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Genome scale CRISPRi reveals both shared and strain-specific vulnerabilities in genetically diverse drug-resistant strains of Mycobacterium tuberculosis
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  • Published: 05 June 2026

Genome scale CRISPRi reveals both shared and strain-specific vulnerabilities in genetically diverse drug-resistant strains of Mycobacterium tuberculosis

  • XinYue Wang  ORCID: orcid.org/0000-0001-6990-783X1,2,
  • William J. Jowsey1,2,
  • Chen-Yi Cheung1,
  • Nina Dickerhof  ORCID: orcid.org/0000-0003-2269-45953,
  • Cassandra L. Champan1,2,
  • Jamie R. H. Taka4,
  • Mark B. Hampton  ORCID: orcid.org/0000-0002-7349-37293,
  • Ghader Bashiri  ORCID: orcid.org/0000-0002-5092-37494,
  • Paul P. Gardner  ORCID: orcid.org/0000-0002-7808-12135,6,
  • Peter C. Fineran  ORCID: orcid.org/0000-0002-4639-67041,2,6,7,
  • Gregory M. Cook  ORCID: orcid.org/0000-0001-8349-15001,8,
  • Simon A. Jackson  ORCID: orcid.org/0000-0002-4512-30932,7,9 &
  • …
  • Matthew B. McNeil  ORCID: orcid.org/0000-0001-7747-77451,2 nAff10 

Nature Communications (2026) Cite this article

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Subjects

  • Antibacterial drug resistance
  • Microbial genetics
  • Pathogens

Abstract

The global health burden caused by Mycobacterium tuberculosis is aggravated by the emergence and spread of drug resistance. Mutations that cause drug resistance can have collateral effects that increase the vulnerability of downstream pathways to inhibition. Here, using genome scale CRISPR interference we identified collateral effects associated with different drug-resistant genotypes of M. tuberculosis. We demonstrate that drug resistance generated shared vulnerabilities in several overlapping functional pathways. Most drug-resistant strains were more sensitive to tRNA synthetase knockdowns than the parental drug-sensitive strain, highlighting the potential of tRNA synthetases as high-value drug targets. Additionally, the rifampicin-resistant mutant RpoB(S450L) had increased sensitivity to the dysregulation of sulphur metabolism due to transcriptional dysregulation. This increased vulnerability did not translate to all rpoB genotypes but was linked to predicted effects on transcriptional dynamics. Amongst clinical isolates, non-synonymous mutations in sulphur metabolism genes have evolved in a geographic lineage specific manner to mitigate fitness costs associated with the collateral phenotypes of drug resistance. Combined, our findings highlight the power of functional genomics in pinpointing highly vulnerable drug targets across drug-resistant strains.

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Acknowledgements

We acknowledge the use of New Zealand eScience Infrastructure (NeSI) high performance computing facilities services as part of this research. We thank members of the Department of Microbiology and Immunology 6th floor for helpful discussions.

Funding

This research was supported by project grants awarded by the Health Research Council of New Zealand (20/459 and 22/323) and by Te Niwha, the Infectious Diseases Research Platform – co-hosted by PHF Science and the University of Otago and provisioned by the Ministry of Business, Innovation and Employment, New Zealand (Project number TN/DDC/48/UOOJK) awarded to MM. Sir Charles Hercus Health Research Fellowships supported MM and SAJ (grants 22/156 and 23/228, respectively). PCF was supported by a James Cook Research Fellowship (RSNZ, Te Apārangi). GMC was supported by the Marsden Fund, Royal Society, New Zealand.

Author information

Author notes
  1. Matthew B. McNeil

    Present address: Department of Biochemistry, University of Otago, Dunedin, New Zealand

Authors and Affiliations

  1. Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand

    XinYue Wang, William J. Jowsey, Chen-Yi Cheung, Cassandra L. Champan, Peter C. Fineran, Gregory M. Cook & Matthew B. McNeil

  2. Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland, New Zealand

    XinYue Wang, William J. Jowsey, Cassandra L. Champan, Peter C. Fineran, Simon A. Jackson & Matthew B. McNeil

  3. Mātai Hāora – Centre for Redox Biology and Medicine, Department of Pathology and Molecular Medicine, University of Otago Christchurch, Christchurch, New Zealand

    Nina Dickerhof & Mark B. Hampton

  4. School of Biological Sciences, The University of Auckland, Auckland, New Zealand

    Jamie R. H. Taka & Ghader Bashiri

  5. Department of Biochemistry, University of Otago, Dunedin, New Zealand

    Paul P. Gardner

  6. Genetics Otago, University of Otago, Dunedin, New Zealand

    Paul P. Gardner & Peter C. Fineran

  7. Bio-Protection Research Centre, University of Otago, Dunedin, New Zealand

    Peter C. Fineran & Simon A. Jackson

  8. School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Woolloongabba, QLD, Australia

    Gregory M. Cook

  9. School of Pharmacy and Biomedical Sciences, University of Waikato, Hamilton, New Zealand

    Simon A. Jackson

Authors
  1. XinYue Wang
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  2. William J. Jowsey
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  9. Paul P. Gardner
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  13. Matthew B. McNeil
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Corresponding author

Correspondence to Matthew B. McNeil.

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The authors declare no competing interests.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Wang, X., Jowsey, W.J., Cheung, CY. et al. Genome scale CRISPRi reveals both shared and strain-specific vulnerabilities in genetically diverse drug-resistant strains of Mycobacterium tuberculosis. Nat Commun (2026). https://doi.org/10.1038/s41467-026-73952-x

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  • Received: 21 July 2025

  • Accepted: 22 May 2026

  • Published: 05 June 2026

  • DOI: https://doi.org/10.1038/s41467-026-73952-x

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