Evidence map›Paper›PMID 34898980›Full record

ArticleEvolutionary bioinformatics online2021

Evolutionary Dynamics of Indels in SARS-CoV-2 Spike Glycoprotein.

R Shyama Prasad Rao, Nagib Ahsan, Chunhui Xu, Lingtao Su, Jacob Verburgt, Luca Fornelli, Daisuke Kihara, Dong Xu

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

R Shyama Prasad RaoBiostatistics and Bioinformatics Division, Yenepoya Research Center, Yenepoya University, Mangaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-2285-6788
Nagib AhsanDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA.
Chunhui XuDepartment of Electrical Engineering and Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
Lingtao SuDepartment of Electrical Engineering and Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
Jacob VerburgtDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Luca FornelliDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA.
Daisuke KiharaDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Dong XuDepartment of Electrical Engineering and Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
University of Missouri · USPurdue University West Lafayette · USUniversity of Oklahoma · USYenepoya University · IN

Funding

Multi-view self-supervised deep learning for biological sequences and beyondR35GM126985 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI DONG XU · 2018 to 2026
$3.8M
Purdue University Molecular Biophysics Training ProgramT32GM132024 · NIGMS · PURDUE UNIVERSITY · PI Angeline Marie Lyon, John Tesmer · 2019 to 2026
$2.0M
Building protein structure models for intermediate resolution cryo-electron microscopy mapsR01GM133840 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2020 to 2023
$1.6M
Structural Modeling of Multifarious Protein ComplexesR01GM123055 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM123055NIGMS NIH HHS R01 GM133840NIGMS NIH HHS R35 GM126985NIGMS NIH HHS T32 GM132024
6 · The paper itself

Abstract

SARS-CoV-2, responsible for the current COVID-19 pandemic that claimed over 5.0 million lives, belongs to a class of enveloped viruses that undergo quick evolutionary adjustments under selection pressure. Numerous variants have emerged in SARS-CoV-2, posing a serious challenge to the global vaccination effort and COVID-19 management. The evolutionary dynamics of this virus are only beginning to be explored. In this work, we have analysed 1.79 million spike glycoprotein sequences of SARS-CoV-2 and found that the virus is fine-tuning the spike with numerous amino acid insertions and deletions (indels). Indels seem to have a selective advantage as the proportions of sequences with indels steadily increased over time, currently at over 89%, with similar trends across countries/variants. There were as many as 420 unique indel positions and 447 unique combinations of indels. Despite their high frequency, indels resulted in only minimal alteration of N-glycosylation sites, including both gain and loss. As indels and point mutations are positively correlated and sequences with indels have significantly more point mutations, they have implications in the evolutionary dynamics of the SARS-CoV-2 spike glycoprotein.

Indexed as

Computational proteomicsCOVID-19indelsmolecular evolutionN-glycosylation sitesSARS-CoV-2selectionsequence analysis

Identifiers

PMID34898980
PMCPMC8655444
OpenAlexW4226239006

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.