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Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity

Overview of attention for article published in Frontiers in Microbiology, November 2020
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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16 X users

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89 Mendeley
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Title
Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity
Published in
Frontiers in Microbiology, November 2020
DOI 10.3389/fmicb.2020.594928
Pubmed ID
Authors

Sunil Raghav, Arup Ghosh, Jyotirmayee Turuk, Sugandh Kumar, Atimukta Jha, Swati Madhulika, Manasi Priyadarshini, Viplov K. Biswas, P. Sushree Shyamli, Bharati Singh, Neha Singh, Deepika Singh, Ankita Datey, Kiran Avula, Shuchi Smita, Jyotsnamayee Sabat, Debdutta Bhattacharya, Jaya Singh Kshatri, Dileep Vasudevan, Amol Suryawanshi, Rupesh Dash, Shantibhushan Senapati, Tushar K. Beuria, Rajeeb Swain, Soma Chattopadhyay, Gulam Hussain Syed, Anshuman Dixit, Punit Prasad, Odisha COVID-19 Study Group, ILS COVID-19 Team, Sanghamitra Pati, Ajay Parida, Arvind Kumar Singh, Baijayantimala Mishra, Banajini Parida, Binod Kumar Patro, D. P. Dogra, Dasarathi Das, Deepa Prasad, Dhaneswari Jena, Dharitri Mohapatra, Dinesh Prasad Sahu, Durga Madhab Satapathy, Durgesh Prasad Sahoo, Jayanta Panda, Jaya Singh Khatri, Kaushik Mishra, Manoranjan Satpathy, Nirupama Chaini, Roma Rattan, Sadhu Panda, Sangeeta Das, Somen Kumar Pradhan, Srikanta Kanungo, Sriprasad Mohanty, Subrata Kumar Palo, Aditi Chatterjee, Adyasha Mishra, Ajit Kumar Singh, Amrita Ray, Ankita Datey, Aliva Minz, Ashish Yadav, Auromira Khuntia, Anshuman Dixit, Debyashreeta Barik, Deepak Singh, Eshna Laha, Hiren G. Dodia, Jeky Chawla, Kautilya Jena, Kaushik Sen, Niyati Das, Omprakash Shriwas, P. M. Vaishali, Parej Nath, Paritosh Nath, Prabhudutta Mamidi, Priyanka Mohapatra, Rahul Das, Rina Yadav, Sachikanta Rout, Saikat De, Sanchari Chatterjee, Sandhya Suranjika, Satyaranjan Sahoo, Shamima Ansari, Shifu Aggarwal, Shiva Pradhan, Sivaram Krishna, Sneha Dutta, Soumendu Mahapatra, Soumyajit Gosh, Subhabrata Barik, Sudhir Boral, Supriya Suman Keshry, Swatismita Priyadarshini, Tsheten Sherpa

Abstract

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has emerged as a global pandemic worldwide. In this study, we used ARTIC primers-based amplicon sequencing to profile 225 SARS-CoV-2 genomes from India. Phylogenetic analysis of 202 high-quality assemblies identified the presence of all the five reported clades 19A, 19B, 20A, 20B, and 20C in the population. The analyses revealed Europe and Southeast Asia as two major routes for introduction of the disease in India followed by local transmission. Interestingly, the19B clade was found to be more prevalent in our sequenced genomes (17%) compared to other genomes reported so far from India. Haplotype network analysis showed evolution of 19A and 19B clades in parallel from predominantly Gujarat state in India, suggesting it to be one of the major routes of disease transmission in India during the months of March and April, whereas 20B and 20C appeared to evolve from 20A. At the same time, 20A and 20B clades depicted prevalence of four common mutations 241 C > T in 5' UTR, P4715L, F942F along with D614G in the Spike protein. D614G mutation has been reported to increase virus shedding and infectivity. Our molecular modeling and docking analysis identified that D614G mutation resulted in enhanced affinity of Spike S1-S2 hinge region with TMPRSS2 protease, possibly the reason for increased shedding of S1 domain in G614 as compared to D614. Moreover, we also observed an increased concordance of G614 mutation with the viral load, as evident from decreased Ct value of Spike and the ORF1ab gene.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 16%
Student > Ph. D. Student 11 12%
Student > Master 7 8%
Student > Postgraduate 6 7%
Student > Bachelor 6 7%
Other 18 20%
Unknown 27 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 20%
Medicine and Dentistry 8 9%
Agricultural and Biological Sciences 7 8%
Immunology and Microbiology 6 7%
Chemistry 3 3%
Other 21 24%
Unknown 26 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2020.
All research outputs
#4,353,725
of 24,138,997 outputs
Outputs from Frontiers in Microbiology
#4,270
of 27,197 outputs
Outputs of similar age
#112,397
of 514,875 outputs
Outputs of similar age from Frontiers in Microbiology
#123
of 865 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,197 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 514,875 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 865 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.