Evidence map›Paper›PMID 40600713›Full record

ArticlemSystems2025

Year-long, multiple-timepoint field studies show the importance of spatiotemporal dynamics and microbial functions in agricultural soil microbiomes.

Lisa Joos, Sarah Ommeslag, Steve Baeyen, Wouter Asselberg, Koen Van Loo, Lieven Clement, Jane Debode, Bart Vandecasteele, Caroline De Tender

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Evolution, Mechanisms, and Therapeutic Implications of Mobile Tetracycline Destructases.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Article
  3. Fungal ecology in the age of 'omics.The New phytologist · 2026
    Review
  4. 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

9 authors.

Lisa JoosDepartment of Biochemistry and Microbiology, Ghent University, Ghent, Belgium.ORCID 0000-0002-4805-6703
Sarah OmmeslagFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences Unit, Merelbeke, Belgium.
Steve BaeyenFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences Unit, Merelbeke, Belgium.
Wouter AsselbergFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences Unit, Merelbeke, Belgium.
Koen Van LooFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences Unit, Merelbeke, Belgium.
Lieven ClementDepartment of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
Jane DebodeFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences Unit, Merelbeke, Belgium.
Bart VandecasteeleFlanders Research Institute for Agriculture, Fisheries and Food (ILVO), Plant Sciences Unit, Merelbeke, Belgium.
Caroline De TenderDepartment of Biochemistry and Microbiology, Ghent University, Ghent, Belgium.

Funding

EC | ERDF | Interreg 38-2-25-18Government of Flanders | Instituut voor Landbouw-, Visserij- en Voedingsonderzoek, Vlaamse Overheid (ILVO) Strategic fellowship
6 · The paper itself

Abstract

Despite the recognition of the complexity of soil ecosystem dynamics, most soil microbiome studies sample one field, take one sample per field, or use limited samples throughout the year. This limits our understanding of the spatiotemporal role of the soil microbiome in relation to management practices. To address these limitations, we conducted a year-long investigation of the soil microbiome in two agricultural fields, sampling multiple plots at different soil depths every 5 weeks. We examined spatial and temporal variabilities in response to the application of organic amendments (one-time biochar and annual compost application) on bacterial and fungal communities, studying both the microbial composition (metabarcoding, phospholipid fatty acids [PLFA], hot-water extractable-carbon) and activity (metatranscriptomics). Indicated by metabarcoding and PLFA, fungal communities were less affected over time per field, whereas bacteria exhibited more pronounced temporal trends. In contrast, fungi displayed clear spatial effects, while bacterial spatial differences within the field were predominantly observed in the deeper soil layer. Effects on functional roles and metabolic processes of the active microbial community were mainly related to temporal trends, especially in the topsoil. Organic amendments did not affect the microbial activity and affected fewer than 2% of the bacterial and fungal amplicon sequence variants over time. This study reveals the predominance of spatiotemporal dynamics over management practices in shaping soil microbial communities within agricultural fields, emphasizing the importance of field-specific factors, sampling depth, and community type. This ushers in the need for a well-considered experimental design and sampling strategy that accounts for spatiotemporal trends.IMPORTANCEThis study addresses a critical gap in soil microbiome research by investigating spatiotemporal effects on soil bacterial and fungal composition and activity in relation to field management practices. Moving beyond single-field and limited sampling approaches, this research conducted monthly sampling events on two fields at various depths. By combining metabarcoding, phospholipid fatty acid analysis, and metatranscriptomics, the study examined bacterial and fungal community composition, biomass, and functionality. Key findings reveal distinct responses of bacterial and fungal communities to spatiotemporal variability and management practices. Functional categories were predominantly driven by temporal trends rather than compost amendments. Temporal changes were more pronounced in the topsoil. These insights into the complex interactions between soil microbial communities, management practices, and spatiotemporal dynamics contribute significantly to soil microbiome research and sampling strategies.

Indexed as

MicrobiotaSoil MicrobiologyAgricultureBacteriaFatty AcidsFungiPhospholipidsSoilSpatio-Temporal AnalysisFatty AcidsPhospholipidsSoilagriculturebiocharcompostmetabarcodingmetatranscriptomicsPLFAsoil microbiomespatiotemporal dynamics

Identifiers

PMID40600713
PMCPMC12282097

What OpenQuestion holds

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LicenceCC BY
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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.