Cargando…
SARS-CoV-2 variant detection with ADSSpike
The SARS-CoV-2 coronavirus pandemic has been an unprecedented challenge to global pandemic response and preparedness. With the continuous appearance of new SARS-CoV-2 variants, it is imperative to implement tools for genomic surveillance and diagnosis in order to decrease viral transmission and prev...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608664/ https://www.ncbi.nlm.nih.gov/pubmed/34963097 http://dx.doi.org/10.1016/j.diagmicrobio.2021.115606 |
_version_ | 1784602791212220416 |
---|---|
author | Castañeda-Mogollón, Daniel Kamaliddin, Claire Fine, Laura Oberding, Lisa K. Pillai, Dylan R. |
author_facet | Castañeda-Mogollón, Daniel Kamaliddin, Claire Fine, Laura Oberding, Lisa K. Pillai, Dylan R. |
author_sort | Castañeda-Mogollón, Daniel |
collection | PubMed |
description | The SARS-CoV-2 coronavirus pandemic has been an unprecedented challenge to global pandemic response and preparedness. With the continuous appearance of new SARS-CoV-2 variants, it is imperative to implement tools for genomic surveillance and diagnosis in order to decrease viral transmission and prevalence. The ADSSpike workflow was developed with the goal of identifying signature SNPs from the S gene associated with SARS-CoV-2 variants through amplicon deep sequencing. Seventy-two samples were sequenced, and 30 mutations were identified. Among those, signature SNPs were linked to 2 Zeta-VOI (P.2) samples and one to the Alpha-VOC (B.1.17). An average depth of 700 reads was found to properlycorrectly identify all SNPs and deletions pertinent to SARS-CoV-2 mutants. ADSSpike is the first workflow to provide a practical, cost-effective, and scalable solution to diagnose SARS-CoV-2 VOC/VOI in the clinical laboratory, adding a valuable tool to public health measures to fight the COVID-19 pandemic for approximately $41.85 USD/reaction. |
format | Online Article Text |
id | pubmed-8608664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86086642021-11-23 SARS-CoV-2 variant detection with ADSSpike Castañeda-Mogollón, Daniel Kamaliddin, Claire Fine, Laura Oberding, Lisa K. Pillai, Dylan R. Diagn Microbiol Infect Dis Article The SARS-CoV-2 coronavirus pandemic has been an unprecedented challenge to global pandemic response and preparedness. With the continuous appearance of new SARS-CoV-2 variants, it is imperative to implement tools for genomic surveillance and diagnosis in order to decrease viral transmission and prevalence. The ADSSpike workflow was developed with the goal of identifying signature SNPs from the S gene associated with SARS-CoV-2 variants through amplicon deep sequencing. Seventy-two samples were sequenced, and 30 mutations were identified. Among those, signature SNPs were linked to 2 Zeta-VOI (P.2) samples and one to the Alpha-VOC (B.1.17). An average depth of 700 reads was found to properlycorrectly identify all SNPs and deletions pertinent to SARS-CoV-2 mutants. ADSSpike is the first workflow to provide a practical, cost-effective, and scalable solution to diagnose SARS-CoV-2 VOC/VOI in the clinical laboratory, adding a valuable tool to public health measures to fight the COVID-19 pandemic for approximately $41.85 USD/reaction. The Author(s). Published by Elsevier Inc. 2022-03 2021-11-23 /pmc/articles/PMC8608664/ /pubmed/34963097 http://dx.doi.org/10.1016/j.diagmicrobio.2021.115606 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Castañeda-Mogollón, Daniel Kamaliddin, Claire Fine, Laura Oberding, Lisa K. Pillai, Dylan R. SARS-CoV-2 variant detection with ADSSpike |
title | SARS-CoV-2 variant detection with ADSSpike |
title_full | SARS-CoV-2 variant detection with ADSSpike |
title_fullStr | SARS-CoV-2 variant detection with ADSSpike |
title_full_unstemmed | SARS-CoV-2 variant detection with ADSSpike |
title_short | SARS-CoV-2 variant detection with ADSSpike |
title_sort | sars-cov-2 variant detection with adsspike |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608664/ https://www.ncbi.nlm.nih.gov/pubmed/34963097 http://dx.doi.org/10.1016/j.diagmicrobio.2021.115606 |
work_keys_str_mv | AT castanedamogollondaniel sarscov2variantdetectionwithadsspike AT kamaliddinclaire sarscov2variantdetectionwithadsspike AT finelaura sarscov2variantdetectionwithadsspike AT oberdinglisak sarscov2variantdetectionwithadsspike AT pillaidylanr sarscov2variantdetectionwithadsspike |