Literature DB >> 19448029

Short communication: Establishment of a new polymerase chain reaction-sequence-based typing method for genotyping cattle major histocompatibility complex class II DRB3.

S-N Takeshima1, Y Matsumoto, Y Aida.   

Abstract

Sequence-based typing (SBT) is the most comprehensive method for characterizing major histocompatibility complex (MHC) gene polymorphisms. We report here a new PCR-SBT method for genotyping cattle MHC (BoLA) class II DRB3 using the Assign 400ATF ver. 1.0.2.41 software (Conexio Genomics, Fremantle, Australia), which detects alleles in a semiautomated manner. We examined 12 sets of PCR reactions for their ability to amplify BoLA-DRB3 exon 2 and selected an optimal primer set, which used ERB3N-HL031 for first-round PCR and ALL-DRB3B for second-round PCR. Next, we constructed a BoLA-DRB3 allele database using the reference sequences of the Assign 400ATF software and successfully assigned heterozygous samples (including those with deletion alleles) using bidirectional sequencing, unlike our previously described method, which used unidirectional sequencing for detecting of deletion alleles. Next, blood samples of 128 Holstein cattle were used to correlate the results of our modified PCR-SBT method with those of our previously described PCR-SBT method. Each new PCR-SBT result corresponded completely with the DRB3 allele that was genotyped by our previously described PCR-SBT method. Moreover, we confirmed the accuracy of our modified PCR-SBT method by genotyping 7 sire cattle and their 22 calves using Japanese Black cattle. This new method will contribute to high-throughput genotyping of BoLA-DRB3 by sequence-based typing.

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Year:  2009        PMID: 19448029     DOI: 10.3168/jds.2008-1999

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  7 in total

1.  Association between BoLA-DRB3 and somatic cell count in Holstein cattle from Argentina.

Authors:  L R Baltian; M V Ripoli; S Sanfilippo; S N Takeshima; Y Aida; G Giovambattista
Journal:  Mol Biol Rep       Date:  2012-04-25       Impact factor: 2.316

2.  Genetic variation in Japanese Holstein cattle for EBL development.

Authors:  Yasuko Inagaki; Tomoko Kobayashi; Yoshihito Suda; Kazuya Kusama; Kazuhiko Imakawa
Journal:  BMC Vet Res       Date:  2020-10-28       Impact factor: 2.741

3.  Integral Use of Immunopeptidomics and Immunoinformatics for the Characterization of Antigen Presentation and Rational Identification of BoLA-DR-Presented Peptides and Epitopes.

Authors:  Andressa Fisch; Birkir Reynisson; Lindert Benedictus; Annalisa Nicastri; Deepali Vasoya; Ivan Morrison; Søren Buus; Beatriz Rossetti Ferreira; Isabel Kinney Ferreira de Miranda Santos; Nicola Ternette; Tim Connelley; Morten Nielsen
Journal:  J Immunol       Date:  2021-03-31       Impact factor: 5.422

4.  The great diversity of major histocompatibility complex class II genes in Philippine native cattle.

Authors:  S N Takeshima; T Miyasaka; M Polat; M Kikuya; Y Matsumoto; C N Mingala; M A Villanueva; A J Salces; M Onuma; Y Aida
Journal:  Meta Gene       Date:  2014-02-19

5.  Genetic diversity of BoLA-DRB3 in South American Zebu cattle populations.

Authors:  Shin-Nosuke Takeshima; Claudia Corbi-Botto; Guillermo Giovambattista; Yoko Aida
Journal:  BMC Genet       Date:  2018-05-22       Impact factor: 2.797

6.  Distributions of HLA-A and -B alleles and haplotypes in the Yi ethnic minority of Yunnan, China: relationship to other populations.

Authors:  Bo-feng Zhu; Guang Yang; Chun-mei Shen; Hai-xia Qin; Shun-zhi Liu; Ya-jun Deng; Shuan-liang Fan; Li-bin Deng; Feng Chen; Ping Zhang; Jie Fang; Li-ping Chen; Hong-dan Wang; Zhen-yuan Wang; Rudolf Lucas
Journal:  J Zhejiang Univ Sci B       Date:  2010-02       Impact factor: 3.066

7.  Characterization of bovine MHC DRB3 diversity in global cattle breeds, with a focus on cattle in Myanmar.

Authors:  Guillermo Giovambattista; Kyaw Kyaw Moe; Meripet Polat; Liushiqi Borjigin; Si Thu Hein; Hla Hla Moe; Shin-Nosuke Takeshima; Yoko Aida
Journal:  BMC Genet       Date:  2020-09-01       Impact factor: 2.797

  7 in total

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