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白 Lupin 耐旱性:遗传变异、性状遗传结构和基因组支持的预测。

White Lupin Drought Tolerance: Genetic Variation, Trait Genetic Architecture, and Genome-Enabled Prediction.

机构信息

Council for Agricultural Research and Economics (CREA), Research Centre for Animal Production and Aquaculture, Viale Piacenza 29, 26900 Lodi, Italy.

出版信息

Int J Mol Sci. 2023 Jan 25;24(3):2351. doi: 10.3390/ijms24032351.

Abstract

White lupin is a high-protein crop requiring drought tolerance improvement. This study focused on a genetically-broad population of 138 lines to investigate the phenotypic variation and genotype × environment interaction (GEI) for grain yield and other traits across drought-prone and moisture-favourable managed environments, the trait genetic architecture and relevant genomic regions by a GWAS using 9828 mapped SNP markers, and the predictive ability of genomic selection (GS) models. Water treatments across two late cropping months implied max. available soil water content of 60-80% for favourable conditions and from wilting point to 15% for severe drought. Line yield responses across environments featured a genetic correlation of 0.84. Relatively better line yield under drought was associated with an increased harvest index. Two significant QTLs emerged for yield in each condition that differed across conditions. Line yield under stress displayed an inverse linear relationship with the onset of flowering, confirmed genomically by a common major QTL. An adjusted grain yield computed as deviation from phenology-predicted yield acted as an indicator of intrinsic drought tolerance. On the whole, the yield in both conditions and the adjusted yield were polygenic, heritable, and exploitable by GS with a high predictive ability (0.62-0.78). Our results can support selection for climatically different drought-prone regions.

摘要

白 Lupinus 是一种高蛋白作物,需要提高耐旱性。本研究以一个遗传多样性广泛的 138 个品系群体为研究对象,调查了在干旱和湿润管理环境下,粒产量和其他性状的表型变异和基因型与环境互作(GEI),利用 9828 个映射 SNP 标记进行全基因组关联分析(GWAS),探讨了性状的遗传结构和相关基因组区域,以及基因组选择(GS)模型的预测能力。在两个晚播月进行的水分处理暗示,有利条件下最大可利用土壤含水量为 60-80%,严重干旱时从萎蔫点到 15%。各环境下的品系产量响应具有 0.84 的遗传相关性。在干旱条件下相对较好的品系产量与收获指数增加有关。在每种条件下都出现了两个与条件不同的产量的显著 QTL。在胁迫下的品系产量与开花起始呈负线性关系,这在基因组上被一个共同的主要 QTL 所证实。作为内在耐旱性指标的偏离物候预测产量的调整后粒产量。总的来说,两种条件下的产量和调整后的产量都是多基因的、可遗传的,并且可以通过 GS 进行选择,具有较高的预测能力(0.62-0.78)。我们的研究结果可以为气候不同的干旱地区的选择提供支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ba/9916572/e887dececac3/ijms-24-02351-g001.jpg

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