A SNP-Based Linkage Map Revealed QTLs for Resistance to Early and Late Leaf Spot Diseases in Peanut (Arachis hypogaea L.)
文献类型： 外文期刊
作者： Han, Suoyi 1 ; Yuan, Mei 1 ; Clevenger, Josh P. 4 ; Li, Chun 2 ; Hagan, Austin 5 ; Zhang, Xinyou 2 ; Chen, Charles 5 ; He 1 ;
作者机构： 1.Tuskegee Univ, Dept Agr & Environm Sci, Tuskegee, AL 36088 USA
2.Henan Acad Agr Sci, Ind Crops Res Inst, Zhengzhou, Henan, Peoples R China
3.Shandong Peanut Res Inst, Qingdao, Peoples R China
4.Univ Georgia, Ctr Appl Genet Technol, Athens, GA 30602 USA
5.Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA
关键词： genotyping by sequencing (GBS); resistance gene; single nucleotide polymorphism (SNP); quantitative trait locus (QTL); Cercospora arachidicola; Cercosporidium personatum
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.753； 五年影响因子：6.612 ）
ISSN： 1664-462X
年卷期： 2018 年 9 卷
页码：
收录情况： SCI
摘要： Cultivated peanut (Arachis hypogaea L.) is an important oilseed crop that is grown extensively in Africa, Asia and America. The diseases early and late leaf spot severely constrains peanut production worldwide. Because multiple genes control resistance to leaf spot diseases, conventional breeding is a time-consuming approach for pyramiding resistance genes into a single genotype. Marker-assisted selection (MAS) would complement and accelerate conventional breeding once molecular markers tightly associated with the resistance genes are identified. In this study, we have generated a large number of SNPs through genotyping by sequencing (GBS) and constructed a high-resolution map with an average distance of 1.34 cM among 2,753 SNP markers distributed on 20 linkage groups. QTL mapping has revealed that major QTL within a confidence interval could provide an efficient way to detect putative resistance genes. Analysis of the interval sequences has indicated that a major QTL for resistance to late leaf spot anchored by two NBS-LRR resistance genes on chromosome B05. Two major QTLs located on chromosomes A03 and B04 were associated with resistance genes for early leaf spot. Sequences within the confidence interval would facilitate identifying resistance genes and applying marker-assisted selection for resistance.
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