Evidence map›Paper›PMID 32046783›Full record

ArticleMicrobiome2020

Uncovering a hidden diversity: optimized protocols for the extraction of dsDNA bacteriophages from soil.

Pauline C Göller, Jose M Haro-Moreno, Francisco Rodriguez-Valera, Martin J Loessner, Elena Gómez-Sanz

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.3field-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

35 citing papers in PubMed, 100 citations in OpenAlex.

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  6. DNA Viral Size Fraction Metagenomics for Human Stool Samples.Journal of visualized experiments : JoVE · 2026
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  11. Recovering new viruses from New Mexico soils.Microbiology resource announcements · 2025
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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 at 2 institutions in 3 countries.

Pauline C GöllerInstitute of Food, Nutrition and Health, ETH Zurich, 8092, Zurich, Switzerland.
Jose M Haro-MorenoDepartamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Francisco Rodriguez-ValeraDepartamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Martin J LoessnerInstitute of Food, Nutrition and Health, ETH Zurich, 8092, Zurich, Switzerland.
Elena Gómez-SanzInstitute of Food, Nutrition and Health, ETH Zurich, 8092, Zurich, Switzerland. elena.gomez@hest.ethz.ch.ORCID 0000-0001-7666-3642
ETH Zurich · CHUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacteriophages (phages) are the most numerous biological entities on Earth and play a crucial role in shaping microbial communities. Investigating the bacteriophage community from soil will shed light not only on the yet largely unknown phage diversity, but may also result in novel insights towards their functioning in the global biogeochemical nutrient cycle and their significance in earthbound ecosystems. Unfortunately, information about soil viromes is rather scarce compared to aquatic environments, due to the heterogeneous soil matrix, which rises major technical difficulties in the extraction process. Resolving these technical challenges and establishing a standardized extraction protocol is, therefore, a fundamental prerequisite for replicable results and comparative virome studies.

resultsWe here report the optimization of protocols for the extraction of phage DNA from agricultural soil preceding metagenomic analysis such that the protocol can equally be harnessed for phage isolation. As an optimization strategy, soil samples were spiked with Listeria phage A511 (Myovirus), Staphylococcus phage 2638AΔLCR (Siphovirus) and Escherichia phage T7 (Podovirus) (each 10

conclusionWe have shown a considerably enhanced extraction of the soil phage community by protocol optimization that has proven robust in both culture-dependent as well as through viromic analyses. Our huge data set of manually curated soil viral contigs substantially increases the amount of currently available soil virome data, and provides insights into the yet largely undescribed soil viral sequence space.

Indexed as

Soil MicrobiologyBacteriophagesDNA, ViralGenome, ViralHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsMolecular BiologyRNA, Double-StrandedSequence Analysis, DNAVirologyDNA, ViralRNA, Double-StrandedBacterial contaminationBacteriophage extractionPhage viromeSoil samplesSpike-in

Identifiers

PMID32046783
PMCPMC7014677
OpenAlexW3007907023

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.