Evidence map›Paper›PMID 36778569›Full record

ArticleFrontiers in public health2023

A SARS-CoV-2 full genome sequence of the B.1.1 lineage sheds light on viral evolution in Sicily in late 2020.

Miguel Padilla-Blanco, Francesca Gucciardi, Vicente Rubio, Antonio Lastra, Teresa Lorenzo, Beatriz Ballester, Andrea González-Pastor, Veronica Veses, Giusi Macaluso, Chirag C Sheth and 5 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

15 authors.

Miguel Padilla-BlancoDepartamento de Farmacia, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU (UCH-CEU), CEU Universities, Valencia, Spain.
Francesca GucciardiIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy.
Vicente RubioDepartment of Genomics and Proteomics, Instituto de Biomedicina de Valencia del Consejo Superior de Investigaciones Científicas (IBV-CSIC) and Centre for Biomedical Network Research on Rare Diseases of the Instituto de Salud Carlos III (CIBERER-ISCIII), CEU Universities, Valencia, Spain.
Antonio LastraIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy.
Teresa LorenzoDepartamento de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Beatriz BallesterDepartamento de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Andrea González-PastorDepartamento de Medicina, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Veronica VesesDepartamento de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Giusi MacalusoIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy.
Chirag C ShethDepartamento de Medicina, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Marina Pascual-OrtizDepartamento de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Elisa MaiquesDepartamento de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Consuelo Rubio-GuerriDepartamento de Farmacia, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU (UCH-CEU), CEU Universities, Valencia, Spain.
Giuseppa PurpariIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy.
Annalisa GuercioIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the influence of geographic constrains to mobility on SARS-CoV-2 circulation before the advent of vaccination, we recently characterized the occurrence in Sicily of viral lineages in the second pandemic wave (September to December 2020). Our data revealed wide prevalence of the then widespread through Europe B.1.177 variant, although some viral samples could not be classified with the limited Sanger sequencing tools used. A particularly interesting sample could not be fitted to a major variant then circulating in Europe and has been subjected here to full genome sequencing in an attempt to clarify its origin, lineage and relations with the seven full genome sequences deposited for that period in Sicily, hoping to provide clues on viral evolution. The obtained genome is unique (not present in databases). It hosts 20 single-base substitutions relative to the original Wuhan-Hu-1 sequence, 8 of them synonymous and the other 12 encoding 11 amino acid substitutions, all of them already reported one by one. They include four highly prevalent substitutions, NSP12:P323L, S:D614G, and N:R203K/G204R; the much less prevalent S:G181V, ORF3a:G49V and N:R209I changes; and the very rare mutations NSP3:L761I, NSP6:S106F, NSP8:S41F and NSP14:Y447H. GISAID labeled this genome as B.1.1 lineage, a lineage that appeared early on in the pandemic. Phylogenetic analysis also confirmed this lineage diagnosis. Comparison with the seven genome sequences deposited in late 2020 from Sicily revealed branching leading to B.1.177 in one branch and to Alpha in the other branch, and suggested a local origin for the S:G118V mutation.

Indexed as

COVID-19Evolution, MolecularGenome, ViralSARS-CoV-2Chromosome MappingHumansPhylogenySicilyB.1.1 variantCOVID-19new sequencenovel SARS-CoV-2 genome sequenceSARS-CoV-2Sicilyvirus monitorization

Identifiers

PMID36778569
PMCPMC9909176

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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.