HIGH-THROUGHPUT SEQUENCING ANALYSIS OF MICROBIAL POPULATIONS IN ARCTIC ROCK SAMPLE
Recent developments in the existing molecular genetic tools have augmented our current understanding towards the deleterious effects of nanoparticles on human health. During building construction, the rapid generation of nanoparticles has greatly affected to human with severe toxicity by generating free radicals inside their body as potential health hazards. However, there is still need of analyzing nanoparticle toxicity based on the type of microbial diversity present on surface and its potential impacts on human health. In this study, we used rocks as raw material collected from Arkhangelsk (arctic) region of Russia and fabricated into particles of nanometer range in size by planetary ball milling. The paper presents data of the elemental composition on the basis of which the value of the specific mass energy of atomization of the raw material of the rock was calculated. The energy parameters of the micro- and nanosystems of the sample were calculated: free surface energy and surface activity.
These nanoparticles were showing minimal cytotoxicity to human embryonic kidney cells in a dose-dependent manner. The high-throughput next-generation sequencing (NGS) was used to perform 16S rRNA metagenomic study for determining the type of microbial diversity present on nanoparticle’s surface. The first highest abundance was found for actinobacteria at phylum taxonomic level indicating a population of gram + ve bacteria having economic importance to human. The second highest abundance was seen for proteobacteria at similar taxonomic level exhibiting population of gram - ve bacteria causing pathogenicity in human. The highest abundance of top 25 microbial species was also discussed in this study. In future, this metagenomic study will also identify other microbial species based on 18S rRNA sequencing.
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