» Articles » PMID: 39113275

Single-cell Measurement of Microbial Growth Rate with Raman Microspectroscopy

Overview
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Lighting the Path: Raman Spectroscopy's Journey Through the Microbial Maze.

Salbreiter M, Frempong S, Even S, Wagenhaus A, Girnus S, Rosch P Molecules. 2025; 29(24).

PMID: 39770046 PMC: 11870064. DOI: 10.3390/molecules29245956.

References
1.
Pernice M, Dunn S, Tonk L, Dove S, Domart-Coulon I, Hoppe P . A nanoscale secondary ion mass spectrometry study of dinoflagellate functional diversity in reef-building corals. Environ Microbiol. 2014; 17(10):3570-80. DOI: 10.1111/1462-2920.12518. View

2.
Berry D, Mader E, Lee T, Woebken D, Wang Y, Zhu D . Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells. Proc Natl Acad Sci U S A. 2015; 112(2):E194-203. PMC: 4299247. DOI: 10.1073/pnas.1420406112. View

3.
Wang K, Chen L, Ma X, Ma L, Chou K, Cao Y . Identification and Species Determination Using Raman Spectroscopy Combined with Neural Networks. Appl Environ Microbiol. 2020; 86(20). PMC: 7531966. DOI: 10.1128/AEM.00924-20. View

4.
Wijker R, Sessions A, Fuhrer T, Phan M . H/H variation in microbial lipids is controlled by NADPH metabolism. Proc Natl Acad Sci U S A. 2019; 116(25):12173-12182. PMC: 6589753. DOI: 10.1073/pnas.1818372116. View

5.
Dekas A, Parada A, Mayali X, Fuhrman J, Wollard J, Weber P . Characterizing Chemoautotrophy and Heterotrophy in Marine Archaea and Bacteria With Single-Cell Multi-isotope NanoSIP. Front Microbiol. 2020; 10:2682. PMC: 6927911. DOI: 10.3389/fmicb.2019.02682. View