Evidence map›Paper›PMID 39747041›Full record

ArticleNature communications2025

Design principles for engineering bacteria to maximise chemical production from batch cultures.

Ahmad A Mannan, Alexander P S Darlington, Reiko J Tanaka, Declan G Bates

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ahmad A Mannan *Department of Bioengineering, Imperial College London, London, UK.
Alexander P S Darlington *Warwick Integrative Synthetic Biology Centre, School of Engineering, University of Warwick, Coventry, UK. a.darlington.1@warwick.ac.uk.ORCID 0000-0001-8025-6329
Reiko J TanakaDepartment of Bioengineering, Imperial College London, London, UK.ORCID 0000-0002-0769-9382
Declan G BatesWarwick Integrative Synthetic Biology Centre, School of Engineering, University of Warwick, Coventry, UK. d.bates@warwick.ac.uk.

Funding

Innovate UK SKINDEV 'Skin microbial devices, 101098826RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/M017982/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/Y007603/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/X039587/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/Y00342X/1Royal Academy of Engineering RF/202021/20/270
6 · The paper itself

Abstract

Bacteria can be engineered to manufacture chemicals, but it is unclear how to optimally engineer a single cell to maximise production performance from batch cultures. Moreover, the performance of engineered production pathways is affected by competition for the host's native resources. Here, using a 'host-aware' computational framework which captures competition for both metabolic and gene expression resources, we uncover design principles for engineering the expression of host and production enzymes at the cell level which maximise volumetric productivity and yield from batch cultures. However, this does not break the fundamental growth-synthesis trade-off which limits production performance. We show that engineering genetic circuits to switch cells to a high synthesis-low growth state after first growing to a large population can further improve performance. By analysing different circuit topologies, we show that highest performance is achieved by circuits that inhibit host metabolism to redirect it to product synthesis. Our results should facilitate construction of microbial cell factories with high and efficient production capabilities.

Indexed as

Batch Cell Culture TechniquesMetabolic EngineeringBacteriaEscherichia coliGene Expression Regulation, BacterialGene Regulatory Networks

Identifiers

PMID39747041
PMCPMC11696108

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.