Matthieu Barret

This study identifies metabolites and microbiota associated with germination speed and emergence in common bean by integrating morphometrics, metabolomics, and microbiome analysis across eight varieties.

The paper quantifies the efficiency of different transmission routes for Xanthomonas citri pv. fuscans and other seed-borne bacteria to bean seeds, finding the vascular route most efficient and identifying plant immunity as a bottleneck.

This study characterizes seed microbiota diversity across four crops and establishes a strain collection using culture-dependent and culture-independent methods, revealing significant variation influenced by genotype and production mode.

This study examines drought's legacy effects on root and rhizosphere bacterial microbiomes across two plant generations in common bean, finding no significant microbiome response in one genotype but a minor legacy effect in another.

This study shows how xylem sap flow constraints shape opposite regulatory strategies in two plant pathogens, Xcc and Rs, to mitigate trade-offs between virulence traits.

This study shows that bacterial strain identity and community composition influence seed-to-seedling microbiota assembly, with microbial interactions affecting colonization success.

The paper investigates how bacteria from watermelon flowers contribute to seed microbiota and plant fitness, finding that floral transmission significantly influences bacterial diversity and seed germination.

This study shows that T6SS-mediated competition by S. rhizophila influences seed microbiota composition and seed-to-seedling transmission dynamics.

This study inoculates synthetic bacterial communities on seeds to assess their transient colonization and legacy effects on plant microbiota across the life cycle.

The paper identifies lactuchelins, novel lipopeptide siderophores from Pseudomonas lactucae, which inhibit Xanthomonas campestris pv. campestris 8004 through iron chelation.

This study tracks how drought or nutrient excess affects the transmission of bacterial communities in bean seeds across generations, finding stable transmission of 22 bacterial members regardless of parental treatment.

The paper uses a multi-omic approach to study Xanthomonas citri pv. fuscans interaction with common bean seeds, revealing a dynamic molecular dialogue and proposing a 'ceasefire' model for seed-pathogen interaction.

This study develops a method to engineer seedling microbiota using synthetic bacterial communities inoculated on seeds, showing they dominate seedling microbiota and influence plant fitness.

The paper introduces a workflow for computing and visualizing genome sequence relatedness using k-mer counts, achieving similar precision to ANI but faster, and integrates it into a user-friendly tool.