Evidence map›Paper›PMID 37220645›Full record

ArticleGenome biology and evolution2023

Identification of Evolutionary Trajectories Shared across Human Betacoronaviruses.

Marina Escalera-Zamudio, Sergei L Kosakovsky Pond, Natalia Martínez de la Viña, Bernardo Gutiérrez, Rhys P D Inward, Julien Thézé, Lucy van Dorp, Hugo G Castelán-Sánchez, Thomas A Bowden, Oliver G Pybus and 1 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 5 countries.

Marina Escalera-ZamudioDepartment of Biology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-4773-2773
Sergei L Kosakovsky PondDepartment of Biology, Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA.ORCID 0000-0003-4817-4029
Natalia Martínez de la ViñaDepartment of Biology, University of Oxford, Oxford, United Kingdom.
Bernardo GutiérrezDepartment of Biology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-9220-2739
Rhys P D InwardDepartment of Biology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0016-661X
Julien ThézéEpidemiology of Animal and Zoonotic Diseases, UMR 0346, INRAE, VetAgroSup, Saint-Gènes-Champanelle, France.ORCID 0000-0001-8188-9494
Lucy van DorpDepartment of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London, United Kingdom.ORCID 0000-0002-6211-2310
Hugo G Castelán-SánchezConsorcio Mexicano de Vigilancia Genómica (CoViGen-Mex), Mexico City, Mexico.ORCID 0000-0002-4763-0267
Thomas A BowdenDivision of Structural Biology, Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8066-8785
Oliver G PybusDepartment of Biology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8797-2667
Ruben J G HulswitDivision of Structural Biology, Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-7518-5538
University of Oxford · GBCentre for Human Genetics · GBInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRRoyal Veterinary College · GBSecretaría de Ciencia, Humanidades, Tecnología e Innovación · MXTemple University · USUniversity College London · GB

Funding

Medical Research Council MR/S007555/1Wellcome Trust 203141/Z/16/Z
6 · The paper itself

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, although 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), although 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 nonsynonymous 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 4 (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.

Indexed as

COVID-19Middle East Respiratory Syndrome CoronavirusAnimalsHumansMutationPhylogenySARS-CoV-2adaptationbetacoronavirusesconvergencemolecular evolutionphylogenomics

Identifiers

PMID37220645
PMCPMC10282123
OpenAlexW4377861169

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.