Literature DB >> 30871992

Identification of phlebotomine sand flies through MALDI-TOF mass spectrometry and in-house reference database.

Francesca Arfuso1, Gabriella Gaglio1, Jessica Maria Abbate1, Giulia Caracappa1, Angelo Lupia2, Ettore Napoli1, Filippo Giarratana1, Maria Stefania Latrofa3, Salvatore Giannetto1, Domenico Otranto3, Emanuele Brianti4.   

Abstract

Phlebotomine sand flies are vectors for many pathogens responsible for human and animal diseases worldwide. Their identification at species level is of importance in epidemiological studies and control programmes. MALDI-TOF MS has been increasingly investigated as an alternative approach to the conventional identification of arthropods species. To establish an in-house protein spectra database for a quick and reliable species identification of phlebotomine sand flies, 166 field-caught sand fly specimens, morphologically identified as Phlebotomus perniciosus (no = 56; 26 males and 30 females), Phlebotomus neglectus (no = 4 males), Phlebotomus sergenti (no = 6; 4 males and 2 females) and Sergentomyia minuta (no = 100; 45 males and 55 females), were subjected to MALDI-TOF MS analyses. Out of 166, 149 specimens (89.8%) produced consistent species-specific protein spectra. Good quality database for P. perniciosus and S. minuta were generated; no databases have yet constructed for P. neglectus and P. sergenti due to the low number of specimens examined. The identification of 80 sand flies (no = 20 P. perniciosus; no = 60 S. minuta) were confirmed using the new generated SuperSpectra as validation test. The results reported support the use of MALDI-TOF MS for rapid, simple and reliable phlebotomine sand fly species identification suggesting its usefulness in accurate survey studies, ultimately improving biological and epidemiological knowledge on these important vectors of pathogens.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  MALDI-TOF MS; Phlebotomus spp.; Protein spectra; Sergentomyia minuta; Species identification

Mesh:

Year:  2019        PMID: 30871992     DOI: 10.1016/j.actatropica.2019.03.015

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  2 in total

1.  Using MALDI-TOF mass spectrometry to identify ticks collected on domestic and wild animals from the Democratic Republic of the Congo.

Authors:  Steve Ngoy; Adama Zan Diarra; Anne Laudisoit; Guy-Crispin Gembu; Erik Verheyen; Onésime Mubenga; Sylvestre Gambalemoke Mbalitini; Pascal Baelo; Maureen Laroche; Philippe Parola
Journal:  Exp Appl Acarol       Date:  2021-06-19       Impact factor: 2.132

2.  An integrative approach to identify sand fly vectors of leishmaniasis in Ethiopia by morphological and molecular techniques.

Authors:  Myrthe Pareyn; Vit Dvorak; Petr Halada; Natalie Van Houtte; Nigatu Girma; Wim de Kesel; Behailu Merdekios; Fekadu Massebo; Herwig Leirs; Petr Volf
Journal:  Parasit Vectors       Date:  2020-11-17       Impact factor: 3.876

  2 in total

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