A quantitative genetic approach to assess the evolutionary potential of a coastal marine fish to ocean acidification

Alex J. Malvezzi, Christopher S. Murray, Kevin A. Feldheim, Joseph DiBattista, Dany Garant, Christopher J. Gobler, Demian D. Chapman, Hannes Baumann

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)352-362
Number of pages11
JournalEvolutionary Applications
Volume8
Issue number4
DOIs
StatePublished - Feb 13 2015

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Genetics
  • Ecology, Evolution, Behavior and Systematics

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