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全基因组关联研究干旱胁迫下大豆种子的萌发。

Genome-wide association study of soybean seed germination under drought stress.

机构信息

National Key Facility for Gene Resources and Genetic Improvement/Key Laboratory of Crop Germplasm Utilization, Ministry of Agriculture/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.

Institute of Crop Sciences, Gansu Academy of Agricultural Sciences, Lanzhou, 730070, China.

出版信息

Mol Genet Genomics. 2020 May;295(3):661-673. doi: 10.1007/s00438-020-01646-0. Epub 2020 Feb 1.

Abstract

Drought stress, which is increasing with climate change, is a serious threat to agricultural sustainability worldwide. Seed germination is an essential growth phase that ensures the successful establishment and productivity of soybean, which can lose substantial productivity in soils with water deficits. However, only limited genetic information is available about how germinating soybean seeds may exert drought tolerance. In this study, we examined the germinating seed drought-tolerance phenotypes and genotypes of a panel of 259 released Chinese soybean cultivars panel. Based on 4616 Single-Nucleotide Polymorphisms (SNPs), we conducted a mixed-linear model GWAS that identified a total of 15 SNPs associated with at least one drought-tolerance index. Notably, three of these SNPs were commonly associated with two drought-tolerance indices. Two of these SNPs are positioned upstream of genes, and 11 of them are located in or near regions where QTLs have been previously mapped by linkage analysis, five of which are drought-related. The SNPs detected in this study can both drive hypothesis-driven research to deepen our understanding of genetic basis of soybean drought tolerance at the germination stage and provide useful genetic resources that can facilitate the selection of drought stress traits via genomic-assisted selection.

摘要

干旱胁迫是全球农业可持续发展的一个严重威胁,随着气候变化而日益加剧。种子萌发是大豆生长的一个关键阶段,它确保了大豆的成功建立和生产力,但在水分亏缺的土壤中,大豆的生产力会大幅下降。然而,关于萌发大豆种子如何产生耐旱性的遗传信息非常有限。在这项研究中,我们研究了 259 个中国大豆品种的萌发种子耐旱表型和基因型。基于 4616 个单核苷酸多态性(SNP),我们进行了混合线性模型 GWAS,共鉴定出与至少一个耐旱性指数相关的 15 个 SNP。值得注意的是,其中 3 个 SNP 与两个耐旱性指数普遍相关。这两个 SNP 位于基因的上游,其中 11 个 SNP 位于已通过连锁分析定位到 QTL 的区域或附近,其中 5 个与干旱有关。本研究中检测到的 SNP 不仅可以为假设驱动的研究提供线索,加深我们对大豆萌发阶段耐旱性遗传基础的理解,还可以为通过基因组辅助选择进行耐旱性性状选择提供有用的遗传资源。

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