Full-length 16S rRNA gene sequencing reveals spatiotemporal dynamics of bacterial community in a heavily polluted estuary, China.

Ming Hongxia, Fan Jingfeng, Liu Jiwen, Su Jie, Wan Zhiyi, Wang Yantao, Li Dongwei, Li Mengfei, Shi Tingting, Jin Yuan, Huang Huiling, Song Jixue

Environmental pollution (Barking, Essex : 1987) 2021 Apr 15

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Understanding the bacterial community structure of the river estuary could provide insights into the resident microorganisms in response to environmental pollution. In this study, the bacterial community structure of Liaohe Estuary was investigated using single-molecule real-time sequencing (SMRT). A total of 57 samples were collected and grouped according to habitat, space, season, and lifestyle. In seawater, regardless of whether it is particle-attached (PA) or free-living (FL) bacteria, the area with higher alpha diversity is the nearshore area in the dry season, while it is the midstream area in the wet season. The bacterial communities in sediment and seawater samples were different at the genus level in the nearshore area, and habitat type was the main factor. A marked difference in the bacterial community was observed in the dry season between different lifestyles but not in the wet season, which resulted from lifestyle transitions of bacterioplankton. Bacterial community varied spatially but not seasonally in sediment samples. In seawater, both FL and PA bacterial communities varied spatially during the wet season. Seasonal differences were only observed in FL bacterial community. Zn and sand were the principal determining factors of the bacterial community in the sediment, Cu and salinity were the main environmental factors for FL bacteria, and Cu, salinity, Zn and temperature were the main environmental factors for PA bacteria. Besides, the tide and nutrients were also the main drivers of the bacterial community in seawater. The indicative taxa, related to Cyanobium_PCC-6307, Pseudomonas and Vibrio, further evidenced the presence of possible bloom, crude oil and pathogen contamination. Overall, our results can contribute to the knowledge of the bacterial community and anthropogenic impacts on the Liaohe Estuary. Copyright © 2021 Elsevier Ltd. All rights reserved.

Citation

Ming Hongxia, Fan Jingfeng, Liu Jiwen, Su Jie, Wan Zhiyi, Wang Yantao, Li Dongwei, Li Mengfei, Shi Tingting, Jin Yuan, Huang Huiling, Song Jixue. Full-length 16S rRNA gene sequencing reveals spatiotemporal dynamics of bacterial community in a heavily polluted estuary, China. Environmental pollution (Barking, Essex : 1987). 2021 Apr 15;275:116567