Literature DB >> 33983397

Rapid detection of inter-clade recombination in SARS-CoV-2 with Bolotie.

Ales Varabyou1,2, Christopher Pockrandt1,3, Steven L Salzberg1,2,3,4, Mihaela Pertea1,2,3.   

Abstract

The ability to detect recombination in pathogen genomes is crucial to the accuracy of phylogenetic analysis and consequently to forecasting the spread of infectious diseases and to developing therapeutics and public health policies. However, in case of the SARS-CoV-2, the low divergence of near-identical genomes sequenced over a short period of time makes conventional analysis infeasible. Using a novel method, we identified 225 anomalous SARS-CoV-2 genomes of likely recombinant origins out of the first 87,695 genomes to be released, several of which have persisted in the population. Bolotie is specifically designed to perform a rapid search for inter-clade recombination events over extremely large datasets, facilitating analysis of novel isolates in seconds. In cases where raw sequencing data were available, we were able to rule out the possibility that these samples represented co-infections by analyzing the underlying sequence reads. The Bolotie software and other data from our study are available at https://github.com/salzberg-lab/bolotie.
© The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; coronavirus; recombination

Mesh:

Year:  2021        PMID: 33983397      PMCID: PMC8194586          DOI: 10.1093/genetics/iyab074

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  25 in total

1.  Genomic evidence for divergent co-infections of co-circulating SARS-CoV-2 lineages.

Authors:  Hang-Yu Zhou; Ye-Xiao Cheng; Lin Xu; Jia-Ying Li; Chen-Yue Tao; Cheng-Yang Ji; Na Han; Rong Yang; Hui Wu; Yaling Li; Aiping Wu
Journal:  Comput Struct Biotechnol J       Date:  2022-07-28       Impact factor: 6.155

Review 2.  Recombination in Coronaviruses, with a Focus on SARS-CoV-2.

Authors:  Daniele Focosi; Fabrizio Maggi
Journal:  Viruses       Date:  2022-06-07       Impact factor: 5.818

3.  A Bayesian approach to infer recombination patterns in coronaviruses.

Authors:  Nicola F Müller; Kathryn E Kistler; Trevor Bedford
Journal:  Nat Commun       Date:  2022-07-20       Impact factor: 17.694

Review 4.  HIV-1 and SARS-CoV-2: Patterns in the evolution of two pandemic pathogens.

Authors:  Will Fischer; Elena E Giorgi; Srirupa Chakraborty; Kien Nguyen; Tanmoy Bhattacharya; James Theiler; Pablo A Goloboff; Hyejin Yoon; Werner Abfalterer; Brian T Foley; Houriiyah Tegally; James Emmanuel San; Tulio de Oliveira; Sandrasegaram Gnanakaran; Bette Korber
Journal:  Cell Host Microbe       Date:  2021-06-03       Impact factor: 31.316

5.  Spreading of a new SARS-CoV-2 N501Y spike variant in a new lineage.

Authors:  Philippe Colson; Anthony Levasseur; Jeremy Delerce; Lucile Pinault; Pierre Dudouet; Christian Devaux; Pierre-Edouard Fournier; Bernard La Scola; Jean-Christophe Lagier; Didier Raoult
Journal:  Clin Microbiol Infect       Date:  2021-05-12       Impact factor: 13.310

Review 6.  Neutralising antibody escape of SARS-CoV-2 spike protein: Risk assessment for antibody-based Covid-19 therapeutics and vaccines.

Authors:  Daniele Focosi; Fabrizio Maggi
Journal:  Rev Med Virol       Date:  2021-03-16       Impact factor: 11.043

7.  SARS-CoV-2 Delta-Omicron Recombinant Viruses, United States.

Authors:  Kristine A Lacek; Benjamin L Rambo-Martin; Dhwani Batra; Xiao-Yu Zheng; Norman Hassell; Hitoshi Sakaguchi; Thomas Peacock; Natalie Groves; Matthew Keller; Malania M Wilson; Mili Sheth; Morgan L Davis; Mark Borroughs; Jonathan Gerhart; Samuel S Shepard; Peter W Cook; Justin Lee; David E Wentworth; John R Barnes; Rebecca Kondor; Clinton R Paden
Journal:  Emerg Infect Dis       Date:  2022-05-12       Impact factor: 16.126

8.  The effect of spike mutations on SARS-CoV-2 neutralization.

Authors:  Chloe Rees-Spear; Luke Muir; Sarah A Griffith; Judith Heaney; Yoann Aldon; Jonne L Snitselaar; Peter Thomas; Carl Graham; Jeffrey Seow; Nayung Lee; Annachiara Rosa; Chloe Roustan; Catherine F Houlihan; Rogier W Sanders; Ravindra K Gupta; Peter Cherepanov; Hans J Stauss; Eleni Nastouli; Katie J Doores; Marit J van Gils; Laura E McCoy
Journal:  Cell Rep       Date:  2021-03-06       Impact factor: 9.423

9.  Recombination patterns in coronaviruses.

Authors:  Nicola F Müller; Kathryn E Kistler; Trevor Bedford
Journal:  bioRxiv       Date:  2022-02-08

10.  Study on SARS-CoV-2 strains in Iran reveals potential contribution of co-infection with and recombination between different strains to the emergence of new strains.

Authors:  Peyman Taghizadeh; Sadegh Salehi; Ali Heshmati; Seyed Massoud Houshmand; Kolsoum InanlooRahatloo; Forouzandeh Mahjoubi; Mohammad Hossein Sanati; Hadi Yari; Afagh Alavi; Saeid Amel Jamehdar; Soroosh Dabiri; Hamid Galehdari; Mohammad Reza Haghshenas; Amir Masoud Hashemian; Abtin Heidarzadeh; Issa Jahanzad; Elham Kheyrani; Ahmad Piroozmand; Ali Mojtahedi; Hadi Razavi Nikoo; Mohammad Masoud Rahimi Bidgoli; Nayebali Rezvani; Mehdi Sepehrnejad; Arash Shakibzadeh; Gholamreza Shariati; Noorossadat Seyyedi; Seyed MohammadSaleh Zahraei; Iman Safari; Elahe Elahi
Journal:  Virology       Date:  2021-06-19       Impact factor: 3.513

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