Evidence map›Paper›PMID 32407507›Full record

ArticleMolecular biology and evolution2020

Genomic Epidemiology, Evolution, and Transmission Dynamics of Porcine Deltacoronavirus.

Wan-Ting He, Xiang Ji, Wei He, Simon Dellicour, Shilei Wang, Gairu Li, Letian Zhang, Marius Gilbert, Henan Zhu, Gang Xing and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
16.9field-weighted citation impact, top 1% 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

99 citing papers in PubMed, 175 citations in OpenAlex.

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39 more citing papers are in PubMed but not listed here.

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

18 authors at 7 institutions in 3 countries.

Wan-Ting HeMOE International Joint Collaborative Research Laboratory for Animal Health & Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Xiang JiDepartments of Biomathematics and Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA.
Wei HeMOE International Joint Collaborative Research Laboratory for Animal Health & Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Simon DellicourDepartment of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
Shilei WangMOE International Joint Collaborative Research Laboratory for Animal Health & Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Gairu LiMOE International Joint Collaborative Research Laboratory for Animal Health & Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Letian ZhangMOE International Joint Collaborative Research Laboratory for Animal Health & Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Marius GilbertSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.
Henan ZhuDepartments of Biomathematics and Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA.
Gang XingKey Laboratory of Animal Virology of Ministry of Agriculture, Zhejiang University, Hangzhou, China.
Michael VeitInstitute for Virology, Center for Infection Medicine, Veterinary Faculty, Free University Berlin, Berlin, Germany.
Zhen HuangZhengzhou New Channel Agricultural Technology Co., Ltd, Zhengzhou, Henan, China.
Guan-Zhu HanJiangsu Key Laboratory for Microbes and Functional Genomics, College of Life Sciences, Nanjing Normal University, Nanjing, Jiangsu, China.
Yaowei HuangKey Laboratory of Animal Virology of Ministry of Agriculture, Zhejiang University, Hangzhou, China.
Marc A SuchardDepartments of Biomathematics and Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA.
Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
Shuo SuMOE International Joint Collaborative Research Laboratory for Animal Health & Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China.
Nanjing Agricultural University · CNRega Institute for Medical Research · BEUniversité Libre de Bruxelles · BEUniversity of California, Los Angeles · USZhejiang University · CNNanjing Normal University · CNTulane University · US

Funding

Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Kristian Graugaard Andersen · 2018 to 2026
$32.0M
NIAID NIH HHS U19 AI135995
6 · The paper itself

Abstract

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has shown once again that coronavirus (CoV) in animals are potential sources for epidemics in humans. Porcine deltacoronavirus (PDCoV) is an emerging enteropathogen of swine with a worldwide distribution. Here, we implemented and described an approach to analyze the epidemiology of PDCoV following its emergence in the pig population. We performed an integrated analysis of full genome sequence data from 21 newly sequenced viruses, along with comprehensive epidemiological surveillance data collected globally over the last 15 years. We found four distinct phylogenetic lineages of PDCoV, which differ in their geographic circulation patterns. Interestingly, we identified more frequent intra- and interlineage recombination and higher virus genetic diversity in the Chinese lineages compared with the USA lineage where pigs are raised in different farming systems and ecological environments. Most recombination breakpoints are located in the ORF1ab gene rather than in genes encoding structural proteins. We also identified five amino acids under positive selection in the spike protein suggesting a role for adaptive evolution. According to structural mapping, three positively selected sites are located in the N-terminal domain of the S1 subunit, which is the most likely involved in binding to a carbohydrate receptor, whereas the other two are located in or near the fusion peptide of the S2 subunit and thus might affect membrane fusion. Finally, our phylogeographic investigations highlighted notable South-North transmission as well as frequent long-distance dispersal events in China that could implicate human-mediated transmission. Our findings provide new insights into the evolution and dispersal of PDCoV that contribute to our understanding of the critical factors involved in CoVs emergence.

Indexed as

Genome, ViralAnimalsBiological EvolutionChinaCoronavirusCoronavirus InfectionsGenetic VariationGenomicsHumansModels, MolecularMolecular EpidemiologyOpen Reading FramesPhylogenyPhylogeographyProtein Structure, SecondaryRecombination, GeneticSpike Glycoprotein, CoronavirusViral ProteinsBayesian inferenceBEASTevolutionphylogeographicporcine deltacoronavirusrecombination

Identifiers

PMID32407507
PMCPMC7454817
OpenAlexW3025295657

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.