Evidence map›Paper›PMID 39205161›Full record

ArticleViruses2024

Exploring Canine Picornavirus Diversity in the USA Using Wastewater Surveillance: From High-Throughput Genomic Sequencing to Immuno-Informatics and Capsid Structure Modeling.

Temitope O C Faleye, Peter Skidmore, Amir Elyaderani, Sangeet Adhikari, Nicole Kaiser, Abriana Smith, Allan Yanez, Tyler Perleberg, Erin M Driver, Rolf U Halden and 2 more

Abstract read
In one paragraph

Article in Viruses, 2024. 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

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

12 authors.

Temitope O C FaleyeBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Peter SkidmoreCollege of Health Solutions, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0003-1051-5051
Amir ElyaderaniCollege of Health Solutions, Arizona State University, Tempe, AZ 85287, USA.
Sangeet AdhikariBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0002-2137-4939
Nicole KaiserCollege of Health Solutions, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0002-3289-1835
Abriana SmithCollege of Health Solutions, Arizona State University, Tempe, AZ 85287, USA.
Allan YanezBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Tyler PerlebergBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Erin M DriverBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0001-9675-9764
Rolf U HaldenBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.
Arvind VarsaniBiodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0003-4111-2415
Matthew ScotchBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0001-5100-9724

Funding

Bioinformatics Framework for Wastewater-based Surveillance of Infectious DiseasesU01LM013129 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HALDEN, ROLF U, SCOTCH, MATTHEW · 2020 to 2022
$3.3M
NLM NIH HHS U01 LM013129
6 · The paper itself

Abstract

The SARS-CoV-2 pandemic resulted in a scale-up of viral genomic surveillance globally. However, the wet lab constraints (economic, infrastructural, and personnel) of translating novel virus variant sequence information to meaningful immunological and structural insights that are valuable for the development of broadly acting countermeasures (especially for emerging and re-emerging viruses) remain a challenge in many resource-limited settings. Here, we describe a workflow that couples wastewater surveillance, high-throughput sequencing, phylogenetics, immuno-informatics, and virus capsid structure modeling for the genotype-to-serotype characterization of uncultivated picornavirus sequences identified in wastewater. Specifically, we analyzed canine picornaviruses (CanPVs), which are uncultivated and yet-to-be-assigned members of the family

Indexed as

High-Throughput Nucleotide SequencingPhylogenyPicornaviridaeWastewaterAnimalsCapsidCapsid ProteinsDog DiseasesDogsGenetic VariationGenome, ViralGenotypePicornaviridae InfectionsUnited StatesCapsid ProteinsWastewatergenotype-to-serotype predictionimmuno-informaticsPicornaviridaevirus capsid structure predictionwastewater targeted sequencing

Identifiers

PMID39205161
PMCPMC11359023

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.