Evidence map›Paper›PMID 16897259›Full record

ArticleJournal of molecular evolution2006

Evolution of BK virus based on complete genome data.

Yuriko Nishimoto, Tomokazu Takasaka, Masami Hasegawa, Huai-Ying Zheng, Qin Chen, Chie Sugimoto, Tadaichi Kitamura, Yoshiaki Yogo

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In one paragraph

Article in Journal of molecular evolution, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.2field-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

17 citing papers in PubMed, 55 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

8 authors at 4 institutions in 1 country.

Yuriko NishimotoThe Institute of Statistical Mathematics, Research Organization of Information and Systems, Minato-ku, Tokyo, 106-8569, Japan.
Tomokazu Takasaka
Masami Hasegawa
Huai-Ying Zheng
Qin Chen
Chie Sugimoto
Tadaichi Kitamura
Yoshiaki Yogo
The University of Tokyo · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPResearch Organization of Information and Systems · JPThe Graduate University for Advanced Studies, SOKENDAI · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human polyomavirus BK virus (BKV) is ubiquitous in humans, infecting children asymptomatically. BKV is the only primate polyomavirus that has subtypes (I-IV) distinguishable by immunological reactivity. Nucleotide (nt) variations in a major capsid protein (VP1) gene region (designated the epitope region), probably responsible for antigenic diversity, have been used to classify BKV isolates into subtypes. Here, with all the protein-encoding gene sequences, we attempted to elucidate the evolutionary relationships among 28 BKV isolates belonging to subtypes I, III, and IV (no isolate belonging to subtype II, a minor one, was included). First, using the GTR + Gamma + I model, maximum likelihood trees were reconstructed for individual viral genes as well as for concatenated viral genes. On the resultant trees, the 28 BKV isolates were consistently divided into three clades corresponding to subtypes I, III, and IV, although bootstrap probabilities are not always high. Then we used more sophisticated likelihood models, one of which takes account of codon structure, to elucidate the phylogenetic relationships among BKV subtypes, but the phylogeny of the deep branchings remained ambiguous. Furthermore, the possibility of positive selection in the evolution of BKV was examined using the nonsynonymous/synonymous rate ratio as a measure of selection. An analysis based on entire genes could not detect any strong evidence for positive selection, but that based on the epitope region identified a few sites potentially under positive selection (these sites were among those showing subtype linked polymorphisms).

Indexed as

Evolution, MolecularGenome, ViralAdaptation, PhysiologicalBK VirusModels, GeneticPhylogenySelection, GeneticTime Factors

Identifiers

PMID16897259
OpenAlexW2019202685

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.