Root Microbial Functions and Robust Network Drive High-Yielding Canola Genotype

Plants and their root microbiomes have coevolved complex relationships that influence growth and development. Although plant genotype is known to shape root microbiomes, a detailed understanding of this interplay remains limited. We used shotgun metagenomic sequencing to examine the composition, function, and microbial association networks of root bacterial communities in two Brassica napus (canola) genotypes with contrasting yields: NAM-23 and NAM-30. Root samples were collected at three developmental stages (vegetative, flowering, and maturation) across three field sites. Growth stage significantly influenced both alpha and beta diversity, but not Kyoto Encyclopedia of Genes and Genomes pathway functions. Genotype had minimal effect on overall diversity and function but specifically influenced the recruitment of certain bacterial taxa and the topology of microbial association networks. NAM-23, the high-yielding genotype, was enriched in plant-growth-promoting bacteria ( Rahnella) and genes related to carbohydrate and phosphorus metabolism. Additionally, NAM-23 exhibited a more robust and connected microbial network, with higher degree, betweenness, and clustering coefficient, and more genotype-specific hub taxa, traits often associated with enhanced resistance to abiotic and biotic stresses and potentially contributing to its higher yield. Our findings provide a high-resolution view of genotype-specific interactions with the root microbiome, highlighting key microbial features associated with high yield. These insights support microbiome-informed strategies for crop improvement in sustainable agriculture. [Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

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Journal
Phytobiomes Journal
Published
2025-10-12
DOI
https://doi.org/10.1094/pbiomes-05-25-0033-r
Primary Topic
Microbial Metabolites in Food Biotechnology
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article
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article

Root Microbial Functions and Robust Network Drive High-Yielding Canola Genotype

Sally Vail, Steven D. Siciliano, Steven D. Mamet, Yunliang Li
Phytobiomes Journal
Microbial Metabolites in Food Biotechnology
article

Root Microbial Functions and Robust Network Drive High-Yielding Canola Genotype

Sally Vail, Steven D. Siciliano, Steven D. Mamet, Yunliang Li
article en

Abstract

Plants and their root microbiomes have coevolved complex relationships that influence growth and development. Although plant genotype is known to shape root microbiomes, a detailed understanding of this interplay remains limited. We used shotgun metagenomic sequencing to examine the composition, function, and microbial association networks of root bacterial communities in two Brassica napus (canola) genotypes with contrasting yields: NAM-23 and NAM-30. Root samples were collected at three developmental stages (vegetative, flowering, and maturation) across three field sites. Growth stage significantly influenced both alpha and beta diversity, but not Kyoto Encyclopedia of Genes and Genomes pathway functions. Genotype had minimal effect on overall diversity and function but specifically influenced the recruitment of certain bacterial taxa and the topology of microbial association networks. NAM-23, the high-yielding genotype, was enriched in plant-growth-promoting bacteria ( Rahnella) and genes related to carbohydrate and phosphorus metabolism. Additionally, NAM-23 exhibited a more robust and connected microbial network, with higher degree, betweenness, and clustering coefficient, and more genotype-specific hub taxa, traits often associated with enhanced resistance to abiotic and biotic stresses and potentially contributing to its higher yield. Our findings provide a high-resolution view of genotype-specific interactions with the root microbiome, highlighting key microbial features associated with high yield. These insights support microbiome-informed strategies for crop improvement in sustainable agriculture. [Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

Phytobiomes JournalVol. 10(1)
Agriculture and Agri-Food Canada (CA), University of Saskatchewan (CA)
Openalex Percentile: Top 65%
Microbial Metabolites in Food Biotechnology
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