21:I[432972,["/_next/static/chunks/bb923814e1f4d2e9.js","/_next/static/chunks/dd3ee9f5b7716ca6.js","/_next/static/chunks/4204a0ae82542ca8.js","/_next/static/chunks/1270dead247da766.js","/_next/static/chunks/6e1aa89a642f40be.js","/_next/static/chunks/2d7aa753e81324a8.js","/_next/static/chunks/8ffd0b71567920d8.js","/_next/static/chunks/67ea6dfd21f16c5f.js","/_next/static/chunks/24eb4379f68013fd.js","/_next/static/chunks/b8cd775ffdf935bd.js","/_next/static/chunks/983103cd9eb7b428.js","/_next/static/chunks/263f2cdcb9aa2341.js","/_next/static/chunks/294b9525248c8e5f.js"],"default"] 22:T475,As a common kind of food, pepper is well known for its special effects on the physiological state of human individuals. Capsaicin, the main component of pepper, is speculated to be linked with intestinal microorganisms on account of their direct contact. Herein, we first utilized mouse models and 16S rRNA high-throughput sequencing to compare the differences in intestinal flora between mouse groups with and without capsaicin treatment by gavage. The mice in the two groups showed significantly distinct performance in terms of body weight, leukocyte count, fecal humidity, and constituent ratios of intestinal bacteria, such as Faecalibacterium, Akkermansia, Roseburia, Helicobacter, and Bacteroides species. In particular, the Faecalibacterium abundance was the most highly variable among the 5 bacterial genera. Based on statistical analysis and comparison, the variation tendency of body weight, leukocyte count, and fecal humidity was closely related to the bacteria. In conclusion, capsaicin could affect the physiological state of mice by changing the constitution of the intestinal flora.23:T497,Drought stress is a major abiotic factor restricting crop production. frequently suffers from drought stress as it is mainly planted in the harsh environments. Little research on the identification of drought-tolerant loci or genes of barley has been performed up to date. Here, we determined the phenotypic variation of drought tolerance in a barley population from the International Barley Core Selected Collection (BCS). Under drought stress, shoot water content showed the distinct difference among barley genotypes and the maximum consistency for a given genotype under the two planting conditions. Twenty significant SNPs (P < 10−3) and 41 candidate genes were identified by genome-wide association study (GWAS)on the examined barley accessions. Furthermore, transcriptomic analysis (RNA-Seq) identified 2030 and 1947 differentially expression genes (DEGs) in the leaves of a drought-sensitive genotype BCS8 and a tolerant genotype BS24, respectively, and they are mainly involved in water deficit processes in GO analysis and metabolic pathways in KEGG analysis. Finally, seven DEGs were confirmed by qRT-PCR as drought-responding genes, including WRKY, NPF and FLA.24:T52c,Seed vigor is a key factor that determines the quality of seeds, which is of great significance for agricultural production, with the potential to promote growth and productivity. However, the underlying molecular mechanisms and genetic basis for seed vigor remain unknown. High-density genetic linkage mapping is an effective method for genomic study and quantitative trait loci (QTL) mapping. In this study, a high-density genetic map was constructed from a 148 BC₄F₃ population cross between 'M03' and 'M08' strains based on specific-locus amplified fragment (SLAF) sequencing. The constructed high-density genetic linkage map (HDGM) included 3876 SNP markers on ten chromosomes covering 2413.25 cM in length, with a mean distance between markers of 0.62 cM. QTL analysis was performed on four sweet corn germination traits that are related to seed vigor under artificial aging conditions. A total of 18 QTLs were identified in two seasons. Interestingly, a stable QTL was detected in two seasons on chromosome 10-termed qGR10-within an interval of 1.37 Mb. Within this interval, combined with gene annotation, we found four candidate genes

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1	Medicine	5	5	164
2	Natural Sciences	4	4	144
3	Biology	4	4	144
4	Engineering	1	1	14
5	Biochemistry	1	1	20

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