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Mapping and identification of QTLs for seed fatty acids in soybean ( Glycine max L.)

文献类型： 外文期刊

作者： Zhong, Yiwang 1 ; Li, Xingang 1 ; Wang, Shasha 1 ; Li, Sansan 1 ; Zeng, Yuhong 1 ; Cheng, Yanbo 1 ; Ma, Qibin 1 ; Wang, Yanyan 3 ; Pang, Yuanting 4 ; Nian, Hai 1 ; Wen, Ke 1 ;

作者机构： 1.South China Agr Univ, State Key Lab Conservat & Utilizat Subtrop Agrobio, Guangzhou 510642, Peoples R China

2.South China Agr Univ, Coll Agr, Natl Ctr Soybean Improvement, Guangdong Sub Ctr, Guangzhou 510642, Peoples R China

3.Chinese Acad Sci, Inst Genet & Dev Biol, Beijing 100101, Peoples R China

4.Hainan Seed Ind Lab, Sanya 572025, Peoples R China

5.China Agr Univ, Coll Hort, Dept Vegetable Sci, Beijing Key Lab Growth & Dev Regulat Protected Veg, Beijing 100193, Peoples R China

6.Hainan Acad Agr Sci, Key Lab Vegetable Biol Hainan Prov, Key Lab Genet Resources Evaluat & Utilizat Trop Fm, Vegetable Res Inst,Coconstruct Minist Agr & Rural, Haikou 570228, Peoples R China

关键词： soybean; oil; fatty acids; QTL; gene

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：4.4； 五年影响因子：4.8 ）

ISSN： 2095-3119

年卷期： 2024 年 23 卷 12 期

页码：

收录情况： SCI

摘要： Soybean is one of the most important sources of vegetable oil. The oil content and fatty acid ratio have attracted significant attention due to their impacts on the shelf-life of soybean oil products and consumer health. In this study, a high-density genetic map derived from Guizao 1 and Brazil 13 was used to analyze the quantitative trait loci of palmitic acid (PA), stearic acid (SA), oleic acid (OA), linoleic acid (LA), linolenic acid (LNA), and oil content (OC). A total of 54 stable QTLs were detected in the genetic map linkage analysis, which shared six bin intervals. Among them, the bin interval on chromosome 13 (bin106-bin118 and bin123-bin125) was found to include stable QTLs in multiple environments that were linked to OA, LA, and LNA. Eight differentially expressed genes (DEGs) within these QTL intervals were determined as candidate genes according to the combination of parental resequencing, bioinformatics and RNA sequencing data. All these results are conducive to breeding soybean with the ideal fatty acid ratio for food, and provide the genetic basis for mining genes related to the fatty acid and oil content traits in soybean.

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