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小麦抗冻性的全基因组关联研究。

Genome wide association study of frost tolerance in wheat.

机构信息

Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Julius Kühn-Institut (JKI), Erwin-Baur-Str. 27, 06484, Quedlinburg, Germany.

Federal Research Centre for Cultivated Plants, Institute for Biosafety in Plant Biotechnology, Julius Kühn-Institut (JKI), Erwin-Baur-Str. 27, 06484, Quedlinburg, Germany.

出版信息

Sci Rep. 2022 Mar 28;12(1):5275. doi: 10.1038/s41598-022-08706-y.

DOI:10.1038/s41598-022-08706-y
PMID:35347161
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8960795/
Abstract

Winter wheat growing areas in the Northern hemisphere are regularly exposed to heavy frost. Due to the negative impact on yield, the identification of genetic factors controlling frost tolerance (FroT) and development of tools for breeding is of prime importance. Here, we detected QTL associated with FroT by genome wide association studies (GWAS) using a diverse panel of 276 winter wheat genotypes that was phenotyped at five locations in Germany and Russia in three years. The panel was genotyped using the 90 K iSelect array and SNPs in FroT candidate genes. In total, 17,566 SNPs were used for GWAS resulting in the identification of 53 markers significantly associated (LOD ≥ 4) to FroT, corresponding to 23 QTL regions located on 11 chromosomes (1A, 1B, 2A, 2B, 2D, 3A, 3D, 4A, 5A, 5B and 7D). The strongest QTL effect confirmed the importance of chromosome 5A for FroT. In addition, to our best knowledge, eight FroT QTLs were discovered for the first time in this study comprising one QTL on chromosomes 3A, 3D, 4A, 7D and two on chromosomes 1B and 2D. Identification of novel FroT candidate genes will help to better understand the FroT mechanism in wheat and to develop more effective combating strategies.

摘要

北半球的冬小麦种植区经常受到严重霜冻的影响。由于对产量的负面影响,鉴定控制耐霜性(FroT)的遗传因素和开发用于育种的工具至关重要。在这里,我们通过全基因组关联研究(GWAS)检测了与 FroT 相关的 QTL,该研究使用了一个由 276 个冬小麦基因型组成的多样化面板,这些基因型在德国和俄罗斯的五个地点进行了三年的表型分析。该面板使用 90K iSelect 阵列和 FroT 候选基因中的 SNPs 进行了基因型分析。总共使用了 17566 个 SNPs 进行 GWAS,鉴定出 53 个与 FroT 显著相关(LOD≥4)的标记,对应于 11 条染色体上的 23 个 QTL 区域(1A、1B、2A、2B、2D、3A、3D、4A、5A、5B 和 7D)。最强的 QTL 效应证实了染色体 5A 对 FroT 的重要性。此外,据我们所知,本研究首次发现了 8 个 FroT QTL,其中包括 3A、3D、4A、7D 染色体上的一个 QTL 和 1B 和 2D 染色体上的两个 QTL。鉴定新的 FroT 候选基因将有助于更好地了解小麦 FroT 机制,并开发更有效的防治策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/540a/8960795/775eaafbb156/41598_2022_8706_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/540a/8960795/c33aa6aa76c5/41598_2022_8706_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/540a/8960795/775eaafbb156/41598_2022_8706_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/540a/8960795/c33aa6aa76c5/41598_2022_8706_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/540a/8960795/775eaafbb156/41598_2022_8706_Fig2_HTML.jpg

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