Evidence map›Paper›PMID 22942675›Full record

ArticleCurrent genomics2012

A blueprint for a mutationist theory of replicative strand asymmetries formation.

Vladislav V Khrustalev, Eugene V Barkovsky

Open access · bronzeAbstract read
In one paragraph

Article in Current genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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.

Vladislav V KhrustalevDepartment of General Chemistry, Belarussian State Medical University, Belarus, Minsk, Dzerzinskogo, 83, Russia.
Eugene V Barkovsky
Belarusian State Medical University · BY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present review, we summarized current knowledge on replicative strand asymmetries in prokaryotic genomes. A cornerstone for the creation of a theory of their formation has been overviewed. According to our recent works, the probability of nonsense mutation caused by replication-associated mutational pressure is higher for genes from lagging strands than for genes from leading strands of both bacterial and archaeal genomes. Lower density of open reading frames in lagging strands can be explained by faster rates of nonsense mutations in genes situated on them. According to the asymmetries in nucleotide usage in fourfold and twofold degenerate sites, the direction of replication-associated mutational pressure for genes from lagging strands is usually the same as the direction of transcription-associated mutational pressure. It means that lagging strands should accumulate more 8-oxo-G, uracil and 5-formyl-uracil, respectively. In our opinion, consequences of cytosine deamination (C to T transitions) do not lead to the decrease of cytosine usage in genes from lagging strands because of the consequences of thymine oxidation (T to C transitions), while guanine oxidation (causing G to T transversions) makes the main contribution into the decrease of guanine usage in fourfold degenerate sites of genes from lagging strands. Nucleotide usage asymmetries and bias in density of coding regions can be found in archaeal genomes, although, the percent of "inversed" asymmetries is much higher for them than for bacterial genomes. "Homogenized" and "inversed" replicative strand asymmetries in archaeal genomes can be used as retrospective indexes for detection of OriC translocations and large inversions.

Indexed as

ChirochoreGC-contentisochoremutational pressurenonsense mutationreplichore.

Identifiers

PMID22942675
PMCPMC3269017
OpenAlexW2022394089

What OpenQuestion holds

Textmetadata
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.