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Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis.

ABSTRACT: Transition bias, an overabundance of transitions relative to transversions, has been widely reported among studies of the rates and spectra of spontaneous mutations. However, demonstrating the role of transition bias in adaptive evolution remains challenging. In particular, it is unclear whether such biases direct the evolution of bacterial pathogens adapting to treatment. We addressed this challenge by analyzing adaptive antibiotic-resistance mutations in the major human pathogen Mycobacterium tuberculosis (MTB). We found strong evidence for transition bias in two independently curated data sets comprising 152 and 208 antibiotic-resistance mutations. This was true at the level of mutational paths (distinct adaptive DNA sequence changes) and events (individual instances of the adaptive DNA sequence changes) and across different genes and gene promoters conferring resistance to a diversity of antibiotics. It was also true for mutations that do not code for amino acid changes (in gene promoters and the 16S ribosomal RNA gene rrs) and for mutations that are synonymous to each other and are therefore likely to have similar fitness effects, suggesting that transition bias can be caused by a bias in mutation supply. These results point to a central role for transition bias in determining which mutations drive adaptive antibiotic resistance evolution in a key pathogen.

SUBMITTER: Payne JL

PROVIDER: S-EPMC6532934 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis.

Payne Joshua L JL Menardo Fabrizio F Trauner Andrej A Borrell Sonia S Gygli Sebastian M SM Loiseau Chloe C Gagneux Sebastien S Hall Alex R AR

PLoS biology 20190513 5

Transition bias, an overabundance of transitions relative to transversions, has been widely reported among studies of the rates and spectra of spontaneous mutations. However, demonstrating the role of transition bias in adaptive evolution remains challenging. In particular, it is unclear whether such biases direct the evolution of bacterial pathogens adapting to treatment. We addressed this challenge by analyzing adaptive antibiotic-resistance mutations in the major human pathogen Mycobacterium ...[more]

PMID: 31083647

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Project description:A novel method for the detection of any alteration within a defined sequence has recently been demonstrated (A. Lishanski, N. Kurn, and E. F. Ullman, Nucleic Acids Res. 28:E42, 2000; A. Lishanski, Clin. Chem. 46:9, 2000). Essential to this method are the generation of partial duplexes that are capable of forming four-stranded structures and the ability to detect inhibition of branch migration in these structures (I. G. Panyutin and P. Hsieh, J. Mol. Biol. 230:413-424, 1993). Inhibition of branch migration indicates the presence of sequence alteration. This mutation detection method, termed branch migration inhibition (BMI), is suitable for the detection of drug resistance in M. tuberculosis, which is frequently associated with multiple mutations within known genes. We describe the genotypic determination of the rifampin (RMP) and pyrazinamide (PZA) susceptibilities of M. tuberculosis isolates, using BMI coupled with the luminescence oxygen channeling immunoassay (LOCI) (E. F. Ullman et al., Proc. Natl. Acad. Sci. USA 91:5426-5430, 1994). RMP and PZA resistances are associated with multiple mutations within the rpoB and pncA genes, respectively. M. tuberculosis genomic DNA samples prepared from 46 clinical isolates were used for genotypic determination of RMP resistance in a "blind study." Similarly, PZA resistance was determined using genomic DNA samples prepared from 37 clinical isolates. Full agreement of the genotypic and phenotypic determinations of drug susceptibility was demonstrated. RMP susceptibility determination directly from cells of 10 clinical isolates grown in culture was also demonstrated. The genotypic result of only 1 out of 10 isolates did not agree with the phenotypic susceptibility testing result. Sequence analysis of the rpoB gene of this clinical isolate revealed a single base substitution, most likely a silent point mutation. The new BMI-LOCI mutation detection method is a rapid and accurate procedure for the genotypic determination of the RMP and PZA susceptibilities of M. tuberculosis clinical isolates. BMI can also be detected by using commercially available automated enzyme-linked immunosorbent assay plate formats (Lishanski et al., Nucleic Acids Res. 28:E42, 2000).

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Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis.

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Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis.

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