Abstract
Perturbations such as dietary shifts and drug treatment can reduce gut microbiome diversity, with negative consequences for host health, yet predicting diversity responses remains challenging because microbial species interact through multiple mechanisms. While nutrient competition and cross-feeding both influence microbiota assembly, environmental stresses such as antibiotics are typically studied experimentally in monoculture, and most theoretical frameworks consider nutrient competition alone. To investigate how these processes jointly shape community structure, we develop a consumer-resource model that incorporates nutrient competition, growth-inhibiting stress, and metabolite cross-feeding with a unified framework spanning varied cross-feeding architectures. For three-species communities, coexistence during narrow-spectrum growth inhibition is maximized by cyclic cross-feeding networks, whereas fully connected cross-feeding networks maximize coexistence during broad-spectrum growth inhibition. However, the benefits of cyclic cross-feeding depend strongly on community size and stress targeting: in communities with more than six species and six resources, cyclic networks can destabilize coexistence. These results are robust to inefficient leakage, dead-end metabolites, and embedding in larger communities, and large communities generalize to random leakage architectures in which connectivity determines the response to stress. Together, this framework shows that cross-feeding network architecture can fundamentally reshape how microbial communities respond to growth-inhibiting stresses.
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Acknowledgements
We thank members of the Huang lab for helpful discussions. This work was funded by a Stanford Bioengineering Summer REU fellowship (to D.P.N.), NSF GRFP DGE 2140743 (to D.P.N.), a Stanford School of Medicine Dean’s Postdoctoral Fellowship (to P.H.), NIH Postdoctoral Fellowship F32 GM143859 (to P.H.), NSF Award EF-2125383 (to K.C.H.), and NIH Awards R01 AI147023, RM1 GM135102, and DP1 DK147449 (to K.C.H.). K.C.H. is a Chan Zuckerberg Biohub Investigator.
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Newton, D.P., Ho, PY. & Huang, K.C. The network structure of cross-feeding impacts microbial community diversity under growth-inhibiting stresses.
Nat Commun (2026). https://doi.org/10.1038/s41467-026-71097-5
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DOI: https://doi.org/10.1038/s41467-026-71097-5
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