Evidence map›Paper›PMID 42726091›Full record

ArticleMicrobial genomics2026

Comparative essentialome analysis of six

Julie Baltenneck, Loïc Couderc, Jacques Pédron, Guillemette Marot, Areski Flissi, Hélène Touzet, Erwan Gueguen, Marie-Anne Barny, Guy Condemine

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 2026. 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

9 authors.

Julie BaltenneckUniv Lyon, Université Lyon 1, INSA de Lyon, CNRS UMR 5240 Microbiologie Adaptation et Pathogénie, Villeurbanne, France.
Loïc CoudercUniv. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, Lille, France.
Jacques PédronSorbonne Université, INRAE, Institut d'Écologie et des Sciences de l'Environnement de Paris, Paris, France.
Guillemette MarotUniv. Lille, CHU Lille, Inria, ULR2694 - Metrics - Datavers, Lille, France.
Areski FlissiUniv. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille, Lille, France.
Hélène TouzetUniv. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille, Lille, France.
Erwan GueguenUniv Lyon, Université Lyon 1, INSA de Lyon, CNRS UMR 5240 Microbiologie Adaptation et Pathogénie, Villeurbanne, France.
Marie-Anne BarnySorbonne Université, INRAE, Institut d'Écologie et des Sciences de l'Environnement de Paris, Paris, France.
Guy CondemineUniv Lyon, Université Lyon 1, INSA de Lyon, CNRS UMR 5240 Microbiologie Adaptation et Pathogénie, Villeurbanne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposon sequencing (Tn-seq) is a powerful technique for defining the essential genes required for bacterial survival. However, gene essentiality can vary significantly across taxonomic levels, and comparing large Tn-seq datasets from multiple strains presents considerable analytical challenges. To address this, we developed TNSEEK, a fully automated bioinformatics pipeline for the systematic and comparative analysis of Tn-seq experiments. We applied TNSEEK to analyse newly generated data for six soft rot

Indexed as

DickeyaDNA Transposable ElementsGenes, EssentialPectobacteriumComputational BiologyGenome, BacterialSequence Analysis, DNADNA Transposable ElementsDickeyaessentialomePectobacteriaceaePectobacteriumtransposon sequencing (Tn-seq)

Identifiers

PMID42726091
PMCPMC13566846

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.