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Development of Genetics-based Selective Breeding Protocols for Improvement of the Mediterranean Mussel, Mytilus galloprovincialis, and Advancement of Aquaculture

Award Information
Agency: Department of Commerce
Branch: N/A
Contract: WC-133R-16-CN-0114
Agency Tracking Number: WC-133R-16-CN-0114
Amount: $400,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 8.1.1
Solicitation Number: NOAA-2015-2
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-07-18
Award End Date (Contract End Date): 2018-07-24
Small Business Information
820 S. Seaside Ave
San Pedro, CA 90731
United States
DUNS: 079443791
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Philip Cruver
 (562) 544-7410
Business Contact
 Philip Cruver
Phone: (562) 544-7410
Research Institution

The aquaculture industry lags in genetically based selective breeding programs when compared to terrestrial commercial crops. This aggravates the United States’ (U.S.) $11 billion dollar seafood deficit, puts U.S. aquaculture entrepreneurs at an early disadvantage for success, and increases risk of bivalve crop degradation from climate change. Heterosis in bivalve crops, the phenomenon in which hybrid offspring exhibit enhanced traits compared to parental trait values, has been documented in scientific literature, but studies still remain scant and rarely address the genetic components of selection from breeding. To address this gap, Catalina Sea Ranch, LLC (CSR) will develop a novel family line system within the emerging model organism Mytilus galloprovincialis, which will be used to generate the framework for a genetics based selective breeding protocol.
Within this framework, there are 2 main goals for Phase II of SBIR funding: 1) to further develop family line resources in order to have the statistical power to identify specific genes responsible for commercial traits from Phase I; 2) to develop selective breeding protocols based on emerging techniques such as RNA interference and gene counting techniques in order to assess crop value at the earliest possible stages.

* Information listed above is at the time of submission. *

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