Analysis of main effect QTL for thousand grain weight in European winter wheat (Triticum aestivum L.) by genome-wide association mapping

Frontiers in Plant Science

Erhard eEbmeyer¹  Sonja eKollers¹  Viktor eKorzun¹  Jie eLing²  Marion S. Röder²  Cornelia eJaenecke²  Christine Désirée Zanke²  Odile eArgillier³  Gunther eStiewe⁴  Maike eHinze⁴  Andrea eEichhorn⁵  Andreas ePolley⁵  Felix eNeumann⁵  Martin W. Ganal⁵  Jörg ePlieske⁵ 

[1] KWS LOCHOW GMBH;Leibniz Institute of Plant Genetics and Crop Plant Research (IPK);Syngenta France S.A.S.;Syngenta Seeds GmbH;TraitGenetics GmbH;

关键词: Linkage Disequilibrium;    Association mapping;    candidate genes;    SSR;    Grain size;    Triticum aestivum L.;   

DOI  :  10.3389/fpls.2015.00644

来源: DOAJ

【 摘 要 】

Grain weight, an essential yield component, is under strong genetic control and at the same time markedly influenced by the environment. Genetic analysis of the thousand grain weight (TGW) by genome-wide association study (GWAS) was performed with a panel of 358 European winter wheat (Triticum aestivum L.) varieties and 14 spring wheat varieties using phenotypic data of field tests in eight environments. Wide phenotypic variations were indicated for the TGW with BLUEs (best linear unbiased estimations) values ranging from 35.9 g to 58.2 g with a mean value of 45.4 g and a heritability of H2=0.89. A total of 12 candidate genes for plant height, photoperiodism and grain weight were genotyped on all varieties. Only three candidates, the photoperiodism gene Ppd-D1, dwarfing gene Rht-B1and the TaGW-6A gene were significant explaining up to 14.4%, 2.3% and 3.4% of phenotypic variation, respectively. For a comprehensive genome-wide analysis of TGW-QTL genotyping data from 732 microsatellite markers and a set of 7769 mapped SNP markers genotyped with the 90k iSELECT array were analyzed. In total, 342 significant (-log10 (P-value) > 3.0) marker trait associations (MTAs) were detected for SSR markers and 1195 MTAs (-log10P-value) > 3.0) for SNP markers in all single environments plus the BLUEs. After Bonferroni correction, 28 MTAs remained significant for SSR markers (-log10 (P-value) > 4.82) and 58 MTAs for SNP markers (-log10 (P value) > 5.89). Apart from chromosomes 4B and 6B for SSR markers and chromosomes 4D and 5D for SNP markers, MTAs were detected on all chromosomes. The highest number of significant SNP markers was found on chromosomes 3B and 1B, while for the SSRs most markers were significant on chromosomes 6D and 3D. Overall, TGW was determined by many markers with small effects. Only three SNP-markers had R2 values above 6%.

【 授权许可】

Unknown