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Patterns of cross‐resistance and collateral sensitivity between clinical antibiotics and natural antimicrobials

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posted on 2025-08-01, 00:03 authored by A colclough, J Corander, S Sheppard, S Bayliss, M Vos
Bacteria interact with a multitude of other organisms, many of which produce antimicrobials. Selection for resistance to these antimicrobials has the potential to result in resistance to clinical antibiotics when active compounds target the same bacterial pathways. The possibility of such cross‐resistance between natural antimicrobials and antibiotics has to our knowledge received very little attention. The antimicrobial activity of extracts from seaweeds, known to be prolific producers of antimicrobials, is here tested against Staphylococcus aureus isolates with varied clinical antibiotic resistance profiles. An overall effect consistent with cross‐resistance is demonstrated, with multidrug‐resistant S. aureus strains being on average more resistant to seaweed extracts. This pattern could potentially indicate that evolution of resistance to antimicrobials in the natural environment could lead to resistance against clinical antibiotics. However, patterns of antimicrobial activity of individual seaweed extracts vary considerably and include collateral sensitivity, where increased resistance to a particular antibiotic is associated with decreased resistance to a particular seaweed extract. Our correlation‐based methods allow the identification of antimicrobial extracts bearing most promise for downstream active compound identification and pharmacological testing.

Funding

Academy of Finland

L013177, 1

L015080, 1

Medical Research Council

Natural Environment Research Council (NERC)

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© 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Notes

This is the final version. Available from Wiley open access via the DOI in this record.

Journal

Evolutionary Applications

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Wiley Open Access

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  • Version of Record

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en

FCD date

2019-03-11T11:02:19Z

FOA date

2019-03-11T11:17:52Z

Citation

Published online 6 January 2019

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