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Updated: Jan 9, 2026
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
16S rRNA gene-based big data profiling and comparative statistical analysis of anammox communities under different
Haotian Liu1, Zijian Tao1, Ying Song1
1Zhejiang Key Laboratory of Solid Waste Pollution Control and Resource Utilization, School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou 310012, China.
Abstract:
In this study, we employ big-data analytics to perform a large-scale normalized comparison of microbial communities across varying influent characteristics, offering new insights into the community structure and functional responses of the anaerobic ammonium oxidation (anammox) process. We compiled 708 16S rRNA gene sequencing datasets of anammox-related consortia under five culturing conditions: natural environments, clean substrate, heavy metals (HMs) exposure, organics-amended medium, and antibiotic stress. Natural consortia exhibited the highest microbial diversity, whereas all artificially enriched consortia showed a marked simplification of community structure. Network analysis showed HMs/antibiotics sparsified microbial networks, weakening interspecies links; AnAOB homogenized under both stresses (Candidatus Kuenenia dominance) but shifted to Candidatus Brocadia under organics. By large-scale normalized analysis systematically characterizing the microbial community structures and core taxa variations under distinct feed regimes-particularly those of nitrogen-transformation groups-this study provides new insights into the ecological resilience and adaptability of anammox-related communities.
