Publications des scientifiques de l'IRD

Richard Damien, Poulicard Nils. (2025). Data mining of public genomic repositories : harnessing off-target reads to expand microbial pathogen genomic resources. Peer Community Journal, 5, p. e110 [13 p.].

Titre du document
Data mining of public genomic repositories : harnessing off-target reads to expand microbial pathogen genomic resources
Année de publication
2025
Type de document
Article référencé dans le Web of Science WOS:001595475200001
Auteurs
Richard Damien, Poulicard Nils
Source
Peer Community Journal, 2025, 5, p. e110 [13 p.]
As sequencing technologies become more affordable and genomic databases expand continuously, the reuse of publicly available sequencing data emerges as a powerful strategy for studying microbial pathogens. Indeed, raw sequencing reads generated for the study of a given organism often contain reads originating from the associated microbiota. This review explores how such off-target reads can be detected and used for the study of microbial pathogens. We present genomic data mining as a method to identify relevant sequencing runs from petabase-scale databases, highlighting recent methodological advances that allow efficient database querying. We then briefly outline methods designed to retrieve relevant data and associated metadata, and provide an overview of common downstream analysis pipelines. We discuss how such approaches have (i) expanded the known genetic diversity of microbial pathogens, (ii) enriched our understanding of their spatiotemporal distribution, and (iii) highlighted previously unrecognized ecological interactions involving microbial pathogens. However, these analyses often rely on the completeness and accuracy of accompanying metadata, which remain highly variable. We detail common pitfalls, including data contamination and metadata misannotations, and suggest strategies for result interpretation. Ultimately, while data mining cannot replace dedicated studies, it constitutes an essential and complementary tool for microbial pathogen research. Broader utility will depend on improved data standardization and systematic genomic monitoring across ecosystems.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du milieu [021] ; Documentation [124]
Localisation
Fonds IRD [F B010095571]
Identifiant IRD
fdi:010095571
Contact