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...

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Published in:PLOS Computational Biology
Main Authors: STRONA Giovanni, BRADSHAW Corey, CARDOSO Pedro, GOTELLI Nicholas, GUILLAUME Frédéric, MANCA Federica, MUSTONEN Ville, ZAMAN Luis
Language:English
Published: PUBLIC LIBRARY SCIENCE 2023
Subjects:
Online Access:https://publications.jrc.ec.europa.eu/repository/handle/JRC131307
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011268
https://doi.org/10.1371/journal.pcbi.1011268
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spelling ftjrc:oai:publications.jrc.ec.europa.eu:JRC131307 2024-02-04T10:03:52+01:00 Time-travelling pathogens and their risk to ecological communities STRONA Giovanni BRADSHAW Corey CARDOSO Pedro GOTELLI Nicholas GUILLAUME Frédéric MANCA Federica MUSTONEN Ville ZAMAN Luis 2023 Online https://publications.jrc.ec.europa.eu/repository/handle/JRC131307 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011268 https://doi.org/10.1371/journal.pcbi.1011268 eng eng PUBLIC LIBRARY SCIENCE JRC131307 2023 ftjrc https://doi.org/10.1371/journal.pcbi.1011268 2024-01-10T23:28:54Z 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. JRC.D.5 - Food Security Other/Unknown Material permafrost Joint Research Centre, European Commission: JRC Publications Repository PLOS Computational Biology 19 7 e1011268
institution Open Polar
collection Joint Research Centre, European Commission: JRC Publications Repository
op_collection_id ftjrc
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. JRC.D.5 - Food Security
author STRONA Giovanni
BRADSHAW Corey
CARDOSO Pedro
GOTELLI Nicholas
GUILLAUME Frédéric
MANCA Federica
MUSTONEN Ville
ZAMAN Luis
spellingShingle STRONA Giovanni
BRADSHAW Corey
CARDOSO Pedro
GOTELLI Nicholas
GUILLAUME Frédéric
MANCA Federica
MUSTONEN Ville
ZAMAN Luis
Time-travelling pathogens and their risk to ecological communities
author_facet STRONA Giovanni
BRADSHAW Corey
CARDOSO Pedro
GOTELLI Nicholas
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 SCIENCE
publishDate 2023
url https://publications.jrc.ec.europa.eu/repository/handle/JRC131307
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011268
https://doi.org/10.1371/journal.pcbi.1011268
genre permafrost
genre_facet permafrost
op_relation JRC131307
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
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