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Vajana E, Barbato M, Colli L, et al. Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever. Front Genet. 2018;9:385doi: 10.3389/fgene.2018.00385.
Vajana, E., Barbato, M., Colli, L., Milanesi, M., Rochat, E., Fabrizi, E., Mukasa, C., Del Corvo, M., Masembe, C., Muwanika, V. B., Kabi, F., Sonstegard, T. S., Huson, H. J., Negrini, R., Joost, S., & Ajmone-Marsan, P. (2018). Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever. Frontiers in genetics, 9385. https://doi.org/10.3389/fgene.2018.00385
Vajana, Elia, et al. "Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever." Frontiers in genetics vol. 9 (2018): 385. doi: https://doi.org/10.3389/fgene.2018.00385
Vajana E, Barbato M, Colli L, Milanesi M, Rochat E, Fabrizi E, Mukasa C, Del Corvo M, Masembe C, Muwanika VB, Kabi F, Sonstegard TS, Huson HJ, Negrini R, Joost S, Ajmone-Marsan P. Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever. Front Genet. 2018 Oct 03;9:385. doi: 10.3389/fgene.2018.00385. eCollection 2018. PMID: 30333851; PMCID: PMC6177531.
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Front Genet. 2018 Oct 03;9:385. doi: 10.3389/fgene.2018.00385. eCollection 2018.

Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever.

Frontiers in genetics

Elia Vajana, Mario Barbato, Licia Colli, 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, Stéphane Joost, Paolo Ajmone-Marsan

Affiliations

  1. Department 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, Italy.
  2. Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  3. Department of Support, Production and Animal Health, School of Veterinary Medicine, São Paulo State University, Araçatuba, Brazil.
  4. International Atomic Energy Agency (IAEA), Collaborating Centre on Animal Genomics and Bioinformatics, Araçatuba, Brazil.
  5. Department of Economics and Social Sciences, Università Cattolica del Sacro Cuore, Piacenza, Italy.
  6. National Animal Genetic Resource Centre and Data Bank, Entebbe, Uganda.
  7. Department of Zoology, Entomology and Fisheries, Makerere University, Kampala, Uganda.
  8. Department of Environmental Management, Makerere University, Kampala, Uganda.
  9. National Livestock Resources Research Institute (NaLIRRI), National Agricultural Research Organisation, Tororo, Uganda.
  10. Recombinetics, Inc., St. Paul, MN, United States.
  11. Department of Animal Science, Cornell University, Ithaca, NY, United States.
  12. Associazione Italiana Allevatori (AIA), Rome, Italy.

PMID: 30333851 PMCID: PMC6177531 DOI: 10.3389/fgene.2018.00385

Abstract

East Coast fever (ECF) is a fatal sickness affecting cattle populations of eastern, central, and southern Africa. The disease is transmitted by the tick

Keywords: East Coast fever; indigenous cattle; landscape genomics; local adaptation; species distribution modelling

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