A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification
Assessing the potential of marine organisms to adapt genetically to increasing oceanic CO2 levels requires proxies such as heritability of fitness-related traits under ocean acidification (OA). We applied a quantitative genetic method to derive the first heritability estimate of survival under eleva...
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Online Access: | http://hdl.handle.net/10754/346797 https://doi.org/10.1111/eva.12248 |
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ftkingabdullahun:oai:repository.kaust.edu.sa:10754/346797 2023-12-31T10:21:31+01:00 A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification Malvezzi, Alex J. Murray, Christopher S. Feldheim, Kevin A. DiBattista, Joseph Garant, Dany Gobler, Christopher J. Chapman, Demian D. Baumann, Hannes King Abdullah University of Science and Technology (KAUST) Red Sea Research Center (RSRC) School of Marine and Atmospheric Sciences; Stony Brook University; Stony Brook NY USA Department of Marine Sciences; University of Connecticut; Groton CT USA Pritzker Laboratory for Molecular Systematics and Evolution; Field Museum of Natural History; Chicago IL USA Département de Biologie; Université de Sherbrooke; Sherbrooke QC Canada 2015-02-13 application/pdf http://hdl.handle.net/10754/346797 https://doi.org/10.1111/eva.12248 unknown Wiley Malvezzi, A., Murray, C. S., Feldheim, K. A., DiBattista, J. D., Garant, D., Gobler, C. J., … Baumann, H. (2015). A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification [Data set]. PANGAEA - Data Publisher for Earth & Environmental Science. https://doi.org/10.1594/pangaea.848012 DOI:10.1594/PANGAEA.848012 HANDLE:http://hdl.handle.net/10754/624153 Malvezzi, A. J., Murray, C. S., Feldheim, K. A., DiBattista, J. D., Garant, D., Gobler, C. J., … Baumann, H. (2015). Data from: A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification (Version 1) [Data set]. Dryad Digital Repository. https://doi.org/10.5061/dryad.bd6vs DOI:10.5061/DRYAD.BD6VS HANDLE:http://hdl.handle.net/10754/624177 http://doi.wiley.com/10.1111/eva.12248 A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification 2015:n/a Evolutionary Applications doi:10.1111/eva.12248 17524571 Evolutionary Applications PMC4408146 25926880 http://hdl.handle.net/10754/346797 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Article 2015 ftkingabdullahun https://doi.org/10.1111/eva.1224810.1594/PANGAEA.84801210.5061/dryad.bd6vs10.5061/DRYAD.BD6VS 2023-12-02T20:22:08Z Assessing the potential of marine organisms to adapt genetically to increasing oceanic CO2 levels requires proxies such as heritability of fitness-related traits under ocean acidification (OA). We applied a quantitative genetic method to derive the first heritability estimate of survival under elevated CO2 conditions in a metazoan. Specifically, we reared offspring, selected from a wild coastal fish population (Atlantic silverside, Menidia menidia), at high CO2 conditions (~2300 μatm) from fertilization to 15 days posthatch, which significantly reduced survival compared to controls. Perished and surviving offspring were quantitatively sampled and genotyped along with their parents, using eight polymorphic microsatellite loci, to reconstruct a parent-offspring pedigree and estimate variance components. Genetically related individuals were phenotypically more similar (i.e., survived similarly long at elevated CO2 conditions) than unrelated individuals, which translated into a significantly nonzero heritability (0.20 ± 0.07). The contribution of maternal effects was surprisingly small (0.05 ± 0.04) and nonsignificant. Survival among replicates was positively correlated with genetic diversity, particularly with observed heterozygosity. We conclude that early life survival of M. menidia under high CO2 levels has a significant additive genetic component that could elicit an evolutionary response to OA, depending on the strength and direction of future selection. Article in Journal/Newspaper Ocean acidification King Abdullah University of Science and Technology: KAUST Repository Evolutionary Applications 8 4 352 362 |
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Open Polar |
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King Abdullah University of Science and Technology: KAUST Repository |
op_collection_id |
ftkingabdullahun |
language |
unknown |
description |
