Evidence map›Paper›PMID 16679450›Full record

ArticleNucleic acids research2006

Involvement of DNA curvature in intergenic regions of prokaryotes.

Limor Kozobay-Avraham, Sergey Hosid, Alexander Bolshoy

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Genomic and Phenotypic Biology of Novel Strains ofFrontiers in plant science · 2021
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  7. Assessing diversity of DNA structure-related sequence features in prokaryotic genomes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2014
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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

3 authors at 1 institution in 1 country.

Limor Kozobay-AvrahamGenome Diversity Center, Institute of Evolution, University of Haifa, Haifa 31905, Israel.
Sergey Hosid
Alexander Bolshoy
University of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is known that DNA curvature plays a certain role in gene regulation. The distribution of curved DNA in promoter regions is evolutionarily preserved, and it is mainly determined by temperature of habitat. However, very little is known on the distribution of DNA curvature in termination sites. Our main objective was to comprehensively analyze distribution of curved sequences upstream and downstream to the coding genes in prokaryotic genomes. We applied CURVATURE software to 170 complete prokaryotic genomes in a search for possible typical distribution of DNA curvature around starts and ends of genes. Performing cluster analyses and other statistical tests, we obtained novel results regarding various factors influencing curvature distribution in intergenic regions, such as growth temperature, A+T composition and genome size. We also analyzed intergenic regions between converging genes in 15 selected genomes. The results show that six genomes presented peaks of curvature excess larger than 3 SDs. Insufficient statistics did not allow us to draw further conclusion. Our hypothesis is that DNA curvature could affect transcription termination in many prokaryotes either directly, through contacts with RNA polymerase, or indirectly, via contacts with some regulatory proteins.

Indexed as

Promoter Regions, GeneticTerminator Regions, GeneticCluster AnalysisDNA, ArchaealDNA, BacterialGenome, ArchaealGenome, BacterialGenomicsNucleic Acid ConformationDNA, ArchaealDNA, Bacterial

Identifiers

PMID16679450
PMCPMC1458280
OpenAlexW2162711333

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.