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Updated: Jul 17, 2025

Single-Cell Analysis of the Expression of Pseudomonas syringae Genes within the Plant Tissue

Single-Cell Analysis of the Expression of Pseudomonas syringae Genes within the Plant Tissue

Published on: October 6, 2022

机器学习揭示了微生物群落和感染期间的Pseudomonas syringae转录组

Heera Bajpe¹, Kevin Rychel¹, Cameron R Lamoureux¹

¹Department of Bioengineering, University of California San Diego , La Jolla, California, USA.

|August 28, 2023

概括

这项研究使用iModulon分析绘制了Pseudomonas syringae pv.的转录调节网络. 番茄 DC3000. 番茄 DC3000. 番茄 DC3000. 番茄 DC3000. 番茄 DC3000 番茄番茄番茄番茄番茄番茄番茄我们发现了控制植物感染和与其他微生物相互作用期间基因表达的关键调节者.

科学领域:

微生物学微生物学
植物病理学植物病理学
系统生物学系统生物学

背景情况:

伪虫的注射器 pv. 番茄DC3000是研究植物微生物相互作用的关键模型病原体.
这种病原体的全球转录调节仍然不完全理解.

研究的目的:

为了解开P. syringae pv.的转录调节网络. 番茄DC3000使用iModulon分析. 番茄DC3000使用iModulon分析.
描述主要监管机构及其在各种条件下的活动.
了解宿主-病原体和微生物-微生物相互作用期间的转录动态.

主要方法:

将iModulon分析应用于RNA测序数据的汇编.
共同调节的基因组和调节活性的表征.
分析植物感染和与其他细菌共同培养期间的转录反应.

主要成果:

识别和表征关键的转录调节器及其相关的基因模块.
在植物感染期间揭示了鞭毛基因的AlGU-依赖调节.
当 siderophore cheater 存在时,观察到 siderophore 生产的下调.

结论:

iModulon分析是研究宿主-病原体和微生物-微生物相互作用的时间动态的强大工具.
对P. syringae pv.的监管策略的新见解在感染和竞争期间获得了番茄DC3000.

关键词:

伪蒙的注射器数据挖掘是数据挖掘的一个方法.基因调节基因调节基因调节独立组件分析独立组件分析微生物的相互作用.翻译学翻译学翻译学翻译学

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