Evidence map›Paper›PMID 31842995›Full record

ArticleParasites & vectors2019

Genetic and antigenic variation of the bovine tick-borne pathogen Theileria parva in the Great Lakes region of Central Africa.

Gaston S Amzati, Appolinaire Djikeng, David O Odongo, Herman Nimpaye, Kgomotso P Sibeko, Jean-Berckmans B Muhigwa, Maxime Madder, Nathalie Kirschvink, Tanguy Marcotty

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
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  6. Review
  7. Article
  8. Antigenic Diversity inFrontiers in genetics · 2021
    Article
  9. South African Buffalo-DerivedFrontiers in genetics · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 6 countries.

Gaston S AmzatiResearch Unit of Veterinary Epidemiology and Biostatistics, Faculty of Agricultural and Environmental Sciences, Université Evangélique en Afrique, PO Box 3323, Bukavu, Democratic Republic of the Congo. gastonamzati@gmail.com.ORCID http://orcid.org/0000-0002-9019-224X
Appolinaire DjikengBiosciences Eastern and Central Africa - International Livestock Research Institute (BecA-ILRI) Hub, PO Box 30709-00100, Nairobi, Kenya.
David O OdongoBiosciences Eastern and Central Africa - International Livestock Research Institute (BecA-ILRI) Hub, PO Box 30709-00100, Nairobi, Kenya.
Herman NimpayeFaculty of Medicine, University of Burundi, PO Box 1550, Bujumbura, Burundi.
Kgomotso P SibekoVector and Vector-Borne Disease Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, P/Bag X04, Onderstepoort, Gauteng, 0110, South Africa.
Jean-Berckmans B MuhigwaResearch Unit of Veterinary Epidemiology and Biostatistics, Faculty of Agricultural and Environmental Sciences, Université Evangélique en Afrique, PO Box 3323, Bukavu, Democratic Republic of the Congo.
Maxime MadderVector and Vector-Borne Disease Research Programme, Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, P/Bag X04, Onderstepoort, Gauteng, 0110, South Africa.
Nathalie KirschvinkUnit of Integrated Veterinary Research, Department of Veterinary Medicine, Faculty of Sciences, Namur Research Institute for Life Sciences (NARILIS), University of Namur (UNamur), Rue de Bruxelles 61, 5000, Namur, Belgium.
Tanguy MarcottyUnit of Integrated Veterinary Research, Department of Veterinary Medicine, Faculty of Sciences, Namur Research Institute for Life Sciences (NARILIS), University of Namur (UNamur), Rue de Bruxelles 61, 5000, Namur, Belgium.
University of Namur · BEUniversity of Pretoria · ZAInternational Livestock Research Institute · KEUniversité du Burundi · BIUniversité Evangélique en Afrique · CDUniversity of Nairobi · KE

Funding

Africa Biosciences Challenge Fund (ABCF) program, BecA-ILRI Hub BMGF grant no. OPP1075938International Foundation for Science IFS-92890CA3Université de Namur Bourse de doctorat UNAMUR-CERUNA
6 · The paper itself

Abstract

backgroundTheileria parva causes East Coast fever (ECF), one of the most economically important tick-borne diseases of cattle in sub-Saharan Africa. A live immunisation approach using the infection and treatment method (ITM) provides a strong long-term strain-restricted immunity. However, it typically induces a tick-transmissible carrier state in cattle and may lead to spread of antigenically distinct parasites. Thus, understanding the genetic composition of T. parva is needed prior to the use of the ITM vaccine in new areas. This study examined the sequence diversity and the evolutionary and biogeographical dynamics of T. parva within the African Great Lakes region to better understand the epidemiology of ECF and to assure vaccine safety. Genetic analyses were performed using sequences of two antigen-coding genes, Tp1 and Tp2, generated among 119 T. parva samples collected from cattle in four agro-ecological zones of DRC and Burundi.

resultsThe results provided evidence of nucleotide and amino acid polymorphisms in both antigens, resulting in 11 and 10 distinct nucleotide alleles, that predicted 6 and 9 protein variants in Tp1 and Tp2, respectively. Theileria parva samples showed high variation within populations and a moderate biogeographical sub-structuring due to the widespread major genotypes. The diversity was greater in samples from lowlands and midlands areas compared to those from highlands and other African countries. The evolutionary dynamics modelling revealed a signal of selective evolution which was not preferentially detected within the epitope-coding regions, suggesting that the observed polymorphism could be more related to gene flow rather than recent host immune-based selection. Most alleles isolated in the Great Lakes region were closely related to the components of the trivalent Muguga vaccine.

conclusionsOur findings suggest that the extensive sequence diversity of T. parva and its biogeographical distribution mainly depend on host migration and agro-ecological conditions driving tick population dynamics. Such patterns are likely to contribute to the epidemic and unstable endemic situations of ECF in the region. However, the fact that ubiquitous alleles are genetically similar to the components of the Muguga vaccine together with the limited geographical clustering may justify testing the existing trivalent vaccine for cross-immunity in the region.

Indexed as

Antigenic VariationAfrica, CentralAntigens, ProtozoanGenotypePolymorphism, GeneticSequence Analysis, DNATheileria parvaAntigens, ProtozoanAgro-ecological zonesEast Coast feverEvolutionary dynamicsMuguga cocktail vaccinePopulation geneticsRhipicephalus appendiculatusTick-borne diseasesTp1Tp2

Identifiers

PMID31842995
PMCPMC6915983
OpenAlexW2995006437

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.