B to form homo- and heterodimers using a combination of pull-down assays, the mating-based split-ubiquitin system (mbSUS), and FRET-FLIM analyses. Pull-down assays provided preliminary evidence of potential PSI homo- and heterodimer formation. This was conclusively validated by the more robust in vivo mbSUS and FRET-FLIM assays, which clearly demonstrated the formation of both homo- and heterodimers between PSI A and PSI B within cellular environments. These findings suggest that PSI dimerization is related to their broader functional role, particularly in protein trafficking. Results open new avenues for future research to explore the full extent of PSI dimerization and its implications in plant cellular processes. Full article
(This article belongs to the Section Molecular Structure)
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Graphical abstract

Graphical abstract
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<p>(<b>A</b>) Schematic representation of PSI-tagged versions used in pull-down assays. SDS-PAGE analysis of PSI–PSI interactions by pull-down assay at pH 6.8 (<b>B</b>,<b>C</b>) and 7.4 (<b>D</b>,<b>E</b>). (<b>B</b>(<b>a</b>),<b>C,D</b>(<b>a</b>) and <b>E</b>) Inputs and pull-down reactions were analyzed on a silver-stained gel. Each pull-down lane was loaded with 15 μL of pull-down reaction and input lanes were loaded with 1/3 of the amount of purified protein added to each reaction. (<b>B</b>)(<b>b</b>)–(<b>D</b>)(<b>b</b>) Western blot analysis to evaluate the presence of FLAG-tagged PSIs in the pull-down reactions. MW: Molecular Weight (PageRuler<sup>TM</sup> Prestained Protein Ladder, Thermo Scientific, Waltham, MA, USA). Red, green, and blue arrows represent GST-PSIA/PSIB-6xHis, FLAG-PSI A-6xHis, and FLAG-PSIB-6xhis, respectively.</p>
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<p>Split ubiquitin yeast two-hybrid assay. (<b>A</b>) Illustrations represent the bait and prey structures. The bait protein is fused to a typical GPI anchor [<a href="#B22-molecules-29-05139" class="html-bibr">22</a>]. (<b>B</b>) Yeast mating-based split-ubiquitin assay for interaction, including negative control (NubG) and positive control (NubI). Yeast diploids dropped at 1:10 and 1:100 dilutions spotted (<b>left</b> to <b>right</b>) on complete synthetic medium without Trp, Leu, Ura, and Met (CSM-LTUM) to verify mating; on CSM without Trp, Leu, Ura, Ade, His, and Met (CSM-LTUMAH) to verify adenine- and histidine-independent growth; and with Met additions to suppress bait expression.</p>
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<p>FRET-FLIM interaction assay. (<b>A</b>) Schematic representation of the fluorescent protein fusions performed in this study. Blue, yellow, green, and red rectangles represent SP-PSIA, SP-PSIB, green fluorescent protein (GFP), and red fluorescent protein (mCherry), respectively. (<b>B</b>) Mean lifetime graphic representation of PSI A—PSIA/B fluorescent protein pairs. Asterisks represent statistically significant differences in mean fluorescence lifetime with an α threshold of 0.05 and a 95% confidence interval (***, <span class="html-italic">p</span> &lt; 0.0002; ****, <span class="html-italic">p</span> &lt; 0.0001). (<b>C</b>) Subcellular localization of PSI A—PSIA/B fluorescent protein pairs. (<b>D</b>) Mean lifetime graphic representation of PSI B—PSI A/B fluorescent protein pairs. Asterisks represent statistically significant differences in mean fluorescence lifetime with an α threshold of 0.05 and a 95% confidence interval (****, <span class="html-italic">p</span> &lt; 0.0001). (<b>E</b>) Subcellular localization of PSI B—PSIA/B fluorescent protein pairs. SP—signal peptide.</p>
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<p>Bioinformatic analysis of the cardoon PSI A and PSI B amino acidic sequence. (<b>A</b>) Identification of conserved regions between PSI A and PSI B. Analysis performed with NetPhos 3.1 webtool (<a href="https://services.healthtech.dtu.dk/services/NetPhos-3.1/" target="_blank">https://services.healthtech.dtu.dk/services/NetPhos-3.1/</a>, accessed on 21 January 2024). Yellow zones represent conserved regions between PSI A and B while the red asterisk (*) represents a glycosylation site in PSI B. (<b>B</b>) Prediction of phosphorylation sites in both PSIs. Produced with Jalview webtool (<a href="https://www.jalview.org" target="_blank">https://www.jalview.org</a>, accessed on 21 January 2024). (<b>C</b>) Analysis of the hydrophilic potential of PSI A and PSI B amino acid sequence. Produced with Jalview webtool (<a href="https://www.jalview.org/" target="_blank">https://www.jalview.org/</a>, accessed on 21 January 2024) (<b>D</b>) Lipid binding potential prediction of amino acid regions in cardoon PSI A and