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多组学方法提供了新的洞察力,用于识别来自Valsa mali的假定真菌影响者

Gulnaz Kahar^1,2,3,4, Yakupjan Haxim^1,2,3, Abdul Waheed^1,2,3

¹State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.

|April 27, 2024

概括

研究人员从瓦尔萨马利 (Valsa mali) 找出了潜在的效应蛋白,这是导致果瓦尔萨癌症的真菌. 多omics分析揭示了参与操纵果植物防御的关键基因,为真菌毒性机制提供了洞察力.

科学领域:

植物病理学植物病理学
菌类遗传学菌类遗传学
分子生物学分子生物学

背景情况:

病原性真菌利用效应蛋白来抑制宿主植物的防御.
瓦尔萨马利会导致瓦尔萨癌,这是一个影响中国果生产的重大疾病.

研究的目的:

为了识别和表征来自Valsa mali的候选效应蛋白 (CEPs).
通过使用多omics方法,调查V. mali CEPs在宿主感染期间的作用.

主要方法:

在V. mali. 中对210个候选效应因子蛋白编码基因的生物信息预测.
转录组和蛋白质组分析,以在宿主感染 (Malus sieversii) 期间识别差异表达/调节的CEP.
在Nicotiana benthamiana中选择CEP的过渡表达,以评估病原性功能.

主要成果:

146个CEP编码基因被差异地表达,27个CEP在V. mali感染期间被差异地调节.
VM1G-05058的短暂表达抑制了BAX诱导的细胞死亡,这表明它在宿主免疫逃避中发挥了作用.
在N. benthamiana中,VM1G-10148和VM1G-00140的表达诱导了细胞死亡,这表明了潜在的毒性功能.

结论:

多omics分析成功地确定了来自V. mali. 的潜在效应体候选者.
已识别的CEP为了解和潜在控制瓦尔萨癌症提供了新的目标.

关键词:

马卢斯·西弗西里 (Malus sieversii) 是一个令人难以置信的动物.在RNA-seqqq.瓦尔萨·马利·马利·马利这些是真菌效应器.

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