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15 pages, 2311 KiB  
Article
Differences in the Virulence Between Local Populations of Puccinia striiformis f. sp. tritici in Southwest China
by Fang Yang, Yunjing Wang, Zhiying Ji, Jiahui Liu, Mei Zhang, Yunliang Peng, Jie Zhao and Hongli Ji
Plants 2024, 13(20), 2902; https://doi.org/10.3390/plants13202902 (registering DOI) - 17 Oct 2024
Abstract
The virulence analysis of Puccinia stiiformis f. sp. tritici (Pst), the cause of wheat stripe rust, is essential for predicting and managing the disease epidemic in Southwest China, where the wheat cultivation has significantly reduced in the past few decades due [...] Read more.
The virulence analysis of Puccinia stiiformis f. sp. tritici (Pst), the cause of wheat stripe rust, is essential for predicting and managing the disease epidemic in Southwest China, where the wheat cultivation has significantly reduced in the past few decades due to the impact of this disease. From 2020 to 2021, 196 Pst isolates were collected from Guizhou, Yunnan, and Sichuan. The virulence and race assessments were conducted using Chinese differential genotypes. Additionally, the resistance expression of 102 wheat lines was evaluated in 2021 in two disease nurseries located in Ningnan and Jiangyou. All the 45 Pst isolates from Guizhou and Yunnan belonged to pathogroup Hybrid 46, with 36 identified as race CYR32. Among the 69 isolates from the Liangshan Prefecture, 67 belonged to the Hybrid 46 group, while the remaining two were identified as race CYR34 in the G-22 group. Furthermore, all 79 isolates from the western Sichuan Basin belonged to the G-22 group, with 54 identified as race CYR34. The diversity indices of the Pst populations from Guizhou, Sichuan, and Yunnan exhibited a sequential decline. Virulence variation among the Pst populations from Yunnan, Guizhou, and the Ganzi-Liangshan region was minimal; however, significant virulence differences were observed when these populations were compared to those from the western Sichuan Basin. Results from disease nurseries indicated that Pst virulence was notably stronger in Ningnan compared to that in Jiangyou. The Sichuan Basin exhibits a notable diversity in Pst virulence, coupled with a more frequent genetic exchange occurring between the Liangshan Prefecture and the Yunnan-Guizhou Plateau. This information is essential for developing effective management strategies to mitigate the impact of wheat stripe rust in this region. Full article
(This article belongs to the Special Issue Plant Pathology and Epidemiology for Grain, Pulses, and Cereal Crops)
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Figure 1
<p>Sampling locations of <span class="html-italic">Puccinia stiiformis</span> f. sp. <span class="html-italic">tritici</span> (<span class="html-italic">Pst</span>)-infected leaves in the years 2020 and 2021. The red dots indicate the sampling sites in 2020, and the green dots indicate the sampling sites in 2021. The blue boundaries delineate the cities and prefectures of Sichuan Province, the green boundaries delineate the cities and prefectures of Yunnan Province, and the orange boundaries delineate the cities and prefectures of Guizhou Province.</p>
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<p>Phylogenetic tree of <span class="html-italic">P. striiformis</span> f. sp. <span class="html-italic">tritici</span> isolates collected in different regions of Southwest China based on the virulence data in 2020 and 2021. The isolates highlighted in pink were virulent to ‘Chuanmai 104’, and the isolates highlighted in green were avirulent to ‘Chuanmai 104’. Isolate codes begin with “20” or “21” indicate the sampling years 2020 and 2021, respectively. The letters “S”, “G”, and “Y” represent the provinces: Sichuan, Guizhou, and Yunnan, respectively. The capital letters that follow “20S” or “21S” represent cities in Sichuan, “MY” for Mianyang City, “GY” for Guangyuan City, “DY” for Deyang City, “LZ” for Luzhou City, “LS” for Liangshan Yi Autonomous Prefecture, and “GZ” for Ganzi Tibetan Autonomous Prefecture; the lowercase letters that follow city names represent counties, districts, or cities belonging to the city: “yx” for Youxian District, “jy” for Jiangyou City, “yt” for Yanting County, “zt” for Zitong County, “st” for Santai County, “zj” for Zhongjiang County, “jg” for Jiange County, “hj” for Hejiang County, “hd” for Huidong County, “nn” for Ningnan County, and “df” for Daofu County. The lowercase letters that follow “20G” or “21G” represent cities in Guizhou: “pz” for Panzhou City; “lps” for Liupanshui City, “gy” for Guiyang City, and “hz” for Hezhang County. The lowercase letters that follow “21Y” represent cities in Yunnan: “cx” for Chuxiong Yi Autonomous Prefecture, “hh” for Honghe Hani and Yi Autonomous Prefecture, and “qj” for Qujing City.</p>
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<p>Virulence frequency of <span class="html-italic">Pst</span> isolates from Southwest China in 2020 and 2021 to the 19 Chinese differential genotypes and the supplemental differential genotype ‘Chuanmai 104’. SC-B, Sichuan Basin; SC-L+G, Liangshan Prefecture and Ganzi Prefecture, Sichuan Province; YN, Yunnan Province; GZ, Guizhou Province.</p>
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<p>Principal coordinate analysis (PCoA) of the <span class="html-italic">Pst</span> virulence from Sichuan Basin (SC), Ganzi-Liangshan areas of Sichuan (SC_L+G), Yunnan (YN), and Guizhou (GZ).</p>
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18 pages, 5647 KiB  
Article
An Ecological Survey of Chiggers (Acariformes: Trombiculidae) Associated with Small Mammals in an Epidemic Focus of Scrub Typhus on the China–Myanmar Border in Southwest China
by Ru-Jin Liu, Xian-Guo Guo, Cheng-Fu Zhao, Ya-Fei Zhao, Pei-Ying Peng and Dao-Chao Jin
Insects 2024, 15(10), 812; https://doi.org/10.3390/insects15100812 - 16 Oct 2024
Viewed by 235
Abstract
Chiggers (chigger mites) are a group of tiny arthropods, and they are the exclusive vector of Orientia tsutsugamushi (Ot), the causative agent of scrub typhus (tsutsugamushi disease). Dehong Prefecture in Yunnan Province of southwest China is located on the China–Myanmar border and is [...] Read more.
Chiggers (chigger mites) are a group of tiny arthropods, and they are the exclusive vector of Orientia tsutsugamushi (Ot), the causative agent of scrub typhus (tsutsugamushi disease). Dehong Prefecture in Yunnan Province of southwest China is located on the China–Myanmar border and is an important focus of scrub typhus. Based on the field surveys in Dehong between 2008 and 2022, the present paper reports the infestation and ecological distribution of chiggers on the body surface of rodents and other sympatric small mammals (shrews, tree shrews, etc.) in the region for the first time. The constituent ratio (Cr), prevalence (PM), mean abundance (MA), and mean intensity (MI) were routinely calculated to reflect the infestation of small-mammal hosts with chiggers. Additionally, the species richness (S), Shannon–Wiener diversity index (H), Simpson dominance index (D), and Pielou’s evenness index (E) were calculated to illustrate the chigger community structure. Preston’s log-normal model was used to fit the theoretical curve of species abundance distribution, and the Chao 1 formula was used to roughly estimate the expected total species. The “corrplot” package in R software (Version 4.3.1) was used to analyze interspecific relationships, and the online drawing software was used to create a chord diagram to visualize the host–chigger associations. From 1760 small-mammal hosts, a total of 9309 chiggers were identified as belonging to 1 family, 16 genera, and 117 species, with high species diversity. The dominant chigger species were Leptotrombidium deliense, Walchia ewingi, and Gahrliepia longipedalis, with a total Cr = 47.65% (4436/9309), among which L. deliense is the most important vector of Ot in China. The overall infestation indexes (PM, MA, and MI) and community parameters (S, H, and E) of chiggers in the mountainous areas and outdoors were higher than those in the flatland areas and indoors, with an obvious environmental heterogeneity. Leptotrombidium deliense was the dominant species in the flatland and indoors, while G. longipedalis was the prevalent species in the mountainous and outdoor areas. The species abundance distribution of the chigger community conformed to log-normal distribution with the theoretical curve equation: S(R)=28e[0.23(R0)]2, indicating the existence of many rare species and only a few dominant species in the community. The expected total number of chigger species was roughly estimated to be 147 species, 30 more than the 117 species actually collected, suggesting that some uncommon species may have been missed in the sampling survey. The host–parasite association analysis revealed that one host species can harbor different chigger species, and one chigger species can parasitize different host species with low host specificity. A positive or negative correlation existed among different chigger species, indicating a cooperative or competitive interspecific relationship. The species diversity of chiggers is high in Dehong on the China–Myanmar border, and a large host sample is recommended to find more uncommon species. There is an obvious environmental heterogeneity of the chigger community, with different species diversity and dominant species in different environments. The low host specificity of chiggers and the occurrence of a large number of L. deliense in Dehong, especially in flatland areas and indoors, would increase the risk of persistent transmission of scrub typhus in the region. Full article
(This article belongs to the Section Medical and Livestock Entomology)
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<p>The geographical location and four survey sites of Dehong Prefecture located on the China–Myanmar border in Yunnan Province of southwest China (2008–2022).</p>
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<p>A photo of <span class="html-italic">L</span>. <span class="html-italic">deliense</span> (×1000), one of the three dominant chigger species in Dehong Prefecture on the China–Myanmar border in Yunnan Province of southwest China (2008–2022).</p>
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<p>A photo of <span class="html-italic">W. ewingi</span> (×1000), one of the three dominant chigger species in Dehong Prefecture on the China–Myanmar border in Yunnan Province of southwest China (2008–2022).</p>
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<p>A photo of <span class="html-italic">G. longipedalis</span> (×1000), one of the three dominant chigger species in Dehong Prefecture on the China–Myanmar border in Yunnan Province of southwest China (2008–2022).</p>
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<p>Theoretical curve fitting of species abundance distribution of the chigger community in Dehong prefecture on the China–Myanmar border in Yunnan Province of southwest China (2008–2022).</p>
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<p>Interspecific relationships of chiggers on small mammals in Dehong Prefecture on the China–Myanmar border in Yunnan Province of southwest China (2008–2022). Annotation: The chigger species marked with “**” are the main vectors of <span class="html-italic">O</span>. <span class="html-italic">tsutsugamushi</span> (Ot), the causative agent of scrub typhus (tsutsugamushi disease) in China, and those with “*” are the potential vectors of Ot.</p>
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<p>The chord diagram of host–chigger relationships in Dehong Prefecture on the China–Myanmar border in Yunnan Province of southwest China (2008–2022).</p>
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22 pages, 20819 KiB  
Article
Single-Base Methylome Analysis of Sweet Cherry (Prunus avium L.) on Dwarfing Rootstocks Reveals Epigenomic Differences Associated with Scion Dwarfing Conferred by Grafting
by Yi Hong, Zhuang Wen, Guang Qiao, Tian Tian and Xiaopeng Wen
Int. J. Mol. Sci. 2024, 25(20), 11100; https://doi.org/10.3390/ijms252011100 - 16 Oct 2024
Viewed by 197
Abstract
Plant grafting using dwarfing rootstocks is one of the important cultivation measures in the sweet cherry (Prunus avium) industry. In this work, we aimed to explore the effects of the dwarfing rootstock “Pd1” (Prunus tomentosa) on sweet cherry ‘Shuguang2’ [...] Read more.
