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

(E-pub Ahead of Print)

Author(s): Jiangen Zhou*, Yang Wang, Qiuliang Lei.

Journal Name: Current Bioinformatics

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Abstract:

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

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

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

Results: 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.

Conclusion: 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 to a managed fish pond.

Keywords: functional diversity, microbial community, N and P fractions, OUT annotation, pond ecosystems, 16S rRNA amplicon sequencing, water quality

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1574893615999200422120819
Price: $95

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