Genetic diversity of Aedes aegypti and Aedes albopictus from cohabiting fields in Hainan Island and the Leizhou Peninsula, China

Genetic diversity of Flaviviridae and Rhabdoviridae EVEs in Aedes aegypti and Aedes albopictus on Hainan Island and the Leizhou Peninsula, China

BACKGROUND

Hainan Island and the Leizhou Peninsula, the southernmost part of mainland China, are areas where Aedes aegypti and Ae. albopictus are sympatric and are also high-incidence areas of dengue outbreaks in China. Many studies have suggested that Aedes endogenous viral components (EVEs) are enriched in piRNA clusters which can silence incoming viral genomes. Investigation the EVEs present in the piRNA clusters associated with viral infection of Aedes mosquitoes in these regions may provide a theoretical basis for novel transmission-blocking vector control strategies.

METHODS

In this study, specific primers for endogenous Flaviviridae elements (EFVEs) and endogenous Rhabdoviridae elements (ERVEs) were used to detect the distribution of Zika virus infection associated EVEs in the genomes of individuals of the two Aedes mosquitoes. Genetic diversity of EVEs with a high detection rate was also analyzed.

RESULTS

The results showed that many EVEs associated with Zika virus infection were detected in both Aedes species, with the detection rates were 47.68% to 100% in Ae. aegypti and 36.15% to 92.31% in sympatric Ae. albopictus populations. EVEs detection rates in another 17 Ae. albopictus populations ranged from 29.39% to 89.85%. Genetic diversity analyses of the four EVEs (AaFlavi53, AaRha61, AaRha91 and AaRha100) of Ae. aegypti showed that each had high haplotype diversity and low nucleotide diversity. The number of haplotypes in AaFlavi53 was 8, with the dominant haplotype being Hap_1 and the other 7 haplotypes being further mutated from Hap_1 in a lineage direction. In contrast, the haplotype diversity of the other three ERVEs (AaRha61, AaRha91 and AaRha100) was more diverse and richer, with the haplotype numbers were 9, 15 and 19 respectively. In addition, these EVEs all showed inconsistent patterns of both population differentiation and dispersal compared to neutral evolutionary genes such as the Mitochondrial COI gene.

CONCLUSION

The EFVEs and ERVEs tested were present at high frequencies in the field Aedes mosquito populations. The haplotype diversity of the EFVE AaFlavi53 was relatively lower and the three ERVEs (AaRha61, AaRha91, AaRha100) were higher. None of the four EVEs could be indicative of the genetic diversity of the Ae. aegypti population. This study provided theoretical support for the use of EVEs to block arbovirus transmission, but further research is needed into the mechanisms by which these EVEs are antiviral to Aedes mosquitoes.

Population genetics of Aedes albopictus in the port cities of Hainan Island and Leizhou Peninsula, China

BACKGROUND

Aedes albopictus is an important vector of arboviral diseases, transmitting yellow fever, dengue fever, chikungunya and Zika. Monitoring its population genetic diversity and genetic differentiation has become essential for the control of infectious disease epidemics, especially in the functional areas of ports of entry. Population genetic monitoring of Ae. albopictus in the port area can help in the monitoring of port mosquito invasions and establishing port sanitary and quarantine measures to prevent the introduction and transmission of vector-borne diseases.

METHODS

Seventeen populations of Ae. albopictus were collected from five port cities on Hainan Island and the Leizhou Peninsula, 8 populations were collected from port areas, 4 from urban areas and 5 from rural areas. Nine microsatellite loci and the mitochondrial COI gene were used to study the population genetic diversity, population genetic structure and interpopulation gene flow of Ae. albopictus.

RESULTS

The nine microsatellite loci used were highly polymorphic, with an average PIC value of 0.768. The UPGMA genetic tree, STRUCTURE barplot and PCoA analyses showed that the 17 Ae. albopictus populations could be divided into three genetic groups. All 17 populations showed high haplotype diversity (Hd = 0.8069-0.9678) and formed 133 distinct haplotypes. These haplotypes can be divided into four genetic clades, but they are not associated with the geographical distribution of Ae. albopictus. Fst and Nm showed strong gene flow and little differentiation among populations.

CONCLUSION

Ae. albopictus in port areas are not significantly different from urban and rural populations due to strong gene flow, which prevents differentiation and increases the genetic diversity of the populations. High genetic diversity facilitates mosquito adaptation to complex environmental changes, which is a challenge for vector-borne disease control in port areas.