This work demonstrates enhanced crop yield and nutrient cycling in ginger via microbiome assembly, indicating the role of key metabolites and bacterial communities.
Plant microbiomes shape crop performance, but the mechanisms by which host-derived metabolites influence the recruitment and organisation of beneficial microbes—and how these affect crop yield—remain poorly understood. Few studies have linked multi-kingdom microbiome structure, metabolite profiles, and agronomic traits under field conditions. We integrated 16S rRNA and ITS amplicon sequencing with untargeted LC-MS/MS metabolomics across 36 samples from two Zingiber officinale (ginger) cultivars with contrasting yields. Bacterial communities were primarily shaped by stochastic processes (neutral model R² = 0.67–0.68), while fungal assembly was deterministic (βNTI < –2 in roots and rhizomes). The high-yield cultivar exhibited more complex co-occurrence networks (596 vs. 272 edges) and enrichment of keystone taxa, including Talaromyces and Devosia . Metabolomic profiling identified 586 unique compounds, with 24 enriched pathways in the high-yield cultivar, notably isoflavonoid biosynthesis and folate metabolism. Key host metabolites—Niazimin A and 1-oleoyl-lysophosphatidic acid—showed strong positive correlations (r > 0.75, P < 0.01) with nitrogen-fixing and growth-promoting microbes, whereas Oxindole correlated negatively. These findings suggest that host metabolic shifts and keystone microbes co-regulate microbiome structure and nutrient cycling. Our results provide mechanistic insight into microbiome-mediated yield differences and a basis for microbiome-informed crop design.
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Wang et al. (2025) studied this question.
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