Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever
East Coast fever (ECF) is a fatal sickness affecting cattle populations of eastern, central, and southern Africa. The disease is transmitted by the tick Rhipicephalus appendiculatus, and caused by the protozoan Theileria parva parva, which invades host lymphocytes and promotes their clonal expansion...
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Frontiers Media S.A.
2018-10-01
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Series: | Frontiers in Genetics |
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Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2018.00385/full |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elia Vajana Elia Vajana Mario Barbato Licia Colli Marco Milanesi Marco Milanesi Marco Milanesi Estelle Rochat Enrico Fabrizi Christopher Mukasa Marcello Del Corvo Charles Masembe Vincent B. Muwanika Fredrick Kabi Tad Stewart Sonstegard Heather Jay Huson Riccardo Negrini Riccardo Negrini The NextGen Consortium Stéphane Joost Paolo Ajmone-Marsan |
spellingShingle |
Elia Vajana Elia Vajana Mario Barbato Licia Colli Marco Milanesi Marco Milanesi Marco Milanesi Estelle Rochat Enrico Fabrizi Christopher Mukasa Marcello Del Corvo Charles Masembe Vincent B. Muwanika Fredrick Kabi Tad Stewart Sonstegard Heather Jay Huson Riccardo Negrini Riccardo Negrini The NextGen Consortium Stéphane Joost Paolo Ajmone-Marsan Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever Frontiers in Genetics local adaptation landscape genomics species distribution modelling indigenous cattle East Coast fever |
author_facet |
Elia Vajana Elia Vajana Mario Barbato Licia Colli Marco Milanesi Marco Milanesi Marco Milanesi Estelle Rochat Enrico Fabrizi Christopher Mukasa Marcello Del Corvo Charles Masembe Vincent B. Muwanika Fredrick Kabi Tad Stewart Sonstegard Heather Jay Huson Riccardo Negrini Riccardo Negrini The NextGen Consortium Stéphane Joost Paolo Ajmone-Marsan |
author_sort |
Elia Vajana |
title |
Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever |
title_short |
Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever |
title_full |
Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever |
title_fullStr |
Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever |
title_full_unstemmed |
Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever |
title_sort |
combining landscape genomics and ecological modelling to investigate local adaptation of indigenous ugandan cattle to east coast fever |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2018-10-01 |
description |
East Coast fever (ECF) is a fatal sickness affecting cattle populations of eastern, central, and southern Africa. The disease is transmitted by the tick Rhipicephalus appendiculatus, and caused by the protozoan Theileria parva parva, which invades host lymphocytes and promotes their clonal expansion. Importantly, indigenous cattle show tolerance to infection in ECF-endemically stable areas. Here, the putative genetic bases underlying ECF-tolerance were investigated using molecular data and epidemiological information from 823 indigenous cattle from Uganda. Vector distribution and host infection risk were estimated over the study area and subsequently tested as triggers of local adaptation by means of landscape genomics analysis. We identified 41 and seven candidate adaptive loci for tick resistance and infection tolerance, respectively. Among the genes associated with the candidate adaptive loci are PRKG1 and SLA2. PRKG1 was already described as associated with tick resistance in indigenous South African cattle, due to its role into inflammatory response. SLA2 is part of the regulatory pathways involved into lymphocytes' proliferation. Additionally, local ancestry analysis suggested the zebuine origin of the genomic region candidate for tick resistance. |
topic |
local adaptation landscape genomics species distribution modelling indigenous cattle East Coast fever |
url |
https://www.frontiersin.org/article/10.3389/fgene.2018.00385/full |
work_keys_str_mv |
