Metagenomics and culture dependent insights into the distribution of firmicutes across two different sample types located in the black hills region of South Dakota, USA

• Main Authors: Govil, Tanvi, Paste, Manasi, Samanta, Dipayan, David, Aditi, Goh, Kian Mau, Li, Xiangkai, Salem, David R., Sani, Rajesh K.
• Format: Article
• Published: MDPI AG 2021
• Subjects: QE Geology
• Online Access: http://eprints.utm.my/id/eprint/94958/; http://dx.doi.org/10.3390/microorganisms9010113

Firmicutes is almost a ubiquitous phylum. Several genera of this group, for instance, Geobacillus, are recognized for decomposing plant organic matter and for producing thermostable ligninolytic enzymes. Amplicon sequencing was used in this study to determine the prevalence and genetic diversity of the Firmicutes in two distinctly related environmental samples—South Dakota Landfill Compost (SDLC, 60?C), and Sanford Underground Research Facility sediments (SURF, 45?C). Although distinct microbial community compositions were observed, there was a dominance of Firmicutes in both the SDLC and SURF samples, followed by Proteobacteria. The abundant classes of bacteria in the SDLC site, within the phylum Firmicutes, were Bacilli (83.2%), and Clostridia (2.9%). In comparison, the sample from the SURF mine was dominated by the Clostridia (45.8%) and then Bacilli (20.1%). Within the class Bacilli, the SDLC sample had more diversity (a total of 11 genera with more than 1% operational taxonomic unit, OTU). On the other hand, SURF samples had just three genera, about 1% of the total population: Bacilli, Paenibacillus, and Solibacillus. With specific regard to Geobacillus, it was found to be present at a level of 0.07% and 2.5% in SURF and SDLC, respectively. Subsequently, culture isolations of endospore-forming Firmicutes members from these samples led to the isolation of a total of 117 isolates. According to colony morphologies, and identification based upon 16S rRNA and gyrB gene sequence analysis, we obtained 58 taxonomically distinct strains. Depending on the similarity indexes, a gyrB sequence comparison appeared more useful than 16S rRNA sequence analysis for inferring intra-and some intergeneric relationships between the isolates.