Evidence map›Paper›PMID 38459164›Full record

ArticleScientific reports2024

The soil microbiome of Lolium perenne L. depends on host genotype, is modified by nitrogen level and varies across season.

Cristiana Paina, Mattia Fois, Torben Asp, Just Jensen, Pernille Bjarup Hansen, Palle Duun Rohde

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Research Progress on Flowering Period of Hemp.Plants (Basel, Switzerland) · 2026
    Review
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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 1 country.

Cristiana PainaDepartment of Agroecology, Aarhus University, Forsøgsvej 1, 4200, Slagelse, Denmark.
Mattia FoisCenter for Quantitative Genetics and Genomics, Aarhus University, Forsøgsvej 1, 4200, Slagelse, Denmark.
Torben AspCenter for Quantitative Genetics and Genomics, Aarhus University, Forsøgsvej 1, 4200, Slagelse, Denmark.
Just JensenCenter for Quantitative Genetics and Genomics, Aarhus University, C. F. Møllers Allé 3, Bldg. 1130, 8000, Aarhus, Denmark. just.jensen@qgg.au.dk.
Pernille Bjarup HansenCenter for Quantitative Genetics and Genomics, Aarhus University, Forsøgsvej 1, 4200, Slagelse, Denmark.
Palle Duun RohdeGenomic Medicine, Department of Health Science and Technology, Aalborg University, Selma Lagerløfs Vej 249, 9260, Gistrup, Denmark.
Aarhus University · DKAalborg University · DK

Funding

Strategiske Forskningsråd 12-132452
6 · The paper itself

Abstract

Genotype by environment interactions (G × E) are frequently observed in herbage production. Understanding the underlying biological mechanisms is important for achieving stable and predictive outputs across production environments. The microbiome is gaining increasing attention as a significant contributing factor to G × E. Here, we focused on the soil microbiome of perennial ryegrass (Lolium perenne L.) grown under field conditions and investigated the soil microbiome variation across different ryegrass varieties to assess whether environmental factors, such as seasonality and nitrogen levels, affect the microbial community. We identified bacteria, archaea, and fungi operational taxonomic units (OTUs) and showed that seasonality and ryegrass variety were the two factors explaining the largest fraction of the soil microbiome diversity. The strong and significant variety-by-treatment-by-seasonal cut interaction for ryegrass dry matter was associated with the number of unique OTUs within each sample. We identified seven OTUs associated with ryegrass dry matter variation. An OTU belonging to the Solirubrobacterales (Thermoleophilales) order was associated with increased plant biomass, supporting the possibility of developing engineered microbiomes for increased plant yield. Our results indicate the importance of incorporating different layers of biological data, such as genomic and soil microbiome data to improve the prediction accuracy of plant phenotypes grown across heterogeneous environments.

Indexed as

LoliumSoilGenotypeNitrogenSeasonsNitrogenSoil

Identifiers

PMID38459164
PMCPMC10923896
OpenAlexW4392580520

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.