| Title |
A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification
|
|---|---|
| Published in |
Evolutionary Applications, February 2015
|
| DOI | 10.1111/eva.12248 |
| Pubmed ID | |
| Authors |
Alex J Malvezzi, Christopher S Murray, Kevin A Feldheim, Joseph D DiBattista, Dany Garant, Christopher J Gobler, Demian D Chapman, Hannes Baumann |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 29% |
| United States | 2 | 29% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Jersey | 1 | <1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 106 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 28% |
| Researcher | 20 | 18% |
| Student > Master | 17 | 15% |
| Student > Bachelor | 12 | 11% |
| Student > Doctoral Student | 7 | 6% |
| Other | 13 | 12% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 57% |
| Environmental Science | 19 | 17% |
| Earth and Planetary Sciences | 6 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 11 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 March 2016.
All research outputs
#789,209
of 25,371,288 outputs
Outputs from Evolutionary Applications
#71
of 1,578 outputs
Outputs of similar age
#10,785
of 368,290 outputs
Outputs of similar age from Evolutionary Applications
#1
of 16 outputs
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