Evidence map›Paper›PMID 19099604›Full record

ArticleBMC bioinformatics2008

Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network.

Matteo Brilli, Alessio Mengoni, Marco Fondi, Marco Bazzicalupo, Pietro Liò, Renato Fani

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. Molecular kinetics dictate population dynamics in CRISPR-based plasmid defense.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  10. Identification of Plasmid-Encoded sRNAs in aFrontiers in microbiology · 2018
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  15. Network Analysis of Plasmidomes: The Azospirillum brasilense Sp245 Case.International journal of evolutionary biology · 2014
    Article
  16. Salmonella pathogenicity and host adaptation in chicken-associated serovars.Microbiology and molecular biology reviews : MMBR · 2013
    Review
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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

6 authors at 3 institutions in 3 countries.

Matteo BrilliDepartment of Evolutionary Biology, University of Florence, via Romana 17, I-50125 Florence, Italy. brilli@biomserv.univ-lyon1.fr
Alessio Mengoni
Marco Fondi
Marco Bazzicalupo
Pietro Liò
Renato Fani
University of Florence · ITCentre National de la Recherche Scientifique · FRUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhylogenetic methods are well-established bioinformatic tools for sequence analysis, allowing to describe the non-independencies of sequences because of their common ancestor. However, the evolutionary profiles of bacterial genes are often complicated by hidden paralogy and extensive and/or (multiple) horizontal gene transfer (HGT) events which make bifurcating trees often inappropriate. In this context, plasmid sequences are paradigms of network-like relationships characterizing the evolution of prokaryotes. Actually, they can be transferred among different organisms allowing the dissemination of novel functions, thus playing a pivotal role in prokaryotic evolution. However, the study of their evolutionary dynamics is complicated by the absence of universally shared genes, a prerequisite for phylogenetic analyses.

resultsTo overcome such limitations we developed a bioinformatic package, named Blast2Network (B2N), allowing the automatic phylogenetic profiling and the visualization of homology relationships in a large number of plasmid sequences. The software was applied to the study of 47 completely sequenced plasmids coming from Escherichia, Salmonella and Shigella spps.

conclusionThe tools implemented by B2N allow to describe and visualize in a new way some of the evolutionary features of plasmid molecules of Enterobacteriaceae; in particular it helped to shed some light on the complex history of Escherichia, Salmonella and Shigella plasmids and to focus on possible roles of unannotated proteins.The proposed methodology is general enough to be used for comparative genomic analyses of bacteria.

Indexed as

Genes, BacterialPhylogenySequence Homology, Amino AcidSoftwareEvolution, MolecularGene Regulatory NetworksGene Transfer, HorizontalModels, BiologicalPlasmidsShigella

Identifiers

PMID19099604
PMCPMC2640388
OpenAlexW2033656249

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.