Plant grafting using dwarfing rootstocks is one of the important cultivation measures in the sweet cherry (Prunus avium) industry. In this work, we aimed to explore the effects of the dwarfing rootstock “Pd1” (Prunus tomentosa) on sweet cherry ‘Shuguang2’ scions by performing morphological observations using the paraffin slice technique, detecting GA (gibberellin) and IAA (auxin) contents using UPLC-QTRAP-MS (ultra-performance liquid chromatography coupled with a hybrid triple quadrupole-linear ion trap mass spectrometer), and implementing integration analyses of the epigenome and transcriptome using whole-genome bisulfite sequencing and transcriptome sequencing. Anatomical analysis indicated that the cell division ability of the SAM (shoot apical meristem) in dwarfing plants was reduced. Pd1 rootstock significantly decreased the levels of GAs and IAA in sweet cherry scions. Methylome analysis showed that the sweet cherry genome presented 15.2~18.6%, 59.88~61.55%, 28.09~33.78%, and 2.99~5.28% methylation at total C, CG, CHG, and CHH sites, respectively. Shoot tips from dwarfing plants exhibited a hypermethylated pattern mostly due to increased CHH methylation, while leaves exhibited a hypomethylated pattern. According to GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis, DMGs (differentially methylated genes) and DEGs (differentially expressed genes) were enriched in hormone-related GO terms and KEGG pathways. Global correlation analysis between methylation and transcription revealed that mCpG in the gene body region enhanced gene expression and mCHH in the region near the TSS (transcription start site) was positively correlated with gene expression. Next, we found some hormone-related genes and TFs with significant changes in methylation and transcription, including SAURs, ARF, GA2ox, ABS1, bZIP, MYB, and NAC. This study presents a methylome map of the sweet cherry genome, revealed widespread DNA methylation alterations in scions caused by dwarfing rootstock, and obtained abundant genes with methylation and transcription alterations that are potentially involved in rootstock-induced growth changes in sweet cherry scions. Our findings can lay a good basis for further epigenetic studies on sweet cherry dwarfing and provide valuable new insight into understanding rootstock–scion interactions. Full article
(This article belongs to the Collection Advances in Molecular Plant Sciences)
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<p>Growth and anatomical observation of shoot tips. (<b>A</b>) Grafting plants at the growth stagnation stage (195 days after grafting). Red circles mark shoot tips. (<b>B</b>) Anatomical observation of shoot tips. SG-Pd1: “Shuguang2” sweet cherry grafted onto Pd1 rootstock (dwarf); SG-WT: “Shuguang2” sweet cherry grafted onto wild-type rootstock (vigorous).</p>
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<p>The effect of rootstock on scion growth. (<b>A</b>) The growth of “Shuguang2” grafted buds. (<b>B</b>) New branch growth of 4-year-old grafted plants. Significant differences from the fifteen biological replicates were calculated using <span class="html-italic">t</span>-test and indicated by * (<span class="html-italic">p</span> value &lt; 0.05). SG-Pd1: “Shuguang2” sweet cherry grafted onto Pd1 rootstock (dwarf); SG-WT: “Shuguang2” sweet cherry grafted onto wild-type rootstock (vigorous).</p>
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<p>The content of GAs and IAA in shoot tips. ND indicates “not detected”. Significant differences were evaluated using <span class="html-italic">t</span>-test and indicated by ** (<span class="html-italic">p</span> value &lt; 0.01), *** (<span class="html-italic">p</span> value &lt; 0.001), and **** (<span class="html-italic">p</span> value &lt; 0.0001). SG-Pd1: “Shuguang2” grafted onto Pd1 rootstock (dwarf); SG-WT: “Shuguang2” grafted onto wild-type rootstock (vigorous).</p>
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<p>Relative expression analysis of genes encoding DNA methylation-related enzymes using RT-qPCR. (<b>A</b>) Genes encoding de novo methylation-related enzymes. (<b>B</b>) Genes encoding demethylation-related enzymes. (<b>C</b>) Genes encoding methylation maintenance-related enzymes. Significant differences were assessed by <span class="html-italic">t</span>-test and are indicated by * (<span class="html-italic">p</span> value &lt; 0.05), ** (<span class="html-italic">p</span> value &lt; 0.01), and *** (<span class="html-italic">p</span> value &lt; 0.001), with ns indicating “not significant”.</p>
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<p>Features of the sweet cherry scion methylome. (<b>A</b>) The methylation level of sweet cherry scions. (<b>B</b>) Relative proportions of mCpG, mCHG, and mCHH in total mC. (<b>C</b>) DNA methylation of chromosomes in the sweet cherry genome. (<b>D</b>) The methylation level of each chromosome in sweet cherry. (<b>E</b>) Methylation density. (<b>F</b>) The DNA methylation features of genes and TEs. Mds_S and Mds_L indicated shoot tips and leaves from SG-Pd1, respectively; Mwt_S and Mwt_L indicated shoot tips and leaves from SG-WT, respectively.</p>
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<p>Dynamic changes in DNA methylation after grafting. (<b>A</b>) The DNA methylation level of each sample. (<b>B</b>) DNA methylation characteristics of genes and TEs. (<b>C</b>) Principal component analysis (PCA) of total mC, mCpG, mCHG, and mCHH. Mds_S and Mds_L indicate shoot tips and leaves from SG-Pd1, respectively; Mwt_S and Mwt_L indicate shoot tips and leaves from SG-WT, respectively.</p>
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<p>Identification of DMRs. (<b>A</b>) The number of DMRs identified in Mds_S vs. Mwt_S (shoot tips from SG-Pd1 vs. shoot tips from SG-WT) and Mds_L vs. Mwt_L (leaves from SG-Pd1 vs. leaves from SG-WT). (<b>B</b>) The proportion of CpG-DMRs, CHG-DMRs, and CHH-DMRs. (<b>C</b>) The proportion of hyper-DMRs and hypo-DMRs. (<b>D</b>) The number of DMRs on chromosomes (chr1–chr8). (<b>E</b>) Boxplot of DNA methylation changes in DMRs.</p>
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<p>Differentially methylated gene (DMG) analysis. (<b>A</b>) The number of DMGs identified in Mds_S vs. Mwt_S (shoot tips from SG-Pd1 vs. shoot tips from SG-WT) and Mds_L vs. Mwt_L (leaves from SG-Pd1 vs. leaves from SG-WT). (<b>B</b>) Venn diagram analysis of DMGs in different sequence contexts (mCpG-DMGs, mCHG-DMGs, and mCHH-DMGs) and regions (promoter, exon, and intronic and intergenic regions). (<b>C</b>) Venn diagram analysis of DMGs. (<b>D</b>) KEGG pathway enrichment analysis of DMGs.</p>
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<p>Differentially expressed gene (DEGs) analysis. (<b>A</b>) The number of DEGs. (<b>B</b>) Venn diagram of DEGs in shoot tips and leaves. (<b>C</b>) Volcano plot showing DEGs between shoot tips and leaves. (<b>D</b>) KEGG enrichment analysis was separately conducted on the DEGs in the shoot tips and leaves. WT_S and DS_S indicate shoot tips of SG-WT and SG-Pd1, respectively; WT_L and DS_L indicate leaves of SG-WT and SG-Pd1, respectively.</p>
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<p>Correlation analysis between DNA methylation and gene expression. (<b>A</b>) Venn diagram analysis of DEGs and DMGs in shoot tips and leaves. (<b>B</b>) Venn diagram analysis of overlapping genes in shoot tips and leaves. (<b>C</b>) Distributions of methylation levels within genes partitioned by different expression levels: rank1 is the lowest, and rank6 is the highest. (<b>D</b>) Differential expression levels of all genes, hypermethylated genes, and hypomethylated genes, displayed as boxplots. Wilcoxon <span class="html-italic">p</span> values indicated by ** (<span class="html-italic">p</span> value &lt; 0.005). In addition, ns indicates “not significant”.</p>
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18 pages, 2920 KiB  
Article
Transcriptomic and Proteomic Integration Reveals Key Tapping-Responsive Factors for Natural Rubber Biosynthesis in the Rubber Tree Hevea brasiliensis
by Lixia He, Yang Yang, Junjun Ma, Boxuan Yuan, Fengyan Fang, Juanying Wang, Mei Wang, Aifang Li, Jinxian Chen, Shugang Hui and Xuchu Wang
Forests 2024, 15(10), 1807; https://doi.org/10.3390/f15101807 (registering DOI) - 16 Oct 2024
Viewed by 200
Abstract
Natural rubber is a crucial industrial material, and it is primarily harvested from the latex of the rubber tree Hevea brasiliensis by tapping the tree trunk. During the regular tapping process, mechanical damage seriously affects latex reproduction and rubber yield, but the molecular [...] Read more.
