Evidence map›Paper›PMID 41651114›Full record

ArticleNew biotechnology2026

Characterising complex metabolic responses in an engineered, cross-feeding microbial co-culture using quantitative proteomics.

Mengxun Shi, Josie McQuillan, Caroline Evans, Yanmeng Liu, Xiaoxia Nina Lin, Brett Barney, Jagroop Pandhal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in New biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Mengxun ShiSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S1 3JD, UK.
Josie McQuillanSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S1 3JD, UK.
Caroline EvansSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S1 3JD, UK.
Yanmeng LiuDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Xiaoxia Nina LinDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Brett BarneyDepartment of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA.
Jagroop PandhalSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S1 3JD, UK. Electronic address: j.pandhal@sheffield.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities play a key role in biogeochemical transformations in a wide range of ecosystems, but they also hold significant potential to enhance the bioproduction of desired chemicals. Although designing synthetic microbial consortia has generated a lot of interest, a more in-depth understanding of the interactions between strains is required, particularly when strains are engineered to cross-feed, but are not isolated from related environments. Challenges include enhancing stability, productivity and controllability. Here, we used a synthetic microbial co-culture consisting of engineered strains of the photosynthetic cyanobacterium Synechococcus elongatus PCC 7942 cscB/SPS and nitrogen-fixing bacterium Azotobacter vinelandii AV3. Each relies on the other for conversion of atmospheric carbon (CO

Indexed as

Azotobacter vinelandiiProteomicsSynechococcusBacterial ProteinsCarbonCoculture TechniquesNitrogenBacterial ProteinsCarbonNitrogenAzotobacterCo-cultureCross-feedingProteomicsSynechococcus

Identifiers

PMID41651114
PMCPMC13179865

What OpenQuestion holds

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LicenceCC BY
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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.