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茶树中与炭疽病抗性相关关键基因的鉴定

Identification of key genes associated with anthracnose resistance in Camellia sinensis.

作者信息

Xu Li-Yi, Su Jing-Jing, Zhang Cheng-Kang, Hao Min, Zhou Zi-Wei, Chen Xiao-Hui, Zheng Shi-Zhong

机构信息

College of Biological Science and Engineering, Ningde Normal University, Ningde, China.

出版信息

PLoS One. 2025 Jun 24;20(6):e0326325. doi: 10.1371/journal.pone.0326325. eCollection 2025.

Abstract

Anthracnose, a prevalent fungal disease in tea plantations, cause substantial economic losses in tea production. Identifying resistance-associated genes in tea plants is crucial for developing anthracnose-resistant cultivars. This study used eight tea samples with differential anthracnose resistance for phenotypic evaluation, weighted gene co-expression network analysis (WGCNA) of RNA-seq data, WGCNA- QTL co-localization to identify resistance gene, and qRT-PCR validation of candidate genes. in vitro pathogen inoculation assay revealed that the lesion diameters of the eight samples ranged from 1.45 mm to 4.5 mm (ANOVA p = 4.4[Formula: see text]). Using the 'Longjing 43' reference genome, transcriptome assembly achieved 93.9% gene detection rate (31,509/33,557 genes). WGCNA categorized expressed genes into 30 modules with the purple module (containing 907 genes) showing positive trait correlation and the yellow-green module (containing 781 genes) exhibiting negative correlation. Integration of WGCNA and QTL mapping identified two high-confidence candidate genes within LG08 QTL intervals. Both genes exhibited significant upregulation (t-test p < 0.01) in tea plant leaves following Colletotrichum spore inoculation. These findings provide actionable genetic targets for marker-assisted breeding of anthracnose-resistant tea cultivars.

摘要

炭疽病是茶园中一种常见的真菌病害,会给茶叶生产造成重大经济损失。鉴定茶树中与抗性相关的基因对于培育抗炭疽病品种至关重要。本研究使用了八个对炭疽病抗性具有差异的茶叶样本进行表型评估,对RNA测序数据进行加权基因共表达网络分析(WGCNA),通过WGCNA与数量性状基因座(QTL)共定位来鉴定抗性基因,并对候选基因进行qRT-PCR验证。体外病原菌接种试验表明,八个样本的病斑直径在1.45毫米至4.5毫米之间(方差分析p = 4.4[公式:见正文])。利用“龙井43”参考基因组,转录组组装的基因检测率达到93.9%(31,509/33,557个基因)。WGCNA将表达的基因分为30个模块,其中紫色模块(包含907个基因)显示出与性状呈正相关,黄绿色模块(包含781个基因)呈负相关。WGCNA与QTL定位相结合,在LG08 QTL区间内鉴定出两个高可信度的候选基因。在接种炭疽菌孢子后,这两个基因在茶树叶片中均表现出显著上调(t检验p < 0.01)。这些发现为抗炭疽病茶树品种的分子标记辅助育种提供了可操作的遗传靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0920/12186979/7fcbb182a744/pone.0326325.g001.jpg

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