Evidence map›Paper›PMID 31879573›Full record

ArticlePeerJ2019

Benchmarking protocols for the metagenomic analysis of stream biofilm viromes.

Meriem Bekliz, Jade Brandani, Massimo Bourquin, Tom J Battin, Hannes Peter

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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 at 1 institution in 1 country.

Meriem BeklizStream Biofilm and Ecosystem Research Laboratory, École Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Jade BrandaniStream Biofilm and Ecosystem Research Laboratory, École Polytechnique Federale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-0435-1807
Massimo BourquinStream Biofilm and Ecosystem Research Laboratory, École Polytechnique Federale de Lausanne, Lausanne, Switzerland.ORCID 0000-0003-4187-7485
Tom J BattinStream Biofilm and Ecosystem Research Laboratory, École Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Hannes PeterStream Biofilm and Ecosystem Research Laboratory, École Polytechnique Federale de Lausanne, Lausanne, Switzerland.
École Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses drive microbial diversity, function and evolution and influence important biogeochemical cycles in aquatic ecosystems. Despite their relevance, we currently lack an understanding of their potential impacts on stream biofilm structure and function. This is surprising given the critical role of biofilms for stream ecosystem processes. Currently, the study of viruses in stream biofilms is hindered by the lack of an optimized protocol for their extraction, concentration and purification. Here, we evaluate a range of methods to separate viral particles from stream biofilms, and to concentrate and purify them prior to DNA extraction and metagenome sequencing. Based on epifluorescence microscopy counts of viral-like particles (VLP) and DNA yields, we optimize a protocol including treatment with tetrasodium pyrophosphate and ultra-sonication to disintegrate biofilms, tangential-flow filtration to extract and concentrate VLP, followed by ultracentrifugation in a sucrose density gradient to isolate VLP from the biofilm slurry. Viromes derived from biofilms sampled from three different streams were dominated by

Indexed as

PhageStream biofilmTangential flow filtrationUltracentrifugationViral metagenomics

Identifiers

PMID31879573
PMCPMC6927355
OpenAlexW2969654078

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.