Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)

<Previous Article In Volume
Next Article In Volume>

Establishing the Taxa with Phylogenetic Profile and in-silico-ayurvedic Remedy of Microbiome of Bacterial Vaginosis

Authors
S. Geethashree1, *, I. A. Shylesh Murthy2, Preenon Bagchi1, 2, 3
1Padmashree Institute of Management and Sciences, Bengaluru, India
2Vasishth Academy of Advanced Studies and Research, (Sarvasumana Association), Bengaluru, India
3MGM Institute of Biosciences and Technology, Aurangabad, India
*Corresponding author. Email: geethashree175@gmail.com
Corresponding Author
S. Geethashree
Available Online 5 June 2023.
DOI
10.2991/978-94-6463-164-7_14How to use a DOI?
Keywords
Bacterial vaginosis; microbiome; Lactobacillus; polymicrobial flora; GWAS; metagenomics; next-generation sequencing; Ayurvedic medicinal herbs; Operational Taxonomic Units; taxonomy; modelling; Lipinski’s rule of five; docking
Abstract

Background: Bacterial vaginosis (BV) is a vaginal disease commonly caused by bacteria which most commonly causes abnormal vaginal discharge during women’s reproductive-age. BV is characterized by a shift within the vaginal flora from the dominant Lactobacillus to a polymicrobial flora and is further characterized by depletion of the resident lactic-acid-producing Lactobacillus spp. BV has been associated with serious health issues, including pelvic inflammatory disease and increased susceptibility to sexually transmitted diseases (STD) but itself is not a STD. Several genes and chromosomal regions have been found to be associated with BV in various linkage analyses, case-control studies, genome-wide association studies (GWAS), and admixture mapping studies.

Methods: In this work, using BV microbiome we perform metagenome analysis which enables us to understand how the microbiome responds to the host by studying the functional analysis of genes expressed. The technology is used to determine the order of nucleotides or targeted regions of DNA or RNA. Krona pie chart is used for visualization of the taxonomy.

Results: HUMAnN2 tool is used to determine the pathways and their abundance file of microbiome. Further, homology modelling of the BV gene receptors, Leucine Aminopeptidase 3 (LAP3) and Peptidase D (PEPD) was done and ligands from ayurvedic medicinal herbs were established.

Conclusion: The taxonomy and functional information of BV microbiome are identified.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)
Series
Advances in Health Sciences Research
Publication Date
5 June 2023
ISBN
978-94-6463-164-7
ISSN
2468-5739
DOI
10.2991/978-94-6463-164-7_14How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - S. Geethashree
AU  - I. A. Shylesh Murthy
AU  - Preenon Bagchi
PY  - 2023
DA  - 2023/06/05
TI  - Establishing the Taxa with Phylogenetic Profile and in-silico-ayurvedic Remedy of Microbiome of Bacterial Vaginosis
BT  - Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)
PB  - Atlantis Press
SP  - 178
EP  - 200
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-164-7_14
DO  - 10.2991/978-94-6463-164-7_14
ID  - Geethashree2023
ER  -