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Impact of plant age and genotype on xylem microbial network associations in cultivated olive trees
Impact of plant age and genotype on xylem microbial network associations in cultivated olive trees
- Publication Year :
- 2021
-
Abstract
- Understanding microbial associations through co-occurrence network analysis is a very effective tool to detect patterns of copresence and mutual exclusion among members of the plant-associated microbiome. By using 16S and ITS rRNA metagenomics equencing, we studied the associations of bacterial and fungal communities present in xylem sap of plantlets and adult olive trees of 'Picual', 'Arbequina', 'Arbosana', 'Frantoio' and 'Hojiblanca' olive varieties. Results based on the analysis of amplicon sequence variant and network assembly analysis showed distinct microbial association behaviors according to olive plant age and genotype. Thus, Pseudomonas, Bosea and Meiothermus showed the highest positive associations in the xylem of adult trees whereas Azospirillium, Rhizobium and Brevundimonas showed the greatest positive interactions in olive plantlets. Furthermore, MCODE method identified clusters of highly interconnected regions for each olive genotype, where Alternaria and Phaeococcomyces genera were unique to ‘Arbequina’; Rhizobium, Bradyrhizobium and Brevibacillus were exclusive to ‘Arbosana’; Gardnerella and Rathayibacter to ‘Frantoio’; Acinetobacter and Micrococcus to ‘Hojiblanca’ and Arthrobacter, Lawsonella, Massilia, Sphingopyxis, Thermaerobacter and Variovorax to ‘Picual’. Interestingly, Pseudomonas and Anoxybacillus were positioned at the network cores obtained when data were analyzed by plant age and plant genotype, respectively. Network association analysis has revealed new knowledge regarding specific microbial associations occurring among olive genotypes at different plant age, offering the identification of keystone xylem-inhabiting microbial species that may result determinant for olive growth and health.
Details
- Database :
- OAIster
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1333184912
- Document Type :
- Electronic Resource