• Title/Summary/Keyword: Gene Identification

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Molecular Sexing and Species Identification of the Processed Meat and Sausages of Horse, Cattle and Pig

  • Kim, Yoo-Kyung;Kang, Yong-Jun;Kang, Geun-Ho;Seong, Pil-Nam;Kim, Jin-Hyoung;Park, Beom-Young;Cho, Sang-Rae;Jeong, Dong Kee;Oh, Hong-Shik;Cho, In-Cheol;Han, Sang-Hyun
    • Journal of Embryo Transfer
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    • v.31 no.1
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    • pp.61-64
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    • 2016

  • We developed a polymerase chain reaction (PCR)-based molecular method for sexing and identification using sexual dimorphism between the Zinc Finger-X and -Y (ZFX-ZFY) gene and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) for mitochondrial DNA (mtDNA) cytochrome B (CYTB) gene in meat pieces and commercial sausages from animals of different origins. Sexual dimorphism based on the presence or absence of SINE-like sequence between ZFX and ZFY genes showed distinguishable band patterns between male and female DNA samples and were easily detected by PCR analyses. Male DNA had two PCR products appearing as distinct two bands (ZFX and ZFY), and female DNA had a single band (ZFX). Molecular identification was carried out using PCR-RFLP of CYTB gene, and showed clear species classification results. The results yielded identical information on the sexes and the species of the meat samples collected from providers without any records. The analyses for DNA isolated from commercial sausage showed that pig was the major source but several sausages originated from chicken and Atlantic cod. Applying this PCR-based molecular method was useful and yielded clear sex information and identified the species of various tissue samples originating from livestock.

  • https://doi.org/10.12750/JET.2016.31.1.61 인용 PDF KSCI

A Comparison of Genospecies of Clinical Isolates in the Acinetobacter spp. Complex Obtained from Hospitalized Patients in Busan, Korea

  • Park, Gyu-Nam;Kang, Hye-Sook;Kim, Hye-Ran;Jung, Bo-Kyung;Kim, Do-Hee;Chang, Kyung-Soo
    • Biomedical Science Letters
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    • v.25 no.1
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    • pp.40-53
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    • 2019

  • Of the Acinetobacter spp., A. baumannii (genospecies 2) is the most clinically significant in terms of hospital-acquired infections worldwide. It is difficult to perform Acinetobacter-related taxonomy using phenotypic characteristics and routine laboratory methods owing to clusters of closely related species. The ability to accurately identify Acinetobacter spp. is clinically important because antimicrobial susceptibility and clinical relevance differs significantly among the different genospecies. Based on the medical importance of pathogenic Acinetobacter spp., the distribution and characterization of Acinetobacter spp. isolates from 123 clinical samples was determined in the current study using four typically applied bacterial identification methods; partial rpoB gene sequencing, amplified rRNA gene restriction analysis (ARDRA) of the intergenic transcribed spacer (ITS) region of the 16~23S rRNA, the $VITEK^{(R)}$ 2 system (an automated microbial identification system) and matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). A. baumannii isolates (74.8%, 92/123) were the most common species, A. nosocomialis (10.6%, 13/123) and A. pittii isolates (7.5%, 9/123) were second and third most common strains of the A. calcoaceticus-A. baumannii (ACB) complex, respectively. A. soli (5.0%, 6/123) was the most common species of the non-ACB complex. RpoB gene sequencing and ARDRA of the ITS region were demonstrated to lead to more accurate species identification than the other methods of analysis used in this study. These results suggest that the use of rpoB genotyping and ARDRA of the ITS region is useful for the species-level identification of Acinetobacter isolates.

  • https://doi.org/10.15616/BSL.2019.25.1.40 인용 PDF KSCI

Main Gene Combinations and Genotype Identification of Hanwoo Quality with SNPHarvester

  • Bae, Jae-Young;Lee, Jea-Young
    • Communications for Statistical Applications and Methods
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    • v.19 no.6
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    • pp.799-808
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    • 2012

  • It is known that human disease and the economic traits of livestock are significantly affected by a gene combination effect rather than a single gene effect. Existing methods to study this gene combination effect have disadvantages such as heavy computing, cost and time; therefore, to overcome those drawbacks, the SNPHarvester was developed to find the main gene combinations. In this paper, we looked for gene combinations using an adjusted linear regression model. This research finds that superior gene combinations which are related to the quality of the Korean beef cattle among sets of SNPs using SNPHarvester. We also identify the superior genotypes using a decision tree that can enhance the various qualities of Korean beef among selected a SNP combination.

  • https://doi.org/10.5351/CKSS.2012.19.6.799 인용 PDF KSCI