Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset
African Animal Trypanosomiasis (AAT) is a neglected tropical disease and spreads by the vector tsetse fly, which carries the infectious <i>Trypanosoma</i> sp. in their saliva. Particularly, this parasitic disease affects the health of livestock, thereby imposing economic constraints on f...
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2022-05-01
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author | Abirami Rajavel Selina Klees Yuehan Hui Armin Otto Schmitt Mehmet Gültas |
author_facet | Abirami Rajavel Selina Klees Yuehan Hui Armin Otto Schmitt Mehmet Gültas |
author_sort | Abirami Rajavel |
collection | DOAJ |
description | African Animal Trypanosomiasis (AAT) is a neglected tropical disease and spreads by the vector tsetse fly, which carries the infectious <i>Trypanosoma</i> sp. in their saliva. Particularly, this parasitic disease affects the health of livestock, thereby imposing economic constraints on farmers, costing billions of dollars every year, especially in sub-Saharan African countries. Mainly considering the AAT disease as a multistage progression process, we previously performed upstream analysis to identify transcription factors (TFs), their co-operations, over-represented pathways and master regulators. However, downstream analysis, including effectors, corresponding gene expression profiles and their association with the regulatory SNPs (rSNPs), has not yet been established. Therefore, in this study, we aim to investigate the complex interplay of rSNPs, corresponding gene expression and downstream effectors with regard to the AAT disease progression based on two cattle breeds: trypanosusceptible Boran and trypanotolerant N’Dama. Our findings provide mechanistic insights into the effectors involved in the regulation of several signal transduction pathways, thereby differentiating the molecular mechanism with regard to the immune responses of the cattle breeds. The effectors and their associated genes (especially <i>MAPKAPK5</i>, <i>CSK</i>, <i>DOK2</i>, <i>RAC1</i> and <i>DNMT1</i>) could be promising drug candidates as they orchestrate various downstream regulatory cascades in both cattle breeds. |
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last_indexed | 2024-03-10T03:18:36Z |
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spelling | doaj.art-93fea414791e407ca5852e0e90dabc302023-11-23T10:07:49ZengMDPI AGBiology2079-77372022-05-0111574210.3390/biology11050742Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic DatasetAbirami Rajavel0Selina Klees1Yuehan Hui2Armin Otto Schmitt3Mehmet Gültas4Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, GermanyBreeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, GermanyBreeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, GermanyBreeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, GermanyCenter for Integrated Breeding Research (CiBreed), Georg-August University, Carl-Sprengel-Weg 1, 37075 Göttingen, GermanyAfrican Animal Trypanosomiasis (AAT) is a neglected tropical disease and spreads by the vector tsetse fly, which carries the infectious <i>Trypanosoma</i> sp. in their saliva. Particularly, this parasitic disease affects the health of livestock, thereby imposing economic constraints on farmers, costing billions of dollars every year, especially in sub-Saharan African countries. Mainly considering the AAT disease as a multistage progression process, we previously performed upstream analysis to identify transcription factors (TFs), their co-operations, over-represented pathways and master regulators. However, downstream analysis, including effectors, corresponding gene expression profiles and their association with the regulatory SNPs (rSNPs), has not yet been established. Therefore, in this study, we aim to investigate the complex interplay of rSNPs, corresponding gene expression and downstream effectors with regard to the AAT disease progression based on two cattle breeds: trypanosusceptible Boran and trypanotolerant N’Dama. Our findings provide mechanistic insights into the effectors involved in the regulation of several signal transduction pathways, thereby differentiating the molecular mechanism with regard to the immune responses of the cattle breeds. The effectors and their associated genes (especially <i>MAPKAPK5</i>, <i>CSK</i>, <i>DOK2</i>, <i>RAC1</i> and <i>DNMT1</i>) could be promising drug candidates as they orchestrate various downstream regulatory cascades in both cattle breeds.https://www.mdpi.com/2079-7737/11/5/742African trypanosomiasisBoranN’Damaregulatory SNPsgene expression profilesdownstream effectors |
spellingShingle | Abirami Rajavel Selina Klees Yuehan Hui Armin Otto Schmitt Mehmet Gültas Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset Biology African trypanosomiasis Boran N’Dama regulatory SNPs gene expression profiles downstream effectors |
title | Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset |
title_full | Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset |
title_fullStr | Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset |
title_full_unstemmed | Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset |
title_short | Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset |
title_sort | deciphering the molecular mechanism underlying african animal trypanosomiasis by means of the 1000 bull genomes project genomic dataset |
topic | African trypanosomiasis Boran N’Dama regulatory SNPs gene expression profiles downstream effectors |
url | https://www.mdpi.com/2079-7737/11/5/742 |
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