Bacterial Strain Identity and Community Composition Drive the Seed-to-Seedling Microbiota Assembly
Arnault, G.; Marais, C.; Preveaux, A.; Briand, M.; Jacquiod, S.; Sarniguet, A.; Barret, M.; Simonin, M.
Show abstract
The seed-to-seedling transition is a key step of plant microbiota assembly, where the seed microbiota meets the soil microbiota. Seed germination triggers profound physiological changes, including exudate release and oxidative bursts, which generate selective pressures shaping microbial survival and interactions. Here, we investigated how host selection and community composition influence bacterial colonization during this transition using a Synthetic Community (SynCom) approach on common bean (Phaseolus vulgaris) seeds. Specifically, we tested the importance of microbial interactions by applying 30 bacterial SynComs spawning a phylogenetic diversity gradient. Seedling colonization success was primarily determined by strain identity but was strongly modulated by the SynCom context. Strains that were highly effective colonizers when inoculated alone often exhibited reduced transmission within SynComs, indicating that microbial interactions can either inhibit or facilitate colonization. Random forest models confirmed that colonization outcomes could not be predicted from single-strain performance alone. Instead, both phylogenetic relatedness and metabolic similarity among SynCom members emerged as key predictors of strain success, supporting the competition-relatedness hypothesis and highlighting the importance of community-dependent effects in shaping colonization success. Genomic analyses identified microbial traits linked to efficient seedling colonization, notably amino acid transport and metabolism, stress tolerance, ROS detoxification, and biofilm formation, highlighting the strong selective pressures acting during the seed-to-seedling transition. Besides key adaptative traits, our findings underscore the importance of microbial interactions to survive and colonize seedlings, bringing a novel perspective for the successful engineering of seed and seedling microbiota.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A fungal powdery mildew pathogen induces extensive local and marginal systemic changes in the Arabidopsis thaliana microbiota 95%
- Genetic and physiological insights into the diazotrophic activity of a non-cyanobacterial marine diazotroph 95%
- Quorum Sensing Regulates 'swim-or-stick' Lifestyle in the Phycosphere 94%
Similar papers in this journal
- Investigating genetic diversity within the most abundant and prevalent non-pathogenic leaf-associated bacteria interacting with Arabidopsis thaliana in natural habitats 97%
- A stable 15-member bacterial SynCom promotes Brachypodium growth under drought stress 97%
- The isolate Caproiciproducens sp. 7D4C2 produces n-caproate at mildly acidic conditions from hexoses: genome and rBOX comparison with related strains and chain-elongating bacteria 95%
Similar papers in this journal
- Strong pairwise Interactions do not Drive Interactions in a Plant Leaf Associated Microbial Community 96%
- Proposal of Patescibacterium danicum gen. nov., sp. nov. in the ubiquitous ultrasmall bacterial phylum Patescibacteriota phyl. nov. 95%
- The Pseudomonas putida Type VI Secretion Systems Shape the Tomato Rhizosphere Microbiota 94%
Similar papers in this journal
Similar papers in this journal
- Bacillus velezensis stimulates resident rhizosphere Pseudomonas stutzeri for plant health through metabolic interactions 95%
- Defined synthetic microbial communities colonize and benefit field-grown sorghum 94%
- Single-cell transcriptomics reveals functional insights into a non-model aquatic phytoflagellate and its metabolically linked bacterial community 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.