Investigating the bacterial diversity and their metabolic capabilities are crucial for interpreting ecological patterns in desert environment, and assessing the presence of exploitable microbial resources. In this study, we evaluated the spatial heterogeneity of physico-chemical parameters, soil bacterial diversity and metabolic adaptation at meter scale. Soil samples were collected from two quadrates a desert environment (Thar Desert, India) which face hot arid climate with very little rainfall and extreme temperatures. Analysis of physico-chemical parameters and subsequent variance analysis (p-values < 0.05) revealed that sulfate, potassium and magnesium ions were the most variable between the quadrates. Microbial diversity of the two quadrates was studied using Illumina bar coded sequencing by targeting V3-V4 regions of 16S rDNA. As the results, 702504 high-quality sequence reads, assigned to 173 operationaltaxonomic units (OTUs) at species level. The most abundant phyla in both quadrates were Actinobacteria (38.72%), Proteobacteria (32.94%), and Acidobacteria (9.24%). At genus level, Gaiellarepresented highest prevalence, followed by Streptomyces, Solirubrobacter, Aciditerrimonas, Geminicoccus, Geodermatophilus, Microvirga, and Rubrobacter. Between the quadrates, significant difference (p-values < 0.05) was found in the abundance of Aciditerrimonas, Geodermatophilus Geminicoccus, Ilumatobacter, Marmoricola, Nakamurella and Solirubrobacter. Metabolic functional mapping revealed diverse biological activities, and was significantly correlated with physico-chemical parameters. The results revealed spatial variation of ions, microbial abundance and functional attributes in the studied quadrates, and patchy nature in local scale. Interestingly, abundance ofthe biotechnologically important phylum Actinobacteria, with large proposition of unclassified speciesin the desert suggested that this arid environment is the promising site for bioprospection.
Keywords: Desert; actinobacteria; arid soil; functional mapping; microbial diversity; spatial heterogeneity.