Natural rubber is a crucial industrial material, and it is primarily harvested from the latex of the rubber tree Hevea brasiliensis by tapping the tree trunk. During the regular tapping process, mechanical damage seriously affects latex reproduction and rubber yield, but the molecular mechanisms on tapping stimulation remain unclear. In this study, we firstly determined the changed physiological markers on latex regeneration, overall latex yield, and latex flow time during the tapping process. Then, we combined proteomics and transcriptomics analyses of latex during tapping and identified 3940 differentially expressed genes (DEGs) and 193 differentially expressed proteins (DEPs). Among them, 773 DEGs and 120 DEPs displayed a persistent upregulation trend upon tapping. It is interesting that, in the detected transcription factors, basic helix-loop-helix (bHLH) family members occupied the highest proportion among all DEGs, and this trend was similarly observed in DEPs. Notably, 48 genes and 34 proteins related to natural rubber biosynthesis were identified, and most members of small rubber particle protein (SRPP) and rubber elongation factor (REF) showed a positive response to tapping stimulation. Among them, SRPP6 and REF5 showed significant and sustained upregulation at the gene and protein levels following tapping, indicating their pivotal roles for post-tapping rubber biosynthesis. Our results deepen the comprehension of the regulation mechanism underlying tapping and provide candidate genes and proteins for improving latex production in the Hevea rubber tree in future. Full article
(This article belongs to the Section Genetics and Molecular Biology)
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<p>Changes of latex physiological parameters after tapping on the <span class="html-italic">Hevea</span> rubber tree. (<b>A</b>) The tapping process. (<b>B</b>) Fresh yield. (<b>C</b>) Flowing time. (<b>D</b>) Dry rubber content. (<b>E</b>) Dry matter. Values indicate mean ± SD from three replicates. One asterisk (*) and two asterisks (**) represent significant differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 using the Student’s <span class="html-italic">t</span> test, respectively.</p>
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<p>Overview of transcriptome in the latex after tapping. (<b>A</b>) PCoA of transcriptomic data. (<b>B</b>) Venn diagram of the shared and unique DEGs. (<b>C</b>) Trend analysis of the identified genes. The upper left corner number represents the clustering results (20 profiles were obtained), the lower left corner number represents the number of genes with the same trend, and the colored trend indicates a trend of significant enrichment. (<b>D</b>) TF prediction result of DEGs.</p>
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<p>Proteomic analysis of the latex after tapping. (<b>A</b>) PCoA of proteomic data. (<b>B</b>) Venn diagram of the shared and unique DEPs. (<b>C</b>) Trend analysis of the identified proteins. The upper left corner number represents the clustering results (20 profiles were obtained), the lower left corner number represents the number of proteins with the same trend, and the colored trend indicates a trend of significant enrichment. (<b>D</b>) TF prediction result of DEPs.</p>
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<p>Enrichment analysis of DEGs and DEPs. GO enrichment of the identified DEGs (<b>A</b>) and DEPs (<b>B</b>). The top 20 abundant KEGG pathways in DEGs (<b>C</b>) and DEPs (<b>D</b>) were displayed.</p>
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<p>Expression of genes and proteins in nature rubber biosynthesis pathway.</p>
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<p>The qRT-PCR verification of the DEGs in NRB pathway. Different letters represent significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 1920 KiB  
Article
Energy Reserve Allocation in the Trade-Off between Migration and Reproduction in Fall Armyworm
by Chuan-Feng Xu, Peng-Cheng Liu, Jason W. Chapman, Karl R. Wotton, Guo-Jun Qi, Yu-Meng Wang and Gao Hu
Insects 2024, 15(10), 809; https://doi.org/10.3390/insects15100809 - 16 Oct 2024
Viewed by 264
Abstract
Striking a trade-off between migration and reproduction becomes imperative during long-range migration to ensure proper energy allocation. However, the mechanisms involved in this trade-off remain poorly understood. Here, we used a takeoff assay to distinguish migratory from non-migratory individuals in the fall armyworm, [...] Read more.
Striking a trade-off between migration and reproduction becomes imperative during long-range migration to ensure proper energy allocation. However, the mechanisms involved in this trade-off remain poorly understood. Here, we used a takeoff assay to distinguish migratory from non-migratory individuals in the fall armyworm, which is a major migratory insect worldwide. Migratory females displayed delayed ovarian development and flew further and faster than non-migratory females during tethered flight. Transcriptome analyses demonstrated an enrichment of fatty acid genes across successive levels of ovarian development and different migratory behaviors. Additionally, genes with roles in phototransduction and carbohydrate digestion along with absorption function were enriched in migratory females. Consistent with this, we identified increased abdominal lipids in migratory females that were mobilized to supply energy to the flight muscles in the thorax. Our study reveals that the fall armyworm faces a trade-off in allocating abdominal triglycerides between migration and reproduction during flight. The findings provide valuable insights for future research on this trade-off and highlight the key energy components involved in this strategic balance. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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<p>The ovarian development and flight trait divergence between migratory and non-migratory females in <span class="html-italic">S. frugiperda</span>. (<b>A</b>) The hourly flight duration, flight speed, total flight duration, and flight average speed in females within 10 h tethered flight. MG and NMG represent migratory and non-migratory individuals, respectively. Solid black bars represent medians, boxes represent the interquartile range, whiskers extend to observations within ±1.5 times the interquartile range, * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001. Each dot represents a single individual (<span class="html-italic">n</span> = 78, Mann–Whitney <span class="html-italic">U</span> test). (<b>B</b>) The comparison of diverse ovarian percentages in females at different times. 0.5 h and 18 h means the time of dissection after the migratory experiment.</p>
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<p>Transcriptome analysis of migratory and non-migratory females with different levels of ovarian development in <span class="html-italic">S. frugiperda</span>. (<b>A</b>) Schematic diagram for experimental sample collection. Females are divided into migratory (red) and non-migratory (blue) groups based on the takeoff angle after simulating indoor sunset. Then, 18 h later, they were dissected and divided into four groups: MG-II, MG-III, NMG-II and NMG-III according to the ovarian levels. (<b>B</b>) The significant enrichment GO terms for DEGs were between NMG-II and NMG-III, MG-II and MG-III, NMG-III and MG-III, and NMG-II and MG-II. (<b>C</b>) Heat map based on the expression levels of DEGs in the enriched KEGG pathway between NMG-III and MG-III. These KEGG pathways included fatty acid metabolism, phototransduction, and carbohydrate digestion and absorption based on pathway maps in the KEGG pathway database. Expression values of each gene were normalized (<span class="html-italic">Z</span>-score) prior to the analysis. The color blocks indicate the deviation from the gene’s average across all samples.</p>
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<p>Analysis of energy substance content in <span class="html-italic">S. frugiperda</span> females. (<b>A</b>–<b>C</b>) Comparison of triglycerides (<b>A</b>) and glycogen (<b>B</b>) levels between migratory and non-migratory individuals in <span class="html-italic">S. frugiperda</span> females. (<b>C</b>) The weight of female adults was measured as parallel. MG and NMG represent migratory and non-migratory individuals, respectively. Data were presented as mean values ± SEM; the different lowercase letters above bars indicate significant difference (<span class="html-italic">n</span> ≥ 6, Student’s <span class="html-italic">t</span> test). (<b>D</b>,<b>E</b>) Dynamics of energy reserve contents in females after tethered flight. Fitting the trends of triglycerides (<b>D</b>) and glycogen (<b>E</b>) in the thorax and abdomen after 10 h of tethered flight treatment. Solid blue lines indicate the fitted curves (quadratic polynomial) of triglycerides and glycogen in each segment with red labels denoting the degree of fitting for trend lines. Each dot represents an individual with red dots indicating individuals that were not subjected to forced flight (<b>D</b>): <span class="html-italic">n</span> = 74; (<b>E</b>): <span class="html-italic">n</span> = 55.</p>
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19 pages, 7959 KiB  
Article
Improving the Performance of Mortar under Carbonization Curing by Adjusting the Composition of Ternary Binders
by Fufei Wu, Bumeng Yang, Pengfei Luo, Shuangkuai Dong, Hongying Wang, Qiuyue Zhang, Zonghui Huang, Jun Jiang, Yang Cai, Shan Yang and Fajun Xu
Materials 2024, 17(20), 5037; https://doi.org/10.3390/ma17205037 (registering DOI) - 15 Oct 2024
Viewed by 371
Abstract
As the most widely used building material, cement has attracted the attention of scholars because of its large carbon emission. To alleviate the problems of carbon emission and limited resource use caused by cement production, this study focuses on the performance of mortar [...] Read more.
