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14 pages, 1224 KiB  
Article
Associations Between Urinary Phthalate Metabolites and Decreased Serum α-Klotho Level: A Cross-Sectional Study Among US Adults in Middle and Old Age
by Yuyan Liu, Xiaoyu Zhao, Shuxian Ma and Yongfang Li
Toxics 2024, 12(11), 817; https://doi.org/10.3390/toxics12110817 - 14 Nov 2024
Viewed by 457
Abstract
Phthalates are widely used chemicals with ubiquitous human exposure. Evidence indicated that phthalate exposure was associated with an increased risk of aging-related diseases. Klotho is a transmembrane protein with anti-aging functions, and its association with phthalates remains unknown. To find the association between [...] Read more.
Phthalates are widely used chemicals with ubiquitous human exposure. Evidence indicated that phthalate exposure was associated with an increased risk of aging-related diseases. Klotho is a transmembrane protein with anti-aging functions, and its association with phthalates remains unknown. To find the association between phthalate exposure and serum α-Klotho, a cross-sectional study was performed in 4482 adults (40–79 years old) who completed the National Health and Nutrition Examination Survey (NHANES) (2007–2016). As shown in the results of multivariable linear regression analyses, mono(carboxynonyl) phthalate (MCNP) and mono-n-butyl phthalate (MBP) were inversely associated with α-Klotho, and the regression coefficients of MCNP and MBP were −1.14 (95% confidence interval (CI): −2.00, −0.27) and −0.08 (95% CI: −0.14, −0.02). Subgroup analyses based on the quartiles of each phthalate metabolite showed that both MCNP and MBP were only inversely associated with α-Klotho in the subgroups of the highest levels. For mono-isobutyl phthalate (MIBP), the inverse association with α-Klotho was only statistically significant in the subgroup of the lowest level, and the regression coefficient was −26.87 (95% CI: −52.53, −1.21). Our findings suggest that α-Klotho might be involved in the association of phthalate exposure with aging-related diseases. Future research investigating the causality between phthalates and α-Klotho and its underlying mechanisms is encouraged. Full article
(This article belongs to the Section Human Toxicology and Epidemiology)
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Graphical abstract
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<p>Flowchart of this cross-sectional study.</p>
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<p>Stratified analyses of the interactive effects of confounders on associations of MCNP, MBP and MIBP with α-Klotho. The stratified analyses were performed in subgroups of the highest levels (Q4) of MCNP and MBP, as well as the lowest levels (Q1) of MIBP. Regression models are adjusted for urinary creatinine, sex, age, race, education levels, BMI, hypertension, T2DM, smoking and alcohol drinking. Values in bold are statistically significant. Abbreviations: MCNP: mono(carboxynonyl) phthalate; MBP: mono-n-butyl phthalate; MIBP: mono-isobutyl phthalate; 95% CI: 95% confidence interval.</p>
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26 pages, 4934 KiB  
Article
Capacity and Coverage Dimensioning for 5G Standalone Mixed-Cell Architecture: An Impact of Using Existing 4G Infrastructure
by Naba Raj Khatiwoda, Babu Ram Dawadi and Sashidhar Ram Joshi
Future Internet 2024, 16(11), 423; https://doi.org/10.3390/fi16110423 - 14 Nov 2024
Viewed by 308
Abstract
With the increasing demand for expected data volume daily, current telecommunications infrastructure can not meet requirements without using enhanced technologies adopted by 5G and beyond networks. Due to their diverse features, 5G technologies and services will be phenomenal in the coming days. Proper [...] Read more.
With the increasing demand for expected data volume daily, current telecommunications infrastructure can not meet requirements without using enhanced technologies adopted by 5G and beyond networks. Due to their diverse features, 5G technologies and services will be phenomenal in the coming days. Proper planning procedures are to be adopted to provide cost-effective and quality telecommunication services. In this paper, we planned 5G network deployment in two frequency ranges, 3.5 GHz and 28 GHz, using a mixed cell structure. We used metaheuristic approaches such as Grey Wolf Optimization (GWO), Sparrow Search Algorithm (SSA), Whale Optimization Algorithm (WOA), Marine Predator Algorithm (MPA), Particle Swarm Optimization (PSO), and Ant Lion Optimization (ALO) for optimizing the locations of remote radio units. The comparative analysis of metaheuristic algorithms shows that the proposed network is efficient in providing an average data rate of 50 Mbps, can meet the coverage requirements of at least 98%, and meets quality-of-service requirements. We carried out the case study for an urban area and another suburban area of Kathmandu Valley, Nepal. We analyzed the outcomes of 5G greenfield deployment and 5G deployment using existing 4G infrastructure. Deploying 5G networks using existing 4G infrastructure, resources can be saved up to 33.7% and 54.2% in urban and suburban areas, respectively. Full article
(This article belongs to the Topic Advances in Wireless and Mobile Networking)
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<p>5G- mixed cell structure.</p>
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<p>Proposed 5G network optimization framework.</p>
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<p>Case I: Urban 5G greenfield.</p>
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<p>Case II: Urban 5G with existing 4G.</p>
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<p>Case I: Suburban 5G greenfield.</p>
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<p>Case II: Suburban 5G with existing 4G.</p>
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<p>Convergence urban 5G.</p>
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<p>Execution time.</p>
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<p>Coverage urban 5G.</p>
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<p>Best optimized Urban 5G.</p>
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<p>Convergence.</p>
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<p>Execution time.</p>
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<p>MPA.</p>
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<p>ALO.</p>
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<p>Coverage percentage.</p>
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<p>Best optimized location urban 5G.</p>
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<p>Coverage urban macro-RRUs.</p>
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<p>Coverage cell macro-RRUs.</p>
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<p>Mixed cell 5G greenfield.</p>
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<p>Mixed cell in the field.</p>
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<p>Mixed cell with existing 4G sites.</p>
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<p>Mixed cell in the field.</p>
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<p>Convergence suburban.</p>
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<p>Suburban Coverage.</p>
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<p>Final optimized deployment.</p>
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<p>Best-optimized RRUs in the field.</p>
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<p>Convergence suburban.</p>
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<p>Suburban Coverage.</p>
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<p>Final optimized deployment.</p>
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<p>Field implementation.</p>
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15 pages, 1588 KiB  
Article
Metallomic Approach to Mercury and Selenium in the Liver Tissue of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon
by Izabela Bataglioli, José Vieira, Joyce da Siva, Luane Andrade, Victor Faria, Rebeca Corcoba, Ronaldo de Almeida, Luiz Zara, Marília Buzalaf, Jiri Adamec and Pedro Padilha
Int. J. Mol. Sci. 2024, 25(22), 11946; https://doi.org/10.3390/ijms252211946 - 7 Nov 2024
Viewed by 280
Abstract
This paper reports the results of a mercury (Hg) and selenium (Se) metallomic study in the liver tissues of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon. Two-dimensional electrophoresis, graphite furnace atomic absorption spectrometry, and liquid chromatography-tandem mass spectrometry were performed. Hg [...] Read more.
This paper reports the results of a mercury (Hg) and selenium (Se) metallomic study in the liver tissues of Psectrogaster amazonica and Raphiodon vulpinus from the Brazilian Amazon. Two-dimensional electrophoresis, graphite furnace atomic absorption spectrometry, and liquid chromatography-tandem mass spectrometry were performed. Hg and Se determinations allowed the calculation of Hg:Se and Se:Hg molar ratio and Se values for health benefits (Se HBVs). The Se:Hg values were >1 for both fish species, whereas the Se HBVs were >5 for P. amazonica and >10 for R. vulpinus, indicating that both possess Se reserves to control Hg toxicity. The metallomic data allowed the identification of 11 Hg/Se-associated protein spots in the two fish species, with concentrations in the range of 9.70 ± 0.14 and 28.44 ± 0.31 mg kg−1 of Hg and 16.15 ± 0.21 and 43.12 ± 0.51 mg kg−1 of Se. Five metal binding proteins (MBP) in the Hg/Se-associated protein spots in the liver proteome of P. amazonica and eight in R. vulpinus were identified, indicating the possible formation of Hg/Se complexes on the MBP structures. The activities analysis of catalase, superoxide dismutase, GPx enzymes, and lipoperoxide concentrations demonstrated that Hg-induced oxidative stress did not occur, possibly because both fish species possess Se reserves necessary to inhibit the Hg’s deleterious effects. Full article
(This article belongs to the Special Issue Toxicity of Heavy Metal Compounds)
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<p>2D PAGE gel of the Pa-HgSe 2 and Rv-HgSe 2 groups obtained from the liver proteome fractionation of <span class="html-italic">P. amazonica</span> (<b>A</b>) and <span class="html-italic">R. vulpinus</span> (<b>B</b>). The spots highlighted with a circle and in three dimensions, the GFAAS determinations indicated the presence of Hg and/or Se.</p>
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<p>Activities of SOD, CAT, and GPx enzymes, and LPO concentration determined in liver tissue of individuals of the <span class="html-italic">P. amazonica</span> and <span class="html-italic">R. vulpinus</span>.</p>
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16 pages, 6070 KiB  
Article
Implementation of a Reduced Decoding Algorithm Complexity for Quasi-Cyclic Split-Row Threshold Low-Density Parity-Check Decoders
by Bilal Mejmaa, Chakir Aqil, Ismail Akharraz and Abdelaziz Ahaitouf
Information 2024, 15(11), 684; https://doi.org/10.3390/info15110684 - 1 Nov 2024
Viewed by 375
Abstract
We propose two decoding algorithms for quasi-cyclic LDPC codes (QC-LDPC) and implement the more efficient one in this paper. These algorithms depend on the split row for the layered decoding method applied to the Min-Sum (MS) algorithm. We designate the first algorithm “Split-Row [...] Read more.
We propose two decoding algorithms for quasi-cyclic LDPC codes (QC-LDPC) and implement the more efficient one in this paper. These algorithms depend on the split row for the layered decoding method applied to the Min-Sum (MS) algorithm. We designate the first algorithm “Split-Row Layered Min-Sum” (SRLMS), and the second algorithm “Split-Row Threshold Layered Min-Sum” (SRTLMS). A threshold message passes from one partition to another in SRTLMS, minimizing the gap from the MS and achieving a binary error rate of 3 × 10−5 with Imax = 4 as the maximum number of iterations, resulting in a decrease of 0.25 dB. The simulation’s findings indicate that the SRTLMS is the most efficient variant decoding algorithm for LDPC codes, thanks to its compromise between performance and complexity. This paper presents the two invented algorithms and a comprehensive study of the co-design and implementation of the SRTLMS algorithm. We executed the implementation on a Xilinx Kintex-7 XC7K160 FPGA, achieving a maximum operating frequency of 101 MHz and a throughput of 606 Mbps. Full article
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Figure 1
<p>The 802.16e standard’s LDPC parity-check matrix of rate ½.</p>
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<p>Block diagram for traditional two-phase decoding (<b>a</b>), and (<b>b</b>) split-row decoding; diagram of split-row threshold in (<b>c</b>).</p>
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<p>Parity-check matrix with layered scheduling.</p>
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<p>Message-passing flow in horizontal LD.</p>
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<p>Split-row decoding in a block diagram using two partitions, highlighting sign-passing signals in the layer.</p>
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<p>Split-row threshold decoding system block diagram with two partitions that emphasize crossing signals for signs and threshold.</p>
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<p>Comparison of simulation and co-design outputs.</p>
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<p>Comparison of the total number of consumed LUTs.</p>
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<p>Comparison of the operating periods.</p>
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<p>Performance of the BER at the threshold for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi mathvariant="normal">b</mi> </mrow> </msub> <mo>/</mo> <msub> <mrow> <mi mathvariant="normal">N</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> values of 3 dB, 3.5 dB, 3.7 dB, 4 dB, and 4.2 dB presented by the colors pink, red, blue, black, and light blue, respectively.</p>
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<p>BER performance utilizing MS as a function of the scale factor for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi mathvariant="normal">b</mi> </mrow> </msub> <mo>/</mo> <msub> <mrow> <mi mathvariant="normal">N</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> values of 3.4 dB, 3.5 dB, 3.7 dB, 3.8 dB, and 4.2 dB presented by the colors black (star markers), black (square markers), red, pink, and blue, respectively.</p>
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<p>BER performance utilizing SRLMS as a function of the scale factor for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi mathvariant="normal">b</mi> </mrow> </msub> <mo>/</mo> <msub> <mrow> <mi mathvariant="normal">N</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> values of 3.5 dB, 3.8 dB, 4 dB, and 4.5 dB presented by the colors blue, pink, black, and red, respectively.</p>
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<p>BER performance using SRTLMS as a function of the scale factor for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi mathvariant="normal">b</mi> </mrow> </msub> <mo>/</mo> <msub> <mrow> <mi mathvariant="normal">N</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math> values of 3 dB, 3.2 dB, 3.5 dB, and 3.7 dB presented by the colors light blue, black, red, and blue, respectively.</p>
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<p>Comparison of the BER performance of several decoding algorithms.</p>
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<p>Comparison of the BLER performance of several decoding algorithms.</p>
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<p>Total power consumption based on Flow_AreaOptimized_high strategy.</p>
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24 pages, 9065 KiB  
Article
Sonic Hedgehog Is an Early Oligodendrocyte Marker During Remyelination
by Mariagiovanna Russo, Amina Zahaf, Abdelmoumen Kassoussi, Ariane Sharif, Hélène Faure, Elisabeth Traiffort and Martial Ruat
Cells 2024, 13(21), 1808; https://doi.org/10.3390/cells13211808 - 1 Nov 2024
Viewed by 548
Abstract
Failure of myelin regeneration by oligodendrocytes contributes to progressive decline in many neurological diseases. Here, using in vitro and in vivo rodent models, functional blockade, and mouse brain demyelination, we demonstrate that Sonic hedgehog (Shh) expression in a subset of oligodendrocyte progenitor cells [...] Read more.
