Microbial community composition of deep-sea corals from the Red Sea provides insight into functional adaption to a unique environment
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Red Sea Research Center (RSRC)
KAUST Grant NumberFCC/1/1973-18-01
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AbstractMicrobes associated with deep-sea corals remain poorly studied. The lack of symbiotic algae suggests that associated microbes may play a fundamental role in maintaining a viable coral host via acquisition and recycling of nutrients. Here we employed 16 S rRNA gene sequencing to study bacterial communities of three deep-sea scleractinian corals from the Red Sea, Dendrophyllia sp., Eguchipsammia fistula, and Rhizotrochus typus. We found diverse, species-specific microbiomes, distinct from the surrounding seawater. Microbiomes were comprised of few abundant bacteria, which constituted the majority of sequences (up to 58% depending on the coral species). In addition, we found a high diversity of rare bacteria (taxa at <1% abundance comprised >90% of all bacteria). Interestingly, we identified anaerobic bacteria, potentially providing metabolic functions at low oxygen conditions, as well as bacteria harboring the potential to degrade crude oil components. Considering the presence of oil and gas fields in the Red Sea, these bacteria may unlock this carbon source for the coral host. In conclusion, the prevailing environmental conditions of the deep Red Sea (>20 °C, <2 mg oxygen L−1) may require distinct functional adaptations, and our data suggest that bacterial communities may contribute to coral functioning in this challenging environment.
CitationRöthig T, Yum LK, Kremb SG, Roik A, Voolstra CR (2017) Microbial community composition of deep-sea corals from the Red Sea provides insight into functional adaption to a unique environment. Scientific Reports 7: 44714. Available: http://dx.doi.org/10.1038/srep44714.
SponsorsWe thank the crew of the R/V Aegaeo, especially the ROV and submersible team, and all participating scientists (P. Schmitt-Kopplin, N. Hertkorn, C. Roder). We would like to thank CMOR for assistance and support in field operations. This work was supported from baseline funds to CRV and under the Center Competitive Funding (CCF) Program FCC/1/1973-18-01 by the King Abdullah University of Science and Technology (KAUST).
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