UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Identification of evolutionary trajectories shared across human betacoronaviruses

Escalera-Zamudio, Marina; Kosakovsky Pond, Sergei L; Martínez de la Viña, Natalia; Gutiérrez, Bernardo; Inward, Rhys PD; Thézé, Julien; van Dorp, Lucy; ... Hulswit, Ruben JG; + view all (2023) Identification of evolutionary trajectories shared across human betacoronaviruses. Genome Biology and Evolution , Article evad076. 10.1093/gbe/evad076. (In press). Green open access

[thumbnail of van Dorp_Identification of evolutionary trajectories shared across human betacoronaviruses_AAM.pdf]
Preview
Text
van Dorp_Identification of evolutionary trajectories shared across human betacoronaviruses_AAM.pdf - Accepted Version

Download (973kB) | Preview

Abstract

Comparing the evolution of distantly related viruses can provide insights into common adaptive processes related to shared ecological niches. Phylogenetic approaches, coupled with other molecular evolution tools, can help identify mutations informative on adaptation, whilst the structural contextualization of these to functional sites of proteins may help gain insight into their biological properties. Two zoonotic betacoronaviruses capable of sustained human-to-human transmission have caused pandemics in recent times (SARS-CoV-1 and SARS-CoV-2), whilst a third virus (MERS-CoV) is responsible for sporadic outbreaks linked to animal infections. Moreover, two other betacoronaviruses have circulated endemically in humans for decades (HKU1 and OC43). To search for evidence of adaptive convergence between established and emerging betacoronaviruses capable of sustained human-to-human transmission (HKU1, OC43, SARS-CoV-1 and SARS-CoV-2), we developed a methodological pipeline to classify shared non-synonymous mutations as putatively denoting homoplasy (repeated mutations that do not share direct common ancestry) or stepwise evolution (sequential mutations leading towards a novel genotype). In parallel, we look for evidence of positive selection, and draw upon protein structure data to identify potential biological implications. We find 30 candidate mutations, from which four [codon sites 18121 (nsp14/residue 28), 21623 (spike/21), 21635 (spike/25) and 23948 (spike/796); SARS-CoV-2 genome numbering] further display evolution under positive selection and proximity to functional protein regions. Our findings shed light on potential mechanisms underlying betacoronavirus adaptation to the human host and pinpoint common mutational pathways that may occur during establishment of human endemicity.

Type: Article
Title: Identification of evolutionary trajectories shared across human betacoronaviruses
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/gbe/evad076
Publisher version: https://doi.org/10.1093/gbe/evad076
Language: English
Additional information: © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Adaptation, Betacoronaviruses, Convergence, Molecular Evolution, Phylogenomics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10171376
Downloads since deposit
864Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item