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Genetic insights into avian influenza resistance in Jeju Island chickens: the roles of Mx1 and oligoadenylate synthetase-like single nucleotide polymorphismsopen access

Authors
Young-Won Kim서현정Ju-Hee YangDong-Seob TarkWoo Hyun KimHyoung-Seok YangSeong Hwan MunSung Hyun KangEun-A KoJae-Hong Ko
Issue Date
Jan-2025
Publisher
Korean Society of Animal Sciences and Technology
Keywords
Avian influenza virus; H5N6; Viral resistance; Mx1; Oligoadenylate synthetaselike (OASL); Single nucleotide polymorphism
Citation
Journal of Animal Science and Technology, v.67, no.1, pp 69 - 85
Pages
17
Indexed
SCIE
SCOPUS
KCI
Journal Title
Journal of Animal Science and Technology
Volume
67
Number
1
Start Page
69
End Page
85
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/75882
DOI
10.5187/jast.2025.e10
ISSN
2672-0191
2055-0391
Abstract
Influenza A virus (FLUAV) causes serious diseases in both poultry and humans. Various host proteins, including Mx1, are considered candidates for avian influenza (AI) resistance. After infecting Jeju Native chicken embryo fibroblasts (CEFs) with three types of AI viruses, we performed gene expression profiling, identified single nucleotide polymorphisms (SNPs) through RNA-sequencing, and confirmed phenotypes showing antiviral activity in vitro. Highly pathogenic AI viruses upregulated FGF2, LYN, and FLT4 and downregulated HGF, ANGPT1, and ROR2, while a low pathogenicity AI upregulated PARK7, RACK1, and DTX3L and downregulated SIRT1, LRRK2, and WAC. However, no virus affected Mx1 expression. Although SNPs in Mx1 could not discriminate antiviral activity alone, the only CEF resistant to H5N6, strain AN4, contained the Mx1 631 R/R genotype and strongly expressed an oligoadenylate synthetase-like (OASL) variant with a unique SNP: c.G880A (p.E294K). Using transfected cell lines, H5N6-infected cells expressing OASL with the c.G880A SNP showed minimal cytopathic effects and the lowest M gene expression. This study confirms that Jeju Native chickens with specific SNP combinations in both Mx1 and OASL showed H5N6 resistance and demonstrates the interplay of genetic factors in host–pathogen dynamics, suggesting a need for integrated analyses of multiple resistance genes to inform AI prevention strategies.
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