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Molecular epidemiology of AY.28 and AY.104 delta sub-lineages in Sri Lanka
Diyanath Ranasinghe; Deshni Jayathilaka; Chandima Jeewandara; Dumni Gunasinghe; Dinuka Ariyaratne; Tibutius Jayadasa; Heshan Kuruppu; Ayesha Wijesinghe; Farah Bary; Deshan Madushanka; Pradeep Pushpakumara; Dinuka Guruge; Ruwan Wijayamuni; Graham Ogg; Gathsaurie Neelika Malavige.
Afiliação
  • Diyanath Ranasinghe; University of Sri Jayewardenepura
  • Deshni Jayathilaka; University of Sri Jayewardenepura
  • Chandima Jeewandara; University of Sri Jayewardenepura
  • Dumni Gunasinghe; University of Sri Jayewardenepura Faculty of Medical Sciences
  • Dinuka Ariyaratne; University of Sri Jayewardenepura
  • Tibutius Jayadasa; University of Sri Jayewardenepura
  • Heshan Kuruppu; University of Sri Jayewardenepura
  • Ayesha Wijesinghe; University of Sri Jayewardenepura
  • Farah Bary; University of Sri Jayewardenepura
  • Deshan Madushanka; University of Sri Jayewardenepura
  • Pradeep Pushpakumara; University of Sri Jayewardenepura
  • Dinuka Guruge; Colombo Municipal Council, Colombo, Sri Lanka.
  • Ruwan Wijayamuni; University of Sri Jayewardenepura
  • Graham Ogg; University of Oxford
  • Gathsaurie Neelika Malavige; University of Sri Jayewardenepura
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22270436
ABSTRACT
BackgroundThe worst SARS-CoV-2 outbreak in Sri Lanka was due to the two Sri Lankan delta sub-lineages AY.28 and AY.104. We proceeded to further characterize the mutations and clinical disease severity of these two sub-lineages. Methods705 delta SARS-CoV-2 genomes sequenced by our laboratory from mid-May to November 2021 using Illumina and Oxford Nanopore were included in the analysis. The clinical disease severity of 440/705 individuals were further analyzed to determine if infection with either AY.28 or AY.104 was associated with more severe disease. Sub-genomic RNA (sg-RNA) expression was analyzed using periscope. ResultsAY.28 was the dominant variant throughout the outbreak, accounting for 67.7% of infections during the peak of the outbreak. AY.28 had three lineage defining mutations in the spike protein A222V (92.80%), A701S (88.06%), and A1078S (92.04%) and seven in the ORF1a R24C, K634N, P1640L, A2994V, A3209V, V3718A, and T3750I. AY.104 was characterized by the high prevalence of T95I (90.81%) and T572L (65.01%) mutations in the spike protein and by the absence of P1640L (94.28%) in ORF1a with the presence of A1918V (98.58%) mutation. The mean sgRNA expression levels of ORF6 in AY.28 were significantly higher compared to AY.104 (p < 0.0001) and B.1.617.2 (p < 0.01). Also, ORF3a showed significantly higher sgRNA expression in AY.28 compared to AY.104 (p < 0.0001). There was no difference in the clinical disease severity or duration of hospitalization in individuals infected with these sub lineages. ConclusionsTherefore, AY.28 appears to have a fitness advantage over the parental delta variant (B.1.617.2) and AY.104 possibly due to the A222V mutation. AY.28 also had a higher expression of sg-RNA compared to other sub-lineages. The clinical implications of these should be further investigated.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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