Identification of Novel Genetic Markers Based on DNA Polymorphisms and Their Application in Animal Production

Authors

  • Hsiu-Lin Huang Department of Animal Science, National Chung Hsing University, 145 Xingda Road, Taichung 402, Taiwan.
  • I-Yen Huang Ugintech Co. Ltd., 5F-5, No. 282, Zhishi North 2nd Road, Taichung 407, Taiwan.
  • Chia-Yu Lin Johnson Chemical Pharmaceutical Works Co. Ltd., No. 77, Sec. 4, Sanhe Road, Sanchong Dist., New Taipei City 241, Taiwan.
  • Mu-Chiou Huang Department of Animal Science, National Chung Hsing University, 145 Xingda Road, Taichung 402, Taiwan.

DOI:

https://doi.org/10.9734/bpi/ramb/v7/6481B

Keywords:

Novel markers, DNA polymorphisms, marker-assisted selection, gender determination, species identification

Abstract

This study offers practical methods for locating new and conventional markers based on DNA polymorphisms. In modern medical research, genetic markers are a helpful tool for predicting disease risk and medication response. They can be used in animal research for diseases evaluation, gender determination, species identification, and marker-assisted selection. Numerous unique genetic markers in candidate genes have been discovered by combining DNA microarray technology and SNP (single nucleotide polymorphism) genotyping. In comparison to conventional breeding techniques, these markers have additional benefits since they may be used to accurately select animals and to quickly boost reproductive performance. The investigation of DNA polymorphisms employed modified random amplified polymorphic DNA (RAPD) or random amplified microsatellite polymorphism (RAMPO) fingerprinting, and the outcomes showed that innovative and stable markers may be used for identifying species and determining the gender of animals.

Published

2023-09-27

How to Cite

Hsiu-Lin Huang, I-Yen Huang, Chia-Yu Lin, & Mu-Chiou Huang. (2023). Identification of Novel Genetic Markers Based on DNA Polymorphisms and Their Application in Animal Production. Research Advances in Microbiology and Biotechnology Vol. 7, 133–150. https://doi.org/10.9734/bpi/ramb/v7/6481B