Antarctic soils harbor highly specialized bacterial communities that perform essential functions in the functioning of polar ecosystems; however, the composition and structure of these communities remain poorly understood in many areas of Antarctica. The objective of this study was to characterize the diversity and structure of bacterial communities present in soils from four islands in the South Shetland Archipelago (Torre, Barrientos, Greenwich, and Dee) using 16S rRNA gene amplicon sequencing. Total genomic DNA was extracted from composite soil samples, followed by amplification of the 16S rRNA gene and sequencing on the Illumina MiSeq platform. Taxonomic classification allowed the sequences to be assigned from the domain level down to the species level, achieving classification rates between 98.47% and 99.39% at the domain level and between 57.39% and 65.88% at the species level. The bacterial communities were dominated by the phyla Bacillota, Pseudomonadota, Actinomycetota, and Bacteroidota, although variations in relative abundance patterns were observed among the composite samples analyzed. Alpha diversity indices revealed high taxonomic complexity, with greater species richness on Dee Island and greater evenness in Greenwich, highlighting differences in the diversity patterns observed among the composite samples analyzed. Taken together, these results expand our understanding of bacterial biodiversity in Antarctic soils and provide a baseline for future research in microbial ecology, biogeography, and the exploration of the biotechnological potential of microorganisms adapted to extreme environments.
In soils affected by the timber chemical plant and railway infrastructure, significant shifts in the relative abundance of specific taxonomic groups within the bacteriome were observed.
N. Bobryk, M. Kryvtsova, M. Spivak· Mikrobiolohichnyi zhurnal· 0 citations
It is indicated that salinity alone does not account for the differences among the microbial communities and suggest that local environmental conditions also influence the microbiota of G. lacustris from freshwater ecosystems in Kazakhstan.
S. Suleymenova, M. Kumar, S. Nuralibekov et al.· Animal Health and Biosafety· 1 citation
Functional annotation (KEGG) indicated dominance in core metabolic pathways, particularly carbohydrate and amino acid degradation, revealing complementary metabolic functions among dominant taxa with the potential for metabolic niche partitioning to support host energy harvest.
Different plant species were associated with distinct predicted functional taxa, which may serve as candidate biomarkers for soil remediation and candidate targets for future vegetation–microbe synergy studies in alpine mining area restoration.
Ge-Xue Bai, Qing-Qing Tan, Bing-Bing Han et al.· Microorganisms· 0 citations
Determining which members of a microbial community are metabolically active remains a central challenge in microbial ecology. Although the 16S rRNA gene is the dominant marker for bacterial community profiling, it cannot reliably distinguish active cells from dormant or dead populations. As a result, complementary phyl...
Fabien Cholet, William T. Sloan, Cindy J. Smith· bioRxiv· 0 citations
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