PSI B. Analysis done with DisoLipPred webtool (<a href="http://biomine.cs.vcu.edu/servers/DisoLipPred/" target="_blank">http://biomine.cs.vcu.edu/servers/DisoLipPred/</a>, accessed on 21 January 2024). (<b>E</b>) Tertiary structure prediction of PSI A and PSI B. Double-edged red arrow is used to show that PSI A possesses a clustered tertiary structure while PSI B is a bit wider. Produced with AlphaFold webtool (<a href="https://alphafold.ebi.ac.uk/" target="_blank">https://alphafold.ebi.ac.uk/</a>, accessed on 21 January 2024). Dashed lines represent the threshold value for putative lipid interaction detected by the software. In all figures, the yellow square represents an uncharacterized but conserved loop region found in both PSIs that has potential for lipid interaction and therefore may interact with membranes.</p>
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31 pages, 42225 KiB  
Article
Comparative Insights into Photosynthetic, Biochemical, and Ultrastructural Mechanisms in Hibiscus and Pelargonium Plants
by Renan Falcioni, Werner Camargos Antunes, Roney Berti de Oliveira, Marcelo Luiz Chicati, José Alexandre M. Demattê and Marcos Rafael Nanni
Plants 2024, 13(19), 2831; https://doi.org/10.3390/plants13192831 - 9 Oct 2024
Viewed by 1787
Abstract
Understanding photosynthetic mechanisms in different plant species is crucial for advancing agricultural productivity and ecological restoration. This study presents a detailed physiological and ultrastructural comparison of photosynthetic mechanisms between Hibiscus (Hibiscus rosa-sinensis L.) and Pelargonium (Pelargonium zonale (L.) L’Hér. Ex Aiton) [...] Read more.
Understanding photosynthetic mechanisms in different plant species is crucial for advancing agricultural productivity and ecological restoration. This study presents a detailed physiological and ultrastructural comparison of photosynthetic mechanisms between Hibiscus (Hibiscus rosa-sinensis L.) and Pelargonium (Pelargonium zonale (L.) L’Hér. Ex Aiton) plants. The data collection encompassed daily photosynthetic profiles, responses to light and CO2, leaf optical properties, fluorescence data (OJIP transients), biochemical analyses, and anatomical observations. The findings reveal distinct morphological, optical, and biochemical adaptations between the two species. These adaptations were associated with differences in photochemical (AMAX, E, Ci, iWUE, and α) and carboxylative parameters (VCMAX, ΓCO2, gs, gm, Cc, and AJMAX), along with variations in fluorescence and concentrations of chlorophylls and carotenoids. Such factors modulate the efficiency of photosynthesis. Energy dissipation mechanisms, including thermal and fluorescence pathways (ΦPSII, ETR, NPQ), and JIP test-derived metrics highlighted differences in electron transport, particularly between PSII and PSI. At the ultrastructural level, Hibiscus exhibited optimised cellular and chloroplast architecture, characterised by increased chloroplast density and robust grana structures. In contrast, Pelargonium displayed suboptimal photosynthetic parameters, possibly due to reduced thylakoid counts and a higher proportion of mitochondria. In conclusion, while Hibiscus appears primed for efficient photosynthesis and energy storage, Pelargonium may prioritise alternative cellular functions, engaging in a metabolic trade-off. Full article
(This article belongs to the Special Issue Photosynthesis and Carbon Metabolism in Higher Plants and Algae)
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Figure 1

Figure 1
<p>Representative of Hibiscus (<span class="html-italic">Hibiscus rosa-sinensis</span> L.) and Pelargonium (<span class="html-italic">Pelargonium zonale</span> (L.) L’Hér. Ex Aiton) plants. Hibiscus leaves exhibit a waxy surface and large size, while Pelargonium leaves are smaller, lobed, and covered with trichomes.</p>
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<p>Spectral analysis of leaves (in vivo) and pigments (in vitro) in Hibiscus and Pelargonium plants. (<b>A</b>) Reflectance factor (Ref) from 350 to 2500 nm. (<b>B</b>) Transmittance factor (Trans) from 350 to 2500 nm. (<b>C</b>) Absorbance factor (Abs) from 350 to 2500 nm. (<b>D</b>) Spectral analysis of chloroplast and extrachloroplast pigments from 350 to 750 nm, with specific peaks for chlorophylls (green arrow) and flavonoids (pink arrow). The solid lines represent the adaxial surface, and the dashed lines represent the abaxial surface. The arrows highlight peaks for chlorophyll and flavonoid concentrations. Blue arrows denote water-specific spectral signatures. Peak shifts indicate variations due to pigments such as chlorophylls, carotenoids, and phenolic compounds. (<span class="html-italic">n</span> = 100).</p>
Full article ">Figure 2 Cont.
