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

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

Dataset

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 (~2,300 μatm) from fertilization to 15 days post hatch, which significantly reduced survival compared to controls. Perished and surviving offspring were quantitatively sampled and genotyped along with their parents, using 8 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 non-zero heritability (0.20 ± 0.07). The contribution of maternal effects was surprisingly small (0.05 ± 0.04) and non-significant. 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.
Date made available2015
PublisherDryad Digital Repository

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