Claim · model-written summary
SHAP networks linked daidzin, GABA and Paenibacillus across omics layers.
- Taxon
- soybean
Glycine maxe1 - Interactor
- Paenibacillus
Paenibacilluse0symbiont - Compound
- daidzine0
- Outcome
- cross-omics linkse0
Not reportedMaterialGeneOrgan / stageSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“SHAP-based interaction networks indicated cross-omics links, including connections between daidzin, gamma-aminobutyric acid (GABA), and Paenibacillus”
t0“Interpretable multi-omics machine learning reveals drought-driven shifts in plant-microbe interactions”
e1“198 soybean accessions grown under both control and drought conditions”
Title
Hayato Yoshioka; Pavla Debeljak; Soizic Prado; et al. Environmental Microbiome 2026. doi:10.1186/s40793-026-00883-x
Other claims from this paper (3)
- Method / resource Machine learning models outperformed linear models in capturing nonlinear dependencies.
- Association Daidzin was a major contributor to soybean phenotypic variation under drought.
- Association Candidatus Nitrosocosmicus was a major contributor to soybean phenotypic variation under drought.