Evidence map›Paper›PMID 33446818›Full record

ArticleScientific reports2021

Pseudomonas aeruginosa reverse diauxie is a multidimensional, optimized, resource utilization strategy.

S Lee McGill, Yeni Yung, Kristopher A Hunt, Michael A Henson, Luke Hanley, Ross P Carlson

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
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  14. Combinatorial control ofmSystems · 2024
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  17. The L-lactate dehydrogenases ofbioRxiv : the preprint server for biology · 2024
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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

6 authors.

S Lee McGillDepartment of Chemical and Biological Engineering, Center for Biofilm Engineering, Montana State University, Bozeman, MT, 59717, USA.
Yeni YungDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Kristopher A HuntDepartment of Chemical and Biological Engineering, Center for Biofilm Engineering, Montana State University, Bozeman, MT, 59717, USA.
Michael A HensonDepartment of Chemical Engineering, Institute for Applied Life Sciences, University of Massachusetts, Amherst, MA, 01003, USA.
Luke HanleyDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, 60607, USA.
Ross P CarlsonDepartment of Chemical and Biological Engineering, Center for Biofilm Engineering, Montana State University, Bozeman, MT, 59717, USA. rossc@montana.edu.

Funding

Predictive Multiscale Modeling of Microbial Consortia BiofilmsU01EB019416 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI CARLSON, ROSS P., FIELDS, MATTHEW W · 2014 to 2017
$1.3M
NIBIB NIH HHS U01 EB019416
6 · The paper itself

Abstract

Pseudomonas aeruginosa is a globally-distributed bacterium often found in medical infections. The opportunistic pathogen uses a different, carbon catabolite repression (CCR) strategy than many, model microorganisms. It does not utilize a classic diauxie phenotype, nor does it follow common systems biology assumptions including preferential consumption of glucose with an 'overflow' metabolism. Despite these contradictions, P. aeruginosa is competitive in many, disparate environments underscoring knowledge gaps in microbial ecology and systems biology. Physiological, omics, and in silico analyses were used to quantify the P. aeruginosa CCR strategy known as 'reverse diauxie'. An ecological basis of reverse diauxie was identified using a genome-scale, metabolic model interrogated with in vitro omics data. Reverse diauxie preference for lower energy, nonfermentable carbon sources, such as acetate or succinate over glucose, was predicted using a multidimensional strategy which minimized resource investment into central metabolism while completely oxidizing substrates. Application of a common, in silico optimization criterion, which maximizes growth rate, did not predict the reverse diauxie phenotypes. This study quantifies P. aeruginosa metabolic strategies foundational to its wide distribution and virulence including its potentially, mutualistic interactions with microorganisms found commonly in the environment and in medical infections.

Indexed as

Models, BiologicalBacterial ProteinsHumansPseudomonas aeruginosaBacterial Proteins

Identifiers

PMID33446818
PMCPMC7809481

What OpenQuestion holds

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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.