Evidence map›Paper›PMID 18058013›Full record

ArticleVirus genes2008

Molecular characterization and evolutionary analysis of soybean mosaic virus infecting Pinellia ternata in China.

Haohua Sun, Susu ShenTu, Feng Xue, Greg Duns, Jishuang Chen

Abstract read
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Article in Virus genes, 2008. 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
0.5field-weighted citation impact, top 24% 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, 10 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

5 authors at 2 institutions in 1 country.

Haohua SunInstitute of Bioengineering, Zhejiang Sci-Tech University, Road 2, Xiasha, Hangzhou, Zhejiang 310018, PR China. johnsooh@126.com
Susu ShenTu
Feng Xue
Greg Duns
Jishuang Chen
Zhejiang Sci-Tech University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twenty-nine Pinellia ternata specimens were collected from representative areas in China, including the major production provinces of Zhejiang, Henan, Shanxi, Hunan, Shandong and Hubei. Seven isolates related to soybean mosaic virus (SMV), which could be pathogenic on P. ternata and some soybean [Glycine max (L.) Merr.] cultivars, were detected using double antibody sandwich immunosorbent assay (DAS-ELISA) and RT-PCR amplification performed with degenerate primer of potyviruses. It is revealed that the common potyvirus infecting P. ternata is, indeed, only SMVs rather than Dasheen mosaic virus (DsMV) as previously reported. Further molecular phylogenetic analysis of the coat protein (CP) genes of these SMV isolates from P. ternata and G. max, along with some other potyvirus members, such as DsMV and Watermelon mosaic virus (WMV) reconstructed the evolutionary route on both nucleotide and amino acid levels. Similarity and homology of nucleotide sequences for SMV CP genes demonstrated high host correlation and low partial habitat correlation, while those of amino acid sequences also showed that the host correlation was more notable than the habitat correlation. The amino acid sequence of conserved region within CP determines the main function, which shows high homology between species. This study outspreaded from the viruses themselves and their relationship to the infected hosts and revealed the evolutionary strategies, especially the rapid variation or recombination of SMV of P. ternata, in order to adapt itself naturally to the special host.

Indexed as

Evolution, MolecularGenome, ViralAmino Acid SequenceBase SequenceChinaMolecular Sequence DataMosaic VirusesPhylogenyPinelliaPlant DiseasesPlant LeavesRNA, ViralSequence Homology, Nucleic AcidRNA, Viral

Identifiers

PMID18058013
OpenAlexW1976264671

What OpenQuestion holds

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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.