Evidence map›Paper›PMID 41673624›Full record

ReviewMicrobial cell factories2026

Division of labour enables Yarrowia lipolytica synthetic consortia to achieve higher growth rates from starch.

Eliza Atkinson, Guy-Bart Stan, Rodrigo Ledesma-Amaro

Abstract readReview
In one paragraph

Review 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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Eliza AtkinsonImperial College Centre for Engineering Biology, Imperial College London, London, SW7 2AZ, UK.
Guy-Bart StanImperial College Centre for Engineering Biology, Imperial College London, London, SW7 2AZ, UK.
Rodrigo Ledesma-AmaroImperial College Centre for Engineering Biology, Imperial College London, London, SW7 2AZ, UK. r.ledesma-amaro@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYarrowia lipolytica is a promising host for a range of biotechnological applications. However, the costs and sustainability of common feedstocks limit the commercial viability of current bioproduction. Consolidated bioprocessing using plant biomass offers a desirable alternative to reduce costs and improve sustainability, though such approaches are often constrained in single-organism systems due to metabolic burden. Here, we have investigated the use of division of labour (DOL) in Y. lipolytica consortia for the degradation of starch, a common component of plant biomass.

resultsWe engineered a panel of strains expressing α-amylase and/or glucoamylase, with varying promoter and signal peptide combinations. We found that stronger expression led to higher metabolic burden, and that expressing both amylases imposed a greater burden than expressing either enzyme alone. When combining both amylase strains, we found that some consortia could achieve faster growth rates than the equivalent monoculture. The fastest growing consortium identified from the panel was scaled-up into flasks, where the consortium achieved the highest final biomass, although the fastest growth rate was achieved by the α-amylase strain alone.

conclusionsThese findings suggest that DOL is a promising strategy for degrading complex macromolecules in plant biomass, offering a potential route to more sustainable bioprocessing.

Indexed as

StarchYarrowiaalpha-AmylasesBiomassGlucan 1,4-alpha-Glucosidasealpha-AmylasesGlucan 1,4-alpha-GlucosidaseStarchDivision of labourEngineering biologyMetabolic engineeringMicrobial consortiaPrecision fermentationSustainable biotechnologySynthetic biology

Identifiers

PMID41673624
PMCPMC12997842

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.