As the most widely used building material, cement has attracted the attention of scholars because of its large carbon emission. To alleviate the problems of carbon emission and limited resource use caused by cement production, this study focuses on the performance of mortar after carbonization curing by regulating the composition of ternary binders. Testing involved mechanical parameters, carbon shrinkage, water absorption, hydration product, microstructure, adsorption of carbon dioxide, calcium carbonate content, and carbonization degree of mortar, as well as comparisons with the effect of calcium carbide slag and sintered red mud. We carried out several studies which demonstrated that carbonization curing and adjusting the content of calcium carbide slag and sintered red mud were beneficial to improve the mechanical properties, peak load displacement, slope, elastic energy, plastic energy, carbon shrinkage, carbon dioxide adsorption, calcium carbonate content, and carbonization degree of mortar, while the addition of calcium carbide slag and sintered red mud increased the water absorption of mortar, and the greater the dosage, the greater the water absorption. Meanwhile, adding 25%–50% calcium carbide slag and sintered red mud still had negative effects on the mechanical properties of mortar. But carbonation curing and the addition of calcium carbide slag and sintered red mud could promote the hydration reaction and consume calcium hydroxide formed by hydration to form calcium carbonate. When the dosage was 50%, the carbon dioxide adsorption capacity, calcium carbonate content, and carbonization degree of calcium carbide slag mortar were higher than those of sintered red mud mortar, which increased by 29.56%, 102.73%, and 28.84%, respectively. By comparison, calcium carbide slag and sintered red mud still showed superior carbon sequestration capacity, which was higher than fly ash and Bayer red mud. From the experiment, we came to realize that adjusting the composition of cementitious materials could realize the carbon sequestration of cement-based materials and promote the road toward low-carbon sustainable development of cement. Full article
(This article belongs to the Section Construction and Building Materials)
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<p>Factor design of cementitious materials.</p>
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<p>The flow chart of research.</p>
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<p>Compressive strength of mortar: (<b>a</b>) carbonization curing for 3 d; (<b>b</b>) carbonization curing for 28 d.</p>
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<p>Load vs. displacement curves of mortar.</p>
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<p>Mechanical parameters of mortar: (<b>a</b>) <span class="html-italic">E</span>; (<b>b</b>) <span class="html-italic">E</span>1; (<b>c</b>) <span class="html-italic">E</span>2; (<b>d</b>) <span class="html-italic">Lp</span>; (<b>e</b>) <span class="html-italic">Dp</span>; (<b>f</b>) slope.</p>
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<p>Carbon shrinkage of mortar: (<b>a</b>) carbonization curing for 3 d; (<b>b</b>) carbonization curing for 28 d.</p>
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<p>Mass loss of mortar: (<b>a</b>) carbonization curing for 3 d; (<b>b</b>) carbonization curing for 28 d.</p>
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<p>Water absorption rate of mortar: (<b>a</b>) carbonization curing for 3 d; (<b>b</b>) carbonization curing for 28 d.</p>
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<p>Saturated water absorption rate of mortar: (<b>a</b>) carbonization curing for 3 d; (<b>b</b>) carbonization curing for 28 d.</p>
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<p>The content of calcium hydroxide: (<b>a</b>) carbonization curing for 3 d; (<b>b</b>) carbonization curing for 28 d.</p>
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<p>The content of calcium silicate hydrate: (<b>a</b>) carbonization curing for 3 d; (<b>b</b>) carbonization curing for 28 d.</p>
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<p>Microstructure of mortar carbonized for 28 days: (<b>a</b>) CR0 with standard curing; (<b>b</b>) CR0; (<b>c</b>) CR1; (<b>d</b>) CR2; (<b>e</b>) CR3; (<b>f</b>) CR4; (<b>g</b>) CR5; (<b>h</b>) CR6.</p>
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<p>Microstructure of mortar carbonized for 28 days: (<b>a</b>) CR0 with standard curing; (<b>b</b>) CR0; (<b>c</b>) CR1; (<b>d</b>) CR2; (<b>e</b>) CR3; (<b>f</b>) CR4; (<b>g</b>) CR5; (<b>h</b>) CR6.</p>
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<p>Carbon sequestration of mortar: (<b>a</b>) adsorption of carbon dioxide; (<b>b</b>) calcium carbonate; (<b>c</b>) carbonation degree.</p>
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<p>Carbon sequestration amount of various cementing materials [<a href="#B36-materials-17-05037" class="html-bibr">36</a>,<a href="#B48-materials-17-05037" class="html-bibr">48</a>,<a href="#B49-materials-17-05037" class="html-bibr">49</a>,<a href="#B50-materials-17-05037" class="html-bibr">50</a>,<a href="#B51-materials-17-05037" class="html-bibr">51</a>,<a href="#B52-materials-17-05037" class="html-bibr">52</a>,<a href="#B53-materials-17-05037" class="html-bibr">53</a>,<a href="#B54-materials-17-05037" class="html-bibr">54</a>,<a href="#B55-materials-17-05037" class="html-bibr">55</a>,<a href="#B56-materials-17-05037" class="html-bibr">56</a>].</p>
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13 pages, 3044 KiB  
Article
Atomically Dispersed High-Active Site Density Copper Electrocatalyst for the Reduction of Oxygen
by Tao Jiang, Hongli Jiang, Weibin Wang, Hao Mu, Ying Zhang and Bo Li
Materials 2024, 17(20), 5030; https://doi.org/10.3390/ma17205030 (registering DOI) - 15 Oct 2024
Viewed by 237
Abstract
Enlarging the M-Nx active-site density is an effective route to enhance the ORR performance of M-N-C catalysts. In this work, a single-atom catalyst Cu–N@Cu–N–C with enlarged Cu–N4 active site density was prepared by the second doping and pyrolysis (SDP) of Cu–N–C derived [...] Read more.
