Oral Presentation Australian Society for Fish Biology & Australian Freshwater Sciences Society Conference 2026

Genomic markers of climate susceptibility and resilience across three fisheries species (145450)

Sharon E Hook 1 , Alistair J Hobday 1 , Asif Ahmed 2 , Demi Cho 2 , Ryan Farr 3 , Leon Court 2 , Gunjan Pandey 2 , Rahul Rane 4 , Aisling Fontanini 5 , Luke Pilmer 5 , Lindsey Woolley 5 , Tom Walsh 2
  1. CSIRO Oceans & Atmosphere, Hobart, TASMANIA, Australia
  2. CSIRO, Canberra, ACT, Australia
  3. AAHL, CSIRO, Geelong, VIC, Australia
  4. CSIRO, Parkville, VIC, Australia
  5. Aquaculture Research and Development, Department of Primary Industries and Regional Development, Perth, WA, Australia

Marine Heatwaves are increasing in both frequency and intensity.  To be able to predict their impact on aquatic systems, we need to understand species capacity for vulnerability and resilience.  However, measuring performance under thermal pressures may not be feasible for every species; it would be helpful to have the capacity to predict susceptibility and resilience.  In a series of recent experiments, we set out to identify genomic traits that may help us predict the capacity of species to adapt to climate change.  We examined the genomes and transcriptomes of three fisheries species, including the saucer scallop, Ylistrum balloti, that are vulnerable to climate pressures, and compare them to species such as black lipped rock oyster (Saccostrea echinata), which is resilient to climate pressures, or Yellowtail Kingfish (Seriola lalandi), which is adaptable to changing temperatures. Differences in the numbers of heat shock proteins encoded in the genome may confer resilience and climate resilience and susceptibility in the bivalves.  For scallops, the energetic costs of thermal stress response may be contributing to the ongoing reduced spawning stock abundance. The ability of Yellowtail Kingfish to adapt to new rearing conditions may be related to its use of alternative splicing.   Finally, pathways for using genomic traits such as orthologue numbers, alternative splicing, and repetitive elements, to forecast fisheries susceptibility or resilience to climate pressures will be discussed.