Symbiont community diversity is more variable in corals that respond poorly to stress.
| Title: | Symbiont community diversity is more variable in corals that respond poorly to stress. |
|---|---|
| Authors: | Howe-Kerr LI; BioSciences at Rice, Rice University, Houston, TX, USA.; Bachelot B; BioSciences at Rice, Rice University, Houston, TX, USA.; Wright RM; Biological Sciences, Smith College, Northampton, MA, USA.; Kenkel CD; Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.; Bay LK; Australian Institute of Marine Science, Townsville, Qld, Australia.; Correa AMS; BioSciences at Rice, Rice University, Houston, TX, USA. |
| Source: | Global change biology [Glob Chang Biol] 2020 Apr; Vol. 26 (4), pp. 2220-2234. Date of Electronic Publication: 2020 Feb 12. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Blackwell Pub Country of Publication: England NLM ID: 9888746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2486 (Electronic) Linking ISSN: 13541013 NLM ISO Abbreviation: Glob Chang Biol Subsets: MEDLINE; PubMed not MEDLINE |
| Imprint Name(s): | Publication: : Oxford : Blackwell Pub.; Original Publication: Oxford, UK : Blackwell Science, 1995- |
| Abstract: | Coral reefs are declining globally as climate change and local water quality press environmental conditions beyond the physiological tolerances of holobionts-the collective of the host and its microbial symbionts. To assess the relationship between symbiont composition and holobiont stress tolerance, community diversity metrics were quantified for dinoflagellate endosymbionts (Family: Symbiodiniaceae) from eight Acropora millepora genets that thrived under or responded poorly to various stressors. These eight selected genets represent the upper and lower tails of the response distribution of 40 coral genets that were exposed to four stress treatments (and control conditions) in a 10-day experiment. Specifically, four 'best performer' coral genets were analyzed at the end of the experiment because they survived high temperature, high pCO2 , bacterial exposure, or combined stressors, whereas four 'worst performer' genets were characterized because they experienced substantial mortality under these stressors. At the end of the experiment, seven of eight coral genets mainly hosted Cladocopium symbionts, whereas the eighth genet was dominated by both Cladocopium and Durusdinium symbionts. Symbiodiniaceae alpha and beta diversity were higher in worst performing genets than in best performing genets. Symbiont communities in worst performers also differed more after stress exposure relative to their controls (based on normalized proportional differences in beta diversity), than did best performers. A generalized joint attribute model estimated the influence of host genet and treatment on Symbiodiniaceae community composition and identified strong associations among particular symbionts and host genet performance, as well as weaker associations with treatment. Although dominant symbiont physiology and function contribute to host performance, these findings emphasize the importance of symbiont community diversity and stochasticity as components of host performance. Our findings also suggest that symbiont community diversity metrics may function as indicators of resilience and have potential applications in diverse disciplines from climate change adaptation to agriculture and medicine.; (© 2020 John Wiley & Sons Ltd.) |
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| Grant Information: | G2016100191023671 Sigma Xi Grant-in-Aid of Research; G11/34671.1 Australian Institute of Marine Science; G14/37318.1 Australian Institute of Marine Science; 1635798 US National Science Foundation; 1800914 US National Science Foundation; 1928609 US National Science Foundation; 1401165 US National Science Foundation; 2000009651 National Academies of Sciences, Engineering, and Medicine |
| Contributed Indexing: | Keywords: Acropora millepora; Vibrio owensii; Symbiodiniaceae; alpha diversity; beta diversity; climate change; coral; generalized joint attribute model (GJAM) |
| Molecular Sequence: | GENBANK PRJNA596498; AF427468; AB778606; AY589737; EU118163.1; AF334660; AY686649 |
| Entry Date(s): | Date Created: 20200213 Latest Revision: 20231129 |
| Update Code: | 20260130 |
| DOI: | 10.1111/gcb.14999 |
| PMID: | 32048447 |
| Database: | MEDLINE |
Journal Article