Omicron Waves in Argentina: Dynamics of SARS-CoV-2 Lineages BA.1, BA.2 and the Emerging BA.2.12.1 and BA.4/BA.5

Author:

Torres Carolina12ORCID,Nabaes Jodar Mercedes23,Acuña Dolores23,Montaño Romina Micaela Zambrana12,Culasso Andrés Carlos Alberto12ORCID,Amadio Ariel Fernando24ORCID,Aulicino Paula25,Ceballos Santiago6,Cacciabue Marco7,Debat Humberto8ORCID,Dus Santos María José910ORCID,Eberhardt María Florencia24,Espul Carlos11,Fay Fabián12,Fernández María Ailén13,Fernández Franco8,Muñoz Juan Manuel Fernandez14ORCID,Ferrini Florencia15,Gallego Fernando6,Giri Adriana Angélica16ORCID,Cerri Agustina16,Bolatti Elisa16ORCID,Gismondi María Ines717,Goya Stephanie3,Gramundi Iván6,Irazoqui José Matías24ORCID,König Guido Alberto7,Leiva Viviana11,Lucero Horacio18,Marquez Nathalie8ORCID,Nardi Cristina6,Ortiz Belén11,Pianciola Luis13ORCID,Pintos Carolina Beatriz13,Puebla Andrea Fabiana7,Rastellini Carolina Victoria13,Rojas Alejandro Ezequiel6,Sfalcin Javier12,Suárez Ariel19,Tittarelli Estefanía19,Toro Rosana20,Villanova Gabriela Vanina221ORCID,Ziehm María Cecilia13,Zimmermann María Carla15ORCID,Zunino Sebastián1722,Valinotto Laura23,Viegas Mariana23ORCID,

Affiliation:

1. Instituto de Investigaciones en Bacteriología y Virología Molecular (IbaViM), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires 1113, Argentina

2. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires 1425, Argentina

3. Laboratorio de Virología Hospital de Niños Dr. Ricardo Gutiérrez, Ciudad Autónoma de Buenos Aires 1425, Argentina

4. Instituto de Investigación de la Cadena Láctea (IDICAL) INTA-CONICET, Rafaela 2300, Argentina

5. Laboratorio de Biología Celular y Retrovirus, Hospital de Pediatría “Prof. Juan P. Garrahan”, Ciudad Autónoma de Buenos Aires 1245, Argentina

6. Hospital Regional Ushuaia; Universidad Nacional de Tierra del Fuego, Antártida e Islas del Atlántico Sur, UNTDF y CADIC-CONICET, Ushuaia 9410, Argentina

7. Instituto de Biotecnología/Instituto de Agrobiotecnología y Biología Molecular (INTA-CONICET), Hurlingham 1686, Argentina

8. Instituto de Patología Vegetal-Centro de Investigaciones Agropecuarias Instituto Nacional de Tecnología Agropecuaria (IPAVE-CIAP-INTA), Córdoba 5020, Argentina

9. Instituto de Virología e Innovaciones Tecnológicas (INTA-CONICET), Hurlingham 1686, Argentina

10. Laboratorio de Diagnóstico-UNIDAD COVID- Universidad Nacional de Hurlingham, Hurlingham 1688, Argentina

11. Laboratorio de Salud Pública, Godoy Cruz 5501, Argentina

12. CIBIC Laboratorio, Rosario 2000, Argentina

13. Laboratorio Central Neuquén, Ministerio de Salud de la Provincia del Neuquén, Neuquén 8302, Argentina

14. Instituto de Medicina y Biología Experimental de Cuyo (IMBECU—CONICET), Mendoza 5500, Argentina

15. Laboratorio de Medicina Genómica, Facultad de Medicina, Universidad Nacional del Nordeste, Corrientes 3400, Argentina

16. IBR-CONICET, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Rosario 2000, Argentina

17. Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina

18. Instituto de Medicina Regional, Resistencia 3500, Argentina

19. Departamento de Biología y Genética Molecular, IACA Laboratorios, Bahía Blanca 8000, Argentina

20. Laboratorio de salud pública, Facultad de Ciencias Exactas, UNLP, La Plata 1900, Argentina

21. Laboratorio de Biotecnología Acuática, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Centro Científico Tecnológico y Educativo Acuario del río Paraná, Rosario 2000, Argentina

22. Laboratorio de Virología Molecular, Hospital Blas L. Dubarry, Mercedes 6600, Argentina

Abstract

The COVID-19 pandemic has lately been driven by Omicron. This work aimed to study the dynamics of SARS-CoV-2 Omicron lineages during the third and fourth waves of COVID-19 in Argentina. Molecular surveillance was performed on 3431 samples from Argentina, between EW44/2021 and EW31/2022. Sequencing, phylogenetic and phylodynamic analyses were performed. A differential dynamic between the Omicron waves was found. The third wave was associated with lineage BA.1, characterized by a high number of cases, very fast displacement of Delta, doubling times of 3.3 days and a low level of lineage diversity and clustering. In contrast, the fourth wave was longer but associated with a lower number of cases, initially caused by BA.2, and later by BA.4/BA.5, with doubling times of about 10 days. Several BA.2 and BA.4/BA.5 sublineages and introductions were detected, although very few clusters with a constrained geographical distribution were observed, suggesting limited transmission chains. The differential dynamic could be due to waning immunity and an increase in population gatherings in the BA.1 wave, and a boosted population (for vaccination or recent prior immunity for BA.1 infection) in the wave caused by BA2/BA.4/BA.5, which may have limited the establishment of the new lineages.

Funder

Ministerio de Ciencia, Tecnología e Innovación, Argentina

Fondo para la Convergencia Estructural del MERCOSUR

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

Reference29 articles.

1. (2022, December 01). World Health Organization Tracking SARS-CoV-2 Variants. Available online: https://www.who.int/en/activities/tracking-SARS-CoV-2-variants/.

2. A Dynamic Nomenclature Proposal for SARS-CoV-2 Lineages to Assist Genomic Epidemiology;Rambaut;Nat. Microbiol.,2020

3. Hospitalisation and Mortality Risk of SARS-COV-2 Variant Omicron Sub-Lineage BA.2 Compared to BA.1 in England;Webster;Nat. Commun.,2022

4. Estimates of SARS-CoV-2 Omicron BA.2 Subvariant Severity in New England;Strasser;JAMA Netw. Open,2022

5. COVID-19 Vaccine Effectiveness against the Omicron (BA.2) Variant in England;Kirsebom;Lancet Infect. Dis.,2022

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