Evidence map›Paper›PMID 32499497›Full record

ReviewNature reviews. Microbiology2020

Diversity within species: interpreting strains in microbiomes.

Thea Van Rossum, Pamela Ferretti, Oleksandr M Maistrenko, Peer Bork

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 2 pooled it
21.4field-weighted citation impact, top 1% 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

242 citing papers in PubMed, 2 syntheses or guidelines pooled it, 454 citations in OpenAlex.

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  19. Gut Microbiota and Extraintestinal Cancers: Mechanistic Insights and Microbiome-Targeted Interventions.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Review
  20. Article

182 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 at 2 institutions in 1 country.

Thea Van RossumEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Pamela FerrettiEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.
Oleksandr M MaistrenkoEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-1961-7548
Peer BorkEuropean Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg, Germany. bork@embl.de.ORCID http://orcid.org/0000-0002-2627-833X
European Molecular Biology Laboratory · DEMax Delbrück Center · DE

Funding

European Research Council 669830
6 · The paper itself

Abstract

Studying within-species variation has traditionally been limited to culturable bacterial isolates and low-resolution microbial community fingerprinting. Metagenomic sequencing and technical advances have enabled culture-free, high-resolution strain and subspecies analyses at high throughput and in complex environments. This holds great scientific promise but has also led to an overwhelming number of methods and terms to describe infraspecific variation. This Review aims to clarify these advances by focusing on the diversity within bacterial and archaeal species in the context of microbiomics. We cover foundational microevolutionary concepts relevant to population genetics and summarize how within-species variation can be studied and stratified directly within microbial communities with a focus on metagenomics. Finally, we describe how common applications of within-species variation can be achieved using metagenomic data. We aim to guide the selection of appropriate terms and analytical approaches to facilitate researchers in benefiting from the increasing availability of large, high-resolution microbiome genetic sequencing data.

Indexed as

BacteriaEvolution, MolecularMetagenomicsMicrobiota

Identifiers

PMID32499497
PMCPMC7610499
OpenAlexW3034087136

What OpenQuestion holds

Textmetadata
LicenceTDM
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.