Journal of Integrative Agriculture ›› 2024, Vol. 23 ›› Issue (12): 3966-3982.DOI: 10.1016/j.jia.2023.09.010

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大豆种子脂肪酸QTL的定位与鉴定

  

  • 收稿日期:2023-04-14 接受日期:2023-07-19 出版日期:2024-12-20 发布日期:2024-11-15

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

Yiwang Zhong1, 2, 6*, Xingang Li1, 2*, Shasha Wang1, 2, Sansan Li1, 2, Yuhong Zeng1, 2, Yanbo Cheng1, 2, Qibin Ma1, 2, Yanyan Wang3, Yuanting Pang4, 5, Hai Nian1, 2, 4#, Ke Wen1, 2, 3, 4, 6#   

  1. 1 State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou 510642, China

    2 Guangdong Sub-center of the National Center for Soybean Improvement/College of Agriculture, South China Agricultural University, Guangzhou 510642, China

    3 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China

    4 Hainan Seed Industry Laboratory, Sanya 572025, China

    5 Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops/Department of Vegetable Science, College of Horticulture, China Agricultural University, Beijing 100193, China 

    6 Key Laboratory of Genetic Resources Evaluation and Utilization of Tropical Fmuits and Vegetables, Co-construction by Ministry of Agriculture and Rural Affairs and Hainan Province/Key Laboratory of Vegetable Biology of Hainan Province/Vegetable Research Institute, Hainan Academy of Agricultural Sciences, Haikou 570228, China

  • Received:2023-04-14 Accepted:2023-07-19 Online:2024-12-20 Published:2024-11-15
  • About author:#Correspondence Hai Nian, Tel: +86-20-85288024, E-mail: hnian@scau.edu.cn; Ke Wen, Mobile: +86-13544332296, E-mail: wenke@hnaas.org.cn * These authors contributed equally to this study.
  • Supported by:
    This research was supported by funding from the Seed Industry Revitalization Plan of Guangdong Province, China (2022-NPY-00-007), the Hainan Seed Industry Laboratory, China (B21HJ0901 and B23C1000416), the Key-Area Research and Development Program of Guangdong Province, China (2020B020220008), the National Natural Science Foundation of China (31971966 and 31971965), the China Agricultural Research System (CARS-04-PS09), the National Key Research and Development Projects, China (2018YFE0116900-06), Guangdong Agricultural Science and Technology Innovation and Promotion Project, China (2019KJ136-03), and the Sanya Science and Technology Innovation Special Project, China (2022KJCX11). 

摘要:

大豆是世界上最重要的植物油来源之一。油分含量和脂肪酸比例因其对豆油产品的保质期和消费者健康的影响而受到广泛关注。本研究利用桂早 1 号和巴西 13 杂交构建的重组自交系群体的高密度遗传图谱,鉴定棕榈酸(PA)、硬脂酸(SA)、油酸(OA)、亚油酸(LA)、亚麻酸(LNA)和含油量的数量性状位点(QTL)。在遗传图谱连锁分析中共检测到 54 个QTL。在这些性状定位结果共享的 6 个染色体 bin 区间中,13 号染色体上的 bin 区间(bin106 - bin118 和 bin123 - bin125)在多种环境下被检测为稳定的新 QTL,与 OA、LA 和 LNA 相关。通过亲本重测序、生物信息学和 RNA 测序数据的联合分析,确定这些共享区间内的 8 个差异表达基因(DEGs)为候选基因。本研究结果将有助于培育脂肪酸比例理想的适宜食用的大豆,并为挖掘与大豆脂肪酸和油脂含量相关的基因提供遗传信息基础。

Abstract:

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.

Key words: soybean ,  oil ,  fatty acids ,  QTL ,  gene