Failure of myelin regeneration by oligodendrocytes contributes to progressive decline in many neurological diseases. Here, using in vitro and in vivo rodent models, functional blockade, and mouse brain demyelination, we demonstrate that Sonic hedgehog (Shh) expression in a subset of oligodendrocyte progenitor cells precedes the expression of myelin basic protein (MBP), a major myelin sheath protein. Primary cultures of rodent cortical oligodendrocytes show that Shh mRNA and protein are upregulated during oligodendrocyte maturation before the upregulation of MBP expression. Importantly, almost all MBP-positive cells are Shh positive during differentiation. During remyelination, we identify a rapid induction of Shh mRNA and peptide in oligodendroglial cells present in the demyelinated corpus callosum of mice, including a population of PDGFRα-expressing cells. Shh invalidation by an adeno-associated virus strategy demonstrates that the downregulation of Shh impairs the differentiation of oligodendrocytes in vitro and decreases MBP and myelin proteolipid protein expression in the demyelinated mouse brain at late stages of remyelination. We also report a parallel expression of Shh and MBP in oligodendroglial cells during early post-natal myelination of the mouse brain. Thus, we identify a crucial Shh signal involved in oligodendroglial cell differentiation and remyelination, with potential interest in the design of better-targeted remyelinating therapeutic strategies. Full article
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Graphical abstract

Graphical abstract
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<p>Sonic hedgehog (<span class="html-italic">Shh</span>) is expressed before myelin basic protein (<span class="html-italic">MBP</span>) in rodent differentiating oligodendrocytes in vitro. (<b>A</b>) RT-qPCR analysis of <span class="html-italic">Shh</span> and <span class="html-italic">MBP</span> in primary rat oligodendrocyte precursor cells (OPCs) maintained in proliferation medium and oligodendrocytes (OLs) maintained in differentiation medium for 2, 6, 24, 72, and 144 h (h) (<span class="html-italic">n</span> = 4, mean ± SEM; one experiment out of four is shown). Shh mRNA increases rapidly and strongly in the first hours of OL differentiation while MBP mRNA appears after 24 h. (<b>B</b>) Western blots from rat OL cultures (12 µg) maintained in the differentiation medium for 1, 3, or 6 days (D1, D3, D6) compared to a rat brain control sample loaded at a quite low amount (6 µg) to obtain an unsaturated Shh signal compared to the signal derived from the oligodendroglial culture sample. Shh was detected as a 22 kDa band, while the MBP signal was used as a marker of differentiation. Actin was used as a loading control. (<b>C</b>) Quantitative densitometry analysis of Western blots. Protein expression was normalized to actin and the D3 level was arbitrarily set at 1 in each experiment (<span class="html-italic">n</span> = 4 different cultures). (<b>D</b>) RNAscope multiplex in situ hybridization for <span class="html-italic">Shh</span> (red), SRY-box transcription factor 10 (<span class="html-italic">Sox</span>10, green), and oligodendrocyte transcription factor 2 (<span class="html-italic">Olig</span>2, white) transcripts in a mouse oligodendrocyte primary culture at D6 of differentiation showing the presence of <span class="html-italic">Shh</span> mRNA in cells of the oligodendroglial lineage expressing both <span class="html-italic">Sox</span>10 and <span class="html-italic">Olig</span>2 transcripts (white arrows). The white box highlights a triple-positive cell represented in merged and single channels together with the nuclear marker DAPI. White arrowheads indicate the distribution of <span class="html-italic">Shh</span>, <span class="html-italic">Olig</span>2, and <span class="html-italic">Sox</span>10 mRNAs in the cell body and along the projections. Scale bar, 20 µm.</p>
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<p>Dynamics of Sonic hedgehog (Shh) and myelin basic protein (MBP) distribution in vitro. (<b>A</b>–<b>C</b>) Immunofluorescence staining and (<b>D</b>–<b>F</b>) quantification of mouse primary oligodendrocytes (OLs) maintained in differentiation medium for one day (D1, <b>A</b>), three days (D3, <b>B</b>), or six days (D6, <b>C</b>). Cells were stained for Shh (red), MBP (green), and oligodendrocyte transcription factor 2 (Olig2, magenta) to identify OLs at different stages of maturation. The nuclear marker is DAPI. Shh was identified in Olig2<sup>+</sup> cells (<b>A</b>–<b>D</b>). MBP<sup>+</sup> cells were almost always also Shh<sup>+</sup> (<b>A</b>–<b>C</b>,<b>F</b>). The number of Shh<sup>+</sup> and MBP<sup>+</sup> cells increased during differentiation (D-F). Shh was detected in the cell body and processes at D1 and predominantly in the processes at D3 and D6 (<b>A</b>–<b>F</b>). Interestingly, a comparison of Shh and MBP distribution suggests that Shh expression precedes MBP during differentiation. Scale bars (µm): (<b>A</b>,<b>B</b>), 50; A, magnifications, 25; (<b>C</b>), 100. (<b>D</b>–<b>F</b>): Values are the means ± SEM from counting from 3–5 independent cultures. (<b>D</b>,<b>E</b>): Kruskal–Wallis one-way ANOVA followed by Dunn’s post test; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; ns, non-significant.</p>
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<p>Loss of Sonic hedgehog (Shh) function impairs oligodendrocyte differentiation in vitro. (<b>A</b>–<b>L</b>) Mouse primary oligodendrocytes (OLs) maintained in the differentiation medium were infected with non-targeting shRNA-Ctrl (AAV5-EGFP-shRNA-Ctrl) or shRNA-Shh (AAV5-EGFP-shRNA-Shh) at the time of differentiation and analyzed three (D3) (<b>A</b>–<b>F</b>) or six (D6) days after (<b>G</b>–<b>L</b>). Cells were visualized at D3 (<b>A</b>,<b>B</b>) or D6 (<b>G</b>,<b>H</b>) with antibodies directed against the oligodendrocyte transcription factor 2 (Olig2, magenta) and the green fluorescent protein (GFP, green) together with antibodies directed against Shh (<b>A</b>,<b>B</b>, red) or myelin basic protein (MBP) (<b>G</b>,<b>H</b>, red). White arrowheads indicate GFP<sup>+</sup>Olig2<sup>+</sup> cells. The differentiation state of the cells was evaluated based on their morphologies as defined by the presence of simple extensions, complex branching, or myelin membrane expansions as indicated (<b>B</b>,<b>H</b>). Quantification of the total signal intensity for Shh (<b>C</b>,<b>D</b>) or MBP (<b>I</b>,<b>J</b>) is expressed as a function of the area being analyzed in µm<sup>2</sup> (<b>C</b>,<b>I</b>) or the total number of Olig2<sup>+</sup> cells (<b>D</b>,<b>J</b>) and as a % of ShRNA-Ctrl. Both Shh and MBP intensity is diminished upon shRNA-Shh treatment compared to shRNA-Ctrl (<b>C</b>,<b>D</b>,<b>I</b>,<b>J</b>). The percentage of Shh<sup>+</sup> (<b>E</b>) or MBP<sup>+</sup> (<b>K</b>) cell number among the Olig2<sup>+</sup>GFP<sup>+</sup>-infected cells is also decreased by shRNA-Shh treatment. Quantification of the morphology of Shh<sup>+</sup>-infected (GFP<sup>+</sup>) cells at D3 (<b>F</b>) indicates that shRNA-Shh treatment led to a higher percentage of cells with simple morphology and a lower one with complex branching. Quantification of the morphology of MBP<sup>+</sup>-infected (GFP<sup>+</sup>) cells at D6 (<b>L</b>) indicates that shRNA-Shh treatment did not modify the percentage of cells with simple, complex, or membrane morphology. Scale bars (µm): (<b>A</b>,<b>G</b>,<b>H</b>), 50; (<b>B</b>), 25. (<b>C</b>–<b>E</b>,<b>I</b>–<b>K</b>) <span class="html-italic">n</span> = 3 independent experiments. <span class="html-italic">p</span>, two-way ANOVA (<b>C</b>–<b>E</b>,<b>I</b>–<b>K</b>) and Student’s <span class="html-italic">t</span>-test (<b>F</b>,<b>L</b>).</p>
