The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
The thermal mismatch hypothesis explains host susceptibility to an emerging infectious disease
Abstract
Parasites typically have broader thermal limits than hosts, so large performance gaps between pathogens and their cold‐ and warm‐adapted hosts should occur at relatively warm and cold temperatures, respectively. We tested this thermal mismatch hypothesis by quantifying the temperature‐dependent susceptibility of cold‐ and warm‐adapted amphibian species to the fungal pathogen Batrachochytrium dendrobatidis (Bd) using laboratory experiments and field prevalence estimates from 15 410 individuals in 598 populations. In both the laboratory and field, we found that the greatest susceptibility of cold‐ and warm‐adapted hosts occurred at relatively warm and cool temperatures, respectively, providing support for the thermal mismatch hypothesis. Our results suggest that as climate change shifts hosts away from their optimal temperatures, the probability of increased host susceptibility to infectious disease might increase, but the effect will depend on the host species and the direction of the climate shift. Our findings help explain the tremendous variation in species responses to Bd across climates and spatial, temporal and species‐level variation in disease outbreaks associated with extreme weather events that are becoming more common with climate change.
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R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Global trends in emerging infectious diseases
Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008) · Nature · doi:10.1038/nature06536 · Cited by 8,338
TOWARD A METABOLIC THEORY OF ECOLOGY
Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M., & West, G. B. (2004) · Ecology · doi:10.1890/03-9000 · Cited by 7,779
Updated high‐resolution grids of monthly climatic observations – the CRU TS3 .10 Dataset
Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014) · International Journal of Climatology · doi:10.1002/joc.3711 · Cited by 6,094
Emerging Infectious Diseases of Wildlife-- Threats to Biodiversity and Human Health
Daszak, P., Cunningham, A. A., & Hyatt, A. D. (2000) · Science · doi:10.1126/science.287.5452.443 · Cited by 4,885
Emerging fungal threats to animal, plant and ecosystem health
Fisher, M. C., Henk, D. A., Briggs, C. J., Brownstein, J. S., Madoff, L. C., McCraw, S. L., & Gurr, S. J. (2012) · Nature · doi:10.1038/nature10947 · Cited by 3,310
Microbial biogeography: putting microorganisms on the map
Martiny, J. B. H., Bohannan, B. J. M., Brown, J. H., Colwell, R. K., Fuhrman, J. A., Green, J. L., Horner-Devine, M. C., Kane, M., Krumins, J. A., Kuske, C. R., et al. (2006) · Nature Reviews Microbiology · doi:10.1038/nrmicro1341 · Cited by 3,022
Climate Warming and Disease Risks for Terrestrial and Marine Biota
Harvell, C. D., Mitchell, C. E., Ward, J. R., Altizer, S., Dobson, A. P., Ostfeld, R. S., & Samuel, M. D. (2002) · Science · doi:10.1126/science.1063699 · Cited by 2,725
Amphibian Species of the World: an Online Reference
Frost, D. R. (1999) · doi:10.5531/db.vz.0001 · Cited by 1,982
Widespread amphibian extinctions from epidemic disease driven by global warming
Alan Pounds, J., Bustamante, M. R., Coloma, L. A., Consuegra, J. A., Fogden, M. P. L., Foster, P. N., La Marca, E., Masters, K. L., Merino-Viteri, A., Puschendorf, R., et al. (2006) · Nature · doi:10.1038/nature04246 · Cited by 1,960
Cited by
The complex drivers of thermal acclimation and breadth in ectotherms
Rohr, J. R., Civitello, D. J., Cohen, J. M., Roznik, E. A., Sinervo, B., & Dell, A. I. (2018) · Ecology Letters · doi:10.1111/ele.13107 · Cited by 293
Self-citationMicrobial invasions in terrestrial ecosystems
Thakur, M. P., van der Putten, W. H., Cobben, M. M. P., van Kleunen, M., & Geisen, S. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0236-z · Cited by 129
Metadata
- Authors
- Cohen, J. M., Venesky, M. D., Sauer, E. L., Civitello, D. J., McMahon, T. A., Roznik, E. A., & Rohr, J. R.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2017-01-23
- Volume
- 20
- Issue
- 2
- Pages
- 184-193
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2580928754
- Cited by
- 256
- References
- 63
- FWCI
- 13.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cohen, J. M., Venesky, M. D., Sauer, E. L., Civitello, D. J., McMahon, T. A., Roznik, E. A., & Rohr, J. R. (2017). The thermal mismatch hypothesis explains host susceptibility to an emerging infectious disease. Ecology Letters. https://doi.org/10.1111/ele.12720
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