De-novo Assembly of RaTG13 Genome Reveals Inconsistencies Further Obscuring SARS-CoV-2 Origins

Author(s):  
Mohit Singla ◽  
Saad Ahmad ◽  
Chandan Gupta ◽  
Tavpritesh Sethi

An intense scientific debate is ongoing as to the origin of SARS-CoV-2. An oft-cited piece of information in this debate is the genome sequence of a bat coronavirus strain referred to as RaTG13 1 mentioned in a recent Nature paper 2 showing 96.2% genome homology with SARS-CoV-2. This is discussed as a fossil record of a strain whose current existence is unknown. The said strain is conjectured by many to have been part of the ancestral pool from which SARS-CoV-2 may have evolved 7, 8, 9. Multiple groups have been discussing the features of the genome sequence of the said strain. In this paper, we report that the currently specified level of details are grossly insufficient to draw inferences about the origin of SARS-CoV-2. De-novo assembly, KRONA analysis for metagenomic and re-examining data quality highlights the key issues with the RaTG13 genome and the need for a dispassionate review of this data. This work is a call to action for the scientific community to better collate scientific evidence about the origins of SARS-CoV-2 so that future incidence of such pandemics may be effectively mitigated.

Author(s):  
Sabyasachi Mukherjee ◽  
Zexi Cai ◽  
Anupama Mukherjee ◽  
Imsusosang Longkumer ◽  
Moonmoon Mech ◽  
...  

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Sabyasachi Mukherjee ◽  
Zexi Cai ◽  
Anupama Mukherjee ◽  
Imsusosang Longkumer ◽  
Moonmoon Mech ◽  
...  

2018 ◽  
Vol 6 (11) ◽  
Author(s):  
Khawla Seddiki ◽  
François Godart ◽  
Riccardo Aiese Cigliano ◽  
Walter Sanseverino ◽  
Mohamed Barakat ◽  
...  

ABSTRACT Thraustochytrids are ecologically and biotechnologically relevant marine species. We report here the de novo assembly and annotation of the whole-genome sequence of a new thraustochytrid strain, CCAP_4062/3. The genome size was estimated at 38.7 Mb with 11,853 predicted coding sequences, and the GC content was scored at 57%.


2016 ◽  
Vol 28 ◽  
pp. 33-35 ◽  
Author(s):  
Wah-Seng See-Too ◽  
Jia Yi Tan ◽  
Robson Ee ◽  
Yan-Lue Lim ◽  
Peter Convey ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document