ArticleThe ISME journal2023
Growth rate is a dominant factor predicting the rhizosphere effect.
Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis 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.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Root colonization by beneficial rhizobacteria.FEMS microbiology reviews · 2024Pooled it
- Soil microbial growth rate, trophic strategy, and the oligotroph-copiotroph continuum.Applied and environmental microbiology · 2026Article
- Functional capacities drive recruitment of bacteria into plant root microbiota.Nature microbiology · 2026Article
- Seed-borne bacteria-mediated seedling microbiome assembly: genetic and metabolic mechanisms of salt tolerance.Archives of microbiology · 2026Review
- Legacy effects of cover cropping and crop phase on soybean health and associated rhizosphere microbiome in corn-soybean rotation.Environmental microbiome · 2026Article
- Restoring soil and sediment microbiomes in the Anthropocene.Nature reviews. Microbiology · 2026Review
- Soil and Genotype Shape the Sugarcane Phytobiome for Enhanced Environmental Adaptation.Environmental microbiology reports · 2026Article
- Review
- Spatial structure: shaping the ecology and evolution of microbial communities.FEMS microbiology reviews · 2026Review
- Positive effects of reduced tillage intensity on soil organic matter are linked to shifts ofISME communications · 2026Article
- Drought increases root and rhizodeposition carbon inputs into soils.Plant and soil · 2026Article
- Interspecies interactions among sugarcane-associated bacteria and their impact on plant growth promotion traits.Frontiers in microbiology · 2026Article
- Synthetic bacterial community colonizes wheat roots grown in soil and mimics the assembly pattern of a field community in a cultivar dependent manner.ISME communications · 2026Article
- Soil Nutrient Enrichment Induces Trade-Offs in Bacterial Life-History Strategies Promoting Plant Productivity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Distinct roles of bacteria and fungi in driving rhizosphere and bulk soil multifunctionality of Abies georgei in an alpine forest.BMC plant biology · 2025Article
- Arabidopsis root defense barriers support beneficial interactions with rhizobacterium Pseudomonas simiae WCS417.The New phytologist · 2025Article
- Decoding the genetic drivers of marine bacterial blooms through comparative genomics.Microbiome · 2025Article
- Predicting rhizosphere-competence-related catabolic gene clusters in plant-associated bacteria with rhizoSMASH.Nature communications · 2025Article
- Root-exuded sugars as drivers of rhizosphere microbiome assembly.Plant biotechnology (Tokyo, Japan) · 2025Article
- Fast-growingbioRxiv : the preprint server for biology · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The root microbiome is shaped by plant root activity, which selects specific microbial taxa from the surrounding soil. This influence on the microorganisms and soil chemistry in the immediate vicinity of the roots has been referred to as the rhizosphere effect. Understanding the traits that make bacteria successful in the rhizosphere is critical for developing sustainable agriculture solutions. In this study, we compared the growth rate potential, a complex trait that can be predicted from bacterial genome sequences, to functional traits encoded by proteins. We analyzed 84 paired rhizosphere- and soil-derived 16S rRNA gene amplicon datasets from 18 different plants and soil types, performed differential abundance analysis, and estimated growth rates for each bacterial genus. We found that bacteria with higher growth rate potential consistently dominated the rhizosphere, and this trend was confirmed in different bacterial phyla using genome sequences of 3270 bacterial isolates and 6707 metagenome-assembled genomes (MAGs) from 1121 plant- and soil-associated metagenomes. We then identified which functional traits were enriched in MAGs according to their niche or growth rate status. We found that predicted growth rate potential was the main feature for differentiating rhizosphere and soil bacteria in machine learning models, and we then analyzed the features that were important for achieving faster growth rates, which makes bacteria more competitive in the rhizosphere. As growth rate potential can be predicted from genomic data, this work has implications for understanding bacterial community assembly in the rhizosphere, where many uncultivated bacteria reside.
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Registered trials
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