Evidence map›Paper›PMID 38421171›Full record

ArticlemSystems2024

Seasonality and longer-term development generate temporal dynamics in the

William A Argiroff, Alyssa A Carrell, Dawn M Klingeman, Nicholas C Dove, Wellington Muchero, Allison M Veach, Toni Wahl, Steven J Lebreux, Amber B Webb, Kellie Peyton and 2 more

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Climate Variability Under ENSO Reshapes thePlants (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Review
  6. Annual Dynamics of Mycobiota in Symptomatic Century-Old Trees ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. The hidden life ofApplied and environmental microbiology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

12 authors at 2 institutions in 1 country.

William A ArgiroffBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0002-7490-4980
Alyssa A CarrellBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0003-1142-4709
Dawn M KlingemanBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Nicholas C DoveBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Wellington MucheroBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Allison M VeachDepartment of Integrative Biology, The University of Texas, San Antonio, Texas, USA.ORCID 0000-0001-9845-3558
Toni WahlBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Steven J LebreuxBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Amber B WebbBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Kellie PeytonBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Christopher W 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
Oak Ridge National Laboratory · USThe University of Texas at San Antonio · US

Funding

U.S. Department of Energy (DOE) Plant-microbe interfaces
6 · The paper itself

Abstract

Temporal variation in community composition is central to our understanding of the assembly and functioning of microbial communities, yet the controls over temporal dynamics for microbiomes of long-lived plants, such as trees, remain unclear. Temporal variation in tree microbiomes could arise primarily from seasonal (i.e., intra-annual) fluctuations in community composition or from longer-term changes across years as host plants age. To test these alternatives, we experimentally isolated temporal variation in plant microbiome composition using a common garden and clonally propagated plants, and we used amplicon sequencing to characterize bacterial/archaeal and fungal communities in the leaf endosphere, root endosphere, and rhizosphere of two

Indexed as

MicrobiotaPopulusArchaeaBacteriaPlant RootsSoil MicrobiologyTreesfine rootsmicrobial community assemblyphyllosphererhizospheretemporal patterns

Identifiers

PMID38421171
PMCPMC10949431
OpenAlexW4392285127

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.