Improvements in RNA and DNA nanopore sequencing allow for rapid genetic characterization of avian influenza

Avian influenza virus (AIV) currently causes a panzootic with extensive mortality in wild birds, poultry, and wild mammals, thus posing a major threat to global health and underscoring the need for efficient monitoring of its distribution and evolution. We here utilized a well-defined AIV strain to...

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Detalles Bibliográficos
Autores: Perlas Puente, Albert|||0000-0002-4035-2436, Reska, Tim, Croville, Guillaume, Tarrés-Freixas, Ferran|||0000-0002-1569-0126, Guérin, Jean-Luc, Majó i Masferrer, Natàlia|||0000-0003-0189-9751, Urban, Lara|||0000-0002-5445-9314
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:320994
Acceso en línea:https://ddd.uab.cat/record/320994
https://dx.doi.org/urn:doi:10.1093/ve/veaf010
Access Level:acceso abierto
Palabra clave:Avian influenza
Viral evolution
RNA modifications
Nanopore sequencing
Descripción
Sumario:Avian influenza virus (AIV) currently causes a panzootic with extensive mortality in wild birds, poultry, and wild mammals, thus posing a major threat to global health and underscoring the need for efficient monitoring of its distribution and evolution. We here utilized a well-defined AIV strain to systematically investigate AIV genetic characterization through rapid, portable nanopore sequencing by comparing the latest DNA and RNA nanopore sequencing approaches and various computational pipelines for viral consensus sequence generation and phylogenetic analysis. We show that the latest direct RNA nanopore sequencing updates improve consensus sequence generation, but that the application of the latest DNA nanopore chemistry after reverse transcription and amplification outperforms, such native viral RNA sequencing by achieving higher sequencing accuracy and throughput. We additionally leveraged the direct RNA nanopore sequencing data for the detection of RNA modifications, such as N 6 -methyladenosine and pseudouridine, which play a role in viral immune evasion. Finally, we applied these sequencing approaches together with portable AIV diagnosis and quantification tools to environmental samples from a poultry farm, demonstrating the feasibility of nanopore sequencing for on-site non-invasive AIV monitoring in real-world outbreak scenarios.