Tuberculosis treatment failure associated with evolution of antibiotic resilience

Author:

Liu Qingyun1ORCID,Zhu Junhao1ORCID,Dulberger Charles L.123ORCID,Stanley Sydney1ORCID,Wilson Sean2ORCID,Chung Eun Seon45ORCID,Wang Xin1ORCID,Culviner Peter1,Liu Yue J.1ORCID,Hicks Nathan D.1ORCID,Babunovic Gregory H.1ORCID,Giffen Samantha R.1,Aldridge Bree B.45ORCID,Garner Ethan C.2ORCID,Rubin Eric J.1ORCID,Chao Michael C.1ORCID,Fortune Sarah M.16ORCID

Affiliation:

1. Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.

2. Department of Molecular and Cellular Biology, Harvard University, Boston, MA, USA.

3. Present address: BioNTech US, Cambridge, MA, USA.

4. Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA 02111, USA.

5. Department of Biomedical Engineering, Tufts University School of Engineering, Medford, MA 02115, USA.

6. Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Abstract

The widespread use of antibiotics has placed bacterial pathogens under intense pressure to evolve new survival mechanisms. Genomic analysis of 51,229 Mycobacterium tuberculosis ( Mtb ) clinical isolates has identified an essential transcriptional regulator, Rv1830 , herein called resR for resilience regulator, as a frequent target of positive (adaptive) selection. resR mutants do not show canonical drug resistance or drug tolerance but instead shorten the post-antibiotic effect, meaning that they enable Mtb to resume growth after drug exposure substantially faster than wild-type strains. We refer to this phenotype as antibiotic resilience. ResR acts in a regulatory cascade with other transcription factors controlling cell growth and division, which are also under positive selection in clinical isolates of Mtb . Mutations of these genes are associated with treatment failure and the acquisition of canonical drug resistance.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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