Evidence map›Paper›PMID 34917052›Full record

ArticleFrontiers in microbiology2021

Human and Animal RNA Virus Diversity Detected by Metagenomics in Cameroonian Clams.

Patrice Bonny, Julien Schaeffer, Alban Besnard, Marion Desdouits, Jean Justin Essia Ngang, Françoise S Le Guyader

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Comparison ofFrontiers in microbiology · 2023
    Article
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

6 authors at 2 institutions in 2 countries.

Patrice BonnyLaboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France.
Julien SchaefferLaboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France.
Alban BesnardLaboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France.
Marion DesdouitsLaboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France.
Jean Justin Essia NgangDépartement de Microbiologie, Université de Yaoundé I, Yaoundé, Cameroon.
Françoise S Le GuyaderLaboratoire de Microbiologie, LSEM/SG2M, Ifremer, Nantes, France.
Ifremer · FRUniversité de Yaoundé I · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many recent pandemics have been recognized as zoonotic viral diseases. While their origins remain frequently unknown, environmental contamination may play an important role in emergence. Thus, being able to describe the viral diversity in environmental samples contributes to understand the key issues in zoonotic transmission. This work describes the use of a metagenomic approach to assess the diversity of eukaryotic RNA viruses in river clams and identify sequences from human or potentially zoonotic viruses. Clam samples collected over 2years were first screened for the presence of norovirus to verify human contamination. Selected samples were analyzed using metagenomics, including a capture of sequences from viral families infecting vertebrates (VirCapSeq-VERT) before Illumina NovaSeq sequencing. The bioinformatics analysis included pooling of data from triplicates, quality filtering, elimination of bacterial and host sequences, and a deduplication step before

Indexed as

human enteric virusesmammal virusesmetagenomicsshellfishzoonosis

Identifiers

PMID34917052
PMCPMC8669915
OpenAlexW3215420521

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.