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全基因组关联研究揭示了豌豆中与抗锈病相关的候选基因和代谢途径。

Genome-wide association study uncovers pea candidate genes and metabolic pathways involved in rust resistance.

作者信息

Osuna-Caballero Salvador, Rubiales Diego, Rispail Nicolas

机构信息

Institute for Sustainable Agriculture, CSIC, Córdoba, Spain.

出版信息

Plant Genome. 2024 Dec;17(4):e20510. doi: 10.1002/tpg2.20510. Epub 2024 Oct 29.

DOI:10.1002/tpg2.20510
PMID:39472763
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11628884/
Abstract

Pea (Pisum sativum L.) is an important temperate legume crop providing plant-based proteins for food and feed worldwide. Pea yield can be limited by several biotic stresses, among which rust represents a major limiting factor in many temperate and subtropical regions. Some efforts have been made to assess the natural variation in pea resistance to rust, but its efficient exploitation in breeding is limited since the resistance loci identified so far are scarce and their responsible gene(s) unknown. To overcome this knowledge gap, a comprehensive genome-wide association study (GWAS) has been performed on pea rust, caused by Uromyces pisi, to uncover genetic loci associated with resistance. Utilizing a diverse collection of 320 pea accessions, we evaluated phenotypic responses to two rust isolates using both traditional methods and advanced image-based phenotyping. We detected 95 significant trait-marker associations using a set of 26,045 Diversity Arrays Technology-sequencing polymorphic markers. Our in silico analysis identified 62 candidate genes putatively involved in rust resistance, grouped into different functional categories such as gene expression regulation, vesicle trafficking, cell wall biosynthesis, and hormonal signaling. This research highlights the potential of GWAS to identify molecular markers associated with resistance and candidate genes against pea rust, offering new targets for precision breeding. By integrating our findings into current breeding programs, we can facilitate the development of pea varieties with improved resistance to rust, contributing to sustainable agricultural practices and food security. This study sets the stage for future functional genomic analyses and the application of genomic selection approaches to enhance disease resistance in peas.

摘要

豌豆(Pisum sativum L.)是一种重要的温带豆类作物,为全球的食品和饲料提供植物性蛋白质。豌豆产量可能受到多种生物胁迫的限制,其中锈病是许多温带和亚热带地区的主要限制因素。人们已经做出了一些努力来评估豌豆对锈病抗性的自然变异,但由于目前鉴定出的抗性位点稀少且其相关基因未知,其在育种中的有效利用受到限制。为了克服这一知识空白,针对由豌豆单胞锈菌(Uromyces pisi)引起的豌豆锈病进行了全面的全基因组关联研究(GWAS),以发现与抗性相关的基因座。利用320份豌豆种质的多样化群体,我们使用传统方法和基于先进图像的表型分析评估了对两种锈菌分离株的表型反应。我们使用一组26,045个多样性阵列技术测序多态性标记检测到95个显著的性状-标记关联。我们的电子分析确定了62个可能参与锈病抗性的候选基因,它们被分为不同的功能类别,如基因表达调控、囊泡运输、细胞壁生物合成和激素信号传导。这项研究突出了GWAS在鉴定与豌豆锈病抗性相关的分子标记和候选基因方面的潜力,为精准育种提供了新的靶点。通过将我们的研究结果整合到当前的育种计划中,我们可以促进培育出对锈病抗性更强的豌豆品种,为可持续农业实践和粮食安全做出贡献。这项研究为未来的功能基因组分析以及应用基因组选择方法增强豌豆的抗病性奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/107c/11628884/c6a8f5da252f/TPG2-17-e20510-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/107c/11628884/c62a1f25a541/TPG2-17-e20510-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/107c/11628884/c6a8f5da252f/TPG2-17-e20510-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/107c/11628884/c62a1f25a541/TPG2-17-e20510-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/107c/11628884/c6a8f5da252f/TPG2-17-e20510-g002.jpg

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