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Short communication: Identification of variation in the ovine prolactin gene of Chios sheep with a cost-effective sequence-based typing assay

机译:简短交流:利用经济高效的基于序列的分型检测方法鉴定希俄斯绵羊的催乳素基因变异

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摘要

The present study identified single nucleotide polymorphisms (SNP) in the coding and untranslated regions of the ovine prolactin gene of Chios sheep. By developing a cost-effective direct sequence-based typing assay, around 600 bp of reliable sequencing data and clear identification of heterozygous positions was achieved. Five SNP were found, located in exons 2 (KC764410:g.567G>A, g.625C>T, g.683C>A) and 3 (KC764410:g.2015C>A, g.2101G>A), whereas the remaining exons were monomorphic. The identified SNP were synonymous, with the exception of the g.567G>A SNP, which results in an Arg to His amino acid change. As the sequencing cost of the sequence-based typing assay was 20 orders of magnitude lower compared with a standard Sanger method, the assay was also used as a genotyping tool. The identified polymorphism was genotyped for 247 ewes and was subsequently used in mixed model association analyses of milk yield, milk fat content, and litter size at birth. The association analysis revealed a significant dominance effect of 0.17 ± 0.07 of the g.2015C>A SNP on milk fat percentage, whereas a dominance effect of -21.33 ± 10.51 of the same SNP on total lactation milk yield was also estimated. The g.2015C>A SNP explained 2.47 and 3.68% of the total phenotypic variance of milk yield and milk fat percentage, respectively, whereas the corresponding values for the animal variance were 7.14 and 11.75%. A suggestive association of the nonsynonymous g.567G>A SNP with litter size at birth was also detected.
机译:本研究确定了希俄斯绵羊催乳素基因的编码区和非翻译区的单核苷酸多态性(SNP)。通过开发一种经济有效的基于直接序列的分型测定方法,可实现约600 bp的可靠测序数据并明确鉴定杂合位置。发现了五个SNP,分别位于外显子2(KC764410:g.567G> A,g.625C> T,g.683C> A)和3(KC764410:g.2015C> A,g.2101G> A)中。其余的外显子是单态的。除g.567G> A SNP外,所鉴定的SNP是同义词,这会导致Arg变为His氨基酸。由于与标准的Sanger方法相比,基于序列的分型测定的测序成本降低了20个数量级,因此该测定也被用作基因分型工具。鉴定出的多态性对247头母羊进行基因分型,随后用于乳汁产量,乳脂含量和出生时产仔数的混合模型关联分析。关联分析显示,g.2015C> A SNP对牛奶脂肪百分比的显着显着影响为0.17±0.07,而同一SNP对乳汁总产奶量的显着影响为-21.33±10.51。 g.2015C> A SNP分别解释了牛奶产量和牛奶脂肪百分比的总表型方差的2.47和3.68%,而动物方差的相应值分别为7.14和11.75%。还发现了非同义的g.567G> A SNP与出生时产仔数的暗示关联。

著录项

  • 来源
    《Journal of dairy science》 |2017年第2期|1290-1294|共5页
  • 作者单位

    Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, PO Box 50329, Lemesos, Cyprus;

    Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, PO Box 50329, Lemesos, Cyprus;

    Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, PO Box 50329, Lemesos, Cyprus;

    Scotland's Rural College, and Food Science, Cyprus University of Technology, PO Box 50329, Lemesos, Cyprus,Roslin Institute, University of Edinburgh, Easter Bush, EH25 9RG, Scotland, United Kingdom;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sheep; prolactin association; SNP identification; sequence-based typing (SBT);

    机译:羊;催乳素协会SNP识别;基于序列的类型(SBT);
  • 入库时间 2022-08-17 23:22:45

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