Evidence map›Paper›PMID 33791702›Full record

ArticlebioRxiv : the preprint server for biology2021

Characterisation of B.1.1.7 and Pangolin coronavirus spike provides insights on the evolutionary trajectory of SARS-CoV-2.

Samuel J Dicken, Matthew J Murray, Lucy G Thorne, Ann-Kathrin Reuschl, Calum Forrest, Maaroothen Ganeshalingham, Luke Muir, Mphatso D Kalemera, Machaela Palor, Laura E McCoy and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
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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

14 authors at 1 institution in 1 country.

Samuel J DickenDivision of Infection and Immunity, University College London, UK.
Matthew J MurrayDivision of Infection and Immunity, University College London, UK.
Lucy G ThorneDivision of Infection and Immunity, University College London, UK.
Ann-Kathrin ReuschlDivision of Infection and Immunity, University College London, UK.
Calum ForrestDivision of Infection and Immunity, University College London, UK.
Maaroothen GaneshalinghamDivision of Infection and Immunity, University College London, UK.
Luke MuirDivision of Infection and Immunity, University College London, UK.
Mphatso D KalemeraDivision of Infection and Immunity, University College London, UK.
Machaela PalorDivision of Infection and Immunity, University College London, UK.
Laura E McCoyDivision of Infection and Immunity, University College London, UK.
Clare JollyDivision of Infection and Immunity, University College London, UK.
Greg J TowersDivision of Infection and Immunity, University College London, UK.
Matthew B ReevesDivision of Infection and Immunity, University College London, UK.
Joe GroveDivision of Infection and Immunity, University College London, UK.
University College London · GB

Funding

Medical Research Council MR/R021384/1Wellcome Trust 204870/Z/16/Z
6 · The paper itself

Abstract

The recent emergence of SARS-CoV-2 variants with increased transmission, pathogenesis and immune resistance has jeopardised the global response to the COVID-19 pandemic. Determining the fundamental biology of viral variants and understanding their evolutionary trajectories will guide current mitigation measures, future genetic surveillance and vaccination strategies. Here we examine virus entry by the B.1.1.7 lineage, commonly referred to as the UK/Kent variant. Pseudovirus infection of model cell lines demonstrate that B.1.1.7 entry is enhanced relative to the Wuhan-Hu-1 reference strain, particularly under low expression of receptor ACE2. Moreover, the entry characteristics of B.1.1.7 were distinct from that of its predecessor strain containing the D614G mutation. These data suggest evolutionary tuning of spike protein function. Additionally, we found that amino acid deletions within the N-terminal domain (NTD) of spike were important for efficient entry by B.1.1.7. The NTD is a hotspot of diversity across sarbecoviruses, therefore, we further investigated this region by examining the entry of closely related CoVs. Surprisingly, Pangolin CoV spike entry was 50-100 fold enhanced relative to SARS-CoV-2; suggesting there may be evolutionary pathways by which SARSCoV-2 may further optimise entry. Swapping the NTD between Pangolin CoV and SARS-CoV-2 demonstrates that changes in this region alone have the capacity to enhance virus entry. Thus, the NTD plays a hitherto unrecognised role in modulating spike activity, warranting further investigation and surveillance of NTD mutations.

Indexed as

sarbecovirusesSARS-CoV-2 variantsspike proteinvirus entry

Identifiers

PMID33791702
PMCPMC8010729
OpenAlexW3136142795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.