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Crassostrea virginica Genome sequencing and assembly

dataset
posted on 2024-11-23, 21:49 authored by McDonnell Genome Institute - Washington University School of Medicine
The Eastern oyster, Crassostrea virginica, provides important ecological and economical services, making it the target of restoration projects and supporting a significant fishery/aquaculture industry with landings valued at more than $100 million in 2012. While traditional breeding practices have achieved production of oyster lines with fast growth and improved disease resistance, little is known about the genetic basis of traits of commercial, biological, and ecological importance. Advanced molecular breeding techniques necessitate information regarding markers and genes associated with these traits. The goal of this research is to develop tools and resources to assist in the elucidation of the genomic basis of traits of commercial, biological, evolutionary, and ecological interest in the Eastern oyster. We propose to develop these key resources and tools by performing the sequencing, assembly, and annotation of a reference genome and transcriptome for the Eastern oyster C. virginica. Genome researchers and bioinformatics experts, in collaboration with the Eastern Oyster Genome Consortium, will use state-of-the-art sequencing and assembly strategies to achieve these aims. These reference genome and transcriptomes for the Eastern oysters will aid the research community in the discovery of candidate genes and markers associated with traits of commercial, biological, and ecological importance in oysters.

Funding

USDA: AFRI COMPETITIVE GRANT 1005328

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2017-03-07

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

genomics; sequence analysis; genome assembly

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA376014

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA376014 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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