Evidence map›Paper›PMID 20458099›Full record

ArticleGenome research2010

A global network of coexisting microbes from environmental and whole-genome sequence data.

Samuel Chaffron, Hubert Rehrauer, Jakob Pernthaler, Christian von Mering

Abstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 1 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

211 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The Importance ofMicroorganisms · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Gut Microbiome of Two Rodent Species (Animals : an open access journal from MDPI · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. mSystems · 2025
    Article
  14. Article
  15. Review
  16. 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
    Review
  17. Article
  18. Article
  19. Article
  20. Article

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

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.

Samuel ChaffronInstitute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, CH-8057 Zürich, Switzerland.
Hubert Rehrauer
Jakob Pernthaler
Christian von Mering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes are the most abundant and diverse organisms on Earth. In contrast to macroscopic organisms, their environmental preferences and ecological interdependencies remain difficult to assess, requiring laborious molecular surveys at diverse sampling sites. Here, we present a global meta-analysis of previously sampled microbial lineages in the environment. We grouped publicly available 16S ribosomal RNA sequences into operational taxonomic units at various levels of resolution and systematically searched these for co-occurrence across environments. Naturally occurring microbes, indeed, exhibited numerous, significant interlineage associations. These ranged from relatively specific groupings encompassing only a few lineages, to larger assemblages of microbes with shared habitat preferences. Many of the coexisting lineages were phylogenetically closely related, but a significant number of distant associations were observed as well. The increased availability of completely sequenced genomes allowed us, for the first time, to search for genomic correlates of such ecological associations. Genomes from coexisting microbes tended to be more similar than expected by chance, both with respect to pathway content and genome size, and outliers from these trends are discussed. We hypothesize that groupings of lineages are often ancient, and that they may have significantly impacted on genome evolution.

Indexed as

EnvironmentGenomeSequence Analysis, DNABase SequenceCluster AnalysisEvolution, MolecularGeographyMeta-Analysis as TopicMetagenomicsMicrobial InteractionsModels, BiologicalMolecular Sequence DataRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID20458099
PMCPMC2892096

What OpenQuestion holds

Textmetadata
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.