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Animal genetics2001; 32(2); 78-88; doi: 10.1046/j.1365-2052.2001.00738.x

Polymorphism identification within 50 equine gene-specific sequence tagged sites.

Abstract: The continued discovery of polymorphisms in the equine genome will be important for future studies using genomic screens and fine mapping for the identification of disease genes. Segments of 50 equine genes were examined for variability in 10 different horse breeds using a pool-and-sequence method. We identified 11 single nucleotide polymorphisms (SNPs) in 9380 bp of sequenced exon, and 25 SNPs, six microsatellites, and one insertion/deletion in 16961 bp of sequenced intron. Of all genes studied 52% contained at least one polymorphism, and polymorphisms were found at an overall rate of 1/613 bp. Several of the putative SNPs were tested and verified by restriction enzyme analysis using natural restriction sites or ones created by primer mutagenesis. The lowest allele frequency for a SNP detected in pooled samples was 10%. Three of the SNPs verified in the diverse horse pool were further tested in six breed-specific horse pools and were found to be reasonably variable within breeds. The pool-and-sequence method allows identification of polymorphisms in horse populations and will be a valuable tool for future disease gene and comparative mapping in horses.
Publication Date: 2001-06-26 PubMed ID: 11421942DOI: 10.1046/j.1365-2052.2001.00738.xGoogle Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research involved identifying genetic polymorphisms in horses to aid future genetic studies, especially those concerned with disease genes. The researchers found an overall polymorphism rate of 1/613 bp in the 50 equine genes they studied, and noticed that these variations were reasonably common within specific horse breeds.

Research Background and Objectives

  • The goal of this study was to identify genetic polymorphisms, or variations, within 50 specific genes across 10 different horse breeds. Such genetic diversity is critical for ongoing and future equine genetic studies, particularly those looking to identify genes related to disease. Understanding the genetic diversity within breeds allows for more accurate mapping and comparisons of genetic traits.

Methodology

  • The researchers used a pool-and-sequence method, analyzing both exons (sequences of a gene that code for proteins) and introns (non-coding sequences). They examined 9,380 base pairs (bp) of exon sequences and 16,961 bp of intron sequences.
  • They tried to verify some of the identified single nucleotide polymorphisms (SNPs), a type of genetic variation, by restriction enzyme analysis. This involves using enzymes that cut the DNA into fragments at specific sequences, hence allowing the detection of SNPs.
  • The researchers also used primer mutagenesis, a technique that allows the creation of mutations at specific points in the DNA, to create restriction sites for further SNPs analyses.

Findings

  • They identified 11 SNPs in the exon sequences and 25 SNPs, together with six microsatellites and one insertion or deletion event, in the intron sequences.
  • Overall, they found that 52% of the genes under study harbored at least one polymorphism, indicating a considerable level of genetic variation across equine genes.
  • The total rate of polymorphisms identified was approximately one per 613 base pairs (1/613 bp).
  • For SNPs identified in pooled samples, the allele frequency (the proportion of gene copies or ‘alleles’ displaying a particular variation) was at least 10%.
  • Upon further testing across six specific horse breed pools, the researchers noted that three of the verified SNPs displayed reasonable variability within breeds.

Implications of the Study

  • The findings validate the pool-and-sequence method as an effective tool for identifying genetic variations in horse populations.
  • This research adds to the existing knowledge about genetic variation in horses, hence providing a robust foundation for future studies related to equine disease gene identification and comparative genetic mapping.

Cite This Article

APA
Shubitowski DM, Venta PJ, Douglass CL, Zhou RX, Ewart SL. (2001). Polymorphism identification within 50 equine gene-specific sequence tagged sites. Anim Genet, 32(2), 78-88. https://doi.org/10.1046/j.1365-2052.2001.00738.x

Publication

ISSN: 0268-9146
NlmUniqueID: 8605704
Country: England
Language: English
Volume: 32
Issue: 2
Pages: 78-88

Researcher Affiliations

Shubitowski, D M
  • Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, MI 48824, USA.
Venta, P J
    Douglass, C L
      Zhou, R X
        Ewart, S L

          MeSH Terms

          • Animals
          • DNA Primers / genetics
          • Exons / genetics
          • Gene Frequency / genetics
          • Genetic Markers / genetics
          • Genotype
          • Horses / classification
          • Horses / genetics
          • Introns / genetics
          • Microsatellite Repeats / genetics
          • Polymerase Chain Reaction
          • Polymorphism, Genetic / genetics
          • Polymorphism, Single Nucleotide / genetics
          • Sensitivity and Specificity
          • Sequence Tagged Sites

          Citations

          This article has been cited 4 times.
          1. Luttman AM, Komine M, Thaiwong T, Carpenter T, Ewart SL, Kiupel M, Langohr IM, Venta PJ. Development of a 17-Plex of Penta- and Tetra-Nucleotide Microsatellites for DNA Profiling and Paternity Testing in Horses. Front Vet Sci 2022;9:861623.
            doi: 10.3389/fvets.2022.861623pubmed: 35464354google scholar: lookup
          2. Ali S, Babar ME, Hossain Farid A, Akhtar P, Awan AR. Novel single nucleotide polymorphism identification in interleukin-6 gene of Pakistani sheep. Mol Biol Rep 2011 Mar;38(3):2151-4.
            doi: 10.1007/s11033-010-0342-5pubmed: 20878475google scholar: lookup
          3. Chen K, Baxter T, Muir WM, Groenen MA, Schook LB. Genetic resources, genome mapping and evolutionary genomics of the pig (Sus scrofa). Int J Biol Sci 2007 Feb 10;3(3):153-65.
            doi: 10.7150/ijbs.3.153pubmed: 17384734google scholar: lookup
          4. Housley DJ, Zalewski ZA, Beckett SE, Venta PJ. Design factors that influence PCR amplification success of cross-species primers among 1147 mammalian primer pairs. BMC Genomics 2006 Oct 9;7:253.
            doi: 10.1186/1471-2164-7-253pubmed: 17029642google scholar: lookup