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Research Article | Volume 14 Issue: 3 (May-Jun, 2024) | Pages 12 - 18
A Study on sequencing and mutational analysis of the SARS-COV-2 in and around costal Andhra in a Tertiary care hospital
 ,
 ,
 ,
1
Professor & HOD, Department of Microbiology, Guntur Medical College, Guntur – 522004, Andhra Pradesh, India
2
Associate professor, Department of Microbiology, Guntur Medical College, Guntur – 522004.
3
Assistant professor, Department of Microbiology, Guntur Medical College, Guntur – 522004, Andhra Pradesh, India.
4
Sceintist – C, VRDL laboratory, Department of Microbiology, Guntur Medical College, Guntur
Under a Creative Commons license
Open Access
DOI : 10.5083/ejcm
Received
March 11, 2024
Revised
March 19, 2024
Accepted
May 2, 2024
Published
May 11, 2024
Abstract

Background: The SARS-CoV-2 Omicron variant was first recorded in South Africa on November 24th, 2021, and was assigned as a variant of concern (VOC) within two days by the World Health Organization (WHO). Despite vaccine development and vaccination programs underway around the globe severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) variant Omicron (B.1.1.529) has ushered panic responses around the world due to its contagious and vaccine escape mutations. The focus is the mutations on the S protein receptor-binding domain (RBD) for the potential impact on infectivity and antibody resistance caused by this new variant. This is due to the fact that the RBD located on the S protein facilitates the binding between the S protein and the host angiotensin-converting enzyme 2 (ACE2). Aim & Objectives: The present study aims to determine the variants of omicron by genomic sequence. Materials and Methods: A retrospective study was conducted at State level Viral Research Diagnostic Laboratory (VRDL) in Department of Microbiology, Guntur Medical College, Guntur for a period of 8 months. 519 RT-PCR positive RNA extracted samples were analyzed by Next clade and CT values of <30 was processed by Illumina COVID seq assay. Results: Out of 519 samples, Females were 52% and Males were 48 %. Hospitalized were 62% and quarantined were 38%. Mean age for females were 28 yrs and males were 31 yrs. CT value ranged from 10 to 30 processed of which CT value of 16-20 were 36.8% followed by 21-25 were 31.2%. All 519 samples were omicron positive and by Next Clade analyzes it showed in order of prevalence 21L omicron - 40.26%, 22 B omicron-24%, 22 D omicron – 20.2%, lowest prevalence is 21B Kappa, 21J Delta, 21K Omicron 22C omicron - 0.19%. Conclusion: Omicron variant (B.1.1.529) of SARS COV-2 is a global pandemic. By analyzing, the gene sequencing 40.26% were 21L omicron subvariant followed by 22 B omicron was 24% 22D Omicron was 20.2% in this region. Phylogenetic analysis suggest that omicron is related to gamma variant (P.1). It is atleast 3 times more infectious than the original SARS COV -2. Sequencing helps in determing the extact rate of transmission and severity of this VOC (including the symptoms) and the treatment available.

Keywords
INTRODUCTION

SARS-COV 2 responsible for global pandemic, there has been a continuous evolution in the SARS-CoV-2 genome since it was first reported, particularly in the S-gene. It is necessary to monitor the shifts in the SARS-CoV-2 variants. Genome sequencing has emerged as one of the widely used approaches to understand the genetic epidemiology of SARS-CoV-2. The variant Omicron (B.1.1.529) first case was reported on 11 NOV 2021 at Bostwana and it spreads worldwide. WHO designated it as a Variant of concern (VOC) on 26 NOV 2021. In, INDIA first case was reported in Kerala on 12th DEC 2021. SARS COV-2 is a RNA virus of 30 kb nucleotides that encodes 29 proteins, 23 of them localized in spike protein which bound to mutate and the efforts should be aimed for prevention. In Omicron, 30 mutations occurred in the Spike protein that leading to reduced affinity of antibody binding to S- protein and is 10 times more contagious and has higher chance of reinfection in those who had COVID -19 disease. The mutations on the Omicron variant are widely distributed on multiple proteins of SARS-CoV-2 such as NSP3, NSP4, NSP5, NSP6, NSP12, NSP14, S protein, envelope protein, membrane protein, and nucleocapsid protein. The focus is the mutations on the S protein receptor-binding domain (RBD) for the potential impact on infectivity and antibody resistance caused by this new variant. This is due to the fact that the RBD located on the S protein facilitates the binding between the S protein and the host angiotensin-converting enzyme 2 (ACE2). Though previous VoCs emerged in which natural immunity from COVID-19 infections was common but in this, VoC which has emerged at a time when vaccine immunity is increasing in the world. Omicron has reduced vaccine effectiveness against infection to 33% from 80% for Delta. By PCR, “S” genes dropout or “S” genes failure was observed, hence Sequencing was introduced.

MATERIALS AND METHODS

Retrospective study was conducted at State level Viral Research Diagnostic Laboratory  (VRDL) in Department of Microbiology, Guntur Medical College, Guntur. Institutional Ethical committee approval was taken before the commencement of the study.

