Dataset: Menidia menidia - Genotyped Offspring
Deployment: lab_Baumann_Gobler_FP

Information about the offspring used in a study of survival of Menidia menidia larvae under high CO2 conditions.
Principal Investigator: 
Hannes Baumann (University of Connecticut, UConn)
Co-Principal Investigator: 
Christopher Gobler (Stony Brook University - SoMAS, SUNY-SB SoMAS)
Contact: 
Hannes Baumann (University of Connecticut, UConn)
BCO-DMO Data Manager: 
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Current State: 
Final no updates expected
Version: 
24 Feb 2015
Version Date: 
2015-02-24
Description

The investigators reared offspring, selected from a wild coastal fish population (Atlantic silverside, Menidia menidia), at high CO2 conditions (~2300 uatm) 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.

Related Dataset: Menidia menidia - Genotyped Parents

This dataset provides the source data to:
Alex J Malvezzi, Christopher S Murray, Kevin A Feldheim, Joseph D DiBattista, Dany Garant, Christopher J Gobler, Demian D Chapman, Hannes Baumann. 2015. Offspring sensitivity to ocean acidification changes seasonally in a coastal marine fish. Evolutionary Applications. doi: 10.1111/eva.12248

Note: This dataset has also been contributed to Dryad and can be found at http://dx.doi.org/10.5061/dryad.bd6vs

More information about this dataset deployment