Genomic surveillance of SARS-CoV-2 by sequencing the RBD region using Sanger sequencing from North Kerala

使用桑格测序法对北喀拉拉邦的 RBD 区域进行测序,对 SARS-CoV-2 进行基因组监测

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作者:Dhananjayan Dhanasooraj, Prasanth Viswanathan, Shammy Saphia, Beena Philomina Jose, Fairoz Cheriyalingal Parambath, Saritha Sivadas, N P Akash, T V Vimisha, Priyanka Raveendranadhan Nair, Anuja Mohan, Nimin Hafeez, Jayesh Kumar Poovullathi, Shameer Vadekkandiyil, Sajeeth Kumar Keriyatt Govindan, Raj

Abstract

Next Generation Sequencing (NGS) is the gold standard for the detection of new variants of SARS-CoV-2 including those which have immune escape properties, high infectivity, and variable severity. This test is helpful in genomic surveillance, for planning appropriate and timely public health interventions. But labs with NGS facilities are not available in small or medium research settings due to the high cost of setting up such a facility. Transportation of samples from many places to few centers for NGS testing also produces delays due to transportation and sample overload leading in turn to delays in patient management and community interventions. This becomes more important for patients traveling from hotspot regions or those suspected of harboring a new variant. Another major issue is the high cost of NGS-based tests. Thus, it may not be a good option for an economically viable surveillance program requiring immediate result generation and patient follow-up. The current study used a cost-effective facility which can be set up in a common research lab and which is replicable in similar centers with expertise in Sanger nucleotide sequencing. More samples can be processed at a time and can generate the results in a maximum of 2 days (1 day for a 24 h working lab). We analyzed the nucleotide sequence of the Receptor Binding Domain (RBD) region of SARS-CoV-2 by the Sanger sequencing using in-house developed methods. The SARS-CoV-2 variant surveillance was done during the period of March 2021 to May 2022 in the Northern region of Kerala, a state in India with a population of 36.4 million, for implementing appropriate timely interventions. Our findings broadly agree with those from elsewhere in India and other countries during the period.

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