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您的检索式：作者名="Feifan Yin"
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| 1 | BnVIR:bridging the genotype-phenotype gap to accelerate mining of candidate variations underlying agronomic traits in Brassica napus显示文摘Dear Editor,Genetic variations,which range from single nucleotide polymor-phisms(SNPs)and short insertion/deletions(InDels)to large-scale structural variations(SVs),are the basis of phenotypic diversity.Understanding the effect of genetic variations on traits is critical for uncovering the genetic architecture of various phe-notypes. | Zhiquan Yang Congyuan Liang LuLu Wei Shengbo Wang Feifan Yin Dongxu Liu Liang Guo Yongming Zhou Qing-Yong Yang | 2022 | Molecular Plant2022，15，5： | 2 |
| 2 | Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL,significant SNP and transcriptomic data显示文摘Background:Meta-analysis of quantitative trait locus(QTL)is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies.The combination of meta-QTL intervals,significant SNPs and transcriptome analysis has been widely used to identify candidate genes in various plants.Results:In our study,884 QTLs associated with cotton fiber quality traits from 12 studies were used for meta-QTL analysis based on reference genome TM-1,as a result,74 meta-QTLs were identified,including 19 meta-QTLs for fiber length;18 meta-QTLs for fiber strength;11 meta-QTLs for fiber uniformity;11 meta-QTLs for fiber elongation;and 15 meta-QTLs for micronaire.Combined with 8589 significant single nucleotide polymorphisms associated with fiber quality traits collected from 15 studies,297 candidate genes were identified in the meta-QTL intervals,20 of which showed high expression levels specifically in the developing fibers.According to the function annotations,some of the 20 key candidate genes are associated with the fiber development.Conclusions:This study provides not only stable QTLs used for marker-assisted selection,but also candidate genes to uncover the molecular mechanisms for cotton fiber development. | XU Shudi PAN Zhenyuan YIN Feifan YANG Qingyong LIN Zhongxu WEN Tianwang ZHU Longfu ZHANG Dawei NIE Xinhui | 2020 | Journal of Cotton Research2020，3，4： | 1 |
| 3 | Biosorption of inorganic and organic arsenic from aqueous solution by Acidithiobacillus ferrooxidans BY-3显示文摘 | Lei Yan Huanhuan Yin Shuang Zhang Feifan Leng Wenbin Nan Hongyu Li | 2010 | Journal of Hazardous Materials2010，，1： | 1 |
| 4 | Leucine deprivation results in antidepressant effects via GCN2 in AgRP neurons显示文摘Essential amino acids(EAAs)are crucial nutrients,whose levels change in rodents and patients with depression.However,how the levels of a single EAA affects depressive behaviors remains elusive.Here,we demonstrate that although deprivation of the EAA leucine has no effect in unstressed mice,it remarkably reverses the depression-like behaviors induced by chronic restraint stress(CRS).This beneficial effect is independent of feeding and is applicable to the dietary deficiency of other EAAs.Furthermore,the effect of leucine deprivation is suppressed by central injection of leucine or mimicked by central injection of leucinol.Moreover,hypothalamic agouti-related peptide(AgRP)neural activity changes during CRS and leucine deprivation,and chemogenetically inhibiting AgRP neurons eliminates the antidepressant effects of leucine deprivation.Finally,the leucine deprivation-regulated behavioral effects are mediated by amino acid sensor general control non-derepressible 2(GCN2)in AgRP neurons.Taken together,our results suggest a new drug target and/or dietary intervention for the reduction of depressive symptoms. | Feixiang Yuan Shangming Wu Ziheng Zhou Fuxin Jiao Hanrui Yin Yuguo Niu Haizhou Jiang Shanghai Chen Feifan Guo | 2023 | Life Metabolism2023，2，1： | 0 |
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