A mixed blessing of influent leachate microbes in downstream biotreatment systems of a full-scale landfill leachate treatment plant

• Published in: Water research (Oxford) Vol. 253; p. 121310
• Main Authors: Deng, Chunfang, Chen, Tianyi, Qiu, Zhiguang, Zhou, Hong, Li, Bing, Zhang, Yuanyan, Xu, Xuming, Lian, Chunang, Qiao, Xuejiao, Yu, Ke
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.04.2024
• Subjects: Humans; Influent microbes; Landfill leachate treatment plant; Metagenome; Metagenomic binning; Metatranscriptomic; Microbiota; Nitrogen cycle; Sewage; Water Pollutants, Chemical - analysis; Zixibacteria; Landfill leachate treatment plant; Metagenomic binning; Nitrogen cycle; Zixibacteria; Influent microbes; Metatranscriptomic
• ISSN: 0043-1354; 1879-2448
• DOI: 10.1016/j.watres.2024.121310

•About 30 % of active microbes are shared between the influent and biotreatment units.•Influent microbes improve microbial community stability in biotreatment units.•Influent microbes help promote nitrogen and sulfur removal in biotreatment units.•Microbes from influent leachate serve as a potential source of N2O and H2S. In landfill leachate treatment plants (LLTPs), the microbiome plays a pivotal role in the decomposition of organic compounds, reduction in nutrient levels, and elimination of toxins. However, the effects of microbes in landfill leachate influents on downstream treatment systems remain poorly understood. To address this knowledge gap, we collected 23 metagenomic and 12 metatranscriptomic samples from landfill leachate and activated sludge from various treatment units in a full-scale LLTP. We successfully recovered 1,152 non-redundant metagenome-assembled genomes (MAGs), encompassing a wide taxonomic range, including 48 phyla, 95 classes, 166 orders, 247 families, 238 genera, and 1,152 species. More diverse microbes were observed in the influent leachate than in the downstream biotreatment systems, among which, an unprecedented ∼30 % of microbes with transcriptional expression migrated from the influent to the biological treatment units. Network analysis revealed that 399 shared MAGs across the four units exhibited high node centrality and degree, thus supporting enhanced interactions and increased stability of microbial communities. Functional reconstruction and genome characterization of MAGs indicated that these shared MAGs possessed greater capabilities for carbon, nitrogen, sulfur, and arsenic metabolism compared to non-shared MAGs. We further identified a novel species of Zixibacteria in the leachate influent with discrete lineages from those in other environments that accounted for up to 17 % of the abundance of the shared microbial community and exhibited notable metabolic versatility. Meanwhile, we presented groundbreaking evidence of the involvement of Zixibacteria-encoded genes in the production of harmful gas emissions, such as N2O and H2S, at the transcriptional level, thus suggesting that influent microbes may pose safety risks to downstream treatment systems. In summary, this study revealed the complex impact of the influent microbiome on LLTP and emphasizes the need to consider these microbial characteristics when designing treatment technologies and strategies for landfill leachate management. [Display omitted]