ArticleEnvironmental microbiology2015
Heavy water and (15) N labelling with NanoSIMS analysis reveals growth rate-dependent metabolic heterogeneity in chemostats.
Article in Environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Heterotrophic inorganic carbon fixation varies with temperature and resource availability in marine and soil bacterial isolates.Applied and environmental microbiology · 2026Article
- Restoration of deuterium marker for multi-isotope mapping of cellular metabolic activity.Scientific reports · 2026Article
- Comparing Raman and NanoSIMS for heavy water labeling of single cells.Microbiology spectrum · 2025Article
- Soil fungi remain active and invest in storage compounds during drought independent of future climate conditions.Nature communications · 2024Article
- Single-cell measurement of microbial growth rate with Raman microspectroscopy.FEMS microbiology ecology · 2024Article
- Single-cell analysis reveals an active and heterotrophic microbiome in the Guaymas Basin deep subsurface with significant inorganic carbon fixation by heterotrophs.Applied and environmental microbiology · 2024Article
- Survival and rapid resuscitation permit limited productivity in desert microbial communities.Nature communications · 2024Article
- Constraining activity and growth substrate of fungal decomposers via assimilation patterns of inorganic carbon and water into lipid biomarkers.Applied and environmental microbiology · 2024Article
- Single-Molecule Fluorescent In Situ Hybridization (smFISH) for RNA Detection in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Trophic interactions shape the spatial organization of medium-chain carboxylic acid producing granular biofilm communities.The ISME journal · 2023Article
- Probing Single-Cell Fermentation Fluxes and Exchange Networks via pH-Sensing Hybrid Nanofibers.ACS nano · 2023Article
- Effective bet-hedging through growth rate dependent stability.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Single-cell stable isotope probing in microbial ecology.ISME communications · 2022Review
- Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells.Communications biology · 2022Article
- Microfluidic Single-Cell Analytics.Advances in biochemical engineering/biotechnology · 2022Article
- Research Progress in the Medical Application of Heavy Water, Especially in the Field of DInternational journal of medical sciences · 2022Review
- NanoSIP: NanoSIMS Applications for Microbial Biology.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution.Science (New York, N.Y.) · 2021Article
- Evidence of a Streamlined Extracellular Electron Transfer Pathway from Biofilm Structure, Metabolic Stratification, and Long-Range Electron Transfer Parameters.Applied and environmental microbiology · 2021Article
- Microbial metabolic noise.WIREs mechanisms of disease · 2021Review
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Authors and funding
6 authors.
Funding
Abstract
To measure single-cell microbial activity and substrate utilization patterns in environmental systems, we employ a new technique using stable isotope labelling of microbial populations with heavy water (a passive tracer) and (15) N ammonium in combination with multi-isotope imaging mass spectrometry. We demonstrate simultaneous NanoSIMS analysis of hydrogen, carbon and nitrogen at high spatial and mass resolution, and report calibration data linking single-cell isotopic compositions to the corresponding bulk isotopic equivalents for Pseudomonas aeruginosa and Staphylococcus aureus. Our results show that heavy water is capable of quantifying in situ single-cell microbial activities ranging from generational time scales of minutes to years, with only light isotopic incorporation (∼0.1 atom % (2) H). Applying this approach to study the rates of fatty acid biosynthesis by single cells of S. aureus growing at different rates in chemostat culture (∼6 h, 1 day and 2 week generation times), we observe the greatest anabolic activity diversity in the slowest growing populations. By using heavy water to constrain cellular growth activity, we can further infer the relative contributions of ammonium versus amino acid assimilation to the cellular nitrogen pool. The approach described here can be applied to disentangle individual cell activities even in nutritionally complex environments.
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