Population genomics of eastern oysters, Crassostrea virginica, in a well-mixed estuarine system: advancement and implications for restoration strategies

Eastern oysters, Crassostrea virginica, are historically a keystone species in many of the estuaries in which they reside, providing critical ecosystem services. Because oyster populations have been on the decline for the past century, restoration initiatives currently are underway in many estuarine systems, including Great Bay Estuary (GBE), New Hampshire. Results of prior studies of eastern oyster population genomics cannot be applied directly to GBE, as it is a well-mixed estuarine system that is relatively contained, and the sources of recruits are split among cultivated and native. This study aimed to identify the population genomic structure of eastern oysters in GBE to facilitate determination of effective population size and estimation of genetic differentiation among subpopulations. Results showed moderate genomic differentiation among native, cultivated, and restoration C. virginica subpopulations in the Bay. A small number of breeders (N<sub>e</sub>=163-276) was found in all subpopulations except the Lamprey River site (N<sub>e</sub>=995). This research provides a contemporary snapshot of eastern oyster subpopulation structure at the genomic level in GBE that will facilitate restoration and enhanced management.

Authors

Institutions

Publication Details

Journal
BMC Genomics
Published
2024-12-03
DOI
https://doi.org/10.1186/s12864-024-10988-7
Citations
6
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
Field-Weighted Citation Impact
1.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Population genomics of eastern oysters, Crassostrea virginica, in a well-mixed estuarine system: advancement and implications for restoration strategies

Bonnie L. Brown, A. H. Strickland
6 citations
BMC Genomics
Marine Bivalve and Aquaculture Studies
1.70
article

Population genomics of eastern oysters, Crassostrea virginica, in a well-mixed estuarine system: advancement and implications for restoration strategies

Bonnie L. Brown, A. H. Strickland
article en
6 citations

Abstract

Eastern oysters, Crassostrea virginica, are historically a keystone species in many of the estuaries in which they reside, providing critical ecosystem services. Because oyster populations have been on the decline for the past century, restoration initiatives currently are underway in many estuarine systems, including Great Bay Estuary (GBE), New Hampshire. Results of prior studies of eastern oyster population genomics cannot be applied directly to GBE, as it is a well-mixed estuarine system that is relatively contained, and the sources of recruits are split among cultivated and native. This study aimed to identify the population genomic structure of eastern oysters in GBE to facilitate determination of effective population size and estimation of genetic differentiation among subpopulations. Results showed moderate genomic differentiation among native, cultivated, and restoration C. virginica subpopulations in the Bay. A small number of breeders (N<sub>e</sub>=163-276) was found in all subpopulations except the Lamprey River site (N<sub>e</sub>=995). This research provides a contemporary snapshot of eastern oyster subpopulation structure at the genomic level in GBE that will facilitate restoration and enhanced management.

BMC GenomicsVol. 25(1)
University of New Hampshire (US)
New Hampshire Sea Grant, University of New Hampshire, National Institute of Food and Agriculture, New Hampshire Agricultural Experiment Station
Life below water
Openalex Percentile: Top 16%
Marine Bivalve and Aquaculture Studies
1.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.