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An approach to identifying drug resistance associated mutations in bacterial strains

机译：一种鉴定细菌菌株中与药物相关的突变的方法

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Background Drug resistance in bacterial pathogens is an increasing problem, which stimulates research. However, our understanding of drug resistance mechanisms remains incomplete. Fortunately, the fast-growing number of fully sequenced bacterial strains now enables us to develop new methods to identify mutations associated with drug resistance. Results We present a new comparative approach to identify genes and mutations that are likely to be associated with drug resistance mechanisms. In order to test the approach, we collected genotype and phenotype data of 100 fully sequenced strains of S. aureus and 10 commonly used drugs. Then, applying the method, we re-discovered the most common genetic determinants of drug resistance and identified some novel putative associations. Conclusions Firstly, the collected data may help other researchers to develop and verify similar techniques. Secondly, the proposed method is successful in identifying drug resistance determinants. Thirdly, the in-silico identified genetic mutations, which are putatively involved in drug resistance mechanisms, may increase our understanding of the drug resistance mechanisms.
机译：背景技术细菌病原体中的耐药性是一个日益严重的问题，这刺激了研究。但是，我们对耐药机制的理解仍然不完整。幸运的是，全序列细菌菌株的快速增长现在使我们能够开发新方法来鉴定与耐药性相关的突变。结果我们提出了一种新的比较方法，以鉴定可能与耐药机制有关的基因和突变。为了测试该方法，我们收集了100株金黄色葡萄球菌完全测序菌株和10种常用药物的基因型和表型数据。然后，应用该方法，我们重新发现了最常见的耐药性遗传决定因素，并确定了一些新颖的推定关联。结论首先，收集的数据可能有助于其他研究人员开发和验证类似技术。其次，所提出的方法成功地确定了耐药性决定因素。第三，在计算机上鉴定出的基因突变（可能与耐药机制有关）可能会增加我们对耐药机制的了解。

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