Enlarging the M-Nx active-site density is an effective route to enhance the ORR performance of M-N-C catalysts. In this work, a single-atom catalyst Cu–N@Cu–N–C with enlarged Cu–N4 active site density was prepared by the second doping and pyrolysis (SDP) of Cu–N–C derived from Cu-doped zeolite imidazole frameworks. The half-wave potentials of Cu–N@Cu–N–C were measured as 0.85 V in alkaline electrolyte and 0.75 V in acidic media, which was 50 mV and 60 mV higher than that of Cu–N–C, respectively. N2 adsorption–desorption isotherm curves and corresponding pore distribution analysis were used to verify the successful filling of additional Cu and N in micropores of Cu–N–C after SDP. The obvious increase in Cu contents for Cu–N@Cu–N–C (1.92 wt%) compared with Cu–N–C (0.88 wt%) tested by ICP demonstrated the successful doping of Cu into Cu–N–C. XAFS analysis confirmed the presence of Cu–N4 single-atom active centers in Cu–N@Cu–N–C. The N 1 s high-resolution XPS results proved a great increase in Cu–N4 contents from 13.15% for Cu–N–C to 18.36% for Cu–N@Cu–N–C. The enhanced ORR performance of Cu–N@Cu–N–C was attributed to the enlargement of Cu–N4 active site density, providing an effective route for the preparation of efficient and low-cost ORR catalysts. Full article
(This article belongs to the Section Catalytic Materials)
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<p>Schematic illustration showing the preparation of Cu–N–C and Cu–N@Cu–N–C catalysts.</p>
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<p>Schematic illustration showing the preparation of Cu–N–C and Cu–N@Cu–N–C catalysts. (<b>a</b>) TEM, (<b>b</b>) HRTEM, (<b>c</b>) EDS, (<b>d</b>) SEM, and elemental maps of (<b>e</b>) C, (<b>f</b>) N, and (<b>g</b>) Cu of Cu–N@Cu–N–C catalyst. (<b>h</b>) XRD patterns of Cu–N–C and Cu–N@Cu–N–C and their acid etching–free samples. (<b>i</b>) N<sub>2</sub> adsorptiondesorption isotherm curves and corresponding micropore distribution of Cu–N–C and Cu–N@Cu–N–C. (<b>j</b>) Raman shift curves of Cu–N–C and Cu–N@Cu–N–C.</p>
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<p>(<b>a</b>) CV and (<b>b</b>) LSV curves of Cu–N–C, Cu–N@Cu–N–C and Pt/C. (<b>c</b>) LSV curves and (<b>d</b>) corresponding K–L plots of Cu–N@Cu–N–C tested with different rotating speeds ranges from 400 to 2025 rpm. (<b>e</b>) Long-term durability and (<b>f</b>) methanol tolerance tests of Cu–N@Cu–N–C and Pt/C at 0.7 V. All the measurements are based on a 0.1 M KOH electrolyte solution.</p>
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<p>(<b>a</b>) Tafel slope curves of Cu–N–C and Cu–N@Cu–N–C based on LSV measurements in 0.1 M KOH. (<b>b</b>) Yield of H<sub>2</sub>O<sub>2</sub> and (<b>c</b>) transferred electron number of Cu–N–C, Cu–N@Cu–N–C, and Pt/C in 0.1 M KOH. (<b>d</b>) LSV curves of Cu–N–C and Cu–N@Cu–N–C in acidic 0.1 M HClO<sub>4</sub> electrolyte solution.</p>
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<p>(<b>a</b>) XPS spectra evaluations of Cu–N–C and Cu–N@Cu–N–C. (<b>b</b>) High-resolution XPS patterns of N 1s spectra of Cu–N@Cu–N–C and Cu–N–C. (<b>c</b>) Cu 2p spectra of Cu–N@Cu–N–C and its counterpart sample without the acidic washing process. (<b>d</b>) XANES curves of Cu–N@Cu–N–C and its Cu foil, Cu<sub>2</sub>O, and Cu phthalocyanine (CuPc) counterparts. FT-EXAFS curves of the raw measurements and fitting results of (<b>e</b>) Cu–N@Cu–N–C and (<b>f</b>) Cu foil. (<b>g</b>) FT-EXAFS curves of Cu–N@Cu–N–C and its Cu foil and CuPc counterparts. The graphs beside (<b>g</b>) are the local enlarged picture of FT-EXAFS. The near pictures show the simulated chemical structure and local microscopic morphology of Cu–N@Cu–N–C.</p>
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22 pages, 6158 KiB  
Article
Spatial and Temporal Change Analysis of Urban Built-Up Area via Nighttime Lighting Data—A Case Study with Yunnan and Guizhou Provinces
by Qian Jing, Armando Marino, Yongjie Ji, Han Zhao, Guoran Huang and Lu Wang
Land 2024, 13(10), 1677; https://doi.org/10.3390/land13101677 - 14 Oct 2024
Viewed by 363
Abstract
As urbanization accelerates, characteristics of urban spatial expansion play a significant role in the future utilization of land resources, the protection of the ecological environment, and the coordinated development of population and land. In this study, Yunnan and Guizhou provinces were selected as [...] Read more.
As urbanization accelerates, characteristics of urban spatial expansion play a significant role in the future utilization of land resources, the protection of the ecological environment, and the coordinated development of population and land. In this study, Yunnan and Guizhou provinces were selected as the study area, and the 2013–2021 National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light (NTL) data were utilized for spatial and temporal change analysis of urban built-up areas. Firstly, the built-up areas in Yunnan and Guizhou provinces were extracted through ENUI (Enhanced Nighttime Lighting Urban Index) indices, and then the urban expansion speed and urban center of gravity migration were constructed and used to explore and analyze the spatial and temporal change and expansion characteristics of built-up areas in Yunnan and Guizhou provinces. The results showed the following. (1) Due to the complementarity between data types, such as NTL, EVI, NDBI, and NDWI, ENUI has better performance in expressing urban characteristics. (2) Influenced by national and local policies, such as “One Belt, One Road”, transportation infrastructure construction, geographic location, the historical background, and other factors, the urban expansion rate of Yunnan and Guizhou provinces in general showed a continuous advancement from 2013 to 2021, and there were three years in which the expansion rate was positive. (3) The center of gravity migration distance of most cities in Guizhou Province shows a trend of increasing and then decreasing, while the center of gravity migration distance in Yunnan Province shows a trend of continuous decrease in general. From the perspective of migration direction, Guizhou Province has the largest number of migrations to the northeast, while Yunnan Province has the largest number of migrations to the southeast. (4) Influenced by policy, economy, population, geography, and other factors, urban compactness in Yunnan and Guizhou provinces continued to grow from 2013 to 2021. The results of this study can help us better understand urbanization in western China, reveal the urban expansion patterns and spatial characteristics of Yunnan and Guizhou provinces, and provide valuable references for development planning and policymaking in Yunnan and Guizhou provinces. Full article
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<p>Location map of the research area. (<b>a</b>) Yunnan Province location map of Guizhou Province in China; (<b>b</b>) Yunnan Province and Guizhou Province digital elevation model (DEM).</p>
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<p>Workflow chart.</p>
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<p>Distribution characteristics of typical cities in Yunnan Province from 2013 to 2021.</p>
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<p>Distribution characteristics of typical cities in Guizhou Province from 2013 to 2021.</p>
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<p>(<b>a</b>) Map of built-up areas of Yunnan Province. (<b>b</b>) Map of built-up areas in Guizhou Province.</p>
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<p>Map of urban expansion rate in Yunnan and Guizhou provinces from 2013 to 2021. (<b>a</b>) Yunnan Province; (<b>b</b>) Guizhou Province.</p>
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<p>Migration map of urban centers of gravity in Yunnan and Guizhou provinces. (<b>a</b>) Yunnan Province; (<b>b</b>) Guizhou Province.</p>
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<p>Gray correlation diagram of Yunnan and Guizhou provinces.</p>
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22 pages, 11216 KiB  
Article
Spatial and Temporal Evolution and Conservation Significance of Traditional Villages in the Yangtze River Basin, China
by Yanlong Guo, Jiayi Rao, Jie Huang and Yelin Zhu
Buildings 2024, 14(10), 3249; https://doi.org/10.3390/buildings14103249 - 14 Oct 2024
Viewed by 344
Abstract
Traditionally, “ancient villages” are communities that date back to a previous era, possess abundant traditional resources, and hold significant historical, social, cultural, ecological, and economic significance. This study examines the geographical and chronological development of 2957 traditional communities in the Yangtze River Basin [...] Read more.
