Transcriptomic resilience, symbiont shuffling, and vulnerability to recurrent bleaching in reef-building corals

Mol Ecol. 2019 Jul;28(14):3371-3382. doi: 10.1111/mec.15143. Epub 2019 Jul 10.

Abstract

As climate change progresses and extreme temperature events increase in frequency, rates of disturbance may soon outpace the capacity of certain species of reef-building coral to recover from bleaching. This may lead to dramatic shifts in community composition and ecosystem function. Understanding variation in rates of bleaching recovery among species and how that translates to resilience to recurrent bleaching is fundamental to predicting the impacts of increasing disturbances on coral reefs globally. We tracked the response of two heat sensitive species in the genus Acropora to repeated bleaching events during the austral summers of 2015 and 2017. Despite a similar bleaching response, the species Acropora gemmifera recovered faster based on transcriptome-wide gene expression patterns and had a more dynamic algal symbiont community than Acropora hyacinthus growing on the same reef. Moreover, A. gemmifera had higher survival to repeated heat extremes, with six-fold lower mortality than A. hyacinthus. These patterns suggest that speed of recovery from a first round of bleaching, based on multiple mechanisms, contributes strongly to sensitivity to a second round of bleaching. Furthermore, our data uncovered intragenus variation in a group of corals thought generally to be heat-sensitive and therefore paint a more nuanced view of the future health of coral reef ecosystems against a backdrop of increasing thermal disturbances.

Keywords: Acropora; climate change; coral bleaching; recovery; transcriptomics.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Anthozoa / genetics*
  • Coral Reefs*
  • Gene Expression Regulation
  • Stress, Physiological / genetics
  • Symbiosis / genetics*
  • Temperature
  • Transcriptome / genetics*

Associated data

  • GENBANK/PRJNA522650