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Identification of soybean genes related to fatty acid content based on a soybean genome collinearity analysis
Author(s) -
Wang Xinyu,
Li Qingying,
Zhang Qi,
Huang Shiyu,
Yu Jingyao,
Qin Hongtao,
Qi Huidong,
Li Yilin,
Li Yingying,
Yin Zhengong,
Han Xue,
Wu Xiaoxia,
Xin Dawei,
Chen Qingshan,
Qi Zhaoming
Publication year - 2019
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.12733
Subject(s) - biology , quantitative trait locus , fatty acid , gene , genetics , candidate gene , genome , biochemistry
Seed fatty acid content is an important consideration for soybean produced for food, feed, and industrial applications. In this study, MCScanX was used to analyze the entire soybean genome to generate a collinearity block, which was then used to assess the collinearity among the soybean fatty acid quantitative trait loci (QTL) in the SoyBase database. The hub‐QTLs located in the Gm06, Gm07, and Gm10 segments were identified. The Kyoto Encyclopedia of Genes and Genomes and gene ontology databases were used to analyze the genes in hub‐QTL regions, resulting in the identification of 17 candidate genes related to soybean fatty acid content. Two lines with different fatty acid contents and a recurrent parent were selected from a chromosome segment substitution line library for a subsequent quantitative real‐time polymerase chain reaction (qRT‐PCR) assay to verify the candidate gene expression patterns. Four genes were related to the total soybean fatty acid content, while three genes were related to the content of specific fatty acid types. The results of this study may be relevant for the fine mapping of soybean fatty acid QTLs/genes.