Evidence map›Paper›PMID 36063436›Full record

ArticleMolecular biology and evolution2022

Endogenous Viral Elements in Shrew Genomes Provide Insights into Pestivirus Ancient History.

Yiqiao Li, Magda Bletsa, Zafeiro Zisi, Ine Boonen, Sophie Gryseels, Liana Kafetzopoulou, Joanne P Webster, Stefano Catalano, Oliver G Pybus, Frederik Van de Perre and 7 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  8. A novel tamanavirus (The Journal of general virology · 2023
    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

17 authors.

Yiqiao LiDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-4826-6874
Magda BletsaDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0003-3184-6618
Zafeiro ZisiDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Ine BoonenDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Sophie GryseelsDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Liana KafetzopoulouDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.
Joanne P WebsterDepartment of Pathobiology and Population Science, Royal Veterinary College, University of London, Herts, AL9 7TA, UK.
Stefano CatalanoDepartment of Pathobiology and Population Science, Royal Veterinary College, University of London, Herts, AL9 7TA, UK.
Oliver G PybusDepartment of Pathobiology and Population Science, Royal Veterinary College, University of London, Herts, AL9 7TA, UK.ORCID 0000-0002-8797-2667
Frederik Van de PerreBelgium Evolutionary Ecology Group, University of Antwerp, 2610 Wilrijk, Belgium.
Haotian LiMarine College, Shandong University (Weihai), 264209 Weihai, China.
Yaoyao LiMarine College, Shandong University (Weihai), 264209 Weihai, China.
Yuchun LiMarine College, Shandong University (Weihai), 264209 Weihai, China.
Alexei AbramovLaboratory of Theriology, Zoological Institute of the Russian Academy of Sciences, 190121 Saint Petersburg, Russia.
Petros LymberakisNatural History Museum of Crete, Iraklio 712 02, Greece.ORCID 0000-0002-5067-9600
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0003-2826-5353
Sébastian LequimeDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-3140-0651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As viral genomic imprints in host genomes, endogenous viral elements (EVEs) shed light on the deep evolutionary history of viruses, ancestral host ranges, and ancient viral-host interactions. In addition, they may provide crucial information for calibrating viral evolutionary timescales. In this study, we conducted a comprehensive in silico screening of a large data set of available mammalian genomes for EVEs deriving from members of the viral family Flaviviridae, an important group of viruses including well-known human pathogens, such as Zika, dengue, or hepatitis C viruses. We identified two novel pestivirus-like EVEs in the reference genome of the Indochinese shrew (Crocidura indochinensis). Homologs of these novel EVEs were subsequently detected in vivo by molecular detection and sequencing in 27 shrew species, including 26 species representing a wide distribution within the Crocidurinae subfamily and one in the Soricinae subfamily on different continents. Based on this wide distribution, we estimate that the integration event occurred before the last common ancestor of the subfamily, about 10.8 million years ago, attesting to an ancient origin of pestiviruses and Flaviviridae in general. Moreover, we provide the first description of Flaviviridae-derived EVEs in mammals even though the family encompasses numerous mammal-infecting members. This also suggests that shrews were past and perhaps also current natural reservoirs of pestiviruses. Taken together, our results expand the current known Pestivirus host range and provide novel insight into the ancient evolutionary history of pestiviruses and the Flaviviridae family in general.

Indexed as

PestivirusVirusesZika VirusZika Virus InfectionAnimalsEvolution, MolecularGenome, ViralHumansPhylogenyShrewsCrociduraendogenous viral elementFlaviviridaehost rangepaleovirologypestivirus

Identifiers

PMID36063436
PMCPMC9550988

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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.