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doaj-21b96810f2e442bdb60a17b10b1ef5902020-11-24T21:48:04ZengFrontiers Media S.A.Frontiers in Genetics1664-80212018-10-01910.3389/fgene.2018.00385397366Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast FeverElia Vajana0Elia Vajana1Mario Barbato2Licia Colli3Marco Milanesi4Marco Milanesi5Marco Milanesi6Estelle Rochat7Enrico Fabrizi8Christopher Mukasa9Marcello Del Corvo10Charles Masembe11Vincent B. Muwanika12Fredrick Kabi13Tad Stewart Sonstegard14Heather Jay Huson15Riccardo Negrini16Riccardo Negrini17The NextGen Consortium18Stéphane Joost19Paolo Ajmone-Marsan20Department of Animal Science, Food and Nutrition (DIANA), Biodiversity and Ancient DNA Research Centre (BioDNA), and Proteomics and Nutrigenomics Research Centre (PRONUTRIGEN), Università Cattolica del Sacro Cuore, Piacenza, ItalyLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, SwitzerlandDepartment of Animal Science, Food and Nutrition (DIANA), Biodiversity and Ancient DNA Research Centre (BioDNA), and Proteomics and Nutrigenomics Research Centre (PRONUTRIGEN), Università Cattolica del Sacro Cuore, Piacenza, ItalyDepartment of Animal Science, Food and Nutrition (DIANA), Biodiversity and Ancient DNA Research Centre (BioDNA), and Proteomics and Nutrigenomics Research Centre (PRONUTRIGEN), Università Cattolica del Sacro Cuore, Piacenza, ItalyDepartment of Animal Science, Food and Nutrition (DIANA), Biodiversity and Ancient DNA Research Centre (BioDNA), and Proteomics and Nutrigenomics Research Centre (PRONUTRIGEN), Università Cattolica del Sacro Cuore, Piacenza, ItalyDepartment of Support, Production and Animal Health, School of Veterinary Medicine, São Paulo State University, Araçatuba, BrazilInternational Atomic Energy Agency (IAEA), Collaborating Centre on Animal Genomics and Bioinformatics, Araçatuba, BrazilLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, SwitzerlandDepartment of Economics and Social Sciences, Università Cattolica del Sacro Cuore, Piacenza, ItalyNational Animal Genetic Resource Centre and Data Bank, Entebbe, UgandaDepartment of Animal Science, Food and Nutrition (DIANA), Biodiversity and Ancient DNA Research Centre (BioDNA), and Proteomics and Nutrigenomics Research Centre (PRONUTRIGEN), Università Cattolica del Sacro Cuore, Piacenza, ItalyDepartment of Zoology, Entomology and Fisheries, Makerere University, Kampala, UgandaDepartment of Environmental Management, Makerere University, Kampala, UgandaNational Livestock Resources Research Institute (NaLIRRI), National Agricultural Research Organisation, Tororo, Uganda0Recombinetics, Inc., St. Paul, MN, United States1Department of Animal Science, Cornell University, Ithaca, NY, United StatesDepartment of Animal Science, Food and Nutrition (DIANA), Biodiversity and Ancient DNA Research Centre (BioDNA), and Proteomics and Nutrigenomics Research Centre (PRONUTRIGEN), Università Cattolica del Sacro Cuore, Piacenza, Italy2Associazione Italiana Allevatori (AIA), Rome, Italy3http://nextgen.epfl.ch/consortiumLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, SwitzerlandDepartment of Animal Science, Food and Nutrition (DIANA), Biodiversity and Ancient DNA Research Centre (BioDNA), and Proteomics and Nutrigenomics Research Centre (PRONUTRIGEN), Università Cattolica del Sacro Cuore, Piacenza, ItalyEast Coast fever (ECF) is a fatal sickness affecting cattle populations of eastern, central, and southern Africa. The disease is transmitted by the tick Rhipicephalus appendiculatus, and caused by the protozoan Theileria parva parva, which invades host lymphocytes and promotes their clonal expansion. Importantly, indigenous cattle show tolerance to infection in ECF-endemically stable areas. Here, the putative genetic bases underlying ECF-tolerance were investigated using molecular data and epidemiological information from 823 indigenous cattle from Uganda. Vector distribution and host infection risk were estimated over the study area and subsequently tested as triggers of local adaptation by means of landscape genomics analysis. We identified 41 and seven candidate adaptive loci for tick resistance and infection tolerance, respectively. Among the genes associated with the candidate adaptive loci are PRKG1 and SLA2. PRKG1 was already described as associated with tick resistance in indigenous South African cattle, due to its role into inflammatory response. SLA2 is part of the regulatory pathways involved into lymphocytes' proliferation. Additionally, local ancestry analysis suggested the zebuine origin of the genomic region candidate for tick resistance.https://www.frontiersin.org/article/10.3389/fgene.2018.00385/fulllocal adaptationlandscape genomicsspecies distribution modellingindigenous cattleEast Coast fever |