Microbial Community Structure and Its Driving Environmental Factors in Black Carp (<i>Mylopharyngodon piceus</i>) Aquaculture Pond
Xuemei Li,
Lu Liu,
Yongjiu Zhu,
Tingbing Zhu,
Xingbing Wu,
Deguo Yang
Affiliations
Xuemei Li
Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
Lu Liu
Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
Yongjiu Zhu
Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
Tingbing Zhu
Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
Xingbing Wu
Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
Deguo Yang
Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
This study focused on monitoring the dynamics of bacterial communities and assessment of the influences of physicochemical parameters during a culture cycle in black carp polyculture ponds. Our results showed high variation in microbial diversity and microbial composition in the water column during the culture period. Proteobacteria, Actinobacteria, and Bacteroidetes were the most abundant phyla, while the abundances of the phyla Cyanobacteria, Firmicutes, and Bacteroidetes changed in different months. Moreover, 13 abundant genera with significant difference were found between different months. Thus, samples in different months were divided into three groups according to principal coordinate analysis (PCoA) and unweighted pair-group method (UPGMA) clustering results. RDA showed that total nitrogen (TN), total phosphorus (TP), phosphate (PO43−-P), nitrate (NO3−-N), temperature (T), dissolved oxygen (DO), and pH significantly shaped the microbial community composition in different months. While Pearson correlation coefficient showed that T, SD, and pH were strongly correlated to the dominant genera. Considering some genera are potential pathogenic bacteria, we could manage the black carp pond by quickly monitoring the water temperature and SD in the future.