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<p>Multiplex in situ hybridization of Sonic hedgehog (<span class="html-italic">Shh</span>) with the oligodendroglial oligodendrocyte transcription factor 2 (Olig2), platelet-derived growth factor receptor α (<span class="html-italic">Pdgfrα</span>), SRY-box transcription factor 10 (<span class="html-italic">Sox</span>10), and astroglial astrocyte-specific glutamate transporter (<span class="html-italic">Glast</span>) markers in the lesioned mouse corpus callosum (cc) upon demyelination. (<b>A</b>–<b>E</b>) RNAscope in situ hybridization in coronal brain sections of the demyelinated cc from adult mice that received a stereotaxic injection of lysophosphatidylcholine and were analyzed at 4 days post-lesion. Schemes show the injection site (red arrow), the lesion area (delineated in red), and the part of the cc represented in each main picture (black box). (<b>A</b>) Representation of <span class="html-italic">Shh</span> (white) transcript distribution. The lesion area is delineated in white. (<b>B</b>,<b>C</b>) Magnifications of A showing <span class="html-italic">Shh</span> expression in oligodendroglial cells positive for <span class="html-italic">Sox</span>10 (green) and <span class="html-italic">Olig</span>2 (red) outside (<b>B</b>) and inside (<b>C</b>) the lesion. Dashed boxes highlight triple-positive cells (white arrowheads). (<b>D</b>) Magnification of the lesioned cc showing <span class="html-italic">Shh</span> (white) expression in some cells positive for <span class="html-italic">Pdgfrα</span> (red) transcripts. The dashed box magnified on the right of the main panel highlights a double-positive cell (white arrowhead). The dashed box magnified below the main panel shows an <span class="html-italic">Shh</span><sup>+</sup> <span class="html-italic">Pdgfrα</span><sup>-</sup> cell (white arrowhead). (<b>E</b>) Magnification of the lesioned cc showing that <span class="html-italic">Glast</span> (green)-positive astrocytes (white arrow) are devoid of <span class="html-italic">Shh</span> transcripts (white; white arrowhead). Dashed boxes are magnified on the right and are represented in a single channel together with a DAPI nuclear marker and merge. Scale bars (µm): (<b>A</b>), 50; (<b>B</b>–<b>E</b>) and magnifications, 10.</p>
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<p>Sonic hedgehog (Shh) expression is observed in OLs upon demyelination. (<b>A</b>–<b>E</b>) Distribution (<b>A</b>–<b>C</b>) and quantification (<b>D</b>,<b>E</b>) of Shh (green) inside the lesioned corpus callosum (cc) induced by lysophosphatidylcholine injection at 2 (<b>A</b>), 4 (<b>B</b>), and 10 (<b>C</b>) days post-lesion (dpl). Dashed boxes magnified below highlight cells outside (<b>A</b>) and inside (<b>B</b>,<b>C</b>) the lesions that are double positive for Shh (green) and the oligodendroglial marker oligodendrocyte transcription factor 2 (Olig2, white; white arrows). (<b>F</b>–<b>K</b>) Characterization (<b>F</b>–<b>I</b>) and quantification (<b>J</b>,<b>K</b>) of Shh-expressing cell phenotype in the lesioned cc at 2 (<b>F</b>,<b>G</b>) and 4 (<b>H</b>,<b>I</b>) dpl. Schemes show the injection site (red arrow), the lesion area (delineated in red), and part of the cc represented in each main picture (black box). (<b>F</b>–<b>I<sup>2</sup></b>) Distribution of Shh (green) and the oligodendroglial marker platelet-derived growth factor receptor α PDGFRα (red) in the cc contralateral (<b>F</b>,<b>H</b>–<b>H<sup>2</sup></b>) and ipsilateral (<b>G</b>,<b>I</b>–<b>I<sup>2</sup></b>) to the lesion. Dashed boxes are magnified below the main panels and highlight the presence of Shh<sup>+</sup>PDGFRα<sup>+</sup> cells (white arrows) and Shh<sup>+</sup>PDGFRα- cells (white arrowheads) distributed inside or outside the lesion. (<b>L</b>) Magnification of a lesioned cc at 4 dpl showing the immunostainings for Shh (green), Ki67 proliferation marker (red), and Olig2 (white) represented in a single channel together with a DAPI nuclear marker and merge. White arrows indicate Shh+Olig2+ cells negative for Ki67. White arrowheads indicate Ki67+Olig2+ cells negative for Shh. (<b>M</b>,<b>N</b>) Magnification of the lesioned cc at 4 dpl showing the immunostainings for Shh (green) with the CC1 marker for differentiated oligodendrocytes (red) (<b>M</b>) or the marker for the major histocompatibility complex (MHC) class II (MHCII, red), labeling immunocompetent cells (<b>N</b>) represented in a single channel together with a DAPI nuclear marker and merge. (<b>O</b>) Quantification of CC1<sup>+</sup> cells in Shh<sup>+</sup> cells in the lesioned cc at 2 and 4 dpl. The white arrow indicates a cell expressing both Shh and CC1 (<b>M</b>) and white arrowheads indicate Shh-positive cells that are negative for CC1 (<b>M</b>) and MHCII (<b>N</b>) markers. The lesion area is delineated in white. Mean ± SEM, <span class="html-italic">n</span> = 3 animals, except for O, <span class="html-italic">n</span> = 2 animals for 4 dpl. Scale bars (µm): (<b>A</b>–<b>C</b>,<b>G</b>–<b>H</b>) = 100; (<b>F</b>,<b>I</b>,<b>L</b>) = 20; magnifications, 10.</p>
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<p>shRNA-Ctrl infects oligodendrocyte transcription factor 2 (Olig2)<sup>+</sup> and Sonic hedgehog (Shh)<sup>+</sup> cells in the lesioned mouse corpus callosum (cc). (<b>A</b>–<b>D</b>) Characterization of the phenotype of shRNA-Ctrl (AAV5-EGFP-shRNA-Ctrl)-infected cells by the immunostaining of green fluorescent protein (GFP) together with Shh (<b>A</b>), the oligodendroglial marker Olig2 (<b>B</b>), the astroglial marker glial fibrillary acidic protein (GFAP) (<b>C</b>), or the microglial marker ionized calcium-binding adapter molecule 1 (Iba1) (<b>D</b>) in the lesioned cc at 4 days post-lysophosphatidylcholine injection together with shRNA-Ctrl injection. (<b>A</b>) Representation of GFP and Shh distribution in a coronal brain section of the lesioned cc. Dashed boxes highlight GFP<sup>+</sup>-infected cells expressing Shh inside and outside the lesion. The lesion area is delineated in white. (<b>B</b>–<b>D</b>) Magnifications of the lesioned cc showing the expression of the GFP reporter (green) in Olig2 (red)-positive OLs (<b>B</b>), GFAP (red)-positive astrocytes (<b>C</b>), and Iba1 (red)-positive microglia (<b>D</b>). (<b>E</b>) Graph showing the percentage of Olig2, Shh, GFAP, and Iba1 markers in GFP<sup>+</sup>-infected cells. (<b>F</b>) Graph showing the percentage of GFP-infected cells in the Olig2<sup>+</sup> OL population. Mean ± SEM, <span class="html-italic">n</span> = 3 animals. Arrowheads indicate double-positive cells. Scale bars (µm): (<b>A</b>), 100; (<b>B</b>–<b>D</b>), 30; magnifications, 20.</p>
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<p>Loss of Sonic hedgehog (Shh) function impairs mouse remyelination in vivo. (<b>A</b>–<b>H</b>) Immunodetection (<b>A</b>,<b>B</b>) and quantification (<b>C</b>–<b>H</b>) of the expression area of Shh (white) and the two myelin markers, the myelin basic protein (MBP) (red) and the proteolipid protein (PLP) (green), in the demyelinated corpus callosum (cc) of mice injected with lysophosphatidylcholine together with shRNA-Ctrl or shRNA-Shh and analyzed at 10 (<b>A</b>) and 20 (<b>B</b>) days post-lesion (dpl). The lesion area is shown above the white line. (<b>C</b>–<b>H</b>) Graphs showing the quantification of the Shh (<b>C</b>,<b>F</b>), MBP (<b>D</b>,<b>G</b>), and PLP (<b>E</b>–<b>H</b>) expression areas reported as the percentage of the total area of the lesion at 10 (<b>C</b>–<b>E</b>) and 20 (<b>F</b>–<b>H</b>) dpl. Mean ± SEM, <span class="html-italic">n</span> = 4–5 animals. Student’s <span class="html-italic">t</span>-test, * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001 versus the control condition. Scale bar: (<b>A</b>,<b>B</b>) = 100 µm.</p>
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<p>Parallel expression of Sonic hedgehog (Shh) and myelin basic protein (MBP) during myelination in the post-natal period of the mouse brain. (<b>A</b>–<b>C</b>) Immunostaining of coronal mouse brain at post-natal days 4, 10, and 20 showing the parallel increase in Shh (green) and MBP (red) protein over time at the level of the corpus callosum (cc) and the cerebral cortex. (<b>A</b>,<b>B</b>) White boxes highlight cells that are co-expressing the two markers (white arrows) in the cc and the deep layers of the cortex at P4 and P10, respectively. (<b>C</b>) The white box highlights the cc (P20), showing the expression of both MBP and Shh proteins in the fibers. Magnifications are represented in a single channel together with the DAPI nuclear marker and merge. White boxes are magnified below. Scale bars (µm): (<b>A</b>–<b>C</b>), 200; magnifications, 50. Ctx, cortex; cc, corpus callosum.</p>
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24 pages, 2487 KiB  
Article
[68Ga]Ga-FAPI-46 PET/CT for Staging Suspected/Confirmed Lung Cancer: Results on the Surgical Cohort Within a Monocentric Prospective Trial
by Lucia Zanoni, Emilia Fortunati, Giulia Cuzzani, Claudio Malizia, Filippo Lodi, Veronica Serena Cabitza, Irene Brusa, Stefano Emiliani, Marta Assenza, Filippo Antonacci, Francesca Giunchi, Alessio Degiovanni, Marco Ferrari, Filippo Natali, Thomas Galasso, Gian Piero Bandelli, Simona Civollani, Piero Candoli, Antonietta D’Errico, Piergiorgio Solli, Stefano Fanti and Cristina Nanniadd Show full author list remove Hide full author list
Pharmaceuticals 2024, 17(11), 1468; https://doi.org/10.3390/ph17111468 - 1 Nov 2024
Viewed by 505
Abstract
Background/Objectives. To evaluate T&N-staging diagnostic performance of [68Ga]Ga-FAPI-46 PET/CT (FAPI) in a suspected/confirmed lung cancer surgical cohort. Methods: Patients were enrolled in a prospective monocentric trial (EudraCT: 2021-006570-23) to perform FAPI, in addition to conventional-staging-flow-chart (including [18F]F-FDG PET/CT-FDG). For the current purpose, only [...] Read more.
