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首页> 外文期刊>The Plant Genome >Genetic Diversity, Population Structure, and Genetic Correlation with Climatic Variation in Chickpea (Cicer arietinum) Landraces from Pakistan
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Genetic Diversity, Population Structure, and Genetic Correlation with Climatic Variation in Chickpea (Cicer arietinum) Landraces from Pakistan

机译:巴基斯坦山痘(Cicer Arietinum)Lateraces中山痘的遗传多样性,人口结构和遗传相关性

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Chickpea (Cicer arietinumL.) production in arid regions, such as those predominant in Pakistan, faces immense challenges of drought and heat stress. Addressing these challenges is made more difficult by the lack of genetic and phenotypic characterization of available cultivated varieties and breeding materials. Genotyping-by-sequencing offers a rapid and cost-effective means to identify genome-wide nucleotide variation in crop germplasm. When combined with extended crop phenotypes deduced from climatic variation at sites of collection, the data can predict which portions of genetic variation might have roles in climate resilience. Here we use 8113 single nucleotide polymorphism markers to determine genetic variation and compare population structure within a previously uncharacterized collection of 77 landraces and 5 elite cultivars, currently grown in situ on farms throughout the chickpea growing regions of Pakistan. The compiled landraces span a striking aridity gradient into the Thal Desert of the Punjab. Despite low levels of variation across the collection and limited genetic structure, we found some differentiation between accessions from arid, semiarid, irrigated, and coastal areas. In a subset of 232 markers, we found evidence of differentiation along gradients of elevation and isothermality. Our results highlight the utility of exploring large germplasm collections for nucleotide variation associated with environmental extremes, and the use of such data to nominate germplasm accessions with the potential to improve crop drought tolerance and other environmental traits.
机译:Chickpea(Cicer Arietinuml。)干旱地区的生产,如巴基斯坦的主要占据主义,面临着干旱和热应激的巨大挑战。通过缺乏可用的栽培品种和育种材料缺乏遗传和表型表征,使这些挑战更加困难。基因分型逐序列提供了一种快速且经济效益的方法,可识别作物种质的基因组核苷酸变化。当与集合站点的气候变化中推断出来的扩展作物表型时,数据可以预测气候弹性中的遗传变异部分可能具有作用。在这里,我们使用8113个单核苷酸多态性标记物来确定遗传变异,并比较先前无表特征的77个地球菌和5种精英品种的人口结构,目前在鹰嘴豆种植地区的农场种植。编译的样片跨越了一个醒目的干旱梯度进入旁遮普邦的Thal沙漠。尽管跨收集和有限的遗传结构的变化水平低,但我们发现了干旱,半干旱,灌溉和沿海地区的加入之间的一些差异。在232个标记的子集中,我们发现沿着高程和等级梯度分化的证据。我们的结果突出了探索与环境极端相关的核苷酸变异的大种质收集的效用,以及使用这些数据来提名种质过程,具有改善作物耐受性和其他环境特征的潜力。

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