ArticleThe ISME journal2020
Predicting disease occurrence with high accuracy based on soil macroecological patterns of Fusarium wilt.
Article in The ISME journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
110 citing papers in PubMed, 4 syntheses or guidelines pooled it, 287 citations in OpenAlex.
- Exploring oral microbiome in oral squamous cell carcinoma across environment-associated sample types.Microbiology spectrum · 2025Pooled it
- Assessing the Risks of Potential Pathogens and Antibiotic Resistance Genes Among Heterogeneous Habitats in a Temperate Estuary Wetland: a Meta-analysis.Microbial ecology · 2025Pooled it
- Inflammatory microbes and genes as potential biomarkers of Parkinson's disease.NPJ biofilms and microbiomes · 2022Pooled it
- Pooled it
- Harnessing the plant microbiome in 21st-century China: Recent progress and future perspectives.aBIOTECH · 2026Review
- The Integrated Management of Sugar-Beet Soilborne Diseases Through Rhizosphere Microbiome Strategies: A Critical Review of Agronomic Evidence and Application Gaps.Plants (Basel, Switzerland) · 2026Review
- Stimulating the non-ARG harbored microbes with a specific carbon source can suppress the rebound of soil ARB after calcium peroxide application.Fundamental research · 2026Article
- Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations.Nature communications · 2026Article
- Microbial succession from nursery to vineyard highlights the role of beneficial and pathogenic microbes in young vineyard yield.Environmental microbiome · 2026Article
- Plant pathogenic nematode exosomes remodel vector tracheae to enhance pathogen transmission.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Plant health in the era of global changes, holobiont biology, and microbiome-based solutions.Horticulture research · 2026Article
- Phosphorus availability drives rhizosphere metabolite-microbial community interactions to modulate cucumber susceptibility to Fusarium wilt.Microbiome · 2026Article
- Microbial interaction networks as climate thermometers: redefining temperature sensitivity of aerobic methanotrophy in freshwater ecosystems.npj biodiversity · 2026Article
- Zoo gut plastispheres enable pathogen escape and adaptation.The ISME journal · 2026Article
- Unveiling the role of soil microorganisms in indicating paddy soil health via metagenomics combined with machine learning.ISME communications · 2026Article
- Metagenomic Tools as Predictive Approaches to Decipher Soil and Rhizosphere Microbial Communities and Their Functions for Sustainable Agriculture.International journal of genomics · 2026Review
- Biochar reshapes soil bacterial community composition and survival strategies: a meta-analysis revealing trade-offs between microbial stability and functional complexity.Biology and fertility of soils · 2026Article
- Combined effects of sound and temperature on the composition and function of bacterial and fungal communities in loess.BMC microbiology · 2025Article
- General variation in the Fusarium wilt rhizosphere microbiome.Nature communications · 2025Article
- Production Systems and Age Influence Fecal Mycobiota Diversity and Composition in Swine.Microbial ecology · 2025Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soil-borne plant diseases are increasingly causing devastating losses in agricultural production. The development of a more refined model for disease prediction can aid in reducing crop losses through the use of preventative control measures or soil fallowing for a planting season. The emergence of high-throughput DNA sequencing technology has provided unprecedented insight into the microbial composition of diseased versus healthy soils. However, a single independent case study rarely yields a general conclusion predictive of the disease in a particular soil. Here, we attempt to account for the differences among various studies and plant varieties using a machine-learning approach based on 24 independent bacterial data sets comprising 758 samples and 22 independent fungal data sets comprising 279 samples of healthy or Fusarium wilt-diseased soils from eight different countries. We found that soil bacterial and fungal communities were both clearly separated between diseased and healthy soil samples that originated from six crops across nine countries or regions. Alpha diversity was consistently greater in the fungal community of healthy soils. While diseased soil microbiomes harbored higher abundances of Xanthomonadaceae, Bacillaceae, Gibberella, and Fusarium oxysporum, the healthy soil microbiome contained more Streptomyces Mirabilis, Bradyrhizobiaceae, Comamonadaceae, Mortierella, and nonpathogenic fungi of Fusarium. Furthermore, a random forest method identified 45 bacterial OTUs and 40 fungal OTUs that categorized the health status of the soil with an accuracy >80%. We conclude that these models can be applied to predict the potential for occurrence of F. oxysporum wilt by revealing key biological indicators and features common to the wilt-diseased soil microbiome.
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What OpenQuestion holds
Registered trials
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.