Evidence map›Paper›PMID 26999001›Full record

ArticleNature methods2016

Strain-level microbial epidemiology and population genomics from shotgun metagenomics.

Matthias Scholz, Doyle V Ward, Edoardo Pasolli, Thomas Tolio, Moreno Zolfo, Francesco Asnicar, Duy Tin Truong, Adrian Tett, Ardythe L Morrow, Nicola Segata

Abstract read
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In one paragraph

Article in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing 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

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

  1. [Advances in the Application of Forensic Microbiome Analysis in Tissue Source Inference].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
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159 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

10 authors.

Matthias ScholzCentre for Integrative Biology, University of Trento, Trento, Italy.
Doyle V WardCenter for Microbiome Research, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Edoardo PasolliCentre for Integrative Biology, University of Trento, Trento, Italy.
Thomas TolioCentre for Integrative Biology, University of Trento, Trento, Italy.
Moreno ZolfoCentre for Integrative Biology, University of Trento, Trento, Italy.
Francesco AsnicarCentre for Integrative Biology, University of Trento, Trento, Italy.
Duy Tin TruongCentre for Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0002-4169-7727
Adrian TettCentre for Integrative Biology, University of Trento, Trento, Italy.
Ardythe L MorrowDepartment of Pediatrics, Perinatal Institute, Cincinnati, Ohio, USA.
Nicola SegataCentre for Integrative Biology, University of Trento, Trento, Italy.ORCID 0000-0002-1583-5794

Funding

NIAID NIH HHS HHSN272200900018C
6 · The paper itself

Abstract

Identifying microbial strains and characterizing their functional potential is essential for pathogen discovery, epidemiology and population genomics. We present pangenome-based phylogenomic analysis (PanPhlAn; http://segatalab.cibio.unitn.it/tools/panphlan), a tool that uses metagenomic data to achieve strain-level microbial profiling resolution. PanPhlAn recognized outbreak strains, produced the largest strain-level population genomic study of human-associated bacteria and, in combination with metatranscriptomics, profiled the transcriptional activity of strains in complex communities.

Indexed as

PhylogenyEscherichia coliGene Expression ProfilingGenome, BacterialGermanyHumansIntestinal MucosaMetagenomeMetagenomicsMicrobial ConsortiaSkinSoftwareSpecies Specificity

Identifiers

PMID26999001

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.