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A Selection of 14 Tetrameric Microsatellite Markers for Genetic Investigations in Fallow Deer ()

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Journal Animals (Basel)
Date 2023 Jul 14
PMID 37443886
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Abstract

The fallow deer () represents significant game management value globally, and human activities are significantly impacting the species. Besides the positive effects, these activities can threaten its existence, health, and value. The aim of the authors was to develop a tetranucleotide microsatellite panel that could be clearly interpreted and used for genetic testing of fallow deer. Such a panel did not exist until now and could be particularly useful in the field of conservation genetics and forensics. A total of 99 tetrameric microsatellites, originally designed for related deer species, were tested on 20 fallow deer individuals from five Hungarian sampling areas. Original and newly designed primers were used to amplify the microsatellite regions using previously published or optimized PCR protocols. The lengths and sequences of specific amplicons were detected using capillary electrophoresis, and the rate of polymorphism was determined. Altogether, 80 markers provided PCR products of adequate quality and quantity. Among them, 15 markers proved to be polymorphic (2-5 alleles/locus), and 14 tetrameric markers were selected for further analysis. Statistical calculations showed that the selected polymorphic microsatellites can potentially enable key individualization in many areas of wildlife and population genetics, thus protecting the species.

Citing Articles

Mitochondrial Control Region Database of Hungarian Fallow Deer () Populations for Forensic Use.

Zorkoczy O, Wagenhoffer Z, Lehotzky P, Padar Z, Zenke P Animals (Basel). 2024; 14(13).

PMID: 38998023 PMC: 11240637. DOI: 10.3390/ani14131911.

References
1.
Blacket M, Robin C, Good R, Lee S, Miller A . Universal primers for fluorescent labelling of PCR fragments--an efficient and cost-effective approach to genotyping by fluorescence. Mol Ecol Resour. 2012; 12(3):456-63. DOI: 10.1111/j.1755-0998.2011.03104.x. View

2.
Peakall R, Smouse P . GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update. Bioinformatics. 2012; 28(19):2537-9. PMC: 3463245. DOI: 10.1093/bioinformatics/bts460. View

3.
Ekroth A, Rafaluk-Mohr C, King K . Host genetic diversity limits parasite success beyond agricultural systems: a meta-analysis. Proc Biol Sci. 2019; 286(1911):20191811. PMC: 6774778. DOI: 10.1098/rspb.2019.1811. View

4.
Sim Z, Monderman L, Hildebrand D, Packer T, Jobin R . Development and implementation of a STR based forensic typing system for moose (Alces alces). Forensic Sci Int Genet. 2021; 53:102536. DOI: 10.1016/j.fsigen.2021.102536. View

5.
Pitarch J, Raksa H, Arnal M, Revilla M, Martinez D, de Luco D . Low sequence diversity of the prion protein gene (PRNP) in wild deer and goat species from Spain. Vet Res. 2018; 49(1):33. PMC: 5892000. DOI: 10.1186/s13567-018-0528-8. View