Identification of Taxa and Functional Pathway Information of Mycobacterium tuberculosis Microbiome and High Throughput Simulation Studies with Mycobacteriophage

DOI

10.2991/978-94-6463-164-7_16How to use a DOI?

Keywords

Mycobacterium tuberculosis; Microbiome; Mycobacteriophage lysine D29; next generation sequencing; global alignment; Operational taxonomic unit; Taxonomy; modeling; docking and molecular dynamics

Abstract

Tuberculosis caused by bacteria Mycobacterium tuberculosis. The bacteria usually attack the lungs, but TB bacteria can attack any part of the body such as the kidney, spine and brain. Mycobacterium tuberculosis in lungs microbiome can be studied by metamorphic mechanization specifically metatransriptomics sequencing. These sequencing allow us to investigate the DNA content, RNA content, bacterial taxa and functional pathways. Further by taking antibiotic resistant protein from bacteria, we establish that bacteriophage lysine BD29 (PDB-3HC7) can lyse mycolylarabinogalactan bonds and releases free mycolic acid. It do not show action on peptidoglycan bond. Based on information a full surface docking was performed. To verify assignment, a molecular dynamics simulations was performed to assess the stability of the docked substrates. MD simulation suggested hydrolytic activity of amino acids residues on Mycobacterium tuberculosis. Docking and simulation of bacteriophage D29 lysin B gene protein 12 with multiple antibiotic resistant proteins which takes part in transcription process in bacteria. Here, mycobacteriophage D29 showed a potent inhibition on action of antibiotic resistant protein during transcription process. This action resulted by modification or deactivation of amino acid residues.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Divya Verma
AU  - I. A. Shylesh Murthy
AU  - Preenon Bagchi
PY  - 2023
DA  - 2023/06/05
TI  - Identification of Taxa and Functional Pathway Information of Mycobacterium tuberculosis Microbiome and High Throughput Simulation Studies with Mycobacteriophage
BT  - Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)
PB  - Atlantis Press
SP  - 221
EP  - 238
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-164-7_16
DO  - 10.2991/978-94-6463-164-7_16
ID  - Verma2023
ER  -