TY - JOUR
T1 - Virome profiling of Culex tarsalis through small RNA-seq
T2 - A challenge of suboptimal samples
AU - Manzano-Alvarez, Jaime
AU - Asad, Sultan
AU - Chaverra-Rodriguez, Duverney
AU - Suh, Eunho
AU - Rasgon, Jason L.
N1 - Publisher Copyright:
Copyright: © 2025 Manzano-Alvarez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2025/11/1
Y1 - 2025/11/1
N2 - Viral infections in mosquitoes trigger the RNA interference (RNAi) pathway, a key antiviral defense mechanism that generates virus-derived small RNAs (vsRNAs). Given the natural enrichment of vsRNAs during infection and their stability, small RNA sequencing (sRNA-seq) has emerged as a powerful tool for virome characterization. Culex tarsalis is a widely distributed mosquito species in North America and is an important vector of West Nile virus (WNV). Previous studies have shown that co-infection with insect-specific viruses (ISVs) can modulate WNV replication in Cx. tarsalis, highlighting the importance of characterizing the virome of this species. Here, we investigated the virome of Cx. tarsalis populations across 5 states of the Western United States using sRNA-seq. We analyzed samples from 17 geographic locations which were collected under suboptimal field conditions during the COVID-19 pandemic, presenting challenges related to sample integrity. Despite these challenges, sRNA-seq proved to be a reliable method for virome analysis. We identified a total of seven ISVs, all of which have been previously associated with Cx. tarsalis, along with their respective sRNA (siRNA and piRNA) profiles. The ISVs found here did not show a clear distribution pattern, but two of them (Marma virus and Culex narnavirus 1) were found in all sampled states. These findings not only deepen our understanding of ISVs, but also demonstrate the utility of sRNA-seq in non-ideal situations, enabling the collection and analysis of samples under real-world surveillance scenarios.
AB - Viral infections in mosquitoes trigger the RNA interference (RNAi) pathway, a key antiviral defense mechanism that generates virus-derived small RNAs (vsRNAs). Given the natural enrichment of vsRNAs during infection and their stability, small RNA sequencing (sRNA-seq) has emerged as a powerful tool for virome characterization. Culex tarsalis is a widely distributed mosquito species in North America and is an important vector of West Nile virus (WNV). Previous studies have shown that co-infection with insect-specific viruses (ISVs) can modulate WNV replication in Cx. tarsalis, highlighting the importance of characterizing the virome of this species. Here, we investigated the virome of Cx. tarsalis populations across 5 states of the Western United States using sRNA-seq. We analyzed samples from 17 geographic locations which were collected under suboptimal field conditions during the COVID-19 pandemic, presenting challenges related to sample integrity. Despite these challenges, sRNA-seq proved to be a reliable method for virome analysis. We identified a total of seven ISVs, all of which have been previously associated with Cx. tarsalis, along with their respective sRNA (siRNA and piRNA) profiles. The ISVs found here did not show a clear distribution pattern, but two of them (Marma virus and Culex narnavirus 1) were found in all sampled states. These findings not only deepen our understanding of ISVs, but also demonstrate the utility of sRNA-seq in non-ideal situations, enabling the collection and analysis of samples under real-world surveillance scenarios.
UR - https://www.scopus.com/pages/publications/105021146272
UR - https://www.scopus.com/pages/publications/105021146272#tab=citedBy
U2 - 10.1371/journal.pntd.0013611
DO - 10.1371/journal.pntd.0013611
M3 - Article
C2 - 41183106
AN - SCOPUS:105021146272
SN - 1935-2727
VL - 19
SP - e0013611
JO - PLoS neglected tropical diseases
JF - PLoS neglected tropical diseases
IS - 11
ER -