Degallier Nicolas, De Oliveira Monteiro H.A., Castro F.C., Da Silva O.V., Sa Filho G.C., Elguero Eric. (2006). An indirect estimation of the developmental time of Haemagogus janthinomys (Diptera : Culicidae), the main vector of yellow fever in South America. Studies on Neotropical Fauna and Environment, 41 (2), p. 117-122. ISSN 0165-0521.
Titre du document
An indirect estimation of the developmental time of Haemagogus janthinomys (Diptera : Culicidae), the main vector of yellow fever in South America
Degallier Nicolas, De Oliveira Monteiro H.A., Castro F.C., Da Silva O.V., Sa Filho G.C., Elguero Eric
Source
Studies on Neotropical Fauna and Environment, 2006,
41 (2), p. 117-122 ISSN 0165-0521
Haemagogus tropicalis is strictly a forest-dwelling species from the fertile valley area of the Amazônia forest. It is a diurnal mosquito, and the oviposition sites for the species include tree holes. The eggs of Hg. tropicalis used in this study were from females captured on Combú Island, situated across from the city of Belém, Guajará Bay, state of Pará, at 1°25'S latitude and 48°25'W longitude. The eggs are elliptical and average 575 µm long with a width of average 144 µm. The ventral surface of the chorionic reticulum has regular chorionic cells with hexagonal and sometimes pentagonal ornamentation. Each chorionic cell has a thick external chorionic reticulum with regular borders. The interior of the chorionic cells have small, evenly distributed tubercles, and the dorsal external chorionic reticulum appears porous. The micropylar apparatus, located on the anterior area of the egg, was formed by a collar with a well-developed frame. Centrally, the micropylar disc had a diameter of ?20 µm and the micropylar orifice is 2.1 µm in diameter. These data may enable construction of taxonomic keys for identifying eggs of Haemagogus species.
Plan de classement
Epidémiologie des arbovirus [052CULARB03]
Descripteurs
FIEVRE JAUNE ; TRANSMISSION ; VECTEUR ; MOUSTIQUE ; DENSITE DE POPULATION ; SAISON HUMIDE ; COEFFICIENT DE CORRELATION ; VARIATION SAISONNIERE ; ANALYSE STATISTIQUE