Genome Watch | Published:

Breaking the code of antibiotic resistance

Nature Reviews Microbiology volume 16, page 262 (2018) | Download Citation

This month's Genome Watch highlights how a better understanding of genotype–phenotype correlation may lead to the design of new diagnostic tests for antimicrobial resistance in clinical settings.

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References

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    et al. The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee. Clin. Microbiol. Infect. 23, 2–22 (2017).

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    et al. Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis. Nat. Genet. 50, 307–316 (2018).

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    et al. Validation of beta-lactam minimum inhibitory concentration predictions for pneumococcal isolates with newly encountered penicillin binding protein (PBP) sequences. BMC Genomics 18, 621 (2017).

  4. 4.

    et al. Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae. Sci. Rep. 8, 421 (2018).

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Author information

Affiliations

  1. Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.

    • Stephanie W. Lo
    •  & Nicole E. Wheeler
  2. Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK; and the Department of Medicine, University of Cambridge, Cambridge, UK.

    • Narender Kumar

Authors

  1. Search for Stephanie W. Lo in:

  2. Search for Narender Kumar in:

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Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Stephanie W. Lo.

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DOI

https://doi.org/10.1038/nrmicro.2018.33

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