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Population structure, marker-trait association and identification of candidate genes for terminal heat stress relevant traits in bread wheat (Triticum aestivum L. em Thell)

机译:人口结构,标志性状结合和候选基因的终端热应激相关性状的面包小麦(Triticum Aestivum L. Em Thell)

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Genetic improvement along with widened crop base necessitates for the detailed understanding of the genetic diversity and population structure in wheat. The present investigation reports the discovery of a total of 182 alleles by assaying 52 simple sequence repeats (SSRs) on 40 genotypes of bread wheat. Unweighted neighbour-joining method grouped these genotypes into two main clusters. Highly heat tolerant and intermediate tolerant cultivars were grouped in the same cluster, whereas remaining genotypes, particularly sensitive ones, were assigned different cluster. Similarly, the entire population was structured into two sub-populations (K = 2), closely corresponding with the other distance-based clustering patterns. The marker-trait association was discovered for four important physiological parameters, viz. canopy temperature depression, membrane thermostability index (MSI), normalized difference vegetation index and heat susceptibility index, indicating for heat stress (HS) tolerance in wheat. Both general and mixed linear models of association studies during 2017 and 2018, revealed the association of SSR markers, wmc222 (17.60%, PV) and gwm34 (20.70%, PV) with the mean phenotypic value of MSI. Likewise, SSR markers barc183, gwm75, gwm11 and cfd7 revealed a unique relationship with four selected physiological traits. Candidate genes discovered using in silico tools had nine SSR markers within the genic regions reported to play a role in heat and drought stress responses in plants. The information generated about these genic regions may be explored further in expression studies in-vivo to impart HS tolerance in bread wheat.
机译:遗传改善以及加宽的作物基础需要详细了解小麦遗传多样性和人口结构。目前的调查通过在面包小麦的40个基因型上测定52个简单的序列重复(SSR)来发现总共182个等位基因。未加权邻接方法将这些基因型分组为两个主要簇。在同一群体中对高耐热和中间耐受品种进行分组,而剩余基因型,特别敏感的群体被分配不同的簇。类似地,整个群体被构造成两个子群(k = 2),与其他基于距离的聚类模式密切对应。标志性的关联被发现为四个重要的生理参数,viz。冠层温度凹陷,膜热稳定性指数(MSI),归一化差异植被指数和热敏性指数,表明小麦的热应激(HS)耐受性。 2017年和2018年期间关联研究的一般和混合线性模型,揭示了SSR标志物,WMC222(17.60%,PV)和GWM34(20.70%,PV)与MSI的平均表型值的关联。同样地,SSR标记Barc183,GWM75,GWM11和CFD7揭示了与四种选定的生理性状的独特关系。在Silico工具中发现的候选基因在据报道的基因区域内具有九个SSR标记,以在植物中发挥热量和干旱应激反应的作用。可以在表达研究中进一步探讨关于这些遗传区域的信息,以赋予面包小麦的HS耐受性。

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