Meta‐analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining. (14th February 2018)

• Record Type: Journal Article
• Authors: 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
• Editors: Singh, Ram
• Is Part Of: Plant breeding. Volume 137:Number 2(2018)
• Page Start: 181
• Page End: 193
• Publication Date: 2018-02-14
• Subjects: candidate gene -- fatty acid content -- meta‐analysis -- overview analysis -- soybean; Plant breeding -- Periodicals; 631.52
• DOI: 10.1111/pbr.12562
• Languages: English
• ISSNs: 0179-9541

Abstract

Abstract: 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 (QTLs) related to soybean fatty acid content from databases and references and revealed 43 consensus QTLs. Meta‐analysis using BioMercator ver.2.1 indicated that these were located across 16 linkage groups (LGs) excluding LG D1a, LG C1, LG M and LG H. Moreover, the overview method was used to optimize these QTLs based on statistical analysis. Some valid QTL regions were narrowed down to 0.5 Mb and mapped on the same LGs 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 QTLs related to fatty acid content and marker‐assisted breeding in soybean.