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Publikationstyp: Zeitschriftenaufsatz
Dokumenttyp: Originalarbeit

Jahr: 2017

AutorInnen: Mazumdar, R; Endler, L; Monoyios, A; Hess, M; Bilic, I

Titel: Establishment of a de novo Reference Transcriptome of Histomonas meleagridis Reveals Basic Insights About Biological Functions and Potential Pathogenic Mechanisms of the Parasite.

Quelle: Protist. 2017; 168(6):663-685

Autor/innen der Vetmeduni Vienna:

Bilic Ivana
Endler Lukas
Hess Michael
Mazumdar Rounik

Beteiligte Vetmed-Organisationseinheiten
Universitätsklinik für Geflügel und Fische, Klinische Abteilung für Geflügelmedizin
Plattform Bioinformatik und Biostatistik

Zugehörige(s) Projekt(e): Entschlüsselung von Histomonas meleagridis Virulenzfaktoren

The protozoan flagellate Histomonas meleagridis is the causative agent of histomonosis in poultry. In turkeys, high mortality might be noticed whereas in chickens the disease is less severe despite production losses. Discovered over a century ago, molecular data on this parasite are scarce and genetic studies are in its infancy. To expand genomic information, a de novo transcriptome sequencing of H. meleagridis was performed from a virulent and an attenuated strain, cultivated in vitro as monoxenic mono-eukaryotic culture. Normalized cDNA libraries were prepared and sequenced on Roche 454 GS FLX resulting in 1.17 million reads with an average read length of 458bp. Sequencing reads were assembled into two sets of >4500 contigs, which were further integrated to establish a reference transcriptome for H. meleagridis consisting of 3356 contigs. Following gene ontology analysis, data mining provided novel biological insights into proteostasis, cytoskeleton, metabolism, environmental adaptation and potential pathogenic mechanisms of H. meleagridis. Finally, the transcriptome data was used to perform an in silico drug screen to identify potential anti-histomonal drugs. Altogether, data recruited from virulent and attenuated parasites facilitate a better understanding of the parasites' molecular biology aiding the development of novel diagnostics and future research.Copyright © 2017 The Author(s). Published by Elsevier GmbH.. All rights reserved.

Keywords Pubmed: Animals
Antitrichomonal Agentsanalysis
Computer Simulation
Drug Discovery
Genes, Protozoangenetics
Protozoan Infections, Animaldrug therapyparasitology
Sequence Analysis, DNAveterinary

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