Evidence map›Paper›PMID 39063563›Full record

ArticleLife (Basel, Switzerland)2024

Unraveling the Genomic Evolution of Dengue Virus Serotype 1: A Case Study from Yantai, China.

Yulou Sun, Liqun He, Xia Li, Cong Li, Shicui Yan, Yi Zhang, Zhenlu Sun

Abstract readCase Reports
In one paragraph

Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yulou SunYantai Center for Disease Control and Prevention, Yantai 264003, China.
Liqun HeYantai Center for Disease Control and Prevention, Yantai 264003, China.ORCID 0000-0001-9090-9303
Xia LiYantai Center for Disease Control and Prevention, Yantai 264003, China.
Cong LiYantai Center for Disease Control and Prevention, Yantai 264003, China.
Shicui YanYantai Center for Disease Control and Prevention, Yantai 264003, China.
Yi ZhangYantai Center for Disease Control and Prevention, Yantai 264003, China.
Zhenlu SunYantai Center for Disease Control and Prevention, Yantai 264003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In August 2023, we identified a case of dengue fever in Yantai City, which was imported from Xishuangbanna, China. To investigate its evolutionary history and population dynamics, we utilized the metatranscriptomic method to obtain the virus' whole genome sequence. Together with 367 selected dengue virus whole genome sequences from the NCBI database, we constructed a time-scaled Maximum Clade Credibility (MCC) tree. We found that our sequence exhibited a high homology with a sequence of DENV1 (OR418422.1) uploaded by the Guangzhou Center for Disease Control and Prevention in 2023, with an estimated divergence time around 2019 (95% HPD: 2017-2023), coinciding with the emergence of SARS-CoV-2. The DENV strain obtained in this study belongs to genotype I of DENV1. Its ancestors experienced a global epidemic around 2005 (95% HPD: 2002-2010), and its progeny strains have spread extensively in Southeast Asia and China since around 2007 (95% HPD: 2006-2011). The Bayesian skyline plot indicates that the current population of DENV1 has not been affected by SARS-CoV-2 and is expected to maintain stable transmission. Hence, it is imperative to track and monitor its epidemiological trends and genomic variations to prevent potential large-scale outbreaks in the post-SARS-CoV-2 era.

Indexed as

Bayesian evolutionary analysisdengue feverdengue virusgenotypeserotypewhole genome sequence

Identifiers

PMID39063563
PMCPMC11278097

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.