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Journal of Integrative Agriculture  2026, Vol. 25 Issue (6): 2329-2340    DOI: 10.1016/j.jia.2024.09.013
Crop Science Advanced Online Publication | Current Issue | Archive | Adv Search |
Inheritance and QTL mapping identify multi-effect loci for fatty acid related traits in peanut (Arachis hypogaea L.)

Guanghao Wang1*, Hui Wang2, 3*, Liangqiong He4, Zhuqiang Han4, Jiaowen Pan1, Huan Zhang1, Lei Hou1, Xingjun Wang1, Baozhu Guo2, 3#, Chuanzhi Zhao1#

1 Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences/Shandong International Joint Laboratory of Agricultural Germplasm Resources Innovation, Jinan 250100, China

2 Crop Protection and Management Research Unit, Agricultural Research Service, United States Department of Agriculture, Tifton, GA 31793, USA

3 Department of Plant Pathology, University of Georgia, Tifton, GA 31793, USA

4 Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China 

 Highlights 
A high-density peanut genetic linkage map containing 3,141 SNP markers and covering 3,051.81 cM was constructed.
Sixty QTLs associated with oil content and fatty acid composition were identified, among which two major pleiotropic loci, qFAT_A05.1 and qFAT_A08.1, were included.
Haplotype combinations A05.1_H004 and A08.1_H002 were identified, and the pyramiding of these elite haplotypes contributes to the increase in peanut oil content.
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摘要  

花生 (Arachhis hypogaea L.) 是一种油料、食用兼用的重要作物。脂肪酸组不仅影响花生油的质量,并且影响花生食品的风味保质期,进而影响消费者健康。花生油的组成可以分三个部分:占比约80%的油酸(C18:1)和亚油酸(C18:2)占比约10%的棕榈酸(C16:0)以及包括硬脂酸(C18:0)、花生酸(C20:0)烯酸(C20:1)山嵛酸(C22:0)木蜡酸(C24:0)在内其他脂肪酸之和占比约10%。为了揭示栽培花生脂肪酸含量的遗传基础与QTL定位,本研究利用高密度SNP芯片对“SunOleic 97R × NC94022” RIL群体进行了基因分型。构建了包含3141SNP标记的遗传连锁图谱,总遗传图距3051.81 cM并在11个连锁群种鉴定60个与脂肪酸相关QTL位点其表型效应值PVE范围为1.37% ~ 44.92%。值得注意的是,qFAT_A05.1qFAT_A08.1是影响不同脂肪酸组成的重要多效位点。此外,通过对178份花生种质进行基因分型,鉴定出qFAT_A05.1qFAT_A08.1这两个QTL位点共15种单倍型。花生种质的单倍型分析证实了这些QTL位点含油量、油酸、油酸、木蜡酸、棕榈酸和山嵛酸含量密切相关。本研究为筛选理想脂肪酸组的花生基因型提供重要的参考价值



Abstract  

Peanut (Arachis hypogaea L.) is an important oil and edible protein crop.  Its fatty acid composition not only influences the quality of peanut oil but also impacts flavor, shelf life, and consumer health.  Peanut oil is comprised of approximately 80% oleic acid (C18:1) and linoleic acid (C18:2), 10% palmitic acid (C16:0), and the remaining 10% includes stearic acid (C18:0), arachidic acid (C20:0), gadoleic acid (C20:1), behenic acid (C22:0), and lignoceric acid (C24:0).  To unravel the genetic foundation of fatty acid content and delve into QTL localization, high-density SNP microarrays were used to genotype the RIL population of ‘SunOleic 97R’ × ‘NC94022’.  A genetic linkage map was constructed with 3,141 SNP markers, covering a total genetic distance of 3,051.81 cM.  Sixty quantitative trait loci (QTLs) associated with fatty acids were distributed in 11 linkage groups, with phenotypic variance explained (PVE) ranging from 1.37 to 44.92%.  Notably, the QTLs qFAT_A05.1 and qFAT_A08.1 are multiple-effect loci contributing to various fatty acid compositions.  Moreover, 15 haplotypes for the QTLs qFAT_A05.1 and qFAT_A08.1 were identified through genotyping 178 peanut germplasms.  Haplotype analysis in a natural population confirmed the close relationship of the QTLs with the contents of oil, oleic acid, lignoceric acid, palmitic acid and behenic acid.  This study serves as a valuable reference for selecting improved peanut genotypes with superior oil quality and desirable fatty acid composition.

Keywords:  peanut       fatty acid        QTL        genetic map  
Received: 16 May 2024   Accepted: 04 July 2024 Online: 21 September 2024  
Fund: This research was funded by the National Key Research and Development Program, China (2023YFD1202800), the Guangxi Science and Technology Major Project, China, the Peak Project of Modern Characteristic Agriculture, China (GuikeAA23062004), the Key Research and Development Project of Shandong Province, China (2022LZGC007 and 2022LZGC022), and the Taishan Scholars Program of Shandong Province, China.  
About author:  #Correspondence Baozhu Guo, E-mail: Baozhu.Guo@ARS.USDA.GOV; Chuanzhi Zhao, E-mail: chuanzhiz@126.com * These authors contributed equally to this study.

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Guanghao Wang, Hui Wang, Liangqiong He, Zhuqiang Han, Jiaowen Pan, Huan Zhang, Lei Hou, Xingjun Wang, Baozhu Guo, Chuanzhi Zhao. 2026. Inheritance and QTL mapping identify multi-effect loci for fatty acid related traits in peanut (Arachis hypogaea L.). Journal of Integrative Agriculture, 25(6): 2329-2340.

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