Host plant rhizo-microbiome interactions: Seasonal variation and microbial community structure analysis associated with Barleria prionitis

Abstract

The host plant root ecosystem, microorganisms and the soil forms below the ground rhizo-microbiome environment in the rhizosphere soil of the associated host plant species. Microorganisms comprising the associated biomes deliberately modulate the mutual relationships with distinct genomic attributes improving the overall fitness in specific ecological and environmental habitats including the pathogenic behavior and symbiosis. Identification of the natural host microbial diversity is key features of the understanding the host plant rhizomicrobiome interaction dynamics. These interactions play pivotal role in plant adaption and ecological behavior of the most widely distributed plant species across the world. In this research study, microbial diversity assessment of the Barleria prionitis . has been investigated under the different environmental conditions. The dominant microbial communities at phylum level were represented by Proteobacteria , Actinobacteria , Firmicutes , and Actinobacteria . Similarly, at the family level Bacillaceae, Pseudonocardiaceae, Streptosporangiaceae, Pseudomonadaceae , and Solibacteraceae . Apart from the bacterial domains, actinomycetes were also found to be dominant in rhizosphere samples along with the taxonomically unclassified sequences. Further, functional genomics approach can reveal the role of the harboring microbial communities identified in the rhizosphere metagenomics approach using 16S ribosomal RNA (rRNA) gene amplicon sequencing approach. Furthermore, investigating the season variations of rhizomicrobiome interactions could infer the microbial community structure dynamics and its potential role in nutrient uptake, climate resilience, phytopathology and disease resistance in various ecosystems. • Microbial community structure analysis of the Barleria prionitis in natural ecosystem. • Core microbiome analysis and microbial co-occurrence network analysis revealed the dominant taxa. • Host dynamics and rhizomicrobiome interactions and seasonal variations in microbial diversity.