Jingmen virus (JMV) is a group of viruses that belong to the Flaviviridae family. These viruses have been shown to cause widespread infections in various hosts and can lead to febrile illnesses in humans. Jingmen tick virus (JMTV) as an important member of the JMV group, has been detected in multiple countries worldwide and poses a significant threat to public health. This study utilized metagenomic sequencing technology to detect JMV in tick samples collected in Jiangsu Province. The results demonstrated the presence of JMTV in Jiangsu and identified two complete genomes (ZJ-7-4-2 and ZJ-7-9) from Haemaphysalis campanulate ticks. These gene sequences exhibited the highest sequence similarity to the known Japanese isolate of JMTV. Phylogenetic analysis showed that the JMTV identified in this study clustered within the same clade as the Japanese JMTV. In summary, this study reported for the first time that JMTV is prevalent in Jiangsu Province, China. These findings expand the known geographic distribution and genetic diversity of JMTV, providing new insights into its epidemiology and viral evolution.

Aedes aegypti is the primary vector of mosquito-borne viruses and threatens human health globally. To monitor temporal changes in the population genetics of Ae. aegypti in Yunnan Province, we collected specimens from five sites between 2016 and 2018 and analyzed them at nine microsatellite loci and the mitochondrial cox I gene. Genetic diversity in these populations rose initially and then declined over the study period. The inbreeding coefficient shifted from a heterozygous state toward moderate inbreeding. Ten cox I haplotypes were identified, with haplotypes H06 and H09 prevalent across regions, while other haplotypes were limited to specific regions or years. Clustering analyses demonstrated significant population shifts of Ae. aegypti across the five sampling sites from 2016 to 2018. AMOVA analysis of all Ae. aegypti populations indicated that from 2016 to 2018, the main source of variation was predominantly among individuals, accounting for 76.43%, 65.15%, and 80.36%, respectively. Population dispersion patterns across locations initially increased and then decreased over time. Therefore, continuous monitoring is essential, and particular attention should be paid to intra-provincial spread, especially between port and urban areas.