铜绿假单胞菌运动表型的高通量观察方法。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Océane Goncalves, Jean-Philippe Côté
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引用次数: 0

摘要

运动行为通常在细菌利用其环境中可用资源的能力中起着重要作用。对于多功能病原体铜绿假单胞菌来说尤其如此,它可以表现出多种类型的运动,包括蜂群和抽动,这是重要的致病特征,有助于表面定植,生物膜形成和逃避宿主防御。本文提出了一种高通量运动方案来研究铜绿假单胞菌的运动行为。例如,该方案允许同时测试来自全基因组突变文库的铜绿假单胞菌的多个菌株,以确定和分析与其运动性有关的遗传因素。该方法提供了以全面的方式研究运动性和深入了解铜绿假单胞菌运动性的分子机制的可能性。这里描述的方案也可以修改,以适应不同类型的运动分析以及其他细菌种类,从而提供了一个强大的平台,促进在各种情况下的细菌行为的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-throughput Method for Observing Motility Phenotypes in Pseudomonas aeruginosa.

Motility behaviors often play a significant role in the ability of a bacterium to exploit the resources available in its environment. This is particularly true for the versatile pathogen Pseudomonas aeruginosa, which can exhibit diverse types of motilities, including swarming and twitching, which are important pathogenic traits that contribute to surface colonization, biofilm formation, and evasion of host defenses. This manuscript presents a high-throughput motility protocol to study the motility behaviors of P. aeruginosa. The protocol allows simultaneous testing of multiple strains of P. aeruginosa from a genome-wide mutant library, for instance, to identify and analyze the genetic factors involved in its motility. The approach offers the possibility to study motility in a comprehensive manner and insights into the molecular mechanisms underlying P. aeruginosa's motility. The protocol described here can also be modified to accommodate different types of motility assays as well as other bacterial species, thus providing a powerful platform for advancing the understanding of bacterial behavior in various contexts.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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