Sedimentary bacterial communities in subtropical Beibu Gulf: Assembly process and functional profile

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Sedimentary bacterial communities in subtropical Beibu Gulf: Assembly process and functional profile

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Although aquaculture provides a stable and high-quality source of food, the environmental effects related to large-scale industrial aquacultural activities have raised concern. To identify the influence of aquacultural activities on sedimentary bacterial communities, we collected surface and deeper sediments from a series of sites subjected to varying intensities of aquacultural activities within Eastern Lake Taihu, China. The associated physicochemical properties were measured, and 16S rRNA gene sequencing was applied to determine the related bacterial communities in sediment. The diversity and composition of bacterial communities within the surface sediments differed significantly from those of the deeper sediment samples. Marked differences were also found between the surface sediments of the aquaculture-influenced and non-aquaculturally influenced sites. More importantly, phylogenetic structure analysis indicated that stochastic processes dominated the assembly of the bacterial communities; yet, the relative contribution of deterministic processes to bacterial community assembly was greater in the aquacultural zones than in the non-aquacultural zones. Furthermore, we identified total phosphorus (TP) as the most important factor driving the assembly of bacterial communities influenced by aquaculture in sediment. These findings provide useful information for ecological assessments and remediation strategies for aquaculture-influenced ecosystems.

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Although wetlands are one of the major ecosystems on the earth, information about the bacterial communities in different types of wetlands, especially in northeast China, has not yet been fully described. The aim of this study was to compare bacterial community compositions between sediment and water in different types of wetlands of northeast China. In this study, sediment and water samples were synchronously collected from different types of wetlands in northeast China. The bacterial communities were analyzed with Illumina MiSeq sequencing targeting the 16S rRNA gene. The results showed that the dominant phyla (relative abundance > 5%) across all sediment samples were Proteobacteria and Chloroflexi, while those across all water samples were Proteobacteria, Actinobacteria, and Bacteroidetes. Bacterial community composition was distinctly different among wetlands at the phylum and genus levels, and the indicator species for different sediment and water samples also varied greatly. The alpha diversity of bacterial community was higher in sediment samples than in water samples, and the lowest alpha diversity was detected in two coastal wetlands, both in sediment and in water samples. A heatmap analysis at the genus level and principal coordinate analysis revealed that all bacterial communities in sediment or in water samples were separated into distinct groups according to wetland type, and the communities in two coastal wetlands were highly similar to each other both in sediment and water samples, respectively. Bacterial communities in sediment were mainly affected by the available K content, followed by total C and total N, soil pH, etc., while in water, the communities were mainly affected by total P, total K, etc. The results revealed that bacterial community compositions between sediment and water samples were significantly different, and the communities in two coastal wetlands were more similar than those in other wetlands. The wetland sediment samples demonstrated higher community alpha diversity than the water samples, and alpha diversity was lowest in both the sediment and water of two coastal wetlands. Moreover, bacterial communities in sediment and water were driven by different environmental factors.

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Microbes play central roles in ocean food webs and global biogeochemical processes. Yet, the information available regarding the highly diverse bacterial communities in these systems is not comprehensive. Here we investigated the diversity, assembly process, and species coexistence frequency of bacterial communities in seawater and sediment across ∼600 km of the eastern Chinese marginal seas using 16S rRNA gene amplicon sequencing. Our analyses showed that compared with seawater, bacterial communities in sediment possessed higher diversity and experienced tight phylogenetic distribution. Neutral model analysis showed that the relative contribution of stochastic processes to the assembly process of bacterial communities in sediment was lower than that in seawater. Functional prediction results showed that sulfate-reducing bacteria (SRB) were enriched in the core bacterial sub-communities. The bacterial diversities of both sediment and seawater were positively associated with the relative abundance of SRB. Co-occurrence analysis showed that bacteria in seawater exhibited a more complex interaction network and closer co-occurrence relationships than those in sediment. The SRB of seawater were centrally located in the network and played an essential role in sustaining the complex network. In addition, further analysis indicated that the SRB of seawater helped maintain the high stability of the bacterial network. Overall, this study provided further comprehensive information regarding the characteristics of bacterial communities in the ocean, and provides new insights into keystone taxa and their roles in sustaining microbial diversity and stability in ocean.

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Microbial communities in sediment are an important indicator linking to environmental pollution in urban river systems. However, how the diversity and structure of bacterial communities in sediments from an urban river network respond to different environmental factors has not been well studied. The goal of this study was to understand the patterns of bacterial communities in sediments from a highly dense urbanized river network in the lower Yangtze River Delta by Illumina MiSeq sequencing. The correlations between bacterial communities, the environmental gradient and geographical distance were analyzed by redundancy analysis (RDA) and network methods. The diversity and richness of bacterial community in sediments increased from upstream to downstream consistently with the accumulation of nutrient in the urban river network. Bacterial community composition and structure showed obvious spatial changes, leading to two distinct groups, which were significantly related to the characteristics of nutrient and heavy metal in sediments. Humic substance, available nitrogen, available phosphorus, Zn, Cu, Hg and As were selected as the key environmental factors shaping the bacterial community in sediments based on RDA. The co-occurrence patterns of bacterial networks showed that positive interaction between bacterial communities increased but the connectivity among bacterial genera and stability of sediment ecosystem reduced under a higher content of nutrient and heavy metal in average. The sensitive and ubiquitous taxa with an overproportional response to key environmental factors were detected as indicator species, which provided a novel method for the prediction of the pollution risk of sediment in an urban river network.

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