Graph-Based AI for Tracking Horizontal Gene Transfer in Microbial Communities

Authors- MOHAN K

Abstract-– Horizontal gene transfer (HGT) is a pivotal mechanism in microbial evolution, enabling the exchange of genetic material between organisms and contributing to the spread of important traits such as antibiotic resistance. Understanding and tracking HGT events within microbial communities is crucial for addressing challenges in public health, environmental management, and industrial biotechnology. However, due to the complexity of microbial interactions and the diverse mechanisms through which HGT occurs, traditional methods often fail to capture the full scope of these processes. Graph-based artificial intelligence (AI) offers a promising approach to modeling and tracking HGT events, providing a powerful framework for understanding microbial gene exchange in ways that conventional techniques cannot. This article explores the application of graph-based AI methods to study HGT dynamics and their potential in tracking and predicting gene transfer events within microbial communities.

DOI: /10.61463/ijset.vol.13.issue2.426