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Published on: August 20, 2021
ExplorePipolin: reconstruction and annotation of piPolB-encoding bacterial mobile elements from draft genomes
L Chuprikova1, V Mateo-Cáceres1, M de Toro2
1Department of Biochemistry, School of Medicine, Universidad Autónoma de Madrid and Instituto de Investigaciones Biomédicas 'Alberto Sols' (UAM-CSIC), Madrid, Spain.
ExplorePipolin is a new Python pipeline for analyzing mobile genetic elements (MGEs) called pipolins. It reconstructs and annotates these elements in bacterial genomes, aiding in the fight against antimicrobial resistance.
Area of Science:
- Genomics
- Microbiology
- Bioinformatics
Background:
- Mobile genetic elements (MGEs) are crucial in bacterial evolution and the spread of antimicrobial resistance.
- Draft genomes often lack the contiguity needed for accurate MGE analysis.
- Pipolins, a superfamily of MGEs, exhibit diverse genomic structures and are challenging to analyze.
Purpose of the Study:
- To develop a computational tool for the accurate analysis of pipolins in bacterial genomes.
- To facilitate the reconstruction and annotation of pipolin elements from draft genomes.
- To support comparative genomics studies of these mobile genetic elements.
Main Methods:
- Developed ExplorePipolin, a Python-based bioinformatics pipeline.
- The pipeline screens for pipolin elements, reconstructs their structures from contigs, and annotates encoded genes.
- Utilizes a custom database for annotation and outputs standard file formats.
Main Results:
- ExplorePipolin successfully reconstructs and annotates pipolin elements from various bacterial genomes of differing quality.
- The pipeline can assemble pipolins fragmented across multiple contigs.
- Generated data is suitable for comparative genomic analyses.
Conclusions:
- ExplorePipolin provides a robust solution for analyzing pipolins, overcoming limitations of draft genomes.
- This tool aids in understanding the role of MGEs in bacterial adaptation and resistance.
- The pipeline is freely available, promoting further research in mobile element genomics.
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