通过单细胞 RNA 测序透视细菌表型异质性。

IF 3.6 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Transcription-Austin Pub Date : 2024-02-01 Epub Date: 2024-03-26 DOI:10.1080/21541264.2024.2334110
Alex W Walls, Adam Z Rosenthal
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引用次数: 0

摘要

细菌转录并不是单一的。微生物的细胞状态多种多样,这些状态有助于它们适应环境、获取和生产必需的营养物质,以及与邻居进行竞争与合作。虽然我们通常认为细菌的适应是一种群体行为,所有细胞都会做出一致的反应,但在细菌群体中往往会出现多种表型反应,从而产生不同的细胞类型。驱动这些不同细胞状态的一个主要现象是转录异质性。与真核生物相比,细菌的 mRNA 转录本寿命极短,因此它们的转录状态与其生理学密切相关,因此细菌细胞的转录组就像该细菌行为的快照。因此,将单细胞转录组学应用于微生物种群将为细胞分化和细菌生态学提供新的见解。在这篇综述中,我们将概述微生物系统中的转录异质性,讨论单细胞方法已经提供的发现,并描绘转录调控、细胞生物学和异质性机制方面的新探索途径,当以单细胞分辨率分析微生物群落时,这些新探索途径将成为可能。
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Bacterial phenotypic heterogeneity through the lens of single-cell RNA sequencing.

Bacterial transcription is not monolithic. Microbes exist in a wide variety of cell states that help them adapt to their environment, acquire and produce essential nutrients, and engage in both competition and cooperation with their neighbors. While we typically think of bacterial adaptation as a group behavior, where all cells respond in unison, there is often a mixture of phenotypic responses within a bacterial population, where distinct cell types arise. A primary phenomenon driving these distinct cell states is transcriptional heterogeneity. Given that bacterial mRNA transcripts are extremely short-lived compared to eukaryotes, their transcriptional state is closely associated with their physiology, and thus the transcriptome of a bacterial cell acts as a snapshot of the behavior of that bacterium. Therefore, the application of single-cell transcriptomics to microbial populations will provide novel insight into cellular differentiation and bacterial ecology. In this review, we provide an overview of transcriptional heterogeneity in microbial systems, discuss the findings already provided by single-cell approaches, and plot new avenues of inquiry in transcriptional regulation, cellular biology, and mechanisms of heterogeneity that are made possible when microbial communities are analyzed at single-cell resolution.

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来源期刊
Transcription-Austin
Transcription-Austin BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
6.50
自引率
5.60%
发文量
9
期刊最新文献
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