Evidence map›Paper›PMID 26469349›Full record

ArticlePloS one2015

Genetic Diversity and Population Structure of Theileria annulata in Oman.

Salama Al-Hamidhi, Mohammed H Tageldin, William Weir, Amira Al-Fahdi, Eugene H Johnson, Patrick Bobade, Badar Alqamashoui, Albano Beja-Pereira, Joanne Thompson, Jane Kinnaird and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
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  4. Microorganisms · 2022
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  5. Diversity and Genetic Structure ofPathogens (Basel, Switzerland) · 2022
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  6. Molecular Epidemiology ofAnimals : an open access journal from MDPI · 2021
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  7. Article
  8. Review
  9. Article
  10. Population Genetic Analysis of theFrontiers in microbiology · 2020
    Article
  11. Genetic diversity and phylogeography ofEcology and evolution · 2019
    Article
  12. Article
  13. Population Genetic Analysis ofFrontiers in genetics · 2018
    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

13 authors at 6 institutions in 3 countries.

Salama Al-HamidhiDepartment of Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, P.O Box 35 Postal Code 123, Al-Khod, Sultanate of Oman.
Mohammed H TageldinDepartment of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.O Box 34 Postal Code 123, Al-Khod, Sultanate of Oman.
William WeirInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Amira Al-FahdiDepartment of Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, P.O Box 35 Postal Code 123, Al-Khod, Sultanate of Oman.
Eugene H JohnsonDepartment of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.O Box 34 Postal Code 123, Al-Khod, Sultanate of Oman.
Patrick BobadeDepartment of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, P.O Box 34 Postal Code 123, Al-Khod, Sultanate of Oman.
Badar AlqamashouiMinistry of Agriculture and Fisheries, Muscat, Oman.
Albano Beja-PereiraResearch Centre in Biodiversity and Genetic Resources (CIBIO), University of Porto, Rua Padre Armando Quintas 7, Vairão, 4485-661, Portugal.
Joanne ThompsonCentre for Immunity, Infection & Evolution. Institutes of Evolution, Immunology and Infection Research, School of Biological Sciences, Ashworth Laboratories, University of Edinburgh, Edinburgh, United Kingdom.
Jane KinnairdInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Brian ShielsInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Andy TaitInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Hamza BabikerDepartment of Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, P.O Box 35 Postal Code 123, Al-Khod, Sultanate of Oman; Centre for Immunity, Infection & Evolution. Institutes of Evolution, Immunology and Infection Research, School of Biological Sciences, Ashworth Laboratories, University of Edinburgh, Edinburgh, United Kingdom.
Sultan Qaboos University · OMUniversity of Glasgow · GBCentre for Immunity, Infection and Evolution · GBMinistry of Agriculture and Fisheries · OMUniversidade do Porto · PTUniversity of Edinburgh · GB

Funding

Wellcome Trust 095831
6 · The paper itself

Abstract

backgroundTheileriosis, caused by a number of species within the genus Theileria, is a common disease of livestock in Oman. It is a major constraint to the development of the livestock industry due to a high rate of morbidity and mortality in both cattle and sheep. Since little is currently known about the genetic diversity of the parasites causing theileriosis in Oman, the present study was designed to address this issue with specific regard to T. annulata in cattle.

methodsBlood samples were collected from cattle from four geographically distinct regions in Oman for genetic analysis of the Theileria annulata population. Ten genetic markers (micro- and mini-satellites) representing all four chromosomes of T. annulata were applied to these samples using a combination of PCR amplification and fragment analysis. The resultant genetic data was analysed to provide a first insight into the structure of the T. annulata population in Oman.

resultsWe applied ten micro- and mini-satellite markers to a total of 310 samples obtained from different regions (174 [56%] from Dhofar, 68 [22%] from Dhira, 44 [14.5%] from Batinah and 24 [8%] from Sharqia). A high degree of allelic diversity was observed among the four parasite populations. Expected heterozygosity for each site ranged from 0.816 to 0.854. A high multiplicity of infection was observed in individual hosts, with an average of 3.3 to 3.4 alleles per locus, in samples derived from Batinah, Dhofar and Sharqia regions. In samples from Dhira region, an average of 2.9 alleles per locus was observed. Mild but statistically significant linkage disequilibrium between pairs of markers was observed in populations from three of the four regions. In contrast, when the analysis was performed at farm level, no significant linkage disequilibrium was observed. Finally, no significant genetic differentiation was seen between the four populations, with most pair-wise FST values being less than 0.03. Slightly higher FST values (GST' = 0.075, θ = 0.07) were detected when the data for T. annulata parasites in Oman was compared with that previously generated for Turkey and Tunisia.

conclusionGenetic analyses of T. annulata samples representing four geographical regions in Oman revealed a high level of genetic diversity in the parasite population. There was little evidence of genetic differentiation between parasites from different regions, and a high level of genetic diversity was maintained within each sub-population. These findings are consistent with a high parasite transmission rate and frequent movement of animals between different regions in Oman.

Indexed as

Polymorphism, GeneticAnimalsCattleFemaleGene FrequencyGenetic LociGenetic MarkersGenomicsLinkage DisequilibriumMicrosatellite RepeatsMinisatellite RepeatsOmanTheileria annulataGenetic Markers

Identifiers

PMID26469349
PMCPMC4607491
OpenAlexW1826272077

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.