The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Adapting with Microbial Help: Microbiome Flexibility Facilitates Rapid Responses to Environmental Change
Open accessAbstract
Animals and plants are metaorganisms and associate with microbes that affect their physiology, stress tolerance, and fitness. Here the hypothesis that alteration of the microbiome may constitute a fast‐response mechanism to environmental change is examined. This is supported by recent reciprocal transplant experiments with reef corals, which have shown that their microbiome adapts to thermally variable habitats and changes over time when transplanted into different environments. Further, inoculation of corals with beneficial bacteria increases their stress tolerance. But corals differ in their ability to flexibly associate with different bacteria. How scales of microbiome flexibility may reflect different metaorganism adaptation mechanisms is discussed and future directions for research are pinpointed. It is posited that microbiome flexibility is a broad phenomenon that contributes to the ability of organisms to respond to environmental change. Importantly, adapting with microbial help may provide an alternate route to organismal adaptation that facilitates rapid responses.
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Cited by
Deciphering Trifolium pratense L. holobiont reveals a microbiome resilient to future climate changes
Wahdan, S. F. M., Tanunchai, B., Wu, Y., Sansupa, C., Schädler, M., Dawoud, T. M., Buscot, F., & Purahong, W. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1217 · Cited by 15
Metadata
- Authors
- Voolstra, C. R., & Ziegler, M.
- Venue
- BioEssays
- Publisher
- Wiley
- Published
- 2020-06-16
- Volume
- 42
- Issue
- 7
- Pages
- e2000004-e2000004
- ISSN
- 0265-9247 (ISSN-L)
- 1521-1878
- OpenAlex
- W3027896178
- Cited by
- 303
- References
- 111
- FWCI
- 3.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
