Standard Presentation (15 mins) Australian Marine Sciences Association 2022

Whole Genome Resequencing Reveals Signatures of Rapid Selection in a Virus Affected Commercial Fishery (#69)

Owen J Holland 1 2 , Madeline Toomey 1 2 , Collin Ahrens 3 4 , Ary A Hoffman 5 , Laurence J Croft 1 2 , Craig D H Sherman 1 , Adam D Miller 1 2
  1. School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria, Australia
  2. Deakin Genomics Centre, Deakin University, Geelong, Victoria, Australia
  3. School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
  4. Research Centre for Ecosystem Resilience, Australian Institute of Botanical Science, Royal Botanic Garden, Sydney, New South Wales, Australia
  5. School of BioSciences, Bio21 Institute, The University of Melbourne, Parkville, Victoria, Australia

Infectious diseases are recognised as one of the greatest global threats to biodiversity and ecosystem functioning. Consequently, there is a growing urgency to understand the speed at which adaptive phenotypes can evolve and spread in natural populations to inform future management. Here we provide evidence of rapid genomic changes in wild Australian blacklip abalone (Haliotis rubra) following a major population crash associated with an infectious disease. Genome scans on H. rubra were performed using pooled whole genome resequencing data from commercial fishing stocks varying in historical exposure to haliotid herpesvirus-1 (HaHV-1). Approximately 25,000 SNP loci associated with virus exposure were identified, many of which mapped to genes known to contribute to HaHV-1 immunity in the New Zealand pāua (H. iris) and herpesvirus response pathways in haliotids and other animal systems. These findings indicate genetic changes across a single generation in H. rubra fishing stocks decimated by HaHV-1, with stock recovery potentially determined by rapid evolutionary changes leading to virus resistance. This is a novel example of rapid adaptation in natural populations of a non-model marine organism, highlighting the pace at which selection can potentially act to counter disease in wildlife communities.