Mining genomic regions associated with stomatal traits and their candidate genes in bread wheat through genome-wide association study (GWAS).

IF 4.4 1区 农林科学 Q1 AGRONOMY Theoretical and Applied Genetics Pub Date : 2025-01-07 DOI:10.1007/s00122-024-04814-7
Dezheng Liu, Shan Lu, Renmei Tian, Xubin Zhang, Qingfeng Dong, Hao Ren, Liang Chen, Yin-Gang Hu
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Abstract

Key message: 112 candidate quantitative trait loci (QTLs) and 53 key candidate genes have been identified as associated with stomatal traits in wheat. These include bHLH, MADS-box transcription factors, and mitogen-activated protein kinases (MAPKs). Stomata is a common feature of the leaf surface of plants and serve as vital conduits for the exchange of gases (primarily CO₂ and water vapor) between plants and the external environment. In this study, a comprehensive genome analysis was conducted by integrating genome-wide association study (GWAS) and genome prediction to identify the genomic regions and candidate genes of stomatal traits associated with drought resistance and water-saving properties in a panel of 184 diverse bread wheat genotypes. There were significant variations on stomatal traits in the wheat panel across different environmental conditions. GWAS was conducted with the genotypic data from the wheat 660 K single-nucleotide polymorphism (SNP) chip, and the stomatal traits conducted across three environments during two growing seasons. The final GWAS identified 112 candidate QTLs that exhibited at least two significant marker-trait associations. Subsequent analysis identified 53 key candidate genes, including 13 bHLH transcription factor, 2 MADS-box transcription factors, and 4 mitogen-activated protein kinase genes, which may be strongly associated with stomatal traits. The application of Bayesian ridge regression for genomic prediction yielded an accuracy rate exceeding 60% for all four stomatal traits in both SNP matrices, with stomatal width achieving a rate in excess of 70%. Additionally, three Kompetitive allele-specific PCR markers were developed and validated, representing a significant advancement in marker-assisted prediction. Overall, these results will contribute to a more comprehensive understanding of wheat stomatal traits and provide a valuable reference for germplasm screening and innovation in wheat germplasm with novel stomatal traits.

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利用全基因组关联研究(GWAS)挖掘面包小麦气孔性状相关的基因组区域及其候选基因。
关键信息:目前已鉴定出112个候选数量性状位点和53个与小麦气孔性状相关的关键候选基因。这些包括bHLH, MADS-box转录因子和丝裂原活化蛋白激酶(MAPKs)。气孔是植物叶片表面的一个共同特征,是植物与外界环境交换气体(主要是二氧化碳和水蒸气)的重要通道。本研究采用全基因组关联研究(GWAS)和基因组预测相结合的方法,对184个不同面包小麦基因型的气孔性状进行了基因组分析,确定了与抗旱性和节水性相关的基因组区域和候选基因。不同环境条件下小麦组气孔性状存在显著差异。利用来自小麦660 K单核苷酸多态性(SNP)芯片的基因型数据和两个生长季节的三种环境下的气孔性状进行GWAS研究。最终的GWAS鉴定出112个候选qtl,这些qtl至少表现出两种显著的标记-性状关联。随后的分析确定了53个关键候选基因,其中包括13个bHLH转录因子,2个MADS-box转录因子和4个丝裂原活化蛋白激酶基因,这些基因可能与气孔性状密切相关。应用贝叶斯脊回归进行基因组预测,两种SNP基质中4个气孔性状的预测准确率均超过60%,其中气孔宽度的预测准确率超过70%。此外,开发并验证了三个竞争性等位基因特异性PCR标记,代表了标记辅助预测的重大进展。综上所述,这些结果将有助于更全面地了解小麦气孔性状,并为小麦气孔新性状种质资源的筛选和创新提供有价值的参考。
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来源期刊
CiteScore
9.60
自引率
7.40%
发文量
241
审稿时长
2.3 months
期刊介绍: Theoretical and Applied Genetics publishes original research and review articles in all key areas of modern plant genetics, plant genomics and plant biotechnology. All work needs to have a clear genetic component and significant impact on plant breeding. Theoretical considerations are only accepted in combination with new experimental data and/or if they indicate a relevant application in plant genetics or breeding. Emphasizing the practical, the journal focuses on research into leading crop plants and articles presenting innovative approaches.
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