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Genome-resolved metatranscriptomics reveals conserved root colonization determinants in a synthetic microbiota.


ABSTRACT: The identification of processes activated by specific microbes during microbiota colonization of plant roots has been hampered by technical constraints in metatranscriptomics. These include lack of reference genomes, high representation of host or microbial rRNA sequences in datasets, or difficulty to experimentally validate gene functions. Here, we recolonized germ-free Arabidopsis thaliana with a synthetic, yet representative root microbiota comprising 106 genome-sequenced bacterial and fungal isolates. We used multi-kingdom rRNA depletion, deep RNA-sequencing and read mapping against reference microbial genomes to analyse the in planta metatranscriptome of abundant colonizers. We identified over 3,000 microbial genes that were differentially regulated at the soil-root interface. Translation and energy production processes were consistently activated in planta, and their induction correlated with bacterial strains' abundance in roots. Finally, we used targeted mutagenesis to show that several genes consistently induced by multiple bacteria are required for root colonization in one of the abundant bacterial strains (a genetically tractable Rhodanobacter). Our results indicate that microbiota members activate strain-specific processes but also common gene sets to colonize plant roots.

SUBMITTER: Vannier N 

PROVIDER: S-EPMC10719396 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Genome-resolved metatranscriptomics reveals conserved root colonization determinants in a synthetic microbiota.

Vannier Nathan N   Mesny Fantin F   Getzke Felix F   Chesneau Guillaume G   Dethier Laura L   Ordon Jana J   Thiergart Thorsten T   Hacquard Stéphane S  

Nature communications 20231213 1


The identification of processes activated by specific microbes during microbiota colonization of plant roots has been hampered by technical constraints in metatranscriptomics. These include lack of reference genomes, high representation of host or microbial rRNA sequences in datasets, or difficulty to experimentally validate gene functions. Here, we recolonized germ-free Arabidopsis thaliana with a synthetic, yet representative root microbiota comprising 106 genome-sequenced bacterial and fungal  ...[more]

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