Background/Objectives. To evaluate T&N-staging diagnostic performance of [68Ga]Ga-FAPI-46 PET/CT (FAPI) in a suspected/confirmed lung cancer surgical cohort. Methods: Patients were enrolled in a prospective monocentric trial (EudraCT: 2021-006570-23) to perform FAPI, in addition to conventional-staging-flow-chart (including [18F]F-FDG PET/CT-FDG). For the current purpose, only surgical patients were included. PET-semiquantitative parameters were measured for T&N: SUVmax, target-to-background-ratios (using mediastinal blood pool-MBP, liver-L and pulmonary-parenchyma-P). Visual and semiquantitative T&N PET/CT performances were analysed per patient and per region for both tracers, with surgical histopathology as standard-of-truth. Results: 63 FAPI scans were performed in 64 patients enrolled (26 May 2022–30 November 2023). A total of 50/63 patients underwent surgery and were included. Agreement (%) with histopathological-T&N-StagingAJCC8thEdition was slightly in favour of FAPI (T-66% vs. 58%, N-78% vs. 70%), increasing when T&N dichotomised (T-92% vs. 80%, N-78% vs. 72%). The performance of Visual-Criteria for T-per patient (n = 50) resulted higher FAPI than FDG. For N-per patient (n = 46), sensitivity and NPV were slightly lower with FAPI. Among 59 T-regions surgically examined, malignancy was excluded in 6/59 (10%). FAPI showed (vs. FDG): sensitivity 85% (vs. 72%), specificity 67% (vs. 50%), PPV 96% (vs. 93%), NPV 33% (vs. 17%), accuracy 83% (vs. 69%). Among 217 N-stations surgically assessed (overall 746 ln removed), only 15/217 (7%) resulted malignant; FAPI showed (vs. FDG): sensitivity 53% (vs. 60%), PPV 53% (vs. 26%), NPV 97% (vs. 97%), and significantly higher specificity (97% vs. 88%, p = 0.001) and accuracy (94% vs. 86%, p = 0.018). Semiquantitative-PET parameters performed similarly, better for N (p < 0.001) than for T, slightly in favour (although not significantly) of FAPI over FDG. Conclusions: In a suspected/confirmed lung cancer surgical cohort, PET/CT performances for preoperative T&Nstaging were slightly in favour of FAPI than FDG (except for suboptimal N-sensitivity), significantly better only for N (region-based) specificity and accuracy using visual assessment. The trial’s conventional follow-up is still ongoing; future analyses are pending, including non-surgical findings and theoretical impact on patient management. Full article
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<p><b>FAPI immunohistochemistry.</b> Four-tiered system score: (<b>A</b>) score 0: negative stain, (<b>B</b>) score 1+: weak positivity in few neoplastic cells. There are plasma cells MUM 1 positive with red stain and double positivity with FAPI and MUM1 co-expression. (<b>C</b>) score 2+: with moderate positivity in 20–50% of cells. (<b>D</b>) score 3+ with strong positive stains in &gt;50% of the cells.</p>
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<p>Comparison of Receiver operating characteristic (ROC) curves of PET/CT diagnostic performance using semiquantitative PET parameters (SUVmax, TBRs), region-based, for T (n = 59). The sub-figure on the left side shows the ROC curves for each FDG PET parameter in comparison. The sub-figure on the right side presents the ROC curves of each FAPI PET parameter in comparison. The area under the curves (AUC in %- see also <a href="#pharmaceuticals-17-01468-t006" class="html-table">Table 6</a>; a colour legend in the bottom right side of each sub-figure) were not statistically significantly different between FDG parameters nor between FAPI parameters.</p>
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<p>Comparison of Receiver Operating characteristic (ROC) curves of PET/CT diagnostic performance using Semiquantitative PET parameters (SUVmax, TBRs), region-based, for N (n = 217). The sub-figure on the left side shows the ROC curves for each FDG PET parameter in comparison. The sub-figure on the right side presents the ROC curves of each FAPI PET parameter in comparison. The area under the curves (AUC in %-see also <a href="#pharmaceuticals-17-01468-t007" class="html-table">Table 7</a>; a colour legend on the bottom right side of each sub-figure) were not statistically significantly different between FDG parameters nor between FAPI parameters.</p>
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<p><b>T-False positive (FDG-FAPI concordant): granulomatous abscess.</b> 73 y.o. male patient underwent a thoracic diagnostic CT to investigate the presence of a lung lesion after the onset of haemoptysis, which detected a voluminous, solid and inhomogeneous lung lesion in the left superior lobe. FDG PET/CT showed intense and inhomogeneous uptake (SUVmax = 14.4) in the known lung lesion (<b>a</b>), FDG-MIP-maximum intensity projection; (<b>b</b>), transaxial PET fused with the attenuation correction-CT [ACCT]; (<b>e</b>), FDG transaxial PET). A moderate uptake was detected in subaortic (#5, SUVmax = 3), left hilar (#11, SUVmax = 5.1), and left interlobar peribronchial (#11, SUVmax = 5.1; (<b>g</b>), red arrow on transaxial PET fused with the ACCT; (<b>h</b>), red arrow on FDG transaxial PET) lymph nodes (T2N2M0). FAPI PET/CT detected intense and inhomogeneous uptake (SUVmax = 20.9) in the lung lesion (<b>d</b>), FAPI-MIP-maximum intensity projection; (<b>c</b>), transaxial PET fused with ACCT; (<b>f</b>) FAPI transaxial PET) and focal uptake only in left interlobar peribronchial lymph nodal station (#11, SUVmax = 10.1, (<b>l</b>) green arrow on transaxial PET fused with ACCT; (<b>i</b>) green arrow on FAPI transaxial PET) (T2N1M0). Endobronchial ultrasound-guided biopsies resulted inconclusive in the lung and excluded malignancy in #4L (TXN0M0). Subsequent left superior lobectomy demonstrated necrotic inflammation with hilar abscess and contiguous areas of pneumonia. Inflamed lymph nodes were detected in #5, #7, #9, #10, #11. Immunochemistry was also performed with FAPI staining: immunoreactivity in fibroblasts and plasma cells was detected.</p>
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<p><b>N-FAPI True negative—FDG False positive.</b> A 60 y.o. woman underwent a diagnostic CT to investigate the onset of persistent cough, asthenia, weight loss, fever and haemoptysis. Diagnostic CT revealed the presence of a voluminous lung lesion in the right superior lobe, requiring PET/CT staging. FDG PET/CT detected intense and inhomogeneous uptake (SUVmax = 28.8) in the known lung lesion (<b>a</b>) FDG-MIP-maximum intensity projection; (<b>f</b>) transaxial PET fused with the attenuation correction-CT [ACCT]; (<b>l</b>) FDG transaxial PET). Significant uptake was also observed respectively in the right lower paratracheal (#4; SUVmax = 4.3; (<b>b</b>) red arrow on transaxial PET fused with the ACCT; (<b>d</b>) red arrow on FDG transaxial PET), subcarinal (#7, SUVmax = 4.9; (<b>e</b>) green arrow on transaxial PET fused with the ACCT; (<b>g</b>) green arrow on FDG transaxial PET) and right hilar ln stations (#10, SUVmax = 8.9; (<b>i</b>) blue arrow on transaxial PET fused with the ACCT; (<b>m</b>) blue arrow on FDG transaxial PET), suggestive for LNM (T3N2M0). FAPI PET/CT also confirmed the intense and inhomogeneous uptake in the lung lesion (SUVmax = 22.5; (<b>c</b>) FDG-MIP-maximum intensity projection; (<b>h</b>) transaxial PET fused with the ACCT; (<b>n</b>) FDG transaxial PET), but did not detect any significant lymph nodal uptake (T3N0M0). Endobronchial ultrasound-guided biopsies resulted positive in the lung for squamous cell carcinoma but negative for metastasis in the right lower paratracheal, subcarinal and right hilar lymph nodes. Surgery confirmed biopsies results: a poorly differentiated squamous cell carcinoma, with pleural, bronchial and vascular invasion, was diagnosed without lymph nodal involvement (pT3N0Mx). Subsequently, the patient started chemotherapy.</p>
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20 pages, 1900 KiB  
Article
Genome-Wide Association-Based Identification of Alleles, Genes and Haplotypes Influencing Yield in Rice (Oryza sativa L.) Under Low-Phosphorus Acidic Lowland Soils
by M. James, Wricha Tyagi, P. Magudeeswari, C. N. Neeraja and Mayank Rai
Int. J. Mol. Sci. 2024, 25(21), 11673; https://doi.org/10.3390/ijms252111673 - 30 Oct 2024
Viewed by 523
Abstract
Rice provides poor yields in acidic soils due to several nutrient deficiencies and metal toxicities. The low availability of phosphorus (P) in acidic soils offers a natural condition for screening genotypes for grain yield and phosphorus utilization efficiency (PUE). The objective of this [...] Read more.
Rice provides poor yields in acidic soils due to several nutrient deficiencies and metal toxicities. The low availability of phosphorus (P) in acidic soils offers a natural condition for screening genotypes for grain yield and phosphorus utilization efficiency (PUE). The objective of this study was to phenotype a subset of indica rice accessions from 3000 Rice Genome Project (3K-RGP) under acidic soils and find associated genes and alleles. A panel of 234 genotypes, along with checks, were grown under low-input acidic soils for two consecutive seasons, followed by a low-P-based hydroponic screening experiment. The heritability of the agro-morphological traits was high across seasons, and Ward’s clustering method identified 46 genotypes that can be used as low-P-tolerant donors in acidic soil conditions. Genotypes ARC10145, RPA5929, and K1559-4, with a higher grain yield than checks, were identified. Over 29 million SNPs were retrieved from the Rice SNP-Seek database, and after quality control, they were utilized for a genome-wide association study (GWAS) with seventeen traits. Ten quantitative trait nucleotides (QTNs) for three yield traits and five QTNs for PUE were identified. A set of 34 candidate genes for yield-related traits was also identified. An association study using this indica panel for an already reported 1.84 Mbp region on chromosome 2 identified genes Os02g09840 and Os02g08420 for yield and PUE, respectively. A haplotype analysis for the candidate genes identified favorable allelic combinations. Donors carrying the superior haplotypic combinations for the identified genes could be exploited in future breeding programs. Full article
(This article belongs to the Special Issue Power Up Plant Genetic Research with Genomic Data 2.0)
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<p>Distribution frequency using BLUP values for seven traits for 237 rice genotypes. (<b>A</b>) GYPP (grain yield per plant); (<b>B</b>) PY (plot yield); (<b>C</b>) DM (dry matter); (<b>D</b>) FGPP (filled grains per panicle); (<b>E</b>) TN (tiller number); (<b>F</b>) RSFW (relative shoot fresh weight; red and blue numbers on x axis represent positive values, respectively); (<b>G</b>) PUE (phosphorus utilization efficiency). The yellow and orange bars represent the performance of the checks Kasalath (<span class="html-italic">aus</span>) and Swarna (<span class="html-italic">indica</span>), respectively, while the dotted red line is a polynomial curve indicating the normal distribution for each trait. (<b>H</b>) Heatmap depicting the correlation between the eight traits. Pearson’s r values are given on the left, and a corresponding heatmap is shown on the right, with blue and red colors indicating positive and negative correlations, respectively. Significant values are indicated as * (<span class="html-italic">p</span> &lt; 0.05), ** (<span class="html-italic">p</span> &lt; 0.01) and *** (<span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Identification of candidate genes associated with grain yield per plant (GYPP) in low-P field conditions. (<b>A</b>) Manhattan plot of GYPP with EMMAX model showing QTNs and associated candidate genes (highlighted with arrows). Horizontal lines in the Manhattan plots indicate the genome-wide thresholds -log <span class="html-italic">P</span> values of 5 (blue) and 7.5 (red). (<b>B</b>) Q–Q plot for GYPP. The dashed (red) line in Q–Q plot represents significance threshold, whereas black dots represent observed values. (<b>C</b>) Zoomed-in SNP likelihood LD (linkage disequilibrium) heatmap showing the peak SNP and the position of candidate gene <span class="html-italic">Os11g34110</span> within the dotted red triangle. Gene structure of candidate genes—(<b>D</b>) <span class="html-italic">Os11g34110</span>, (<b>G</b>) <span class="html-italic">Os05g28200</span> and (<b>I</b>) <span class="html-italic">Os09g23650</span>—with haplotype analysis of peak SNPs. The orange, blue and white colors represent exons, UTR and introns, respectively. Nonsynonymous SNPs are in bold; the blue-, red- and yellow-colored columns represent peak, deleterious SNP (SIFT score &lt; 0.05) and the splice variant, respectively. The average value for a particular haplotype (hap.) for GYPP and PY, along with the number of genotypes (no.), is indicated. Phenotypic variation among haplotypes for GYPP and PY with significant values (<span class="html-italic">t</span>-test) indicated as * (<span class="html-italic">p</span> &lt; 0.05), ** (<span class="html-italic">p</span> &lt; 0.01) and *** (<span class="html-italic">p</span> &lt; 0.001), respectively, for candidate genes—(<b>E</b>) and (<b>F</b>) <span class="html-italic">Os11g34110</span>, (<b>H</b>) <span class="html-italic">Os05g28200</span> and (<b>J</b>) <span class="html-italic">Os09g23650</span>.</p>
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<p>Identification of candidate genes associated with phosphorus utilization efficiency (PUE). (<b>A</b>,<b>B</b>) Manhattan plot and Q–Q plot of PY, GYPP and PUE with EMMAX model showing QTNs and associated candidate genes (highlighted with arrows). Horizontal lines in the Manhattan plots indicate the genome-wide thresholds -log <span class="html-italic">P</span> values of 5 (blue) and 7.5 (red). The dashed (red) line in Q–Q plot represents significance threshold, whereas black dots represent observed values. Gene structure of candidate genes—(<b>C</b>) <span class="html-italic">Os06g12250</span>, (<b>E</b>) <span class="html-italic">Os08g04810</span>, (<b>G</b>) Os08g06070, (<b>I</b>) <span class="html-italic">Os08g10260</span>, and (<b>K</b>) <span class="html-italic">Os11g45540</span> with a haplotype analysis of peak SNPs. Orange, blue and white colors represent exons, UTR and introns, respectively. Nonsynonymous SNPs are in bold; the blue-colored columns represent peak SNP. The average value for a particular haplotype (hap.) for PUE, along with the number of genotypes (no.), is indicated. (<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>,<b>L</b>) Phenotypic variation among haplotypes for PUE with significant values (<span class="html-italic">t</span>-test) indicated as ** (<span class="html-italic">p</span> &lt; 0.01) and *** (<span class="html-italic">p</span> &lt; 0.001), respectively, for candidate genes.</p>
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13 pages, 2700 KiB  
Article
Hardware Implementation of a 2D Chaotic Map-Based Audio Encryption System Using S-Box
by Hisham M. Elrefai, Wafaa S. Sayed and Lobna A. Said
Electronics 2024, 13(21), 4254; https://doi.org/10.3390/electronics13214254 - 30 Oct 2024
Viewed by 381
Abstract
This paper presents a hardware-based audio encryption system using a 2D chaotic map and dynamic S-box design implemented on an Artix-7 FPGA platform. Three distinct chaotic maps—logistic–fraction (2D-LF), logistic–sine (2D-LS), and fraction–sine (2D-FS)—were investigated and implemented on an FPGA. The 2D-LF map was [...] Read more.
