Evidence map›Paper›PMID 35698129›Full record

ArticleMicrobial cell factories2022

Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation.

Eliza Atkinson, Zoltan Tuza, Giansimone Perrino, Guy-Bart Stan, Rodrigo Ledesma-Amaro

Abstract read
In one paragraph

Article in Microbial cell factories, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Eliza AtkinsonDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW72AZ, UK.
Zoltan TuzaDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW72AZ, UK.
Giansimone PerrinoDepartment of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW72AZ, UK.
Guy-Bart Stan *Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW72AZ, UK. g.stan@imperial.ac.uk.
Rodrigo Ledesma-Amaro *Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, SW72AZ, UK. r.ledesma-amaro@imperial.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/R01602X/1Biotechnology and Biological Sciences Research Council BB/T011408/1Biotechnology and Biological Sciences Research Council BB/T013176/1European Commision 949080, 101022370, 18229Royal Academy of Engineering CiET1819\5Royal Society 527429894Royal Society NAF\R1\201187
6 · The paper itself

Abstract

backgroundLow-cost sustainable feedstocks are essential for commercially viable biotechnologies. These feedstocks, often derived from plant or food waste, contain a multitude of different complex biomolecules which require multiple enzymes to hydrolyse and metabolise. Current standard biotechnology uses monocultures in which a single host expresses all the proteins required for the consolidated bioprocess. However, these hosts have limited capacity for expressing proteins before growth is impacted. This limitation may be overcome by utilising division of labour (DOL) in a consortium, where each member expresses a single protein of a longer degradation pathway.

resultsHere, we model a two-strain consortium, with one strain expressing an endohydrolase and a second strain expressing an exohydrolase, for cooperative degradation of a complex substrate. Our results suggest that there is a balance between increasing expression to enhance degradation versus the burden that higher expression causes. Once a threshold of burden is reached, the consortium will consistently perform better than an equivalent single-cell monoculture.

conclusionsWe demonstrate that resource-aware whole-cell models can be used to predict the benefits and limitations of using consortia systems to overcome burden. Our model predicts the region of expression where DOL would be beneficial for growth on starch, which will assist in making informed design choices for this, and other, complex-substrate degradation pathways.

Indexed as

Microbial ConsortiaRefuse DisposalFoodConsolidated bioprocessesDivision of labourMicrobial consortiaResource-aware whole-cell modellingSynthetic biology

Identifiers

PMID35698129
PMCPMC9195437

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LicenceCC BY
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Registered trials

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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.