Evidence map›Paper›PMID 23146577›Full record

ArticleParasites & vectors2012

Population genetic analysis and sub-structuring of Theileria parva in the northern and eastern parts of Zambia.

Walter Muleya, Boniface Namangala, Martin Simuunza, Ryo Nakao, Noboru Inoue, Takashi Kimura, Kimihito Ito, Chihiro Sugimoto, Hirofumi Sawa

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Antigenic and genotypic relatedness of buffalo-derivedInternational journal for parasitology. Parasites and wildlife · 2026
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  3. In vitro efficacy of plumbagin and thymol againstJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2023
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  4. Review
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  11. Population Genetic Analysis of theFrontiers in microbiology · 2020
    Article
  12. Article
  13. Population Genetic Analysis ofFrontiers in genetics · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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 3 institutions in 2 countries.

Walter MuleyaDivision of Molecular Pathobiology, Research Center for Zoonosis Control, Hokkaido University, N20, W10, Kita-ku, Sapporo 001-0020, Japan.
Boniface Namangala
Martin Simuunza
Ryo Nakao
Noboru Inoue
Takashi Kimura
Kimihito Ito
Chihiro Sugimoto
Hirofumi Sawa
Hokkaido University · JPUniversity of Zambia · ZMObihiro University of Agriculture and Veterinary Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTheileriosis, caused by Theileria parva, is an economically important disease in Africa. It is a major constraint to the development of the livestock industry in some parts of eastern, central and southern Africa. In Zambia, theileriosis causes losses of up to 10,000 cattle annually.

methodsCattle blood samples were collected for genetic analysis of Theileria parva from Isoka and Petauke districts in Zambia. Microsatellite analysis was then performed on all Theileria parva positive samples for PCR using a panel of 9 microsatellite markers. Microsatellite data was analyzed using microsatellite toolkit, GenAlEx ver. 6, Fstat ver. 2.9.3.2, and LIAN computer softwares.

resultsThe combined percentage of positive samples in both districts determined by PCR using the p104 gene primers was 54.9% (95% CI: 46.7 - 63.1%, 78/142), while in each district, it was 44.8% (95% CI: 34.8 - 54.8%) and 76.1% (95% CI = 63.9 - 88.4%) for Isoka and Petauke districts, respectively. We analyzed the population genetic structure of Theileria parva from a total of 61 samples (33 from Isoka and 28 from Petauke) using a panel of 9 microsatellite markers encompassing the 4 chromosomes of Theileria parva. Wright's F index (FST = 0.178) showed significant differentiation between the Isoka and Petauke populations. Linkage disequilibrium was observed when populations from both districts were treated as a single population. When analyzed separately, linkage disequilibrium was observed in Kanyelele and Kalembe areas in Isoka district, Isoka district overall and in Petauke district. Petauke district had a higher multiplicity of infection than Isoka district.

conclusionPopulation genetic analyses of Theileria parva from Isoka and Petauke districts showed a low level of genotype exchange between the districts, but a high level of genetic diversity within each district population, implying genetic and geographic sub-structuring between the districts. The sub-structuring observed, along with the lack of panmixia in the populations, could have been due to low transmission levels at the time of sampling. However, the Isoka population was less diverse than the Petauke population.

Indexed as

Genetic VariationPhylogeographyAnimalsBloodCattleDNA, ProtozoanGenotypeMicrosatellite RepeatsTheileria parvaTheileriasisZambiaDNA, Protozoan

Identifiers

PMID23146577
PMCPMC3503576
OpenAlexW2089671293

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.