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16 pages, 22800 KiB  
Article
Integration of ATAC-Seq and RNA-Seq Reveals VDR–SELENBP1 Axis Promotes Adipogenesis of Porcine Intramuscular Preadipocytes
by Jiawei Zhou, Junjing Wu, Tao Yang, Xinyu Zhang, Mu Qiao, Zhong Xu, Yu Zhang, Yue Feng, Tong Chen, Zipeng Li, Xianwen Peng and Shuqi Mei
Int. J. Mol. Sci. 2024, 25(23), 12528; https://doi.org/10.3390/ijms252312528 (registering DOI) - 22 Nov 2024
Abstract
Intramuscular fat (IMF) content plays a crucial role in determining pork quality. Recent studies have highlighted transcriptional mechanisms controlling adipogenesis in porcine IMF. However, the changes in chromatin accessibility during adipogenic differentiation are still not well understood. In this study, we performed the [...] Read more.
Intramuscular fat (IMF) content plays a crucial role in determining pork quality. Recent studies have highlighted transcriptional mechanisms controlling adipogenesis in porcine IMF. However, the changes in chromatin accessibility during adipogenic differentiation are still not well understood. In this study, we performed the assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) and transcriptome sequencing (RNA-Seq) analyses on porcine intramuscular preadipocytes to explore their adipogenic differentiation into mature adipocytes. We identified a total of 56,374 differentially accessible chromatin peaks and 4226 differentially expressed genes at day 0 and day 4 during adipogenic differentiation. A combined analysis of the ATAC-seq and RNA-seq data revealed that 1750 genes exhibited both differential chromatin accessibility and differential RNA expression during this process, including selenium-binding protein 1 (SELENBP1), PLIN1, ADIPOQ, and FASN. Furthermore, we found that vitamin D receptor (VDR) could bind to the promoter region of the SELENBP1 gene, activate SELENBP1 transcription, and ultimately promote lipid accumulation during adipogenic differentiation. This study provides a detailed overview of chromatin accessibility and gene expression changes during the adipogenic differentiation of porcine intramuscular preadipocytes. Moreover, we propose a novel regulatory mechanism involving the VDR–SELENBP1 signaling axis in adipogenic differentiation. Full article
(This article belongs to the Section Molecular Biology)
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Figure 1

Figure 1
<p>Induction of adipogenic differentiation of porcine intramuscular preadipocytes. (<b>A</b>) BODIPY and (<b>B</b>) Oil Red O staining of the preadipocytes at 0, 2, 4, 6, and 8 days of differentiation. (<b>C</b>) <span class="html-italic">PPARγ</span>, <span class="html-italic">C</span>/<span class="html-italic">EBPα</span>, <span class="html-italic">ADIPOQ</span>, and <span class="html-italic">PLIN1</span> mRNA levels in the preadipocytes during differentiation. ** <span class="html-italic">p</span> &lt; 0.01, ns = non-significant.</p>
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<p>Overview of the ATAC-seq results. (<b>A</b>) The results of Pearson correlation analysis. (<b>B</b>) Fragment length distribution map. (<b>C</b>) A heatmap of the peak signals across the gene body of the library; ±3.0 represents upstream and downstream of the TSS. (<b>D</b>) Genomic distribution of the peaks in each sample.</p>
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<p>Identification and analysis of differentially accessible chromatin regions (DARs). (<b>A</b>) Diagram illustrates the overlap of peaks between the preadipocyte (Pread) and adipocyte (Ad) groups. (<b>B</b>) A volcano plot of differential peaks. (<b>C</b>) GO terms and (<b>D</b>) KEGG pathway enrichment analysis of DAR-associated genes. (<b>E</b>) Enriched transcription-factor-binding motifs identified through ATAC-seq for increased peaks between the Pread and Ad groups, and (<b>F</b>) motifs associated with the decreased peaks. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Analyses of RNA-seq. (<b>A</b>) The results of Pearson correlation analysis. (<b>B</b>) A volcano plot of DEGs. (<b>C</b>) GO terms and (<b>D</b>) KEGG enrichment analyses of DEGs.</p>
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<p>Integrative analyses of ATAC-seq and RNA-seq data. (<b>A</b>) Overlap between DARs and DEGs. (<b>B</b>) ATAC-seq and RNA-seq signals for <span class="html-italic">PLIN1</span>, (<b>C</b>) <span class="html-italic">ADIPOQ</span>, and (<b>D</b>) <span class="html-italic">SELENBP1</span> genes were determined through IGV. (<b>E</b>) The <span class="html-italic">SELENBP1</span> mRNA level in porcine intramuscular preadipocytes at 0, 2, 4, 6, and 8 days of adipogenic differentiation. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p><span class="html-italic">SELENBP1</span> promotes adipogenesis of porcine intramuscular preadipocytes. (<b>A</b>) The mRNA expression levels of <span class="html-italic">SELENBP1</span>, (<b>B</b>) <span class="html-italic">PPARγ</span>, (<b>C</b>) <span class="html-italic">ADIPOQ</span>, and (<b>D</b>) <span class="html-italic">PLIN1</span> at 2, 4, 6, and 8 days of adipogenic differentiation following siRNA-SELENBP1 transfection into porcine intramuscular preadipocytes. (<b>E</b>) <span class="html-italic">SELENBP1</span>, <span class="html-italic">PPARγ</span>, <span class="html-italic">ADIPOQ</span>, and <span class="html-italic">PLIN1</span> protein levels following siRNA-SELENBP1 transfection into preadipocytes at 4 days. (<b>F</b>) BODIPY and (<b>G</b>) Oil Red O staining after siRNA-SELENBP1 transfection into preadipocytes at 4 days. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Identification of binding of VDR to <span class="html-italic">SELENBP1</span> promoter regions. (<b>A</b>) Luciferase assays were performed to detect the activities of a series of deletion constructs in porcine intramuscular preadipocytes. Luciferase activity was analyzed at 4 days after adipogenic differentiation. (<b>B</b>) JASPAR software (v2024) predicted the transcription-factor-binding sites located −302 bp to −59 bp upstream of the <span class="html-italic">SELENBP1</span> transcription start site. (<b>C</b>) Point mutations in the PAX6, VDR, NR4A1, and E2F1 binding sites of the <span class="html-italic">SELENBP1</span> promoter were analyzed through luciferase assays. (<b>D</b>) ChIP-qPCR results demonstrated that VDR could bind to the <span class="html-italic">SELENBP1</span> promoter region in porcine intramuscular preadipocytes at 4 days of differentiation. IgG was used as negative controls. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>VDR promotes adipogenesis of porcine intramuscular preadipocytes by regulating <span class="html-italic">SELENBP1</span>. (<b>A</b>) <span class="html-italic">VDR</span>, <span class="html-italic">SELENBP1</span>, <span class="html-italic">PPARγ</span>, <span class="html-italic">ADIPOQ</span>, and <span class="html-italic">PLIN1</span> mRNA levels following siRNA-VDR transfection into porcine intramuscular preadipocytes at 4 days. (<b>B</b>) VDR, SELENBP1, PPARγ, and PLIN1 protein levels following siRNA-VDR transfection into preadipocytes at 4 days. (<b>C</b>) BODIPY and (<b>D</b>) Oil Red O staining of preadipocytes after siRNA-VDR transfection of porcine intramuscular preadipocytes at 4 days. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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18 pages, 4870 KiB  
Article
Origin, Migration, and Accumulation of Crude Oils in the Chaoyang Step-Fault Zone, Fushan Depression, Beibuwan Basin: Insight from Geochemical Evidence and Basin Modeling
by Yang Shi, Hao Guo, Xiaohan Li, Huiqi Li, Meijun Li, Xin Wang, Surui Dong and Xi He
Energies 2024, 17(23), 5842; https://doi.org/10.3390/en17235842 - 21 Nov 2024
Abstract
The Fushan Depression is a hydrocarbon-rich depression in the Beibuwan Basin, South China Sea. In this study, 14 source rocks and 19 crude oils from the Chaoyang Step-Fault Zone and Southern Slope Zone were geochemically analyzed to determine their origins. The hydrocarbon generation, [...] Read more.
