Comparative analysis of microbial community structure in the ponds with different aquaculture model and fish by high-throughput sequencing.

Microb Pathog

Key Laboratory of Tropical and Subtropical Fishery Resource Application and Cultivation, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Guangdong Ecological Remediation of Aquaculture Pollution Research Center, Guangzhou, China. Electronic address:

Published: February 2020

The pond has a complex microbial ecosystem, including microorganisms in water and sediment, which plays an important role in the health of fish and water quality. The microbial community structure in the ponds can be easily affected by many factors. However, not much is known about the role of different aquaculture model and fish on the microbial community structure in ponds. The purpose of the study was to investigate the microbial diversity and composition of the ponds with different aquaculture model and fish by high-throughput sequencing. A total of 3835072 valid sequences were achieved from 60 samples. Additionally, 2064 and 1917 core OTUs were observed in water and sediment samples, respectively. Our results suggested that sediment samples have a higher abundance and diversity of microbial community than water samples. In all the samples, the four most dominant phyla were Proteobacteria, Cyanobacteria, Actinomycetes and Bacteroides. At the genus level, hgcI_clade and CL500-29_marine_group were the dominant bacteria shared by the water samples and sediment samples. In addition, more bacteria related to eutrophication were found in the group of BF, BC and HSB, which suggested that these ponds may have been eutrophicated. In conclusion, the present study revealed the differences in the structure and diversity of microbial communities in ponds with different aquaculture model and fish. Furthermore, changes in typical bacteria of the ponds contribute to detect water quality and prevent water eutrophication.

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http://dx.doi.org/10.1016/j.micpath.2020.104101DOI Listing

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