<p>Spectral analysis of leaves (in vivo) and pigments (in vitro) in Hibiscus and Pelargonium plants. (<b>A</b>) Reflectance factor (Ref) from 350 to 2500 nm. (<b>B</b>) Transmittance factor (Trans) from 350 to 2500 nm. (<b>C</b>) Absorbance factor (Abs) from 350 to 2500 nm. (<b>D</b>) Spectral analysis of chloroplast and extrachloroplast pigments from 350 to 750 nm, with specific peaks for chlorophylls (green arrow) and flavonoids (pink arrow). The solid lines represent the adaxial surface, and the dashed lines represent the abaxial surface. The arrows highlight peaks for chlorophyll and flavonoid concentrations. Blue arrows denote water-specific spectral signatures. Peak shifts indicate variations due to pigments such as chlorophylls, carotenoids, and phenolic compounds. (<span class="html-italic">n</span> = 100).</p>
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<p>Concentrations of compounds in Hibiscus and Pelargonium plants. (<b>A</b>) Chlorophyll a (g m<sup>−2</sup>). (<b>B</b>) Chlorophyll b (g m<sup>−2</sup>). (<b>C</b>) Total chlorophyll (<span class="html-italic">a</span>+<span class="html-italic">b</span>) (g m<sup>−2</sup>). (<b>D</b>) Carotenoids (g m<sup>−2</sup>). (<b>E</b>) Chl a/b ratio. (<b>F</b>) Car/Chl a+b ratio. (<b>G</b>) Flavonoids (nmol cm<sup>−2</sup>). (<b>H</b>) Phenolic compounds (mL cm<sup>−2</sup>). (<b>I</b>) Chlorophyll a (mg g<sup>−1</sup>). (<b>J</b>) Chlorophyll b (mg g<sup>−1</sup>). (<b>K</b>) Total chlorophyll (a+b) (mg g<sup>−1</sup>). (<b>L</b>) Carotenoids (mg g<sup>−1</sup>). (<b>M</b>) Flavonoids (μmol g<sup>−1</sup>). (<b>N</b>) Radical scavenging (% of antioxidant activity). (<b>O</b>) Lignin (mg g<sup>−1</sup>). (<b>P</b>) Cellulose (nmol mg<sup>−1</sup>). Asterisks over bars indicate statistically significant differences in the <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.01). Mean ± SE (<span class="html-italic">n</span> = 100).</p>
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<p>Daily curves between 6 and 20 h were evaluated over three days for Hibiscus and Pelargonium plants. (<b>A</b>–<b>C</b>) Net assimilation rate (μmol CO<sub>2</sub> m<sup>−2</sup> s<sup>−1</sup>). (<b>D</b>–<b>F</b>) Internal CO<sub>2</sub> concentration (μmol CO<sub>2</sub> mol<sup>−1</sup>). (<b>G</b>–<b>H</b>) Net transpiration rate (mmol H<sub>2</sub>O m<sup>−2</sup> s<sup>−1</sup>). (<b>J</b>–<b>M</b>) Stomatal conductance (mol H<sub>2</sub>O m<sup>−2</sup> s<sup>−1</sup>). Black bars indicate darkness, and yellow bars indicate light environments. Mean ± SE (<span class="html-italic">n</span> = 20).</p>
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<p>Response curves for Hibiscus and Pelargonium plants. (<b>A</b>) Net photosynthetic light (<span class="html-italic">A</span>-PPFD) response. (<b>B</b>) Net photosynthetic CO<sub>2</sub> (<span class="html-italic">A</span>−<span class="html-italic">C</span><sub>i</sub>) responses. (<b>C</b>) Stomatal conductance (<span class="html-italic">g</span><sub>s</sub>) and transpiration rate (<span class="html-italic">E</span>). (<b>D</b>) Intrinsic water use efficiency (<span class="html-italic">i</span>WUE) response curves. The red arrow indicates the inflection point of 426 μmol mol<sup>−1</sup> CO<sub>2</sub> for decreased <span class="html-italic">C</span><sub>i</sub> in leaves. Mean ± SE (<span class="html-italic">n</span> = 10).</p>
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<p>Fluorescence response curves obtained simultaneously with the photosynthetic response to light in Hibiscus and Pelargonium plants. (<b>A</b>) Effective quantum yield of PSII (Fv’/Fm’). The inset shown in the bar graph indicates the maximum quantum yield of PSII (Fv/Fm) in dark−adapted leaves. (<b>B</b>) Operational efficiency of photosystem II (ΦPSII). The inset shows the electron transport rate (ETR). (<b>C</b>) Nonphotochemical quenching (NPQ). (<b>D</b>) Photochemical dissipation quenching (qP) and nonphotochemical dissipation quenching (qN). Asterisks over the bars indicate statistically significant differences according to the t-test (<span class="html-italic">p</span> &lt; 0.01). “ns” denotes no statistical significance. Mean ± SE (<span class="html-italic">n</span> = 10).</p>