This paper presents a hardware-based audio encryption system using a 2D chaotic map and dynamic S-box design implemented on an Artix-7 FPGA platform. Three distinct chaotic maps—logistic–fraction (2D-LF), logistic–sine (2D-LS), and fraction–sine (2D-FS)—were investigated and implemented on an FPGA. The 2D-LF map was employed in the encryption system for its throughput and power efficiency performance. The proposed encryption system benefits from the randomness of chaotic sequences for block permutation and S-box substitution to enhance the diffusion and confusion properties of the encrypted speech signal. The system’s encryption strength is validated through performance evaluations, using the mean squared error (MSE), signal-to-noise ratio (SNR), correlation coefficients, and NIST randomness tests, which confirm the unpredictability of the encrypted speech signal. The hardware implementation results show a throughput of 2880 Mbps and power consumption of 0.13 W. Full article
(This article belongs to the Section Circuit and Signal Processing)
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<p>Phase space trajectory (<b>a</b>) 2D-LF, (<b>b</b>) 2D-Ls, and (<b>c</b>) 2D-FS.</p>
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<p>Hardware architecture of (<b>a</b>) 2D-LF, (<b>b</b>) 2D-Ls, and (<b>c</b>) 2D-FS.</p>
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<p>Hardware architectures of (<b>a</b>) x-y term.png, (<b>b</b>) <math display="inline"><semantics> <mi>θ</mi> </semantics></math>, (<b>c</b>) MUL, and (<b>d</b>) <math display="inline"><semantics> <msub> <mi>O</mi> <mrow> <mi>i</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> </semantics></math>.</p>
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<p>Phase space trajectory of fixed-point hardware design vs. floating-point Matlab: (<b>a</b>) 2D-LF, (<b>b</b>) 2D-LS, (<b>c</b>) 2D-FS.</p>
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<p>Proposed encryption system for audio signals.</p>
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22 pages, 350 KiB  
Review
An Overview of Myeloid Blast-Phase Chronic Myeloid Leukemia
by Gulsum E. Pamuk and Lori A. Ehrlich
Cancers 2024, 16(21), 3615; https://doi.org/10.3390/cancers16213615 - 26 Oct 2024
Viewed by 572
Abstract
Myeloid blast-phase chronic myeloid leukemia (MBP-CML) is a rare disease with a dismal prognosis. It is twice as common as lymphoid blast-phase CML, and its prognosis is poorer. Despite the success with tyrosine kinase inhibitors in the treatment of chronic-phase CML, the same [...] Read more.
Myeloid blast-phase chronic myeloid leukemia (MBP-CML) is a rare disease with a dismal prognosis. It is twice as common as lymphoid blast-phase CML, and its prognosis is poorer. Despite the success with tyrosine kinase inhibitors in the treatment of chronic-phase CML, the same does not hold true for MBP-CML. In addition to the Philadelphia chromosome, other chromosomal and molecular changes characterize rapid progression. Although some progress in elucidating the biology of MBP-CML has been made, there is need to discover more in order to develop more satisfactory treatment options. Currently, most common treatment options include tyrosine kinase inhibitors (TKIs) as monotherapy or in combination with acute myeloid leukemia-based intensive chemotherapy regimens. Some patients may develop resistance to TKIs via BCR-ABL1-dependent or BCR-ABL1-independent mechanisms. In this paper, we provide an overview of the biology of MBP-CML, the current treatment approaches, and mechanisms of resistance to TKIs. In order to improve treatment responses in these patients, more emphasis should be placed on understanding the biology of myeloid blastic transformation in CML and mechanisms of resistance to TKIs. Although patient numbers are small, randomized clinical trials should be considered. Full article
(This article belongs to the Special Issue Acute Myeloid Leukemia in Adults)
19 pages, 3398 KiB  
Article
Electroencephalographic and Cardiovascular Assessments of Isoflurane-Anesthetized Dogs
by Jeff C. Ko, Carla Murillo, Ann B. Weil, Matthias Kreuzer and George E. Moore
Vet. Sci. 2024, 11(10), 514; https://doi.org/10.3390/vetsci11100514 - 18 Oct 2024
Viewed by 801
Abstract
This study investigated the use of frontal electroencephalography (EEG) to monitor varying levels of isoflurane anesthesia in dogs. The patient state index (PSI), burst suppression ratio (SR), and waveforms, were continuously recorded while mean arterial blood pressure (MBP), heart rate, responses to electric [...] Read more.
This study investigated the use of frontal electroencephalography (EEG) to monitor varying levels of isoflurane anesthesia in dogs. The patient state index (PSI), burst suppression ratio (SR), and waveforms, were continuously recorded while mean arterial blood pressure (MBP), heart rate, responses to electric stimuli, and subjective anesthetic “depth” were assessed every 3 min. At deep anesthesia (2.5× MAC − 3.2%), the PSI (6.5 ± 10.8) and MBP (45.6 ± 16.4 mmHg) were the lowest, and SR was the highest (78.3 ± 24.0%). At 1× MAC (1.3%), the PSI and MBP increased significantly to 47.8 ± 12.6 and 99.8 ± 13.2, respectively, and SR decreased to 0.5 ± 2.5%. The EEG was predominantly isoelectric at 2×–2.5× MAC, indicating unconsciousness and unresponsiveness. As anesthesia lightened, waveforms transitioned to flatter and faster activity patterns with a response to noxious stimuli, suggesting regained consciousness. The PSI and MBP exhibited a stronger correlation (ρ = 0.8098, p = 0.001) than the relationship of PSI with heart rate (ρ = −0.2089, p = 0.249). Five of the six dogs experienced rough recovery, possibly due to high SR and low MBP. These findings suggest that EEG monitoring in dogs can be a valuable tool for the real-time tracking of brain states and can be used to guide the management of isoflurane anesthesia. Full article
(This article belongs to the Section Veterinary Surgery)
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Graphical abstract
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<p>This schematic illustration depicts the treatment timeline for six dogs exposed to various end-tidal isoflurane concentrations. The x-axis represents the isoflurane concentration over time, while the y-axis indicates the different phases of treatment. Phase 0 (Awake—baseline) represents the dogs in their awake state, serving as the baseline. Phase 1 (Induction—face mask) involves induction with isoflurane using a face mask. Phase 2 (Profound anesthesia—2.5× MAC) involves maintaining isoflurane at 2.5× MAC for 10 min. Phase 3 (Deep anesthesia—2.0 MAC) involves reducing the concentration to 2.0× MAC and maintaining it for 15 min. Phase 4 (Surgical plane anesthesia—1.5× MAC) involves further reducing the concentration to 1.5× MAC for another 15 min. Phase 5 (Light anesthesia—1.0× MAC) involves decreasing the concentration to 1.0× MAC and maintaining it for 15 min. Phase 6 (Minimal anesthesia—0.75× MAC) involves lowering the concentration to 0.75× MAC for the final 15 min of maintenance. Phase 7 (Recovery) marks the recovery period, where the isoflurane concentration was terminated, allowing the dogs to regain consciousness. This figure provides a visual aid for the overview of the anesthesia treatment. The brain image suggests an approximate anatomical relationship for the phases, enhancing visual understanding despite not being precise.</p>
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<p>The spectrogram (upper panel) of a study dog illustrates the evolution of EEG patterns from awake (Phase 0) to isoflurane induction (Phase 1) and through various levels of isoflurane anesthesia (Phase 2–6), as indicated by MAC multiples and end-tidal isoflurane concentrations, to recovery (Phase 7). The 95% spectral edge frequency of the combined left and right hemispheres is depicted in the lower panel. Numbers separated by the purple lines represent the study phases (0–7). Burst suppression, characterized by dark blue regions in the upper panel and EEG frequency in the lower panel, was clearly evident during deeper anesthesia (2.5 and 2 MAC). As the levels of anesthesia lightened (1.5×, 1×, 0.75× MAC, and recovery), a distinct shift in SEF95 frequencies was observed, transitioning from burst suppression and delta dominance to alpha- and beta-band activity. As the dog recovered further, frequencies entered the high beta- and gamma-band activity.</p>
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<p>Panel (<b>A</b>) (left—timestamp 1:38 p.m.) shows an awake EEG pattern in the dog (Phase 0), characterized by high-frequency gamma waves, low amplitudes, and a high PSI (94) value. Due to high muscle activity (EMG 65%), the white color on the SedLine monitor’s spectrogram typically indicates periods of artifact that may be caused by such muscle activity, preventing the display of SEF95 values. Panel (<b>B</b>) (right—timestamp 1:48 p.m.) depicts the EEG pattern after isoflurane face mask induction and intubation (Phase 1), transitioning to profound anesthesia. The PSI trend graph, located in the middle of the figures, provides a visual representation of the PSI value changes over time, allowing clinicians to monitor changes in the patient’s level of consciousness and anesthetic depth. The PSI trend graphs in both panels (<b>A</b>,<b>B</b>) show high PSI values (the yellow blocks). The high-frequency awake waveform disappeared, transitioning to the typical isoflurane EEG pattern of alpha (SEF95 12.8 Hz) and beta (SEF95 21.4 Hz) waveforms. As the dog was in the early stages of transition, muscle activities remained high (EMG 59%). The spectrogram at the bottom of the figures transitioned from a pattern of high muscle activity and artifacts (Panel A - white color with some red color) to a typical light anesthesia pattern (Panel B) characterized by a mixture of high alpha and beta frequency colors (red-green and blue) and a reduction in muscle activity.</p>
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<p>Panel (<b>A</b>) (left figure) illustrates a state of EEG electrical silence in the dog after 10 min of exposure to 2.5× MAC (3.3% end-tidal) isoflurane. The dog exhibited a burst suppression ratio of 88%, and the PSI value was 3. The PSI trend graphs demonstrate a profound depth of anesthesia, indicated by the deep blue color during both 2.5× (<b>A</b>) and 2× MAC (<b>B</b>), which falls well below the default unconscious range of 25–50 PSI (the green zone in the PSI trend graph figure between 25 and 50 PSI). The spectrogram showed bilateral burst suppression with electrical silence, characterized by the presence of black color blocks with blue tip lines in both hemispheres. Panel (<b>B</b>) (right, timestamp 2:26 p.m.) depicts a state of total electrical silence with 100% burst suppression and a PSI value of zero at 15 min after anesthesia with isoflurane concentration of 2× MAC (2.6% end-tidal). The vertical pink lines demarcate the duration of 2.5× MAC, the transition from 2.5× MAC to 2× MAC, and the subsequent maintenance phase at 2× MAC. The white bars indicate periods of signal loss or poor quality, likely due to significant electrical silence and the profound burst suppression. The spectrogram at the bottom of the figures transitioned from a pattern of light plane of anesthesia characterized by red-green and blue colors (Panel <b>A</b>) to a high percentage of burst suppression (black color) (Panel <b>B</b>). The white line indicates artifacts during the EEG quiescence.</p>
