Evidence map›Paper›PMID 27172194›Full record

ArticleG3 (Bethesda, Md.)2016

Comparative Genomics of Interreplichore Translocations in Bacteria: A Measure of Chromosome Topology?

Supriya Khedkar, Aswin Sai Narain Seshasayee

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. 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
1.0field-weighted citation impact, top 22% 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, 11 citations in OpenAlex.

  1. Article
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  8. The Transcriptome ofFrontiers in microbiology · 2017
    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

2 authors at 1 institution in 1 country.

Supriya KhedkarNational Centre for Biological Sciences, GKVK, Bellary Road, Bangalore 560065, Karnataka, India SASTRA University, Thanjavur 613401, Tamil Nadu, India aswin@ncbs.res.in supriyak@ncbs.res.in.
Aswin Sai Narain SeshasayeeNational Centre for Biological Sciences, GKVK, Bellary Road, Bangalore 560065, Karnataka, India aswin@ncbs.res.in supriyak@ncbs.res.in.
National Centre for Biological Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomes evolve not only in base sequence but also in terms of their architecture, defined by gene organization and chromosome topology. Whereas genome sequence data inform us about the changes in base sequences for a large variety of organisms, the study of chromosome topology is restricted to a few model organisms studied using microscopy and chromosome conformation capture techniques. Here, we exploit whole genome sequence data to study the link between gene organization and chromosome topology in bacteria. Using comparative genomics across ∼250 pairs of closely related bacteria we show that: (a) many organisms show a high degree of interreplichore translocations throughout the chromosome and not limited to the inversion-prone terminus (ter) or the origin of replication (oriC); (b) translocation maps may reflect chromosome topologies; and (c) symmetric interreplichore translocations do not disrupt the distance of a gene from oriC or affect gene expression states or strand biases in gene densities. In summary, we suggest that translocation maps might be a first line in defining a gross chromosome topology given a pair of closely related genome sequences.

Indexed as

Chromosomes, BacterialDNA ReplicationGenome, BacterialGenomicsBacteriaChromosome MappingEvolution, MolecularGenes, BacterialRecombination, GeneticTranslocation, Geneticchromosome topologygene order conservationgenome architecturegenome evolution

Identifiers

PMID27172194
PMCPMC4889656
OpenAlexW2377962758

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.