Gao Liangliang, Turner M Kathryn, Chao Shiaoman, Kolmer James, Anderson James A
University of Minnesota, Department of Agronomy and Plant Genetics, St. Paul, MN, 55108, United States of America.
USDA-ARS Biosciences Research Lab, Fargo, ND, 58102, United States of America.
PLoS One. 2016 Feb 5;11(2):e0148671. doi: 10.1371/journal.pone.0148671. eCollection 2016.
Leaf rust is an important disease, threatening wheat production annually. Identification of resistance genes or QTLs for effective field resistance could greatly enhance our ability to breed durably resistant varieties. We applied a genome wide association study (GWAS) approach to identify resistance genes or QTLs in 338 spring wheat breeding lines from public and private sectors that were predominately developed in the Americas. A total of 46 QTLs were identified for field and seedling traits and approximately 20-30 confer field resistance in varying degrees. The 10 QTLs accounting for the most variation in field resistance explained 26-30% of the total variation (depending on traits: percent severity, coefficient of infection or response type). Similarly, the 10 QTLs accounting for most of the variation in seedling resistance to different races explained 24-34% of the variation, after correcting for population structure. Two potentially novel QTLs (QLr.umn-1AL, QLr.umn-4AS) were identified. Identification of novel genes or QTLs and validation of previously identified genes or QTLs for seedling and especially adult plant resistance will enhance understanding of leaf rust resistance and assist breeding for resistant wheat varieties. We also developed computer programs to automate field and seedling rust phenotype data conversions. This is the first GWAS study of leaf rust resistance in elite wheat breeding lines genotyped with high density 90K SNP arrays.
叶锈病是一种重要病害,每年都威胁着小麦生产。鉴定出具有有效田间抗性的抗病基因或数量性状位点(QTL),能够极大地提高我们培育持久抗病品种的能力。我们采用全基因组关联研究(GWAS)方法,在来自公共和私营部门的338个春小麦育种系中鉴定抗病基因或QTL,这些育种系主要是在美洲培育的。共鉴定出46个与田间和幼苗性状相关的QTL,其中约20 - 30个在不同程度上赋予田间抗性。解释田间抗性最大变异的10个QTL占总变异的26 - 30%(取决于性状:严重度百分比、感染系数或反应类型)。同样,在校正群体结构后,解释对不同小种幼苗抗性最大变异的10个QTL占变异的24 - 34%。鉴定出两个潜在的新QTL(QLr.umn - 1AL、QLr.umn - 4AS)。鉴定新基因或QTL以及验证先前鉴定的与幼苗尤其是成株抗性相关的基因或QTL,将增进对叶锈病抗性的理解,并有助于抗叶锈病小麦品种的育种。我们还开发了计算机程序来自动进行田间和幼苗锈病表型数据转换。这是首次利用高密度90K SNP阵列对优良小麦育种系进行叶锈病抗性的GWAS研究。