Genomic Analyses Uncover Evolutionary Features of Influenza A/H3N2 Viruses in Yunnan Province, China, from 2017 to 2022

	Genomic Analyses Uncover Evolutionary Features of Influenza A/H3N2 Viruses in Yunnan Province, China, from 2017 to 2022
	Zhang, ML; Zhou, JA; Ni, RZ; Zhao, XN; Chen, YY; Sun, YH; Liu, ZS; Han, XY; Luo, CR; Fu, XQ; Shao, Y; Wang, LY
	2024
发表期刊	VIRUSES-BASEL
ISSN	1999-4915
卷号	16 期号:1
摘要	Influenza A viruses evolve at a high rate of nucleotide substitution, thereby requiring continuous monitoring to determine the efficacy of vaccines and antiviral drugs. In the current study, we performed whole-genome sequencing analyses of 253 influenza A/H3N2 strains from Yunnan Province, China, during 2017-2022. The hemagglutinin (HA) segments of Yunnan A/H3N2 strains isolated during 2017-2018 harbored a high genetic diversity due to heterogeneous distribution across branches. The mutation regularity of the predominant antigenic epitopes of HA segments in Yunnan was inconsistent in different years. Some important functional mutations in gene segments associated with viral adaptation and drug tolerance were revealed. The rapid genomic evolution of Yunnan A/H3N2 strains from 2017 to 2022 mainly concentrated on segments, i.e., matrix protein 2 (M2), non-structural protein 1 (NS1), neuraminidase (NA), NS2, and HA, with a high overall non-synonymous/synonymous substitution ratio (d(N)/d(S)). Our results highlighted a decline in vaccine efficacy against the A/H3N2 circulating strains, particularly against the Yunnan 2021-2022 A/H3N2 strains. These findings aid our understanding of evolutionary characteristics and epidemiological monitoring of the A/H3N2 viruses and provide in-depth insights into the protective efficacy of influenza vaccines.
收录类别	sci
语种	英语
文献类型	期刊论文
条目标识符	http://ir.kiz.ac.cn/handle/152453/14299
专题	科研部门_进化与发育转录组学（吴东东）
推荐引用方式 GB/T 7714	Zhang, ML,Zhou, JA,Ni, RZ,et al. Genomic Analyses Uncover Evolutionary Features of Influenza A/H3N2 Viruses in Yunnan Province, China, from 2017 to 2022[J]. VIRUSES-BASEL,2024,16(1).
APA	Zhang, ML.,Zhou, JA.,Ni, RZ.,Zhao, XN.,Chen, YY.,...&Wang, LY.(2024).Genomic Analyses Uncover Evolutionary Features of Influenza A/H3N2 Viruses in Yunnan Province, China, from 2017 to 2022.VIRUSES-BASEL,16(1).
MLA	Zhang, ML,et al."Genomic Analyses Uncover Evolutionary Features of Influenza A/H3N2 Viruses in Yunnan Province, China, from 2017 to 2022".VIRUSES-BASEL 16.1(2024).

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