The Fushan Depression is a hydrocarbon-rich depression in the Beibuwan Basin, South China Sea. In this study, 14 source rocks and 19 crude oils from the Chaoyang Step-Fault Zone and Southern Slope Zone were geochemically analyzed to determine their origins. The hydrocarbon generation, migration, and accumulation processes were also determined using two-dimensional basin modeling. Crude oils from the low-step area show a close relationship with the source rocks of the first and second members of the Eocene Liushagang Formation (Els1 and Els2). The oils from the middle-step area and the Southern Slope Zone are derived from the local source rocks in those areas, in the third member of the Eocene Liushagang Formation (Els3). Hydrocarbons generated from the Els3 source rocks of the Southern Slope Zone migrated along sand bodies to the Els3 reservoir. The fault system of the Chaoyang Step-Fault Zone controls hydrocarbon migration and accumulation in the low-step and middle-step areas. The resource potential of the middle-step area is limited by its shallow burial depth. The low-step area is a more favorable exploration area due to its proximity to the source kitchen. Full article
15 pages, 2008 KiB  
Article
Effects of Diverse Crop Rotation Sequences on Rice Growth, Yield, and Soil Properties: A Field Study in Gewu Station
by Ruiping Yang, Yu Shen, Xiangyi Kong, Baoming Ge, Xiaoping Sun and Mingchang Cao
Plants 2024, 13(23), 3273; https://doi.org/10.3390/plants13233273 - 21 Nov 2024
Abstract
This long-term field study conducted in Yancheng, China, evaluated the effects of diverse crop rotation sequences on rice growth, yield, and soil properties. Six rotation treatments were implemented from 2016 to 2023 as follows: rice–wheat (control), rice––rape, rice–hairy vetch, rice–barley, rice–faba bean, and [...] Read more.
This long-term field study conducted in Yancheng, China, evaluated the effects of diverse crop rotation sequences on rice growth, yield, and soil properties. Six rotation treatments were implemented from 2016 to 2023 as follows: rice–wheat (control), rice––rape, rice–hairy vetch, rice–barley, rice–faba bean, and rice–winter fallow. Rice growth parameters, yield components, biomass accumulation, and soil properties were measured. Results showed that legume-based rotations, particularly rice–faba bean and rice–hairy vetch, significantly improved rice growth and yield compared to the rice–wheat control. The rice–faba bean rotation increased yield by 19.1% to 8.73 t/ha compared to 7.33 t/ha for the control, while rice–hairy vetch increased yield by 11.9% to 8.20 t/ha. These rotations also demonstrated higher biomass production efficiency, with increases of 33.33% and 25.00%, respectively, in spring crop biomass. Soil nutrients improvements were observed, particularly in available nitrogen, potassium, and electrical conductivity. Legume-based rotations increased the available nitrogen by up to 35.9% compared to the control. The study highlights the potential of diversified crop rotations, especially those incorporating legumes, to enhance rice productivity and soil health in subtropical regions. These findings have important implications for developing sustainable and resilient rice-based cropping systems to address challenges of food security and environmental sustainability in the face of climate change and resource constraints. Full article
(This article belongs to the Special Issue Effects of Conservation Tillage on Crop Cultivation and Production)
19 pages, 1458 KiB  
Article
Early Response of the Populus nigra L. × P. maximowiczii Hybrid to Soil Enrichment with Metals
by Monika Gąsecka, Kinga Drzewiecka, Zuzanna Magdziak, Włodzimierz Krzesiński, Jędrzej Proch and Przemysław Niedzielski
Int. J. Mol. Sci. 2024, 25(23), 12520; https://doi.org/10.3390/ijms252312520 - 21 Nov 2024
Abstract
This study aimed to investigate the response of Populus nigra L. × Populus maximowiczii to the addition of selected metals in soil. Rooted cuttings were planted in pots containing soil enriched with equimolar concentrations of Pb, Zn, Al, Ni, and Cu (500 mL [...] Read more.
This study aimed to investigate the response of Populus nigra L. × Populus maximowiczii to the addition of selected metals in soil. Rooted cuttings were planted in pots containing soil enriched with equimolar concentrations of Pb, Zn, Al, Ni, and Cu (500 mL of 4 mM solutions of single metal salts: (Pb(NO3)2; Zn(NO3)2 × 6H2O; Al(NO3)3 × 9H2O; Ni(NO3)2 × 6H2O; or Cu(NO3)2 × 3H2O). Growth parameters, metal accumulation, and physiological and biochemical parameters were assessed after four weeks of cultivation, simulating early response conditions. The results showed diverse metal accumulation in poplar organs, along with an increase in biomass and minor changes in gas exchange parameters or chlorophyll fluorescence. Among low-molecular-weight organic acids, citric and succinic acids were dominant in the rhizosphere, and roots with malonic acid were also present in the shoots. Only p-coumaric acid was found in the phenolic profile of the roots. The shoots contained both phenolic acids and flavonoids, and their profile was diversely modified by particular metals. Sucrose and fructose content increased in shoots that underwent metal treatments, with glucose increasing only in Cu and Al treatments. Principal component analysis (PCA) revealed variations induced by metal treatments across all parameters. Responses to Pb and Zn were partially similar, while Cu, Ni, or Al triggered distinct reactions. The results indicate the adaptation of P. nigra L. × P. maximowiczii to soil containing elevated levels of metals, along with potential for soil remediation and metal removal. However, further studies are needed to evaluate the effect of differences in early responses to particular metals on plant conditions from a long-term perspective. Full article
(This article belongs to the Section Molecular Plant Sciences)
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Figure 1
<p>Characterization of <span class="html-italic">Populus nigra</span> L. <span class="html-italic">× P. maximowiczii</span> hybrid biomass (<b>A</b>) and shoots length (<b>B</b>) after 4 weeks of growth in soil enriched with selected metal salts. n = 3; identical superscripts (a, b, c, …) denote non-significant differences between means according to the post hoc Newman–Keuls test.</p>
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<p>Separated groups based on PCA analysis for (<b>A</b>) all parameters, (<b>B</b>) minerals, (<b>C</b>) biomass, (<b>D</b>) chlorophyll fluorescence and gas exchange, (<b>E</b>) sugars, low−molecular−weight organic acids (LMWOAs), and phenolic compounds.</p>
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15 pages, 1818 KiB  
Article
Unraveling the Anthocyanin Regulatory Mechanisms of White Mutation in Verbena stricta by Integrative Transcriptome and Metabolome Analysis
by Shengyue Chai, Jiaming Yang, Xiaofei Zhang, Xuwen Shang and Lixin Lang
Genes 2024, 15(12), 1496; https://doi.org/10.3390/genes15121496 - 21 Nov 2024
Abstract
Background: Verbena stricta is a perennial herb of the Verbenaceae family, known for its medicinal properties, wide adaptability, and high resistance. Methods: This research investigated the metabolic pathways of flower color change by combining transcriptome and metabolomics analyses. Results: In [...] Read more.
Background: Verbena stricta is a perennial herb of the Verbenaceae family, known for its medicinal properties, wide adaptability, and high resistance. Methods: This research investigated the metabolic pathways of flower color change by combining transcriptome and metabolomics analyses. Results: In purple flowers and white variants, a total of 118 differentially accumulated metabolites (DAMs), including 20 anthocyanins, and 7627 differentially expressed genes (DEGs) were found. The downregulation of delphinidin-3-O-galactoside, delphinidin-3-O-glucoside, and delphinidin-3-O-(6″-O-p-coumaroyl) glucoside, along with the absence of petunidin and malvidin derivatives, may explain the loss of pigmentation in the white-flower mutant. Fourteen candidate genes involved in anthocyanin biosynthesis were identified, among which the expression of Flavonoid 3′, 5′-hydroxylase (F3′5′H) was significantly downregulated, notably limiting flux through the delphinidin pathway and reducing delphinidin accumulation. This limitation in upstream reactions, coupled with the multi-shunt process in downstream reactions, completely blocked the production of petunidin and malvidin. Conclusions: These findings offer new opinions on the anthocyanin metabolites and key genes responsible for the floral pigmentation in V. stricta. Additionally, the white variant provides a valuable platform for future research into the ornamental flower color of the Verbenaceae family. Full article
(This article belongs to the Special Issue 5Gs in Crop Genetic and Genomic Improvement: 2nd Edition)
15 pages, 2976 KiB  
Article
Foliar Biofortification of Maize (Zea mays L.) with Selenium: Effects of Compound Type, Application Rate, and Growth Stage
by Tomáš Mrština, Lukáš Praus, Jiřina Száková, Lukáš Kaplan and Pavel Tlustoš
Agriculture 2024, 14(12), 2105; https://doi.org/10.3390/agriculture14122105 - 21 Nov 2024
Abstract
Nowadays, attention is focused on the lack of selenium in the average diet, which is a highly valued element in the body’s antioxidant system. The major metabolites of selenium are selenoproteins, which have an irreplaceable function in the body. This study focused on [...] Read more.
