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| 1 | 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 |
| 2 | Re- trieving Atmospheric Temperature Profiles from AM- SU-A data with Neural Networks 显示文摘 | YAO Zhigang CHEN Hongbin LIN Longfu | 2005 | Advances in Atmospherie Sciences2005，22，4： | 1 |
| 3 | Retrieving atmospheric temperature profiles from AMSU-A data with neural networks显示文摘 | Yao Zhigang Chen Hongbin Lin Longfu | 2005 | Advances in Atnisogeruc Sciences2005，22，4： | 1 |
| 4 | miR398b negatively regulates cotton immune responses to Verticillium dahliae via multiple targets显示文摘MicroRNAs(miRNAs)play essential roles in plant defense responses,although such roles have not been identified in cotton in response to the plant pathogenic fungus Verticillium dahliae.In this study,the functions of miR398b and its target genes in cotton-V.dahliae interaction were investigated.The transcript levels of miR398b were down-regulated by V.dahliae infection and miR398b overexpression in cotton made the plants more susceptible to V.dahliae.The results suggest that miR398b negatively regulates cotton resistance to V.dahliae.This may occur by miR398b repression of some CC-NBS-LRR genes via translational inhibition,interfering with defense responses and leading to cotton susceptibility to V.dahliae.Alternatively,miR398b may guide the cleavage of the mRNAs of GhCSD1,GhCSD2 and GhCCS,each of which functions in reactive oxygen species(ROS)regulation and homeostasis,thereby causing excessive ROS accumulation in miR398b-overexpressing plants in response to V.dahliae infection.This study suggests conserved and novel roles of miR398b in the cotton–V.dahliae interaction.These discoveries may be coupled with new strategies in cotton breeding programs to improve resistance to V.dahliae. | Yuhuan Miao Kun Chen Jinwu Deng Lin Zhang Weiran Wang Jie Kong Steven J.Klosterman Xianlong Zhang Alifu Aierxi Longfu Zhu | 2022 | The Crop Journal2022，10，4： | 0 |
| 5 | Association mapping and domestication analysis to dissect genetic improvement process of upland cotton yield-related traits in China显示文摘Background: Cotton fiber yield is a complex trait,which can be influenced by multiple agronomic traits.Unravelling the genetic basis of cotton fiber yield-related traits contributes to genetic improvement of cotton.Results: In this study,503 upland cotton varieties covering the four breeding stages(BS1–BS4,1911–2011)in China were used for association mapping and domestication analysis.One hundred and forty SSR markers significantly associated with ten fiber yield-related traits were identified,among which,29 markers showed an increasing trend contribution to cotton yield-related traits from BS1 to BS4,and 26 markers showed decreased trend effect.Four favorable alleles of 9 major loci(R^(2)≥3)were strongly selected during the breeding stages,and the candidate genes of the four strongly selected alleles were predicated according to the gene function annotation and tissue expression data.Conclusions :The study not only uncovers the genetic basis of 10 cotton yield-related traits but also provides genetic evidence for cotton improvement during the cotton breeding process in China. | GUO Chunping PAN Zhenyuan YOU Chunyuan ZHOU Xiaofeng HUANG Cong SHEN Chao ZHAO Ruihai YANG Qingyong ZHU Longfu SHAHZAD Raheel MENG Fande LIN Zhongxu NIE Xinhui | 2021 | Journal of Cotton Research2021，4，2： | 0 |
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