Abstract
Horizontal Gene Transfer (HGT) plays an important and indispensable role in the evolution of bacterial genomes, serving as a mechanism that contributes to genetic diversity and enables adaptation across phylogenetically distant taxa. This study introduces an analysis tool implemented as an R package for detecting HGT events in diverse bacterial lineages. The tool combines the integration of a heat-map matrix with phylogenetic analysis visualization techniques to enhance the accuracy and efficiency of HGT event detection. We applied it to a diverse set of bacterial genomes from chicken and pig gut and expanded the results with established methods for HGT detection. The findings demonstrate the capability of our visualization techniques to pinpoint HGT events, offering a valuable tool for researchers to explore the intricate dynamics of bacterial genome evolution.
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Acknowledgments
This work has been funded by the Czech Science Foundation (22-16786S) to DC.
Computational resources were provided by the e-INFRA CZ project (ID:90140), supported by the Ministry of Education, Youth and Sports of the Czech Republic.
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Schwarzerova, J. et al. (2024). Visualizing Horizontal Gene Transfer Detection in Phylogenetically Divergent Bacteria. In: Rojas, I., Ortuño, F., Rojas, F., Herrera, L.J., Valenzuela, O. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2024. Lecture Notes in Computer Science(), vol 14849. Springer, Cham. https://doi.org/10.1007/978-3-031-64636-2_20
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DOI: https://doi.org/10.1007/978-3-031-64636-2_20
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