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一个上位性网络将 和 描述为与 相关的基因。

An Epistatic Network Describes and as Relevant Genes for .

作者信息

Posada-Reyes Ali-Berenice, Balderas-Martínez Yalbi I, Ávila-Ríos Santiago, Vinuesa Pablo, Fonseca-Coronado Salvador

机构信息

Posgrado en Ciencias Biológicas, UNAM, Mexico, Mexico.

Facultad de Estudios Superiores Cuautitlán, UNAM, Estado de Mexico, Mexico.

出版信息

Front Mol Biosci. 2022 May 31;9:856212. doi: 10.3389/fmolb.2022.856212. eCollection 2022.

Abstract

is an acid-fast bacterium that causes tuberculosis worldwide. The role of epistatic interactions among different loci of the genome under selective pressure may be crucial for understanding the disease and the molecular basis of antibiotic resistance acquisition. Here, we analyzed polymorphic loci interactions by applying a model-free method for epistasis detection, SpydrPick, on a pan-genome-wide alignment created from a set of 254 complete reference genomes. By means of the analysis of an epistatic network created with the detected epistatic interactions, we found that (-1,4-glucan branching enzyme) and (oligopeptide-binding protein) are putative targets of co-selection in as they were associated in the network with genes related to virulence, pathogenesis, transport system modulators of the immune response, and antibiotic resistance. In addition, our work unveiled potential pharmacological applications for genotypic antibiotic resistance inherent to the mutations of and as they epistatically interact with and , two genes recently included as antibiotic-resistant genes in the catalog of the World Health Organization. Our findings showed that this approach allows the identification of relevant epistatic interactions that may lead to a better understanding of by deciphering the complex interactions of molecules involved in its metabolism, virulence, and pathogenesis and that may be applied to different bacterial populations.

摘要

是一种引起全球结核病的抗酸细菌。在选择性压力下,基因组不同位点之间上位性相互作用的作用对于理解该疾病以及获得抗生素抗性的分子基础可能至关重要。在这里,我们通过对由254个完整参考基因组组成的泛基因组范围比对应用一种无模型的上位性检测方法SpydrPick,分析了多态性位点相互作用。通过对由检测到的上位性相互作用构建的上位性网络进行分析,我们发现(β-1,4-葡聚糖分支酶)和(寡肽结合蛋白)是结核分枝杆菌中共选择的假定靶点,因为它们在网络中与毒力、发病机制、免疫反应的转运系统调节剂以及抗生素抗性相关的基因有关。此外,我们的工作揭示了由于β-1,4-葡聚糖分支酶和寡肽结合蛋白的突变所固有的基因型抗生素抗性的潜在药理学应用,因为它们与世界卫生组织目录中最近被列为抗生素抗性基因的两个基因发生上位性相互作用。我们的研究结果表明,这种方法能够识别相关的上位性相互作用,通过解读参与其代谢、毒力和发病机制的分子的复杂相互作用,可能有助于更好地理解结核分枝杆菌,并且可以应用于不同的细菌群体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb3/9194097/75d7e79ccb0c/fmolb-09-856212-g001.jpg

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