Nowadays, attention is focused on the lack of selenium in the average diet, which is a highly valued element in the body’s antioxidant system. The major metabolites of selenium are selenoproteins, which have an irreplaceable function in the body. This study focused on optimizing conditions for the biofortification of maize (Zea mays L.) with selenium (Se). Three separate pot experiments were conducted to identify the key factors influencing the efficacy of foliar selenium application. The experiments were designed to investigate the effects of different forms of selenium (selenite, selenate, and selenium nanoparticles) on maize development, the influence of the phenological stage of maize at the time of foliar Se application, and the optimal application rate of Se (100, 150, 200, or 250 µg). The results indicated that sodium selenate without a wetting agent was the most effective form for enhancing total Se content in maize, with the greatest accumulation being in leaves (3.01 mg/kg dry matter). Phenological stages (BBCH) 51 and 60 were identified as the most suitable phenological stages for Se application in terms of total Se content about 1 mg/kg in leaves and about 0.4 mg/kg in grain and the presence of organic Se compounds (mostly selenate ion and selenomethionine). We concluded from the study that a foliar application of 200 µg of sodium selenate per pot during these stages resulted in maximum Se uptake without adversely affecting plant yield. Further research is recommended to validate these findings under field conditions, paving the way for improved agricultural practices in selenium biofortification. Full article
(This article belongs to the Section Crop Production)
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Figure 1
<p>Yield of maize plant parts after application of different Se forms. Different lowercase letters indicate a statistically significant differences among the treatments according to a one-way analysis of variance (<span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 4).</p>
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<p>Total selenium content in parts of maize after application of different Se forms. Different lowercase letters indicate statistically significant differences among the treatments by a one-way analysis of variance (<span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 4).</p>
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<p>Yields of maize parts after the application of Se in different phenological phases. Different lowercase letters indicate statistically significant differences among the treatments by a one-way analysis of variance (<span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 4).</p>
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<p>Contents of total selenium in maize parts (<span class="html-italic">Zea mays</span> L.) after application of Se in different phenological phases. Different lowercase letters indicate statistically significant differences among treatments according to a one-way analysis of variance (<span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 4).</p>
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<p>Yields of maize (<span class="html-italic">Zea mays</span> L.) parts after the application of different Se concentrations. Different lowercase letters indicate statistically significant differences among the treatments according to a one-way analysis of variance (<span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 4).</p>
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<p>Content of total selenium in maize parts (<span class="html-italic">Zea mays</span> L.) after the application of different concentrations of Se. Different lowercase letters indicate a statistically significant differences among the treatments according to the one-way analysis of variance (<span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 4).</p>
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<p>Regression curve slopes modelling the relationship between the applied Se dose and Se content in maize leaf.</p>
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<p>Regression curve slopes modelling the relationship between the applied Se dose and Se content in maize grain.</p>
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<p>Regression curve slopes modelling the relationship between the applied Se dose and Se content in maize stover.</p>
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12 pages, 3391 KiB  
Article
The Transcription Factor BrNAC19 Acts as a Positive Regulator of the Heat Stress Response in Chinese Cabbage
by Shuai Yuan, Xiaoping Yong, Yuxin Lu, Yuxin Lei, Weijian Li, Qiuli Shi and Xiuhong Yao
Horticulturae 2024, 10(12), 1236; https://doi.org/10.3390/horticulturae10121236 - 21 Nov 2024
Abstract
The frequent occurrence of excessive heat events driven by global warming poses a great threat to plant growth and food security. To survive in heat stress (HS) environments, plants have evolved sophisticated response mechanisms, and the transcriptional network that controls the expression levels [...] Read more.
The frequent occurrence of excessive heat events driven by global warming poses a great threat to plant growth and food security. To survive in heat stress (HS) environments, plants have evolved sophisticated response mechanisms, and the transcriptional network that controls the expression levels of HS-inducible genes serves as an essential component of this process. NAC (NAM, ATAF1/2, and CUC2) transcription factors (TFs) play key regulatory roles in the abiotic stress responses of plants. However, the functional roles of NAC TFs in the heat stress response of Chinese cabbage remain elusive. In the present study, we identified the Brassica rapa NAC family transcription factor BrNAC19 as a close homologue of Arabidopsis NAC019 and found that it serves as a positive regulator of the HS response. BrNAC19 displayed inducible gene expression in response to HS, and its subcellular localization showed that it was localized in the nucleus. Heterologous expression of BrNAC19 significantly enhanced the heat tolerance of plants and reduced the accumulation of reactive oxygen species (ROS) under HS conditions. Furthermore, our results demonstrated that BrNAC19 directly targeted and promoted the expression of superoxide dismutase 1 (CSD1) and catalase 2 (CAT2), two antioxidant-enzyme coding genes in Chinese cabbage. Altogether, our results suggest that BrNAC19 enhances heat stress tolerance by positively regulating the expression of genes involved in the HS response and ROS scavenging and exhibits potential as a target gene in Chinese cabbage breeding to increase heat stress tolerance. Full article
(This article belongs to the Special Issue Vegetable Genomics and Breeding Research)
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<p>Heat-induced gene expression, homology analysis, and subcellular localization of <span class="html-italic">Bra018998</span>. (<b>A</b>) RT-qPCR detected the expression levels of <span class="html-italic">Bra018998</span> in the root, shoot apical meristems (SAM), and leaf of Chinese cabbage after high temperature exposure. Two-week-old Chinese cabbage seedlings grown under normal conditions were transferred to high temperature (43 °C) for the indicated time and then harvested for RNA extraction. The expression level of <span class="html-italic">Bra018998</span> in the roots at 0 h was set to one. Data are represented as the mean ± standard deviation (SD) of three biological replicates. (<b>B</b>) Phylogenetic analysis of Bra018998 with its orthologous genes based on their amino acid sequences. (<b>C</b>) Protein sequence multiple alignment of Bra018998 with its orthologous genes in other plant species. (<b>D</b>) Subcellular localization of Bra018998 in <span class="html-italic">N. benthamiana</span> leaf epidermis cells. Scale bars, 50 μm. The letters ‘a’ to ‘e’ above the bars indicate statistically significant differences between samples, and the presence of same letters between two groups indicates no significant differences (two-way ANOVA with Tukey’s post hoc test; <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Overexpression of <span class="html-italic">BrNAC19</span> enhances plants thermotolerance in Arabidopsis. (<b>A</b>) Phenotypes of wild type (Col-0) and <span class="html-italic">BrNAC19-OE</span> seedlings in the basal thermotolerance assay (43 °C for 22 min and recovery at 22 °C for 5 days). The scale bar indicates 2 mm. 1# and 3# represent the numbering of different transgenic lines. (<b>B</b>) Survival rates of Col-0 and <span class="html-italic">BrNAC19-OE</span> seedlings in the basal thermotolerance assay. (<b>C</b>) Chlorophyll contents of the seedlings indicated in (<b>A</b>). (<b>D</b>) Electrolyte leakage assay of the seedlings indicated in (<b>A</b>). Data are presented as the mean ± standard deviation (SD) of three biological replicates. Significant differences compared with the wild type at same condition are noted (student’s <span class="html-italic">t</span>-test, *** <span class="html-italic">p</span> &lt; 0.001; ns indicates no significance).</p>
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<p>BrNAC19 promotes the expression of key regulators of HS response. (<b>A</b>–<b>F</b>) RT-qPCR detected the expression levels of <span class="html-italic">CSD1</span>, <span class="html-italic">CSD2</span>, <span class="html-italic">CAT1</span>, <span class="html-italic">CAT2</span>, <span class="html-italic">HSF3,</span> and <span class="html-italic">HSFA1d</span> in the indicated genotypes under different conditions. The expression level of each gene in Col-0 at 22 °C was set to one. All data are presented as means ± SD from three biological replicates. Significant differences compared with the wild type under the same conditions are noted (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).</p>
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<p><span class="html-italic">BrNAC19-OE</span> rescues the ROS accumulation caused by HS. (<b>A</b>,<b>B</b>) Histochemical analysis of the generation of H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub><sup>−</sup> by staining with DAB and NBT in WT and <span class="html-italic">BrNAC19-OE</span> plants. Brown precipitation and blue spots represent the presence of H<sub>2</sub>O<sub>2</sub> (<b>A</b>) and O<sub>2</sub><sup>−</sup> (<b>B</b>), respectively. (<b>C</b>,<b>D</b>) The levels of H<sub>2</sub>O<sub>2</sub> (<b>C</b>) and O<sub>2</sub><sup>−</sup> (<b>D</b>) in WT and <span class="html-italic">BrNAC19-OE</span> plants. Data are presented as the mean ± standard deviation (SD) of three biological replicates. The letters ‘a’ to ‘d’ above the bars indicate statistically significant differences between samples, and the presence of the same letters between two groups indicates no significant differences (two-way ANOVA with Tukey’s post hoc test; <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>BrNAC19 directly induces the expression of <span class="html-italic">BrCSD1</span> and <span class="html-italic">BrCAT2</span>. (<b>A</b>) Schematic diagram of the binding sites in the <span class="html-italic">BrCSD1</span> and Br<span class="html-italic">CAT2</span> promoters, with the electrophoretic mobility shift assay (EMSA) probe sequences shown below the diagram. Red letters represent the NAC-binding site and mutation site. (<b>B</b>) EMSA revealed that BrNAC19 bound to the NAC-binding sites of the <span class="html-italic">BrCSD1</span> and Br<span class="html-italic">CAT2</span> promoters. The notation 2X indicates a twofold amount of glutathione S-transferase (GST)-BrNAC19 protein, and the probe sequence is shown in panel A. (<b>C</b>) Yeast one-hybrid (Y1H) assay revealed that BrNAC19 activates the <span class="html-italic">BrCSD1</span> and Br<span class="html-italic">CAT2</span> promoters. (<b>D</b>) Dual-luciferase assays indicated that BrNAC19 positively modulates transcription of <span class="html-italic">BrCSD1</span> and <span class="html-italic">BrCAT2</span> after heat shock. Data are presented as the mean ± standard deviation (SD) of three biological replicates (student’s <span class="html-italic">t</span>-test, *** <span class="html-italic">p</span> &lt; 0.001; ns indicates no significance).</p>
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19 pages, 8590 KiB  
Article
Preharvest Application of Exogenous 2,4-Epibrassinolide and Melatonin Enhances the Maturity and Flue-Cured Quality of Tobacco Leaves
by Kesu Wei, Jiayi Tang, Lei Yang, Shaopeng Chen, Zhijun Cheng, Yijun Yang, Chen Xu, Shengjiang Wu, Yuhang Zhao, Hongmei Di, Ling Li, Dongyang Sun, Jianwei Li and Bo Sun
Plants 2024, 13(23), 3266; https://doi.org/10.3390/plants13233266 - 21 Nov 2024
Abstract
Tobacco (Nicotiana tabacum) is a globally cultivated crop, with its quality closely associated with the color and chemical composition of cured tobacco leaves. In this experiment, the effects of spraying exogenous 2, 4-epibrassinolide (EBR) and melatonin (MT) on the development of [...] Read more.
