Evidence map›Paper›PMID 21742758›Full record

ArticleNucleic acids research2011

Computational analysis of DNA replicases in double-stranded DNA viruses: relationship with the genome size.

Darius Kazlauskas, Ceslovas Venclovas

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  4. Molecular Characterization of a DNA Polymerase fromInternational journal of molecular sciences · 2022
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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.

Darius KazlauskasInstitute of Biotechnology, Vilnius University, Graičiūno 8, LT-02241 Vilnius, Lithuania.
Ceslovas Venclovas
Vilnius University · LT

Funding

Howard Hughes Medical Institute 55005627
6 · The paper itself

Abstract

Genome duplication in free-living cellular organisms is performed by DNA replicases that always include a DNA polymerase, a DNA sliding clamp and a clamp loader. What are the evolutionary solutions for DNA replicases associated with smaller genomes? Are there some general principles? To address these questions we analyzed DNA replicases of double-stranded (ds) DNA viruses. In the process we discovered highly divergent B-family DNA polymerases in phiKZ-like phages and remote sliding clamp homologs in Ascoviridae family and Ma-LMM01 phage. The analysis revealed a clear dependency between DNA replicase components and the viral genome size. As the genome size increases, viruses universally encode their own DNA polymerases and frequently have homologs of DNA sliding clamps, which sometimes are accompanied by clamp loader subunits. This pattern is highly non-random. The absence of sliding clamps in large viral genomes usually coincides with the presence of atypical polymerases. Meanwhile, sliding clamp homologs, not accompanied by clamp loaders, have an elevated positive electrostatic potential, characteristic of non-ring viral processivity factors that bind the DNA directly. Unexpectedly, we found that similar electrostatic properties are shared by the eukaryotic 9-1-1 clamp subunits, Hus1 and, to a lesser extent, Rad9, also suggesting the possibility of direct DNA binding.

Indexed as

Genome, ViralAmino Acid SequenceDNA-Directed DNA PolymeraseDNA VirusesGenome SizeGenomicsMolecular Sequence DataSequence AlignmentStatic ElectricityViral ProteinsDNA-Directed DNA PolymeraseDNA replicaseViral Proteins

Identifiers

PMID21742758
PMCPMC3201878
OpenAlexW2129742643

What OpenQuestion holds

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LicenceCC BY-NC
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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.