Evidence map›Paper›PMID 41874177›Full record

ArticleMicrobiology spectrum2026

SS-VIME: a single-source virome-microbiome extraction protocol toward comprehensive soil community analysis.

Abdonaser Poursalavati, Isabelle Laforest-Lapointe, Mamadou Lamine Fall

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Abdonaser PoursalavatiSaint-Jean-sur-Richelieu Research and Development Centre, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, Quebec, Canada.ORCID 0000-0002-6238-6012
Isabelle Laforest-LapointeCentre SÈVE, Department of Biology, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
Mamadou Lamine FallSaint-Jean-sur-Richelieu Research and Development Centre, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, Quebec, Canada.ORCID 0000-0002-1747-6481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrated analysis of soil microbiomes and their associated viromes is critical for understanding ecosystem function, yet is hampered by the profound spatial heterogeneity of soil, which introduces significant bias when using separate extraction workflows and/or subsampling strategies to capture fungal, bacterial, and viral communities. Here, we present single-source extraction for unified soil virome-microbiome profiling (SS-VIME), a protocol that overcomes this limitation. Based on extended cellulose column chromatography, this method sequentially elutes distinct DNA and double-stranded RNA (dsRNA) fractions from a single soil lysate. We validated the protocol using sterilized soil co-spiked with a ZymoBIOMICS microbial community standard and a synthetic viral dsRNA fragment. Sequencing confirmed that the DNA fraction accurately recovered the theoretical bacterial (16S rRNA gene) and fungal (ITS) community profiles, while the dsRNA fraction demonstrated highly specific recovery of the target viral signature. The protocol was then successfully applied to characterize the complex native communities in environmental soil samples. The SS-VIME protocol provides a streamlined approach for isolating high-quality nucleic acids suitable for downstream applications. By using dsRNA as a proxy for viral activity and eliminating subsample bias, this method provides a robust, accessible, and unified platform to investigate virus-host dynamics

Indexed as

cellulose column chromatographydsRNAnucleic acid extractionsingle-source extractionsoil microbiomesoil viromeunified protocolviromics

Identifiers

PMID41874177
PMCPMC13141886

What Socratic holds

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LicenceCC BY
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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 Socratic graph.