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<p>Chlorophyll a fluorescence kinetic parameters derived from the JIP test in Hibiscus and Pelargonium plants. (<b>A</b>) Chlorophyll a fluorescence induction kinetics using normalised data. (<b>B</b>) Pipeline leaves display phenomenological energy flow through the excited cross-sections (CSs) of leaves. Yellow arrow—ABS/CS, absorption flow by approximate CS; green arrow—TR/CS, energy flow trapped by CS; red arrow—ET/CS, electron transport flow by CS; blue arrow—DI/CS, energy flow dissipated by CS; circles inscribed in squares—RC/CS indicate the % of active/inactive reaction centres. The white circles inscribed in squares represent reduced (active) QA reaction centres, the black circles represent non-reducing (inactive) QA reaction centres, and 100% of the active reaction centres responded with the highest average numbers observed in relation to Hibiscus. Arrow sizes indicate changes in the energy flow to Hibiscus plants. (<b>C</b>) ΨEO. (<b>D</b>) ΨRO. (<b>E</b>) ΦPO. (<b>F</b>) ΦPO. (<b>G</b>) ΦRO. (<b>H</b>) ΦDO. (<b>I</b>) δRO. (<b>J</b>) ρRO. (<b>K</b>) KN. (<b>L</b>) KP. (<b>M</b>) SFI<sub>ABS</sub>. (<b>N</b>) PI<sub>ABS</sub>. Different asterisks inside the arrows indicate significance, as determined by a <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.01). Mean ± SE (<span class="html-italic">n</span> = 100).</p>
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<p>Representative images of optical microscopy (OM) in top–bottom and anatomical analyses of Hibiscus (first and second columns) and Pelargonium (third and fourth columns) plants. (<b>A</b>–<b>D</b>) Cross-sections. (<b>E</b>–<b>H</b>) Historesin cross-sections under false colour. (<b>I</b>–<b>L</b>) Details of the leaf thickness and cells. (<b>M</b>–<b>P</b>) Structures present in cellular tissues. Green arrows indicate chloroplasts, red arrows indicate diffuse crystals, and yellow arrows indicate dense cytoplasmic content. Accumulative and secretory structures of the adaxial epidermis are highlighted. Scale bars = 200 µm and 50 µm, left to right, respectively.</p>
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<p>Representative scanning electron microscopy (SEM) images of adaxial and abaxial surfaces of Hibiscus and Pelargonium plants. (<b>A</b>,<b>E</b>,<b>I</b>,<b>M</b>) Adaxial surface of the Hibiscus. (<b>B</b>,<b>F</b>,<b>J</b>,<b>N</b>) Abaxial surface of the Hibiscus. (<b>C</b>,<b>G</b>,<b>K</b>,<b>O</b>) Adaxial surface of Pelargonium. (<b>D</b>,<b>H</b>,<b>L</b>,<b>P</b>) Abaxial surface of Pelargonium. Scale bars = 250 μm (<b>A</b>–<b>D</b>), 150 μm (<b>E</b>–<b>H</b>), and 50 μm (<b>I</b>–<b>P</b>), top to bottom, respectively.</p>
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<p>Representative transmission electron microscopy (TEM) images of chloroplasts in Hibiscus and Pelargonium plants. (<b>A</b>,<b>B</b>,<b>E</b>,<b>F</b>,<b>I</b>,<b>J</b>,<b>M</b>,<b>N</b>,<b>Q</b>,<b>R</b>) Hibiscus. (<b>C</b>,<b>D</b>,<b>G</b>,<b>H</b>,<b>K</b>,<b>L</b>,<b>O</b>,<b>P</b>,<b>S</b>,<b>T</b>) Pelargonium plants. Scale bar = 4 μm (<b>A</b>–<b>D</b>), 1 μm (<b>E</b>–<b>P</b>) and 600 nm (<b>Q</b>–<b>T</b>).</p>
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<p>Representative transmission electron microscopy (TEM) images of mesophyll cells in the leaves. (<b>A</b>,<b>B</b>,<b>E</b>,<b>F</b>,<b>I</b>,<b>J</b>) Hibiscus. (<b>C</b>,<b>D</b>,<b>G</b>,<b>H</b>,<b>K</b>,<b>L</b>) Pelargonium plants. Scale bar = 4 μm (<b>A</b>–<b>D</b>), 1 μm (<b>E</b>–<b>P</b>) and 600 nm (<b>Q</b>–<b>T</b>).</p>
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<p>Multivariate analysis of Hibiscus and Pelargonium plants. The 2D PCA biplot of principal component analysis (PCA) displayed two dimensions (Dim1 and Dim2) and the contribution of the 20 most important variables to explain the formed clusters. See the abbreviation in <a href="#sec4-plants-13-02831" class="html-sec">Section 4</a>.</p>
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<p>Comparative scheme of Hibiscus and Pelargonium plants. It highlights the superior photosynthetic efficiency of Hibiscus, emphasising its enhanced cellular structure, including higher chloroplast density, which contributes to improved photosynthesis and energy storage. In contrast, Pelargonium exhibits cellular adjustments, including changes in thylakoid count and a higher proportion of mitochondria, suggesting resource allocation to alternative cellular functions. Detailed insets and labels elucidate the distinct morphological, biochemical, and photosynthetic adaptations between the two species. Thicker lines indicate more efficient electron flow in the electron transport chain. Elements of the figure were created using Biorender.com (accessed on 5 October 2024).</p>
