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Conserved transcriptomic heat stress response signatures in coral recruits selectively bred from thermally distinct broodstock in a low-differentiation system

Created on 30 Jun 2026

Authors

Edmunds, R. C., Macadam, A., Morgans, C. A., McCutchan, G. A., Danhorn, T., Laffy, P. W., Buerger, P., van Oppen, M., Quigley, K. M., Lamb, A. M.

Abstract

Thermal history provenancing can guide the choice of parental broodstock for selective breeding of corals from distinct reefs and has been proposed as an intervention for enhancing climate resilience. However, the genetic and molecular mechanisms underlying resultant offspring responses to heat stress, particularly during early life stages, remain poorly understood. Here, we generated Acropora tersa larvae and recruits by crossing parental colonies from the historically warmer Martin Reef and cooler Davies Reef and assessed the effects of within and between reef crosses on genetic diversity and transcriptional responses to heat stress. Genome wide single nucleotide polymorphism analyses showed that broodstock from Martin and Davies Reefs were weakly differentiated (FST {equiv} 0.008) and exhibited comparable heterozygosity, as did all larval offspring groups. Transcriptomic analyses of recruits exposed to heat stress (32{degrees}C for 36 days) revealed that both within and between reef offspring groups activated conserved stress response pathways, with seven genotype independent heat responsive genes detected across all offspring groups. Differential expression and enrichment analyses showed induction of defence, protein homeostasis, intracellular transport, and metabolic processes alongside repression of growth and signalling related functions, consistent with the Type A General Coral Stress Response. Taken together, these findings suggest that the benefits of thermal history provenancing-informed selective breeding may be limited in low-differentiation systems and that targeted pre-screening of broodstock may help capture functional genetic variation relevant to restoration applications.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 30 Jun 2026.

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