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Meta‐analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining
Author(s) -
Qin Hongtao,
Liu Zhangxiong,
Wang Yuyang,
Xu Mingyue,
Mao Xinrui,
Qi Huidong,
Yin Zhengong,
Li Yongliang,
Jiang Hongwei,
Hu Zhenbang,
Wu Xiaoxia,
Zhu Rongsheng,
Liu Chunyan,
Chen Qingshan,
Xin Dawei,
Qi Zhaoming
Publication year - 2018
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/pbr.12562
Subject(s) - quantitative trait locus , biology , fatty acid , candidate gene , family based qtl mapping , gene , genetics , trait , genetic linkage , kegg , food science , gene mapping , biochemistry , gene ontology , gene expression , computer science , programming language , chromosome
As soybean seed fatty acid content is valued in food, animal feed and some industrial applications, plant breeders continually aim to improve seed fatty acid constituent value. This study analysed 163 original quantitative trait loci ( QTL s) related to soybean fatty acid content from databases and references and revealed 43 consensus QTL s. Meta‐analysis using BioMercator ver.2.1 indicated that these were located across 16 linkage groups ( LG s) excluding LG D1a, LG C1, LG M and LG H. Moreover, the overview method was used to optimize these QTL s based on statistical analysis. Some valid QTL regions were narrowed down to 0.5 Mb and mapped on the same LG s as the meta‐analysis result. Furthermore, the functions of all genes located in these consensus QTL intervals were predicted and eight candidate genes were identified. KEGG pathway analysis indicated that Glyma.13G127900 and Glyma.18G232000 were involved in the fatty acid synthesis metabolic (pathway ID ko00071, ko00062, ko01040). These results lay a foundation for fine mapping of QTL s related to fatty acid content and marker‐assisted breeding in soybean.