Genome-wide association study for soybean cyst nematode resistance in Chinese elite soybean cultivars
文献类型: 外文期刊
作者: Zhang, Jun 1 ; Wen, Zixiang 2 ; Li, Wei 1 ; Zhang, Yanwei 1 ; Zhang, Lifeng 1 ; Dai, Haiying 1 ; Wang, Dechun 2 ; Xu, Ran 1 ;
作者机构: 1.Shandong Acad Agr Sci, Crops Inst, Jinan 250100, Shandong, Peoples R China
2.Michigan State Univ, Dept Plant Soil & Microbial Sci, E Lansing, MI 48824 USA
3.Binzhou Vocat Coll, Binzhou 256603, Shandong, Peoples R China
关键词: Soybean cyst nematode;Genetic architecture;GWAS;Quantitative trait locus;Single nucleotide polymorphism
期刊名称:MOLECULAR BREEDING ( 影响因子:2.589; 五年影响因子:2.75 )
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收录情况: SCI
摘要: Soybean cyst nematode (SCN) (Heterodera glycines Ichinohe) is a highly recalcitrant endoparasite of soybean roots, causing more yield loss than any other pest. To identify quantitative trait loci (QTL) controlling resistance to SCN (HG type 2.5.7, race 1), a genome-wide association study (GWAS) was performed. The association panel, consisting of 120 Chinese soybean cultivars, was genotyped with 7189 single nucleotide polymorphism (SNPs). A total of 6204 SNPs with minor allele frequency >0.05 were used to estimate linkage disequilibrium (LD) and population structure. The mean level of LD measured by r(2) declined very rapidly to half its maximum value (0.51) at 220 kb. The overall population structure was approximately coincident with geographic origin. The GWAS results identified 13 SNPs in 7 different genomic regions significantly associated with SCN resistance. Of these, three SNPs were localized in previously mapped QTL intervals, including rhg1 and Rhg4. The GWAS results also detected 10 SNPs in 5 different genomic regions associated with SCN resistance. The identified loci explained an average of 95.5% of the phenotypic variance. The proportion of phenotypic variance was due to additive genetic variance of the validated SNPs. The present study identified multiple new loci and refined chromosomal regions of known loci associated with SCN resistance. The loci and trait-associated SNPs identified in this study can be used for developing soybean cultivars with durable resistance against SCN.
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