Evidence map›Paper›PMID 24551062›Full record

ArticlePloS one2014

Spatiotemporal characterizations of dengue virus in mainland China: insights into the whole genome from 1978 to 2011.

Hao Zhang, Yanru Zhang, Rifat Hamoudi, Guiyun Yan, Xiaoguang Chen, Yuanping Zhou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  6. Climate variation drives dengue dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
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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

6 authors at 3 institutions in 3 countries.

Hao ZhangDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China ; Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Province, School of Public Health and Tropical Medicine, Southern Medical Guangzhou, Guangdong Province, China.
Yanru ZhangDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Rifat HamoudiDepartment of Pathology, Rockefeller Building, University College London, London, United Kingdom ; UCL Cancer Institute, Paul O Gorman Building, University College London, London, United Kingdom.
Guiyun YanProgram in Public Health, University of California Irvine, Irvine, California, United States of America.
Xiaoguang ChenKey Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Province, School of Public Health and Tropical Medicine, Southern Medical Guangzhou, Guangdong Province, China.
Yuanping ZhouDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Southern Medical University · CNUniversity College London · GBUniversity of California, Irvine · US

Funding

Impacts of Urbanization on Vector Biology and Transmission of Dengue in ChinaR01AI083202 · NIAID · SOUTHERN MEDICAL UNIVERSITY · PI CHEN, XIAOGUANG · 2010 to 2013
$413k
NIAID NIH HHS R01 AI083202NIAID NIH HHS R01AI083202
6 · The paper itself

Abstract

Temporal-Spatial of dengue virus (DENV) analyses have been performed in previous epidemiological studies in mainland China, but few studies have examined the whole genome of the DENV. Herein, 40 whole genome sequences of DENVs isolated from mainland China were downloaded from GenBank. Phylogenetic analyses and evolutionary distances of the dengue serotypes 1 and 2 were calculated using 14 maximum likelihood trees created from individual genes and whole genome. Amino acid variations were also analyzed in the 40 sequences that included dengue serotypes 1, 2, 3 and 4, and they were grouped according to temporal and spatial differences. The results showed that none of the phylogenetic trees created from each individual gene were similar to the trees created using the complete genome and the evolutionary distances were variable with each individual gene. The number of amino acid variations was significantly different (p = 0.015) between DENV-1 and DENV-2 after 2001; seven mutations, the N290D, L402F and A473T mutations in the E gene region and the R101K, G105R, D340E and L349M mutations in the NS1 region of DENV-1, had significant substitutions, compared to the amino acids of DENV-2. Based on the spatial distribution using Guangzhou, including Foshan, as the indigenous area and the other regions as expanding areas, significant differences in the number of amino acid variations in the NS3 (p = 0.03) and NS1 (p = 0.024) regions and the NS2B (p = 0.016) and NS3 (p = 0.042) regions were found in DENV-1 and DENV-2. Recombination analysis showed no inter-serotype recombination events between the DENV-1 and DENV-2, while six and seven breakpoints were found in DENV-1 and DENV-2. Conclusively, the individual genes might not be suitable to analyze the evolution and selection pressure isolated in mainland China; the mutations in the amino acid residues in the E, NS1 and NS3 regions may play important roles in DENV-1 and DENV-2 epidemics.

Indexed as

Amino Acid SequenceChinaCitiesDengueDengue VirusEvolution, MolecularGenes, ViralGenome, ViralGenotyping TechniquesLikelihood FunctionsMolecular Sequence DataMutationOpen Reading FramesPhylogenyRecombination, GeneticSequence Analysis, ProteinViral Proteins

Identifiers

PMID24551062
PMCPMC3925084
OpenAlexW2005412680

What OpenQuestion holds

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LicenceCC BY
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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.