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<p>This figure illustrates two types of burst suppression patterns. The burst suppression EEG pattern is characterized by alternating periods of high-voltage electrical activity waves (bursts) and periods of electrical inactivity or flat lines (suppression) in the brain. Panel (<b>A</b>) illustrates a type of burst suppression EEG waveform, characterized by bursting activity in the middle of the screen and long silent waveforms on either side. These waveforms were observed following exposure to a profound depth of anesthesia with prolonged isoelectric periods. In this case, electrical silence occurred during the profound and deep anesthesia of 2.5× and 2× MAC, and the dog was emerging from these periods. Panel (<b>B</b>) shows a different burst suppression pattern that occurred as the dog was in the surgical plane of anesthesia (1.5× MAC), when the isoflurane was not as profound as in 2.5× and 2× MAC but still profound enough to induce a burst suppression pattern. This burst suppression pattern was characterized by a short silent wave in the middle, while mixed with alpha- and beta-band activity and forming a distinct spectrogram that is easily discernible when comparing the spectrograms of (<b>A</b>). In (<b>A</b>), the spectrogram power remains low (all black color) due to electrical silence with some burst suppression (56%), whereas in (<b>B</b>), the burst suppression percentage reduces significantly to 14%, and other EEG power increases as indicated by the presence of red and green colors, suggesting the awakening of various brain regions from a previously profoundly depressed phase.</p>
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<p>Panel (<b>A</b>) illustrates the unique EEG pattern of the isoflurane surgical plane of anesthesia (Phase 4, 1.5× MAC) in dogs. The waveforms were dominated by alpha and beta activity (see <a href="#vetsci-11-00514-t001" class="html-table">Table 1</a> SEF95 values). The PSI was 24 with low SR of 4% and EMG of 5%. Panel (<b>B</b>) shows that as the depth of anesthesia lightened to 1× MAC, the PSI went up to 39, and EMG activity increased to 40%, visible on the spectrogram as a red line pattern spreading over time at high frequencies in the gamma-band range. The PSI trend graphs also provided a clear indication that the isoflurane anesthesia level went from profound depression to a much lighter plane of anesthesia over time. The spectrogram at the bottom of the figures shows the typical surgical plane of EEG powers, characterized by alpha and beta activity represented by red and green color blocks in both Panel (<b>A</b>) and Panel (<b>B</b>). Within the red block spectrogram, the 95% SEF, represented by the white lines, appears to fluctuate up and down.</p>
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<p>(<b>A</b>) The general PSI trend graph shows an upward swing from 1.5× MAC to 0.75× MAC over time, with fluctuations and a sudden dip due to burst suppression (see the black block in the figure). (<b>B</b>) When the anesthetic concentration was reduced from 1× MAC to 0.75× MAC, there was a noticeable increase in EMG activity in both the spectrogram (as evidenced by the red-colored line spreading over time in the bottom part of the spectrogram) and the raw EEG waveforms. The figure clearly depicts continuous brain state changes leading to recovery, shown by increasing muscle activity and a significant rise in PSI values. SEF95 values also increased to beta-band (16.0 Hz) and low gamma-band (26.3 Hz) frequencies, indicating regained consciousness. Additionally, significant changes in the red areas of the spectrogram indicate higher frequency and lower amplitude of EEG power and muscle activity, suggesting greater awareness. The raw EEG, EEG indices, and spectrogram in both (<b>A</b>,<b>B</b>) collectively provided valuable clues to indicate real-time changes in anesthesia depth, guiding clinicians in managing isoflurane anesthesia.</p>
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14 pages, 3497 KiB  
Article
Recombinant Plasminogen Activator of the Sandworm (Perinereis aibuhitensis) Expression in Escherichia coli
by Tuo Song, Xiaozhen Diao, Jun Cheng, Yang Man, Boyu Chen, Haixing Zhang and Wenhui Wu
Bioengineering 2024, 11(10), 1030; https://doi.org/10.3390/bioengineering11101030 - 15 Oct 2024
Viewed by 567
Abstract
As an essential thrombolytic agent, the tissue plasminogen activator receives increasing attention due to its longer half-life, lower immunogenicity, and easier administration, which are superior to other thrombolytic agents. In this study, the isolated and purified plasminogen activator from the sandworm (Perinereis aibuhitensis [...] Read more.
As an essential thrombolytic agent, the tissue plasminogen activator receives increasing attention due to its longer half-life, lower immunogenicity, and easier administration, which are superior to other thrombolytic agents. In this study, the isolated and purified plasminogen activator from the sandworm (Perinereis aibuhitensis) was expressed in E. coli (Escherichia coli) to investigate its potential for simplifying the development process. The sandworm plasminogen activator was previously successfully cloned and expressed in E. coli with low yield and activity in the culture supernatant. This low yield and activity prompted us to optimize its DNA sequence. Furthermore, to raise the efficiency in the separation of the target protein, the protein’s solubility was enhanced by fusing it with maltose-binding protein (MBP) tags. Eventually, the fibrinolytic activity was successfully restored after digestion with tobacco etch virus (TEV) protease. This study provides an innovative method of efficiently expressing and purifying plasminogen activators from sandworm in E. coli and broadens its applications in therapeutic treatment of cardiovascular diseases, including thrombosis, stroke, and coronary atherosclerotic heart disease. Full article
(This article belongs to the Section Biochemical Engineering)
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<p>Schematic representation of the complete protein structure to be expressed (MBP is the maltose-binding protein tag, TEV is the TEV cleavage site of the protease, and pwPlasmin83 is the 83AA to be expressed).</p>
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<p>SDS-PAGE electrophoretic graph. M: Marker; Lane 1: without IPTG induced; 2: supernatant, the temperature reaches 37 °C, while the concentration of IPTG is 0.8 mM; 3: precipitation, the temperature reaches 37 °C, while the concentration of IPTG is 0.8 mM; 4: supernatant, the temperature reaches 25 °C while the concentration of IPTG is 0.2 mM; 5: precipitation, the temperature reaches 25 °C while the concentration of IPTG is 0.2 mM.</p>
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<p>(<b>a</b>) Electrophoretic graph, M: marker, Lane1: elution. (<b>b</b>) WB graph, Lanes 1 and 2: same elution after nickel column purification, 3: control (PNGase F with His Tag).</p>
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<p>Comparison on the fibrinolytic activities between plasmin and the purified plasminogen activator. The data represent mean ± SD, <span class="html-italic">n</span> = 3.</p>
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<p>Comparison on the activation of plasminogen between urokinase and the purified plasminogen activator. Supernatant after wall-breaking refers to the liquid that remains on top after the cell walls have been broken or lysed. The data represent mean ± SD, <span class="html-italic">n</span> = 3.</p>
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<p>Influence on the activation of plasminogen by purification via denaturation of the isolated plasminogen activator in the inclusion body from <span class="html-italic">E. coli</span>. the sample that has been refolded is then referred to as “Renaturation sample”. Renaturation sample after fluid change ×1 time: the sample after renaturation that has undergone one single fluid change treatment. Renaturation sample after fluid change × 5 time: the sample after reconstitution that has undergone 5 rounds of fluid change treatment. Renaturation sample after fluid change × 10 time: the sample after reconstitution that has undergone 10 rounds of fluid change treatment. The data represent mean ± SD, <span class="html-italic">n</span> = 3.</p>
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<p>(<b>a</b>) Electropherogram after sequence optimization. M: marker. Lane1: supernatant, the temperature reaches 25 °C while the concentration of IPTG is 0.2 mM; 2: precipitation, the temperature reaches 25 °C while the concentration of IPTG is 0.2 mM; 3: supernatant, the temperature reaches 37 °C while the concentration of IPTG is 0.8 mM; 4: precipitation, the temperature reaches 37 °C while the concentration of IPTG is 0.8 mM; 5: supernatant, without the induction of IPTG; 6: precipitation, without the induction of IPTG. (<b>b</b>) Comparison of electropherograms before and after sequence optimization; Lane1: before optimization, supernatant; 2: before optimization, precipitation; 3: after optimization, supernatant; 4: after optimization, precipitation.</p>
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<p>SDS-PAGE electrophoretic graph. M: marker; Lane1: elution.</p>
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<p>Fibrinolytic protease enzyme activity assay. The data represent mean ± SD, <span class="html-italic">n</span> = 3.</p>
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<p>Determination of the enzyme activity of plasminogen activator before and after cleavage. Before TEVase digestion: samples before being treated with TEV enzymes; after TEVase digestion: samples treated with TEV enzymes. The data represent mean ± SD, <span class="html-italic">n</span> = 3.</p>
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29 pages, 3558 KiB  
Article
Genome-Wide Transcriptional Response of Avocado to Fusarium sp. Infection
by Michel Pale, Claudia-Anahí Pérez-Torres, Catalina Arenas-Huertero, Emanuel Villafán, Diana Sánchez-Rangel and Enrique Ibarra-Laclette
Plants 2024, 13(20), 2886; https://doi.org/10.3390/plants13202886 - 15 Oct 2024
Viewed by 828
Abstract
The avocado crop is relevant for its economic importance and because of its unique evolutionary history. However, there is a lack of information regarding the molecular processes during the defense response against fungal pathogens. Therefore, using a genome-wide approach in this work, we [...] Read more.
