Evidence map›Paper›PMID 23234305›Full record

ArticleBMC genomics2012

Evaluation method for the potential functionome harbored in the genome and metagenome.

Hideto Takami, Takeaki Taniguchi, Yuki Moriya, Tomomi Kuwahara, Minoru Kanehisa, Susumu Goto

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  5. Metagenomic approach to infer rumen microbiome derived traits of cattle.World journal of microbiology & biotechnology · 2023
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  9. The physiological potential of anammox bacteria as revealed by their core genome structure.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
    Article
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  18. Complete genome sequence and expression profile of the commercial lytic enzyme producer Lysobacter enzymogenes M497-1.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
    Article
  19. Article
  20. An automated system for evaluation of the potential functionome: MAPLE version 2.1.0.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
    Article
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.

Hideto TakamiMicrobial Genome Research Group, Japan Agency for Marine-Earth Science & Technology (JAMSTEC), 2-15 Natsushima, Yokosuka, 237-0061, Japan. takamih@jamstec.go.jp
Takeaki Taniguchi
Yuki Moriya
Tomomi Kuwahara
Minoru Kanehisa
Susumu Goto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the main goals of genomic analysis is to elucidate the comprehensive functions (functionome) in individual organisms or a whole community in various environments. However, a standard evaluation method for discerning the functional potentials harbored within the genome or metagenome has not yet been established. We have developed a new evaluation method for the potential functionome, based on the completion ratio of Kyoto Encyclopedia of Genes and Genomes (KEGG) functional modules.

resultsDistribution of the completion ratio of the KEGG functional modules in 768 prokaryotic species varied greatly with the kind of module, and all modules primarily fell into 4 patterns (universal, restricted, diversified and non-prokaryotic modules), indicating the universal and unique nature of each module, and also the versatility of the KEGG Orthology (KO) identifiers mapped to each one. The module completion ratio in 8 phenotypically different bacilli revealed that some modules were shared only in phenotypically similar species. Metagenomes of human gut microbiomes from 13 healthy individuals previously determined by the Sanger method were analyzed based on the module completion ratio. Results led to new discoveries in the nutritional preferences of gut microbes, believed to be one of the mutualistic representations of gut microbiomes to avoid nutritional competition with the host.

conclusionsThe method developed in this study could characterize the functionome harbored in genomes and metagenomes. As this method also provided taxonomical information from KEGG modules as well as the gene hosts constructing the modules, interpretation of completion profiles was simplified and we could identify the complementarity between biochemical functions in human hosts and the nutritional preferences in human gut microbiomes. Thus, our method has the potential to be a powerful tool for comparative functional analysis in genomics and metagenomics, able to target unknown environments containing various uncultivable microbes within unidentified phyla.

Indexed as

Databases, GeneticComputational BiologyGastrointestinal TractGenomicsHumansMetagenomeProteinsSpecies SpecificityProteins

Identifiers

PMID23234305
PMCPMC3541978

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LicenceCC BY
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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.