Population diversity of Theileria annulata in Portugal

Jacinto Gomes, Patrícia Salgueiro, Joao Inacio Silva, Ana Amaro, Joao Pinto, Andy Tait, Brian Shiels, Isabel Pereira da Fonseca, Gabriela Santos-Gomes, William Weir

Research output: Contribution to journalArticlepeer-review

Abstract

The tick-borne protozoan parasite Theileria annulata causes tropical theileriosis, a severe disease of cattle that oc-curs across the Mediterranean littoral, the Middle East and Southern Asia. In the Mediterranean region, the dis- ease has long been perceived as being a constraint to livestock production in North Africa and Turkey but was believed to have minimal impact in Southern European countries. It has recently been demonstrated that in Southern Portugal the prevalence of T. annulata is approximately 30%. While the population genetics of the par- asite and the multiplicity of infection in the bovine host have been studied in a number of countries, no informa- tion is currently available on the composition of the parasite population in Southern Europe or its relationship to populations in bordering regions. A parasite genotyping system, based on micro- and mini-satellite amplification, was used to perform genetic analysis of T. annulata populations from T. annulata infected cattle in twelve farms in Southern Portugal. A diversity of genotypes and a high multiplicity of infection were found, suggesting that the parasite possesses a panmictic population in this region. In comparison with genotypes found in Tunisia andTurkey, parasites from Portugal form a genetically distinct group and show lower genetic diversity.
Original languageEnglish
Pages (from-to)14-19
Number of pages6
JournalInfection Genetics and Evolution
Volume42
DOIs
Publication statusPublished - 20 Apr 2016

Bibliographical note

© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Theileria annulata
  • Population genetics
  • Micro-satellites
  • Mini-satellites
  • Multiplicity of infection

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