Evidence map›Paper›PMID 28721231›Full record

ArticleNPJ biofilms and microbiomes2015

Comparative integrated omics: identification of key functionalities in microbial community-wide metabolic networks.

Hugo Roume, Anna Heintz-Buschart, Emilie E L Muller, Patrick May, Venkata P Satagopam, Cédric C Laczny, Shaman Narayanasamy, Laura A Lebrun, Michael R Hoopmann, James M Schupp and 7 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2015. 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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  7. Article
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  11. Article
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  13. Regulatory Small RNAs for a Sustained Eco-Agriculture.International journal of molecular sciences · 2023
    Review
  14. Article
  15. A Survey of Statistical Methods for Microbiome Data Analysis.Frontiers in applied mathematics and statistics · 2022
    Article
  16. Article
  17. Multi-Omics Study of Keystone Species in a Cystic Fibrosis Microbiome.International journal of molecular sciences · 2021
    Article
  18. Article
  19. Review
  20. Review
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

17 authors.

Hugo RoumeLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Anna Heintz-BuschartLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Emilie E L MullerLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Patrick MayLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID 0000-0001-8698-3770
Venkata P SatagopamLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Cédric C LacznyLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID 0000-0002-1100-1282
Shaman NarayanasamyLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Laura A LebrunLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Michael R HoopmannInstitute for Systems Biology, Seattle, WA, USA.
James M SchuppThe Translational Genomic Research Institute-North, Flagstaff, AZ, USA.
John D GilleceThe Translational Genomic Research Institute-North, Flagstaff, AZ, USA.
Nathan D HicksThe Translational Genomic Research Institute-North, Flagstaff, AZ, USA.
David M EngelthalerThe Translational Genomic Research Institute-North, Flagstaff, AZ, USA.
Thomas SauterLife Science Research Unit, University of Luxembourg, Luxembourg, Luxembourg.
Paul S KeimThe Translational Genomic Research Institute-North, Flagstaff, AZ, USA.
Robert L MoritzInstitute for Systems Biology, Seattle, WA, USA.
Paul WilmesLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
FAIMS-Selected Reaction Monitoring to Quantitative Protein Networks in DiseaseS10RR027584 · NCRR · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2011 to 2011
$576k
NCRR NIH HHS S10 RR027584NIGMS NIH HHS P50 GM076547
6 · The paper itself

Abstract

backgroundMixed microbial communities underpin important biotechnological processes such as biological wastewater treatment (BWWT). A detailed knowledge of community structure and function relationships is essential for ultimately driving these systems towards desired outcomes, e.g., the enrichment in organisms capable of accumulating valuable resources during BWWT.

methodsA comparative integrated omic analysis including metagenomics, metatranscriptomics and metaproteomics was carried out to elucidate functional differences between seasonally distinct oleaginous mixed microbial communities (OMMCs) sampled from an anoxic BWWT tank. A computational framework for the reconstruction of community-wide metabolic networks from multi-omic data was developed. These provide an overview of the functional capabilities by incorporating gene copy, transcript and protein abundances. To identify functional genes, which have a disproportionately important role in community function, we define a high relative gene expression and a high betweenness centrality relative to node degree as gene-centric and network topological features, respectively.

resultsGenes exhibiting high expression relative to gene copy abundance include genes involved in glycerolipid metabolism, particularly triacylglycerol lipase, encoded by known lipid accumulating populations, e.g.,

conclusionThe linking of key functionalities to community members through integrated omics opens up exciting possibilities for devising prediction and control strategies for microbial communities in the future.

Identifiers

PMID28721231
PMCPMC5515219

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.