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Sci Rep
2016 Jan 13;6:19324. doi: 10.1038/srep19324.
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Host-associated coral reef microbes respond to the cumulative pressures of ocean warming and ocean acidification.
Webster NS
,
Negri AP
,
Botté ES
,
Laffy PW
,
Flores F
,
Noonan S
,
Schmidt C
,
Uthicke S
.
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Key calcifying reef taxa are currently threatened by thermal stress associated with elevated sea surface temperatures (SST) and reduced calcification linked to ocean acidification (OA). Here we undertook an 8 week experimental exposure to near-future climate change conditions and explored the microbiome response of the corals Acropora millepora and Seriatopora hystrix, the crustose coralline algae Hydrolithon onkodes, the foraminifera Marginopora vertebralis and Heterostegina depressa and the sea urchin Echinometra sp. Microbial communities of all taxa were tolerant of elevated pCO2/reduced pH, exhibiting stable microbial communities between pH 8.1 (pCO2 479-499 μatm) and pH 7.9 (pCO2 738-835 μatm). In contrast, microbial communities of the CCA and foraminifera were sensitive to elevated seawater temperature, with a significant microbial shift involving loss of specific taxa and appearance of novel microbial groups occurring between 28 and 31 °C. An interactive effect between stressors was also identified, with distinct communities developing under different pCO2 conditions only evident at 31 °C. Microbiome analysis of key calcifying coral reef species under near-future climate conditions highlights the importance of assessing impacts from both increased SST and OA, as combinations of these global stressors can amplify microbial shifts which may have concomitant impacts for coral reef structure and function.
Figure 1. Heatmap illustrating the distribution of 454 amplicon
reads for each species across all temperature and pCO2
treatments.The average number of reads per taxa is calculated from the
percentage of total reads in each sample. The heatmap represents the Phyla level with the exception
of the Proteobacteria which have been represented at the Class level. Amâ=âAcropora millepora, Shâ=âSeriatopora hystrix, Hoâ=âHydrolithon onkodes, Hdâ=âHeterstegina depressa, Mvâ=âMarginopora vertebralis, Ecâ=âEchinometra sp. and Swâ=âseawater. The mean percentageâ±âstandard error of each bacterial taxa in individual samples is presented in SOM Tables 1â7.
Figure 2. Distance based redundancy analyses (dbRDA) using a Bray Curtis distance matrix to summarise the variation in composition of bacterial communities for A. millepora, S. hystrix, H. depressa and M. vertebralis that was attributable to treatment (ie temperature or pCO2).pH 7.9 is represented by red circles and pH 8.1 by orange circles and all points within each temperature are joined. For clarity, vectors and taxonomic affiliations (including OTU identifiers) are only shown for the 1% most discriminating OTUs.
Figure 3. Distance based redundancy analyses (dbRDA) using a Bray Curtis distance matrix to summarise the variation in composition of bacterial communities for H. onkodes, Echinometra sp. and seawater that was attributable to treatment (ie temperature or pCO2).pH 7.9 is represented by red circles and pH 8.1 by orange circles and all points within each temperature are joined. For clarity, vectors and taxonomic affiliations (including OTU identifiers) are only shown for the 1% most discriminating OTUs.
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