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Using Bioinformatics to Quantify the Variability and Diversity of the Microbial Community Structure in Pond Ecosystems of a Subtropical Catchment



In rural China, many natural water bodies and farmlands have been
converted into fish farming ponds as an economic developmental strategy. There is still a limited
understanding of how the diversity and structure of microbial communities change in nature and
become managed fish pond ecosystems.



We aimed to identify the changes of the diversity and structure of microbial community
and driving mechanism in pond ecosystems.



The datasets of 16S rRNA amplicon sequencing and the concentrations of N and P
fractions were achieved in water samples of pond ecosystems. Bioinformatics analysis was used to
analyze the diversity and structure of the microbial communities.



Our results indicated that the diversity and structure of the microbial communities in the
natural ponds were significantly different from ones in managed fish ponds. The nutrients of N and
P and water environmental factors were responsible for 46.3% and 19.5% of the changes in the
structure and diversity of the microbial community, respectively.



 The N and P fractions and water environmental factors influenced the microbial
community structure and diversity in pond ecosystems. Fish farming indirectly affected the
microbial community by altering the contents of N and P fractions in water bodies of ponds, when
a natural pond was converted into a managed fish pond.
