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Molecular detection of Leishmania spp in Lutzomyia longipalpis in the city of Lavras, Minas Gerais, Brazil.

J C CastroLilian Lacerda BuenoT F MilagresFelipe Dutra RêgoCélia Maria Ferreira GontijoAna Paula PeconickAndrey José de AndradeThales Augusto BarçanteJoziana Muniz de Paiva Barçante
Published in: Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas (2019)
Leishmaniasis is a neglected disease that affects a large part of the world population. Knowing the sand fly fauna of a region is of fundamental importance for guiding health surveillance actions related to the prevention and control of leishmaniasis. A total of 86 specimens of sand flies (60 females and 26 males) were collected. Using the classification proposed by Galati (2003), the following species were identified: Lutzomyia longipalpis (Lutz & Neiva, 1912), Migonemyia migonei (França, 1920), Evandromyia cortelezzi (Brethes, 1923), Ev. sallesi (Galvão & Coutinho, 1939), Nyssomyia whitmani (Atunes & Coutinho, 1939), Psathyromyia lutziana (Costa Lima, 1932), Ev. lenti (Mangabeira, 1938), Brumptomyia sp. (França and Parrot, 1921), and Pressatia sp. (Mangabeira, 1942). Using PCR with internal transcribed spacer target to identify infected sand flies, five Lu. longipalpis females were infected with Leishmania spp. Despite the small number of specimens collected, considerable species diversity was found in the study area.
Keyphrases
  • drinking water
  • public health
  • drosophila melanogaster
  • healthcare
  • machine learning
  • mental health
  • deep learning
  • fine needle aspiration
  • health information