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Advances in DNA sequencing technologies have drastically changed our perception of the structure and complexity of the plant microbiome. By comparison, our ability to accurately identify the metabolically active fraction of soil microbiota and its specific functional role in augmenting plant health is relatively limited. Important ecological interactions being performed by microbes can be investigated by analyzing the extracellular protein fraction. Here, we combined a unique protein extraction method and an iterative bioinformatics pipeline to capture and identify extracellular proteins (metaexoproteomics) synthesized in the rhizosphere of spp. We first validated our method in the laboratory by successfully identifying proteins related to a host plant () and its bacterial inoculant, Pseudomonas putida BIRD-1. This identified numerous rhizosphere specific proteins linked to the acquisition of plant-derived nutrients in P. putida. Next, we analyzed natural field-soil microbial communities associated with L. (oilseed rape). By combining metagenomics with metaexoproteomics, 1,885 plant, insect, and microbial proteins were identified across bulk and rhizosphere samples. Metaexoproteomics identified a significant shift in the metabolically active fraction of the soil microbiota responding to the presence of roots that was not apparent in the composition of the total microbial community (metagenome). This included stimulation of rhizosphere-specialized bacteria, such as , , and , and the upregulation of plant beneficial functions related to phosphorus and nitrogen mineralization. Our metaproteomic assessment of the "active" plant microbiome at the field-scale demonstrates the importance of moving beyond metagenomics to determine ecologically important plant-microbe interactions underpinning plant health. Plant-microbe interactions are critical to ecosystem function and crop production. While significant advances have been made toward understanding the structure of the plant microbiome, learning about its full functional role is still in its infancy. This is primarily due to an incomplete ability to determine plant-microbe interactions actively operating under field conditions. Proteins are the functional entities of the cell. Therefore, their identification and relative quantification within a microbial community provide the best proxy for which microbes are the most metabolically active and which are driving important plant-microbe interactions. Here, we provide the first metaexoproteomics assessment of the plant microbiome using field-grown oilseed rape as the model crop species, identifying key taxa responsible for specific ecological interactions. Gaining a mechanistic understanding of the plant microbiome is central to developing engineered plant microbiomes to improve sustainable agricultural approaches and reduce our reliance on nonrenewable resources.
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http://dx.doi.org/10.1128/msystems.00025-22 | DOI Listing |
Chem Biodivers
September 2025
Zhejiang Provincial Key Laboratory of Agricultural Microbiomics, Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, P. R. China.
A novel and efficient hydrogen peroxide/ascorbic acid-assisted extraction method for the preparation of Grifola frondosa polysaccharide (GFP) was developed, and two GFP fractions (GFP-H and GFP-L) with different molecular weights (Mws) were obtained by separation with ultrafiltration. Both high Mw component (GFP-H, Mw 396.4 kDa) and low Mw component (GFP-L, Mw 12.
View Article and Find Full Text PDFPLoS Biol
September 2025
Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Inter-laboratory replicability is crucial yet challenging in microbiome research. Leveraging microbiomes to promote soil health and plant growth requires understanding underlying molecular mechanisms using reproducible experimental systems. In a global collaborative effort involving five laboratories, we aimed to help advance reproducibility in microbiome studies by testing our ability to replicate synthetic community assembly experiments.
View Article and Find Full Text PDFmBio
September 2025
Food and Agriculture Organization of the United Nations, Rome, Italy.
The One Health Joint Plan of Action (2022-2026), developed by the United Nations Quadripartite (FAO, UNEP, WHO, and WOAH), provides a comprehensive framework to address global health risks at the human-animal-plant-environment interface. However, it overlooks the critical role of microbiomes-complex microbial communities that underpin the health of all ecosystems and are central to the One Health paradigm. Microbiomes regulate key processes, such as nutrient cycling, pathogen suppression, antimicrobial resistance (AMR) dynamics, and environmental resilience, making their inclusion essential for achieving One Health goals.
View Article and Find Full Text PDFPlant Physiol
September 2025
Plant-Microbe Interactions, Department of Biology, Science4Life, Utrecht University, Utrecht 3508 TB, the Netherlands.
The increasing demand for sustainable agricultural practices has driven a renewed interest in plant-microbiome interactions as a basis for the next "green revolution." Central to these interactions are root-derived metabolites that act as mediators of microbial recruitment and function. Plants exude a chemically diverse array of compounds that influence the assembly, composition, and stability of the root microbiome.
View Article and Find Full Text PDFFront Mol Biosci
August 2025
Department of Environmental Science, University of Arizona, Tucson, AZ, United States.
Introduction: Peatlands store up to a third of global soil carbon, and in high latitudes their litter inputs are increasing and changing in composition under climate change. Although litter significantly influences peatland carbon and nutrient dynamics by changing the overall lability of peatland organic matter, the physicochemical mechanisms of this impact-and thus its full scope-remain poorly understood.
Methods: We applied multimodal metabolomics (UPLC-HRMS, H NMR) paired with C Stable Isotope-Assisted Metabolomics (SIAM) to track litter carbon and its potential priming effects on both existing soil organic matter and carbon gas emissions.