title: Transcriptome of American oysters, Crassostrea virginica, in response to bacterial challenge: insights into potential mechanisms of disease resistance.
abstract: The American oyster Crassostrea virginica, an ecologically and economically important estuarine organism, can suffer high mortalities in areas in the Northeast United States due to Roseovarius Oyster Disease (ROD), caused by the gram-negative bacterial pathogen Roseovarius crassostreae. The goals of this research were to provide insights into: 1) the responses of American oysters to R. crassostreae, and 2) potential mechanisms of resistance or susceptibility to ROD. The responses of oysters to bacterial challenge were characterized by exposing oysters from ROD-resistant and susceptible families to R. crassostreae, followed by high-throughput sequencing of cDNA samples from various timepoints after disease challenge. Sequence data was assembled into a reference transcriptome and analyzed through differential gene expression and functional enrichment to uncover genes and processes potentially involved in responses to ROD in the American oyster. While susceptible oysters experienced constant levels of mortality when challenged with R. crassostreae, resistant oysters showed levels of mortality similar to non-challenged oysters. Oysters exposed to R. crassostreae showed differential expression of transcripts involved in immune recognition, signaling, protease inhibition, detoxification, and apoptosis. Transcripts involved in metabolism were enriched in susceptible oysters, suggesting that bacterial infection places a large metabolic demand on these oysters. Transcripts differentially expressed in resistant oysters in response to infection included the immune modulators IL-17 and arginase, as well as several genes involved in extracellular matrix remodeling. The identification of potential genes and processes responsible for defense against R. crassostreae in the American oyster provides insights into potential mechanisms of disease resistance.
authors.affiliation: College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, United States of America.
authors.forename: Ian C
authors.initials: IC
authors.lastname: McDowell
authors.affiliation: College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, United States of America.
authors.forename: Chamilani
authors.initials: C
authors.lastname: Nikapitiya
authors.affiliation: Department of Computer Science and Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America.
authors.forename: Derek
authors.initials: D
authors.lastname: Aguiar
authors.affiliation: College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, United States of America.
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Lane
authors.affiliation: Department of Computer Science and Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America.
authors.forename: Sorin
authors.initials: S
authors.lastname: Istrail
authors.affiliation: College of the Environment and Life Sciences, University of Rhode Island, Kingston, Rhode Island, United States of America.
authors.forename: Marta
authors.initials: M
authors.lastname: Gomez-Chiarri
mesh_terms: D000818:Animals; D005786:Gene Expression Regulation; D010125:Ostreidae / Q000235:genetics* / Q000382:microbiology; D041902:Rhodobacteraceae / Q000472:pathogenicity*; D059467:Transcriptome