Single cell profiling framework reveals metabolic subpopulations as drivers of bioproduction heterogeneity

Heterogeneity within clonal cell populations remains a critical bottleneck within bioprocess engineering, notably by undermining bioproduction yields. Efforts to mitigate its impact have, however, been hampered by technological difficulties quantifying metabolism at the single-cell level. Here, we propose a framework based on single-cell biosensor analysis that enables robust characterisation of cell's metabolic states, leveraging it to detect and isolate isogeneic heterogeneity in response to environmental perturbations and within microbial cell factories. We identify acute and gradual glucose depletion to induce differentiation of metabolically distinct subpopulations and reveal these subpopulations to exhibit differential production capabilities, with lower intracellular pH subpopulations exhibiting enhanced product accumulation within violacein-producing strains but reduced yields within lycopene-producing strains. Lastly, we highlight galactose cultivation as a method to modulate subpopulation dynamics towards higher-producing lycopene phenotypes. Altogether, our research provides insights into subpopulation differentiation and establishes promising avenues for the engineering of more robust and higher-producing strains.

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Journal
Nature Communications
Published
2025-12-21
DOI
https://doi.org/10.1038/s41467-025-67408-x
Primary Topic
Viral Infectious Diseases and Gene Expression in Insects
Type
article
Field-Weighted Citation Impact
0.00

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Single cell profiling framework reveals metabolic subpopulations as drivers of bioproduction heterogeneity

Cinzia Klemm, Kiyan Shabestary, Piotr Hapeta, Juline Savigny et al.
Nature Communications
Viral Infectious Diseases and Gene Expression in Insects
article

Single cell profiling framework reveals metabolic subpopulations as drivers of bioproduction heterogeneity

Cinzia Klemm, Kiyan Shabestary, Piotr Hapeta, Juline Savigny, Mariana Portela, Christopher J. Rowlands, Marko Storch, Rodrigo Ledesma-Amaro, Yvette Sum
article en

Abstract

Heterogeneity within clonal cell populations remains a critical bottleneck within bioprocess engineering, notably by undermining bioproduction yields. Efforts to mitigate its impact have, however, been hampered by technological difficulties quantifying metabolism at the single-cell level. Here, we propose a framework based on single-cell biosensor analysis that enables robust characterisation of cell's metabolic states, leveraging it to detect and isolate isogeneic heterogeneity in response to environmental perturbations and within microbial cell factories. We identify acute and gradual glucose depletion to induce differentiation of metabolically distinct subpopulations and reveal these subpopulations to exhibit differential production capabilities, with lower intracellular pH subpopulations exhibiting enhanced product accumulation within violacein-producing strains but reduced yields within lycopene-producing strains. Lastly, we highlight galactose cultivation as a method to modulate subpopulation dynamics towards higher-producing lycopene phenotypes. Altogether, our research provides insights into subpopulation differentiation and establishes promising avenues for the engineering of more robust and higher-producing strains.

Nature CommunicationsVol. 17(1)
London Biofoundry (GB), Imperial College London (GB)
European Commission
Openalex Percentile: Top 37%
Viral Infectious Diseases and Gene Expression in Insects
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Single cell profiling framework reveals metabolic subpopulations as drivers of bioproduction heterogeneity — Cinzia Klemm, Kiyan Shabestary, et al. · Nature Communications (2025) | TGRS Research Map | TGRS