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23 pages, 18099 KiB  
Article
Alleviative Effect of Exogenous Application of Fulvic Acid on Nitrate Stress in Spinach (Spinacia oleracea L.)
by Kangning Han, Jing Zhang, Cheng Wang, Youlin Chang, Zeyu Zhang and Jianming Xie
Agronomy 2024, 14(10), 2280; https://doi.org/10.3390/agronomy14102280 - 3 Oct 2024
Viewed by 852
Abstract
Salt stress could be a significant factor limiting the growth and development of vegetables. In this study, Fulvic Acid (FA) (0.05%, 0.1%, 0.15%, 0.2%, and 0.25%) was applied under nitrate stress (150 mM), with normal Hoagland nutrient solution as a control to investigate [...] Read more.
Salt stress could be a significant factor limiting the growth and development of vegetables. In this study, Fulvic Acid (FA) (0.05%, 0.1%, 0.15%, 0.2%, and 0.25%) was applied under nitrate stress (150 mM), with normal Hoagland nutrient solution as a control to investigate the influence of foliar spray FA on spinach growth, photosynthesis, and oxidative stress under nitrate stress. The results showed that nitrate stress significantly inhibited spinach growth, while ROS (reactive oxygen species) accumulation caused photosystem damage, which reduced photosynthetic capacity. Different concentrations of FA alleviated the damage caused by nitrate stress in spinach to varying degrees in a concentration-dependent manner. The F3 treatment (0.15% FA + 150 mM NO3) exhibited the most significant mitigating effect. FA application promoted the accumulation of biomass in spinach under nitrate stress and increased chlorophyll content, the net photosynthetic rate, the maximum photochemical quantum yield of PSII (Photosystem II) (Fv/Fm), the quantum efficiency of PSII photochemistry [Y(II)], the electron transport rate, and the overall functional activity index of the electron transport chain between the PSII and PSI systems (PItotal); moreover, FA decreased PSII excitation pressure (1 − qP), quantum yields of regulated energy dissipation of PSII [Y(NPQ)], and the relative variable initial slope of fluorescence. FA application increased superoxide dismutase, peroxidase, and catalase activities and decreased malondialdehyde, H2O2, and O2 levels in spinach under nitrate stress. FA can enhance plant resistance to nitrate by accelerating the utilization of light energy in spinach to mitigate excess light energy and ROS-induced photosystem damage and increase photosynthetic efficiency. Full article
(This article belongs to the Special Issue Crop and Vegetable Physiology under Environmental Stresses)
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<p>The effect of FA on the growth of spinach under nitrate stress. Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5).</p>
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<p>The effect of FA on chlorophyll contents of spinach under nitrate stress. Mean values of different letters indicate significant differences through Duncan’s test (<span class="html-italic">p</span> &lt; 0.05). Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5).</p>
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<p>The effect of FA on gas exchange parameters of spinach under nitrate stress. Mean values of different letters indicate significant differences through Duncan’s test (<span class="html-italic">p</span> &lt; 0.05). Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5). (<b>A</b>) Net photosynthetic rate, Pn. (<b>B</b>) Stomatal conductance, Gs. (<b>C</b>) Intercellular CO<sub>2</sub> concentration, Ci. (<b>D</b>) Transpiration rate, Tr. Gray, CK; Blue, N treatment; Green, F1 treatment; Purple, F2 treatment; Red, F3 treatment; Pink, F4 treatment; Yellow, F5 treatment.</p>
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<p>The effect of FA on chlorophyll fluorescence parameters of spinach under nitrate stress. Mean values of different letters indicate significant differences through Duncan’s test (<span class="html-italic">p</span> &lt; 0.05). Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5). (<b>A</b>) The maximum photochemical quantum yield of PSII, Fv/Fm. (<b>B</b>) The efficiency of excitation energy capture by open PSII reaction centers, Fv′/Fm′. (<b>C</b>) Non-photochemical quenching, NPQ. (<b>D</b>) Photochemical quenching coefficient, qP. (<b>E</b>) PSII excitation pressure, 1 − qP. (<b>F</b>) Excess excitation energy, (1 − qP)/NPQ. Gray, CK; Blue, N treatment; Green, F1 treatment; Purple, F2 treatment; Red, F3 treatment; Pink, F4 treatment; Yellow, F5 treatment.</p>