Study period: 8 months

Sample size & type: 519, RT PCR positive COVID 19 samples

STUDY PROCEDURE: A total of 519 covid-19 Positive samples were selected for sequencing with cycle threshold, CT<30.

In short, viral nucleic acid was extracted using the QIAamp viral RNA mini kit – Manual extraction procedure column based procedure.

  • After extraction of RNA, Extracted RNA reaches the Sample preparation room. First strand cDNA synthesis was done using the Go Script reverse transcriptase system by using Elution Prime Fragment 3HC Mix, First stand mix and Reverse Transcriptase.
  • Enrichment was done using COVIDSeq illumina PCR Mix, COVIDSeq primer pool 1 and 2 (CPP1 and CPP2, respectively).
  • The library was prepared using Illumina COVIDSeq assay kit according to guidelines by using Tagmentation buffer1, Enrichment BLT and Nuclease free water.
  • After that post tagmentation clean up was done by using Tagmentation wash buffer and stop Tagment buffer 2
  • Then done pool up & clean up the libraries from Tag1 Plate.
  • Prepared libraries were purified and pooled and then quantified with a Qubit double-stranded DNA (dsDNA) high-sensitivity (HS) assay kit.
  • Libraries were normalized to a 4 nM concentration.
  • Pooled normalized libraries were denatured and finally diluted to a 1.2 nM concentration according to the Illumina Miniseq system denature and dilute libraries.
  • The libraries were then loaded and run on an Illumina MiniSeq instrument following the standard protocol for 150-bp paired-end reads.
  • DRAGEN COVID Lineage app v3.5.8 was used to process and assemble the raw reads as well as for variant calling and lineage determination.
  • Finally confirmed results again with ICMR NIV Pune - bioinformatics team
RESULTS

Out of 519 samples , Females were 52% and Males were 48 %. Hospitalized were 62% and quarantined were 38%. Mean age for females were 28 yrs and males were 31 yrs. CT value ranged from 10 to 30 processed of which CT value of 16-20 were 36.8% followed by 21-25 were 31.2% . All 519 samples were omicron positive and  by Next Clade analyzes it showed in order of prevalence 21L omicron -40.26%, 22 B omicron-24%, 22 D omicron – 20.2%, lowest prevalence is 21B Kappa, 21J Delta, 21K Omicron 22C omicron - 0.19%.

 

 

Fig 1.Gender Distribution

 

AGE GROUP

MALE

FEMALE

Below 15 yrs

15

13

16 -30 yrs

77

128

31 -45 yrs

81

59

46 -60 yrs

59

46

Above 60 yrs

19

22

Total

251

268

Table 1 : Age group and gender wise distribution of samples

 

 

 

 

 

Table 2 : ORF1ab gene CT value wise distribution of samples

CT value Range

Percentage (n)

10 – 15

16%      (n=83)

16 – 20

36.8%    (n=191)

21 – 25

31.2%     (n=162)

26 – 30

16%      (n=83)

 

 

 

 

Table 3 : NEXT CLADE analysis

Omicron Varinat

Percentage

21L omicron

40.26%  (n=209)

22B omicron

24%   (n=125)

22 D omicron

20.2%   (n=105)

23B unassigned  omicron

9.6% (n=50)

22F omicron

3% (N=16)

22A omicron

0.5%  (n=3)

21J  Delta

0.19% (n=1)

21B  kappa

0.19% (n=1)

Above table represents the Variants of Concern (VOCs) that have been identified from different samples. The majority of the Variants of Concern (VOCs) detected in this study were found to be mutants of OMICRON-21L Omicron (40.26%) and its subvariants, as well as BA2 and BA.5.2.1, BA5.2.

DISCUSSION

In order to decrease the spread of pandemic it is very important to identify which VOC is prevalent and responsible for highest mortality and morbidity, and to take health care preventive measures. In VRDL laboratory of Guntur Medical College, Guntur, the whole genomes are sequenced in Covid positive samples with CT value of < 30, to identify different mutational variants.

As per materials and methods mentioned above the Covid positive samples of CT value <30 was processed for extraction of RNA by QIA ampviral RNA minikit.

These are sequenced using an Illumina MiSeq instrument and detected different VOC, pipelines were used to process files, using Next Clade pipelines. total 519 samples were sequenced; Females were 52% and Males were 48 %. Hospitalized were 62% and quarantined were 38%. Mean age for females were 28 yrs and males were 31 yrs. CT value ranged from 10 to 30 processed of which CT value of 16-20 were 36.8% followed by 21-25 were 31.2% . All 519 samples were omicron positive and by Next Clade analyzes it showed in order of prevalence 21L omicron -40.26%, 22 B omicron-24%, 22 D omicron – 20.2%, lowest prevalence is 21B Kappa, 21J Delta, 21K Omicron 22C omicron - 0.19%. The majority of the Variants of Concern (VOCs) detected in this study were found to be mutants of OMICRON-21L Omicron (40.26%) and its subvariants, as well as BA2 and BA.5.2.1, BA5.2.

CONCLUSION
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