Evidence map›Paper›PMID 41201243›Full record

ArticlemSystems2025

Time-series RNA metabarcoding of the active

Jake Nash, Keaton Tremble, Christopher Schadt, Melissa A Cregger, Corbin Bryan, Rytas Vilgalys

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Jake NashDepartment of Biology, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-1994-7128
Keaton TrembleDepartment of Biology, Duke University, Durham, North Carolina, USA.
Christopher SchadtBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0001-8759-2448
Melissa A CreggerBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0001-8329-366X
Corbin BryanDepartment of Biology, Duke University, Durham, North Carolina, USA.
Rytas VilgalysDepartment of Biology, Duke University, Durham, North Carolina, USA.

Funding

U.S. Department of Energy DE-AC05-00OR22725
6 · The paper itself

Abstract

The rhizosphere is a critical interface between plant roots and soil, harboring diverse microbial communities that are essential to plant and ecosystem health. Although these communities exhibit stark temporal dynamics, their dormancy/activity transitions remain poorly understood. Such transitions may enable microbes to rapidly adjust functional contributions faster than community turnover alone would allow. Here, we used RNA metabarcoding to characterize the active fraction of microbial communities on the roots of quaking aspen ( IMPORTANCE: Members of the rhizosphere exhibit dynamic patterns of activity and dormancy. This study stresses the need to focus on active microbial communities to detect temporal changes in plant microbiomes. Additionally, the metabolic activity of microbes should be considered a key determinant of core microbiome membership. Parallel patterns in active community dynamics between fungal and bacterial communities provide a potentially generalizable rule of microbial community temporal dynamics in plant rhizospheres.

Indexed as

MicrobiotaPlant RootsPopulusBacteriaDNA Barcoding, TaxonomicFungiRhizosphereSoil MicrobiologymicrobiomePopulus rootRNA metabarcodingtime-series

Identifiers

PMID41201243
PMCPMC12710371

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.