期刊
GLOBAL CHANGE BIOLOGY
卷 26, 期 4, 页码 2220-2234出版社
WILEY
DOI: 10.1111/gcb.14999
关键词
Acropora millepora; alpha diversity; beta diversity; climate change; coral; generalized joint attribute model (GJAM); Symbiodiniaceae; Vibrio owensii
资金
- Sigma Xi [G2016100191023671]
- Australian Institute of Marine Science [G11/34671.1, G14/37318.1]
- US National Science Foundation [1635798, 1800914, 1928609, 1401165]
- National Academies of Sciences, Engineering, and Medicine [2000009651]
- Directorate For Geosciences
- Division Of Ocean Sciences [1928609] Funding Source: National Science Foundation
- Division Of Ocean Sciences
- Directorate For Geosciences [1635798, 1800914] Funding Source: National Science Foundation
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1401165] Funding Source: National Science Foundation
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 pCO(2), 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.
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