ArticlePloS one2013
Temporal and spatial diversity of bacterial communities in coastal waters of the South china sea.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Spatiotemporal Dynamics and Assembly Mechanisms of Bacterial Communities in Tropical-Subtropical Coastal Waters of the Leizhou Peninsula, China.Microorganisms · 2026Article
- Seasonal variability in community structure and metabolism of active deep-sea microorganisms.The ISME journal · 2025Article
- Correlation Analysis of Soil Microbial Communities and Physicochemical Properties with Growth Characteristics ofPlants (Basel, Switzerland) · 2024Article
- Characterization of a novel monooxygenase originating from a deep-sea sediment metagenomic library.Applied microbiology and biotechnology · 2023Article
- Heterogeneous selection dominated the temporal variation of the planktonic prokaryotic community during different seasons in the coastal waters of Bohai Bay.Scientific reports · 2022Article
- Bacterioplankton community variation in Bohai Bay (China) is explained by joint effects of environmental and spatial factors.MicrobiologyOpen · 2020Article
- Microbial communities on fish eggs fromPeerJ · 2020Article
- Bacteria From the Multi-Contaminated Tinto River Estuary (SW, Spain) Show High Multi-Resistance to Antibiotics and Point toFrontiers in microbiology · 2019Article
- Community Structure, Abundance and Potential Functions of Bacteria and Archaea in the Sansha Yongle Blue Hole, Xisha, South China Sea.Frontiers in microbiology · 2019Article
- Distribution, Community Composition, and Potential Metabolic Activity of Bacterioplankton in an Urbanized Mediterranean Sea Coastal Zone.Applied and environmental microbiology · 2017Article
- Spatial and vertical distribution of bacterial community in the northern South China Sea.Ecotoxicology (London, England) · 2015Article
- Whole genome amplification approach reveals novel polyhydroxyalkanoate synthases (PhaCs) from Japan Trench and Nankai Trough seawater.BMC microbiology · 2014Article
- Spatial structuring dominates over seasonality in tropical coastal microbiomes: Insights from New Caledonia's Indo-Pacific lagoon.Journal of environmental qualityArticle
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Authors and funding
7 authors.
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Abstract
Bacteria are recognized as important drivers of biogeochemical processes in all aquatic ecosystems. Temporal and geographical patterns in ocean bacterial communities have been observed in many studies, but the temporal and spatial patterns in the bacterial communities from the South China Sea remained unexplored. To determine the spatiotemporal patterns, we generated 16S rRNA datasets for 15 samples collected from the five regularly distributed sites of the South China Sea in three seasons (spring, summer, winter). A total of 491 representative sequences were analyzed by MOTHUR, yielding 282 operational taxonomic units (OTUs) grouped at 97% stringency. Significant temporal variations of bacterial diversity were observed. Richness and diversity indices indicated that summer samples were the most diverse. The main bacterial group in spring and summer samples was Alphaproteobacteria, followed by Cyanobacteria and Gammaproteobacteria, whereas Cyanobacteria dominated the winter samples. Spatial patterns in the samples were observed that samples collected from the coastal (D151, D221) waters and offshore (D157, D1512, D224) waters clustered separately, the coastal samples harbored more diverse bacterial communities. However, the temporal pattern of the coastal site D151 was contrary to that of the coastal site D221. The LIBSHUFF statistics revealed noticeable differences among the spring, summer and winter libraries collected at five sites. The UPGMA tree showed there were temporal and spatial heterogeneity of bacterial community composition in coastal waters of the South China Sea. The water salinity (P=0.001) contributed significantly to the bacteria-environment relationship. Our results revealed that bacterial community structures were influenced by environmental factors and community-level changes in 16S-based diversity were better explained by spatial patterns than by temporal patterns.
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