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构建用于匈牙利马鹿个体识别的STR复合扩增体系。

Constructing STR multiplexes for individual identification of Hungarian red deer.

作者信息

Szabolcsi Zoltan, Egyed Balazs, Zenke Petra, Padar Zsolt, Borsy Adrienn, Steger Viktor, Pasztor Erzsebet, Csanyi Sandor, Buzas Zsuzsanna, Orosz Laszlo

机构信息

Department of Genetics, Eötvös Loránd University, Pázmány Péter s. 1/c, 1117, Budapest, Hungary; Institute of Molecular Genetics, Agricultural Biotechnology Center, Szent-Györgyi Albert u. 4, 2100, Gödöllő, Hungary; Department of Genetics, Institute for Forensic Sciences, Mosonyi u. 9, 1087, Budapest, Hungary.

出版信息

J Forensic Sci. 2014 Jul;59(4):1090-9. doi: 10.1111/1556-4029.12403. Epub 2014 Feb 11.

Abstract

Red deer is the most valuable game of the fauna in Hungary, and there is a strong need for genetic identification of individuals. For this purpose, 10 tetranucleotide STR markers were developed and amplified in two 5-plex systems. The study presented here includes the flanking region sequence analysis and the allele nomenclature of the 10 loci as well as the PCR optimization of the DeerPlex I and II. LD pairwise tests and cross-species similarity analyses showed the 10 loci to be independently inherited. Considerable levels of genetic differences between two subpopulations were recorded, and F(ST) was 0.034 using AMOVA. The average probability of identity (PI(ave)) was at the value of 2.6736 × 10(-15). This low value for PI(ave) nearly eliminates false identification. An illegal hunting case solved by DeerPlex is described herein. The calculated likelihood ratio (LR) illustrates the potential of the 10 red deer microsatellite markers for forensic investigations.

摘要

马鹿是匈牙利动物群中最具价值的猎物,因此对个体进行基因鉴定的需求十分迫切。为此,开发了10个四核苷酸STR标记,并在两个五重体系中进行扩增。本文的研究包括侧翼区域序列分析、10个位点的等位基因命名以及DeerPlex I和II的PCR优化。连锁不平衡成对检验和跨物种相似性分析表明这10个位点是独立遗传的。记录到两个亚种群之间存在相当程度的遗传差异,使用分子方差分析(AMOVA)得出的F(ST)为0.034。平均个体识别概率(PI(ave))为2.6736 × 10(-15)。这个较低的PI(ave)值几乎消除了错误识别的可能性。本文描述了一个通过DeerPlex解决的非法狩猎案件。计算出的似然比(LR)说明了这10个马鹿微卫星标记在法医调查中的潜力。

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