Evidence map›Paper›PMID 25188426›Full record

ArticlePLoS computational biology2014

A peptide-based method for 13C Metabolic Flux Analysis in microbial communities.

Amit Ghosh, Jerome Nilmeier, Daniel Weaver, Paul D Adams, Jay D Keasling, Aindrila Mukhopadhyay, Christopher J Petzold, Héctor García Martín

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 56 citations in OpenAlex.

  1. Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025
    Review
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  3. From nets to networks: tools for deciphering phytoplankton metabolic interactions within communities and their global significance.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 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

8 authors at 2 institutions in 1 country.

Amit GhoshPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America.
Jerome NilmeierPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America.
Daniel WeaverPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America.
Paul D AdamsPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America; Department of Bioengineering, University of California, Berkeley, Berkeley, California, United States of America.
Jay D KeaslingPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America; Department of Bioengineering, University of California, Berkeley, Berkeley, California, United States of America; Department of Chemical Engineering, University of California, Berkeley, Berkeley, United States of America.
Aindrila MukhopadhyayPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America.
Christopher J PetzoldPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America.
Héctor García MartínPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America; Joint BioEnergy Institute, Emeryville, California, United States of America.
Joint BioEnergy Institute · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of intracellular metabolic fluxes and inter-species metabolite exchange for microbial communities is of crucial importance to understand and predict their behaviour. The most authoritative method of measuring intracellular fluxes, 13C Metabolic Flux Analysis (13C MFA), uses the labeling pattern obtained from metabolites (typically amino acids) during 13C labeling experiments to derive intracellular fluxes. However, these metabolite labeling patterns cannot easily be obtained for each of the members of the community. Here we propose a new type of 13C MFA that infers fluxes based on peptide labeling, instead of amino acid labeling. The advantage of this method resides in the fact that the peptide sequence can be used to identify the microbial species it originates from and, simultaneously, the peptide labeling can be used to infer intracellular metabolic fluxes. Peptide identity and labeling patterns can be obtained in a high-throughput manner from modern proteomics techniques. We show that, using this method, it is theoretically possible to recover intracellular metabolic fluxes in the same way as through the standard amino acid based 13C MFA, and quantify the amount of information lost as a consequence of using peptides instead of amino acids. We show that by using a relatively small number of peptides we can counter this information loss. We computationally tested this method with a well-characterized simple microbial community consisting of two species.

Indexed as

Models, BiologicalAmino AcidsCarbon IsotopesComputational BiologyDesulfovibrio vulgarisMetabolic Flux AnalysisMethanococcusMicrobial ConsortiaPeptidesAmino AcidsCarbon IsotopesPeptides

Identifiers

PMID25188426
PMCPMC4154649
OpenAlexW2074597281

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.