Evidence map›Paper›PMID 16410829›Full record

ArticlePLoS computational biology2006

Long-range periodic patterns in microbial genomes indicate significant multi-scale chromosomal organization.

Timothy E Allen, Nathan D Price, Andrew R Joyce, Bernhard Ø Palsson

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Spatial Patterns of Gene Expression in Bacterial Genomes.Journal of molecular evolution · 2020
    Article
  4. The highly conserved chromosomal periodicity of transcriptomes and the correlation of its amplitude with the growth rate in Escherichia coli.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020
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  19. Genomic arrangement of bacterial operons is constrained by biological pathways encoded in the genome.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  20. 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

4 authors at 1 institution in 1 country.

Timothy E AllenDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA.
Nathan D Price
Andrew R Joyce
Bernhard Ø Palsson
University of California, San Diego · US

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
NIGMS NIH HHS GM57089NIGMS NIH HHS R01 GM057089
6 · The paper itself

Abstract

Genome organization can be studied through analysis of chromosome position-dependent patterns in sequence-derived parameters. A comprehensive analysis of such patterns in prokaryotic sequences and genome-scale functional data has yet to be performed. We detected spatial patterns in sequence-derived parameters for 163 chromosomes occurring in 135 bacterial and 16 archaeal organisms using wavelet analysis. Pattern strength was found to correlate with organism-specific features such as genome size, overall GC content, and the occurrence of known motility and chromosomal binding proteins. Given additional functional data for Escherichia coli, we found significant correlations among chromosome position dependent patterns in numerous properties, some of which are consistent with previously experimentally identified chromosome macrodomains. These results demonstrate that the large-scale organization of most sequenced genomes is significantly nonrandom, and, moreover, that this organization is likely linked to genome size, nucleotide composition, and information transfer processes. Constraints on genome evolution and design are thus not solely dependent upon information content, but also upon an intricate multi-parameter, multi-length-scale organization of the chromosome.

Indexed as

Evolution, MolecularBacterial ProteinsBase SequenceCell ShapeChromosomes, BacterialDatabases, GeneticGene Expression Regulation, BacterialGenome, BacterialNuclear ProteinsSpecies SpecificityBacterial ProteinsNuclear Proteins

Identifiers

PMID16410829
PMCPMC1326223
OpenAlexW2085350879

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.