Evidence map›Paper›PMID 20461073›Full record

ArticleMolecular systems biology2010

Chromosomal periodicity and positional networks of genes in Escherichia coli.

Anthony Mathelier, Alessandra Carbone

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

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  13. DNA movies and panspermia.Life (Basel, Switzerland) · 2011
    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

2 authors at 2 institutions in 1 country.

Anthony MathelierUPMC Univ Paris 06, FRE3214, Génomique Analytique, 15 rue de l'Ecole de Médecine, Paris, France.
Alessandra Carbone
Centre National de la Recherche Scientifique · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structure of dynamic folds in microbial chromosomes is largely unknown. Here, we find that genes with a highly biased codon composition and characterizing a functional core in Escherichia coli K12 show to be periodically distributed along the arcs, suggesting an encoded three-dimensional genomic organization helping functional activities among which are translation and, possibly, transcription. This extends to functional classes of genes that are shown to systematically organize into two independent positional gene networks, one driven by metabolic genes and the other by genes involved in cellular processing and signaling. We conclude that functional reasons justify periodic gene organization. This finding generates new questions on evolutionary pressures imposed on the chromosome. Our methodological approach is based on single genome analysis. Given either core genes or genes organized in functional classes, we analyze the detailed distribution of distances between pairs of genes through a parameterized model based on signal processing and find that these groups of genes tend to be separated by a regular integral distance. The methodology can be applied to any set of genes and can be taken as a footprint for large-scale bacterial and archaeal analysis.

Indexed as

Genes, BacterialChromosomes, BacterialCodonEscherichia coli K12Evolution, MolecularGene Expression Regulation, BacterialGene OrderGene Regulatory NetworksGenomicsIntracellular Signaling Peptides and ProteinsModels, GeneticProtein BiosynthesisTranscription, GeneticCodonIntracellular Signaling Peptides and Proteins

Identifiers

PMID20461073
PMCPMC2890325
OpenAlexW2113029106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.