Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism

Microbial communities are of considerable significance for biogeochemical processes, for the health of both animals and plants, and for biotechnological purposes. A key feature of microbial interactions is the exchange of nutrients between cells. Isotope labelling followed by analysis with secondary ion mass spectrometry (SIMS) can identify nutrient fluxes and heterogeneity of substrate utilisation on a single cell level. Here we present a novel approach that combines SIMS experiments with mechanistic modelling to reveal otherwise inaccessible nutrient kinetics. The method is applied to study the onset of a synthetic mutualistic partnership between a vitamin B-12-dependent mutant of the alga Chlamydomonas reinhardtii and the B-12-producing, heterotrophic bacterium Mesorhizobium japonicum, which is supported by algal photosynthesis. Results suggest that an initial pool of fixed carbon delays the onset of mutualistic cross-feeding; significantly, our approach allows the first quantification of this expected delay. Our method is widely applicable to other microbial systems, and will contribute to furthering a mechanistic understanding of microbial interactions.

Automated summary

Microbial communities play a significant role in biogeochemical processes, animal and plant health, and biotechnological purposes. Isotope labelling combined with SIMS analysis can identify nutrient fluxes and substrate utilisation heterogeneity on a single cell level. By combining SIMS experiments with mechanistic modelling, this study reveals otherwise inaccessible nutrient kinetics in microbial interactions, contributing to a better understanding of these dynamics.