Literature DB >> 27084674

Investigating the diversity of the 18S SSU rRNA hyper-variable region of Theileria in cattle and Cape buffalo (Syncerus caffer) from southern Africa using a next generation sequencing approach.

Ben J Mans1, Ronel Pienaar2, John Ratabane2, Boitumelo Pule2, Abdalla A Latif3.   

Abstract

Molecular classification and systematics of the Theileria is based on the analysis of the 18S rRNA gene. Reverse line blot or conventional sequencing approaches have disadvantages in the study of 18S rRNA diversity and a next-generation 454 sequencing approach was investigated. The 18S rRNA gene was amplified using RLB primers coupled to 96 unique sequence identifiers (MIDs). Theileria positive samples from African buffalo (672) and cattle (480) from southern Africa were combined in batches of 96 and sequenced using the GS Junior 454 sequencer to produce 825711 informative sequences. Sequences were extracted based on MIDs and analysed to identify Theileria genotypes. Genotypes observed in buffalo and cattle were confirmed in the current study, while no new genotypes were discovered. Genotypes showed specific geographic distributions, most probably linked with vector distributions. Host specificity of buffalo and cattle specific genotypes were confirmed and prevalence data as well as relative parasitemia trends indicate preference for different hosts. Mixed infections are common with African buffalo carrying more genotypes compared to cattle. Associative or exclusion co-infection profiles were observed between genotypes that may have implications for speciation and systematics: specifically that more Theileria species may exist in cattle and buffalo than currently recognized. Analysis of primers used for Theileria parva diagnostics indicate that no new genotypes will be amplified by the current primer sets confirming their specificity. T. parva SNP variants that occur in the 18S rRNA hypervariable region were confirmed. A next generation sequencing approach is useful in obtaining comprehensive knowledge regarding 18S rRNA diversity and prevalence for the Theileria, allowing for the assessment of systematics and diagnostic assays based on the 18S gene.
Copyright © 2016 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  18S SSU; Diversity; Next-generation sequencing; Species; Theileria; Theileria parva

Mesh:

Substances:

Year:  2016        PMID: 27084674     DOI: 10.1016/j.ttbdis.2016.04.005

Source DB:  PubMed          Journal:  Ticks Tick Borne Dis        ISSN: 1877-959X            Impact factor:   3.744


  3 in total

1.  Molecular detection and characterization of Theileria spp. infecting cattle in Sennar State, Sudan.

Authors:  Sofia B Mohamed; Atif Alagib; Tahani B AbdElkareim; Mohamed M Hassan; Wendell C Johnson; Hala E Hussein; Naomi S Taus; Massaro W Ueti
Journal:  Parasitol Res       Date:  2018-03-07       Impact factor: 2.289

2.  Ancient diversity and geographical sub-structuring in African buffalo Theileria parva populations revealed through metagenetic analysis of antigen-encoding loci.

Authors:  Johanneke D Hemmink; Tatjana Sitt; Roger Pelle; Lin-Mari de Klerk-Lorist; Brian Shiels; Philip G Toye; W Ivan Morrison; William Weir
Journal:  Int J Parasitol       Date:  2018-02-03       Impact factor: 3.981

3.  Investigation of the piroplasm diversity circulating in wildlife and cattle of the greater Kafue ecosystem, Zambia.

Authors:  David Squarre; Yukiko Nakamura; Kyoko Hayashida; Naoko Kawai; Herman Chambaro; Boniface Namangala; Chihiro Sugimoto; Junya Yamagishi
Journal:  Parasit Vectors       Date:  2020-11-30       Impact factor: 3.876

  3 in total

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