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<p>The effects of FA on PSII energy distribution and the electron transport rate of spinach under nitrate stress. Mean values of different letters indicate significant differences through Duncan’s test (<span class="html-italic">p</span> &lt; 0.05). Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5). (<b>A</b>) The effective quantum yield of PSII, Y(II); the quantum yield of regulatory energy dissipation, Y(NPQ); the quantum yield of non-regulated energy dissipation, Y(NO). (<b>B</b>) The electron transfer rate, ETR, Gray, CK; Blue, N treatment; Green, F1 treatment; Purple, F2 treatment; Red, F3 treatment; Pink, F4 treatment; Yellow, F5 treatment.</p>
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<p>The effects of FA on rETR-PAR response curves and fitting parameters of spinach under nitrate stress. Different lower case letters in the same column indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5). rETR<sub>max</sub>: maximum relative electron transport rate; α: the initial slope of the light curve; and Ik = rETR<sub>max</sub>/α: half-saturation light intensity. Curves were fitted with Origin software (version 2022); the fitted parameters are shown in the embedded table.</p>
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<p>The effect of FA on the performance of rapid induction kinetics of spinach under nitrate stress. Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5).</p>
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<p>The effects of FA on Vt curves and ΔVt curves of spinach under nitrate stress. Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5).</p>
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<p>The effects of FA on V<sub>J</sub> and V<sub>I</sub> of spinach under nitrate stress. Mean values of different letters indicate significant differences through Duncan’s test (<span class="html-italic">p</span> &lt; 0.05). Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5).</p>
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<p>The effects of FA on JIP test parameters, energy distribution per unit cross-sectional area, and energy distribution per RC of PSII in spinach leaves under nitrate stress. Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5). (<b>A</b>) JIP test parameters. (<b>B</b>) Energy distribution per unit cross-sectional area, and energy distribution per RC of PSII.</p>
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<p>The effects of FA on the activity of SOD, POD, and CAT of spinach under nitrate stress. Mean values of different letters indicate significant differences through Duncan’s test (<span class="html-italic">p</span> &lt; 0.05). Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5). (<b>A</b>) superoxide dismutase, SOD; (<b>B</b>) peroxidase, POD; and (<b>C</b>) catalase, CAT. Gray, CK; Blue, N treatment; Green, F1 treatment; Purple, F2 treatment; Red, F3 treatment; Pink, F4 treatment; Yellow, F5 treatment.</p>
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<p>Correlation analysis of spinach in response to nitrate stress. * Significant at the 5% level.</p>
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<p>Principal component analysis of spinach in response to nitrate stress. Control (CK), 150 mM NO<sub>3</sub><sup>−</sup> (N), 0.05% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F1), 0.1% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F2), 0.15% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F3), 0.2% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F4), and 0.25% FA + 150 mM NO<sub>3</sub><sup>−</sup> (F5).</p>
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22 pages, 5975 KiB  
Article
Enhanced Solubility and Miscibility of CO2-Oil Mixture in the Presence of Propane under Reservoir Conditions to Improve Recovery Efficiency
by Xuejia Du, Xiaoli Li and Ganesh C. Thakur
Energies 2024, 17(19), 4790; https://doi.org/10.3390/en17194790 - 25 Sep 2024
Viewed by 804
Abstract
The existence of propane (C3H8) in a CO2-oil mixture has great potential for increasing CO2 solubility and decreasing minimum miscibility pressure (MMP). In this study, the enhanced solubility, reduced viscosity, and lowered MMP of CO2 [...] Read more.
The existence of propane (C3H8) in a CO2-oil mixture has great potential for increasing CO2 solubility and decreasing minimum miscibility pressure (MMP). In this study, the enhanced solubility, reduced viscosity, and lowered MMP of CO2-saturated crude oil in the presence of various amounts of C3H8 have been systematically examined at the reservoir conditions. Experimentally, a piston-equipped pressure/volume/temperature (PVT) cell is first validated by accurately reproducing the bubble-point pressures of the pure component of C3H8 at temperatures of 30, 40, and 50 °C with both continuous and stepwise depressurization methods. The validated cell is well utilized to measure the saturation pressures of the CO2-C3H8-oil systems by identifying the turning point on a P-V diagram at a given temperature. Accordingly, the gas solubilities of a CO2, C3H8, and CO2-C3H8 mixture in crude oil at pressures up to 1600 psi and a temperature range of 25–50 °C are measured. In addition, the viscosity of gas-saturated crude oil in a single liquid phase is measured using an in-line viscometer, where the pressure is maintained to be higher than its saturation pressure. Theoretically, a modified Peng–Robinson equation of state (PR EOS) is utilized as the primary thermodynamic model in this work. The crude oil is characterized as both a single and multiple pseudo-component(s). An exponential distribution function, together with a logarithm-type lumping method, is applied to characterize the crude oil. Two linear binary interaction parameters (BIP) correlations have been developed for CO2-oil binaries and C3H8-oil binaries to accurately reproduce the measured saturation pressures. Moreover, the MMPs of the CO2-oil mixture in the presence and absence of C3H8 have been determined with the assistance of the tie-line method. It has been found that the developed mathematical model can accurately calculate the saturation pressures of C3H8 and/or CO2-oil systems with an absolute average relative deviation (AARD) of 2.39% for 12 feed experiments. Compared to CO2, it is demonstrated that C3H8 is more soluble in the crude oil at the given pressure and temperature. The viscosity of gas-saturated crude oil can decrease from 9.50 cP to 1.89 cP and the averaged MMP from 1490 psi to 1160 psi at 50 °C with the addition of an average 16.02 mol% C3H8 in the CO2-oil mixture. Full article
(This article belongs to the Section H: Geo-Energy)
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<p>Density and viscosity of Trembley oil at various temperatures.</p>
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<p>Schematic diagram of experimental setup for measuring bubble point pressures for C<sub>3</sub>H<sub>8</sub>-CO<sub>2</sub>-Oil systems.</p>
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<p>Overall AARD versus the number of PCs for C<sub>3</sub>H<sub>8</sub>-oil, CO<sub>2</sub>-oil, and C<sub>3</sub>H<sub>8</sub>-CO<sub>2</sub>-oil systems by using the optimized (<a href="#energies-17-04790-t005" class="html-table">Table 5</a>) and developed (Equations (22) and (23)) BIPs.</p>
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<p>Measure pressure–volume diagram of Feed #4 (72.21 mol% C<sub>3</sub>H<sub>8</sub> and 27.79 mol% oil) at 50 °C.</p>
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<p>Measure pressure–volume diagram of Feeds #1–4.</p>
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<p>Measure pressure–volume diagram of Feeds #5–8.</p>
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<p>Measure pressure–volume diagram of Feeds #9–12.</p>
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<p>Saturation pressures of C<sub>3</sub>H<sub>8</sub>-oil systems: Feed #1 (34.62 mol% C<sub>3</sub>H<sub>8</sub>), Feed #2 (46.55 mol% C<sub>3</sub>H<sub>8</sub>), Feed #3 (60.08 mol% C<sub>3</sub>H<sub>8</sub>), and Feed #4 (72.21 mol% C<sub>3</sub>H<sub>8</sub>).</p>
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<p>Saturation pressures of CO<sub>2</sub>-oil systems: Feed #5 (29.29 mol% CO<sub>2</sub>), Feed #6 (47.35 mol% CO<sub>2</sub>), Feed #7 (60.39 mol% CO<sub>2</sub>), and Feed #8 (73.74 mol% CO<sub>2</sub>).</p>
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<p>Saturation pressures of C<sub>3</sub>H<sub>8</sub>-CO<sub>2</sub>-oil systems: Feed #9 (13.03 mol% C<sub>3</sub>H<sub>8</sub> and 46.04 mol% CO<sub>2</sub>), Feed #10 (20.54 mol% C<sub>3</sub>H<sub>8</sub> and 41.18 mol% CO<sub>2</sub>), Feed #11 (14.34 mol% C<sub>3</sub>H<sub>8</sub> and 51.05 mol% CO<sub>2</sub>), and Feed #12 (16.16 mol% C<sub>3</sub>H<sub>8</sub> and 57.57 mol% CO<sub>2</sub>).</p>
