Using functional genomics to decipher the complexity of microbial pathogenicity.
Using functional genomics to decipher the complexity of microbial pathogenicity.
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DOI：
10.1007/s00294-016-0576-4
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发表时间：
2016-08
期刊：
影响因子：
2.5
通讯作者：
Massey R
中科院分区：
文献类型：
--
作者：
Laabei M;Massey R
从第一次确定细菌作为疾病的病原体，研究人员一直在开发方法和技术来了解其致病过程。几十年来，这项工作一直局限于在体外试验或动物感染模型中观察少数可遗传操纵的分离株。尽管存在这些局限性，但这些工作促进了成功治疗策略的发展，最值得注意的是针对特定毒力相关特征的疫苗。然而，有许多抗菌素耐药性病原体的疫苗接种策略并不奏效，因为我们根本不知道它们是如何引起疾病的。然而，我们正处于微生物致病性研究的新时代的黎明，可以对直接从人类感染中分离的大量细菌进行测序和分析，以确定影响人类疾病严重程度的细菌特征。在这里，我们描述了我们试图进行这样一项研究，重点是主要的人类病原体金黄色葡萄球菌，这表明这种方法可以使理解微生物致病性的步骤变化。
From the first identification of bacteria as a causative agent of disease, researchers have been developing methods and techniques to understand their pathogenic processes. For decades, this work has been limited to looking at a small number of genetically manipulatable isolates in in vitro assays or animal models of infection. Despite these limitations such work has facilitated the development of successful therapeutic strategies, most notably vaccines that target specific virulence-related features. There are however many antimicrobial resistant pathogens for which vaccination strategies have not worked, as we simply do not know enough about how they cause disease. We are however at the dawn of a new era in the study of microbial pathogenicity, where large collections of bacteria isolated directly from human infections can be sequenced and assayed to identify the bacterial features that affect disease severity in humans. Here, we describe our attempt to perform such a study focussed on the major human pathogen Staphylococcus aureus, which demonstrates the step changes such approaches can make to understanding microbial pathogenicity.