Evidence map›Paper›PMID 42687167›Full record

ArticleMicrobial cell factories2026

Characterisation of metabolic burden in Pseudomonas putida reveals precursor limitation in heterologous lycopene production.

Carina Meiners, Lucas Hermann, Mishela Stoja, Andreas Kremling, Katharina Pflüger-Grau

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Article in Microbial cell factories, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Carina MeinersTechnical University of Munich, Boltzmannstraße 15, 85748, Garching, Germany.
Lucas HermannTechnical University of Munich, Boltzmannstraße 15, 85748, Garching, Germany.
Mishela StojaTechnical University of Munich, Boltzmannstraße 15, 85748, Garching, Germany.
Andreas KremlingTechnical University of Munich, Boltzmannstraße 15, 85748, Garching, Germany.
Katharina Pflüger-GrauTechnical University of Munich, Boltzmannstraße 15, 85748, Garching, Germany. k.pflueger-grau@tum.de.ORCID https://orcid.org/0000-0002-8334-353X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe introduction of heterologous pathways into microbial hosts often imposes a metabolic burden on the cell, arising from three major physiological constraint layers: competition for gene expression resources, limited precursor availability and flux distribution, and insufficient energy and redox supply. Although Pseudomonas putida KT2440 is considered a robust and metabolically versatile production host, it remains unclear which of these constraint layers primarily limits heterologous terpenoid production in this organism. Here, lycopene biosynthesis was used as a model system to systematically dissect these three potential sources of metabolic burden.

resultsA capacity-monitoring system revealed no clear reduction in transcriptional or translational capacity across the tested strains and cultivation conditions, indicating that general gene expression capacity was not the primary limiting factor. Instead, lycopene production depended strongly on promoter architecture and plasmid backbone, showing that regulatory design shaped pathway performance. Enhancing precursor supply by introducing a heterologous mevalonate (MVA) pathway substantially increased product titres, identifying precursor availability from the native MEP pathway as the dominant bottleneck. This conclusion was independently supported by exogenous mevalonate supplementation, which further increased lycopene accumulation but also revealed saturation at higher concentrations, suggesting that downstream pathway balance or enzyme capacity became limiting once precursor supply was relieved. Under controlled bioreactor conditions, lycopene titres increased from approximately 1 mg/L to nearly 25 mg/L, indicating that process conditions further modulate production performance, suggesting an additional contribution of process-dependent energy and redox constraints.

conclusionMetabolic burden during heterologous lycopene production in P. putida is governed primarily by precursor availability rather than by limitations in general gene expression capacity. Regulatory properties of the vector system strongly influence pathway performance, while controlled cultivation conditions can further improve production by alleviating additional process-dependent constraints. Together, these findings provide a systematic framework for distinguishing constraint layers and guiding the optimisation of heterologous terpenoid production systems.

Indexed as

LycopenePseudomonas putidaBioreactorsCarotenoidsMetabolic EngineeringMevalonic AcidPlasmidsPromoter Regions, GeneticCarotenoidsLycopeneMevalonic AcidLycopeneMetabolic burdenMevalonate pathwayPrecursor limitationPseudomonas putidaTerpenoid

Identifiers

PMID42687167
PMCPMC13540941

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.