Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, Mexico City, 06600, Mexico.
CIMMYT, P.O. Box 39, Emek, Ankara, 06511, Turkey.
Theor Appl Genet. 2018 Apr;131(4):985-998. doi: 10.1007/s00122-017-3037-7. Epub 2017 Dec 7.
GWAS on multi-environment data identified genomic regions associated with trade-offs for grain weight and grain number. Grain yield (GY) can be dissected into its components thousand grain weight (TGW) and grain number (GN), but little has been achieved in assessing the trade-off between them in spring wheat. In the present study, the Wheat Association Mapping Initiative (WAMI) panel of 287 elite spring bread wheat lines was phenotyped for GY, GN, and TGW in ten environments across different wheat growing regions in Mexico, South Asia, and North Africa. The panel genotyped with the 90 K Illumina Infinitum SNP array resulted in 26,814 SNPs for genome-wide association study (GWAS). Statistical analysis of the multi-environmental data for GY, GN, and TGW observed repeatability estimates of 0.76, 0.62, and 0.95, respectively. GWAS on BLUPs of combined environment analysis identified 38 loci associated with the traits. Among them four loci-6A (85 cM), 5A (98 cM), 3B (99 cM), and 2B (96 cM)-were associated with multiple traits. The study identified two loci that showed positive association between GY and TGW, with allelic substitution effects of 4% (GY) and 1.7% (TGW) for 6A locus and 0.2% (GY) and 7.2% (TGW) for 2B locus. The locus in chromosome 6A (79-85 cM) harbored a gene TaGW2-6A. We also identified that a combination of markers associated with GY, TGW, and GN together explained higher variation for GY (32%), than the markers associated with GY alone (27%). The marker-trait associations from the present study can be used for marker-assisted selection (MAS) and to discover the underlying genes for these traits in spring wheat.
GWAS 在多环境数据中鉴定出与籽粒重量和粒数权衡相关的基因组区域。籽粒产量 (GY) 可以分解为千粒重 (TGW) 和粒数 (GN),但在评估春小麦中它们之间的权衡关系方面,进展甚微。在本研究中,小麦关联作图倡议 (WAMI) 小组对来自墨西哥、南亚和北非不同小麦种植区的 10 个环境中的 287 个春面包小麦优良品系进行了 GY、GN 和 TGW 的表型分析。该小组使用 90K Illumina Infinitum SNP 阵列进行基因分型,共产生了 26814 个用于全基因组关联研究 (GWAS) 的 SNP。对 GY、GN 和 TGW 的多环境数据进行统计分析,观察到重复性估计值分别为 0.76、0.62 和 0.95。对联合环境分析的 BLUP 进行 GWAS 鉴定出与这些性状相关的 38 个位点。其中 4 个位点-6A(85cM)、5A(98cM)、3B(99cM)和 2B(96cM)-与多个性状相关。该研究鉴定出两个位点,它们显示出 GY 和 TGW 之间的正关联,6A 位点的等位基因替代效应为 4%(GY)和 1.7%(TGW),2B 位点的等位基因替代效应为 0.2%(GY)和 7.2%(TGW)。6A 染色体上的位点(79-85cM)包含一个基因 TaGW2-6A。我们还发现,与 GY、TGW 和 GN 相关的标记组合一起解释了 GY 的更高变异性(32%),而与 GY 相关的标记单独解释了(27%)。本研究中的标记-性状关联可以用于标记辅助选择 (MAS),并发现春小麦中这些性状的潜在基因。