کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8875634 | 1623697 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Meta-analysis of soybean amino acid QTLs and candidate gene mining
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم کشاورزی و بیولوژیک (عمومی)
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چکیده انگلیسی
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 BioMercator 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 Finally, 16 unpublished candidate genes controlling the content of five types of amino acids were identified with Blast.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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Integrative Agriculture - Volume 17, Issue 5, May 2018, Pages 1074-1084
Journal: Journal of Integrative Agriculture - Volume 17, Issue 5, May 2018, Pages 1074-1084
نویسندگان
Qian-chun GONG, Hong-xiao YU, Xin-rui MAO, Hui-dong QI, Yan SHI, Wei XIANG, Qing-shan CHEN, Zhao-ming QI,