Evidence map›Paper›PMID 32637955›Full record

ArticlebioRxiv : the preprint server for biology2020

Hidden genomic diversity of SARS-CoV-2: implications for qRT-PCR diagnostics and transmission.

Nicolae Sapoval, Medhat Mahmoud, Michael D Jochum, Yunxi Liu, R A Leo Elworth, Qi Wang, Dreycey Albin, Huw Ogilvie, Michael D Lee, Sonia Villapol and 10 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Nicolae SapovalDepartment of Computer Science, Rice University, Houston, TX, USA.
Medhat MahmoudHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Michael D JochumBaylor College of Medicine and Texas Children's Hospital, Houston, TX.
Yunxi LiuDepartment of Computer Science, Rice University, Houston, TX, USA.
R A Leo ElworthDepartment of Computer Science, Rice University, Houston, TX, USA.
Qi WangSystems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX.
Dreycey AlbinSystems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX.
Huw OgilvieDepartment of Computer Science, Rice University, Houston, TX, USA.
Michael D LeeExobiology Branch, NASA Ames Research Center, Mountain View, CA.
Sonia VillapolHouston Methodist Research Institute, Houston, TX.
Kyle M HernandezDepartment of Medicine, University of Chicago, Chicago, IL.
Irina Maljkovic BerryWalter Reed Army Institute of Research, Silver Spring, MD.
Jonathan FooxDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York.
Afshin BeheshtiKBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA.
Krista TernusSignature Science, LLC, 8329 North Mopac Expressway, Austin TX 78759.
Kjersti M AagaardBaylor College of Medicine and Texas Children's Hospital, Houston, TX.
David PosadaBiomedical Research Center (CINBIO), University of Vigo, 36310 Vigo, Spain.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York.
Fritz SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX.
Todd J TreangenDepartment of Computer Science, Rice University, Houston, TX, USA.

Funding

Viral Diversity and Pathogenicity in Mucosal Respiratory and Gastrointestinal DiseaseU19AI144297 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI ATMAR, ROBERT L. · 2019 to 2024
$30.1M
Source of the Placental MicrobiomeR01HD091731 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI AAGAARD, KJERSTI MARIE · 2017 to 2021
$3.4M
NIAID NIH HHS U19 AI144297NICHD NIH HHS R01 HD091731
6 · The paper itself

Abstract

The COVID-19 pandemic has sparked an urgent need to uncover the underlying biology of this devastating disease. Though RNA viruses mutate more rapidly than DNA viruses, there are a relatively small number of single nucleotide polymorphisms (SNPs) that differentiate the main SARS-CoV-2 clades that have spread throughout the world. In this study, we investigated over 7,000 SARS-CoV-2 datasets to unveil both intrahost and interhost diversity. Our intrahost and interhost diversity analyses yielded three major observations. First, the mutational profile of SARS-CoV-2 highlights iSNV and SNP similarity, albeit with high variability in C>T changes. Second, iSNV and SNP patterns in SARS-CoV-2 are more similar to MERS-CoV than SARS-CoV-1. Third, a significant fraction of small indels fuel the genetic diversity of SARS-CoV-2. Altogether, our findings provide insight into SARS-CoV-2 genomic diversity, inform the design of detection tests, and highlight the potential of iSNVs for tracking the transmission of SARS-CoV-2.

Identifiers

PMID32637955
PMCPMC7337385

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Registered trials

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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.