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. 2022 Mar 21;7(4):542–555. doi: 10.1038/s41564-022-01072-5

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 3 — (a) Pair-wise FBA analysis assessing flux changes in communities composed of prototrophs and each of 15 auxotrophic subpopulations present in SeMeCos, relying on the exchanging of H, L, U and/or M. (b) Relative frequency of metabolic pathways with altered flux (flux change >10%) in the 15 different auxotrophs when interacting with a prototroph. (c) Pearson correlation between the proportion of metabolic pathways with altered flux (flux change >10%) and the total number of auxotrophies per cell. Error bands indicate the 95% confidence level interval for the predictions from the linear model. (d) Number of secreted metabolites in prototrophic (wild-type) and auxotrophic models in minimal media supplemented with required metabolites using FBA and MOMA simulation approaches³. The MOMA predicts an increase in metabolite excretion in single-metabolite supplemented auxotrophic yeast strain, compared to an FBA analysis.

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