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Article

Modular Evolution of Coronavirus Genomes

1
Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, 119435 Moscow, Russia
2
Department of Virology, Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia
3
Laboratory of Molecular Biology and Biochemistry, Institute of Molecular Medicine, Sechenov First Moscow State Medical University, 119435 Moscow, Russia
4
Institute of Virology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany
5
German Centre for Infection Research (DZIF), Associated Partner Site Charité, 10117 Berlin, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Joana Abrantes
Viruses 2021, 13(7), 1270; https://doi.org/10.3390/v13071270
Received: 24 May 2021 / Revised: 22 June 2021 / Accepted: 23 June 2021 / Published: 29 June 2021
(This article belongs to the Special Issue Recombination as an Evolutionary Force in Animal Viruses)
The viral family Coronaviridae comprises four genera, termed Alpha-, Beta-, Gamma-, and Deltacoronavirus. Recombination events have been described in many coronaviruses infecting humans and other animals. However, formal analysis of the recombination patterns, both in terms of the involved genome regions and the extent of genetic divergence between partners, are scarce. Common methods of recombination detection based on phylogenetic incongruences (e.g., a phylogenetic compatibility matrix) may fail in cases where too many events diminish the phylogenetic signal. Thus, an approach comparing genetic distances in distinct genome regions (pairwise distance deviation matrix) was set up. In alpha, beta, and delta-coronaviruses, a low incidence of recombination between closely related viruses was evident in all genome regions, but it was more extensive between the spike gene and other genome regions. In contrast, avian gammacoronaviruses recombined extensively and exist as a global cloud of genes with poorly corresponding genetic distances in different parts of the genome. Spike, but not other structural proteins, was most commonly exchanged between coronaviruses. Recombination patterns differed between coronavirus genera and corresponded to the modular structure of the spike: recombination traces were more pronounced between spike domains (N-terminal and C-terminal parts of S1 and S2) than within domains. The variability of possible recombination events and their uneven distribution over the genome suggest that compatibility of genes, rather than mechanistic or ecological limitations, shapes recombination patterns in coronaviruses. View Full-Text
Keywords: coronavirus; evolution; recombination; spike coronavirus; evolution; recombination; spike
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MDPI and ACS Style

Vakulenko, Y.; Deviatkin, A.; Drexler, J.F.; Lukashev, A. Modular Evolution of Coronavirus Genomes. Viruses 2021, 13, 1270. https://doi.org/10.3390/v13071270

AMA Style

Vakulenko Y, Deviatkin A, Drexler JF, Lukashev A. Modular Evolution of Coronavirus Genomes. Viruses. 2021; 13(7):1270. https://doi.org/10.3390/v13071270

Chicago/Turabian Style

Vakulenko, Yulia, Andrei Deviatkin, Jan Felix Drexler, and Alexander Lukashev. 2021. "Modular Evolution of Coronavirus Genomes" Viruses 13, no. 7: 1270. https://doi.org/10.3390/v13071270

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