Tobacco (Nicotiana tabacum) is a globally cultivated crop, with its quality closely associated with the color and chemical composition of cured tobacco leaves. In this experiment, the effects of spraying exogenous 2, 4-epibrassinolide (EBR) and melatonin (MT) on the development of tobacco leaves at maturity stage and the quality after curing were investigated. Both EBR and MT treatments significantly enhanced the appearance quality of tobacco leaves at the stem-drying stage. Following preharvest applications, the sugar-to-alkali ratio and potassium content increased, while the contents of starch, total alkaloids, and proteins decreased. The levels of conventional chemical components were improved, enhancing the overall coordination of the tobacco. Transcriptome analysis revealed that EBR treatment down-regulated the chlorophyll biosynthetic genes hemA, MgPEC, and ChlD, while up-regulating the chlorophyll degradation genes CHL2, SGR, and PAOs. Similarly, MT treatment down-regulated the chlorophyll biosynthetic genes FC2 and MgPEC and up-regulated the degradation genes CHL2 and SGR, thus promoting chlorophyll degradation. Furthermore, in the downstream carotenoid biosynthetic pathway, both EBR and MT treatments regulated abscisic acid-related genes, with NCEDs being up-regulated and CYP707A1s down-regulated, thereby promoting the leaf ripening. Metabolomics analysis indicated that EBR treatment primarily regulated alkaloids, terpenoids, and flavonoids, while MT treatment mainly affected flavonoids. Both treatments also reduced the accumulation of the harmful substance aristolochic acid B. Comprehensive evaluations of appearance quality, physiological parameters, transcriptome, and metabolomics analyses demonstrated that exogenous spraying of EBR and MT treatments improved the maturity and quality of cured tobacco leaves, with EBR treatment exhibiting a greater effect than MT treatment. Full article
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<p>Tobacco during curing stage. (<b>A</b>) The appearance of tobacco during curing stage; (<b>B</b>) The appearance quality evaluation of tobacco leaves at stem-drying stage. EBR, tobacco leaves of EBR-treated; MT, tobacco leaves of MT-treated.</p>
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<p>Pigment content of tobacco leaves during curing stage. (<b>A</b>) Chlorophyll a; (<b>B</b>) Chlorophyll b; (<b>C</b>) Chlorophyll; (<b>D</b>) Carotenoids. EBR, tobacco leaves of EBR-treated; MT, tobacco leaves of MT-treated; F, fresh leaves; Y, yellowing stage; C, color fixing stage; D, stem-drying stage. “a, b, c” in the table mean significant difference among different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Physiological parameters of tobacco leaves during curing stage. (<b>A</b>) Moisture content; (<b>B</b>) Starch; (<b>C</b>) Total sugar; (<b>D</b>) Reducing sugar; (<b>E</b>) Total alkaloid; (<b>F</b>) Sugar-to-alkali ratio; (<b>G</b>) Protein; (<b>H</b>) Chlorinity; (<b>I</b>) Potassium; (<b>J</b>) Chlorogenic acid. EBR, tobacco leaves of EBR-treated; MT, tobacco leaves of MT-treated; F, fresh leaves; Y, yellowing stage; C, color fixing stage; D, stem-drying stage. “a, b” in the table mean significant difference among different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Analysis of gene expression level in transcriptome of fresh tobacco leaves. (<b>A</b>) Co-expression Venn diagram; (<b>B</b>) Number of differential genes; (<b>C</b>) Gene ontology (GO) enrichment analysis of differentially expressed genes (DEGs) in EF/WF; (<b>D</b>) GO enrichment analysis of DEGs in MF/WF; (<b>E</b>) Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of DEGs in EF/WF; (<b>F</b>) KEGG enrichment analysis of DEGs in MF/WF. WF, fresh tobacco leaves of control; EF, fresh tobacco leaves of EBR-treated; MF, fresh tobacco leaves of MT-treated.</p>
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<p>The expression of differentially expressed genes (DEGs) in pigment pathway. (<b>A</b>) The expression of DEGs in Porphyrin and chlorophyll metabolism pathway; (<b>B</b>) The expression of DEGs in Carotenoid biosynthesis pathway. EBR, tobacco leaves of EBR-treated; MT, tobacco leaves of MT-treated. “a, b, c” in the table mean significant difference among different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Metabolomic analysis of tobacco leaves at stem-drying stage. (<b>A</b>) Metabolite classification; (<b>B</b>) Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of metabolites; (<b>C</b>) Partial least squares discriminant analysis (PLS-DA) plot; (<b>D</b>) Clustering analysis of differentially abundant metabolites (DAMs) in ED/WD; (<b>E</b>) Clustering analysis of DAMs in MD/WD. WD, tobacco leaves of control at stem-drying stage; ED, tobacco leaves of EBR-treated at stem-drying stage; MD, tobacco leaves of MT-treated at stem-drying stage.</p>
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<p>Analysis of co-expressed differentially abundant metabolites (DAMs). (<b>A</b>) Co-expression Venn diagram; (<b>B</b>) Cluster analysis of co-expressed DAMs.</p>
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<p>Correlation analysis between co-expressed differentially abundant metabolites (DAMs) and pigment genes. The octagonal is DAMs, the square is the pigment gene.</p>
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<p>Physiological and molecular regulatory mechanisms by which exogenous 2,4-epibrassinolide and melatonin application enhances tobacco maturity and flue-cured quality. The red arrows indicate increases, while the blue arrows signify decreases in the levels of various substances and gene expression. The green box indicates the effective regulation of EBR treatment, the orange box indicates the effective regulation of MT treatment, and the green and orange mixed boxes indicate that both EBR and MT regulation are effective.</p>
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20 pages, 3353 KiB  
Article
Trace Elements in Lakes Located in an Agricultural-Forest Catchment: A Case Study of Lake Raczyńskie, Poland
by Katarzyna Wiatrowska, Jolanta Kanclerz and Ewelina Janicka
Water 2024, 16(23), 3342; https://doi.org/10.3390/w16233342 - 21 Nov 2024
Abstract
The enrichment of bottom sediments with trace elements due to anthropogenic factors is of growing concern worldwide. With the development of industry, agriculture, and urbanization, the risk of freshwater contamination with trace elements is increasing. As trace elements are poorly soluble in water, [...] Read more.
