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Meta-analysis of soybean amino acid QTLs and candidate gene mining
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  • 英文篇名:Meta-analysis of soybean amino acid QTLs and candidate gene mining
  • 作者:GONG ; Qian-chun ; YU ; Hong-xiao ; MAO ; Xin-rui ; QI ; Hui-dong ; SHI ; Yan ; XIANG ; Wei ; CHEN ; Qing-shan ; QI ; Zhao-ming
  • 英文作者:GONG Qian-chun;YU Hong-xiao;MAO Xin-rui;QI Hui-dong;SHI Yan;XIANG Wei;CHEN Qing-shan;QI Zhao-ming;Key Laboratory of Soybean Biology,Ministry of Education/College of Agriculture,Northeast Agricultural University;
  • 英文关键词:soybean;;amino acid QTLs;;meta-analysis;;overview analysis;;candidate genes
  • 中文刊名:ZGNX
  • 英文刊名:农业科学学报(英文版)
  • 机构:Key Laboratory of Soybean Biology,Ministry of Education/College of Agriculture,Northeast Agricultural University;
  • 出版日期:2018-05-20
  • 出版单位:Journal of Integrative Agriculture
  • 年:2018
  • 期:v.17
  • 基金:financially supported by the National Key R&D Program of China (2016YFD0100500, 2016YFD0100300, 2016YFD0100201-21);; the “Challenge Cup” National College Student Curricular Academic Science and Technology Works Competition of Ministry of Education of China (to Gong Qianchun, guided by Qi Zhaoming);; the National Natural Science Foundation of China (31701449, 31471516, 31401465, 31400074, 31501332);; the China Post Doctoral Project (2015M581419);; the Dongnongxuezhe Project (to Chen Qingshan), China;; the Young Talent Project (to Qi Zhaoming) of Northeast Agriculture University, China (518062);; the Heilongjiang Funds for Distinguished Young Scientists, China (JC2016004);; the Outstanding Academic Leaders Projects of Harbin, China (2015RQXXJ018)
  • 语种:英文;
  • 页:ZGNX201805014
  • 页数:11
  • CN:05
  • ISSN:10-1039/S
  • 分类号:114-124
摘要
The composition and quantity of amino acids influence the protein content and nutritional value of soybeans and also have an important impact upon soybean quality. After integrating and proofreading 140 original QTLs associated with amino acid contentfrom soybase(http://www.soybase.org/), 138 QTLs were further analyzed to determine high-confidence QTL regions. Meta-analysis was first carried out using the Bio Mercator ver. 2.1 software, yielding 33 consensus QTLs. The consensus QTL confidence intervals(CIs) ranged from 0.07 to 19.85 Mb. Next, the overview method was used to optimize the CIs, and 57 "real" QTLs were mapped. Candidate genes in the consensus QTL regions were obtained from Phytozome and were annotated using the Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), Swissprot, and gene annotation databases. Finally, 16 unpublished candidate genes controlling the content of five types of amino acids were identified with Blast. These results laid the foundation for fine mapping of soybean amino acid-related QTLs and marker-assisted selection.
        The composition and quantity of amino acids influence the protein content and nutritional value of soybeans and also have an important impact upon soybean quality. After integrating and proofreading 140 original QTLs associated with amino acid contentfrom soybase(http://www.soybase.org/), 138 QTLs were further analyzed to determine high-confidence QTL regions. Meta-analysis was first carried out using the Bio Mercator ver. 2.1 software, yielding 33 consensus QTLs. The consensus QTL confidence intervals(CIs) ranged from 0.07 to 19.85 Mb. Next, the overview method was used to optimize the CIs, and 57 "real" QTLs were mapped. Candidate genes in the consensus QTL regions were obtained from Phytozome and were annotated using the Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), Swissprot, and gene annotation databases. Finally, 16 unpublished candidate genes controlling the content of five types of amino acids were identified with Blast. These results laid the foundation for fine mapping of soybean amino acid-related QTLs and marker-assisted selection.
引文
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