Traditionally, “ancient villages” are communities that date back to a previous era, possess abundant traditional resources, and hold significant historical, social, cultural, ecological, and economic significance. This study examines the geographical and chronological development of 2957 traditional communities in the Yangtze River Basin and extensively employs GIS spatial analysis, geostatistical analysis, and historical literature review to study the evolution of the locations of traditional settlements under various factors. The study’s findings revealed that: (1) From a geographical standpoint, the traditional villages in the study area present a distribution state of “two cores, small aggregation, and many dispersions”. The two core clusters are located at the intersection of Hunan, Guizhou, and Chongqing provinces, where the natural geographical advantages attracted people from different dynasties to settle here. (2) From a temporal perspective, the quantity of traditional villages shows a growing trend, and the distribution center of each dynasty shows an east–west direction. Among them, the shift from the Song to the Yuan dynasties marked the period of greatest change in village distribution, which originated from the Song Dynasty’s quick economic growth. In addition, the village distribution was clustered in the eastern part of the country, adapting to the needs of commercial trade. When the Song Dynasty fell, the society was in turmoil, and the villages were transferred to the central region to avoid the war. The Yuan Dynasty also laid down the fundamental distribution pattern of conventional villages. (3) From the standpoint of choosing a village location, most of them are distributed in mountainous, hilly, and plain regions; the gentle slopes of 0°~15° are favored by people. Sufficient water sources, abundant precipitation, and a suitable climate are also necessary choices. (4) From the perspective of driving factors, traditional village distribution in the basin is impacted by historical, cultural, social, and ecological factors. Included among these, traditional village distribution is inversely connected with socio-economic variables. Under the interaction of two factors, the distribution will be more affected. To summarize, the complex human geographic factors together create the conventional village dispersal pattern, and examining these elements holds substantial practical importance for comprehending, safeguarding, and preserving traditional villages. Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
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<p>Location of the research area.</p>
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<p>Spatial distribution of traditional villages in the Yangtze River Basin.</p>
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<p>Lorenz curve displaying the spatial arrangement of traditional villages in the Yangtze River Basin.</p>
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<p>Nuclear Density Evaluation of Historical Settlements in the Yangtze River Basin.</p>
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<p>The comprehensive development of traditional village spatial arrangements in the study area.</p>
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<p>Topographic factors affecting the Yangtze River basin.</p>
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<p>Climatic and hydrological factors affecting the Yangtze River Basin.</p>
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<p>The relationship between traditional village distribution and road density, GDP, population density and urbanization rate.</p>
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<p>The spread and development of historic villages in the basin across various dynasties.</p>
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<p>The correlation analysis among the factors affecting the spread of traditional villages.</p>
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23 pages, 6263 KiB  
Article
Lateral-Stability-Oriented Path-Tracking Control Design for Four-Wheel Independent Drive Autonomous Vehicles with Tire Dynamic Characteristics under Extreme Conditions
by Zhencheng Yu, Rongchen Zhao and Tengfei Yuan
World Electr. Veh. J. 2024, 15(10), 465; https://doi.org/10.3390/wevj15100465 - 13 Oct 2024
Viewed by 378
Abstract
This paper proposes a lateral-stability-oriented path-tracking controller for four-wheel independent drive (4WID) autonomous vehicles. The proposed controller aims to maintain vehicle stability under extreme conditions while minimizing lateral deviation. Firstly, a tiered control framework comprising upper-level and lower-level controllers is introduced. The upper-level [...] Read more.
This paper proposes a lateral-stability-oriented path-tracking controller for four-wheel independent drive (4WID) autonomous vehicles. The proposed controller aims to maintain vehicle stability under extreme conditions while minimizing lateral deviation. Firstly, a tiered control framework comprising upper-level and lower-level controllers is introduced. The upper-level controller is a lateral stability path-tracking controller that incorporates tire dynamic characteristics, developed using model predictive control (MPC) theory. This controller dynamically updates the tire lateral force constraints in real time to account for variations in tire dynamics under extreme conditions. Additionally, it enhances lateral stability and reduces path-tracking errors by applying additional yaw torque based on minimum tire utilization. The lower-level controllers execute the required steering angles and yaw moments through the appropriate component equipment and torque distribution. The joint simulation results from CarSim and MATLAB/Simulink show that, compared to the traditional MPC controller with unstable sideslip, this controller can maintain vehicle lateral stability under extreme conditions. Compared to the MPC controller, which only considers lateral force constraints, this controller can significantly reduce lateral tracking errors, with an average yaw rate reduction of 31.62% and an average sideslip angle reduction of 40.21%. Full article
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<p>The proposed path-tracking control system utilizes a hierarchical control architecture.</p>
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<p>Seven-degree vehicle dynamics model.</p>
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<p>A simplified vehicle model with two degrees of freedom.</p>
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<p>Co-simulation block diagram.</p>
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<p>Comparison results: (<b>a</b>) global path; (<b>b</b>) front wheel angle.</p>
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<p>Comparison results: (<b>a</b>) lateral error; (<b>b</b>) yaw rate; (<b>c</b>) sideslip angle.</p>
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<p>Control outputs: (<b>a</b>) additional yaw moment; (<b>b</b>) wheel torque of controller C.</p>
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<p>Comparison results: (<b>a</b>) Global path; (<b>b</b>) Front wheel angle.</p>
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<p>Comparison results: (<b>a</b>) lateral error; (<b>b</b>) yaw rate; (<b>c</b>) sideslip angle.</p>
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<p>Control outputs: (<b>a</b>) additional yaw moment; (<b>b</b>) wheel torque of controller C.</p>
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<p>Comparison results of simulation scenario 3: (<b>a</b>) global path; (<b>b</b>) lateral error; (<b>c</b>) front wheel angle; (<b>d</b>) sideslip angle.</p>
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<p>Comparison results of simulation scenario 4: (<b>a</b>) global path; (<b>b</b>) lateral error; (<b>c</b>) front wheel angle; (<b>d</b>) sideslip angle.</p>
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<p>Controller calculation time: (<b>a</b>) scenario 1; (<b>b</b>) scenario 2.</p>
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16 pages, 4489 KiB  
Article
Endophytic Fungus UJ3-2 from Urtica fissa: Antibacterial Activity and Mechanism of Action against Staphylococcus aureus
by Fei Liao, Jie He, Renjun Li and Yanchun Hu
Molecules 2024, 29(20), 4850; https://doi.org/10.3390/molecules29204850 (registering DOI) - 13 Oct 2024
Viewed by 300
Abstract
Taking the endophytic fungus UJ3-2, isolated from Urtica fissa, as the experimental material, this study aimed to explore the composition of its metabolites and the underlying mechanisms by which it inhibits Staphylococcus aureus. Initially, the MIC, MBC, inhibitory curves, biofilm growth, [...] Read more.
Taking the endophytic fungus UJ3-2, isolated from Urtica fissa, as the experimental material, this study aimed to explore the composition of its metabolites and the underlying mechanisms by which it inhibits Staphylococcus aureus. Initially, the MIC, MBC, inhibitory curves, biofilm growth, and extracellular nucleic acids and proteins of S. aureus in response to the metabolites were measured. Secondly, PI staining and SEM were used to evaluate the impact of the metabolites on the integrity of the cell wall and overall morphology of S. aureus. Additionally, UPLC-MS was employed to analyze the composition of the secondary metabolites. The UJ3-2 strain was identified as Xylaria grammica based on ITS sequencing and designated as Xylaria grammica UJ3-2. Our results revealed that the metabolites of UJ3-2 exhibited excellent in vitro antibacterial activity against S. aureus, with both MIC and MBC values of 3.125 mg/mL. The inhibitory curve confirmed that 1 MIC of UJ3-2 metabolites could completely inhibit the growth of S. aureus within 24 h. With increasing concentrations of UJ3-2 metabolites, the growth of S. aureus biofilms was significantly suppressed, and obvious leakage of nucleic acids and proteins was observed. PI fluorescence staining indicated that various concentrations of UJ3-2 metabolites disrupted the integrity of the S. aureus cell membrane. SEM observation revealed that the treated S. aureus surfaces became rough, and the bacteria shrank and adhered to each other, showing a dose-dependent effect. UPLC-MS analysis suggested that the main components of the fermented metabolites were 6-oxocineole (17.92%), (S)-2-acetolactate (9.91%), 3-methyl-cis,cis-muconate (4.36%), and 8-oxogeranial (3.17%). This study demonstrates that the endophytic fungus UJ3-2 exhibits remarkable in vitro antibacterial effects against S. aureus, primarily by enhancing the permeability of the S. aureus cell membrane, causing the leakage of its intracellular contents, and altering the bacterial surface morphology to inhibit the pathogen. The endophytic fungus UJ3-2 has a good antibacterial effect on S. aureus, which gives it certain application prospects in the screening and industrial production of new and efficient natural antibacterial active substances. Full article
(This article belongs to the Section Natural Products Chemistry)
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<p>Phylogenetic tree based on ITS rDNA sequence.</p>
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<p>Total ion chromatogram, TIC. (<b>A</b>) Positive mode; (<b>B</b>) Negative mode.</p>
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<p>Effects of UJ3-2 fermentation products on growth of <span class="html-italic">S. aureus</span>.</p>
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<p>Effects of UJ3-2 fermentation products on growth of <span class="html-italic">S. aureus</span> biofilm. At the same time point, different letters represented significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of UJ3-2 fermentation products on extracellular nucleic acid and protein of <span class="html-italic">S. aureus.</span> (<b>A</b>) OD<sub>260nm</sub>; (<b>B</b>) OD<sub>280nm</sub>. At the same time point, different letters represented significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different concentrations of UJ3-2 fermentation product on cell membrane integrity of <span class="html-italic">S. aureus</span> (fluorescence microscope). Note: (<b>A</b>) negative control group ((<b>A1</b>) bright field, (<b>A2</b>) dark field); (<b>B</b>) 1/4 MIC group ((<b>B1</b>) bright field, (<b>B2</b>) dark field); (<b>C</b>) 1/2 MIC group ((<b>C1</b>) bright field, (<b>C2</b>) dark field); (<b>D</b>) 1 MIC group ((<b>D1</b>) bright field, (<b>D2</b>) dark field).</p>
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<p>Effect of 1/2 MIC of UJ3-2 fermentation product on morphology of <span class="html-italic">S. aureus</span> cells. Note: (<b>A</b>,<b>B</b>) normal controls; (<b>C</b>,<b>D</b>) processing group.</p>
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21 pages, 3598 KiB  
Article
Potato–Soybean Intercropping Increased Equivalent Tuber Yield by Improving Rhizosphere Soil Quality, Root Growth, and Plant Physiology of Potato
by Can Wang, Zelin Yi, Siyu Chen, Fangli Peng, Qiang Zhao, Zhurui Tang, Mingbo Shao and Dianqiu Lv
Agronomy 2024, 14(10), 2362; https://doi.org/10.3390/agronomy14102362 - 13 Oct 2024
Viewed by 571
Abstract
Potato–legume intercropping has been confirmed to increase productivity in modern agricultural systems. However, the physiological and ecological mechanisms of potato–soybean intercropping for promoting tuber yield formation in potato remain unclear. Field experiments were conducted in 2022 and 2023 to explore the responses of [...] Read more.
