<i>In situ</i> Raman spectroscopic relative quantitative analysis of sulfur metabolic dynamics in deep-sea microorganisms

Deciphering dynamic regulation of microbial sulfur metabolism in deep-sea environments is critical for understanding global biogeochemical cycles and climate feedback mechanisms. Current analytical approaches face limitations in achieving quantitative, <i>in situ</i> visualization of microbial metabolic processes, including susceptibility to environmental interference during sampling and analysis, leading to impaired data accuracy. This study developed an innovative method based on confocal Raman spectroscopy utilizing nitrogen as an internal standard for metabolite quantification. Taking sulfate, which is a major component of seawater and essential for the sulfur cycle, as a model, we quantified it in solid medium and monitored the <i>in situ</i> metabolic processes of deep-sea <i>Erythrobacter flavus</i> 21-3. The non-invasive technique revealed previously unrecognized light-dependent differences in microbial metabolic patterns between deep-sea and laboratory conditions through spectral visualization and relative quantification. We found that natural light exposure promoted sulfate production and enhanced zero-valent sulfur (cyclooctasulfur S<sub>8</sub>) accumulation near the surface, accompanied by co-enrichment of carotenoids, suggesting the presence of light-driven sulfur metabolic processes. In contrast, dark conditions favored S<sub>8</sub> storage in the subsurface layers, potentially supported by abundant internal organic carbon sources as energy reserves. These findings may provide new insights into photo-regulated sulfur transformation mechanisms. Our approach establishes an analytical framework for <i>in situ</i> quantitative investigation of microbially mediated elemental cycling processes.IMPORTANCEMicrobial sulfur metabolism in the deep ocean is critical to global biogeochemical cycles, yet its regulatory mechanisms remain poorly understood, largely due to methodological limitations. In this study, we introduce an innovative non-invasive, quantitative approach using confocal Raman spectroscopy with molecular nitrogen (N<sub>2</sub>) as an internal standard, overcoming major obstacles in real-time metabolic monitoring. Our results demonstrate light-dependent adaptations in sulfur metabolism among deep-sea bacteria, unveiling previously unrecognized photo-regulated sulfur transformations that refine our understanding of microbial ecological strategies in these environments. The established analytical framework provides a versatile platform for <i>in situ</i> investigation of microbial-driven elemental cycling across diverse extreme ecosystems.

Authors

Institutions

Publication Details

Journal
Microbiology Spectrum
Published
2025-09-25
DOI
https://doi.org/10.1128/spectrum.02059-25
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In situ Raman spectroscopic relative quantitative analysis of sulfur metabolic dynamics in deep-sea microorganisms

Xin Zhang, Ruining Cai, Lianfu Li, Jintao Zhuo et al.
Microbiology Spectrum
Microbial Community Ecology and Physiology
article

In situ Raman spectroscopic relative quantitative analysis of sulfur metabolic dynamics in deep-sea microorganisms

Xin Zhang, Ruining Cai, Lianfu Li, Jintao Zhuo, Zengfeng Du, Zhendong Luan, Xiaoxiao Guo, Yitong Zhang, Chaomin Sun, Wanying He, Shichuan Xi
article en

Abstract

Deciphering dynamic regulation of microbial sulfur metabolism in deep-sea environments is critical for understanding global biogeochemical cycles and climate feedback mechanisms. Current analytical approaches face limitations in achieving quantitative, <i>in situ</i> visualization of microbial metabolic processes, including susceptibility to environmental interference during sampling and analysis, leading to impaired data accuracy. This study developed an innovative method based on confocal Raman spectroscopy utilizing nitrogen as an internal standard for metabolite quantification. Taking sulfate, which is a major component of seawater and essential for the sulfur cycle, as a model, we quantified it in solid medium and monitored the <i>in situ</i> metabolic processes of deep-sea <i>Erythrobacter flavus</i> 21-3. The non-invasive technique revealed previously unrecognized light-dependent differences in microbial metabolic patterns between deep-sea and laboratory conditions through spectral visualization and relative quantification. We found that natural light exposure promoted sulfate production and enhanced zero-valent sulfur (cyclooctasulfur S<sub>8</sub>) accumulation near the surface, accompanied by co-enrichment of carotenoids, suggesting the presence of light-driven sulfur metabolic processes. In contrast, dark conditions favored S<sub>8</sub> storage in the subsurface layers, potentially supported by abundant internal organic carbon sources as energy reserves. These findings may provide new insights into photo-regulated sulfur transformation mechanisms. Our approach establishes an analytical framework for <i>in situ</i> quantitative investigation of microbially mediated elemental cycling processes.IMPORTANCEMicrobial sulfur metabolism in the deep ocean is critical to global biogeochemical cycles, yet its regulatory mechanisms remain poorly understood, largely due to methodological limitations. In this study, we introduce an innovative non-invasive, quantitative approach using confocal Raman spectroscopy with molecular nitrogen (N<sub>2</sub>) as an internal standard, overcoming major obstacles in real-time metabolic monitoring. Our results demonstrate light-dependent adaptations in sulfur metabolism among deep-sea bacteria, unveiling previously unrecognized photo-regulated sulfur transformations that refine our understanding of microbial ecological strategies in these environments. The established analytical framework provides a versatile platform for <i>in situ</i> investigation of microbial-driven elemental cycling across diverse extreme ecosystems.

Microbiology SpectrumVol. 13(11)
Chinese Academy of Sciences (CN), Institute of Oceanology (CN), South China Sea Institute Of Oceanology (CN), University of Chinese Academy of Sciences (CN), Laoshan Laboratory
Openalex Percentile: Top 75%
Microbial Community Ecology and Physiology
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.