Uncovering candidate genes involved in photosynthetic capacity using unexplored genetic variation in Spring Wheat

Uncovering candidate genes involved in photosynthetic capacity using unexplored genetic variation in Spring Wheat
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DOI:
10.1101/2020.06.15.151928
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发表时间:
2020-06
影响因子:
13.8
通讯作者:
R. Joynson;G. Molero;Benedict Coombes;Laura-Jayne Gardiner;Carolina Rivera-Amado;F. Piñera-Chávez;J. R. Evans;R. Furbank;M. Reynolds;Anthony Hall
R. Joynson;G. Molero;Benedict Coombes;Laura-Jayne Gardiner;Carolina Rivera-Amado;F. Piñera-Chávez;J. R. Evans;R. Furbank;M. Reynolds;Anthony Hall
中科院分区:
工程技术1区
文献类型:
--
作者:
R. Joynson;G. Molero;Benedict Coombes;Laura-Jayne Gardiner;Carolina Rivera-Amado;F. Piñera-Chávez;J. R. Evans;R. Furbank;M. Reynolds;Anthony Hall

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为了养活不断增长的人口,我们必须利用基因组学和表型分析的进步,利用小麦育种群体的变异来获得尚未优化的光合能力等性状。在这里,我们调查了一组不同的小麦种质,其中包括优良系、渐渗系和合成衍生系,揭示了以前未表征的变异。我们展示了外来材料的战略整合如何缓解小麦中的 D 基因组遗传瓶颈,将 SNP 率提高 62%,这主要归功于白纹伊菌。节节草合成小麦供体。在整个面板中,67% 是 Ae。节节藻供体基因组在精英背景中表现为基因渗入。我们展示了如何利用关联分析将观察到的遗传变异与高光谱反射率数据一起用于识别与光合能力相关的性状的候选基因。这证明了基因组方法在揭示小麦隐藏变异方面的价值,以及这种变异如何帮助育种工作并增加我们对复杂性状的理解。
To feed an ever-increasing population we must leverage advances in genomics and phenotyping to harness the variation in wheat breeding populations for traits like photosynthetic capacity which remains unoptimized. Here we survey a diverse set of wheat germplasm containing elite, introgression and synthetic derivative lines uncovering previously uncharacterised variation. We demonstrate how strategic integration of exotic material alleviates the D genome genetic bottleneck in wheat, increasing SNP rate by 62% largely due to Ae. tauschii synthetic wheat donors. Across the panel, 67% of the Ae. tauschii donor genome is represented as introgressions in elite backgrounds. We show how observed genetic variation together with hyperspectral reflectance data can be used to identify candidate genes for traits relating to photosynthetic capacity using association analysis. This demonstrates the value of genomic methods in uncovering hidden variation in wheat and how that variation can assist breeding efforts and increase our understanding of complex traits.