The enrichment of bottom sediments with trace elements due to anthropogenic factors is of growing concern worldwide. With the development of industry, agriculture, and urbanization, the risk of freshwater contamination with trace elements is increasing. As trace elements are poorly soluble in water, they have a tendency to accumulate in bottom sediments. The study focused on the evaluation of the trace element contents in the surface layer of bottom sediments of Lake Raczyńskie, located in Poland, and assessing the risks posed by these sediments. The pollution of bottom sediments was estimated based on the index of the geo-accumulation (Igeo), enrichment factor (EF), Nemerow multi-factor index (Pn), and pollution load index (PLI). The assessment of environmental risk was evaluated by the potential ecological risk index (RI) and mean PEL quotient method. The results obtained showed that the average contents of Cd, Cu, Ni, Pb, and Zn exceeded the national geochemical background values (Bn), indicating possible enrichment of bottom sediments due to human activity. Only for Mn were the observed contents below the Bn. This evaluation was confirmed by the PLI and Pn values, which indicated sediment pollution from anthropogenic sources. However, the risk assessment by RI and mean PEL showed a low risk of contamination. The results of principal component analysis (PCA) and values of Igeo and EF suggested that Cd, Cu, Mn, and Zn mainly originate from geogenic sources, while Ni and Pb probably come from an unrecognized anthropogenic source. The distribution of Cd, Mn, and Ni depended on the contents of silt and clay fractions. Additionally, organic carbon influenced Cu, Mn, Ni, and Zn contents in bottom sediments. Full article
(This article belongs to the Section Water Quality and Contamination)
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<p>Sampling points in the study area with structure of the land use (112—discontinuous urban fabric; 211—non-irrigated arable land; 242—complex cultivation patterns; 243—land principally occupied by agriculture, with significant areas of natural vegetation; 312—coniferous forest; 313—mixed forest; 512—water bodies) (source: Corine land cover (CLC) vector layers for 2018).</p>
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<p>The local relief of Lake Raczyńskie direct catchment area (digital elevation model (DEM) with bathymetric plan of the lake). A DEM was downloaded with a 1 m by 1 m resolution using LIDAR (light detection and ranging). Sampling points: 1–7, 10–16, 18—bank zone (1–4, 6–7, 10—settlement influence zones; 12–16—agriculture influence zones; 5, 18—tourism influence zones); 8, 9—island zone; 17, 19–22—the central profile of the lake. The bathymetric plan was obtained from the resources of the National Inland Fisheries Research Institute, which was vectorized in the ArcGIS program ver. 10.8.1.</p>
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<p>Spatial distribution of trace elements in the surface sediment of Lake Raczyńskie, Poland. (<b>a</b>) Cd content; (<b>b</b>) Cu content; (<b>c</b>) Mn content; (<b>d</b>) Ni content; (<b>e</b>) Pb content; (<b>f</b>) Zn content.</p>
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<p>Spatial distribution of trace elements in the surface sediment of Lake Raczyńskie, Poland. (<b>a</b>) Cd content; (<b>b</b>) Cu content; (<b>c</b>) Mn content; (<b>d</b>) Ni content; (<b>e</b>) Pb content; (<b>f</b>) Zn content.</p>
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<p>The values of I<sub>geo</sub> in the bottom sediments of Lake Raczyńskie.</p>
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<p>The values of mean PEL-Q of the bottom sediments of Lake Raczyńskie.</p>
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<p>Loading plot of trace elements in the space defined by PC1 and PC2.</p>
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15 pages, 4730 KiB  
Article
Effects of Integrated Management Strategies on Pepper Yield and Quality: A Study of Cultivation and Nutrient Management Practices
by Yiming Tian, Junjie Wang, Juan Chen, Duan Yu, Zhen Zeng, Jian Fu, Fen Zhang, Hailin Cao, Fabo Liu and Tao Liang
Agronomy 2024, 14(12), 2754; https://doi.org/10.3390/agronomy14122754 - 21 Nov 2024
Viewed by 2
Abstract
Integrated agronomic management strategies, including nutrient management, planting density, and cultivar selection, are crucial for improving vegetable yield and quality. Here, we conducted a 2-year field experiment to examine the effect of cultivars, planting density and optimal nitrogen application rate on pepper yield, [...] Read more.
Integrated agronomic management strategies, including nutrient management, planting density, and cultivar selection, are crucial for improving vegetable yield and quality. Here, we conducted a 2-year field experiment to examine the effect of cultivars, planting density and optimal nitrogen application rate on pepper yield, nutrient absorption and quality, and further screened the suitable cultivars and planting density. The experiment included two N application rate treatments (0, 250 kg ha−1), five pepper (Capsicum annuum L.) cultivars (‘Xin xiang #8’, ‘King’, ‘Strip pepper #28’, ‘Er jing tiao’, ‘Red pepper #425’), and three planting density treatments (0.4 m × 0.6 m; 41,667 plants ha−1, 0.5 m × 0.6 m 33,333 plants ha−1; and 0.6 m × 0.6 m; 27,778 plants ha−1). Our results showed that the optimal N application rate can significantly increase the yield, nutrient absorption (e.g., N accumulation) and quality (e.g., Vitamin C content) by 23.7–120.2%, 66.1–125.5%, and 1.0–20.0%, respectively. Different cultivars had different responses to N-fertilizer. Under the optimal nitrogen fertilizer rate, ‘King’ and ‘Strip pepper #28’ had the strongest response to N, and their yield, nutrient uptake and quality (e.g., VC content) were significantly higher than those of other cultivars by 3.4–56.7%, 22.7–227% and 21.3–42.0%, respectively. The highest index of Nutritional Quality (INQ) values for Fe, Mn, and Cu were found in ‘Er jing tiao’, and the highest INQ values for Zn and VC were found in ‘King’, indicating that ‘Er jing tiao’ and ‘King’ have greater nutritional value. In addition, the yield and aboveground dry matter biomass accumulation increased with increasing planting density. Therefore, integrated agronomic management measures, which included high-yield cultivars (‘King’, ‘Strip Pepper #28’), suitable planting density (0.4 m × 0.6 m) and reasonable nutrient management, could be a potential strategy to achieve a high yield and quality of pepper production in southwest China. This study serves as a practical example for the highly efficient development of vegetable production in southwest China. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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<p>Precipitation and mean temperature during the pepper growing season in 2020 (<b>A</b>) and 2021 (<b>B</b>).</p>
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<p>Test pepper cultivars.</p>
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<p>Nitrogen use efficiency of different pepper cultivars under different planting densities. Different letters indicate significant differences among different cultivars by Duncan’s multiple comparison test (<span class="html-italic">p</span> &lt; 0.05). Error bars indicate standard errors (<span class="html-italic">n</span> = 3).</p>
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<p>Aboveground dry matter biomass accumulation (aboveground DMB) in different N levels including N0 (<b>A</b>), OPT-N (<b>B</b>), planting density and pepper cultivars. Under the same planting density, different lowercase letters denote significant changes among different cultivars, and different capital letters denote significant changes between treatments at different densities by Duncan’s multiple comparison test (<span class="html-italic">p</span> &lt; 0.05). Error bars indicate standard errors (<span class="html-italic">n</span> = 3).</p>
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<p>Effects of N application rate including N0 (<b>A</b>), OPT-N (<b>B</b>), planting density and above-ground DMB ratio of different pepper cultivars. Values are means (<span class="html-italic">n</span> = 3).</p>
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<p>Fruit nitrogen (<b>A</b>), phosphorus (<b>B</b>) and potassium (<b>C</b>) concentration in different N fertilizer application rates of different pepper cultivars. N fertilizer application rates included N0 and OPT-N. The different lowercase letters indicate significant difference between cultivars by Duncan’s multiple comparison test (<span class="html-italic">p</span> &lt; 0.05). Error bars indicate standard errors (<span class="html-italic">n</span> = 3).</p>
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<p>Fruit nitrogen (<b>A</b>), phosphorus (<b>B</b>), potassium (<b>C</b>) and plant nitrogen (<b>D</b>) accumulation in N fertilizer application rates of different pepper cultivars. N fertilizer application rates included N0 and OPT-N. The different lowercase letters indicate significant difference between cultivars by Duncan’s multiple comparison test (<span class="html-italic">p</span> &lt; 0.05). Error bars indicate standard errors (<span class="html-italic">n</span> = 3).</p>
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<p>Ca (<b>A</b>), Mg (<b>B</b>), Fe (<b>C</b>), Mn (<b>D</b>),Cu (<b>E</b>) and Zn (<b>F</b>) concentration of pepper in different N levels and cultivars. N fertilizer application rates included N0 and OPT-N. The different lowercase letters indicate significant difference between cultivars by Duncan’s multiple comparison test (<span class="html-italic">p</span> &lt; 0.05). Error bars indicate standard errors (<span class="html-italic">n</span> = 3).</p>
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19 pages, 5930 KiB  
Article
Pistachio Phenology and Yield in a Cold-Winter Region of Spain: The Status of the Cultivation and Performance of Three Cultivars
by Lidia Núñez, Hugo Martín, José Manuel Mirás-Avalos and Sara Álvarez
Horticulturae 2024, 10(12), 1235; https://doi.org/10.3390/horticulturae10121235 - 21 Nov 2024
Viewed by 46
Abstract
In recent years, pistachio (Pistacia vera L.) cultivation is undergoing a great expansion in Spain, which is promising for regions where water and winter chilling are not limiting. Many areas of Castilla y León (Spain) provide suitable conditions for pistachio production, but [...] Read more.
