Development of multiple-locus variable-number tandem-repeat analysis for rapid genotyping of Ehrlichia ruminantium and its application to infected Amblyomma variegatum collected in heartwater endemic areas in Uganda

• Nakao, Ryo

• Morrison, Liam J.

• Zhou, Lijia

• Magona, Joseph W.

• Jongejan, Frans

• Sugimoto, Chihiro

抄録

The rickettsial bacterium Ehrlichia ruminantium is the causative agent of heartwater, a serious tick-borne disease in ruminants. The genetic diversity of organisms in the field will have implications for cross-protective capacities of any vaccine developed, and for an effective vaccine design strategy proper genotyping and understanding of existing genetic diversity in the field is necessary. We searched for variable-number tandem-repeat (VNTR) loci for use in a multi-locus VNTR analysis (MLVA). Sequencing analysis of 30 potential VNTRs using a panel of 16 reference strains from geographically diverse origins identified 12 VNTRs with allelic profiles differing between strains. Application of MLVA to 38 E. ruminantium-infected Amblyomma variegatum collected from indigenous cattle in six different districts of Uganda identified 21 MLVA types. The discriminatory power of MLVA was greater than that of map1 PCR-restriction fragment length polymorphism analysis, with which only six genotypes were obtained. The high discriminatory power as well as cost effective performance of MLVA provide the potential for this technique to be applied in the future with respect to optimizing vaccine trials by identifying local strain diversity, and also raise the possibility of exploring the association between E. ruminantium genotypes and phenotypes such as pathological outcome in the ruminant host.

収録刊行物

• Parasitology

  Parasitology 139 (1), 69-82, 2012-01

  Cambridge University Press

キーワード

• Ehrlichia ruminantium
• heartwater
• Amblyomma variegation
• MLVA
• VNTR
• ticks

詳細情報

• CRID: 1050001339010581632
• NII論文ID: 120003837251
• HANDLE: 2115/48521
• ISSN: 00311820
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles