Non-Dominant Genotypes (GII, GIV and GV) of Japanese Encephalitis Virus Exhibit an Elevated Evolutionary Rate in Nature

Numerous studies have demonstrated that the Japanese encephalitis virus (JEV) is classified into five genotypes. Historically, JEV GIII and GI were the dominant strains before and after the 1990s, respectively. Recently, the non-dominant genotypes have been implicated in numerous JE outbreaks, posing significant public health challenges. This study conducted a comprehensive phylogenetic analysis of 126 JEVs covering five genotypes from 1938 to 2025 globally. Notably, it is the first study to conduct a time to most recent common ancestor (tMRCA) analysis of JEV GII. The findings indicate the common ancestor of JEV emerged approximately 1081 years ago, followed by the sequential evolution of GV, GIII, GI, GII, and GIV, which are estimated to have originated approximately 237, 184, 138, 130, and 113 years ago, respectively. The overall evolutionary rate of JEV was 3.3 × 10<sup>-4</sup> substitutions/site/year, with genotype specific rates as follows: GI at 7.3 × 10<sup>-4</sup>, GII at 8.2 × 10<sup>-4</sup>, GIII at 4.4 × 10<sup>-5</sup>, GIV at 1.7 × 10<sup>-3</sup>, and GV at 2.2 × 10<sup>-3</sup>. Significant differences were found between the E protein of recent human-derived JEV strains across five genotypes and the vaccine strain. This aligns with evidence of the current JE vaccine's reduced efficacy against new strains, underscoring the urgent need for broadly protective JE vaccines.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2025-12-08
DOI
https://doi.org/10.3390/microorganisms13122792
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Non-Dominant Genotypes (GII, GIV and GV) of Japanese Encephalitis Virus Exhibit an Elevated Evolutionary Rate in Nature

Xiaoping Xia, Hong Liu, Limin Zhen, Zeyu Wang et al.
Microorganisms
Mosquito-borne diseases and control
article

Non-Dominant Genotypes (GII, GIV and GV) of Japanese Encephalitis Virus Exhibit an Elevated Evolutionary Rate in Nature

Xiaoping Xia, Hong Liu, Limin Zhen, Zeyu Wang, A. Farid, Baoqiu Cui, Zhijie Wang, Guodong Liang, Xiaofeng Sun, Kaiyue Wei
article en

Abstract

Numerous studies have demonstrated that the Japanese encephalitis virus (JEV) is classified into five genotypes. Historically, JEV GIII and GI were the dominant strains before and after the 1990s, respectively. Recently, the non-dominant genotypes have been implicated in numerous JE outbreaks, posing significant public health challenges. This study conducted a comprehensive phylogenetic analysis of 126 JEVs covering five genotypes from 1938 to 2025 globally. Notably, it is the first study to conduct a time to most recent common ancestor (tMRCA) analysis of JEV GII. The findings indicate the common ancestor of JEV emerged approximately 1081 years ago, followed by the sequential evolution of GV, GIII, GI, GII, and GIV, which are estimated to have originated approximately 237, 184, 138, 130, and 113 years ago, respectively. The overall evolutionary rate of JEV was 3.3 × 10<sup>-4</sup> substitutions/site/year, with genotype specific rates as follows: GI at 7.3 × 10<sup>-4</sup>, GII at 8.2 × 10<sup>-4</sup>, GIII at 4.4 × 10<sup>-5</sup>, GIV at 1.7 × 10<sup>-3</sup>, and GV at 2.2 × 10<sup>-3</sup>. Significant differences were found between the E protein of recent human-derived JEV strains across five genotypes and the vaccine strain. This aligns with evidence of the current JE vaccine's reduced efficacy against new strains, underscoring the urgent need for broadly protective JE vaccines.

MicroorganismsVol. 13(12)
Shandong University of Technology (CN), National Institute for Viral Disease Control and Prevention (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 50%
Mosquito-borne diseases and control
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.