Evidence map›Paper›PMID 32670511›Full record

ReviewComputational and structural biotechnology journal2020

From bag-of-genes to bag-of-genomes: metabolic modelling of communities in the era of metagenome-assembled genomes.

Clémence Frioux, Dipali Singh, Tamas Korcsmaros, Falk Hildebrand

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

46 citing papers in PubMed, 107 citations in OpenAlex.

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  9. Systematic evaluation of metatranscriptomic differential gene expressionbioRxiv : the preprint server for biology · 2025
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  18. Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024
    Review
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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

4 authors at 2 institutions in 2 countries.

Clémence FriouxInria, CNRS, INRAE Bordeaux, France.
Dipali SinghMicrobes in the Food Chain, Quadram Institute Bioscience, Norwich, Norfolk, UK.
Tamas KorcsmarosGut Microbes and Health, Quadram Institute Bioscience, Norwich, Norfolk, UK.
Falk HildebrandGut Microbes and Health, Quadram Institute Bioscience, Norwich, Norfolk, UK.
Norwich Research Park · GBCentre National de la Recherche Scientifique · FR

Funding

Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10353Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10355
6 · The paper itself

Abstract

Metagenomic sequencing of complete microbial communities has greatly enhanced our understanding of the taxonomic composition of microbiotas. This has led to breakthrough developments in bioinformatic disciplines such as assembly, gene clustering, metagenomic binning of species genomes and the discovery of an incredible, so far undiscovered, taxonomic diversity. However, functional annotations and estimating metabolic processes from single species - or communities - is still challenging. Earlier approaches relied mostly on inferring the presence of key enzymes for metabolic pathways in the whole metagenome, ignoring the genomic context of such enzymes, resulting in the 'bag-of-genes' approach to estimate functional capacities of microbiotas. Here, we review recent developments in metagenomic bioinformatics, with a special focus on emerging technologies to simulate and estimate metabolic information, that can be derived from metagenomic assembled genomes. Genome-scale metabolic models can be used to model the emergent properties of microbial consortia and whole communities, and the progress in this area is reviewed. While this subfield of metagenomics is still in its infancy, it is becoming evident that there is a dire need for further bioinformatic tools to address the complex combinatorial problems in modelling the metabolism of large communities as a 'bag-of-genomes'.

Indexed as

BioinformaticsGene FunctionsMetabolic modellingMetagenomic-assembled genomesMetagenomicsMicrobiotaSystems biology

Identifiers

PMID32670511
PMCPMC7347713
OpenAlexW3037682416

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.