Potato–legume intercropping has been confirmed to increase productivity in modern agricultural systems. However, the physiological and ecological mechanisms of potato–soybean intercropping for promoting tuber yield formation in potato remain unclear. Field experiments were conducted in 2022 and 2023 to explore the responses of tuber yield formation, rhizosphere soil quality, root growth, and plant physiology of potato in potato–soybean intercropping. The soil at the experimental site is Cambisols. The treatments included sole cropping potato, sole cropping soybean, and potato–soybean intercropping. Our results indicated that potato –soybean intercropping decreased the water content, increased the total K content and activities of urease and catalase in rhizosphere soil, and enhanced the root mean diameter, root projected area, and root length density in the 0–5 cm and 15–20 cm soil layers of potato. Moreover, potato–soybean intercropping improved the plant photosynthetically active radiation and light transmittance rate of the middle and lower layers as well as the leaf area index, enhanced the leaf chlorophyll b content and ribulose-1,5-diphosphate carboxylase/oxygenase activity, and increased the leaf net photosynthetic rate and organ dry matter accumulation amounts of potato. The changes in the above parameters resulted in an increased tuber weight per plant (19.4%) and commercial tuber number (42.5%) and then enhanced the equivalent tuber yield of potato (38.2%) and land equivalent ratio (1.31 in 2022 and 1.33 in 2023). Overall, potato–soybean intercropping greatly increased the equivalent tuber yield by improving the rhizosphere soil quality, root growth, and plant physiology of potato and then achieved a higher land equivalent ratio. Full article
(This article belongs to the Section Farming Sustainability)
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<p>The precipitation, maximum air temperature, minimum air temperature, and mean air temperature during the experiment.</p>
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<p>Schematic layout diagram of field experimental treatments (<b>A</b>–<b>C</b>) and growing periods (from sowing to harvesting) of potato and soybean (<b>D</b>). SCP: sole cropping potato; SCS: sole cropping soybean; PSI: potato–soybean intercropping.</p>
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<p>Effects of potato–soybean intercropping on leaf chlorophyll a (Chl-a, (<b>A</b>,<b>B</b>)), chlorophyll b (Chl-b, (<b>C</b>,<b>D</b>)), and total chlorophyll (Chl-T, (<b>E</b>,<b>F</b>)) contents in potato. Data are the mean of three replicates, and different lowercase letters in the same year within a stage indicate significant differences among treatments at the 0.05 level. SCP: sole cropping potato; PSI: potato–soybean intercropping; Y: year; T: treatment. ns, *, **, and *** indicate not significant and significant at the 0.05, 0.01, and 0.001 levels, respectively.</p>
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<p>Effects of potato–soybean intercropping on leaf ribulose-1,5-diphosphate carboxylase/oxygenase (Rubisco) activity (<b>A</b>,<b>B</b>), sucrose phosphate synthetase (SPS) activity (<b>C</b>,<b>D</b>), and net photosynthetic rate (<span class="html-italic">P</span><sub>n</sub>, (<b>E</b>,<b>F</b>)) in potato. Data are the mean of three replicates, and different lowercase letters in the same year within a stage indicate significant differences among treatments at the 0.05 level. SCP: sole cropping potato; PSI: potato–soybean intercropping; Y: year; T: treatment. ns, *, and *** indicate not significant and significant at the 0.05 and 0.001 levels, respectively.</p>
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<p>Effects of potato–soybean intercropping on dry matter accumulation amounts (DAs) of root (<b>A</b>,<b>B</b>), culm (<b>C</b>,<b>D</b>), leaf (<b>E</b>,<b>F</b>), and tuber (<b>G</b>,<b>H</b>) in potato. Data are the mean of three replicates, and different lowercase letters in the same year within a stage indicate significant differences among treatments at the 0.05 level. SCP: sole cropping potato; PSI: potato–soybean intercropping; Y: year; T: treatment. ns, *, **, and *** indicate not significant and significant at the 0.05, 0.01, and 0.001 levels, respectively.</p>
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<p>Conceptual diagram of mechanism for potato–soybean intercropping to increase equivalent tuber yield by improving rhizosphere soil quality, root growth, and plant physiology of potato. The red and blue arrows next to parameters indicate increase and decrease, respectively. WC: water content; TK: total K; UE: urease; CAT: catalase; RMD: root mean diameter; RPA: root projected area; RLD1: root length density in 0–5 cm soil layer; RLD3; root length density in 15–20 cm soil layer; PAR-M: photosynthetically active radiation of middle layer; PAR-L: photosynthetically active radiation of lower layer; LTR-M: light transmittance rate of middle layer; LTR-L: light transmittance rate of lower layer; LAI: leaf area index; <span class="html-italic">P</span><sub>n</sub>: net photosynthetic rate; Chl-b: chlorophyll b; Rubisco: ribulose-1,5-diphosphate carboxylase/oxygenase; DA-R: dry matter accumulation amount of root; DA-C: dry matter accumulation amount of culm; DA-L: dry matter accumulation amount of leaf; DA-T: dry matter accumulation amount of tuber; TWPP: tuber weight per plant; CTN: commercial tuber number; ETY: equivalent tuber yield; LER: land equivalent ratio.</p>
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14 pages, 2852 KiB  
Article
Distillers’ Grains Peptides Scavenge Free Radicals and Influence Volatile Compounds of Chi-Aroma Baijiu
by Renjie Zhang, Xi Hu, You Luo, Siqin Zheng and Zhenqiang Wu
Appl. Sci. 2024, 14(20), 9326; https://doi.org/10.3390/app14209326 (registering DOI) - 13 Oct 2024
Viewed by 480
Abstract
The production of Chi-aroma Baijiu generates free radicals, which may pose potential health risks. This study aimed to scavenge free radicals in Chi-aroma Baijiu and assess the impact on the composition of volatile compounds (VOCs) by using distillers’ grains-derived homologous peptides. Five peptides—Pro-Ala [...] Read more.
