Evidence map›Paper›PMID 30240114›Full record

ArticleMolecular ecology resources2019

Using noninvasive metagenomics to characterize viral communities from wildlife.

Laura M Bergner, Richard J Orton, Ana da Silva Filipe, Andrew E Shaw, Daniel J Becker, Carlos Tello, Roman Biek, Daniel G Streicker

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
19.3field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

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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

8 authors at 4 institutions in 3 countries.

Laura M BergnerInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-4169-7169
Richard J OrtonInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
Ana da Silva FilipeMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
Andrew E ShawMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
Daniel J BeckerOdum School of Ecology, University of Georgia, Athens, Georgia.ORCID http://orcid.org/0000-0003-4315-8628
Carlos TelloAssociation for the Conservation, Development of Natural Resources, Lima, Peru.
Roman BiekInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-3471-5357
Daniel G StreickerInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
MRC University of Glasgow Centre for Virus Research · GBCONAPAC · PEUniversity of Georgia · USUniversity of Glasgow · GB

Funding

Medical Research Council MC_UU_12014/12Medical Research Council MC_UU_12014/8Sir Henry Dale Fellowship, jointly funded by the Wellcome Trust and Royal Society 102507/Z/13/ZWellcome-Beit Prize 102507/Z/13/AWellcome Trust
6 · The paper itself

Abstract

Microbial communities play an important role in organismal and ecosystem health. While high-throughput metabarcoding has revolutionized the study of bacterial communities, generating comparable viral communities has proven elusive, particularly in wildlife samples where the diversity of viruses and limited quantities of viral nucleic acid present distinctive challenges. Metagenomic sequencing is a promising solution for studying viral communities, but the lack of standardized methods currently precludes comparisons across host taxa or localities. Here, we developed an untargeted shotgun metagenomic sequencing protocol to generate comparable viral communities from noninvasively collected faecal and oropharyngeal swabs. Using samples from common vampire bats (Desmodus rotundus), a key species for virus transmission to humans and domestic animals, we tested how different storage media, nucleic acid extraction procedures and enrichment steps affect viral community detection. Based on finding viral contamination in foetal bovine serum, we recommend storing swabs in RNAlater or another nonbiological medium. We recommend extracting nucleic acid directly from swabs rather than from supernatant or pelleted material, which had undetectable levels of viral RNA. Results from a low-input RNA library preparation protocol suggest that ribosomal RNA depletion and light DNase treatment reduce host and bacterial nucleic acid, and improve virus detection. Finally, applying our approach to twelve pooled samples from seven localities in Peru, we showed that detected viral communities saturated at the attained sequencing depth, allowing unbiased comparisons of viral community composition. Future studies using the methods outlined here will elucidate the determinants of viral communities across host species, environments and time.

Indexed as

AnimalsBiodiversityChiropteraFecesMetagenomicsOropharynxPeruSequence Analysis, DNASpecimen HandlingVirus DiseasesVirusesDesmodus rotundusmicrobial communityshotgun metagenomicsvirome

Identifiers

PMID30240114
PMCPMC6378809
OpenAlexW2893082618

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.