ArticleWorld journal of microbiology & biotechnology2026
Stage-dependent environmental filtering and microbial community reassembly in a full-scale upflow anaerobic sludge blanket (UASB)-two-stage anoxic/oxic (A/O) landfill leachate treatment system.
Article in World journal of microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Landfill leachate treatment systems experience strong physicochemical fluctuations, yet microbial succession across sequential full-scale treatment compartments remains insufficiently resolved. Here, we investigated a full-scale upflow anaerobic sludge blanket (UASB)-two-stage anoxic/oxic (A/O) landfill leachate treatment system using 16S rRNA gene sequencing, physicochemical profiling, ordination analyses, environmental-driver analysis, null and neutral community models, FastST-based source tracking, and co-occurrence network analysis. Weighted UniFrac-based PERMANOVA showed that both treatment compartment and season were significantly associated with microbial community structure, with treatment compartment explaining 34.21% of the variation and season explaining 29.87%. However, significant multivariate dispersion among compartments (PERMDISP, P = 0.032) indicated that treatment-stage effects should be interpreted cautiously. Taxonomic turnover was pronounced along the treatment continuum, with Methanosaeta enriched in UASB-related samples and nitrogen-cycling taxa such as Nitrospira and Thauera enriched in downstream oxic tanks. Environmental analyses identified pH, total nitrogen, salinity, and C/N ratio as major correlates of community variation. Assembly analyses indicated that stochastic processes contributed substantially across the system, whereas the ANin community showed the weakest neutral-model fit (R
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