Evidence map›Paper›PMID 35132417›Full record

ArticlebioRxiv : the preprint server for biology2022

Detection and Interspecies Comparison of SARS-CoV-2 Delta Variant (AY.3) in Feces from a Domestic Cat and Human Samples.

Olivia C Lenz, Andrew D Marques, Brendan J Kelly, Kyle G Rodino, Stephen D Cole, Ranawaka A P M Perera, Susan R Weiss, Frederic D Bushman, Elizabeth M Lennon

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2022. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 2 countries.

Olivia C LenzDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA, USA.
Andrew D MarquesDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104.
Brendan J KellyDivision of Infectious Diseases; Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics; Perelman School of Medicine, University of Pennsylvania, 731 Blockley Hall Philadelphia, PA 19104.
Kyle G RodinoDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Stephen D ColeDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA, USA.
Ranawaka A P M PereraDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104.
Susan R WeissDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104.
Frederic D BushmanDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104.
Elizabeth M LennonDepartment of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA, USA.
University of Pennsylvania · USOffice of Infectious Diseases · US

Funding

MERS coronavirus: antagonism of double-stranded RNA induced host response by accessory proteinsR01AI140442 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Susan R Weiss · 2018 to 2026
$5.1M
The Lung DNA Virome in Health and DiseaseR33HL137063 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D, COLLMAN, RONALD G · 2019 to 2021
$2.3M
Longitudinal analysis of respiratory tract microbiome change and sequence-based infection diagnosis during mechanical ventilationK23AI121485 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI KELLY, BRENDAN JOSEPH · 2016 to 2020
$965k
The Lung DNA Virome in Health and DiseaseR61HL137063 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D, COLLMAN, RONALD G · 2017 to 2018
$605k
NHLBI NIH HHS R33 HL137063NHLBI NIH HHS R61 HL137063NIAID NIH HHS K23 AI121485NIAID NIH HHS R01 AI140442
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have spilled over from humans to companion and wild animals since the inception of the global COVID-19 pandemic. However, whole genome sequencing data of the viral genomes that infect non-human animal species has been scant. Here, we detected and sequenced a SARS-CoV-2 delta variant (AY.3) in fecal samples from an 11-year-old domestic house cat previously exposed to an owner who tested positive for SARS-CoV-2. Molecular testing of two fecal samples collected 7 days apart yielded relatively high levels of viral RNA. Sequencing of the feline-derived viral genomes showed the two to be identical, and differing by between 4 and 14 single nucleotide polymorphisms in pairwise comparisons to human-derived lineage AY.3 sequences collected in the same geographic area and time period. However, several mutations unique to the feline samples reveal their divergence from this cohort on phylogenetic analysis. These results demonstrate continued spillover infections of emerging SARS-CoV-2 variants that threaten human and animal health, as well as highlight the importance of collecting fecal samples when testing for SARS-CoV-2 in animals. To the authors' knowledge, this is the first published case of a SARS-CoV-2 delta variant in a domestic cat in the United States.

Indexed as

AY.3catscoronavirusCOVID-19delta variantfecesfelineOne HealthSARS-CoV-2whole genome sequencing

Identifiers

PMID35132417
PMCPMC8820664
OpenAlexW4210794954

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.