Bioinformatics for One Health Surveillance: AMR and Zoonotic Threats

The field of bioinformatics has become a cornerstone of the One Health approach, which recognizes the interconnectedness of human, animal, and environmental health. In particular, the rapid advancement of genomic and metagenomic sequencing has transformed pathogen detection and surveillance, enabling high-resolution tracking of antimicrobial resistance (AMR) genes and zoonotic pathogens. However, translating large-scale genomic data into actionable insights requires integrative computational tools that can manage complexity across biological domains. The persistent rise of AMR and the increasing frequency of zoonotic spillover events underscore the need for advanced, cross-sectoral surveillance systems that unify diverse data sources to inform global health preparedness and policy.This Research Topic aims to explore the transformative potential of bioinformatics in improving One Health surveillance, focusing on the intersection between AMR dynamics and zoonotic threat detection. It seeks to advance understanding of how computational and statistical frameworks can be harnessed to integrate genetic, ecological, and epidemiological information. Key questions include how genomic data from different hosts and environments can be harmonized to predict transmission pathways, how machine learning might enhance detection of emerging resistance patterns, and how network-based analyses can reveal hotspots of microbial exchange across ecosystems. Through this Research Topic, we aim to highlight methodologies that move bioinformatics beyond discovery into the realm of early warning and intervention.To gather further insights in cross-sectoral computational approaches to One Health, we welcome articles addressing, but not limited to, the following themes:o Integration of genomic and metagenomic datasets from human, animal, and environmental sourceso Computational models for antimicrobial resistance surveillance and transmission mappingo Machine learning approaches for early detection of zoonotic pathogenso Network bioinformatics for tracking microbial flow across ecosystemso Comparative genomics of AMR genes and mobile genetic elementso Data visualization and standardization for interoperable One Health databaseso Cloud-based bioinformatics pipelines supporting global health monitoringWe welcome contributions in the form of original research, methods, reviews, and perspective articles. Topic editors: Dr. Reema Singh, Linda Boniface Oyama Source: https://www.frontiersin.org/research-topics/80997/bioinformatics-for-one-health-surveillance-amr-and-zoonotic-threats