Robust and efficient software for reference‐free genomic diversity analysis of GBS data on diploid and polyploid species

Author(s):  
Andrea Parra‐Salazar ◽  
Jorge Gomez ◽  
Daniela Lozano‐Arce ◽  
Paula H. Reyes‐Herrera ◽  
Jorge Duitama
2019 ◽  
Vol 9 ◽  
Author(s):  
Quanhui Liang ◽  
Xiaoyuan Jiang ◽  
Lingfei Hu ◽  
Zhe Yin ◽  
Bo Gao ◽  
...  

2020 ◽  
Author(s):  
Nzungize Lambert ◽  
Ndishimye Pacifique ◽  
Fathiah Zakham

COVID-19 (Coronavirus disease 2019) is an emerging pneumonia-like respiratory disease of humans and is recently spreading across the globe. To analyze the genome sequence of SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2) isolated from Rwanda with other viral strains from African countries. We downloaded 75 genomes sequences of clinical SARS-CoV-2 from the GISAID (global initiative on sharing all influenza data) database and we comprehensively analyzed these SARS-CoV-2 genomes sequences alongside with Wuhan SARS-CoV-2 sequences as the reference strains. We analyzed 75 genomes sequences of SARS-CoV-2 isolated in different African countries including 10 samples of SARS-CoV-2 isolated in Rwanda between July and August 2020. The phylogenetic analysis of the genome sequence of SARS-CoV-2 revealed a strong identity with reference strains between 90-95%. We identified a missense mutation in four proteins including orf1ab polyprotein, NSP2, 2'-O-ribose methyltransferase and orf1a polyprotein. The most common changes in the base are C > T. We also found that all clinically SARS-CoV-2 isolated from Rwanda had genomes belonging to clade G and lineage B.1. Tracking the genetic evolution of SARS-CoV-2 over time is important to understand viral evolution pathogenesis. These findings may help to implement public health measures in curbing COVID-19 in Rwanda.


mBio ◽  
2021 ◽  
Author(s):  
Paula Ruiz-Rodriguez ◽  
Clara Francés-Gómez ◽  
Álvaro Chiner-Oms ◽  
Mariana G. López ◽  
Santiago Jiménez-Serrano ◽  
...  

We observed repeated, independent emergence of mutations in the SARS-CoV-2 spike involving amino acids 1163 and 1167, within the HR2 functional motif. Conclusions derived from evolutionary and genomic diversity analysis suggest that the co-occurrence of both mutations might pose an advantage for the virus and therefore a threat to effective control of the epidemic.


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