DSMG-Chip: A High-Throughput Degenerate qPCR Chip for Profiling Microbial DMSP and Related Organic Sulfur Metabolic Genes in Diverse Environments

The organosulfur cycle involves active microbial transformations of dimethylsulfoniopropionate (DMSP) to yield the climate active gas dimethyl sulfide (DMS) and other compounds. The lack of rapid and accurate methods to quantify the DMSP metabolic potential hinders a deeper understanding of this cycling. We developed a high-throughput qPCR (HT-qPCR) chip, DSMG-chip, to quantify the absolute abundance of DMSP and related organic sulfur metabolic genes. DSMG-chip contains 42 degenerate primer sets targeting 27 organosulfur metabolic genes, with the 16S rRNA gene as a reference, allowing for the detection of 41 environmental samples simultaneously. <i>In silico</i> analysis indicated that the DSMG-chip possesses broad taxonomic coverage (1.4-91.3%, spanning 12 phyla and 275 genera) and high specificity (44.4-100%, mean: 85.34%). Validation experiments using conventional PCR, qPCR, and HT-qPCR confirmed the primers' strict specificity, robust amplification efficiency (0.677 to 0.997, mean: 0.771), and excellent accuracy, correlating well with conventional qPCR (Pearson's <i>r</i> = 0.914). Finally, application of the DSMG-chip accurately reflected variations in DMSP metabolism across diverse seawater and sediment samples, highlighting the active microbial DMSP cycling in Pacific Ocean (section P) seawater and the contribution of the methanethiol (MeSH) methylation pathway (via <i>mddA</i>) in sediments. Our findings provide a powerful, novel tool for studying the organosulfur cycle.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-11-03
DOI
https://doi.org/10.1021/acs.est.5c10820
Citations
1
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
1.30
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DSMG-Chip: A High-Throughput Degenerate qPCR Chip for Profiling Microbial DMSP and Related Organic Sulfur Metabolic Genes in Diverse Environments

Dong Liu, Jonathan D. Todd, Gary Rowley, Xiao‐Hua Zhang et al.
1 citations
Environmental Science & Technology
Atmospheric chemistry and aerosols
1.30
article

DSMG-Chip: A High-Throughput Degenerate qPCR Chip for Profiling Microbial DMSP and Related Organic Sulfur Metabolic Genes in Diverse Environments

Dong Liu, Jonathan D. Todd, Gary Rowley, Xiao‐Hua Zhang, Yunhui Zhang, Hai Yun Shi, Zihua Guo
article en
1 citations

Abstract

The organosulfur cycle involves active microbial transformations of dimethylsulfoniopropionate (DMSP) to yield the climate active gas dimethyl sulfide (DMS) and other compounds. The lack of rapid and accurate methods to quantify the DMSP metabolic potential hinders a deeper understanding of this cycling. We developed a high-throughput qPCR (HT-qPCR) chip, DSMG-chip, to quantify the absolute abundance of DMSP and related organic sulfur metabolic genes. DSMG-chip contains 42 degenerate primer sets targeting 27 organosulfur metabolic genes, with the 16S rRNA gene as a reference, allowing for the detection of 41 environmental samples simultaneously. <i>In silico</i> analysis indicated that the DSMG-chip possesses broad taxonomic coverage (1.4-91.3%, spanning 12 phyla and 275 genera) and high specificity (44.4-100%, mean: 85.34%). Validation experiments using conventional PCR, qPCR, and HT-qPCR confirmed the primers' strict specificity, robust amplification efficiency (0.677 to 0.997, mean: 0.771), and excellent accuracy, correlating well with conventional qPCR (Pearson's <i>r</i> = 0.914). Finally, application of the DSMG-chip accurately reflected variations in DMSP metabolism across diverse seawater and sediment samples, highlighting the active microbial DMSP cycling in Pacific Ocean (section P) seawater and the contribution of the methanethiol (MeSH) methylation pathway (via <i>mddA</i>) in sediments. Our findings provide a powerful, novel tool for studying the organosulfur cycle.

Environmental Science & TechnologyVol. 59(45)
University of East Anglia (GB), Norwich Research Park (GB), Qingdao National Laboratory for Marine Science and Technology (CN), Institut de Biologia Evolutiva (ES), Marine Ecology Research Institute (JP), Ocean University of China (CN)
Openalex Percentile: Top 16%
Atmospheric chemistry and aerosols
1.30
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