Time-travelling pathogens and their risk to ecological communities

Permafrost thawing and the potential ‘lab leak’ of ancient microorganisms generate risks of biological invasions for today’s ecological communities, including threats to human health via exposure to emergent pathogens. Whether and how such ‘time-travelling’ invaders could establish in modern communi...

Full description

Bibliographic Details
Published in:PLOS Computational Biology
Main Authors: Strona, Giovanni, Bradshaw, Corey J. A., Cardoso, Pedro, Gotelli, Nicholas J., Guillaume, Frédéric, Manca, Federica, Mustonen, Ville, Zaman, Luis
Other Authors: Antia, Rustom
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2023
Subjects:
Online Access:http://dx.doi.org/10.1371/journal.pcbi.1011268
https://dx.plos.org/10.1371/journal.pcbi.1011268
id crplos:10.1371/journal.pcbi.1011268
record_format openpolar
spelling crplos:10.1371/journal.pcbi.1011268 2024-05-19T07:47:12+00:00 Time-travelling pathogens and their risk to ecological communities Strona, Giovanni Bradshaw, Corey J. A. Cardoso, Pedro Gotelli, Nicholas J. Guillaume, Frédéric Manca, Federica Mustonen, Ville Zaman, Luis Antia, Rustom 2023 http://dx.doi.org/10.1371/journal.pcbi.1011268 https://dx.plos.org/10.1371/journal.pcbi.1011268 en eng Public Library of Science (PLoS) http://creativecommons.org/licenses/by/4.0/ PLOS Computational Biology volume 19, issue 7, page e1011268 ISSN 1553-7358 journal-article 2023 crplos https://doi.org/10.1371/journal.pcbi.1011268 2024-05-01T07:06:12Z Permafrost thawing and the potential ‘lab leak’ of ancient microorganisms generate risks of biological invasions for today’s ecological communities, including threats to human health via exposure to emergent pathogens. Whether and how such ‘time-travelling’ invaders could establish in modern communities is unclear, and existing data are too scarce to test hypotheses. To quantify the risks of time-travelling invasions, we isolated digital virus-like pathogens from the past records of coevolved artificial life communities and studied their simulated invasion into future states of the community. We then investigated how invasions affected diversity of the free-living bacteria-like organisms (i.e., hosts) in recipient communities compared to controls where no invasion occurred (and control invasions of contemporary pathogens). Invading pathogens could often survive and continue evolving, and in a few cases (3.1%) became exceptionally dominant in the invaded community. Even so, invaders often had negligible effects on the invaded community composition; however, in a few, highly unpredictable cases (1.1%), invaders precipitated either substantial losses (up to -32%) or gains (up to +12%) in the total richness of free-living species compared to controls. Given the sheer abundance of ancient microorganisms regularly released into modern communities, such a low probability of outbreak events still presents substantial risks. Our findings therefore suggest that unpredictable threats so far confined to science fiction and conjecture could in fact be powerful drivers of ecological change. Article in Journal/Newspaper permafrost PLOS PLOS Computational Biology 19 7 e1011268
institution Open Polar
collection PLOS
op_collection_id crplos
language English
description Permafrost thawing and the potential ‘lab leak’ of ancient microorganisms generate risks of biological invasions for today’s ecological communities, including threats to human health via exposure to emergent pathogens. Whether and how such ‘time-travelling’ invaders could establish in modern communities is unclear, and existing data are too scarce to test hypotheses. To quantify the risks of time-travelling invasions, we isolated digital virus-like pathogens from the past records of coevolved artificial life communities and studied their simulated invasion into future states of the community. We then investigated how invasions affected diversity of the free-living bacteria-like organisms (i.e., hosts) in recipient communities compared to controls where no invasion occurred (and control invasions of contemporary pathogens). Invading pathogens could often survive and continue evolving, and in a few cases (3.1%) became exceptionally dominant in the invaded community. Even so, invaders often had negligible effects on the invaded community composition; however, in a few, highly unpredictable cases (1.1%), invaders precipitated either substantial losses (up to -32%) or gains (up to +12%) in the total richness of free-living species compared to controls. Given the sheer abundance of ancient microorganisms regularly released into modern communities, such a low probability of outbreak events still presents substantial risks. Our findings therefore suggest that unpredictable threats so far confined to science fiction and conjecture could in fact be powerful drivers of ecological change.
author2 Antia, Rustom
format Article in Journal/Newspaper
author Strona, Giovanni
Bradshaw, Corey J. A.
Cardoso, Pedro
Gotelli, Nicholas J.
Guillaume, Frédéric
Manca, Federica
Mustonen, Ville
Zaman, Luis
spellingShingle Strona, Giovanni
Bradshaw, Corey J. A.
Cardoso, Pedro
Gotelli, Nicholas J.
Guillaume, Frédéric
Manca, Federica
Mustonen, Ville
Zaman, Luis
Time-travelling pathogens and their risk to ecological communities
author_facet Strona, Giovanni
Bradshaw, Corey J. A.
Cardoso, Pedro
Gotelli, Nicholas J.
Guillaume, Frédéric
Manca, Federica
Mustonen, Ville
Zaman, Luis
author_sort Strona, Giovanni
title Time-travelling pathogens and their risk to ecological communities
title_short Time-travelling pathogens and their risk to ecological communities
title_full Time-travelling pathogens and their risk to ecological communities
title_fullStr Time-travelling pathogens and their risk to ecological communities
title_full_unstemmed Time-travelling pathogens and their risk to ecological communities
title_sort time-travelling pathogens and their risk to ecological communities
publisher Public Library of Science (PLoS)
publishDate 2023
url http://dx.doi.org/10.1371/journal.pcbi.1011268
https://dx.plos.org/10.1371/journal.pcbi.1011268
genre permafrost
genre_facet permafrost
op_source PLOS Computational Biology
volume 19, issue 7, page e1011268
ISSN 1553-7358
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1371/journal.pcbi.1011268
container_title PLOS Computational Biology
container_volume 19
container_issue 7
container_start_page e1011268
_version_ 1799487540582940672