Unraveling the mechanism behind the probable extinction of the B/Yamagata lineage of influenza B viruses

The COVID-19 pandemic caused an unprecedented disruption to the global circulation of influenza viruses. Among the most notable outcomes was the probable extinction of the B/Yamagata lineage of influenza B viruses, which has been rarely detected since March 2020. However, the underlying mechanism of the probable extinction is unknown. Here, we combine molecular, antigenic, and epidemiological data to explore the drivers of this phenomenon. Our analysis reveals that the probable extinction of B/Yamagata was driven by reduced transmission due to nonpharmaceutical interventions (NPIs) and a depleted susceptible population caused by conserved antigenicity and the 2017/2018 outbreak. Specifically, B/Yamagata exhibited slower antigenic evolution and alternating antigenic dominance compared to the co-circulating B/Victoria lineage, which was consistent with its weaker positive selection pressure. Simulation analysis suggests that B/Yamagata would maintain circulation if it underwent significant antigenic drift around the COVID-19 pandemic or if NPIs were not implemented. These findings provide a mechanistic explanation for the probable extinction of B/Yamagata and offer broader insights for controlling similar respiratory viruses.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-11-25
DOI
https://doi.org/10.1038/s41467-025-65396-6
Citations
2
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
2.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling the mechanism behind the probable extinction of the B/Yamagata lineage of influenza B viruses

Jialu Zheng, Zicheng Cao, Xuejie Du, Yousong Peng et al.
2 citations
Nature Communications
Influenza Virus Research Studies
2.71
article

Unraveling the mechanism behind the probable extinction of the B/Yamagata lineage of influenza B viruses

Jialu Zheng, Zicheng Cao, Xuejie Du, Yousong Peng, Xiangjun Du, Jiaxiao Shi, Wenping Xie, Zekai Qiu, Pei‐Wen Cheng, Jinfeng Zeng, Jian Chen, Yilin Chen, Xue Zhang, Chi Zhang, Qing Guo, Jingru Feng, Dayan Wang, Yuelong Shu, Taijiao Jiang, Ke Zhai, Wenjie Han
article en
2 citations

Abstract

The COVID-19 pandemic caused an unprecedented disruption to the global circulation of influenza viruses. Among the most notable outcomes was the probable extinction of the B/Yamagata lineage of influenza B viruses, which has been rarely detected since March 2020. However, the underlying mechanism of the probable extinction is unknown. Here, we combine molecular, antigenic, and epidemiological data to explore the drivers of this phenomenon. Our analysis reveals that the probable extinction of B/Yamagata was driven by reduced transmission due to nonpharmaceutical interventions (NPIs) and a depleted susceptible population caused by conserved antigenicity and the 2017/2018 outbreak. Specifically, B/Yamagata exhibited slower antigenic evolution and alternating antigenic dominance compared to the co-circulating B/Victoria lineage, which was consistent with its weaker positive selection pressure. Simulation analysis suggests that B/Yamagata would maintain circulation if it underwent significant antigenic drift around the COVID-19 pandemic or if NPIs were not implemented. These findings provide a mechanistic explanation for the probable extinction of B/Yamagata and offer broader insights for controlling similar respiratory viruses.

Nature CommunicationsVol. 16(1)
Sun Yat-sen University (CN), Hunan University (CN), Shenzhen University (CN), Chinese Center For Disease Control and Prevention (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fudan University (CN), Suzhou Polytechnic Institute of Agriculture (CN), Shantou University (CN), Guangzhou Experimental Station (CN), First Affiliated Hospital of Guangzhou Medical University (CN), Suzhou Institute of Systems Medicine (CN), National Institute for Viral Disease Control and Prevention (CN), Shenzhen University Health Science Center (CN), State Key Laboratory of Respiratory Disease (CN), Huazhong University of Science and Technology (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Sun Yat-sen University, National Key Research and Development Program of China
Openalex Percentile: Top 8%
Influenza Virus Research Studies
2.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.