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...

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Autores principales:	Hannah Laeverenz Schlogelhofer, François J Peaudecerf, Freddy Bunbury, Martin J Whitehouse, Rachel A Foster, Alison G Smith, Ottavio A Croze
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d801c2b46a1e4426aa1d3872831cd865
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spelling	oai:doaj.org-article:d801c2b46a1e4426aa1d3872831cd8652021-11-25T06:19:06ZCombining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.1932-620310.1371/journal.pone.0251643https://doaj.org/article/d801c2b46a1e4426aa1d3872831cd8652021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251643https://doaj.org/toc/1932-6203Microbial 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.Hannah Laeverenz SchlogelhoferFrançois J PeaudecerfFreddy BunburyMartin J WhitehouseRachel A FosterAlison G SmithOttavio A CrozePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251643 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hannah Laeverenz Schlogelhofer François J Peaudecerf Freddy Bunbury Martin J Whitehouse Rachel A Foster Alison G Smith Ottavio A Croze Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.
description	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.
format	article
author	Hannah Laeverenz Schlogelhofer François J Peaudecerf Freddy Bunbury Martin J Whitehouse Rachel A Foster Alison G Smith Ottavio A Croze
author_facet	Hannah Laeverenz Schlogelhofer François J Peaudecerf Freddy Bunbury Martin J Whitehouse Rachel A Foster Alison G Smith Ottavio A Croze
author_sort	Hannah Laeverenz Schlogelhofer
title	Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.
title_short	Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.
title_full	Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.
title_fullStr	Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.
title_full_unstemmed	Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.
title_sort	combining sims and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/d801c2b46a1e4426aa1d3872831cd865
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Combining SIMS and mechanistic modelling to reveal nutrient kinetics in an algal-bacterial mutualism.

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