Droplet Digital PCR Facilitates the Revelation of Metabolic Interactions Among Key Microorganisms in the Integrated Simultaneous Desulfurization and Denitrification Process

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.

Authors

Institutions

Publication Details

Journal
ACS ES&T Engineering
Published
2025-01-27
DOI
https://doi.org/10.1021/acsestengg.4c00701
Citations
1
Primary Topic
Wastewater Treatment and Nitrogen Removal
Type
article
Field-Weighted Citation Impact
0.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Droplet Digital PCR Facilitates the Revelation of Metabolic Interactions Among Key Microorganisms in the Integrated Simultaneous Desulfurization and Denitrification Process

Suyun Sun, Aijie Wang, Shuang Gao, Yu Tao et al.
1 citations
ACS ES&T Engineering
Wastewater Treatment and Nitrogen Removal
0.50
article

Droplet Digital PCR Facilitates the Revelation of Metabolic Interactions Among Key Microorganisms in the Integrated Simultaneous Desulfurization and Denitrification Process

Suyun Sun, Aijie Wang, Shuang Gao, Yu Tao, Cong Huang, Wei Li, Qian Liu, Jie Chen, Qi Zhou, Sihao Lv, Xiaodong Xin
article en
1 citations

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.

ACS ES&T EngineeringVol. 5(3)
Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Dongguan University of Technology (CN), Biotechnology Research Center (IR), Tianjin Institute of Industrial Biotechnology (CN), Research Center for Eco-Environmental Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 44%
Wastewater Treatment and Nitrogen Removal
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.