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Identification of QTLs/Defense Genes Effective at Seedling Stage Against Prevailing Races of Wheat Stripe Rust in India
Frontiers in Genetics ( IF 2.8 ) Pub Date : 2020-09-30 , DOI: 10.3389/fgene.2020.572975
Anjan Kumar Pradhan , Sundeep Kumar , Amit Kumar Singh , Neeraj Budhlakoti , Dwijesh C. Mishra , Divya Chauhan , Shikha Mittal , Monendra Grover , Suneel Kumar , Om P. Gangwar , Subodh Kumar , Arun Gupta , Subhash C. Bhardwaj , Anil Rai , Kuldeep Singh

Resistance in modern wheat cultivars for stripe rust is not long lasting due to the narrow genetic base and periodical evolution of new pathogenic races. Though nearly 83 Yr genes conferring resistance to stripe rust have been cataloged so far, few of them have been mapped and utilized in breeding programs. Characterization of wheat germplasm for novel sources of resistance and their incorporation into elite cultivars is required to achieve durable resistance and thus to minimize the yield losses. Here, a genome-wide association study (GWAS) was performed on a set of 391 germplasm lines with the aim to identify quantitative trait loci (QTL) using 35K Axiom® array. Phenotypic evaluation disease severity against four stripe rust pathotypes, i.e., 46S119, 110S119, 238S119, and 47S103 (T) at the seedling stage in a greenhouse providing optimal conditions was carried out consecutively for 2 years (2018 and 2019 winter season). We identified, a total of 17 promising QTl which passed FDR criteria. Moreover these 17 QTL identified in the current study were mapped at different genomic locations i.e. 1B, 2A, 2B, 2D, 3A, 3B, 3D, 4B, 5B and 6B. These 17 QTLs identified in the present study might play a key role in marker-assisted breeding for developing stripe rust resistant wheat cultivars.



中文翻译:

鉴定在苗期有效对抗印度小麦条锈病流行的QTL /防御基因

由于狭窄的遗传基础和新的病原体的周期性进化,现代小麦品种对条锈病的抗性不会持续很长时间。虽然接近83迄今为止,已经对赋予抗条锈病的基因进行了分类,其中只有少数基因被定位并用于育种程序。为了获得持久的抗性并因此使产量损失最小化,需要鉴定小麦种质的新型抗性来源并将其掺入优良品种中。在这里,对一组391种质系进行了全基因组关联研究(GWAS),目的是使用35KAxiom®阵列鉴定定量性状基因座(QTL)。连续2年(2018年和2019年冬季),在提供最佳条件的温室中,对处于苗期的温室中的四种条锈病病态(即46S119、110S119、238S119和47S103(T))进行表型评估疾病严重性。我们确定了总共17个有望通过FDR标准的QT1。此外,在当前研究中鉴定出的这17个QTL被定位在不同的基因组位置,即1B,2A,2B,2D,3A,3B,3D,4B,5B和6B。在本研究中确定的这17个QTL可能在标记辅助育种中发展条纹抗锈小麦品种中起关键作用。

更新日期:2020-11-27
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