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

• Main Authors: Laeverenz Schlogelhofer, Hannah, Peaudecerf, François J., Bunbury, Freddy, Whitehouse, Martin J., Foster, Rachel A., Smith, Alison G., Croze, Ottavio A.
• Format: Text
• Language: unknown
• Published: Apollo - University of Cambridge Repository 2021
• Subjects: Research Article; Biology and life sciences; Physical sciences; FOS Physical sciences; Research and analysis methods; Iceland
• Online Access: https://dx.doi.org/10.17863/cam.70212; https://www.repository.cam.ac.uk/handle/1810/322756

Funder: Raymond and Beverly Sackler Scholarship : Funder: Mines ParisTech : Funder: Swedish Museum of Natural History : Funder: University of Iceland : Funder: Consortium of Danish geoscience institutions : 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 B12-dependent mutant of the alga Chlamydomonas reinhardtii and the B12-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.