Consensus map integration and QTL meta-analysis narrowed a locus for yield traits to 0.7cM and refined a region for late leaf spot resistance traits to 0.38cM on linkage group A05 in peanut (Arachis hypogaea L.)

文献类型： 外文期刊

第一作者： Lu, Qing

作者： Lu, Qing;Liu, Hao;Hong, Yanbin;Li, Haifen;Liu, Haiyan;Li, Xingyu;Wen, Shijie;Zhou, Guiyuan;Li, Shaoxiong;Chen, Xiaoping;Liang, Xuanqiang

作者机构：

关键词： Peanut (Arachis hypogaea L.); Meta-analysis; Yield; Late leaf spot

期刊名称：BMC GENOMICS （ 影响因子：3.969； 五年影响因子：4.478 ）

ISSN： 1471-2164

年卷期： 2018 年 19 卷

页码：

收录情况： SCI

摘要： BackgroundMany large-effect quantitative trait loci (QTLs) for yield and disease resistance related traits have been identified in different mapping populations of peanut (Arachis hypogaea L.) under multiple environments. However, only a limited number of QTLs have been used in marker-assisted selection (MAS) because of unfavorable epistatic interactions between QTLs in different genetic backgrounds. Thus, it is essential to identify consensus QTLs across different environments and genetic backgrounds for use in MAS. Here, we used QTL meta-analysis to identify a set of consensus QTLs for yield and disease resistance related traits in peanut.ResultsA new integrated consensus genetic map with 5874 loci was constructed. The map comprised 20 linkage groups (LGs) and was up to a total length of 2918.62cM with average marker density of 2.01 loci per centimorgan (cM). A total of 292 initial QTLs were projected on the new consensus map, and 40 meta-QTLs (MQTLs) for yield and disease resistance related traits were detected on four LGs. The genetic intervals of these consensus MQTLs varied from 0.20cM to 7.4cM, which is narrower than the genetic intervals of the initial QTLs, meaning they may be suitable for use in MAS. Importantly, a region of the map that previously co-localized multiple major QTLs for pod traits was narrowed from 3.7cM to 0.7cM using an overlap region of four MQTLs for yield related traits on LG A05, which corresponds to a physical region of about 630.3kb on the A05 pseudomolecule of peanut, including 38 annotated candidate genes (54 transcripts) related to catalytic activity and metabolic process. Additionally, one major MQTL for late leaf spot (LLS) was identified in a region of about 0.38cM. BLAST searches identified 26 candidate genes (30 different transcripts) in this region, some of which were annotated as related to regulation of disease resistance in different plant species.ConclusionsCombined with the high-density marker consensus map, all the detected MQTLs could be useful in MAS. The biological functions of the 64 candidate genes should be validated to unravel the molecular mechanisms of yield and disease resistance in peanut.

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