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Acta Trop. 2015 Dec;152:80-89. doi: 10.1016/j.actatropica.2015.08.012. Epub 2015 Aug 22.

A proteomic map of the unsequenced kala-azar vector Phlebotomus papatasi using cell line.

Author information

1
Department of Zoology, Savitribai Phule Pune University, Ganeshkhind, Pune 411007, India; Institute of Bioinformatics, International Technology Park, Bangalore 560066, India.
2
Institute of Bioinformatics, International Technology Park, Bangalore 560066, India; Manipal University, Madhav Nagar, Manipal 576104, India.
3
National Centre for Cell Science, Pune 411007, India.
4
Institute of Bioinformatics, International Technology Park, Bangalore 560066, India.
5
Armed Forces Medical College, Pashan, Pune 411021, India.
6
National Institute of Virology, Microbial Containment Complex, Pashan, Pune 411021, India.
7
Department of Zoology, Savitribai Phule Pune University, Ganeshkhind, Pune 411007, India.
8
Institute of Bioinformatics, International Technology Park, Bangalore 560066, India. Electronic address: harsha@ibioinformatics.org.
9
National Centre for Cell Science, Pune 411007, India. Electronic address: patole@nccs.res.in.

Abstract

The debilitating disease kala-azar or visceral leishmaniasis is caused by the kinetoplastid protozoan parasite Leishmania donovani. The parasite is transmitted by the hematophagous sand fly vector of the genus Phlebotomus in the old world and Lutzomyia in the new world. The predominant Phlebotomine species associated with the transmission of kala-azar are Phlebotomus papatasi and Phlebotomus argentipes. Understanding the molecular interaction of the sand fly and Leishmania, during the development of parasite within the sand fly gut is crucial to the understanding of the parasite life cycle. The complete genome sequences of sand flies (Phlebotomus and Lutzomyia) are currently not available and this hinders identification of proteins in the sand fly vector. The current study utilizes a three frame translated transcriptomic data of P. papatasi in the absence of genomic sequences to analyze the mass spectrometry data of P. papatasi cell line using a proteogenomic approach. Additionally, we have carried out the proteogenomic analysis of P. papatasi by comparative homology-based searches using related sequenced dipteran protein data. This study resulted in the identification of 1313 proteins from P. papatasi based on homology. Our study demonstrates the power of proteogenomic approaches in mapping the proteomes of unsequenced organisms.

KEYWORDS:

Comparative homology; Comparative proteogenomics; Disease vector; Hematophagous arthropod; Phlebotomus papatasi

[Indexed for MEDLINE]

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