Inferring Staurosporine Gene Evolution In Bacteria Using Metagenomics Approach

EasyChair Preprint 2243

Abstract

Soil is predicted to contain thousands of unique bacterial species per gram. A large diversity of biosynthetic genes dwells in soil DNA from which diverse secondary metabolite gene clusters can be recovered and studied. The screening and heterologous expressions of an archived soil DNA library functionally identified biosynthetic gene cluster producing a potent anticancer/antibiotic compound i.e. Staurosporine. Simultaneously, a recently discovered obligate marine actinomycetes genus produces a diverse range of secondary metabolites including the compound Staurosporine. The amazing fact is that this genus resides in marine sediments and display fundamental physiological differences from those that occur on land. This short study predicted the diversity and evolution of the regulatory gene ranging from the primitive archean group to bacteria. It may help to screen the population from different geological niche for their potential role in synthesizing anticancer/antibiotic compounds. Metagenomics is the study of genetic materials of microbial DNA that are extracted directly from the environment. Culture independent studies of genomes unlock the hidden diversities of microscopic life and suggest that there is genes large group of microorganism exists in many environments that cannot be cultured. Also, it offers a powerful lens for exploring the microbial world that has the potential to revolutionize the living world. To measure phylogenetic diversity in microbial communities we have used the small subunit of the rRNA gene to quantify phylogenetic relationships among microbial taxa.

Keyphrases: Biosynthetic gene, Secondary metabolite genes, Staurosporine, marine Actinomycetes, orthologous gene, phylogenetic tree

@booklet{EasyChair:2243,
  author    = {Priya Kumari},
  title     = {Inferring Staurosporine Gene Evolution In Bacteria Using Metagenomics Approach},
  howpublished = {EasyChair Preprint 2243},
  year      = {EasyChair, 2019}}