Genetic Variability and Population Structure of Polish Konik Horse Maternal Lines Based on Microsatellite Markers.
Agnieszka BieniekKatarzyna KowalskaTomasz ZabekAgata Piestrzynska-KajtochAdrianna Dominika MusiałKatarzyna Ropka-MolikPublished in: Genes (2021)
The aim of the conservation programme is to maintain the population size of endangered livestock breeds of less economic importance at a level that ensures the survival of the breed, the preservation of genetic diversity, and the preservation of as many pedigree lines as possible. The Polish Konik, a native Polish primitive-type horse breed and is one of the breeds included in such a programme in Poland. Presently, there are only 16 (of the 35 maternal lines known in 1962), some of which are endangered. We examined the genetic variability and structure of the Polish Konik maternal lines (176 individuals) on the basis of the pedigree data and 17 microsatellite markers (STRs) from parentage testing. The overall mean number of alleles was 7.647 (±0.411), the effective number of alleles was 3.935 (±0.271), the mean number of alleles for which the frequency was equal to or lower than 5% was 4.471 (±0.286), and the mean information index was 1.506 (±0.087). The structure of the population and admixture patterns were calculated with the Structure and Structure Harvester software. The structural analysis indicated three likely genetic clusters; as the most optimal K value was estimated as 3, with ∆K of 15.4188. The F-statistics results indicated a low level of inbreeding (average inbreeding coefficient FIT was 0.0188, coefficient of differentiation FST was 0.0304, and mean inbreeding index value FIS was -0.0119). Variability monitoring should be carried out in order to avoid inbreeding depression, while breeding strategies should be designed to prevent the decrease of genetic variability in the Polish horse breed and to sustain the active female lines.
Keyphrases
- genetic diversity
- genome wide
- birth weight
- pregnancy outcomes
- copy number
- healthcare
- gene expression
- randomized controlled trial
- diffusion weighted imaging
- clinical trial
- dna methylation
- pregnant women
- machine learning
- computed tomography
- health information
- magnetic resonance
- electronic health record
- data analysis
- deep learning