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Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis
Major histocompatibility complex (MHC) represents an important genetic marker for manipulation to improve the health and productivity of cattle. It is closely associated with numerous disease susceptibilities and immune responses. Bovine MHC, also called bovine leukocyte antigen (BoLA), is considere...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Urmia University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282214/ https://www.ncbi.nlm.nih.gov/pubmed/32537103 http://dx.doi.org/10.30466/vrf.2018.90444.2189 |
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author | Alkafajy, Ala Al-Karagoly, Hassan Nikbakht Brujeni, Gholamreza |
author_facet | Alkafajy, Ala Al-Karagoly, Hassan Nikbakht Brujeni, Gholamreza |
author_sort | Alkafajy, Ala |
collection | PubMed |
description | Major histocompatibility complex (MHC) represents an important genetic marker for manipulation to improve the health and productivity of cattle. It is closely associated with numerous disease susceptibilities and immune responses. Bovine MHC, also called bovine leukocyte antigen (BoLA), is considered as a suitable marker for genetic diversity studies. In cattle, most of the polymorphisms are located in exon 2 of BoLA-DRB3, which encodes the peptide-binding cleft. In this study, the polymorphism of the BoLA-DRB3.2 gene in Holstein's calves was studied using high resolution melting curve analysis (HRM). Observed HRM results were compared to PCR-RFLP and direct sequencing techniques. Eight different HRM and seven different RFLP profiles were identified among the population studied. By comparing to sequencing data, HRM could completely discriminate all genotypes (eight profiles), while the RFLP failed to distinguish between the genotypes *1101/*1001 and *1104/*1501. According to the results, the HRM analysis method gave more accurate results than RFLP by differentiating between the BoLA-DRB3.2 genotypes. Due to the Co-dominant nature of the MHC alleles, HRM technique could be used for investigating the polymorphisms of genotypes and their associations with immune responses. |
format | Online Article Text |
id | pubmed-7282214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Urmia University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72822142020-06-12 Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis Alkafajy, Ala Al-Karagoly, Hassan Nikbakht Brujeni, Gholamreza Vet Res Forum Original Article Major histocompatibility complex (MHC) represents an important genetic marker for manipulation to improve the health and productivity of cattle. It is closely associated with numerous disease susceptibilities and immune responses. Bovine MHC, also called bovine leukocyte antigen (BoLA), is considered as a suitable marker for genetic diversity studies. In cattle, most of the polymorphisms are located in exon 2 of BoLA-DRB3, which encodes the peptide-binding cleft. In this study, the polymorphism of the BoLA-DRB3.2 gene in Holstein's calves was studied using high resolution melting curve analysis (HRM). Observed HRM results were compared to PCR-RFLP and direct sequencing techniques. Eight different HRM and seven different RFLP profiles were identified among the population studied. By comparing to sequencing data, HRM could completely discriminate all genotypes (eight profiles), while the RFLP failed to distinguish between the genotypes *1101/*1001 and *1104/*1501. According to the results, the HRM analysis method gave more accurate results than RFLP by differentiating between the BoLA-DRB3.2 genotypes. Due to the Co-dominant nature of the MHC alleles, HRM technique could be used for investigating the polymorphisms of genotypes and their associations with immune responses. Urmia University Press 2020 2020-03-15 /pmc/articles/PMC7282214/ /pubmed/32537103 http://dx.doi.org/10.30466/vrf.2018.90444.2189 Text en © 2020 Urmia University. All rights reserved This is an open-access article distributed under the terms of the Creative Commons Attribution-noncommercial 4.0 International License, (https://creativecommons.org/licenses/by-nc/4.0/) which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article Alkafajy, Ala Al-Karagoly, Hassan Nikbakht Brujeni, Gholamreza Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis |
title | Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis |
title_full | Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis |
title_fullStr | Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis |
title_full_unstemmed | Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis |
title_short | Comparison of cattle BoLA-DRB3 typing by PCR-RFLP, direct sequencing, and high-resolution DNA melting curve analysis |
title_sort | comparison of cattle bola-drb3 typing by pcr-rflp, direct sequencing, and high-resolution dna melting curve analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282214/ https://www.ncbi.nlm.nih.gov/pubmed/32537103 http://dx.doi.org/10.30466/vrf.2018.90444.2189 |
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