Molecular patterns of matrix protein 1 (M1): A strong predictor of adaptive evolution in H9N2 avian influenza viruses
Abstract
The H9N2 subtype of avian influenza virus (AIV) emerges as a significant member of the influenza A virus family. However, the varying degrees of epidemiological dominance among different lineages or clades of H9N2 AIVs have not been fully clarified. The matrix protein M1, a key structural component of the virion, plays a crucial role in maintaining the viral structure and lifecycle. To elucidate the intrinsic relationship between the genetic patterns of M1 and the adaptive dynamics of H9N2 AIVs, this study focused on the five major evolutionary patterns of M1 and conducted in vitro and in vivo investigations from the perspectives of vRNP release after viral uncoating, polymerase activity, mRNA and vRNA levels, the nuclear export of vRNPs, plasma membrane–binding capacity, proliferation capacity, growth competitiveness, and transmission potential. The results revealed a strong correlation between the epidemiological dominance of H9N2 AIVs and the specific patterns of M1, with M1 P5 standing out as particularly significant. This finding highlights the pivotal influence of the M1 gene patterns on the replication and transmission dynamics of H9N2 AIVs, thereby offering valuable insights into the mechanisms driving differences in adaptive evolution and shifts in epidemiological dominance within the H9N2 AIV population.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (11)
Yanting Zhu
State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Department of Animal Infectious Disease and College of Veterinary Medicine, Jilin University
Yulin Cong
State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering
Yixue Sun
Jilin Research & Development Center of Biomedical Engineering, Changchun University
Shouzhi Sheng
State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Department of Animal Infectious Disease and College of Veterinary Medicine, Jilin University
Chang Liu
Jianfeng Jiang
Siqi Li
Pengju Zhang
Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences
Chao Gao
Jinghui Zhao
State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Department of Animal Infectious Disease and College of Veterinary Medicine, Jilin University
Yanlong Cong
State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Department of Animal Infectious Disease and College of Veterinary Medicine, Jilin University