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Directed evolution of multiple genomic loci allows the prediction of antibiotic resistance.
Nyerges, Ákos; Csörgo, Bálint; Draskovits, Gábor; Kintses, Bálint; Szili, Petra; Ferenc, Györgyi; Révész, Tamás; Ari, Eszter; Nagy, István; Bálint, Balázs; Vásárhelyi, Bálint Márk; Bihari, Péter; Számel, Mónika; Balogh, Dávid; Papp, Henrietta; Kalapis, Dorottya; Papp, Balázs; Pál, Csaba.
Afiliação
  • Nyerges Á; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary; nyerges.akos@brc.mta.hu pal.csaba@brc.mta.hu.
  • Csörgo B; Doctoral School in Biology, Faculty of Science and Informatics, University of Szeged, 6720 Szeged, Hungary.
  • Draskovits G; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Kintses B; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Szili P; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Ferenc G; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Révész T; Nucleic Acid Synthesis Laboratory, Institute of Plant Biology, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Ari E; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Nagy I; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Bálint B; Department of Genetics, Eötvös Loránd University, 1053 Budapest, Hungary.
  • Vásárhelyi BM; Sequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.
  • Bihari P; Sequencing Platform, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Számel M; Sequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.
  • Balogh D; Sequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.
  • Papp H; Sequencing Laboratory, SeqOmics Biotechnology Ltd., 6782 Mórahalom, Hungary.
  • Kalapis D; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
  • Papp B; Doctoral School in Biology, Faculty of Science and Informatics, University of Szeged, 6720 Szeged, Hungary.
  • Pál C; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726 Szeged, Hungary.
Proc Natl Acad Sci U S A ; 115(25): E5726-E5735, 2018 06 19.
Article em En | MEDLINE | ID: mdl-29871954
ABSTRACT
Antibiotic development is frequently plagued by the rapid emergence of drug resistance. However, assessing the risk of resistance development in the preclinical stage is difficult. Standard laboratory evolution approaches explore only a small fraction of the sequence space and fail to identify exceedingly rare resistance mutations and combinations thereof. Therefore, new rapid and exhaustive methods are needed to accurately assess the potential of resistance evolution and uncover the underlying mutational mechanisms. Here, we introduce directed evolution with random genomic mutations (DIvERGE), a method that allows an up to million-fold increase in mutation rate along the full lengths of multiple predefined loci in a range of bacterial species. In a single day, DIvERGE generated specific mutation combinations, yielding clinically significant resistance against trimethoprim and ciprofloxacin. Many of these mutations have remained previously undetected or provide resistance in a species-specific manner. These results indicate pathogen-specific resistance mechanisms and the necessity of future narrow-spectrum antibacterial treatments. In contrast to prior claims, we detected the rapid emergence of resistance against gepotidacin, a novel antibiotic currently in clinical trials. Based on these properties, DIvERGE could be applicable to identify less resistance-prone antibiotics at an early stage of drug development. Finally, we discuss potential future applications of DIvERGE in synthetic and evolutionary biology.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / Genoma Bacteriano / Farmacorresistência Bacteriana Múltipla / Loci Gênicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / Genoma Bacteriano / Farmacorresistência Bacteriana Múltipla / Loci Gênicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2018 Tipo de documento: Article