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基于全基因组关联分析(GWAS)和加权基因共表达网络分析(WGCNA)对中国西南地区小麦抗条锈病成年抗性基因的鉴定

Identification of adult resistant genes to stripe rust in wheat from southwestern China based on GWAS and WGCNA analysis.

作者信息

Qiao Liang, Gao Xue, Jia Zhiqiang, Liu Xingchen, Wang Huiyutang, Kong Yixi, Qin Peng, Yang Baoju

机构信息

College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, China.

出版信息

Plant Cell Rep. 2024 Feb 11;43(3):67. doi: 10.1007/s00299-024-03148-4.

DOI:10.1007/s00299-024-03148-4
PMID:38341832
Abstract

In this study, genome-wide association studies combined with transcriptome data analysis were utilized to reveal potential candidate genes for stripe rust resistance in wheat, providing a basis for screening wheat varieties for stripe rust resistance. Wheat stripe rust, which is caused by the wheat stripe rust fungus (Puccinia striiformis f. sp. tritici, Pst) is one of the world's most devastating diseases of wheat. Genetic resistance is the most effective strategy for controlling diseases. Although wheat stripe rust resistance genes have been identified to date, only a few of them confer strong and broad-spectrum resistance. Here, the resistance of 335 wheat germplasm resources (mainly wheat landraces) from southwestern China to wheat stripe rust was evaluated at the adult stage. Combined genome-wide association study (GWAS) and weighted gene co-expression network analysis (WGCNA) based on RNA sequencing from stripe rust resistant accession Y0337 and susceptible accession Y0402, five candidate resistance genes to wheat stripe rust (TraesCS1B02G170200, TraesCS2D02G181000, TraesCS4B02G117200, TraesCS6A02G189300, and TraesCS3A02G122300) were identified. The transcription level analyses showed that these five genes were significantly differentially expressed between resistant and susceptible accessions post inoculation with Pst at different times. These candidate genes could be experimentally transformed to validate and manipulate fungal resistance, which is beneficial for the development of the wheat cultivars resistant to stripe rust.

摘要

在本研究中,利用全基因组关联研究结合转录组数据分析来揭示小麦抗条锈病的潜在候选基因,为筛选抗条锈病小麦品种提供依据。小麦条锈病由小麦条锈菌(Puccinia striiformis f. sp. tritici,Pst)引起,是世界上最具毁灭性的小麦病害之一。遗传抗性是控制病害的最有效策略。尽管迄今为止已鉴定出小麦条锈病抗性基因,但其中只有少数具有强抗性和广谱抗性。在此,对来自中国西南部的335份小麦种质资源(主要是小麦地方品种)在成株期对小麦条锈病的抗性进行了评估。基于抗条锈病材料Y0337和感病材料Y0402的RNA测序,结合全基因组关联研究(GWAS)和加权基因共表达网络分析(WGCNA),鉴定出5个小麦条锈病候选抗性基因(TraesCS1B02G170200、TraesCS2D02G181000、TraesCS4B02G117200、TraesCS6A02G189300和TraesCS3A02G122300)。转录水平分析表明,接种Pst后不同时间,这5个基因在抗性和感病材料之间存在显著差异表达。这些候选基因可通过实验转化来验证和调控真菌抗性,这有利于抗条锈病小麦品种的培育。

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