Thudi Mahendar, Upadhyaya Hari D, Rathore Abhishek, Gaur Pooran Mal, Krishnamurthy Lakshmanan, Roorkiwal Manish, Nayak Spurthi N, Chaturvedi Sushil Kumar, Basu Partha Sarathi, Gangarao N V P R, Fikre Asnake, Kimurto Paul, Sharma Prakash C, Sheshashayee M S, Tobita Satoshi, Kashiwagi Junichi, Ito Osamu, Killian Andrzej, Varshney Rajeev Kumar
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Andhra Pradesh, India.
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Andhra Pradesh, India; Guru Gobind Singh Indraprastha University, Delhi, India.
PLoS One. 2014 May 6;9(5):e96758. doi: 10.1371/journal.pone.0096758. eCollection 2014.
To understand the genetic basis of tolerance to drought and heat stresses in chickpea, a comprehensive association mapping approach has been undertaken. Phenotypic data were generated on the reference set (300 accessions, including 211 mini-core collection accessions) for drought tolerance related root traits, heat tolerance, yield and yield component traits from 1-7 seasons and 1-3 locations in India (Patancheru, Kanpur, Bangalore) and three locations in Africa (Nairobi, Egerton in Kenya and Debre Zeit in Ethiopia). Diversity Array Technology (DArT) markers equally distributed across chickpea genome were used to determine population structure and three sub-populations were identified using admixture model in STRUCTURE. The pairwise linkage disequilibrium (LD) estimated using the squared-allele frequency correlations (r2; when r2<0.20) was found to decay rapidly with the genetic distance of 5 cM. For establishing marker-trait associations (MTAs), both genome-wide and candidate gene-sequencing based association mapping approaches were conducted using 1,872 markers (1,072 DArTs, 651 single nucleotide polymorphisms [SNPs], 113 gene-based SNPs and 36 simple sequence repeats [SSRs]) and phenotyping data mentioned above employing mixed linear model (MLM) analysis with optimum compression with P3D method and kinship matrix. As a result, 312 significant MTAs were identified and a maximum number of MTAs (70) was identified for 100-seed weight. A total of 18 SNPs from 5 genes (ERECTA, 11 SNPs; ASR, 4 SNPs; DREB, 1 SNP; CAP2 promoter, 1 SNP and AMDH, 1SNP) were significantly associated with different traits. This study provides significant MTAs for drought and heat tolerance in chickpea that can be used, after validation, in molecular breeding for developing superior varieties with enhanced drought and heat tolerance.
为了解鹰嘴豆对干旱和热胁迫耐受性的遗传基础,已采用了全面的关联作图方法。针对参考集(300份种质,包括211份微型核心收集种质),在印度的1 - 7个季节和1 - 3个地点(帕坦切尔、坎普尔、班加罗尔)以及非洲的3个地点(内罗毕、肯尼亚的埃格顿和埃塞俄比亚的德布雷齐特),生成了与耐旱相关根系性状、耐热性、产量及产量构成性状的表型数据。使用均匀分布于鹰嘴豆基因组的多样性阵列技术(DArT)标记来确定群体结构,并在STRUCTURE中使用混合模型鉴定出三个亚群。使用平方等位基因频率相关性(r2;当r2 < 0.20时)估计的成对连锁不平衡(LD)发现随着5 cM的遗传距离迅速衰减。为建立标记 - 性状关联(MTA),使用1872个标记(1072个DArT、651个单核苷酸多态性[SNP]、113个基于基因的SNP和36个简单序列重复[SSR])以及上述表型数据,采用混合线性模型(MLM)分析,并使用P3D方法和亲属关系矩阵进行最优压缩。结果,鉴定出312个显著的MTA,其中百粒重鉴定出的MTA数量最多(70个)。来自5个基因(ERECTA,11个SNP;ASR,4个SNP;DREB,1个SNP;CAP2启动子,1个SNP和AMDH,1个SNP)的总共18个SNP与不同性状显著相关。本研究为鹰嘴豆的耐旱和耐热性提供了显著的MTA,经验证后可用于分子育种,以培育具有增强耐旱和耐热性的优良品种。