The avocado crop is relevant for its economic importance and because of its unique evolutionary history. However, there is a lack of information regarding the molecular processes during the defense response against fungal pathogens. Therefore, using a genome-wide approach in this work, we investigated the transcriptional response of the Mexican horticultural race of avocado (Persea americana var. drymifolia), including miRNAs profile and their possible targets. For that, we established an avocado–Fusarium hydroponic pathosystem and studied the response for 21 days. To guarantee robustness in the analysis, first, we improved the avocado genome assembly available for this variety, resulting in 822.49 Mbp in length with 36,200 gene models. Then, using an RNA-seq approach, we identified 13,778 genes differentially expressed in response to the Fusarium infection. According to their expression profile across time, these genes can be clustered into six groups, each associated with specific biological processes. Regarding non-coding RNAs, 8 of the 57 mature miRNAs identified in the avocado genome are responsive to infection caused by Fusarium, and the analysis revealed a total of 569 target genes whose transcript could be post-transcriptionally regulated. This study represents the first research in avocados to comprehensively explore the role of miRNAs in orchestrating defense responses against Fusarium spp. Also, this work provides valuable data about the genes involved in the intricate response of the avocado during fungal infection. Full article
(This article belongs to the Special Issue Molecular Biology and Genomics of Plant-Pathogen Interactions)
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<p>Symptoms of fusariosis in seedlings of avocado var. <span class="html-italic">drymifolia</span> at 30 dpi. Photography triptych on the left: leaf, stem, and root of uninfected plants (Control). Photography triptych on the right: leaf, stem, and root of infected seedlings. Infected plants were root inoculated with 1 × 10<sup>6</sup> water-conidia suspension; control plants were treated with sterile water.</p>
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<p>Schematic representation of some relevant genome metrics of avocado var. <span class="html-italic">drymifolia</span> genome. (<b>a</b>) Available assembled genome harbor 822.49 Mbp contained in a total of 7159 scaffolds. Input data from generating this new version were previously reported from Rendón-Anaya et al. [<a href="#B34-plants-13-02886" class="html-bibr">34</a>] and were downloaded from GenBank. In total, 60.77% of the whole genome sequence (totaling 822.49 Mbp) was successfully anchored to the genetic map. A pie chart was used to visualize this information. (<b>b</b>) The gene set, which was predicted in both anchored and not anchored genomic sequences, comprises a total of 36,200 genes (25,959 and 10,241, respectively). (<b>c</b>) The anchored genome sequences to the genetic map are shown in a chromosome-scale graph. (<b>d</b>) Completeness estimated based on single copy orthologs shared between flowering plants from the dicotyledon clade (n = 1375). The bar’s colors represent the classes resulting from the BUSCO assessment.</p>
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<p>Genes of avocado var. <span class="html-italic">drymifolia</span> identified as differentially expressed (DE) in response to <span class="html-italic">Fusarium</span> sp. infection. (<b>a</b>) Heatmap of expression profiles showing differentially expressed genes (DEGs), (<b>b</b>) Hierarchical clustering tree that shows closeness (or similarity) between the distinct sampling points included in differential expression analysis, (<b>c</b>) Venn diagram which show DEGs identified on each sampling point. In parentheses, the percentage of the total represented by those DEGs shared or not, between each sampling point.</p>
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<p>Clusters of DEGs formed based on their expression profiles and GO enrichment analysis, which shows the most representative functional categories for each cluster (six in total; C1–C6, respectively). (<b>a</b>) Clusters of DEGs with similar expression patterns responsive to <span class="html-italic">Fusarium</span> sp. infection. (<b>b</b>) Representative biological processes for each cluster generated).</p>
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<p>Main enriched hormonal processes in response to <span class="html-italic">Fusarium</span> sp. The figure shows the main phytohormones involved in the pathogenesis process and the number of genes involved in the regulated associated processes, which are biosynthesis, metabolism, transport, signaling, and regulation of SAR responses. Gray bars show those genes shared in multiple biological processes.</p>
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<p>DEmiRNAs responsive to <span class="html-italic">Fusarium</span> sp. infection and the biological processes (BP) regulated by them. (<b>a</b>) UpSet plot of identified DEmiRNAs representing the number of target genes associated with each of them. (<b>b</b>) Bubble plot representing the main BP in which the associated targets of each identified DEmiRNA could intervene. The figure in the (<b>b</b>) panel was generated only considering the annotated target genes.</p>
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<p>Involvement of DEmiRNAs in phytohormone regulation. The bubble plot illustrates the primary phytohormones and their respective roles, including biosynthesis, transport, metabolism, and involvement in SAR responses. It also indicates how the identified DEmiRNAs might intervene in these processes.</p>
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<p>A schematic representation of the innate immune system model by which avocado var. <span class="html-italic">drymifolia</span> seeks to counteract the <span class="html-italic">Fusarium</span> sp. infection. In avocado defense responses initiated after <span class="html-italic">Fusarium</span> sp. recognition. Genes associated with signal transduction activation, which are responsive to the recognition of elicitor molecules, such as <span class="html-italic">LYK3</span> and <span class="html-italic">RLK1</span>, were evidenced. The recognition is also mediated by <span class="html-italic">R</span> genes, exemplified by <span class="html-italic">RPP13</span>. This recognition and signaling cascades allow the accumulation of reactive oxygen species (ROS) and the activation of various transcription factors (TFs). Activation of these TFs facilitates the involvement of four main processes: microRNA expression, phenylpropanoids biosynthesis, biosynthesis and involvement of phytohormones, and expression of different genes. The main phytohormones involved in pathogenesis responses are AUX, ET, JA, SA, and ABA, the latter being the most represented in hormone-mediated signaling process. ABA can negatively regulate ET and AUX activity by suppressing genes such as <span class="html-italic">YUCCA4</span> and <span class="html-italic">EIN3</span> and intervene in JA signaling by regulating the <span class="html-italic">MYC2</span> gene. ET and JA act synergistically with the involvement of <span class="html-italic">WRKY33</span> gene. AUX, on the other hand, is involved, like phenylpropanoids biosynthesis, in root development, where AUX transporter activity is represented by ABC, PIN, and AUX. One process represented is SAR response, which is mediated by crosstalk between phytohormones such as ET, JA, and SA, in addition to the involvement of different genes considered important for optimal SAR responses, such as <span class="html-italic">ELP2</span>, <span class="html-italic">FLD</span>, <span class="html-italic">FVE</span>, and <span class="html-italic">FMO1</span>, as well as transporters like EDS5, highlighting the importance of this process as a primary response during the pathogenesis event. The regulatory involvement of microRNAs is reflected at different levels of regulation process. They can intervene in pathogen recognition regulation, as in the case of the miRNA/gene pair <span class="html-italic">miR157</span>/<span class="html-italic">LYK3</span> and <span class="html-italic">Ctg0854_RaGOO_5920</span>/<span class="html-italic">RLK1</span>. They can also be involved in phenylpropanoids biosynthesis, as in the case of <span class="html-italic">miR166</span>/<span class="html-italic">MYB4</span>, and regulate AUX activity with the action of <span class="html-italic">chr11_RaGOO_17754</span> on the <span class="html-italic">YUC5</span> gene. Both <span class="html-italic">miR166b</span> and <span class="html-italic">chr11_RaGOO_17754</span> may regulate root development. Finally, SAR may be regulated by the activity of miR166 on the <span class="html-italic">JAR1</span> gene and <span class="html-italic">chr4_RaGOO_33952</span> on the <span class="html-italic">PEN3</span> gene.</p>
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17 pages, 14403 KiB  
Article
Maize Endophytic Plant Growth-Promoting Bacteria Peribacillus simplex Can Alleviate Plant Saline and Alkaline Stress
by Guoliang Li, Miaoxin Shi, Wenhao Wan, Zongying Wang, Shangwei Ji, Fengshan Yang, Shumei Jin and Jianguo Zhang
Int. J. Mol. Sci. 2024, 25(20), 10870; https://doi.org/10.3390/ijms252010870 - 10 Oct 2024
Viewed by 776
Abstract
Soil salinization is currently one of the main abiotic stresses that restrict plant growth. Plant endophytic bacteria can alleviate abiotic stress. The aim of the current study was to isolate, characterize, and assess the plant growth-promoting and saline and alkaline stress-alleviating traits of [...] Read more.
Soil salinization is currently one of the main abiotic stresses that restrict plant growth. Plant endophytic bacteria can alleviate abiotic stress. The aim of the current study was to isolate, characterize, and assess the plant growth-promoting and saline and alkaline stress-alleviating traits of Peribacillus simplex M1 (P. simplex M1) isolates from maize. One endophytic bacterial isolate, named P. simplex M1, was selected from the roots of maize grown in saline–alkali soil. The P. simplex M1 genome sequence analysis of the bacteria with a length of 5.8 Mbp includes about 700 genes that promote growth and 16 antioxidant activity genes that alleviate saline and alkaline stress. P. simplex M1 can grow below 400 mM NaHCO3 on the LB culture medium; The isolate displayed multiple plant growth-stimulating features, such as nitrogen fixation, produced indole-3-acetic acid (IAA), and siderophore production. This isolate had a positive effect on the resistance to salt of maize in addition to the growth. P. simplex M1 significantly promoted seed germination by enhancing seed vigor in maize whether under normal growth or NaHCO3 stress conditions. The seeds with NaHCO3 treatment exhibited higher reactive oxygen species (ROS) levels than the maize in P. simplex M1 inoculant on maize. P. simplex M1 can colonize the roots of maize. The P. simplex M1 inoculant plant increased chlorophyll in leaves, stimulated root and leaf growth, increased the number of lateral roots and root dry weight, increased the length and width of the blades, and dry weight of the blades. The application of inoculants can significantly reduce the content of malondialdehyde (MDA) and increase the activity of plant antioxidant enzymes (Catalase (CAT), Superoxide Dismutase (SOD), and Peroxidase (POD)), which may thereby improve maize resistance to saline and alkaline stress. Conclusion: P. simplex M1 isolate belongs to plant growth-promoting bacteria by having high nitrogen concentration, indoleacetic acid (IAA), and siderophore, and reducing the content of ROS through the antioxidant system to alleviate salt alkali stress. This study presents the potential application of P. simplex M1 as a biological inoculant to promote plant growth and mitigate the saline and alkaline effects of maize and other crops. Full article
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<p>Colonies grown in the NA medium added with 400 mM NaHCO<sub>3</sub> and blasted with standard bacterial strain in the BERGEY’S MANUAL. (<b>A</b>) Colonies grown in the NA medium added with 400 mM NaHCO<sub>3</sub> (<b>B</b>). Blast with standard bacterial strain in BERGEY’S MANUAL.</p>
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<p>Physiological and biochemical reactions of bacteria. (<b>A</b>) Catalase characteristic experiment for catalase positive or negative. (<b>B</b>) hydrogen sulfide test for H<sub>2</sub>S production. (<b>C</b>) Voges–Proskauer (VP) test for producing acid reaction. (<b>D</b>) methyl red test for producing acid reaction.</p>
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<p>Schematic illustration showing the various tests performed on plates (Petri dishes 9 cm in diameter) for the assessment of the PGP traits of <span class="html-italic">P. simplex M1</span>. (<b>A</b>) Nitrogen fixation ability on the Nfb culture medium; (<b>B</b>) phosphorus solubilization ability on the NBRIP culture medium; (<b>C</b>) Siderophore production on the CAS culture medium; (<b>D</b>) produce IAA grown on no added tryptophan.</p>
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<p>Growth of <span class="html-italic">P. simplex M1</span> under different concentrations of NaHCO<sub>3</sub> stress. A total of 5 μL <span class="html-italic">P. simplex M1</span> (OD<sub>600</sub> = 0.5) were spotted on solid LB media supplemented with the indicated stresses and grew at 30 °C for 3 d. No treatment is a control (CK).</p>
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<p>Growth of <span class="html-italic">P. simplex M1</span> under different pH conditions. A total of 200 μL <span class="html-italic">P. simplex M1</span> (OD<sub>600</sub> = 0.5) liquid was added to 1 mL sterilized LB liquid medium with different pH values (3–10) at 30 °C with constant shaking at 1300 rpm. The OD<sub>600</sub> value was measured using an ELISA reader every hour and measured continuously for 24 h. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, standard error of three biological replicates.</p>
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<p>The effect of <span class="html-italic">P. simplex M1</span> on maize seed germination. (<b>A</b>) Left: the sterile maize seeds were planted on the 1/2 MS; right: the sterile maize seeds in the inoculation with <span class="html-italic">P. simplex M1</span> were planted on the 1/2 MS; (<b>B</b>) left: the sterile maize seeds were planted on the 1/2 MS + 10 mM NaHCO<sub>3</sub>; right: the sterile maize seeds in the inoculation with <span class="html-italic">P. simplex M1</span> were planted on the 1/2 MS + 10 mM NaHCO<sub>3</sub>; (<b>C</b>) the leaf length of maize seed germination; (<b>D</b>) the root length of maize seed germination for 10 d. The germination percentage of the maize seeds was recorded during 10 d of NaHCO<sub>3</sub> treatment. Data show the means ± SE of three replicates. At least 50 seeds in each treatment were measured in each repeat. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, standard error of three biological replicates.</p>
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<p>TTC, DAB, and NBT staining of maize seed. (<b>A</b>) Each group represents the sterile maize seeds under free salt stress (control); (<b>B</b>) the sterile maize seeds in the inoculation with <span class="html-italic">P. simplex M1</span> under free salt stress; (<b>C</b>) the sterile maize seeds under the 10 mM NaHCO<sub>3</sub> stress; (<b>D</b>) the sterile maize seeds in the inoculation with <span class="html-italic">P. simplex M1</span> under the 10 mM NaHCO<sub>3</sub>.</p>
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<p>Colonization of <span class="html-italic">P. simplex M1</span> on maize seedling root. (<b>A</b>) The morphology of GFP-expressing <span class="html-italic">P. simplex M1</span>; (<b>B</b>) the maize root as a control; (<b>C</b>) the colonization of root with GFP- expressing <span class="html-italic">P. simplex M1</span>. The white arrow points to a bacterial cluster, scale Bar = 50 µm.</p>
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<p>Effect of <span class="html-italic">P. simplex M1</span> strain on maize growth parameters after 7 days of cultivation under saline conditions. (<b>A</b>) The growth of maize seedling, from leaf to right: uninoculated maize seedling growth under free salt, inoculated maize seedling with <span class="html-italic">P. simplex M1,</span> uninoculated maize seedling growth under NaHCO<sub>3</sub> stress, and inoculated maize seedling with <span class="html-italic">P. simplex M1</span> under NaHCO<sub>3</sub> stress; (<b>B</b>) chlorophyll content index; (<b>C</b>) leaf length; (<b>D</b>) leaf depth; (<b>E</b>) leaf dry weight; (<b>F</b>) root number; (<b>G</b>) root length; (<b>H</b>) root dry weight. E- represents uninoculated maize seedlings, E+ represents inoculated maize seedlings, E-ASS represents uninoculated maize seedlings irrigated with 400 mM NaHCO<sub>3</sub>, and E + ASS represents inoculated maize seedlings irrigated with 400 mM NaHCO<sub>3</sub>. The values represent the means of replicates (n = 4) ± standard deviations. Asterisks in superscript indicate a significant difference from the control at 95% between treatments. Each data point is the average of five replicates, and error bars represent ± SE. Error bars indicate ± SD. * Significance at <span class="html-italic">p</span> &lt; 0.05, ** Significance <span class="html-italic">p</span> &lt; 0.01, *** Significance <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Antioxidant enzyme activity determination in maize seeding. (<b>A</b>) MDA content; (<b>B</b>) POD activity; (<b>C</b>) SOD activity; (<b>D</b>) CAT activity; (<b>E</b>) superoxide anion; (<b>F</b>) H<sub>2</sub>O<sub>2</sub> content. (<b>G</b>) <span class="html-italic">CAT</span> relative expression; (<b>H</b>) <span class="html-italic">POD</span> relative expression; (<b>I</b>) <span class="html-italic">SOD</span> relative expression. * Significance at <span class="html-italic">p</span> &lt; 0.05, ** Significance <span class="html-italic">p</span> &lt; 0.01, *** Significance <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>A model for the mechanism underlying <span class="html-italic">P. simplex M1</span> promoted maize development. The <span class="html-italic">P. simplex M1</span> has the ability to fix atmospheric nitrogen, produce IAA, produce siderophore, and enhance the antioxidant enzyme activity. When the maize is inoculated with <span class="html-italic">P. simplex M1</span>, <span class="html-italic">P. simplex M1</span> can increase seed vigor and seedling development (root length, leave length, and so on), thereby promoting maize growth. When the maize was treated with NaHCO<sub>3</sub>, with the increase in ROS in plants, the activity of antioxidant enzymes caused by <span class="html-italic">P. simplex M1</span> also enhanced, which alleviated the saline–alkaline stress on plants.</p>
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13 pages, 1528 KiB  
Article
Experimental Performance Comparison of Proactive Routing Protocols in Wireless Mesh Network Using Raspberry Pi 4
by Dana Turlykozhayeva, Symbat Temesheva, Nurzhan Ussipov, Aslan Bolysbay, Almat Akhmetali, Sayat Akhtanov and Xiao Tang
Telecom 2024, 5(4), 1008-1020; https://doi.org/10.3390/telecom5040051 - 10 Oct 2024
Viewed by 935
Abstract
Nowadays, Wireless Mesh Networks (WMNs) are widely deployed in communication areas due to their ease of implementation, dynamic self-organization, and cost-effectiveness. The design of routing protocols is critical for ensuring the performance and reliability of WMNs. Although there have been numerous experimental works [...] Read more.
