vector diversity
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PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250059
Author(s):  
Rolando Torres-Cosme ◽  
Chystrie Rigg ◽  
Ana María Santamaría ◽  
Vanessa Vásquez ◽  
Carlos Victoria ◽  
...  

Background More than 85% of the malaria cases in Panama occur in poor, rural and indigenous regions like Darien Province. Vector diversity, infection rate and spatial distribution are important entomological parameters of malaria transmission dynamics. Their understanding is crucial for the development of effective disease control strategies. The objective of this study was to determine the composition of Anopheles species, their natural infection rate and their geographic distribution to better understand the malaria transmission dynamics in Darién, Panama. Methods Anophelines mosquitoes were captured during the rainy and dry season of 2016. We selected five communities where adult anophelines were collected using CDC light-traps, and through protective human-baited traps. Detection of natural infection and Plasmodium genotype were detected via nested PCR through the amplification of ssrRNA and the circumsporozoite protein gene (csp), respectively. Results A total of 1,063 mosquitoes were collected mosquitoes were collected for the detection of natural infection with Plasmodium spp. Nine Anophelines species were identified, with the predominant species being: An. (Nys.) darlingi (45.0%) and An. (Nys.) albimanus (42.6%). Natural infection in An. (Nys.) albimanus with P. vivax was detected in one mosquito pool from the community Pueblo Tortuga (0.6%), three from Marraganti (1.7%), two from Bajo Chiquito (1.1%) and three pools from Alto Playona 3 (1.7%). For An. (Nys.) darlingi mosquitoes, we detected seven positive pools from the community Bajo Chiquito (4.0%), two pools from Marraganti (1.1%) and two pools from Alto Playona (1.1%). The P. vivax allelic variant VK210 was detected in infected mosquitoes. Conclusion The results from this study provide new information on the transmission dynamics associated with anophelines vectors in the Darién region. This is the first report of natural P. vivax infection in An. (Nys.) darlingi and its incrimination as a potential malaria vector in this region of Panama. Additional studies are necessary to expand our knowledge and determine crucial parameters in malaria transmission in Darién, which in turn will aid the National Malaria Program in attaining an adequate malaria control strategy towards malaria elimination.


2020 ◽  
Vol 196 (3) ◽  
pp. E61-E70
Author(s):  
Amber Gigi Hoi ◽  
Benjamin Gilbert ◽  
Nicole Mideo

2020 ◽  
Vol 5 (2) ◽  
pp. 51
Author(s):  
Katherine I. Young ◽  
Joseph T. Medwid ◽  
Sasha R. Azar ◽  
Robert M. Huff ◽  
Hannah Drumm ◽  
...  

Land cover and land use change (LCLUC) acts as a catalyst for spillover of arthropod-borne pathogens into novel hosts by shifting host and vector diversity, abundance, and distribution, ultimately reshaping host–vector interactions. Identification of bloodmeals from wild-caught mosquitoes provides insight into host utilization of particular species in particular land cover types, and hence their potential role in pathogen maintenance and spillover. Here, we collected 134 blood-engorged mosquitoes comprising 10 taxa across 9 land cover types in Sarawak, Malaysian Borneo, a region experiencing intense LCLUC and concomitant spillover of arthropod-borne pathogens. Host sources of blood were successfully identified for 116 (87%) mosquitoes using cytochrome oxidase subunit I (COI) barcoding. A diverse range of hosts were identified, including reptiles, amphibians, birds, and mammals. Sixteen engorged Aedes albopictus, a major vector of dengue virus, were collected from seven land cover types and found to feed exclusively on humans (73%) and boar (27%). Culex tritaeniohynchus (n = 2), Cx. gelidus (n = 3), and Cx. quiquefasciatus (n = 3), vectors of Japanese encephalitis virus, fed on humans and pigs in the rural built-up land cover, creating potential transmission networks between these species. Our data support the use of COI barcoding to characterize mosquito–host networks in a biodiversity hotspot.


2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Brian P. Bourke ◽  
Jan E. Conn ◽  
Tatiane M. P. de Oliveira ◽  
Leonardo S. M. Chaves ◽  
Eduardo S. Bergo ◽  
...  

Virus Genes ◽  
2017 ◽  
Vol 53 (5) ◽  
pp. 675-683 ◽  
Author(s):  
Wenli Zhang ◽  
Anja Ehrhardt
Keyword(s):  

Cell Reports ◽  
2017 ◽  
Vol 19 (8) ◽  
pp. 1698-1709 ◽  
Author(s):  
Wenli Zhang ◽  
Jun Fu ◽  
Jing Liu ◽  
Hailong Wang ◽  
Maren Schiwon ◽  
...  
Keyword(s):  

2015 ◽  
Vol 23 ◽  
pp. S21
Author(s):  
Wenli Zhang ◽  
Jun Fu ◽  
Jing Liu ◽  
Hailong Wang ◽  
Eric Schulz ◽  
...  

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