• Tarini Shankar Ghosh

      Articles written in Journal of Biosciences

    • Eu-Detect: An algorithm for detecting eukaryotic sequences in metagenomic data sets

      Monzoorul Haque Mohammed Sudha Chadaram Dinakar Dinakar Komanduri Tarini Shankar Ghosh Sharmila S Mande

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      Physical partitioning techniques are routinely employed (during sample preparation stage) for segregating the prokaryotic and eukaryotic fractions of metagenomic samples. In spite of these efforts, several metagenomic studies focusing on bacterial and archaeal populations have reported the presence of contaminating eukaryotic sequences inmetagenomic data sets. Contaminating sequences originate not only from genomes of micro-eukaryotic species but also from genomes of (higher) eukaryotic host cells. The latter scenario usually occurs in the case of host-associatedmetagenomes. Identification and removal of contaminating sequences is important, since these sequences not only impact estimates of microbial diversity but also affect the accuracy of several downstream analyses. Currently, the computational techniques used for identifying contaminating eukaryotic sequences, being alignment based, are slow, inefficient, and require huge computing resources. In this article, we present Eu-Detect, an alignment-free algorithm that can rapidly identify eukaryotic sequences contaminating metagenomic data sets. Validation results indicate that on a desktop with modest hardware specifications, the Eu-Detect algorithm is able to rapidly segregate DNA sequence fragments of prokaryotic and eukaryotic origin, with high sensitivity. A Web server for the Eu-Detect algorithm is available at http://metagenomics.atc.tcs.com/Eu-Detect/.

    • In silico dissection of Type VII Secretion System components across bacteria: New directions towards functional characterization

      Chandrani Das Tarini Shankar Ghosh Sharmila S Mande

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      Type VII Secretion System (T7SS) is one of the factors involved in virulence of Mycobacteriun tuberculosis H37Rv. Numerous research efforts have been made in the last decade towards characterizing the components of this secretion system. An extensive genome-wide analysis through compilation of isolated information is required to obtain a global view of diverse characteristics and pathogenicity-related aspects of this machinery. The present study suggests that differences in structural components (of T7SS) between Actinobacteria and Firmicutes, observed earlier in a few organisms, is indeed a global trend. A few hitherto uncharacterized T7SS-like clusters have been identified in the pathogenic bacteria Enterococcus faecalis, Saccharomonospora viridis, Streptococcus equi, Streptococcuss gordonii and Streptococcus sanguinis. Experimental verification of these clusters can shed lights on their role in bacterial pathogenesis. Similarly, verification of the identified variants of T7SS clusters consisting additional membrane components may help in unraveling new mechanism of protein translocation through T7SS. A database of various components of T7SS has been developed to facilitate easy access and interpretation of T7SS related data.

    • Insights into horizontal acquisition patterns of dormancy and reactivation regulon genes in mycobacterial species using a partitioning-based framework


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      Horizontal Gene Transfer (HGT) events, initially thought to be rare in Mycobacterium tuberculosis, have recentlybeen shown to be involved in the acquisition of virulence operons in M. tuberculosis. We have developed a newpartitioning framework based HGT prediction algorithm, called Grid3M, and applied the same for the prediction ofHGTs in Mycobacteria. Validation and testing using simulated and real microbial genomes indicated better performanceof Grid3M as compared with other widely used HGT prediction methods. Specific analysis of the genesbelonging to dormancy/reactivation regulons across 14 mycobacterial genomes indicated that horizontal acquisition isspecifically restricted to important accessory proteins. The results also revealed Burkholderia species to be a probablesource of HGT genes belonging to these regulons. The current study provides a basis for similar analyses investigatingthe functional/evolutionary aspects of HGT genes in other pathogens. A database of Grid3M predicted HGTs incompletely sequenced genomes is available at https://metagenomics.atc.tcs.com/Grid3M/.

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