Cited by 129Ecology and Vegetation Dynamics StudiesMicrobial Community Ecology and PhysiologyMarine Ecology and Invasive Species

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Microbial invasions in terrestrial ecosystems

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Abstract

Human travel and global trade have tremendously increased the spread of invasive microorganisms in new regions. Experimental and observational studies in terrestrial ecosystems are beginning to shed light on processes of microbial invasions, their ecological impacts and implications for ecosystem functioning. We provide examples of terrestrial invasive microorganisms, including bacteria, fungi, oomycetes and other protists, and viruses, and discuss the impacts of pathogenic and non-pathogenic invasive microorganisms at levels ranging from host species to ecosystems. This Review highlights that despite the recent progress in microbial invasion research, we are only beginning to understand how alien microorganisms interact with native microorganisms, and the implications of those interactions. Finally, we propose three research themes - microbial interactions, impacts and climate change - to make microbial invasion research a truly integrative discipline.

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  • Microbes including animal and plant pathogens are arguably the most poorly documented of all invasive alien species.

    “Microbes including animal and plant pathogens are arguably the most poorly documented of all IAS.”

    From Scientists' warning on invasive alien species (2020) · cites this paper as Thakur et al., 2019

    The available passages contain the paper’s title and bibliographic metadata (unpaged; one is labelled Abstract), but no substantive discussion of how well microbial invasive alien species are documented. Searches for the quoted claim, pathogens, and comparisons with other invasive species returned no relevant passage, so this copy cannot verify the attribution. (LLM, conf=0.74)

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References 125 · Cited by 129

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Metadata

Authors
Thakur, M. P., van der Putten, W. H., Cobben, M. M. P., van Kleunen, M., & Geisen, S.
Affiliations
  • Netherlands Institute of Ecology (NL)
  • University of Würzburg (DE)
  • University of Konstanz (DE)
Corresponding author
Thakur, Madhav P.
Venue
Nature Reviews Microbiology
Published
2019-07-26
Volume
17
Issue
10
Pages
621-631
ISSN
  • 1740-1526 (ISSN-L)
  • 1740-1534
OpenAlex
W2962880972
Cited by
129
References
125
Citations by year
2026: 15 · 2025: 17 · 2024: 26 · 2023: 16 · 2022: 16 · 2021: 19 · 2020: 16 · 2019: 4
FWCI
1.43
Type
journal article
Language
en
Open access
Locations
  • Nature Reviews Microbiology (publishedVersion)
  • PubMed (publishedVersion)
  • KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (publishedVersion, other-oa)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • KOPS (University of Konstanz) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
Deutsche Forschungsgemeinschaft (TH 2307/1‐1)
Topics
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
  • Physical Sciences › Environmental Science › Global and Planetary Change › Marine Ecology and Invasive Species
Keywords
microbial invasion, terrestrial ecosystems, invasive fungi, oomycete, protists, plant viruses, pathogenic microorganisms, non-pathogenic microorganisms, microbial interactions, ecosystem functioning, climate change, human-mediated dispersal
MeSH terms
Host Microbial Interactions, Animals, Humans, Plants, Travel, Ecosystem, Microbial Interactions, Climate Change, Introduced Species, Microbiota

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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