Topological data analysis captures horizontal gene transfer in antimicrobial resistance gene families among clinically relevant bacteria
Shaday Guerrero-Flores, Haydeé Contreras-Peruyero, José María Ibarra-Rodríguez, José Abel Lovaco-Flores, Francisco Santiago Nieto-de la Rosa, Fernando Fontove-Herrera, Nelly Sélem-Mojica

TL;DR
This paper shows how topological data analysis can detect horizontal gene transfer in antibiotic resistance genes among bacteria, offering a new way to study resistance spread without genomic sequences.
Contribution
The paper introduces the use of persistent homology to identify horizontal gene transfer patterns in resistomes using topological 1-holes.
Findings
Simulations show two 1-holes form for every three genomes undergoing horizontal gene transfer.
1-holes were confirmed in a documented case of horizontal gene transfer between two bacterial genera.
Klebsiella and Escherichia resistomes show 1-holes, while Enterobacter does not.
Abstract
Antibiotic resistance, projected to cause 10 million deaths annually by 2050, remains a critical health threat. Hospitals drive multidrug resistance via horizontal gene transfer. The 2023 Critical Assessment of Massive Data Analysis challenge presents resistance markers from 146 Johns Hopkins bacterial isolates, aiming to analyze resistomes without metadata or genomic sequences. Persistent homology, a topological data analysis method, effectively captures processes beyond vertical inheritance. A 1-hole is a topological feature representing a loop or gap in the data, where relationships form a circular structure rather than a linear one. Unlike vertical inheritance, which lacks topological 1-holes, horizontal gene transfer generates distinct patterns. Since antimicrobial resistance genes often spread via horizontal gene transfer, we simulated vertical and horizontal inheritance in…
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Taxonomy
TopicsLeprosy Research and Treatment · Tuberculosis Research and Epidemiology · Gut microbiota and health
