Seedling microbiota engineering using bacterial synthetic community inoculation on seeds.


Journal

FEMS microbiology ecology
ISSN: 1574-6941
Titre abrégé: FEMS Microbiol Ecol
Pays: England
ID NLM: 8901229

Informations de publication

Date de publication:
19 Mar 2024
Historique:
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 19 3 2024
Statut: aheadofprint

Résumé

Synthetic Communities (SynComs) are being developed and tested to manipulate plant microbiota and improve plant health. To date, only few studies proposed the use of SynCom on seed despite its potential for plant microbiota engineering. We developed and presented a simple and effective seedling microbiota engineering method using SynCom inoculation on seeds. The method was successful using a wide diversity of SynCom compositions and bacterial strains that are representative of the common bean seed microbiota. First, this method enables the modulation of seed microbiota composition and community size. Then, SynComs strongly outcompeted native seed and potting soil microbiota and contributed on average to 80% of the seedling microbiota. We showed that strain abundance on seed was a main driver of an effective seedling microbiota colonization. Also, selection was partly involved in seed and seedling colonization capacities since strains affiliated to Enterobacteriaceae and Erwiniaceae were good colonizers while Bacillaceae and Microbacteriaceae were poor colonizers. Additionally, the engineered seed microbiota modified the recruitment and assembly of seedling and rhizosphere microbiota through priority effects. This study shows that SynCom inoculation on seeds represents a promising approach to study plant microbiota assembly and its consequence on plant fitness.

Identifiants

pubmed: 38503562
pii: 7632139
doi: 10.1093/femsec/fiae027
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of FEMS.

Auteurs

Gontran Arnault (G)

Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Coralie Marais (C)

Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Anne Préveaux (A)

Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Martial Briand (M)

Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Anne-Sophie Poisson (AS)

Groupe d'Étude et de Contrôle des Variétés et des Semences (GEVES), Angers, France.

Alain Sarniguet (A)

Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Matthieu Barret (M)

Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Marie Simonin (M)

Univ Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Classifications MeSH