Bacterial wilt resistance is correlated with rhizosphere bacterial communities in wild potato Solanum malmeanum
Ferreira, M. V.; Tourne, F.; Eastman, I.; Rodriguez-Esperon, M. C.; Rodriguez, G.; Gonzalez-Arcos, M.; Vilaro, F.; Galvan, G.; Gaiero, P.; Larama, G.; Gonzalez, M.; Platero, R.; Siri, M. I.
Show abstract
Wild potatoes are long-evolving relatives of the cultivated potatoes we have today. These wild Solanum species harbor traits that can be exploited to develop more nutritive and resilient potato varieties, providing the genetic basis for resistance to abiotic and biotic stresses such as drought, low temperatures, diseases and pests. Wild potato species are widely used as valuable genetic resources in breeding programs, including efforts aimed at improving resistance to bacterial wilt caused by Ralstonia solanacearum. Among the wild species native to Uruguay, Solanum malmeanum has emerged as a particularly valuable source of resistance. The aim of this work was to investigate weather differences in bacterial wilt resistance among S. malmeanum accessions are associated with structural and compositional changes of rhizosphere bacterial communities. Two S. malmeanum accessions were compared, one susceptible (RN9P2) and the other resistant (A11P1) to bacterial wilt. The impact of plant resistance and pathogen colonization on the structure of rhizosphere bacterial communities were evaluated using high throughput 16S rRNA gene amplicon-sequencing. Significant differences were observed between accessions and pronounced shifts in rhizosphere bacterial communities were detected in response to pathogen inoculation. Cryseobacterium, Sphingobacterium, Komagataeibacter, Gluconobacter, Lactobacillus and Dyella were differential genera and enriched in the rhizosphere of the resistant accession. Several of these genera have been previously associated with disease suppression. Overall, these results suggest that the rhizosphere bacterial community associated with resistant S. malmeanum accessions may contribute to protection against R. solanacearum infection.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.