FluMut: a tool for mutation surveillance in highly pathogenic H5N1 genomes.

IF 5.5 2区 医学 Q1 VIROLOGY Virus Evolution Pub Date : 2025-03-07 eCollection Date: 2025-01-01 DOI:10.1093/ve/veaf011
Edoardo Giussani, Alessandro Sartori, Angela Salomoni, Lara Cavicchio, Cristian de Battisti, Ambra Pastori, Maria Varotto, Bianca Zecchin, Joseph Hughes, Isabella Monne, Alice Fusaro
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Abstract

Over the past century, Influenza A virus (IAV) has caused four of the five reported pandemics, all of which originated from viruses possessing genome segments of avian origin. The recent spread of highly pathogenic avian influenza (HPAI) viruses, particularly the clade 2.3.4.4b A(H5N1) subtype, has led to an alarming increase in mammalian infections, raising concerns about the potential for future pandemics. In response to this, we developed FluMut, an open-source, cross-platform tool designed to identify molecular markers with potential impacts on H5N1 virus phenotypes. FluMut leverages an up-to-date database, FluMutDB, to rapidly analyze thousands of nucleotide sequences, identifying mutations associated with host adaptation, increased virulence, and antiviral resistance. The tool is available both as a command-line interface and a user-friendly graphical interface, making it accessible to researchers with varying levels of computational expertise. FluMut provides comprehensive outputs, including tables of detected markers, their biological effects, and corresponding literature references. This tool fills a critical gap in the genomic surveillance of HPAI H5N1, facilitating real-time monitoring of viral evolution and aiding in the identification of mutations that may signal increased pandemic potential. Future updates will extend FluMut's capabilities to other influenza subtypes.

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IF 0.9 4区 生物学ZootaxaPub Date : 2024-03-05 DOI: 10.11646/zootaxa.5419.1.5
Hiroki Nakajima, Yoshihisa Fujita, Masayuki Osawa
来源期刊
Virus Evolution
Virus Evolution Immunology and Microbiology-Microbiology
CiteScore
10.50
自引率
5.70%
发文量
108
审稿时长
14 weeks
期刊介绍: Virus Evolution is a new Open Access journal focusing on the long-term evolution of viruses, viruses as a model system for studying evolutionary processes, viral molecular epidemiology and environmental virology. The aim of the journal is to provide a forum for original research papers, reviews, commentaries and a venue for in-depth discussion on the topics relevant to virus evolution.
期刊最新文献
Genomic variants and molecular epidemiological characteristics of dengue virus in China revealed by genome-wide analysis. FluMut: a tool for mutation surveillance in highly pathogenic H5N1 genomes. Multiple, diverse endogenous giant virus elements within the genome of a brown alga. Sequence analysis of the hepatitis D virus across genotypes reveals highly conserved regions amidst evidence of recombination. Recently reported SARS-CoV-2 genomes suggested to be intermediate between the two early main lineages are instead likely derived.
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