Evidence map›Paper›PMID 39779689›Full record

ArticleScientific data2025

Harmonized Datasets of microbiological parameters from a French national-scale soil monitoring survey.

Aurélien Cottin, Samuel Dequiedt, Christophe Djemiel, Nicolas Chemidlin Prévost-Bouré, Julie Tripied, Mélanie Lelièvre, Lucie Terreau, Tiffanie Régnier, Battle Karimi, Claudy Jolivet and 5 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Aurélien Cottin *Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.ORCID http://orcid.org/0000-0002-0862-784X
Samuel DequiedtAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Christophe DjemielAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Nicolas Chemidlin Prévost-BouréAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Julie TripiedAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Mélanie LelièvreAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Lucie TerreauAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Tiffanie RégnierAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Battle KarimiAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Claudy JolivetINRAE, InfoSol, F-45075, Orléans, France.
Antonio BispoINRAE, InfoSol, F-45075, Orléans, France.
Nicolas SabyINRAE, InfoSol, F-45075, Orléans, France.
Pierre-Alain MaronAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Lionel RanjardAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.
Sébastien Terrat *Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France. sebastien.terrat@inrae.fr.ORCID http://orcid.org/0000-0001-5209-6196

Funding

Conseil régional de Bourgogne-Franche-Comté (Regional Council of Burgundy) 2021PRE00370
6 · The paper itself

Abstract

Microbiological datasets and associated environmental parameters from the French soil quality monitoring network (RMQS) offer an opportunity for long-term and large-scale soil quality monitoring. Soils supply important ecosystem services e.g. carbon dynamics/storage or mineral element recycling, supported by the soil microbial diversity (bacteria, archaea and fungi). Based on the 2,240 sites of the 2000-2015 RMQS, molecular tools were applied to characterize soil microbiota. Soil DNA analysis yielded molecular microbial biomass for 2,168 sites, bacterial and fungal qPCR for 2,073 sites, and high-throughput amplicon sequencing of targeted 16S rDNA bacterial and archaeal genes for 1,842 sites. All these datasets were partially or completely unavailable, so raw results files from RMQS microbiological studies were harmonized and published in a Dataverse repository to facilitate their reusability. Altogether, these datasets allow for in-depth studies of soil microbial ecology and biogeography, and will be updated with fungal datasets and the second currently ongoing monitoring campaign (2016-2027).

Indexed as

ArchaeaBacteriaFungiSoil MicrobiologyEnvironmental MonitoringFranceMicrobiotaRNA, Ribosomal, 16SSoilRNA, Ribosomal, 16SSoil

Identifiers

PMID39779689
PMCPMC11711283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.