Evidence map›Paper›PMID 29110064›Full record

ArticleMicrobial ecology2018

The Impact of the Diurnal Cycle on the Microbial Transcriptome in the Rhizosphere of Barley.

Divyashri Baraniya, Paolo Nannipieri, Susanne Kublik, Gisle Vestergaard, Michael Schloter, Anne Schöler

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Rhizosphere microbiomes of field-grownFrontiers in microbiology · 2025
    Article
  3. Article
  4. Article
  5. Part-night exposure to artificial light at night has more detrimental effects on aphid colonies than fully lit nights.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Spatiotemporal Dynamics of Maize (Frontiers in microbiology · 2021
    Review
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 at 2 institutions in 2 countries.

Divyashri BaraniyaDepartment of Agrifood Production and Environmental Sciences, University of Florence, Piazzale delle Cascine 28, 50144, Florence, Italy.
Paolo NannipieriDepartment of Agrifood Production and Environmental Sciences, University of Florence, Piazzale delle Cascine 28, 50144, Florence, Italy.
Susanne KublikResearch Unit for Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Gisle VestergaardResearch Unit for Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Michael SchloterResearch Unit for Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. schloter@helmholtz-muenchen.de.
Anne SchölerResearch Unit for Comparative Microbiome Analysis, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Helmholtz Zentrum München · DEUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While root exudation follows diurnal rhythms, little is known about the consequences for the microbiome of the rhizosphere. In this study, we used a metatranscriptomic approach to analyze the active microbial communities, before and after sunrise, in the rhizosphere of barley. We detected increased activities of many prokaryotic microbial taxa and functions at the pre-dawn stage, compared to post-dawn. Actinomycetales, Planctomycetales, Rhizobiales, and Burkholderiales were the most abundant and therefore the most active orders in the barley rhizosphere. The latter two, as well as Xanthomonadales, Sphingomonadales, and Caulobacterales showed a significantly higher abundance in pre-dawn samples compared to post-dawn samples. These changes in taxonomy coincide with functional changes as genes involved in both carbohydrate and amino acid metabolism were more abundant in pre-dawn samples compared to post-dawn samples. This study significantly enhances our present knowledge on how rhizospheric microbiota perceives and responds to changes in the soil during dark and light periods.

Indexed as

RhizosphereSoil MicrobiologyTranscriptomeAmino AcidsBacteriaCarbohydrate MetabolismCircadian RhythmHordeumMicrobiotaPlant RootsSoilAmino AcidsSoilBarleyDiurnal cycleMetatranscriptomeMicrobial dynamicsRhizosphere

Identifiers

PMID29110064
OpenAlexW2767001984

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.