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Growth rate is a dominant factor predicting the rhizosphere effect.

José L López1,2,3, Arista Fourie1, Sanne W M Poppeliers4

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Bacteria with higher growth rate potential dominate plant root microbiomes. This finding, based on genomic analysis, is key for sustainable agriculture and understanding root-soil interactions.

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Area of Science:

  • Microbial Ecology
  • Genomics
  • Sustainable Agriculture

Background:

  • Plant roots selectively shape the surrounding microbial community, a phenomenon known as the rhizosphere effect.
  • Understanding microbial traits driving rhizosphere success is crucial for agricultural sustainability.

Purpose of the Study:

  • To investigate the relationship between bacterial growth rate potential and rhizosphere colonization.
  • To identify functional traits associated with high growth rates in rhizosphere bacteria.

Main Methods:

  • Analyzed 84 paired rhizosphere and soil 16S rRNA gene amplicon datasets.
  • Estimated bacterial growth rates and compared functional traits using genome sequences from isolates and metagenome-assembled genomes (MAGs).
  • Utilized machine learning models to identify key features differentiating rhizosphere and soil bacteria.

Main Results:

  • Bacteria with higher predicted growth rate potential were consistently enriched in the rhizosphere across diverse plant and soil types.
  • Predicted growth rate potential was the primary feature distinguishing rhizosphere from soil bacteria in machine learning models.
  • Identified specific functional traits contributing to faster growth and rhizosphere competitiveness.

Conclusions:

  • Bacterial growth rate potential is a significant factor in rhizosphere community assembly.
  • Genomic prediction of growth rate offers a powerful tool for studying uncultivated rhizosphere microbes.
  • Findings have implications for developing targeted strategies for sustainable agriculture.