Department of Plant Breeding and Genetics, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China.
PLoS One. 2022 Mar 31;17(3):e0263263. doi: 10.1371/journal.pone.0263263. eCollection 2022.
Determining the genetic basis of yield and water deficient tolerance in wheat is vital for wheat breeding programs. Herein, a genome-wide association study (GWAS) was performed for water deficient and yield-related attributes on wheat genotypes with high-density Illumina 90K Infinium SNP array. Major yield and drought-related attributes were phenotyped on a panel of Pakistani and foreign accessions grown in non-stressed and water deficient stressed environments during two crop cycles. Among all accessions, highly significant variations were shown in studied environments for examined characters. Water deficient conditions, reduced the wheat yield and had strong and positive correlation among relative water content and grain yield per plant. Population structure analyses based on 90,000 SNP data, classify the accessions into 4 sub-populations. Marker-trait association analyses (MTA) revealed that 134 significant SNPs were linked with yield and drought tolerance attributes. Pleotropic loci RAC875_s117925_244 and RAC875_c16333_340 located on chromosome 5A and 2A respectively, were significantly linked with relative water contents (RWC), cell membrane thermo-stability (CMT), grain per spike (GPS), spikelet per spike (SPS) and grain yield per plant (GYP). The markers Ra_c58279_684, BobWhite_c23828_341 and IAAV3414 located on chromosomes 2A, 6B and 7B respectively, showed pleotropic effects for RWC, GPS and GYP under both environments. The current experiment not only validated several MTAs reported in other studies but also discovered novel MTAs which significant under drought-stressed conditions. A total of 171 candidate genes were recognized that could be cloned and functionally characterized for the respective associated traits. For RWC and CMT, total 11 and 3 associated SNPs were mapped on coding DNA sequence (CDS) of the identified candidate genes. Isolation and characterization of the candidate genes herein mapped SNPs will be useful in discovering novel genes underpinning drought tolerance in bread wheat to fulfill the wheat demand and sustainable food security under limited water conditions.
确定小麦产量和水分亏缺耐性的遗传基础对小麦育种计划至关重要。在此,对具有高密度 Infinium SNP 阵列的小麦基因型进行了与水分亏缺和产量相关的性状的全基因组关联研究 (GWAS)。在两个作物周期中,在非胁迫和水分胁迫环境下,对来自巴基斯坦和外国的基因型进行了主要产量和干旱相关性状的表型分析。在所有供试材料中,在所研究的环境中,研究的性状表现出高度显著的变化。水分亏缺条件降低了小麦产量,且植株相对含水量与单株粒重之间存在很强的正相关关系。基于 90,000 个 SNP 数据的群体结构分析将供体分为 4 个亚群。标记-性状关联分析 (MTA) 显示,134 个显著 SNP 与产量和耐旱性性状相关。位于 5A 和 2A 染色体上的多效性位点 RAC875_s117925_244 和 RAC875_c16333_340 分别与相对含水量 (RWC)、细胞膜热稳定性 (CMT)、穗粒数 (GPS)、小穗数 (SPS) 和单株粒重 (GYP) 显著相关。位于染色体 2A、6B 和 7B 上的标记 Ra_c58279_684、BobWhite_c23828_341 和 IAAV3414 分别对两个环境下的 RWC、GPS 和 GYP 表现出多效性效应。本实验不仅验证了其他研究中报道的几个 MTA,还发现了在干旱胁迫条件下显著的新 MTA。共鉴定出 171 个候选基因,可用于克隆和功能分析相应的相关性状。对于 RWC 和 CMT,总共 11 个和 3 个相关 SNP 映射到鉴定候选基因的编码 DNA 序列 (CDS) 上。在此映射 SNP 的候选基因的分离和鉴定将有助于发现控制小麦耐旱性的新基因,以满足有限水资源条件下的小麦需求和可持续粮食安全。