In recent years, pistachio (Pistacia vera L.) cultivation is undergoing a great expansion in Spain, which is promising for regions where water and winter chilling are not limiting. Many areas of Castilla y León (Spain) provide suitable conditions for pistachio production, but heat requirement could be a limiting factor. The aims of this study were (i) to investigate the status of pistachios in Castilla y León and the relationships between phenology and agroclimatic conditions and (ii) to assess the performance of three pistachio cultivars (‘Kerman’, ‘Lost Hills’, and ‘Golden Hills’) in a plantation within this region. This work describes the phenological and productive behavior of three pistachio varieties in seven orchards over three years. The chilling requirements were exceeded, and heat accumulation was sufficient to complete the cycle in all seasons. Bloom and harvest occurred later in ‘Kerman’ than in ‘Golden Hills’ and ‘Lost Hills’. In general, ‘Kerman’ had higher nut yield than the other two cultivars but also had more non-split and blank nuts, aspects that should be considered for future plantations. Despite the interannual variability in yield, a trend to increase the production with water received was observed, but this also affected the quality and modified the splitting percentage. Full article
(This article belongs to the Section Fruit Production Systems)
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<p>The location of the pistachio orchards in ‘Castilla y León’ region, Spain. P1–P7 represent the surveyed sites: P1 = Perales, P2 = Toro, P3 = Pozal de Gallinas, P4 = Carpio, P5 = Fombellida, P6 = Madrigal de las Altas Torres, and P7 = Villafuerte.</p>
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<p>The boxplot for the cumulated growing degree days (GDDs, base temperature = 7.2 °C) between April and September in the six weather stations considered (2007–2023 period). Different letters on the boxes indicate significant differences between weather stations according to Duncan’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Occurrence of different phenological stages over the growing season of pistachio ‘Kerman’ and ‘Lost Hills’ cultivars in Carpio during 2019. C = beginning of pollination reception; E = separated clusters; F0 = end of blooming; F1 = beginning of mesocarp yellowing; F2 = yellow mesocarp.</p>
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<p>The principal component analysis (PCA) of ‘Kerman’ pistachio yield: the biplot for the first two components (PC) for bioclimatic variables and yield. P1–P4 represent the surveyed sites: P1 = Perales, P2 = Toro, P3 = Pozal, P4 = Carpio.</p>
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<p>The evolution of the fresh (FW) (<b>a</b>) and dry (DW) weight of fruits per tree (<b>b</b>) in three pistachio cultivars (K = ‘Kerman’, G = ‘Golden Hills’, L = ‘Lost Hills’) in the Carpio orchard during the experimental period (2016–2022). Different letters indicate significant differences among cultivars according to Duncan’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The pistachio sizes (the number of nuts per ounce) in three pistachio cultivars (K = ‘Kerman’, G = ‘Golden Hills‘, L = ‘Lost Hills’) grown in the Carpio orchard during the experimental period (2016–2022). Different letters indicate significant differences among cultivars according to Duncan’s test (<span class="html-italic">p</span> &lt; 0.05), ns = not significant. No nuts were harvested in 2017 due to spring frost damage.</p>
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<p>The evolution of the percentage of split (<b>a</b>), non-split (<b>b</b>), and blank nuts (<b>c</b>) in three pistachio cultivars (K = ‘Kerman’, G = ‘Golden Hills’, L = ‘Lost Hills’) grown in the Carpio orchard during the experimental period (2016–2022). Different letters indicate significant differences among cultivars according to Duncan’s test (<span class="html-italic">p</span> &lt; 0.05), ns = not significant. No nuts were harvested in 2017 due to spring frost damage.</p>
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<p>The accumulated yield (<b>a</b>) and dry weight of split (<b>b</b>), non-split (<b>c</b>), and blank nuts (<b>d</b>) in three pistachio cultivars (K = ‘Kerman’, G = ‘Golden Hills’, L = ‘Lost Hills’) grown in the Carpio orchard during the experimental period (2016–2022). Different letters indicate significant differences among cultivars according to Duncan’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The evolution of fresh weight yield in three pistachio cultivars (K = ‘Kerman’, G = ‘Golden Hills’, L = ‘Lost Hills’) grown in the Carpio orchard and water supply (irrigation + rainfall) (<b>a</b>) during the experimental period (2016–2022) and the relationship between average yield of the three cultivars and water supply (<b>b</b>).</p>
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<p>The relationship between growing degree days using the base temperature of 7.2 °C (GDDs) and yield in three pistachio cultivars (K = ‘Kerman’, G = ‘Golden Hills’, L = ‘Lost Hills’) grown in the Carpio orchard (<b>a</b>) and relationship between GDDs and the average yield of the three cultivars (<b>b</b>) during the experimental period (2016–2022).</p>
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<p>The general aspect of the selected trees from three pistachio cultivars (‘Kerman’, ‘Golden Hills‘ and ‘Lost Hills’) grown in the Carpio orchard during the experimental period. In the beginning of the vegetative period, May 2018 (<b>a</b>–<b>c</b>) and in August 2018 (<b>d</b>–<b>f</b>).</p>
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<p>The detail of the flowers, leaves, and fruits in three pistachio cultivars (‘Kerman’, ‘Golden Hills‘, and ‘Lost Hills’) grown in the Carpio orchard during the experimental period: at the beginning of the vegetative period, May 2018 (<b>a</b>–<b>c</b>), June 2018 (<b>d</b>–<b>f</b>), and in August 2018 (<b>g</b>–<b>i</b>).</p>
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17 pages, 4258 KiB  
Article
Optimization of Culture Conditions for High Cell Productivity and Astaxanthin Accumulation in Vietnam’s Green Microalgae Haematococcus pluvialis HB and a Neuroprotective Activity of Its Astaxanthin
by Nguyen Cam Ha, Luu Thi Tam, Hoang Thi Minh Hien, Ngo Thi Hoai Thu, Dang Diem Hong and Le Thi Thom
Bioengineering 2024, 11(12), 1176; https://doi.org/10.3390/bioengineering11121176 - 21 Nov 2024
Viewed by 82
Abstract
Background: Haematococcus pluvialis, a green microalga, is a rich source of natural astaxanthin and a potent antioxidant with high commercial value. This study investigates the biological characteristics and potential of H. pluvialis HB isolated from Hoa Binh, Vietnam, for growth and astaxanthin [...] Read more.
