Abstract

Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) is the gold standard method for SARS-CoV-2 detection, and several qRT-PCR kits have been established targeting different genes of the virus. Due to the high mutation rate of these genes, false negative results arise thus complicating the interpretation of the diagnosis and increasing the need of alternative targets. In this study, an alternative approach for the detection of SARS-CoV-2 viral RNA targeting the membrane (M) gene of the virus using qRT-PCR was described. Performance evaluation of this newly developed in-house assay against commercial qRT-PCR kits was done using clinical oropharyngeal specimens of COVID-19 positive patients. The limit of detection was determined using successive dilutions of known copies of SARS-CoV-2 pseudovirus. The M gene based assay was able to detect a minimum of 100 copies of virus/mL indicating its capacity to detect low viral load. The assay showed comparable accuracy, sensitivity and specificity with commercially available kits while detecting all the variants efficiently. The study concluded that the in-house M gene based assay might be an effective alternative for the currently available commercial qRT-PCR kits.

Details

Title
M gene targeted qRT-PCR approach for SARS-CoV-2 virus detection
Author
Sarkar, Md. Murshed Hasan 1 ; Naser, Showti Raheel 1 ; Chowdhury, Sanjana Fatema 1 ; Khan, Md. Salim 1 ; Habib, Md. Ahashan 1 ; Akter, Shahina 1 ; Banu, Tanjina Akhtar 1 ; Goswami, Barna 1 ; Jahan, Iffat 1 ; Nayem, Maksudur Rahman 2 ; Hassan, Md. Akibul 2 ; Khan, Md. Imran 2 ; Rabbi, Mohammad Fazle Alam 3 ; Ahsan, Chowdhury Rafiqul 4 ; Miah, Md. Ibrahim 4 ; Nessa, Afzalun 5 ; Islam, S. M. Rashed Ul 5 ; Rahman, Mohammed Atiqur 5 ; Shaikh, Md. Aftab Ali 6 ; Ahmed, Md. Sharfuddin 5 

 Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh (GRID:grid.466521.2) (ISNI:0000 0001 2034 6517) 
 DNA Solution Ltd., Dhaka, Bangladesh (GRID:grid.466521.2) 
 DNA Solution Ltd., Dhaka, Bangladesh (GRID:grid.466521.2); University of Dhaka, Dhaka, Bangladesh (GRID:grid.8198.8) (ISNI:0000 0001 1498 6059) 
 University of Dhaka, Dhaka, Bangladesh (GRID:grid.8198.8) (ISNI:0000 0001 1498 6059) 
 Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh (GRID:grid.411509.8) (ISNI:0000 0001 2034 9320) 
 Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh (GRID:grid.466521.2) (ISNI:0000 0001 2034 6517); University of Dhaka, Dhaka, Bangladesh (GRID:grid.8198.8) (ISNI:0000 0001 1498 6059) 
Pages
16659
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2871985833
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.