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Dominance of Three Sublineages of the SARS-CoV-2 Delta Variant in Mexico.

Blanca Itzel Taboada-RamírezSelene ZarateRodrigo García-LópezJosé Esteban Muñoz-MedinaAlejandro Sánchez-FloresAlfredo Herrera-EstrellaCelia BoukadidaBruno Gómez GilNelly Selem-MojicaMauricio Rosales-RiveraAngel Gustavo Salas-LaisRosa María Gutiérrez-RíosAntonio LozaXaira Jimena Rivera-GutiérrezJoel Armando Vazquez-PerezMargarita Matías-FlorentinoMarissa Pérez-GarcíaSantiago Ávila-RíosJuan Manuel HurtadoCarla Ivón Herrera-NájeraJosé de Jesús Núñez-ContrerasBrenda Sarquiz-MartínezVíctor Eduardo García-AriasMaría Guadalupe Santiago-MauricioBernardo Martínez-MiguelJulissa Enciso-IbarraCristóbal Cháidez-QuirózPavel IšaRosa María Wong-ChewMaría-Eugenia Jiménez-CoronaSusana LópezCarlos F Arias
Published in: Viruses (2022)
In this study, we analyzed the sequences of SARS-CoV-2 isolates of the Delta variant in Mexico, which has completely replaced other previously circulating variants in the country due to its transmission advantage. Among all the Delta sublineages that were detected, 81.5 % were classified as AY.20, AY.26, and AY.100. According to publicly available data, these only reached a world prevalence of less than 1%, suggesting a possible Mexican origin. The signature mutations of these sublineages are described herein, and phylogenetic analyses and haplotype networks are used to track their spread across the country. Other frequently detected sublineages include AY.3, AY.62, AY.103, and AY.113. Over time, the main sublineages showed different geographical distributions, with AY.20 predominant in Central Mexico, AY.26 in the North, and AY.100 in the Northwest and South/Southeast. This work describes the circulation, from May to November 2021, of the primary sublineages of the Delta variant associated with the third wave of the COVID-19 pandemic in Mexico and highlights the importance of SARS-CoV-2 genomic surveillance for the timely identification of emerging variants that may impact public health.
Keyphrases
  • sars cov
  • public health
  • copy number
  • respiratory syndrome coronavirus
  • risk factors
  • tertiary care
  • global health
  • data analysis