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<p>Solubility of C<sub>3</sub>H<sub>8</sub>, CO<sub>2</sub>, and C<sub>3</sub>H<sub>8</sub>-CO<sub>2</sub> mixture as a function of saturation pressure at 25 °C (the dash lines represent the regressions of the data points).</p>
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<p>Average MMPs of C<sub>3</sub>H<sub>8</sub>-Oil (Feed #1–4), CO<sub>2</sub>-Oil (Feeds #5–8), and C<sub>3</sub>H<sub>8</sub>-CO<sub>2</sub>-Oil mixture (Feeds #9–12).</p>
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16 pages, 2611 KiB  
Article
An Improved Artificial Electric Field Algorithm for Determining the Maximum Length of Gravel Packing in Deep-Water Horizontal Well
by Lei Yang, Hong Lin, Shengtian Zhou and Ziyue Feng
J. Mar. Sci. Eng. 2024, 12(9), 1507; https://doi.org/10.3390/jmse12091507 - 1 Sep 2024
Viewed by 782
Abstract
Gravel packing in deep-water horizontal wells is an effective and practical sand control method, which is a key technical method to ensure efficient exploitation of deep-water oil and gas. To ensure the successful implementation of gravel packing in deep water horizontal wells, it [...] Read more.
Gravel packing in deep-water horizontal wells is an effective and practical sand control method, which is a key technical method to ensure efficient exploitation of deep-water oil and gas. To ensure the successful implementation of gravel packing in deep water horizontal wells, it is crucial to carry out effective optimization design of packing parameters. This paper proposes a novel optimization design approach for gravel packing in deep-water horizontal wells. In the proposed approach, an optimization model is proposed for gravel packing in deep-water horizontal wells, in which the gravel packing length is regarded as the objective function. Then, an improved artificial electric field algorithm (IAEFA) is introduced for optimizing the key gravel packing parameters so as to determine the maximum gravel packing length. For a specific case study, we conducted optimization calculations for gravel packing in a deep-water horizontal well. Results of the case study demonstrate that the optimization design approach based on the IAEFA algorithm can effectively address the parameter optimization problem of deep-water horizontal well gravel packing. For the target well of the case study, the maximum packing length obtained by the IAEFA algorithm could reach 1000.22 m, and the corresponding 3 sets of optimal packing parameters were also obtained. In the scenario of optimal packing parameters, the total time of gravel packing in target well is 566.6 min, and the total amount of sand consumption is 54,050.94 lbs. The bottom hole pressure during the injection stage remains stable with about 9780 psi, then slowly rises from 9788 psi to 9837 psi in the α-wave packing stage, and rapidly increases from 9837 psi to 9986 psi in the β-wave packing stage. The proposed approach provides an efficient and practical optimization tool for the optimal design of gravel packing in deep water horizontal wells. Full article
(This article belongs to the Special Issue Exploration and Development of Marine Energy)
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<p>Schematic diagram of horizontal well gravel packing. (<b>a</b>) Flow process of gravel packing, (<b>b</b>) cross-section view.</p>
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<p>Schematic diagram of horizontal well gravel packing.</p>
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<p>The curves of the objective function values varying with iterations of IAEFA. (<b>a</b>) Case 1, (<b>b</b>) Case 2, (<b>c</b>) Case 3, (<b>d</b>) Case 4, (<b>e</b>) Case 5, (<b>f</b>) Case 6, (<b>g</b>) Case 7, (<b>h</b>) Case 8, (<b>i</b>) Case 9.</p>
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<p>The curves of the objective function values varying with iterations of IAEFA. (<b>a</b>) Case 1, (<b>b</b>) Case 2, (<b>c</b>) Case 3, (<b>d</b>) Case 4, (<b>e</b>) Case 5, (<b>f</b>) Case 6, (<b>g</b>) Case 7, (<b>h</b>) Case 8, (<b>i</b>) Case 9.</p>
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<p>The maximum packing length under nine groups of different parameter combinations.</p>
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<p>The curve of bottom hole pressure varying with packing time.</p>
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<p>Frictional resistance variation curves of various parts during gravel packing process.</p>
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