Assessing the potential of marine organisms to adapt genetically to increasing oceanic CO2 levels requires proxies such as heritability of fitness-related traits under ocean acidification (OA). We applied a quantitative genetic method to derive the first heritability estimate of survival under elevated CO2 conditions in a metazoan. Specifically, we reared offspring, selected from a wild coastal fish population (Atlantic silverside, Menidia menidia), at high CO2 conditions (~2300 μatm) from fertilization to 15 days posthatch, which significantly reduced survival compared to controls. Perished and surviving offspring were quantitatively sampled and genotyped along with their parents, using eight polymorphic microsatellite loci, to reconstruct a parent-offspring pedigree and estimate variance components. Genetically related individuals were phenotypically more similar (i.e., survived similarly long at elevated CO2 conditions) than unrelated individuals, which translated into a significantly nonzero heritability (0.20 ± 0.07). The contribution of maternal effects was surprisingly small (0.05 ± 0.04) and nonsignificant. Survival among replicates was positively correlated with genetic diversity, particularly with observed heterozygosity. We conclude that early life survival of M. menidia under high CO2 levels has a significant additive genetic component that could elicit an evolutionary response to OA, depending on the strength and direction of future selection. |
author2 |
King Abdullah University of Science and Technology (KAUST) Red Sea Research Center (RSRC) School of Marine and Atmospheric Sciences; Stony Brook University; Stony Brook NY USA Department of Marine Sciences; University of Connecticut; Groton CT USA Pritzker Laboratory for Molecular Systematics and Evolution; Field Museum of Natural History; Chicago IL USA Département de Biologie; Université de Sherbrooke; Sherbrooke QC Canada |
format |
Article in Journal/Newspaper |
author |
Malvezzi, Alex J. Murray, Christopher S. Feldheim, Kevin A. DiBattista, Joseph Garant, Dany Gobler, Christopher J. Chapman, Demian D. Baumann, Hannes |
spellingShingle |
Malvezzi, Alex J. Murray, Christopher S. Feldheim, Kevin A. DiBattista, Joseph Garant, Dany Gobler, Christopher J. Chapman, Demian D. Baumann, Hannes A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification |
author_facet |
Malvezzi, Alex J. Murray, Christopher S. Feldheim, Kevin A. DiBattista, Joseph Garant, Dany Gobler, Christopher J. Chapman, Demian D. Baumann, Hannes |
author_sort |
Malvezzi, Alex J. |
title |
A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification |
title_short |
A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification |
title_full |
A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification |
title_fullStr |
A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification |
title_full_unstemmed |
A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification |
title_sort |
quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification |
publisher |
Wiley |
publishDate |
2015 |
url |
http://hdl.handle.net/10754/346797 https://doi.org/10.1111/eva.12248 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_relation |
Malvezzi, A., Murray, C. S., Feldheim, K. A., DiBattista, J. D., Garant, D., Gobler, C. J., … Baumann, H. (2015). A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification [Data set]. PANGAEA - Data Publisher for Earth & Environmental Science. https://doi.org/10.1594/pangaea.848012 DOI:10.1594/PANGAEA.848012 HANDLE:http://hdl.handle.net/10754/624153 Malvezzi, A. J., Murray, C. S., Feldheim, K. A., DiBattista, J. D., Garant, D., Gobler, C. J., … Baumann, H. (2015). Data from: A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification (Version 1) [Data set]. Dryad Digital Repository. https://doi.org/10.5061/dryad.bd6vs DOI:10.5061/DRYAD.BD6VS HANDLE:http://hdl.handle.net/10754/624177 http://doi.wiley.com/10.1111/eva.12248 A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification 2015:n/a Evolutionary Applications doi:10.1111/eva.12248 17524571 Evolutionary Applications PMC4408146 25926880 http://hdl.handle.net/10754/346797 |
op_rights |
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_doi |
https://doi.org/10.1111/eva.1224810.1594/PANGAEA.84801210.5061/dryad.bd6vs10.5061/DRYAD.BD6VS |
container_title |
Evolutionary Applications |
container_volume |
8 |
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4 |
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352 |
op_container_end_page |
362 |
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