The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Potential and limits for rapid genetic adaptation to warming in a Great Barrier Reef coral
Open accessAbstract
Can genetic adaptation in reef-building corals keep pace with the current rate of sea surface warming? Here we combine population genomics, biophysical modeling, and evolutionary simulations to predict future adaptation of the common coral Acropora millepora on the Great Barrier Reef (GBR). Genomics-derived migration rates were high (0.1-1% of immigrants per generation across half the latitudinal range of the GBR) and closely matched the biophysical model of larval dispersal. Both genetic and biophysical models indicated the prevalence of southward migration along the GBR that would facilitate the spread of heat-tolerant alleles to higher latitudes as the climate warms. We developed an individual-based metapopulation model of polygenic adaptation and parameterized it with population sizes and migration rates derived from the genomic analysis. We find that high migration rates do not disrupt local thermal adaptation, and that the resulting standing genetic variation should be sufficient to fuel rapid region-wide adaptation of A. millepora populations to gradual warming over the next 20-50 coral generations (100-250 years). Further adaptation based on novel mutations might also be possible, but this depends on the currently unknown genetic parameters underlying coral thermal tolerance and the rate of warming realized. Despite this capacity for adaptation, our model predicts that coral populations would become increasingly sensitive to random thermal fluctuations such as ENSO cycles or heat waves, which corresponds well with the recent increase in frequency of catastrophic coral bleaching events.
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Cites
Gutenkunst, R. N., Hernandez, R. D., Williamson, S. H., & Bustamante, C. D. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000695 · Cited by 1,906 · cited 1×
“Demographic subdivision and migration patterns Here we applied Diffusion Approximation for Demographic Inference (@a@i, [13]), a methodology of demographic analysis based on allele frequency spectrum (AFS).”
MethodMechanisms of reef coral resistance to future climate change
Palumbi, S. R., Barshis, D. J., Traylor-Knowles, N., & Bay, R. A. (2014) · Science · doi:10.1126/science.1251336 · Cited by 882
Synchronous spawnings of 105 scleractinian coral species on the Great Barrier Reef
Babcock, R. C., Bull, G. D., Harrison, P. L., Heyward, A. J., Oliver, J. K., Wallace, C. C., & Willis, B. L. (1986) · Marine Biology · doi:10.1007/bf00428562 · Cited by 788
EVOLUTIONARY QUANTITATIVE GENETICS: HOW LITTLE DO WE KNOW?
Barton, N. H., & Turelli, M. (1989) · Annual Review of Genetics · doi:10.1146/annurev.ge.23.120189.002005 · Cited by 686 · cited 3×
“While ten-fold higher mutation rate (1e-5) allowed for indefinite adaptation (Fig 4C), such a high mutation rate is unlikely to be realistic [32,34].”
BackgroundRecent Explosive Human Population Growth Has Resulted in an Excess of Rare Genetic Variants
Keinan, A., & Clark, A. G. (2012) · Science · doi:10.1126/science.1217283 · Cited by 548
A universal trend of amino acid gain and loss in protein evolution
Jordan, I. K., Kondrashov, F. A., Adzhubei, I. A., Wolf, Y. I., Koonin, E. V., Kondrashov, A. S., & Sunyaev, S. (2005) · Nature · doi:10.1038/nature03306 · Cited by 297
Incorporating adaptive responses into future projections of coral bleaching
Logan, C. A., Dunne, J. P., Eakin, C. M., & Donner, S. D. (2014) · Global Change Biology · doi:10.1111/gcb.12390 · Cited by 234
A simple plan-Cnidarians and the origins of developmental mechanisms
Ball, E. E., Hayward, D. C., Saint, R., & Miller, D. J. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1402 · Cited by 123
Cited by
Genomic erosion in the assessment of species’ extinction risk and recovery potential
van Oosterhout, C., Speak, S. A., Birley, T., Hitchings, L. W., Bortoluzzi, C., Percival-Alwyn, L., Urban, L., Groombridge, J. J., Segelbacher, G., & Morales, H. E. (2022) · doi:10.1101/2022.09.13.507768 · Cited by 36
Metadata
- Authors
- Matz, M. V., Treml, E. A., Aglyamova, G. V., & Bay, L. K.
- Venue
- PLOS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-04-19
- Volume
- 14
- Issue
- 4
- Pages
- e1007220
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W2802934742
- Cited by
- 245
- References
- 8
- FWCI
- 24.08
- Type
- journal article
- Language
- en
- Open access
- gold
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- Matz, M. V., Treml, E. A., Aglyamova, G. V., & Bay, L. K. (2018). Potential and limits for rapid genetic adaptation to warming in a Great Barrier Reef coral. PLOS Genetics. https://doi.org/10.1371/journal.pgen.1007220
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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