Evidence map›Paper›PMID 25717195›Full record

ArticleBioinformatics (Oxford, England)2015

An event-driven approach for studying gene block evolution in bacteria.

David C Ream, Asma R Bankapur, Iddo Friedberg

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Exploring the enzymatic repertoires of Bacteria and Archaea and their associations with metabolic maps.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Emerging evolutionary paradigms in antibiotic discovery.Journal of industrial microbiology & biotechnology · 2019
    Review
  6. Review
  7. Article
  8. Investigating Evolutionary Dynamics of RHA1 Operons.Evolutionary bioinformatics online · 2016
    Article
  9. 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 at 1 institution in 1 country.

David C ReamDepartment of Microbiology, Miami University, Oxford, OH, USA and Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA.
Asma R BankapurDepartment of Microbiology, Miami University, Oxford, OH, USA and Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA.
Iddo FriedbergDepartment of Microbiology, Miami University, Oxford, OH, USA and Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA Department of Microbiology, Miami University, Oxford, OH, USA and Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA.
Miami University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationGene blocks are genes co-located on the chromosome. In many cases, gene blocks are conserved between bacterial species, sometimes as operons, when genes are co-transcribed. The conservation is rarely absolute: gene loss, gain, duplication, block splitting and block fusion are frequently observed. An open question in bacterial molecular evolution is that of the formation and breakup of gene blocks, for which several models have been proposed. These models, however, are not generally applicable to all types of gene blocks, and consequently cannot be used to broadly compare and study gene block evolution. To address this problem, we introduce an event-based method for tracking gene block evolution in bacteria.

resultsWe show here that the evolution of gene blocks in proteobacteria can be described by a small set of events. Those include the insertion of genes into, or the splitting of genes out of a gene block, gene loss, and gene duplication. We show how the event-based method of gene block evolution allows us to determine the evolutionary rateand may be used to trace the ancestral states of their formation. We conclude that the event-based method can be used to help us understand the formation of these important bacterial genomic structures. AVAILABILITY AND IMPLEMENTATION: The software is available under GPLv3 license on http://github.com/reamdc1/gene_block_evolution.git. Supplementary online material: http://iddo-friedberg.net/operon-evolution

Indexed as

Evolution, MolecularGenes, BacterialGenome, BacterialSoftwareBacteriaComputational BiologyGenomicsOperon

Identifiers

PMID25717195
PMCPMC4481853
OpenAlexW2151701000

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.