Using Stable Isotope Probing and Raman Microspectroscopy to measure growth rates of heterotrophic bacteria

The suitability of stable isotope probing (SIP) and Raman microspectroscopy to measure growth rates of heterotrophic bacteria at the single-cell level was evaluated. Label assimilation into E. coli biomass during growth on a complex 13 C-labeled carbon source was monitored in time course experiments. 13 C-incorporation into various biomolecules was measured by spectral “red shifts” of Raman-scattered emissions. The 13 C- and 12 C-isotopologues of the amino acid phenylalanine (Phe) proved to be a quantitatively accurate reporter molecules of cellular isotopic fractional abundances ( f cell ). Values of f cell determined by Raman microspectroscopy and independently by isotope-ratio mass spectrometry (IRMS) over a range of isotopic enrichments were statistically indistinguishable. Progressive labeling of Phe in E. coli cells among a range of 13 C/ 12 C organic substrate admixtures occurred predictably through time. Relative isotopologue abundances of Phe determined by Raman spectral analysis enabled accurate calculation of bacterial growth rates as confirmed independently by optical density (OD) measurements. Results demonstrate that combining stable isotope probing (SIP) and Raman microspectroscopy can be a powerful tool for studying bacterial growth at the single-cell level when grown on defined or complex organic 13 C-carbon sources even in mixed microbial assemblages. Importance: Population growth dynamics and individual cell growth rates are the ultimate expressions of a microorganism’s fitness to its environmental conditions, whether natural or engineered. Natural habitats and many industrial settings harbor complex microbial assemblages. Their heterogeneity in growth responses to existing and changing conditions is often difficult to grasp by standard methodologies. In this proof of concept study, we tested whether Raman microspectroscopy can reliably quantify assimilation of isotopically-labeled nutrients into E. coli cells and enable determination of individual growth rates among heterotrophic bacteria. Raman-derived growth rate estimates were statistically indistinguishable from those derived by standard optical density measurements of the same cultures. Raman microspectroscopy also can be combined with methods for phylogenetic identification. We report development of Raman-based techniques that enable researchers to directly link genetic identity to functional traits and rate measurements of single cells within mixed microbial assemblages, currently a major technical challenge in microbiological research.