Evidence map›Paper›PMID 25896518›Full record

ArticleGenome biology2015

Inter-individual differences in the gene content of human gut bacterial species.

Ana Zhu, Shinichi Sunagawa, Daniel R Mende, Peer Bork

Abstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 2 pooled it
–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

116 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Insights into toxin-antitoxin systems in the genusApplied and environmental microbiology · 2025
    Review
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  15. The Microbiome and Metabolic Dysfunction-Associated Steatotic Liver Disease.International journal of molecular sciences · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Sequencing-based analysis of microbiomes.Nature reviews. Genetics · 2024
    Review

56 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ana ZhuEuropean Molecular Biology Laboratory, Meyerhofstr. 1, 69117, Heidelberg, Germany. azhu@embl.de.
Shinichi SunagawaEuropean Molecular Biology Laboratory, Meyerhofstr. 1, 69117, Heidelberg, Germany. sunagawa@embl.de.
Daniel R MendeEuropean Molecular Biology Laboratory, Meyerhofstr. 1, 69117, Heidelberg, Germany. mende@embl.de.
Peer BorkEuropean Molecular Biology Laboratory, Meyerhofstr. 1, 69117, Heidelberg, Germany. bork@embl.de.

Funding

European Research Council 268985
6 · The paper itself

Abstract

backgroundGene content differences in human gut microbes can lead to inter-individual phenotypic variations such as digestive capacity. It is unclear whether gene content variation is caused by differences in microbial species composition or by the presence of different strains of the same species; the extent of gene content variation in the latter is unknown. Unlike pan-genome studies of cultivable strains, the use of metagenomic data can provide an unbiased view of structural variation of gut bacterial strains by measuring them in their natural habitats, the gut of each individual in this case, representing native boundaries between gut bacterial populations. We analyzed publicly available metagenomic data from fecal samples to characterize inter-individual variation in gut bacterial species.

resultsA comparison of 11 abundant gut bacterial species showed that the gene content of strains from the same species differed, on average, by 13% between individuals. This number is based on gene deletions only and represents a lower limit, yet the variation is already in a similar range as observed between completely sequenced strains of cultivable species. We show that accessory genes that differ considerably between individuals can encode important functions, such as polysaccharide utilization and capsular polysaccharide synthesis loci.

conclusionMetagenomics can yield insights into gene content variation of strains in complex communities, which cannot be predicted by phylogenetic marker genes alone. The large degree of inter-individual variability in gene content implies that strain resolution must be considered in order to fully assess the functional potential of an individual's human gut microbiome.

Indexed as

Genome, BacterialMetagenomeChromosome MappingDatabases, GeneticFecesGastrointestinal MicrobiomeGastrointestinal TractGene DeletionGenetic LociGenetic VariationGenome SizeHumansPhylogenyPolysaccharidesSelection, GeneticPolysaccharides

Identifiers

PMID25896518
PMCPMC4428241

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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.