CAS Key Laboratory of Urban Pollutant Conversion, Department of Environmental Science and Engineering, University of Science and Technology of China, Hefei 230026, China; Anhui Province Key Laboratory of Industrial Wastewater and Environmental Treatment, Hefei 230026, China.
School of Resources & Environmental Engineering, Hefei University of Technology, Hefei 230009, China.
Water Res. 2023 Sep 1;243:120330. doi: 10.1016/j.watres.2023.120330. Epub 2023 Jul 12.
The limited information on microbial interactions and metabolic patterns in denitrification systems, especially those fed with different carbon sources, has hindered the establishment of ecological linkages between microscale connections and macroscopic reactor performance. In this work, denitrification performance, metabolic patterns, and ecological structure were investigated in parallel well-controlled bioreactors with four representative carbon sources, i.e., methanol, glycerol, acetate, and glucose. After long-term acclimation, significant differences were observed among the four bioreactors in terms of denitrification rates, organic utilization, and heterotrophic bacterial yields. Different carbon sources induced the succession of denitrifying microbiota toward different ecological structures and exhibited distinct metabolic patterns. Methanol-fed reactors showed distinctive microbial carbon utilization pathways and a more intricate microbial interaction network, leading to significant variations in organic utilization and metabolite production compared to other carbon sources. Three keystone taxa belonging to the Verrucomicrobiota phylum, SJA-15 order and the Kineosphaera genus appeared as network hubs in the methanol, glycerol, and acetate-fed systems, playing essential roles in their ecological functions. Several highly connected species were also identified within the glucose-fed system. The close relationship between microbial metabolites, ecological structures, and system performances suggests that this complex network relationship may greatly contribute to the efficient operation of bioreactors.
在反硝化系统中，特别是在使用不同碳源的反硝化系统中，微生物相互作用和代谢模式的信息有限，这阻碍了微观联系和宏观反应器性能之间的生态联系的确立。在这项工作中，使用甲醇、甘油、乙酸和葡萄糖这四种代表性碳源，在四个平行的严格控制的生物反应器中同时研究了反硝化性能、代谢模式和生态结构。经过长期驯化，四个生物反应器在反硝化速率、有机物利用和异养细菌产率方面表现出显著差异。不同的碳源诱导反硝化菌群向不同的生态结构演替，并表现出不同的代谢模式。甲醇进料的反应器表现出独特的微生物碳利用途径和更复杂的微生物相互作用网络，与其他碳源相比，有机物利用和代谢产物的产生有显著差异。属于疣微菌门（Verrucomicrobiota）、SJA-15 目和 Kineosphaera 属的三个关键分类群在甲醇、甘油和乙酸进料系统中作为网络枢纽出现，在其生态功能中起着重要作用。在葡萄糖进料系统中也鉴定出了几个高度连接的物种。微生物代谢物、生态结构和系统性能之间的密切关系表明，这种复杂的网络关系可能对生物反应器的有效运行有很大贡献。
