Evidence map›Paper›PMID 38898177›Full record

ArticleNature biotechnology2025

Strain tracking in complex microbiomes using synteny analysis reveals per-species modes of evolution.

Hagay Enav, Inbal Paz, Ruth E Ley

Abstract read
In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Fidelity in co-diversified symbiosis.Nature communications · 2026
    Article
  5. Enhancing the Signature Rose Aroma ofFoods (Basel, Switzerland) · 2026
    Article
  6. Review
  7. Review
  8. Leveraging FracMinHash Containment for GenomicbioRxiv : the preprint server for biology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

3 authors.

Hagay EnavDepartment of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany.ORCID http://orcid.org/0000-0001-5470-1230
Inbal PazDepartment of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany.
Ruth E LeyDepartment of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany. rley@tuebingen.mpg.de.ORCID http://orcid.org/0000-0002-9087-1672

Funding

Max-Planck-Gesellschaft (Max Planck Society) CoreMax-Planck-Gesellschaft (Max Planck Society) NA
6 · The paper itself

Abstract

Microbial species diversify into strains through single-nucleotide mutations and structural changes, such as recombination, insertions and deletions. Most strain-comparison methods quantify differences in single-nucleotide polymorphisms (SNPs) and are insensitive to structural changes. However, recombination is an important driver of phenotypic diversification in many species, including human pathogens. We introduce SynTracker, a tool that compares microbial strains using genome synteny-the order of sequence blocks in homologous genomic regions-in pairs of metagenomic assemblies or genomes. Genome synteny is a rich source of genomic information untapped by current strain-comparison tools. SynTracker has low sensitivity to SNPs, has no database requirement and is robust to sequencing errors. It outperforms existing tools when tracking strains in metagenomic data and is particularly suited for phages, plasmids and other low-data contexts. Applied to single-species datasets and human gut metagenomes, SynTracker, combined with an SNP-based tool, detects strains enriched in either point mutations or structural changes, providing insights into microbial evolution in situ.

Indexed as

Evolution, MolecularMicrobiotaSyntenyGenome, BacterialHumansMetagenomeMetagenomicsPolymorphism, Single NucleotideSoftware

Identifiers

PMID38898177
PMCPMC12084154

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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.