HIGH-THROUGHPUT SEQUENCING ANALYSIS OF MICROBIAL POPULATIONS IN ARCTIC ROCK SAMPLE

  • Piyush Kumar Gupta Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras
  • Rama Shanker Verma Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras
  • Maria Frolova Department of Composite Materials and Environmental Engineering, Northern (Arctic) Federal University named after M.V. Lomonosov
  • Arkady Ayzenshtadt Department of Composite Materials and Environmental Engineering, Northern (Arctic) Federal University named after M.V. Lomonosov
Keywords: Rock nanoparticles, Basalt, Microbial population, Next-generation sequencing, Metagenomics, Nanomaterial toxicity

Abstract

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.

References

Huang Y.W., Cambre M., Lee H.J., The toxicity of nanoparticles depends on multiple molecular and physicochemical mechanisms, Int. J. Mol. Sci., 2017, 2702.

Love S.A., Maurer-Jones M.A., Thompson J.W., Lin Y.S., Haynes C.L., Assessing nanoparticle toxicity, Annu. Rev. Anal. Chem., 2012, 181-205.

Gliga A.R., Di Bucchianico S., Lindvall J., Fadeel B., Karlsson H. L., RNA-sequencing reveals long-term effects of silver nanoparticles on human lung cells, Sci. Rep., 2018, 6668.

Binh C.T., Tong T., Gaillard J.F., Gray K.A., Kelly J.J., Acute effects of TiO2 nanomaterials on the viability and taxonomic composition of aquatic bacterial communities assessed via high-throughput screening and next-generation sequencing, PLoS One, 2014, e106280.

Ayzenshtadt A.M., Frolova M.A., Makhova T.A., Danilov V.E., Gupta P.K., Verma R.S., Specifics of the methodological approach to the study of nanoparticle impact on human health in the production of non-metallic nanomaterials for construction purposes, IOP Conf. Ser.: Earth Environ. Sci., 2018, 012048.

Kaba S.I., Egorova E.M., In vitro studies of the toxic effects of silver nanoparticles on HeLa and U937 cells, Nanotechnol. Sci. Appl., 2015, 19-29.

Oulas A., Pavloudi C., Polymenakou P., Pavlopoulous G.A., Papanilolaou N., Kotoulas G., Arvanitidis C., Lliopoulous L., Metagenomics: Tools and insights for analyzing next-generation sequencing data derived from biodiversity studies, Bioinform. Biol. Insights, 2015, 75-88.

Published
2019-10-01
How to Cite
Gupta, P. K., Verma, R. S., Frolova, M., & Ayzenshtadt, A. (2019). HIGH-THROUGHPUT SEQUENCING ANALYSIS OF MICROBIAL POPULATIONS IN ARCTIC ROCK SAMPLE. SWS Journal of EARTH AND PLANETARY SCIENCES, 1(2), 29-38. https://doi.org/10.35603/eps2019/issue2.03
Section
NANO, BIO, GREEN AND SPACE - TECHNOLOGIES FOR A SUSTAINABLE FUTURE