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Genomic models predict successful coral adaptation if future ocean warming rates are reduced
Population genomic surveys suggest that climate-associated genetic variation occurs widely across species, but whether it is sufficient to allow population persistence via evolutionary adaptation has seldom been quantified. To ask whether rapid adaptation in reef-building corals can keep pace with f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665595/ https://www.ncbi.nlm.nih.gov/pubmed/29109975 http://dx.doi.org/10.1126/sciadv.1701413 |
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author | Bay, Rachael A. Rose, Noah H. Logan, Cheryl A. Palumbi, Stephen R. |
author_facet | Bay, Rachael A. Rose, Noah H. Logan, Cheryl A. Palumbi, Stephen R. |
author_sort | Bay, Rachael A. |
collection | PubMed |
description | Population genomic surveys suggest that climate-associated genetic variation occurs widely across species, but whether it is sufficient to allow population persistence via evolutionary adaptation has seldom been quantified. To ask whether rapid adaptation in reef-building corals can keep pace with future ocean warming, we measured genetic variation at predicted warm-adapted loci and simulated future evolution and persistence in a high-latitude population of corals from Rarotonga, Cook Islands. Alleles associated with thermal tolerance were present but at low frequencies in this cooler, southerly locality. Simulations based on predicted ocean warming in Rarotonga showed rapid evolution of heat tolerance resulting in population persistence under mild warming scenarios consistent with low CO(2) emission plans, RCP2.6 and RCP4.5. Under more severe scenarios, RCP6.0 and RCP8.5, adaptation was not rapid enough to prevent extinction. Population adaptation was faster for models based on smaller numbers of additive loci that determine thermal tolerance and for higher population growth rates. Finally, accelerated migration via transplantation of thermally tolerant individuals (1 to 5%/year) sped adaptation. These results show that cool-water corals can adapt to warmer oceans but only under mild scenarios resulting from international emissions controls. Incorporation of genomic data into models of species response to climate change offers a promising method for estimating future adaptive processes. |
format | Online Article Text |
id | pubmed-5665595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56655952017-11-06 Genomic models predict successful coral adaptation if future ocean warming rates are reduced Bay, Rachael A. Rose, Noah H. Logan, Cheryl A. Palumbi, Stephen R. Sci Adv Research Articles Population genomic surveys suggest that climate-associated genetic variation occurs widely across species, but whether it is sufficient to allow population persistence via evolutionary adaptation has seldom been quantified. To ask whether rapid adaptation in reef-building corals can keep pace with future ocean warming, we measured genetic variation at predicted warm-adapted loci and simulated future evolution and persistence in a high-latitude population of corals from Rarotonga, Cook Islands. Alleles associated with thermal tolerance were present but at low frequencies in this cooler, southerly locality. Simulations based on predicted ocean warming in Rarotonga showed rapid evolution of heat tolerance resulting in population persistence under mild warming scenarios consistent with low CO(2) emission plans, RCP2.6 and RCP4.5. Under more severe scenarios, RCP6.0 and RCP8.5, adaptation was not rapid enough to prevent extinction. Population adaptation was faster for models based on smaller numbers of additive loci that determine thermal tolerance and for higher population growth rates. Finally, accelerated migration via transplantation of thermally tolerant individuals (1 to 5%/year) sped adaptation. These results show that cool-water corals can adapt to warmer oceans but only under mild scenarios resulting from international emissions controls. Incorporation of genomic data into models of species response to climate change offers a promising method for estimating future adaptive processes. American Association for the Advancement of Science 2017-11-01 /pmc/articles/PMC5665595/ /pubmed/29109975 http://dx.doi.org/10.1126/sciadv.1701413 Text en Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Bay, Rachael A. Rose, Noah H. Logan, Cheryl A. Palumbi, Stephen R. Genomic models predict successful coral adaptation if future ocean warming rates are reduced |
title | Genomic models predict successful coral adaptation if future ocean warming rates are reduced |
title_full | Genomic models predict successful coral adaptation if future ocean warming rates are reduced |
title_fullStr | Genomic models predict successful coral adaptation if future ocean warming rates are reduced |
title_full_unstemmed | Genomic models predict successful coral adaptation if future ocean warming rates are reduced |
title_short | Genomic models predict successful coral adaptation if future ocean warming rates are reduced |
title_sort | genomic models predict successful coral adaptation if future ocean warming rates are reduced |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665595/ https://www.ncbi.nlm.nih.gov/pubmed/29109975 http://dx.doi.org/10.1126/sciadv.1701413 |
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