The production of Chi-aroma Baijiu generates free radicals, which may pose potential health risks. This study aimed to scavenge free radicals in Chi-aroma Baijiu and assess the impact on the composition of volatile compounds (VOCs) by using distillers’ grains-derived homologous peptides. Five peptides—Pro-Ala (PA), Pro-Val (PV), Gly-Leu (GL), Asp-Phe (DF), and Pro-Leu (PL)—were isolated from the distillers’ grain filtrate. These peptides are present in trace amounts in Chi-aroma Baijiu. By supplementing five peptides to Chi-aroma Baijiu, they could completely scavenge hydroxyl radicals. The rate of scavenging alkoxy radicals ranged from 10.84% to 35.66%. Furthermore, these peptides had an impact on ethyl nonanoate, diethyl acetal, and octanal, which were recognized as characteristic compounds. Ultraviolet spectroscopy simulation revealed that the highest absorption peaks of certain peptides shift when they interact with various esters. Those peptides interact with ethyl acetate and ethyl lactate via hydrogen bonding and Van der Waals forces, demonstrating their influence on VOCs. These findings offer new insights into free radical scavenging, flavor compound regulation, and the valorization of Baijiu by-products in Chi-aroma Baijiu production. Full article
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<p>MS/MS spectrum of five peptides fractions. (<b>A</b>–<b>E</b>) represents the peptides Pro-Ala (PA), Pro-Val (PV), Gly-Leu (GL), Asp-Phe (DF), and Pro-Leu (PL) MS/MS spectrum respectively.</p>
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<p>The content of peptides Pro-Ala (PA), Pro-Val (PV), Gly-Leu (GL), Asp-Phe (DF), and Pro-Leu (PL) in distillers’ grain filtrate and Chi-aroma Baijiu. Different letters represent statistically different values at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Free radical scavenging capacity of five peptides Pro-Ala (PA), Pro-Val (PV), Gly-Leu (GL), Asp-Phe (DF), and Pro-Leu (PL). Different letters represent statistically different values at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The changes of free radicals in Chi-aroma Baijiu. (<b>A</b>) EPR spectrum of free radical, (<b>B</b>) Pro-Ala (PA), Pro-Val (PV), Gly-Leu (GL), Asp-Phe (DF), Pro-Leu (PL) free radical scavenging rate in Chi-aroma Baijiu. Different letters represent statistically different values at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The changes of VOCs in Chi-aroma Baijiu after adding peptides. (<b>A</b>) Heat map of VOCs, (<b>B</b>) Concentration of VOCs. Different letters represent statistically different values at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>PLS-DA analysis. (<b>A</b>) Score graph, (<b>B</b>) Model validation, (<b>C</b>) Hierarchical clustering analysis.</p>
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<p>Ultraviolet absorption spectrum of mixed peptides and esters. (<b>A</b>–<b>F</b>) represents the peptides Pro-Ala (PA), Pro-Val (PV), Gly-Leu (GL), Asp-Phe (DF), Pro-Leu (PL), and glutathione (GSH) mixed with ethyl acetate and ethyl lactate, respectively.</p>
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19 pages, 5360 KiB  
Article
Genome-Wide Identification of the Peanut ASR Gene Family and Its Expression Analysis under Abiotic Stress
by Jiaxing Li, Mingxia Ma, Tuo Zeng, Lei Gu, Bin Zhu, Hongcheng Wang, Xuye Du and Xiu Zhu
Int. J. Mol. Sci. 2024, 25(20), 11008; https://doi.org/10.3390/ijms252011008 - 13 Oct 2024
Viewed by 471
Abstract
Peanut (Arachis hypogaea L.) is one of the most important oil and food legume crops worldwide. ASR (abscisic acid, stress, ripening) plays extremely important roles in plant growth and development, fruit ripening, pollen development, and stress. Here, six ASR genes were identified [...] Read more.
Peanut (Arachis hypogaea L.) is one of the most important oil and food legume crops worldwide. ASR (abscisic acid, stress, ripening) plays extremely important roles in plant growth and development, fruit ripening, pollen development, and stress. Here, six ASR genes were identified in peanut. Structural and conserved motif analyses were performed to identify common ABA/WDS structural domains. The vast majority of ASR genes encoded acidic proteins, all of which are hydrophilic proteins and localized on mitochondria and nucleus, respectively. The cis-element analysis revealed that some cis-regulatory elements were related to peanut growth and development, hormone, and stress response. Under normal growth conditions, AhASR4 and AhASR5 were expressed in all tissues of peanut plants. Quantitative real-time PCR (qRT-PCR) results indicated that peanut ASR genes exhibited complex expression patterns in response to abiotic stress. Notably, under drought and cadmium (Cd) stress, the expression levels of AhASR4 and AhASR5 were significantly upregulated, suggesting that these genes may play a crucial role in the peanut plant’s resistance to such stressors. These results provide a theoretical basis for studying the evolution, expression, and function of the peanut ASR gene family and will provide valuable information in the identification and screening of genes for peanut stress tolerance breeding. Full article
(This article belongs to the Special Issue Omics Study to Uncover Signalling and Gene Regulation in Plants 2.0)
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<p>Chromosome distribution of <span class="html-italic">AhASR</span> members.</p>
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<p>A phylogenetic analysis of ASR proteins from peanut, soybean, cowpea, chickpea, kidney bean, alfalfa, and rice. The various colors and letters of the outer circle represent four distinct branches.</p>
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<p>Phylogenetic, structural, and conserved motif analysis of <span class="html-italic">ASR</span> genes in peanut. (<b>A</b>) Phylogenetic tree of AhASRs. (<b>B</b>) Motif analysis of AhASRs. Colored boxes indicate the different conserved motifs as indicated in the scheme to the right of the figure. (<b>C</b>) Exon–intron structures of <span class="html-italic">AhASRs</span>.</p>
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<p>Alignments of AhASR amino acid sequences.</p>
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<p>Distribution of cis-acting elements in the promoter region. Graphs in different colors represent different classes of cis-acting elements.</p>
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<p>Gene duplication and collinearity analysis of AhASRs (<b>A</b>) Inter-species collinearity analysis of <span class="html-italic">ASR</span> genes of peanut, soybean, and alfalfa. (<b>B</b>) The lines in blue represent collinearity relationships among the ASR genes. The two outermost circles in Fig. A represent gene density.</p>
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<p>Interaction network analysis of AhASR proteins. The STRING database was employed to predict the protein–protein interaction networks. The red color represents the AhASR proteins, while the green color indicates other proteins that interact directly with AhASRs.</p>
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<p>Expression analysis of <span class="html-italic">AhASR</span> genes in different tissues.</p>
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<p>Expression levels of <span class="html-italic">AhASRs</span> were measured at different time points under 15% PEG stress in peanut leaves (<b>A</b>) and roots (<b>B</b>). Bars with the same letters indicate no significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Expression levels of <span class="html-italic">AhASRs</span> in leaves (<b>A</b>) and roots (<b>B</b>) at different times under 200 mM NaCl stress. Bars represented by the same letters are not significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Expression levels of <span class="html-italic">AhASRs</span> in leaves (<b>A</b>) and roots (<b>B</b>) at different times under 0.1 mM Al stress. Bars represented by the same letters are not significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Expression levels of <span class="html-italic">AhASRs</span> at different times in leaves (<b>A</b>) and roots (<b>B</b>) under 2 mM Cd stress. Bars represented by the same letters are not significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
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12 pages, 2165 KiB  
Article
Effect of Lentilactobacillus buchneri on Chemical and Microbial Compositions of Herba Leonuri (Leonurus japonicus Houtt.)-Contained Alfalfa Silage
by Mingjie Zhang, Chaosheng Liao, Xiaolong Tang, Bi Wang, Guangrou Lu, Cheng Chen, Xiaokang Huang, Lin Li, Ping Li and Chao Chen
Fermentation 2024, 10(10), 519; https://doi.org/10.3390/fermentation10100519 - 13 Oct 2024
Viewed by 426
Abstract
Lactic acid bacteria (LAB) inoculants are commonly used in silage production, yet their effects on silage containing antimicrobial components, such as those found in Leonurus japonicus, remain less explored. Herein, the harvested alfalfa were thoroughly mixed with dried Leonurus japonicus Houtt. (LJH) [...] Read more.
Lactic acid bacteria (LAB) inoculants are commonly used in silage production, yet their effects on silage containing antimicrobial components, such as those found in Leonurus japonicus, remain less explored. Herein, the harvested alfalfa were thoroughly mixed with dried Leonurus japonicus Houtt. (LJH) at a ratio of 9:1 on a fresh weight basis and treated without (CK) or with a lactic acid bacterial inoculant (L; Lentilactobacillus buchneri). The mixtures were stored under anaerobic conditions in vacuum-sealed polyethylene bags for 30 days at ambient temperature. The L-treated silage exhibited high levels of water-soluble carbohydrates (4.98% dry matter (DM)) and acid detergent fiber (27.88% DM). Compared to that of treatment CK, treatment with L increased the acetic acid content of the silage, as a result of increased (p < 0.05) bacterial dominance and decreased (p < 0.05) bacterial richness indices (e.g., Pielou’s E, Shannon, and Simpson) in the pre-storage period. However, these changes gradually reduced as the storage length increased. Treatment L reshaped the bacterial community structure of silage, by increasing the prevalence of Lactobacillus and reducing relative abundances of Enterococcus and Weissella. However, the principal coordinate and Bray–Curtis index analyses illustrated that samples from the L-treated silages exhibited similarities to the CK samples post-fermentation. Overall, the effect of LJH on LAB was only observed in the later stages of fermentation, which did not sufficiently change the silage quality. Hence, using LJH in silage is vital for clean livestock production without compromising the function of LAB when mixed with alfalfa silage. Full article
(This article belongs to the Section Industrial Fermentation)
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<p>Relative abundance of the dominant phylum (<b>a</b>) and genera (<b>b</b>) in alfalfa after anaerobic fermentation. CK, without additives; L, <span class="html-italic">Lentilactobacillus buchneri</span>; FM, fresh materials.</p>
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<p>PCoA plot (<b>a</b>) of the bacterial community structure of alfalfa following anaerobic fermentation; comparison of Bray–Curtis distances for the two treatments (<b>b</b>). CK, without additives; L, <span class="html-italic">Lentilactobacillus buchneri</span>.</p>
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<p>Bacterial volcanograms of genus-level differences between the two treatments after 3 (<b>a</b>), 7 (<b>b</b>), 15 (<b>c</b>), and 30 (<b>d</b>) days of anaerobic fermentation.</p>
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