Evidence map›Paper›PMID 39868213›Full record

ArticlebioRxiv : the preprint server for biology2025

Quantitative insights into the efficacy of genome-resolved surveys of microbial communities through ribosomal protein phylogeography and EcoPhylo.

Matthew S Schechter, Florian Trigodet, Iva A Veseli, Samuel E Miller, Matthew L Klein, Metehan Sever, Loïs Maignien, Tom O Delmont, Samuel H Light, A Murat Eren

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthew S SchechterCommittee on Microbiology, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-8435-3203
Florian TrigodetHelmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany.ORCID 0000-0002-4933-2896
Iva A VeseliHelmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany.ORCID 0000-0003-2390-5286
Samuel E MillerJosephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA 02543, USA.ORCID 0000-0002-2836-1401
Matthew L KleinDuchossois Family Institute, University of Chicago, Chicago, IL 60637, USA.
Metehan SeverHelmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany.ORCID 0000-0003-1043-4956
Loïs MaignienUniversity of Brest, CNRS, IFREMER, EMR 6002 BIOMEX, Unité Biologie et Écologie des Écosystèmes Marins Profonds BEEP, F-29280 Plouzané, France.ORCID 0000-0002-5571-5228
Tom O DelmontGénomique Métabolique du Genoscope, Institut François Jacob, CEA, CNRS, University of Évry Val d'Essonne, Université Paris-Saclay, Evry, France.ORCID 0000-0001-7053-7848
Samuel H LightDuchossois Family Institute, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-8074-1348
A Murat ErenHelmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany.ORCID 0000-0001-9013-4827

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
NIGMS NIH HHS T32 GM007197
6 · The paper itself

Abstract

The increasing availability of microbial genomes is essential to gain insights into microbial ecology and evolution that can propel biotechnological and biomedical advances. Recent advances in genome recovery have significantly expanded the catalogue of microbial genomes from diverse habitats. However, the ability to explain how well a set of genomes account for the diversity in a given environment remains challenging for individual studies or biome-specific databases. Here we present EcoPhylo, a computational workflow to characterize the phylogeography of any gene family through integrated analyses of genomes and metagenomes, and apply this approach to ribosomal proteins to quantify phylogeny-aware genome recovery rates in two genome-resolved investigations of the human gut and oral cavity. Our results demonstrate that EcoPhylo reveals highly resolved, reference-free, multi-domain phylogenies in conjunction with distribution patterns of individual clades across environments, providing a means to assess genome recovery in individual studies and benchmark genome collections.

Indexed as

metagenome-assembled genomesmetagenomicsphylogeographysingle amplified genomes

Identifiers

PMID39868213
PMCPMC11760686

What OpenQuestion holds

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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.