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Identification of combinatorial mutations associated with colistin resistance in Shewanella algae.
Huang, Yao-Ting; Mao, Yan-Chiao; Tseng, Chien-Hao; Liu, Chia-Wei; Liu, Po-Yu.
Afiliação
  • Huang YT; Department of Computer Science and Information Engineering, National Chung Cheng University, Daxue Road Section 1, Minxiong Township, Chiayi County 62102, Taiwan.
  • Mao YC; Division of Clinical Toxicology, Department of Emergency Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Section 4, Xitun District, Taichung 40705, Taiwan.
  • Tseng CH; Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Section 4, Xitun District, Taichung 40705, Taiwan.
  • Liu CW; Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Section 4, Xitun District, Taichung 40705, Taiwan.
  • Liu PY; Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, 1650 Taiwan Boulevard Section 4, Xitun District, Taichung 40705, Taiwan; Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, 145 Xingda Rd, South District, Taichu
Microbes Infect ; 25(7): 105143, 2023.
Article em En | MEDLINE | ID: mdl-37085044
Colistin is a last-resort antibiotic used to treat infections caused by drug-resistant gram-negative bacteria. However, the genetic mechanisms underlying colistin resistance in Shewanella algae are not well understood. In this study, we sequenced and compared the genomes of 23 mcr-negative colistin-resistant and sensitive S. algae samples from various sources. We applied a computational approach to identify combinatorial mutations associated with colistin resistance. Our analysis revealed a combination of three mutations (PmrB 451, PmrE168, PmrH292) that were strongly associated with colistin resistance in S. algae. This study provides insights into the genetic mechanisms of colistin resistance in S. algae and demonstrates the utility of a computational approach for identifying epistatic interactions among mutations. Identifying the genetic mutations responsible for colistin resistance in S. algae can inform the development of new treatments or strategies to combat infections caused by this emerging pathogen.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Colistina / Farmacorresistência Bacteriana Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: Microbes Infect Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Colistina / Farmacorresistência Bacteriana Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: Microbes Infect Ano de publicação: 2023 Tipo de documento: Article