Evidence map›Paper›PMID 21124828›Full record

ArticlePloS one2010

A systems biology approach uncovers cellular strategies used by Methylobacterium extorquens AM1 during the switch from multi- to single-carbon growth.

Elizabeth Skovran, Gregory J Crowther, Xiaofeng Guo, Song Yang, Mary E Lidstrom

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

33 citing papers in PubMed, 58 citations in OpenAlex.

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  8. Levulinic Acid-Inducible and Tunable Gene Expression System forFrontiers in bioengineering and biotechnology · 2021
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  12. AcidotolerantFrontiers in microbiology · 2017
    Article
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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 at 1 institution in 1 country.

Elizabeth SkovranDepartment of Chemical Engineering, University of Washington, Seattle, Washington, USA. eskovran@u.washington.edu
Gregory J Crowther
Xiaofeng Guo
Song Yang
Mary E Lidstrom
University of Washington · US

Funding

Integrated Metabolism in Methylobacterium extroquens AM1R01GM058933 · NIGMS · UNIVERSITY OF WASHINGTON · PI LIDSTROM, MARY E · 1999 to 2010
$3.1M
Modular design of central metabolism in methylotrophsF32GM070297 · NIGMS · UNIVERSITY OF WASHINGTON · PI CROWTHER, GREGORY JOHN · 2004 to 2006
$142k
Iron Homeostasis and its Involvement in C1 MetabolismF32GM078835 · NIGMS · UNIVERSITY OF WASHINGTON · PI SKOVRAN, ELIZABETH C · 2006 to 2007
$95k
NIGMS NIH HHS 5F32GM070297NIGMS NIH HHS F32 GM070297NIGMS NIH HHS F32 GM078835NIGMS NIH HHS GM58933NIGMS NIH HHS R01 GM058933
6 · The paper itself

Abstract

backgroundWhen organisms experience environmental change, how does their metabolic network reset and adapt to the new condition? Methylobacterium extorquens is a bacterium capable of growth on both multi- and single-carbon compounds. These different modes of growth utilize dramatically different central metabolic pathways with limited pathway overlap. METHODOLOGY/PRINCIPAL

findingsThis study focused on the mechanisms of metabolic adaptation occurring during the transition from succinate growth (predicted to be energy-limited) to methanol growth (predicted to be reducing-power-limited), analyzing changes in carbon flux, gene expression, metabolites and enzymatic activities over time. Initially, cells experienced metabolic imbalance with excretion of metabolites, changes in nucleotide levels and cessation of cell growth. Though assimilatory pathways were induced rapidly, a transient block in carbon flow to biomass synthesis occurred, and enzymatic assays suggested methylene tetrahydrofolate dehydrogenase as one control point. This "downstream priming" mechanism ensures that significant carbon flux through these pathways does not occur until they are fully induced, precluding the buildup of toxic intermediates. Most metabolites that are required for growth on both carbon sources did not change significantly, even though transcripts and enzymatic activities required for their production changed radically, underscoring the concept of metabolic setpoints. CONCLUSIONS/SIGNIFICANCE: This multi-level approach has resulted in new insights into the metabolic strategies carried out to effect this shift between two dramatically different modes of growth and identified a number of potential flux control and regulatory check points as a further step toward understanding metabolic adaptation and the cellular strategies employed to maintain metabolic setpoints.

Indexed as

Bacterial ProteinsCarbonCell DivisionEnergy MetabolismFormaldehydeFormatesGene Expression Regulation, BacterialMetabolic Networks and PathwaysMethanolMethylobacterium extorquensModels, BiologicalOxidation-ReductionSuccinic AcidSystems BiologyBacterial ProteinsCarbonFormaldehydeFormatesformic acidMethanolSuccinic Acid

Identifiers

PMID21124828
PMCPMC2991311
OpenAlexW2083660052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.