Kristina Beranova , Eva Jozova , Vojtech Anderle , Michael Rost , Lukas Zita , Pavel Beran , Helena Tyllerova Landova , Vladislav Curn , Milan Tyller
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The aim was to use a combination of phenotyping using the CIELab System method and genotyping of the <em>O</em> locus using the end-point PCR approach with the main focus on the accuracy of distinguishing shell color genotypes, streamlining the selection of dominant homozygotes in the <em>O</em> locus, optimizing this technology for the most efficient and cost-effective selection procedure in practical hen breeding. The optometric method was able to reliably distinguish only dominant and recessive phenotypes and eliminate from the population only undesirable recessive homozygotes with a white colored shell. The parameter a* (redness/greenness) from the CIELab color space turned out to be absolutely key for distinguishing dominant and recessive phenotypes. Using the CART methodology, a classification tree built on discriminating optometric characteristics a-blunt was obtained, however, for the group of desirable <em>O/O</em> homozygotes, the selection approach would result in incorrect genotyping of 31% of individuals. Therefore, a combined approach based on rapid and simple elimination of recessive homozygotes using phenotyping (CIELab photometric measurement) and molecular identification of the EAV-HP insertion in the <em>SLCO1B3</em> gene in dominant phenotypes, regardless of color intensity affected by laying time/order, and allowing reliable elimination, has proven to be the most effective method to distinguish heterozygotes from the breeding population. The combination of optometric and molecular selection methods then leads to more efficient selection, reduction of overall selection costs. 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引用次数: 0
摘要
近几十年来,人们对非传统颜色鸡蛋的兴趣与日俱增。对于育种者来说,这种市场兴趣意味着要培育能产不同颜色鸡蛋的蛋鸡品系,例如本研究中的蓝绿色蛋壳(Dominant Greenshell)。本研究介绍了对蛋壳着色的 O 基因座多态性进行基因分型的结果,以及基于 CIELAb 系统对蛋壳颜色进行光度测量的结果。其目的是结合使用 CIELab 系统方法进行表型分析和使用终点 PCR 方法对 O 基因座进行基因分型,主要关注区分蛋壳颜色基因型的准确性,简化对 O 基因座显性同源基因的选择,优化该技术,使其在实际母鸡育种中成为最高效、最经济的选择程序。验光法仅能可靠地区分显性和隐性表型,从群体中淘汰的仅是外壳为白色的不良隐性同型基因。CIELab 色彩空间中的参数 a*(红度/绿度)被证明是区分显性和隐性表型的绝对关键。然而,对于理想的 O/O 同卵双生群体,这种选择方法会导致 31% 的个体基因分型错误。因此,利用表型分析(CIELab 光度测量)快速、简单地淘汰隐性同基因型个体,并在显性表型中对 SLCO1B3 基因中的 EAV-HP 插入进行分子鉴定(不考虑受产卵时间/顺序影响的颜色强度),从而可靠地淘汰隐性同基因型个体的综合方法,已被证明是将杂合子从育种群体中区分出来的最有效方法。光测法和分子选育法的结合提高了选育效率,降低了总体选育成本。这一过程使育种群体在一代内趋于稳定,并实现了蛋壳颜色方面的纯同源品系。
Molecular tool for efficient breeding of DOMINANT Greenshell laying hens and significant refinement of phenotypic selection focused on eggshell color
In recent decades, interest in non-traditionally colored eggs has increased. For breeders, this market interest means breeding lines of laying hens that lay eggs of varied colors, such as the blue-green eggshells (Dominant Greenshell) in this study. This study presents the results of genotyping the polymorphism of the O locus responsible for shell coloration and photometric measurement of eggshell color based on the CIELAb system, which was carried out on the unique Czech breeding population Dominant Greenshell. The aim was to use a combination of phenotyping using the CIELab System method and genotyping of the O locus using the end-point PCR approach with the main focus on the accuracy of distinguishing shell color genotypes, streamlining the selection of dominant homozygotes in the O locus, optimizing this technology for the most efficient and cost-effective selection procedure in practical hen breeding. The optometric method was able to reliably distinguish only dominant and recessive phenotypes and eliminate from the population only undesirable recessive homozygotes with a white colored shell. The parameter a* (redness/greenness) from the CIELab color space turned out to be absolutely key for distinguishing dominant and recessive phenotypes. Using the CART methodology, a classification tree built on discriminating optometric characteristics a-blunt was obtained, however, for the group of desirable O/O homozygotes, the selection approach would result in incorrect genotyping of 31% of individuals. Therefore, a combined approach based on rapid and simple elimination of recessive homozygotes using phenotyping (CIELab photometric measurement) and molecular identification of the EAV-HP insertion in the SLCO1B3 gene in dominant phenotypes, regardless of color intensity affected by laying time/order, and allowing reliable elimination, has proven to be the most effective method to distinguish heterozygotes from the breeding population. The combination of optometric and molecular selection methods then leads to more efficient selection, reduction of overall selection costs. This process led to the stabilization of the breeding population within one generation and the achievement of a pure homozygous line with regard to eggshell color.
期刊介绍:
First self-published in 1921, Poultry Science is an internationally renowned monthly journal, known as the authoritative source for a broad range of poultry information and high-caliber research. The journal plays a pivotal role in the dissemination of preeminent poultry-related knowledge across all disciplines. As of January 2020, Poultry Science will become an Open Access journal with no subscription charges, meaning authors who publish here can make their research immediately, permanently, and freely accessible worldwide while retaining copyright to their work. Papers submitted for publication after October 1, 2019 will be published as Open Access papers.
An international journal, Poultry Science publishes original papers, research notes, symposium papers, and reviews of basic science as applied to poultry. This authoritative source of poultry information is consistently ranked by ISI Impact Factor as one of the top 10 agriculture, dairy and animal science journals to deliver high-caliber research. Currently it is the highest-ranked (by Impact Factor and Eigenfactor) journal dedicated to publishing poultry research. Subject areas include breeding, genetics, education, production, management, environment, health, behavior, welfare, immunology, molecular biology, metabolism, nutrition, physiology, reproduction, processing, and products.