Evidence map›Paper›PMID 25923207›Full record

ArticlePloS one2015

Recovery of native genetic background in admixed populations using haplotypes, phenotypes, and pedigree information--using Cika cattle as a case breed.

Mojca Simčič, Anamarija Smetko, Johann Sölkner, Doris Seichter, Gregor Gorjanc, Dragomir Kompan, Ivica Medugorac

Abstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Definition of metafounders based on population structure analysis.Genetics, selection, evolution : GSE · 2024
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  11. Comparative genomics for biodiversity conservation.Computational and structural biotechnology journal · 2015
    Review
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

7 authors.

Mojca SimčičDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, Domžale, Slovenia.
Anamarija SmetkoDivision of Livestock Science, Department Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna, Vienna, Austria.
Johann SölknerDivision of Livestock Science, Department Sustainable Agricultural Systems, University of Natural Resources and Life Sciences Vienna, Vienna, Austria.
Doris SeichterTierzuchtforschung e.V. München, Grub, Germany.
Gregor GorjancDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, Domžale, Slovenia.
Dragomir KompanDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, Domžale, Slovenia.
Ivica MedugoracChair of Animal Genetics and Husbandry, Faculty of Veterinary Medicine, Ludwig-Maximilians-University Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to obtain unbiased estimates of the diversity parameters, the population history, and the degree of admixture in Cika cattle which represents the local admixed breeds at risk of extinction undergoing challenging conservation programs. Genetic analyses were performed on the genome-wide Single Nucleotide Polymorphism (SNP) Illumina Bovine SNP50 array data of 76 Cika animals and 531 animals from 14 reference populations. To obtain unbiased estimates we used short haplotypes spanning four markers instead of single SNPs to avoid an ascertainment bias of the BovineSNP50 array. Genome-wide haplotypes combined with partial pedigree and type trait classification show the potential to improve identification of purebred animals with a low degree of admixture. Phylogenetic analyses demonstrated unique genetic identity of Cika animals. Genetic distance matrix presented by rooted Neighbour-Net suggested long and broad phylogenetic connection between Cika and Pinzgauer. Unsupervised clustering performed by the admixture analysis and two-dimensional presentation of the genetic distances between individuals also suggest Cika is a distinct breed despite being similar in appearance to Pinzgauer. Animals identified as the most purebred could be used as a nucleus for a recovery of the native genetic background in the current admixed population. The results show that local well-adapted strains, which have never been intensively managed and differentiated into specific breeds, exhibit large haplotype diversity. They suggest a conservation and recovery approach that does not rely exclusively on the search for the original native genetic background but rather on the identification and removal of common introgressed haplotypes would be more powerful. Successful implementation of such an approach should be based on combining phenotype, pedigree, and genome-wide haplotype data of the breed of interest and a spectrum of reference breeds which potentially have had direct or indirect historical contribution to the genetic makeup of the breed of interest.

Indexed as

Genetic BackgroundPolymorphism, Single NucleotideAnimalsBreedingCattleCluster AnalysisEndangered SpeciesGenotypeHaplotypesMalePedigreePhenotypePhylogeny

Identifiers

PMID25923207
PMCPMC4414476

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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.