Evidence map›Paper›PMID 42370713›Full record

ArticlemSystems2026

Disentangling production and persistence of extracellular virions in grassland soils with SIP-viromics.

Gareth Trubl, Simon Roux, Matthew Kellom, Dariia Vyshenska, Andy Tomatsu, Kanwar Singh, Jeffrey A Kimbrel, Emiley Eloe-Fadrosh, Rex R Malmstrom, Jennifer Pett-Ridge and 1 more

Abstract read
In one paragraph

Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Gareth TrublPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0000-0001-5008-1476
Simon RouxDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0002-5831-5895
Matthew KellomDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0002-8310-7078
Dariia VyshenskaDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Andy TomatsuDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Kanwar SinghDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Jeffrey A KimbrelPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0000-0001-7213-9392
Emiley Eloe-FadroshDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0002-8162-1276
Rex R MalmstromDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Jennifer Pett-RidgePhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0000-0002-4439-2398
Steven J BlazewiczPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0000-0001-7517-1750

Funding

Lawrence Livermore National Laboratory 18-ERD-041U.S. Department of Energy SCW1632
6 · The paper itself

Abstract

Viruses are abundant and ecologically important in soils, yet the persistence and production dynamics of extracellular virions remain poorly understood. We applied genome-resolved stable isotope probing viromics (SIP-viromics), combining H

Indexed as

GrasslandMetagenomicsSoil MicrobiologyVirionViromeGenome, ViralSoilSoil18OactinomycetotadsDNA virusesgrasslandSIP-viromicssoil rewettingstable isotope probingviral seed bankvirome

Identifiers

PMID42370713
PMCPMC13386977

What OpenQuestion holds

Textmetadata
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.