Illumina-based analysis the microbial diversity associated with Thalassia hemprichii in Xincun Bay, South China Sea
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In order to increase our understanding of the microbial diversity associated with seagrass Thalassia hemprichii in Xincun Bay, South China Sea, 16S rRNA gene was identified by highthrough sequencing method. Bacteria associated with seagrass T. hemprichii belonged to 37 phyla, 99 classes. The diversity of bacteria associated with seagrass was similar among the geographically linked coastal locations of Xincun Bay. Proteobacteria was the dominant bacteria and the α-proteobacteria had adapted to the seagrass ecological niche. As well, α-proteobacteria and Pseudomonadales were associated microflora in seagrass meadows, but the interaction between the bacteria and plant is needed to further research. Burkholderiales and Verrucomicrobiae indicated the influence of the bay from anthropogenic activities. Further, Cyanobacteria could imply the difference of the nutrient conditions in the sites. γ-proteobacteria, Desulfobacterales and Pirellulales played a role in the cycle of sulfur, organic mineralization and meadow ecosystem, respectively. In addition, the less abundance bacteria species have key functions in the seagrass meadows, but there is lack knowledge of the interaction of the seagrass and less abundance bacteria species. Microbial communities can response to surroundings and play key functions in the biochemical cycle.
KeywordsThalassia hemprichii Microbial communities Cyanobacteria α-Proteobacteria South China Sea Xincun Bay
This research was supported by the National Natural Science Foundation of China (Nos. 41276113, 41276114, 41406191 and 41430966), the National High Technology Research and Development Program of China (Nos. 2012AA092104, 2013AA092901 and 2013AA092902), the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA11020202), the Science and technology cooperation Projects of Sanya (No. 2013YD74), and the Sanya Station Database and the Information System of CERN, the Open Fund of Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration (No. 201304).
Conflict of interest
The authors declare that they have no conflict of interest.
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