Evidence map›Paper›PMID 32522874›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses.

Ayal B Gussow, Noam Auslander, Guilhem Faure, Yuri I Wolf, Feng Zhang, Eugene V Koonin

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

156 citing papers in PubMed, 249 citations in OpenAlex.

  1. Potency ofThe Kobe journal of medical sciences · 2026
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96 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ayal B GussowNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894.ORCID 0000-0002-0142-6084
Noam AuslanderNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894; noam.auslander@nih.gov koonin@ncbi.nlm.nih.gov.
Guilhem FaureBroad Institute of MIT and Harvard, Cambridge, MA 02142.
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894.
Feng ZhangBroad Institute of MIT and Harvard, Cambridge, MA 02142.
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894; noam.auslander@nih.gov koonin@ncbi.nlm.nih.gov.ORCID 0000-0003-3943-8299
National Institutes of Health · USBroad Institute · US

Funding

Exploration of Diverse Mobile Genetic Elements for Precision Genome ManipulationDP1HL141201 · NHLBI · BROAD INSTITUTE, INC. · PI ZHANG, FENG · 2017 to 2021
$6.2M
Massively-parallel functional interrogation of psychiatric geneticsR01MH110049 · NIMH · BROAD INSTITUTE, INC. · PI ZHANG, FENG · 2015 to 2019
$5.5M
Howard Hughes Medical InstituteNHLBI NIH HHS DP1 HL141201NIMH NIH HHS R01 MH110049
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses an immediate, major threat to public health across the globe. Here we report an in-depth molecular analysis to reconstruct the evolutionary origins of the enhanced pathogenicity of SARS-CoV-2 and other coronaviruses that are severe human pathogens. Using integrated comparative genomics and machine learning techniques, we identify key genomic features that differentiate SARS-CoV-2 and the viruses behind the two previous deadly coronavirus outbreaks, SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), from less pathogenic coronaviruses. These features include enhancement of the nuclear localization signals in the nucleocapsid protein and distinct inserts in the spike glycoprotein that appear to be associated with high case fatality rate of these coronaviruses as well as the host switch from animals to humans. The identified features could be crucial contributors to coronavirus pathogenicity and possible targets for diagnostics, prognostication, and interventions.

Indexed as

Evolution, MolecularGenome, ViralAnimalsBetacoronavirusHost SpecificityHumansMachine LearningMiddle East Respiratory Syndrome CoronavirusMutagenesis, InsertionalNuclear Localization SignalsNucleocapsid ProteinsPhylogenySARS-CoV-2Sequence HomologySpike Glycoprotein, CoronavirusVirulenceNuclear Localization SignalsNucleocapsid ProteinsSpike Glycoprotein, CoronaviruscoronavirusesCOVID-19nucleocapsidpathogenicityspike protein

Identifiers

PMID32522874
PMCPMC7334499
OpenAlexW3033543779

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.