Evidence map›Paper›PMID 37512996›Full record

ArticleMicroorganisms2023

SARS-CoV-2 Recombinants: Genomic Comparison between XBF and Its Parental Lineages.

Fabio Scarpa, Chiara Locci, Ilenia Azzena, Marco Casu, Pier Luigi Fiori, Alessandra Ciccozzi, Marta Giovanetti, Miriana Quaranta, Giancarlo Ceccarelli, Stefano Pascarella and 2 more

Abstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Integrative Genome-Based Survey of the SARS-CoV-2 Omicron XBB.1.16 Variant.International journal of molecular sciences · 2023
    Article
  6. Article
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

12 authors.

Fabio ScarpaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3501-714X
Chiara LocciDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Ilenia AzzenaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Marco CasuDepartment of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-5042-4851
Pier Luigi FioriDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-6190-612X
Alessandra CiccozziUnit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, 00128 Rome, Italy.
Marta GiovanettiSciences and Technologies for Sustainable Development and One Health, University of Campus Bio-Medico of Rome, 00128 Rome, Italy.ORCID 0000-0002-5849-7326
Miriana QuarantaDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.
Giancarlo CeccarelliDepartment of Public Health and Infectious Diseases, University Hospital Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0001-5921-3180
Stefano PascarellaDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0002-6822-4022
Massimo CiccozziUnit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, 00128 Rome, Italy.ORCID 0000-0003-3866-9239
Daria SannaDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3058-4663

Funding

FONDAZIONE DI SARDEGNA to Fabio Scarpa and Daria Sanna NAPON "Ricerca e Innovazione" 2014-2020 to Marta Giovanetti NASapienza to Stefano Pascarella RP12117A7670A1E8
6 · The paper itself

Abstract

Recombination events are very common and represent one of the primary drivers of RNA virus evolution. The XBF SARS-CoV-2 lineage is one of the most recently generated recombinants during the COVID-19 pandemic. It is a recombinant of BA.5.2.3 and BA.2.75.3, both descendants of lineages that caused many concerns (BA.5 and BA.2.75, respectively). Here, we performed a genomic survey focused on comparing the recombinant XBF with its parental lineages to provide a comprehensive assessment of the evolutionary potential, epidemiological trajectory, and potential risks. Genetic analyses indicated that although XBF initially showed the typical expansion depicted by a steep curve, causing several concerns, currently there is no indication of significant expansion potential or a contagion rate surpassing that of other currently active or previously prevalent lineages. BSP indicated that the peak has been reached around 19 October 2022 and then the genetic variability suffered slight oscillations until early 5 March 2023 when the population size reduced for the last time starting its last plateau that is still lasting. Structural analyses confirmed its reduced potential, also indicating that properties of NTDs and RBDs of XBF and its parental lineages present no significant difference. Of course, cautionary measures must still be taken and genome-based monitoring remains the best tool for detecting any important changes in viral genome composition.

Indexed as

coronaviruselectrostatic surface potentialepidemiologygeneticsgenome diversityinteraction energyrecombination eventSARS-CoV-2spike mutations

Identifiers

PMID37512996
PMCPMC10383834

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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.