Th-205A-15
Looking for Half-Siblings and Beyond: Application to the Management of Threatened Species

Thursday, August 21, 2014: 2:50 PM
205A (Centre des congrès de Québec // Québec City Convention Centre)
Pierre Feutry , School of the Environment, Charles Darwin University, Darwin, Australia
Mark Bravington , Cmis, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Australia
Richard Pillans , Wealth from Oceans Flagship, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, Australia
Peter Grewe , CSIRO Marine And Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Hobart, Australia
Peter Kyne , School of the Environment, Charles Darwin University, Darwin, Australia
Reliable and cost-effective assessment and monitoring tools are urgently required for the conservation and management of data-poor, low abundance, threatened species in Australia, including the Largetooth Sawfish and the Speartooth Shark. In these two species, adults are marine and/or estuarine and too rare for any population assessment based on catch records. Juveniles, however, are easier to access in rivers. We present here a new method that combines close kin genetics and acoustic tagging of juveniles to provide the basic information required for population assessment and management. Juveniles from multiple cohorts are sampled over several years, acoustically tagged, and a genetic samples collected. Acoustic telemetry receivers provide estimates of survivorship and genetic samples are used to identify half-siblings (HS). We will discuss how these data can be used to infer spatial demographic structure, abundance trends, and absolute abundance in adults. We will also discuss preliminary results as well as the methodological challenges we faced and are still facing. This includes ddRAD genotyping and whole genome assembly using NGS and the development of a new statistical method for accurate identification of HS in non-model species. Finally we will discuss how the inference of more distant relationships could help to refine this approach.