Evidence map›Paper›PMID 35336862›Full record

ArticleViruses2022

Analyses of Long-Term Epidemic Trends and Evolution Characteristics of Haplotype Subtypes Reveal the Dynamic Selection on SARS-CoV-2.

Binbin Xi, Yuhuan Meng, Dawei Jiang, Yunmeng Bai, Zixi Chen, Yimo Qu, Shuhua Li, Jinfen Wei, Lizhen Huang, Hongli Du

Abstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

10 authors.

Binbin XiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.ORCID 0000-0001-7290-7566
Yuhuan MengGuangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou KingMed Center for Clinical Laboratory Co., Ltd. & Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou 510220, China.ORCID 0000-0001-7464-3103
Dawei JiangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Yunmeng BaiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Zixi ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Yimo QuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Shuhua LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Jinfen WeiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Lizhen HuangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.ORCID 0000-0002-9839-4620
Hongli DuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Funding

the Key R&D Program of Guangdong Province 2019B020226001the National Key R&D Program of China 2018YFC0910201the Science and Technology Planning Project of Guangdong Province 2019B121205010
6 · The paper itself

Abstract

The scale of SARS-CoV-2 infection and death is so enormous that further study of the molecular and evolutionary characteristics of SARS-CoV-2 will help us better understand and respond to SARS-CoV-2 outbreaks. The present study analyzed the epidemic and evolutionary characteristics of haplotype subtypes or regions based on 1.8 million high-quality SARS-CoV-2 genomic data. The estimated ratio of the rates of non-synonymous to synonymous changes (Ka/Ks) in North America and the United States were always more than 1.0, while the Ka/Ks in other continents and countries showed a sharp decline, then a slow increase to 1.0, and a dramatic increase over time. H1 (B.1) with the highest substitution rate has become the most dominant haplotype subtype since March 2020 and has evolved into multiple haplotype subtypes with smaller substitution rates. Many evolutionary characteristics of early SARS-CoV-2, such as H3 being the only early haplotype subtype that existed for the shortest time, the global prevalence of H1 and H1-5 (B.1.1) within a month after being detected, and many high divergent genome sequences early in February 2020, indicate the missing of early SARS-CoV-2 genomic data. SARS-CoV-2 experienced dynamic selection from December 2019 to August 2021 and has been under strong positive selection since May 2021. Its transmissibility and the ability of immune escape may be greatly enhanced over time. This will bring greater challenges to the control of the pandemic.

Indexed as

COVID-19SARS-CoV-2HaplotypesHumansMutation, MissensePhylogenyepidemic trendsevolutionhaplotype subtypesKa/KsSARS-CoV-2substitution rate

Identifiers

PMID35336862
PMCPMC8954678

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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.