Background: Haematococcus pluvialis, a green microalga, is a rich source of natural astaxanthin and a potent antioxidant with high commercial value. This study investigates the biological characteristics and potential of H. pluvialis HB isolated from Hoa Binh, Vietnam, for growth and astaxanthin accumulation using a two-phase culture method. Methods: H. pluvialis HB was cultured in a C/RM medium at 25 °C, and morphological characteristics were examined. NMR spectroscopy was used to determine the structure of the astaxanthin, which was extracted using the Soxhlet method. Results: After 22 days, the highest cell density (4.96 × 106 cells mL−1) was achieved under optimized light and ultraviolet conditions. Nutrient deprivation followed by bicarbonate supplementation resulted in a maximal astaxanthin accumulation of 48.8 mg g−1 dry cell weight within two days. The extracted astaxanthin demonstrated potent antioxidant activity (IC50: 3.74 mg mL−1) compared to ascorbic acid (IC50: 18.53 µg mL−1) and exhibited strong acetylcholinesterase inhibition (IC50: 297.99 µg mL−1). It also showed neuroprotective effects against H2O2 and amyloid beta-induced neurotoxicity in C6 cells. Conclusions: This study highlights H. pluvialis HB as a promising source for large-scale astaxanthin production with potential applications in neuroprotective health products. Full article
(This article belongs to the Section Biochemical Engineering)
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<p>Schematic diagram of the life cycle model of <span class="html-italic">H. pluvialis</span> HB. (1) Stage I: vegetative cell growth (lasting from day 0 to day 10); (2) stage II: encystment (from day 10 to day 40); (3) stage III: maturation (from day 40 to day 50); and (4) stage IV: germination (occurring within 2 days)).</p>
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<p>Images of the <span class="html-italic">H. pluvialis</span> HB cell at different stages under a scanning electron microscope (SEM, magnification shown in each picture). (<b>A</b>) Cells in vegetative growth in stage I. (<b>B</b>) Cells in encystment in stage II. (<b>C</b>) Cells in maturation in stage III. (<b>D</b>) Cells in germination in stage IV.</p>
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<p>The pigment contents (chlorophyll a, astaxanthin) and protein content of <span class="html-italic">H. pluvialis</span> HB in the RM medium.</p>
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<p>Cell density (<b>A</b>) and dry cell weight (<b>B</b>) of <span class="html-italic">H. pluvialis</span> HB cultured in the different media C (⧫), modified BG-11 (▪), OHM (▲), and RM (×) in 250 mL Erlenmeyer flasks.</p>
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<p>Cell density of <span class="html-italic">H. pluvialis</span> HB at different illumination conditions. Control: the microalga was cultured in the RM—4X medium (contained nitrate concentration four times higher than the basal medium of RM) under an illumination of 50 µmol photons. m<sup>−2</sup> s<sup>−1</sup> provided by white fluorescent light with a light/dark 12:12 h photoperiod; experiment (Expt.): cultured the microalga in the RM—4X medium under an illumination of 85 µmol photons. m<sup>−2</sup> s<sup>−1</sup> with a light/dark 16:8 h photoperiod; experiment (Expt. + UV): the illumination condition combined ultraviolet (UV). The microalga was cultured in the RM—4X medium combined with a white high light intensity of 85 µmol photons. m<sup>−2</sup> s<sup>−1</sup> provided by fluorescence lamps and UV illumination (at 30 µmol photons. m<sup>−2</sup> s<sup>−1</sup> provided by UV lamps) and a light/dark 16:8 h photoperiod (including light regime order as 5 h of white high light intensity, 6 h of white high light intensity combined UV light, and finally, 5 h of white high light intensity).</p>
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<p>Cell density of <span class="html-italic">H. pluvialis</span> HB cultured on the RM—4X medium under lighting conditions with a light/dark cycle of 16:8 h, of which 10 h are illuminated by fluorescent lamps (with an intensity of 85 µmol photons. m<sup>−2</sup> s<sup>−1</sup>), 6 h of fluorescent illumination combined with UV light (with an intensity of 30 µmol photons. m<sup>−2</sup> s<sup>−1</sup>), and a perfusion culture procedure.</p>
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<p>Effect of difference bicarbonate concentration on the growth (<b>A</b>) and astaxanthin content (<b>B</b>) of microalga <span class="html-italic">H. pluvialis</span> HB.</p>
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<p>Astaxanthin is extracted from the <span class="html-italic">H. pluvialis</span> HB biomass. HPLC chromatograms of standard astaxanthin (<b>A</b>) and astaxanthin isolated from <span class="html-italic">H. pluvialis</span> HB (<b>B</b>). The 1H NMR spectrum of extracted astaxanthin (<b>C</b>). The 13C-NMR spectrum of extracted astaxanthin (<b>D</b>). The chemical structure of extracted astaxanthin (<b>E</b>).</p>
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<p>Effect of astaxanthin on the survival of C6 cell lines. Ethanol (EtOH) was used as the control group. Cell viability was assessed by an MTT assay. The data are expressed as the mean ± SEM (n = 3).</p>
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<p>The astaxanthin protected C6 cells against damage by oxidative stress induced by H<sub>2</sub>O<sub>2</sub> (10 mM). Cells were pre-incubated with astaxanthin (at 50, 100, and 200 µg mL<sup>−1</sup>) or ascorbic acid (20 µg mL<sup>−1</sup>) at the indicated concentration for 24 h prior to 10 mM H<sub>2</sub>O<sub>2</sub> exposure for 1 h. Cell viability was assessed by an MTT assay. The data are expressed as the mean ± SEM (n = 3). Significant differences in the cell damage induced by H<sub>2</sub>O<sub>2</sub> are denoted by * <span class="html-italic">p</span> &lt; 0.05. EtOH: ethanol; H<sub>2</sub>O<sub>2</sub>: hydrogen peroxide.</p>
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<p>Neuroprotective effects of astaxanthin against Aβ<sub>25–35</sub>-induced neurotoxicity in C6 cell lines. Cells were pre-incubated with astaxanthin (at a concentration of 50, 100, and 200 µg mL<sup>−1</sup>) or galantamine (at 0.1 µg mL<sup>−1</sup>) for 24 h prior to 20 mM Aβ<sub>25–35</sub> exposure for 1 h. Cell viability was assessed by an MTT assay. The data are expressed as the mean ± SEM (n = 3). Significant differences in the cell damage induced by Aβ<sub>25–35</sub> are denoted by * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01. EtOH: ethanol.</p>
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14 pages, 2284 KiB  
Article
Preamble-Based Noncoherent Synchronization in Molecular Communication: A Machine Learning Approach
by Seok-Hwan Moon, Pankaj Singh and Sung-Yoon Jung
Appl. Sci. 2024, 14(23), 10779; https://doi.org/10.3390/app142310779 - 21 Nov 2024
Viewed by 98
Abstract
In the field of wireless communication, there is growing interest in molecular communication (MC), which integrates nano-, bio-, and communication technologies. Inspired by nature, MC uses molecules to transmit data, especially in environments where EM waves struggle to penetrate. In MC, signals can [...] Read more.
In the field of wireless communication, there is growing interest in molecular communication (MC), which integrates nano-, bio-, and communication technologies. Inspired by nature, MC uses molecules to transmit data, especially in environments where EM waves struggle to penetrate. In MC, signals can be distinguished based on molecular concentration, known as concentrated-encoded molecular communication (CEMC). These molecules diffuse through an MC channel and are received via ligand–receptor binding mechanisms. Synchronization in CEMC is critical for minimizing errors and enhancing communication performance. This study introduces a novel preamble-based noncoherent synchronization method, specifically designed for resource-constrained environments like nanonetworks. The method’s simple, low-complexity structure makes it suitable for nanomachines, while machine learning (ML) techniques are used to improve synchronization accuracy by adapting to the nonlinear characteristics of the channel. The proposed approach leverages ML to achieve robust performance. Simulation results demonstrate a synchronization probability of 0.8 for a transmitter-receiver distance of 1 cm, given a molecular collection time duration four times the pulse duration. These results confirm the significant benefits of integrating ML, showcasing improved synchronization probability and reduced mean square error. The findings contribute to the advancement of efficient and practical MC systems, offering insights into synchronization and error reduction in complex environments. Full article
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<p>Block diagram of preamble-based synchronization in MC system.</p>
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<p>Pulse-based preamble signal structure [<a href="#B18-applsci-14-10779" class="html-bibr">18</a>].</p>
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<p>Sliding window-based noncoherent molecular synchronization approach (<math display="inline"><semantics> <msub> <mi>N</mi> <mi>p</mi> </msub> </semantics></math> = 4, <math display="inline"><semantics> <mrow> <mi>N</mi> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math>). For simplicity, we assume <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mrow> <mi>t</mi> <mi>x</mi> </mrow> </msub> <mo>/</mo> <msub> <mi>N</mi> <mrow> <mi>i</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mi>m</mi> <mo>.</mo> <msub> <mi>T</mi> <mi>p</mi> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mi>s</mi> </msub> <mo>/</mo> <mi>m</mi> <mo>.</mo> <msub> <mi>T</mi> <mi>p</mi> </msub> <mo>=</mo> <mi>l</mi> </mrow> </semantics></math>, where <span class="html-italic">m</span> and <span class="html-italic">l</span> are integers [<a href="#B18-applsci-14-10779" class="html-bibr">18</a>].</p>
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<p>Machine learning model [<a href="#B28-applsci-14-10779" class="html-bibr">28</a>].</p>
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<p>Synchronization probability with distance for different SCW widths prior to training.</p>
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<p>Average normalized mean square error with distance for different SCW widths prior to training.</p>
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<p>Train and validation accuracy based data.</p>
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<p>Synchronization probability with distance for different SCW widths after training.</p>
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<p>Average normalized mean square error with distance for different SCW widths after training.</p>
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18 pages, 3238 KiB  
Article
Waterlogging Stability Identification: Ray-Based Model Application in Mining Areas with High Groundwater Levels—A Case Study of Huainan Coal Field
by Yueming Sun, Yanling Zhao, He Ren, Zhibin Li and Yanjie Tang
Land 2024, 13(12), 1975; https://doi.org/10.3390/land13121975 - 21 Nov 2024
Viewed by 98
Abstract
Surface subsidence and water accumulation are common consequences of underground coal mining in areas with high groundwater levels, leading to waterlogged zones. Predicting the stability of these subsidence-induced water bodies is critical for effective land reclamation, yet current methods remain inadequate, particularly when [...] Read more.
