Evidence map›Paper›PMID 24976172›Full record

ArticleMolecular microbiology2014

Bacterial sugar utilization gives rise to distinct single-cell behaviours.

Taliman Afroz, Konstantinos Biliouris, Yiannis Kaznessis, Chase L Beisel

Abstract read
In one paragraph

Article in Molecular microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  4. Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
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  15. Article
  16. Improvement ofMicroorganisms · 2020
    Article
  17. Escherichia coli σMicrobial cell factories · 2020
    Article
  18. Frontiers in microbiology · 2020
    Article
  19. Article
  20. 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.

Taliman Afroz *Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Konstantinos Biliouris *Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA.
Yiannis KaznessisDepartment of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA.
Chase L BeiselDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.

Funding

Multiscale Models for Synthetic BiologyR01GM086865 · NIGMS · UNIVERSITY OF MINNESOTA · PI KAZNESSIS, YIANNIS · 2009 to 2010
$497k
NIGMS NIH HHS R01 GM086865
6 · The paper itself

Abstract

Inducible utilization pathways reflect widespread microbial strategies to uptake and consume sugars from the environment. Despite their broad importance and extensive characterization, little is known how these pathways naturally respond to their inducing sugar in individual cells. Here, we performed single-cell analyses to probe the behaviour of representative pathways in the model bacterium Escherichia coli. We observed diverse single-cell behaviours, including uniform responses (d-lactose, d-galactose, N-acetylglucosamine, N-acetylneuraminic acid), 'all-or-none' responses (d-xylose, l-rhamnose) and complex combinations thereof (l-arabinose, d-gluconate). Mathematical modelling and probing of genetically modified pathways revealed that the simple framework underlying these pathways - inducible transport and inducible catabolism - could give rise to most of these behaviours. Sugar catabolism was also an important feature, as disruption of catabolism eliminated tunable induction as well as enhanced memory of previous conditions. For instance, disruption of catabolism in pathways that respond to endogenously synthesized sugars led to full pathway induction even in the absence of exogenous sugar. Our findings demonstrate the remarkable flexibility of this simple biological framework, with direct implications for environmental adaptation and the engineering of synthetic utilization pathways as titratable expression systems and for metabolic engineering.

Indexed as

Carbohydrate MetabolismEscherichia coliGene Expression Regulation, BacterialMetabolic Networks and PathwaysModels, BiologicalSingle-Cell Analysis

Identifiers

PMID24976172
PMCPMC4160389

What OpenQuestion holds

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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.