Evidence map›Paper›PMID 37020110›Full record

ReviewNature reviews. Microbiology2023

The evolution of SARS-CoV-2.

Peter V Markov, Mahan Ghafari, Martin Beer, Katrina Lythgoe, Peter Simmonds, Nikolaos I Stilianakis, Aris Katzourakis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 711 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
711citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

711 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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651 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Peter V MarkovEuropean Commission, Joint Research Centre (JRC), Ispra, Italy. peter.markov@lshtm.ac.uk.ORCID 0009-0008-4483-8338
Mahan GhafariBig Data Institute, University of Oxford, Oxford, UK.
Martin BeerInstitute of Diagnostic Virology, Friedrich-Loeffler-Institut, Insel Riems, Germany.ORCID 0000-0002-0598-5254
Katrina LythgoeBig Data Institute, University of Oxford, Oxford, UK.
Peter SimmondsNuffield Department of Medicine, University of Oxford, Oxford, UK.
Nikolaos I StilianakisEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.ORCID 0000-0002-3808-265X
Aris KatzourakisDepartment of Biology, University of Oxford, Oxford, UK. aris.katzourakis@biology.ox.ac.uk.ORCID 0000-0003-3328-6204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of deaths and substantial morbidity worldwide. Intense scientific effort to understand the biology of SARS-CoV-2 has resulted in daunting numbers of genomic sequences. We witnessed evolutionary events that could mostly be inferred indirectly before, such as the emergence of variants with distinct phenotypes, for example transmissibility, severity and immune evasion. This Review explores the mechanisms that generate genetic variation in SARS-CoV-2, underlying the within-host and population-level processes that underpin these events. We examine the selective forces that likely drove the evolution of higher transmissibility and, in some cases, higher severity during the first year of the pandemic and the role of antigenic evolution during the second and third years, together with the implications of immune escape and reinfections, and the increasing evidence for and potential relevance of recombination. In order to understand how major lineages, such as variants of concern (VOCs), are generated, we contrast the evidence for the chronic infection model underlying the emergence of VOCs with the possibility of an animal reservoir playing a role in SARS-CoV-2 evolution, and conclude that the former is more likely. We evaluate uncertainties and outline scenarios for the possible future evolutionary trajectories of SARS-CoV-2.

Indexed as

COVID-19AnimalsGenomicsImmune EvasionPandemicsSARS-CoV-2

Identifiers

What OpenQuestion holds

Textmetadata
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.