Unknown

Dataset Information

0

Comparative fitness analysis of D-cycloserine resistant mutants reveals both fitness-neutral and high-fitness cost genotypes.


ABSTRACT: Drug resistant infections represent one of the most challenging medical problems of our time. D-cycloserine is an antibiotic used for six decades without significant appearance and dissemination of antibiotic resistant strains, making it an ideal model compound to understand what drives resistance evasion. We therefore investigated why Mycobacterium tuberculosis fails to become resistant to D-cycloserine. To address this question, we employed a combination of bacterial genetics, genomics, biochemistry and fitness analysis in vitro, in macrophages and in mice. Altogether, our results suggest that the ultra-low rate of emergence of D-cycloserine resistance mutations is the dominant biological factor delaying the appearance of clinical resistance to this antibiotic. Furthermore, we also identified potential compensatory mechanisms able to minimize the severe fitness costs of primary D-cycloserine resistance conferring mutations.

SUBMITTER: Evangelopoulos D 

PROVIDER: S-EPMC6744398 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Comparative fitness analysis of D-cycloserine resistant mutants reveals both fitness-neutral and high-fitness cost genotypes.

Evangelopoulos Dimitrios D   Prosser Gareth A GA   Rodgers Angela A   Dagg Belinda M BM   Khatri Bhagwati B   Ho Mei Mei MM   Gutierrez Maximiliano G MG   Cortes Teresa T   de Carvalho Luiz Pedro S LPS  

Nature communications 20190913 1


Drug resistant infections represent one of the most challenging medical problems of our time. D-cycloserine is an antibiotic used for six decades without significant appearance and dissemination of antibiotic resistant strains, making it an ideal model compound to understand what drives resistance evasion. We therefore investigated why Mycobacterium tuberculosis fails to become resistant to D-cycloserine. To address this question, we employed a combination of bacterial genetics, genomics, bioche  ...[more]

Similar Datasets

| S-EPMC7919528 | biostudies-literature
| S-EPMC8321526 | biostudies-literature
| S-EPMC5193496 | biostudies-literature
| S-EPMC5400412 | biostudies-literature
2024-09-12 | PXD045466 | Pride
| S-EPMC7526816 | biostudies-literature
| S-EPMC5119051 | biostudies-literature
| S-EPMC5890708 | biostudies-literature
| S-EPMC5596110 | biostudies-literature
| S-EPMC3155954 | biostudies-literature