Droplet Digital PCR Facilitates the Revelation of Metabolic Interactions Among Key Microorganisms in the Integrated Simultaneous Desulfurization and Denitrification Process
Qian Liu, Qi Zhou, Jie Chen, Shuang Gao, Suyun Sun, Yu Tao, Xiaodong Xin, Wei Li, Sihao Lv, Ai-jie Wang and Cong Huang*,
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引用次数: 0
Abstract
The integrated simultaneous desulfurization and denitrification (ISDD) process offers a viable solution for coremoval of sulfate and nitrate while recovering elemental sulfur. However, the metabolic interactions among the functional microorganisms involved in the bioconversion of carbon, nitrogen, and sulfur in this process remain poorly understood. In this study, a quantitative framework was established to measure the absolute abundances of individual bacterial and archaeal taxa by integrating the precision of droplet digital PCR with the high-throughput 16S rRNA gene amplicon sequencing. Quantitative measurements of absolute abundances identified the dominant species as COD/sulfate ratio varied from 1 to 3 and then back to 1. As the COD/sulfate ratio increased from 1 to 3, sulfate removal efficiency improved from 57.67% to 94.69%, accompanied by increased hydrogen and methane production. Desulfobulbus exhibited a competitive advantage in facilitating metabolite transfer and enhancing methane production efficiency. Furthermore, higher influent COD upregulated apr, omcS, and nirK genes, while downregulating the sqr gene. Five pairs of electron-shuttling systems among Methanobacterium, Methanosaeta, Anaerolineaceae, Desulfobulbus and Sulfurovum were explained through structural equation modeling (SEM). These findings offer valuable insights into microbial interactions that could enhance ISDD system performance.
期刊介绍:
ACS ES&T Engineering publishes impactful research and review articles across all realms of environmental technology and engineering, employing a rigorous peer-review process. As a specialized journal, it aims to provide an international platform for research and innovation, inviting contributions on materials technologies, processes, data analytics, and engineering systems that can effectively manage, protect, and remediate air, water, and soil quality, as well as treat wastes and recover resources.
The journal encourages research that supports informed decision-making within complex engineered systems and is grounded in mechanistic science and analytics, describing intricate environmental engineering systems. It considers papers presenting novel advancements, spanning from laboratory discovery to field-based application. However, case or demonstration studies lacking significant scientific advancements and technological innovations are not within its scope.
Contributions containing experimental and/or theoretical methods, rooted in engineering principles and integrated with knowledge from other disciplines, are welcomed.