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Genome-wide SNP analysis reveals an increase in adaptive genetic variation through selective breeding of coral
  • Kate Quigley ,
  • Line Bay,
  • Madeleine van Oppen
Kate Quigley
Australian Institute of Marine Science

Corresponding Author:[email protected]

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Line Bay
Australian Institute of Marine Science
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Madeleine van Oppen
University of Melbourne Faculty of Science
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Abstract

Summer heat waves are the principal global driver of mortality in reef-building corals. Resilience-based genetic management may increase coral heat tolerance, but it is unclear how temperature responses are regulated at a genomic level and thus how corals may adapt to warming naturally or through selective breeding. Here we combine phenotypic, pedigree, and genomic marker data from colonies sourced from a warm reef on the Great Barrier Reef reproductively crossed with conspecific colonies from a cooler reef to produce combinations of warm and cool purebred and hybrid larvae and juveniles. Intra-population breeding created significantly greater genetic diversity across the coral genome and maintained diversity in key regions associated with heat tolerance and fitness. High-density genome-wide scans of single nucleotide polymorphisms (SNPs) identified alleles significantly associated with offspring reared at 27.5°C (87 – 2,224 loci), including loci putatively associated with proteins involved in responses to heat stress (cell membrane formation, metabolism, and immune responses). Underlying genetics explained 43% of PCoA variation in juvenile survival, growth, and bleaching responses at 27.5°C and 31°C between the multilocus genotypes. Genetic marker contribution to total variation in fitness traits (narrow-sense heritability) were high for survival but not for growth and bleaching in juveniles, with heritability of these traits influenced more at 31°C relative to 27.5°C. Using only a limited number of crosses, the mechanistic understanding presented here demonstrates that allele frequencies are affected by one generation of selective breeding, key information for the assessments of genetic intervention feasibility and modelling of reef futures.
09 May 2020Submitted to Molecular Ecology
10 May 2020Reviewer(s) Assigned
13 May 2020Review(s) Completed, Editorial Evaluation Pending
13 May 2020Editorial Decision: Accept
Jun 2020Published in Molecular Ecology volume 29 issue 12 on pages 2176-2188. 10.1111/mec.15482