In silico functional prediction and characterization of selected Theileria parva hypothetical proteins

dc.contributor.authorMahlobo, Bongiwe Priscah
dc.contributor.authorMokoena, F.
dc.contributor.authorMatjila, Paul Tshepo
dc.contributor.authorSibeko-Matjila, Kgomotso Penelope
dc.contributor.otherUniversity of Pretoria. Faculty of Veterinary Science. Dept. of Veterinary Tropical Diseases
dc.contributor.otherUniversity of Pretoria. Faculty of Veterinary Science. Dept. of Life and Consumer Sciences
dc.date.accessioned2017-07-21T09:50:27Z
dc.date.available2017-07-21T09:50:27Z
dc.date.created2016-07-28
dc.date.issued2016-08-25
dc.descriptionPoster presented at the University of Pretoria, Faculty of Veterinary Science Faculty Day, August 25, 2016, Pretoria, South Africa.en_ZA
dc.description.abstractCattle theileriosis is infamous for hampering the economic development of south, central and east African countries due to exorbitant numbers of cattle mortalities. The disease is caused by Theileria parva, an important tick-transmitted haemoprotozoan parasite that belongs to the phylum Apicomplexa. Infection of cattle with cattle-derived T. parva isolates is responsible for East Coast fever while infections by buffalo-derived isolates results in Corridor disease. A transcriptome study comparing two T. parva isolates, representing cattle- and buffalo-derived parasites, identified 1089 differentially expressed transcripts (DETs). Analysis of DETs revealed 593 (54.4%) hypothetical proteins (HPs). These proteins are believed that they could be crucial in understanding the diseases caused by T. parva infections. Thus, this study purposed to characterize these proteins. The initial screening using sequence similarity searches led to designation of sequence descriptions for 284 HPs; this report focuses on the analysis of the remaining 309. Applying an integrated bioinformatics approach including a variety of domains discovery tools, protein family classification systems and approaches that are based on amino acid sequence characteristic, as well as 3D structures predictions, functions of these HPs were predicted. Furthermore, information of functionally characterized homologs, subcellular localization and functional partners of HPs was considered in the analysis. Overall, n = 193 HPs were successfully annotated for function and some of these were virulent proteins, significant in the survival of the pathogen in the host. Subcellular localization revealed three HPs that could be investigated as possible therapeutic targets. Secretome analysis revealed 57 HPs containing signal peptides, suggesting possible interactions with the host. The results of this study will facilitate a better understanding of the mechanism of pathogenesis of cattle theileriosis caused by T. parva and development of more effective disease control strategies.en_ZA
dc.description.librarianab2017en_ZA
dc.format.extent1 poster : graphsen_ZA
dc.format.mediumPDF fileen_ZA
dc.identifier.urihttp://hdl.handle.net/2263/61402
dc.language.isoenen_ZA
dc.publisherPretoria : University of Pretoria, Faculty of Veterinary Scienceen_ZA
dc.relation.ispartofseriesVeterinary Science Faculty Day posters 2016en_ZA
dc.relation.requiresAbode Acrobat readeren_ZA
dc.rights©2017 University of Pretoria. Faculty of Veterinary Science (Original and digital).Provided for educational purposes only. It may not be downloaded, reproduced, or distributed in any format without written permission of the original copyright holder. Any attempt to circumvent the access controls placed on this file is a violation of copyright laws and is subject to criminal prosecution. Please contact the collection administrator for copyright issues.en_ZA
dc.subjectTheileria parvaen_ZA
dc.subjectCattle -- Diseasesen_ZA
dc.subjectCattle theileriosisen_ZA
dc.subjectTicksen_ZA
dc.subjectHypothetical proteinsen_ZA
dc.subjectBioinformatics toolsen_ZA
dc.subject.lcshVeterinary medicine -- Postersen_ZA
dc.titleIn silico functional prediction and characterization of selected Theileria parva hypothetical proteinsen_ZA
dc.typePresentationen_ZA
dc.typeTexten_ZA

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