Literature DB >> 33497425

Isolating SARS-CoV-2 Strains From Countries in the Same Meridian: Genome Evolutionary Analysis.

Emilio Mastriani1,2, Alexey V Rakov3, Shu-Lin Liu1,2,4.   

Abstract

BACKGROUND: COVID-19, caused by the novel SARS-CoV-2, is considered the most threatening respiratory infection in the world, with over 40 million people infected and over 0.934 million related deaths reported worldwide. It is speculated that epidemiological and clinical features of COVID-19 may differ across countries or continents. Genomic comparison of 48,635 SARS-CoV-2 genomes has shown that the average number of mutations per sample was 7.23, and most SARS-CoV-2 strains belong to one of 3 clades characterized by geographic and genomic specificity: Europe, Asia, and North America.
OBJECTIVE: The aim of this study was to compare the genomes of SARS-CoV-2 strains isolated from Italy, Sweden, and Congo, that is, 3 different countries in the same meridian (longitude) but with different climate conditions, and from Brazil (as an outgroup country), to analyze similarities or differences in patterns of possible evolutionary pressure signatures in their genomes.
METHODS: We obtained data from the Global Initiative on Sharing All Influenza Data repository by sampling all genomes available on that date. Using HyPhy, we achieved the recombination analysis by genetic algorithm recombination detection method, trimming, removal of the stop codons, and phylogenetic tree and mixed effects model of evolution analyses. We also performed secondary structure prediction analysis for both sequences (mutated and wild-type) and "disorder" and "transmembrane" analyses of the protein. We analyzed both protein structures with an ab initio approach to predict their ontologies and 3D structures.
RESULTS: Evolutionary analysis revealed that codon 9628 is under episodic selective pressure for all SARS-CoV-2 strains isolated from the 4 countries, suggesting it is a key site for virus evolution. Codon 9628 encodes the P0DTD3 (Y14_SARS2) uncharacterized protein 14. Further investigation showed that the codon mutation was responsible for helical modification in the secondary structure. The codon was positioned in the more ordered region of the gene (41-59) and near to the area acting as the transmembrane (54-67), suggesting its involvement in the attachment phase of the virus. The predicted protein structures of both wild-type and mutated P0DTD3 confirmed the importance of the codon to define the protein structure. Moreover, ontological analysis of the protein emphasized that the mutation enhances the binding probability.
CONCLUSIONS: Our results suggest that RNA secondary structure may be affected and, consequently, the protein product changes T (threonine) to G (glycine) in position 50 of the protein. This position is located close to the predicted transmembrane region. Mutation analysis revealed that the change from G (glycine) to D (aspartic acid) may confer a new function to the protein-binding activity, which in turn may be responsible for attaching the virus to human eukaryotic cells. These findings can help design in vitro experiments and possibly facilitate a vaccine design and successful antiviral strategies. ©Emilio Mastriani, Alexey V Rakov, Shu-Lin Liu. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 22.01.2021.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; binding probability; codon; codon mutation; episodic selective pressure; evolution; evolutionary analysis; genetics; genome; mutation; prediction; pressure; protein; strain; structure; virus; virus evolution

Year:  2021        PMID: 33497425      PMCID: PMC7837406          DOI: 10.2196/25995

Source DB:  PubMed          Journal:  JMIR Bioinform Biotech        ISSN: 2563-3570


  27 in total

1.  ExPASy: The proteomics server for in-depth protein knowledge and analysis.

Authors:  Elisabeth Gasteiger; Alexandre Gattiker; Christine Hoogland; Ivan Ivanyi; Ron D Appel; Amos Bairoch
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Protein structure prediction and analysis using the Robetta server.

Authors:  David E Kim; Dylan Chivian; David Baker
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  ViennaRNA Package 2.0.

Authors:  Ronny Lorenz; Stephan H Bernhart; Christian Höner Zu Siederdissen; Hakim Tafer; Christoph Flamm; Peter F Stadler; Ivo L Hofacker
Journal:  Algorithms Mol Biol       Date:  2011-11-24       Impact factor: 1.405

4.  Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses.

Authors:  Ayal B Gussow; Noam Auslander; Guilhem Faure; Yuri I Wolf; Feng Zhang; Eugene V Koonin
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-10       Impact factor: 11.205

5.  Genome-wide analysis of SARS-CoV-2 virus strains circulating worldwide implicates heterogeneity.

Authors:  M Rafiul Islam; M Nazmul Hoque; M Shaminur Rahman; A S M Rubayet Ul Alam; Masuda Akther; J Akter Puspo; Salma Akter; Munawar Sultana; Keith A Crandall; M Anwar Hossain
Journal:  Sci Rep       Date:  2020-08-19       Impact factor: 4.379

6.  Phylogenetic network analysis of SARS-CoV-2 genomes.

Authors:  Peter Forster; Lucy Forster; Colin Renfrew; Michael Forster
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-08       Impact factor: 11.205

Review 7.  Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: Structural genomics approach.

Authors:  Ahmad Abu Turab Naqvi; Kisa Fatima; Taj Mohammad; Urooj Fatima; Indrakant K Singh; Archana Singh; Shaikh Muhammad Atif; Gururao Hariprasad; Gulam Mustafa Hasan; Md Imtaiyaz Hassan
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2020-06-13       Impact factor: 5.187

8.  COVID-19 vaccines: early success and remaining challenges.

Authors:  Naor Bar-Zeev; Tom Inglesby
Journal:  Lancet       Date:  2020-09-04       Impact factor: 79.321

9.  Genomic characterization of a novel SARS-CoV-2.

Authors:  Rozhgar A Khailany; Muhamad Safdar; Mehmet Ozaslan
Journal:  Gene Rep       Date:  2020-04-16
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  3 in total

1.  Cross-neutralization of RBD mutant strains of SARS-CoV-2 by convalescent patient derived antibodies.

Authors:  Yan Lou; Wenxiang Zhao; Haitao Wei; Min Chu; Ruihua Chao; Hangping Yao; Junwei Su; Yanan Li; Xiulan Li; Yu Cao; Yanyan Feng; Ping Wang; Yongyang Xia; Yushuan Shang; Fengping Li; Pingju Ge; Xinglin Zhang; Wenjing Gao; Gaojie Song; Bing Du; Tingbo Liang; Yunqing Qiu; Mingyao Liu
Journal:  Biotechnol J       Date:  2021-08-22       Impact factor: 5.726

2.  In Silico Comparative Analysis of the Functional, Structural, and Evolutionary Properties of SARS-CoV-2 Variant Spike Proteins.

Authors:  Renukaradhya K Math; Nayana Mudennavar; Palaksha Kanive Javaregowda; Ambuja Savanur
Journal:  JMIR Bioinform Biotech       Date:  2022-05-30

Review 3.  One year into the pandemic: Short-term evolution of SARS-CoV-2 and emergence of new lineages.

Authors:  Fernando González-Candelas; Marie-Anne Shaw; Tung Phan; Urmila Kulkarni-Kale; Dimitrios Paraskevis; Fabio Luciani; Hirokazu Kimura; Manuela Sironi
Journal:  Infect Genet Evol       Date:  2021-04-26       Impact factor: 4.393

  3 in total

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