Th-205A-16
Examination of DNA Profiles Reveals Close Kin Relationships and Provides a Tool for a Genomics Based Fishery Management Approach to Estimate Spawning Stock Biomass in Southern Bluefin Tuna

Thursday, August 21, 2014: 3:40 PM
205A (Centre des congrès de Québec // Québec City Convention Centre)
Peter Grewe , CSIRO Marine And Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Australia
Mark Bravington , Cmis, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Australia
Peta Hill , Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Australia
Rasanthi Gunasekera , Oceans and Atmosphere, CSIRO, Hobart, Australia
Matt Lansdell , Marine and Atmospheric, CSIRO, Hobart, Australia
Pierre Feutry , School of the Environment, Charles Darwin University, Darwin, Australia
Campbell Davies , Cmar, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Australia
Estimated spawning stock biomass is a central measure for management of fisheries stocks and setting total allowable catch (TAC) quotas.  For the highly valued and depleted southern bluefin tuna (Thunnus maccoyii), conventional stock assessment methods provided reasonably precise estimates of relative depletion. Absolute abundance estimates however are much more uncertain, and quite sensitive to different assumptions about data inputs. For this species we present a genetic method to estimate absolute abundance of adult numbers (not the unrelated genetic concept of effective population size, Ne). The estimate is fishery independent and not subject to biases and interpretational problems associated with recent SBT assessments that incorporated catch or CPUE data. We explain statistical basis of this approach.  Our results based on analysis of DNA from 14,000 fish profiled using 25 microsatellite loci provide the first fisheries independent estimate of spawning biomass for a highly migratory stock. Furthermore, parent offspring pairs were tested using RAD sequencing and demonstrate this Next Generation Sequencing approach to be equally feasible for close kin analysis.  Our results indicate this genomics based fishery management approach has the potential to revolutionize monitoring of highly migratory species and has wide ranging applications to terrestrial and marine populations.