Nowadays, Wireless Mesh Networks (WMNs) are widely deployed in communication areas due to their ease of implementation, dynamic self-organization, and cost-effectiveness. The design of routing protocols is critical for ensuring the performance and reliability of WMNs. Although there have been numerous experimental works on WMNs in the past decade, only a few of them have been tested in real-world scenarios. This article presents a comparative analysis of three proactive routing protocols, OLSR, BATMAN, and Babel, using Raspberry Pi 4 devices. The evaluation, conducted at Al-Farabi Kazakh National University, covers both indoor and outdoor scenarios, focusing on key metrics such as bandwidth, Packet Delivery Ratio (PDR), and jitter. In outdoor scenarios, OLSR achieved the highest bandwidth at 2.9 Mbps, while BATMAN and Babel lagged. Indoor tests revealed that Babel initially outperformed with the highest bandwidth of 57.19 Mb/s but suffered from scalability issues, while BATMAN and OLSR exhibited significant declines in performance as network size increased. For PDR, BATMAN performed best with a decline from 100% to 42.8%, followed by OLSR with a moderate drop, and Babel with the greatest decrease. For jitter, OLSR showed the most stable performance, increasing from 0.281 ms to 2.58 ms at eleven nodes, BATMAN exhibited moderate increases, and Babel experienced the highest rise. Full article
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<p>WMN architecture.</p>
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<p>Sorting of WMN routing protocols.</p>
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<p>Raspberry Pi 4 Model B node (<b>a</b>) internal appearance and (<b>b</b>) external appearance.</p>
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<p>An indoor WMN testbed featuring orange nodes as endpoints and blue nodes as routers.</p>
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<p>Outdoor WMN testbed.</p>
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<p>Bandwidth (outdoor testbed).</p>
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<p>Bandwidth (indoor testbed).</p>
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<p>Packet Delivery Ratio.</p>
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<p>Jitter of 3 routing protocols.</p>
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19 pages, 2643 KiB  
Article
The Responses of Soil Extracellular Enzyme Activities and Microbial Nutrients to the Interaction between Nitrogen and Phosphorus Additions and Apoplastic Litter in Broad-Leaved Korean Pine Forests in Northeast China
by Liming Chen, Lixin Chen, Meixuan Chen, Yafei Wang and Wenbiao Duan
Forests 2024, 15(10), 1764; https://doi.org/10.3390/f15101764 - 8 Oct 2024
Viewed by 657
Abstract
The impact of nitrogen and phosphorus deposition alternations, as well as apoplastic litter quality and quantity, on soil nutrient cycling and soil carbon pool processes in forest ecosystems is of considerable importance. Soil ecological enzyme chemistry is a powerful tool for elucidating the [...] Read more.
The impact of nitrogen and phosphorus deposition alternations, as well as apoplastic litter quality and quantity, on soil nutrient cycling and soil carbon pool processes in forest ecosystems is of considerable importance. Soil ecological enzyme chemistry is a powerful tool for elucidating the nutrient limitations of microbial growth and metabolic processes. In order to explore the responding mechanisms of soil ecological enzyme chemistry to the simultaneous changes in apoplast input and nitrogen and phosphorus deposition in temperate coniferous and broad-leaved mixed forests, an outdoor simulating experiment was conducted. The results demonstrate that the treatments involving apoplastic material and nitrogen and phosphorus additions had significantly impacted soil nutrient levels across different forest types. Apoplastic treatments and N-P additions had a significant effect on the soil total organic carbon (TOC), dissolved organic carbon (DOC), soil total soluble nitrogen (TSN), soil available phosphorus (SAP), soil total nitrogen (TN), soil total phosphorus (TP), and microbial biomass carbon (MBC). However, the effects on soil microbial biomass (MBN) and microbial biomass phosphorus (MBP) were insignificant. The apomictic treatments with N and P addition did not result in a statistically significant change in soil C-hydrolase activities (β-1,4-glucosidase BG, β-1,4-xylosidase BX, cellobiohydrolase CBH, phenol oxidase POX, and peroxidase PER), N-hydrolase activities (β-1,4-N-acetylglucosaminidase NAG and L-leucine aminopeptidase LAP), or P-hydrolase activities (Acid phosphatase AP). Although the apomictic treatments did not yield a significant overall impact on carbon hydrolase activity, they influenced the activity of specific enzymes, such as CBH, LAP, and PER, to varying degrees. The effects on BG, BX, CBH, AP, and C-hydrolase activities were significant for different stand types. The impact of apomictic treatments and N-P additions on soil nitrogen hydrolase activities was inconsequential with a minimal interactive effect. The highest correlation between PER, LAP, and N-hydrolase activities was observed in conjunction with elevated levels of nitrogen and phosphorus addition (N3L0, original litter treatment, and high amounts of N and P addition). These findings may provide a theoretical foundation for the management of ecosystem function in broad-leaved Korean pine forests. Full article
(This article belongs to the Section Forest Soil)
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<p>Location of study area.</p>
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<p>Soil chemical properties under different levels of nitrogen and amounts of phosphorus addition (N0, N1, N2, and N3) and litter treatments (CK, RL, and AL) in broad-leaved Korean pine (<span class="html-italic">Pinus koraiensis</span>) forests. The values are shown as the means of three replicates (±SE). Different uppercase letters show significant differences among different litter treatments with the same N and P addition application rate, and different lowercase letters indicate significant differences among different N and P additions under the same litter treatment (<span class="html-italic">p</span> &lt; 0.05). No letter indicates that the difference is not significant. F = Korean pine plantation; I = broad-leaved Korean pine forest; (<b>A</b>) TOC = soil total organic carbon; (<b>B</b>) DOC = soil dissolve organic carbon; (<b>C</b>) TSN = soil total soluble nitrogen; (<b>D</b>) SAP = soil available phosphorus; (<b>E</b>) TN = soil total nitrogen; (<b>F</b>) TP = soil total phosphorus; (<b>G</b>) pH = soil PH.</p>
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<p>Soil microbial properties under different levels of nitrogen and phosphorus additions (N0, N1, N2, and N3) and litter treatments (CK, RL, and AL) in broad-leaved Korean pine (<span class="html-italic">Pinus koraiensis</span>) forests. The values are shown as the means of three replicates (±SE). Different uppercase letters show significant differences among different litter treatments with the same N and P addition application rate, and different lowercase letters indicate significant differences among different N and P additions under the same litter treatment (<span class="html-italic">p</span> &lt; 0.05). No letter indicates that the difference is not significant. I = broad-leaved Korean pine forest; F = Korean pine plantation; (<b>A</b>) MBC = soil microbial biomass carbon; (<b>B</b>) MBN = soil microbial biomass nitrogen; (<b>C</b>) MBP = soil microbial biomass phosphorus.</p>
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<p>Soil enzyme activities under different levels of nitrogen and phosphorus additions (N0, N1, N2, and N3) and litter treatments (CK, RL, and AL) in broad-leaved Korean pine (<span class="html-italic">Pinus koraiensis</span>) forests. The values are shown as the means of three replicates (±SE). Different uppercase letters show significant differences among different litter treatments with the same N and P addition application rates, and different lowercase letters indicate significant differences among different N and P additions under the same litter treatment (<span class="html-italic">p</span> &lt; 0.05). No letter indicates that the difference is not significant. I = broad-leaved Korean pine forest; F = Korean pine plantation; (<b>A</b>) BG = β-1,4-glucosidase; (<b>B</b>) BX = β-1,4-xylosidase; (<b>C</b>) CBH = cellobiohydrolase; (<b>D</b>) LAP = L-leucine aminopeptidase; (<b>E</b>) NAG = β-1,4-N-acetylglucosaminidase; (<b>F</b>) AP = acid phosphatase; (<b>G</b>) PEROX = peroxidase; (<b>H</b>) PHOX = phenol oxidase; (<b>I</b>) C-degrading enzymes; (<b>J</b>) N-degrading enzymes.</p>
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<p>The results of the principal component analysis (PCA) based on soil extracellular enzyme activities under different levels of nitrogen and phosphorus (N0, N1, N2, and N3) and litter treatments (CK, RL, and AL) (L0, L1, and L2) in the broad-leaved Korean pine forest. Different colors and capital letters represent different treatment combinations. BG = β-1,4-glucosidase; BX = β-1,4-xylosidase; CBH = cellobiohydrolase; NAG = β-1,4-N-acetylglucosaminidase; LAP = L-leucine aminopeptidase; PEROX = peroxidase; PHOX = phenol oxidase; AP = acid phosphatase; C- = degrading enzymes (BG + BX + CBH + PEROX + PHOX); N- = degrading enzymes (NAG + LAP).</p>
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