Application of bioaugmented dynamic membrane bioreactors for the treatment of phenolic wastewater

The dataset comprehensively includes the experimental data and results from this study: phylogenetic and morphological data from the screening and identification of the high-efficiency degrading strain Pseudomonas sp. y2 from phenol-contaminated soil, as well as optimization data of the strain's degradation performance under varying conditions of temperature, pH, dissolved oxygen, and inoculum size; at the mechanistic level, it provides degradation pathway annotations from whole-genome sequencing analysis (KEGG Ko00362), activity measurements of key enzymes (catechol 2,3-dioxygenase and acetaldehyde dehydrogenase), and qPCR data on the expression levels of key phenol-degradation genes (dmpP and dmpB); in terms of reactor application, it contains the formulation of simulated phenol wastewater, continuous monitoring data over 100 days of operation on the removal efficiencies of phenol, COD, ammonium nitrogen, total nitrogen, and total phosphorus in both the bioaugmented and control DMBRs, along with changes in extracellular polymeric substances (EPS) content; furthermore, the dataset provides microbial community structure analysis based on 16S rRNA gene amplicon sequencing (including Alpha and Beta diversity, composition at phylum and genus levels, species co-occurrence networks) and abundance tracking data of the bioaugmented strain Pseudomonas sp. y2 within the system. This dataset fully presents the complete chain of evidence from functional strain characterization to the construction and evaluation of the bioaugmented system, making it suitable for in-depth research and data reuse in fields such as environmental engineering, microbial ecology, and wastewater biotreatment technology.