Evidence map›Paper›PMID 30648011›Full record

ArticlePeerJ2019

Diverse and variable virus communities in wild plant populations revealed by metagenomic tools.

Hanna Susi, Denis Filloux, Mikko J Frilander, Philippe Roumagnac, Anna-Liisa Laine

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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

5 authors.

Hanna SusiResearch Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Finland.
Denis FillouxCIRAD, BGPI, Montpellier, France.
Mikko J FrilanderInstitute of Biotechnology, Genome Biology Program, University of Helsinki, Finland.
Philippe RoumagnacCIRAD, BGPI, Montpellier, France.
Anna-Liisa LaineResearch Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild plant populations may harbour a myriad of unknown viruses. As the majority of research efforts have targeted economically important plant species, the diversity and prevalence of viruses in the wild has remained largely unknown. However, the recent shift towards metagenomics-based sequencing methodologies, especially those targeting small RNAs, is finally enabling virus discovery from wild hosts. Understanding this diversity of potentially pathogenic microbes in the wild can offer insights into the components of natural biodiversity that promotes long-term coexistence between hosts and parasites in nature, and help predict when and where risks of disease emergence are highest. Here, we used small RNA deep sequencing to identify viruses in

Indexed as

BetapartitivirusCaulimovirusClosterovirusEnamovirusEpidemiologyLandscapeMetagenomicsPathogensPlantago lanceolata latent virusSmall RNA

Identifiers

PMID30648011
PMCPMC6330959

What OpenQuestion holds

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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.