Evidence map›Paper›PMID 39113275›Full record

ArticleFEMS microbiology ecology2024

Single-cell measurement of microbial growth rate with Raman microspectroscopy.

Tristan A Caro, Srishti Kashyap, George Brown, Claudia Chen, Sebastian H Kopf, Alexis S Templeton

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tristan A CaroDepartment of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, United States.ORCID 0000-0001-6177-7444
Srishti KashyapDepartment of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, United States.
George BrownDepartment of Applied Mathematics, University of Colorado Boulder, Boulder, CO 80309, United States.
Claudia ChenDepartment of Applied Mathematics, University of Colorado Boulder, Boulder, CO 80309, United States.
Sebastian H KopfDepartment of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, United States.
Alexis S TempletonDepartment of Geological Sciences, University of Colorado Boulder, Boulder, CO 80309, United States.

Funding

Army Research Office W911NF2120119/78484-LSNASA 80NSSC21K0489National Science Foundation 1955109University of Colorado Boulder
6 · The paper itself

Abstract

Rates of microbial growth are fundamental to understanding environmental geochemistry and ecology. However, measuring the heterogeneity of microbial activity at the single-cell level, especially within complex populations and environmental matrices, remains a forefront challenge. Stable isotope probing (SIP) is a method for assessing microbial growth and involves measuring the incorporation of an isotopic label into microbial biomass. Here, we assess Raman microspectroscopy as a SIP technique, specifically focusing on the measurement of deuterium (2H), a tracer of microbial biomass production. We correlatively measured cells grown in varying concentrations of deuterated water with both Raman spectroscopy and nanoscale secondary ion mass spectrometry (nanoSIMS), generating isotopic calibrations of microbial 2H. Relative to Raman, we find that nanoSIMS measurements of 2H are subject to substantial dilution due to rapid exchange of H during sample washing. We apply our Raman-derived calibration to a numerical model of microbial growth, explicitly parameterizing the factors controlling growth rate quantification and demonstrating that Raman-SIP can sensitively measure the growth of microorganisms with doubling times ranging from hours to years. The measurement of single-cell growth with Raman spectroscopy, a rapid, nondestructive technique, represents an important step toward application of single-cell analysis into complex sample matrices or cellular assemblages.

Indexed as

Single-Cell AnalysisSpectrum Analysis, RamanBacteriaBiomassDeuteriumSpectrometry, Mass, Secondary IonDeuteriumdeuteriumgrowth ratenanoSIMSRaman microspectroscopysingle-cell analysisstable isotope probing

Identifiers

PMID39113275
PMCPMC11347945

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.