A standardized protocol for the detection of arboviruses in different Aedes mosquito species in North Borneo Sabah, Malaysia

Adlar Ryan Ngiam, Saiful Anuar Ju Ahmad, Mohd Farid Alias, Mohd Arshil Moideen, Norsyahida Sulaiman, Song Quan Ong*, Eric Chong Tzyy Jiann, Ping Chin Lee, Sylvia Daim, Jodi M. Fiorenzano, Noel Cote, Andrew G. Letizia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Arboviruses, including dengue, Zika and chikungunya viruses, are mainly transmitted by Aedes mosquitoes and pose a threat to public health. The viruses are transmitted by the primary vector, Aedes aegypti, which is more commonly found in urban environments. However, with increasing urbanization, the overlap of rural and forested areas where different Aedes species are found could also contribute to transmission. Nevertheless, most extraction methods focus on human blood samples or on Ae. aegypti, which limits standardization of virus detection in a variety of less common Aedes populations, especially sylvatic species. In this study, we demonstrated a standardized protocol for extracting sufficient amounts of RNA for detection from a single mosquito sample. We validated the protocol by extracting arboviruses from six different Aedes species collected in the field in Sabah, Malaysia: Ae. aegypti, Ae. albopictus, Ae. poecilus, Ae. butleri, Ae. niveus, and Ae. vexans. Multiplex real-time PCR detection yielded consistent cycle threshold (Ct) values across species (range: 18.9–40.3), with a positivity cut-off of Ct < 41. Our results show that this protocol improves current practice by extending the target sample to different Aedes mosquito species, ultimately contributing to more efficient virus detection and supporting more comprehensive surveillance, even in ecologically diverse environments.

Original languageEnglish
Article number103549
JournalMethodsX
Volume15
DOIs
StatePublished - Dec 2025

Keywords

  • Aedes mosquitoes
  • Chikungunya
  • Dengue
  • Disease surveillance
  • Multiplex real-time PCR
  • RNA extraction
  • Vector control
  • Zika

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