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First detection of SARS-CoV-2 Delta variant (B.1.617.2) in the wastewater of (Ahmedabad), India
Preprint
en Inglés
| medRxiv
| ID: ppmedrxiv-21260142
ABSTRACT
Contrary to the conventional genomic surveillance based on clinical samples (symptomatic patients), the wastewater-based genomic surveillance can identify all the variants shed by the infected individuals in the population, as it does also include RNA fragmented shredded by clinically escaped asymptomatic patients. We analyzed four samples to detect key mutations in the SARS-CoV-2 genome and track circulating variants in Ahmedabad during the first wave (Sep/ Nov 2020) and before the second wave (in Feb 2021) of COVID-19 in India. The analysis showed a total of 35 mutations in the spike protein across four samples categorized into 23 types. We noticed the presence of spike protein mutations linked to the VOC-21APR-02; B.1.617.2 lineage (Delta variant) with 57% frequency in wastewater samples of Feb 2021. The key spike protein mutations were T19R, L452R, T478K, D614G, & P681R and deletions at 22029 (6 bp), 28248 (6 bp), & 28271 (1 bp). Interestingly, these mutations were not observed in the samples of Sep and Nov 2020 but appeared before the devastating second wave of COVID-19, which started in early April 2021 in India, caused rapid transmission and deaths all over India. We found the genetic traces of the B.1.617.2 in samples of early Feb 2021 i.e., more than a month before the first clinically confirmed case of the same variant in March 2021 in Ahmedabad, Gujarat. The present study tells about the circulating variants in Ahmedabad and suggests early prediction VOCs employing the wastewater genomic surveillance approach that must be exploited at a large scale for effective COVID-19 management. HighlightsO_LIWhole-genome sequencing of SARS-CoV-2 from the WW samples was carried out. C_LIO_LIVariant of Concern (VoC VOC-21APR-02; B.1.617.2) were detected in WW samples. C_LIO_LIWBE may detect prevalent SARS-CoV-2 variants and monitor their cryptic transmission C_LIO_LIWW genomic surveillance can aid the decision-making system for public health policies. C_LI
cc_by_nc_nd
Texto completo:
Disponible
Colección:
Preprints
Base de datos:
medRxiv
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Año:
2021
Tipo del documento:
Preprint