Surface subsidence and water accumulation are common consequences of underground coal mining in areas with high groundwater levels, leading to waterlogged zones. Predicting the stability of these subsidence-induced water bodies is critical for effective land reclamation, yet current methods remain inadequate, particularly when mining data are limited. This study addresses this gap by introducing a new approach to evaluate the stability of subsidence waterlogging zones. We developed a novel method based on the ray model to assess waterlogging stability in coal mining areas. Rays were cast from origins at 1° intervals to measure changes in water accumulation boundaries over time, using metrics like the Expansion Ratio Index and stability duration. The proposed method was applied to the Huainan coal field, a typical mining area with high groundwater levels in China. We studied 41 subsidence water patches, selecting ray origins for each patch and constructing a total of 14,760 rays at 1° intervals. (2) Out of all effective rays, 4250 (32.6%) were identified as stable. (3) Stability analysis classified 32.6% as “stable”, 66.4% as “observation required”, and 1.6% as “expanding.” Specific reclamation suggestions include filling shallow stable areas and developing permanent projects in larger stable zones. Full article
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<p>Overview of the study area. The water data comes from the Joint Research Center Yearly Water Classification History v1.0 product.</p>
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<p>Technical flow chart. (1) Data preprocessing (2) Construction of the ray method model (3) Methods for determining the stability of subsidence waterlogging.</p>
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<p>Plot of ray angles selection. (<b>a</b>) Number of distance differences and outliers (<b>b</b>) Change in distance differences and outliers.</p>
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<p>Automatic extraction results. This figure shows the automatic extraction results, highlighting expansion directions at 0°, 60°, 120°, 180°, 240°, and 300°, with other directions not displayed.</p>
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<p>Distribution map of ERI and EMI in Huainan coal field. (<b>a</b>) Distribution map of ERI (<b>b</b>) Distribution map of EMI.</p>
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<p>Stability of subsidence waterlogging. This figure shows the stability of subsidence waterlogging in the Huainan coal field, highlighting stable and unstable areas.</p>
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<p>Schematic of the development of subsidence waterlogging. (<b>a</b>) Merged evolution type waterlogging (<b>b</b>) Independent evolution type waterlogging.</p>
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<p>Distribution map of the linear regression rates of directional rays. This figure displays the distribution map of linear regression rates for directional rays, illustrating how these rates vary across different directions.</p>
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<p>Predicted results of mining subsidence waterlogging for 2017. This figure compares the predicted results of mining subsidence waterlogging for 2017 with the original data, highlighting the differences in extent and distribution.</p>
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29 pages, 4178 KiB  
Review
Host Immune Response to Dengue Virus Infection: Friend or Foe?
by Priya Dhole, Amir Zaidi, Hardik K. Nariya, Shruti Sinha, Sandhya Jinesh and Shivani Srivastava
Immuno 2024, 4(4), 549-577; https://doi.org/10.3390/immuno4040033 - 21 Nov 2024
Viewed by 86
Abstract
DENV belongs to the Flaviviridae family and possesses a single-stranded RNA genome of positive polarity. DENV infection manifests in mild subclinical forms or severe forms that may be dengue hemorrhagic fever (DHF) or dengue shock syndrome (DSS). Despite a lot of effort worldwide, [...] Read more.
DENV belongs to the Flaviviridae family and possesses a single-stranded RNA genome of positive polarity. DENV infection manifests in mild subclinical forms or severe forms that may be dengue hemorrhagic fever (DHF) or dengue shock syndrome (DSS). Despite a lot of effort worldwide, the exact mechanism underlying the pathogenesis of severe DENV infection remains elusive. It is believed that both host and viral factors contribute to the outcome of dengue disease. The host factors are age at the time of infection, sex, nutrition, and immune status, including the presence of pre-existing antibodies or reactive T cells. Viral factors include the serotype, genotype, and mutation(s) due to error-prone RNA-dependent polymerase leading to the development of quasispecies. Accumulating bodies of literature have depicted that DENV has many ways to invade and escape the immune system of the host. These invading strategies are directed to overcome innate and adaptive immune responses. Like other viruses, once the infection is established, the host also mounts a series of antiviral responses to combat and eliminate the virus replication. Nevertheless, DENV has evolved a variety of mechanisms to evade the immune system. In this review, we have emphasized the strategies that DENV employs to hijack the host innate (interferon, IFN; toll-like receptors, TLR; major histocompatibility complex, MHC; autophagy; complement; apoptosis; RNAi) and adaptive (antibody-dependent enhancement, ADE; T cell immunity) immune responses, which contribute to the severity of DENV disease. Full article
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<p>Structure and serotype of the dengue virus: Structure of Dengue virus with RNA genome and envelope [<a href="#B12-immuno-04-00033" class="html-bibr">12</a>]. Four serotypes of DENV are reported (DENV1, DENV2, DENV3, and DEN4) adapted from [<a href="#B13-immuno-04-00033" class="html-bibr">13</a>]. Figure created using biorender.com.</p>
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<p>Transmission of the dengue virus: Transmitted via a bite from an infected mosquito into humans which is termed horizontal transmission [<a href="#B29-immuno-04-00033" class="html-bibr">29</a>]. Mosquitoes are infected when they feed on the blood of a DENV viremic human host. The time between the ingestion of the infected blood by the mosquito and the replication of DENV in the midgut and the presence of infective viral particles in its salivary glands/secretion is called the extrinsic incubation period. Following the extrinsic incubation period, the mosquito is infectious and capable of infecting another healthy person or other vertebrate host [<a href="#B30-immuno-04-00033" class="html-bibr">30</a>]. The intrinsic incubation period is the period between the human infection and the onset of symptoms [<a href="#B31-immuno-04-00033" class="html-bibr">31</a>]. The image was created using biorender.com.</p>
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<p>The spectrum of clinical presentation of DENV infection: There are three stages of DENV: (1) febrile that lasts for 3–7 days and has mild symptoms; (2) critical stage (4–7 days), characterized by hemorrhagic manifestations and in some subjects can be accompanied by rare severe symptoms; and (3) the recovery stage (2–3 days) [<a href="#B32-immuno-04-00033" class="html-bibr">32</a>] where the vascular permeability lasts for 2–3 days and is followed by rapid improvement in the patient’s symptoms. A secondary rash ranging from mild (maculopapular) to severe (itchy lesion) may occur that resolves in 1–2 weeks [<a href="#B32-immuno-04-00033" class="html-bibr">32</a>,<a href="#B33-immuno-04-00033" class="html-bibr">33</a>,<a href="#B34-immuno-04-00033" class="html-bibr">34</a>] (the febrile stage can be mild leading to the recovery phase. The critical stage may or may not lead to the recovery stage. The figure was created using <a href="http://biorender.com" target="_blank">biorender.com</a>.</p>
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<p>The genome of the dengue virus: The genome has a single open reading frame with UTRs on 5′ and 3′. Phosphorylation leads to the generation of three structural (E, M, and C) and seven non-structural proteins (NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5). The image was created using biorender.com.</p>
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<p>Factors influencing DENV infection outcomes. Viral factors encompass serotypes, genotypes, and mutations/quasispecies diversity. Host factors include age, underlying medical conditions, gene polymorphisms (HLA), and immune profile, which collectively influence disease severity and clinical outcome [<a href="#B95-immuno-04-00033" class="html-bibr">95</a>,<a href="#B96-immuno-04-00033" class="html-bibr">96</a>,<a href="#B97-immuno-04-00033" class="html-bibr">97</a>,<a href="#B98-immuno-04-00033" class="html-bibr">98</a>,<a href="#B99-immuno-04-00033" class="html-bibr">99</a>,<a href="#B100-immuno-04-00033" class="html-bibr">100</a>,<a href="#B101-immuno-04-00033" class="html-bibr">101</a>]. The image was created using biorender.com.</p>
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<p>Immune responses during DENV infection. The infection first triggers the activation of the innate immune response involving various cells, ligands, cytokines, and signaling pathways. This is followed by the adaptive immune response, mediated by B cells (humoral) and T cells (cell-mediated). In secondary DENV infections, original antigenic sin (OAS) may or may not occur. If it occurs, then it is harmful to the host. The image was created using biorender.com.</p>
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