Page 102 - Annual report 2021-22
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Annual Report 2021-22 |






               Rajesh Pandey

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               Rajesh  Pandey’s  lab  has  been  at  the  forefront  of  SARS-CoV2  genomic  surveillance  in  India.  By
               partnering with relevant agencies such as National Centre for Disease Control (NCDC), India the Indian-
               state specific Integrated Disease Surveillance Programme (IDSP), their efforts have led to highlighting
               the penetrance of the B.1.1.617 and its sub-lineages of B.1.1.617.1/B.1.1.617.2 and B.1.1.617.3 across
               different states and Union Territories (UT) of India. Before the B.1.1.617 prominence in India, the same
               strategy of pro-active genomic surveillance helped tracking of the B.1.1.7 lineage in India. Their lab’s
               goal has been to identify mutations underlying the SARS-CoV-2 genomes which will have possible
               functional role in evolving variants of concern (VOC) and variant of interest (VOI). To achieve this goal,
               penetration of genomics technologies to far and remote locales would be important. The concept of
               MicroLabs, based on the pillars of 3S plus Sample cost (4S = Scale, Speed, Sensitivity, Sample cost) was
               set  up  as  a  target  for  Pandemic  Preparedness.  Pilot  project  towards  mobile  sequencing  was
               successfully implemented at the Delhi Airport wherein it was used for Variants of Concern (VOC)
               screening for the RT-PCR positive international travellers. Three MicroLabs were set up with focus on,
               Rural population of Haryana, MDU-Rohtak, Biggest swath of population in the biggest state of India,
               Uttar Pradesh, CSIR-CDRI, North-eastern region of India, Assam, CSIR-NEIST. Of the current goal of
               sequencing 3000 samples, the MicroLabs have been functional now at all the 3 sites after sequencing
               and Genomics training of the requisite manpower to implement the genomic surveillance, aligning
               with the global standards. The inherent in this is the data sharing of the SARS-CoV-2 sequences in the
               global repository, GISAID. To take this forward, the networking with the clinical partners and public
               health officials is critical. This has been done by all the MicroLab partners and the samples are flowing
               to these labs for priority sequencing.
               Emergence of SARS-CoV-2 VOCs at different time points through COVID-19 pandemic raised concern
               for increased transmissibility, infectivity and vaccination breakthroughs. 1567 international travellers
               plus community transmission COVID-19 cases were analysed for mutational profile of VOCS, that led
               to  notable  waves  in  India,  namely  Alpha,  Delta,  and  Omicron.  Spike  mutations  in  Linkage
               Disequilibrium were investigated for potential impact on structural and functional changes of Spike-
               ACE2. ORF1ab and spike harboured diverse mutational signatures for each lineage. B.1.617.2 and AY.
               * demonstrated comparable profile, yet non-clade defining mutations were majorly unique between
               international vs community samples. Contrarily, Omicron lineages showed substantial overlap in non-
               clade defining mutations, signifying the early phase of transmission and evolution within the Indian
               community. Mutations in LD for Alpha [N501Y, A570D, D1118H, S982A], Delta [P681R, L452R, EFR:156-
               158G,  D950N,  G142D]  and  Omicron  [P681H,  D796Y,  N764K,  N969K,  N501Y,  S375F]  resulted  in
               decreased  binding  affinity  of  Spike-ACE2  for  Alpha  and  BA.1  whereas  Delta,  Omicron  and  BA.2
               demonstrated strong binding. Genomic surveillance tracked spread of VOCs in international travellers'
               vs  community  transmission.  Behavioural  transmission  patterns  of  variants,  based  on  selective
               advantage incurred by spike mutations, led us to predict sudden takeover of Delta over Alpha and
               BA.2 over BA.1 in India.
               His  lab  is  focussing  on  clinic-genomic  analysis  aims  to  identify  mutations  associated  with  disease
               severity  and  outcome.  The  Single  Cell  Genomics  based  approach  in  clinically  defined  COVID-19
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