Ocean acidification genetics - Genetics and genomics of response to ocean acidification

We are applying a variety of genetic tools to assess the response of our ocean resources to ocean acidification, including gene expression techniques, identification of candidate genes, and application of genomics. The focus of this research is to determine whether or to what extent the responses of key marine organisms to ocean acidification are evolutionary or phenotypically plastic. At present, this research focuses on invertebrates such as arthropods (e.g., Dungeness crab) and molluscs (e.g., clams, oysters, mussels), but will eventually also include vertebrates (e.g., marine and anadromous fishes).

Genetics and traits.

Laboratory data

Loaded by batch 4330, 02-04-2013 20:03

Subject to Public Access to Research Results (PARR): Yes

At this time, contact the Data Manager for information on obtaining access to this data set. In the near future, the NWFSC will strive to provide all non-sensitive data resources as a web service in order to meet the NOAA Data Access Policy Directive (https://nosc.noaa.gov/EDMC/PD.DA.php).

NA

Spreadsheet

High

These data were collected and processed in accordance with established protocols and best practices under the direction of the project’s Principal Investigator. Contact the dataset Data Manager in section 3 for full QA/QC methodology.

No Delay

The Northwest Fisheries Science Center facilitates backup and recovery of all data and IT components which are managed by IT Operations through the capture of static (point-in-time) backup data to physical media. Once data is captured to physical media (every 1-3 days), a duplicate is made and routinely (weekly) transported to an offsite archive facility where it is maintained throughout the data's applicable life-cycle.

Allele frequency and genotypic data generated from DNA sequence. These data were collected and processed in accordance with established protocols and best practices under the direction of the project’s Principal Investigator. Contact the dataset Data Manager for full QA/QC methodology.