Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro (PD), Italy.
Teknik Bilimler Meslek Yüksekokulu, Akdeniz University, Antalya, Turkey.
Poult Sci. 2017 Sep 1;96(11):3858-3866. doi: 10.3382/ps/pex238.
The aim of this study was to compare the intra and inter genetic variability and population structure of 7 indigenous chicken breeds of the Veneto region, through a novel panel of 64 SNP, each located in an exonic region and mostly on different chromosomes. A total of 753 blood samples from 7 local chicken breeds (Ermellinata di Rovigo, Millefiori di Lonigo, Polverara, Pepòi, Robusta Lionata, Robusta Maculata, and Padovana) was collected and analyzed. Two strains of Polverara (Nera and Bianca) and Padovana (Dorata and Camosciata) were included in the study. The observed heterozygosity ranged from 0.124 (Pèpoi) to 0.244 (Ermellinata di Rovigo), and the expected heterozygosity varied from 0.132 (Millefiori di Lonigo) to 0.300 (Ermellinata di Rovigo). Global FIS results (0.114) indicated a low-medium inbreeding effect, with values ranging from 0.008 (Millefiori di Lonigo) to 0.223 (Ermellinata di Rovigo). Pairwise FST values (0.167) for all populations ranged from 0.020 (Polverara Nera and Polverara Bianca) to 0.193 (Robusta Lionata and Polverara Nera), indicating that the studied breeds were genetically highly differentiated. The software STRUCTURE was used to detect the presence of population substructures, and the most probable number of clusters (K) of the 10 chicken populations was at K = 8. The affiliation was successful in all Veneto chicken breeds. The present SNP marker results, compared with previous data obtained using microsatellites, provided a reliable estimate of genetic diversity within and between the studied breeds, and demonstrated the utility of the proposed panel as a rapid, efficient, and cost-effective tool for periodical monitoring of the genetic variability among poultry populations. In addition, the present SNP panel could represent a resource for a systematic approach with relevant impact on breeding program decisions and could turn out to be a reliable tool for genetic traceability of indigenous chicken meat. Adoption of a periodical monitoring system of genetic diversity is a fundamental tool in conservation actions and should increase the value of typical and niche products.
本研究旨在通过一个新的 64 个 SNP 面板比较威尼托地区 7 个本土鸡种的种内和种间遗传变异和种群结构,每个 SNP 都位于外显子区域,且大多位于不同的染色体上。共采集并分析了 7 个本地鸡种(罗维戈埃梅利纳塔鸡、隆吉奥米莱菲奥里鸡、波韦拉鸡、佩波伊鸡、罗巴塔强壮鸡、罗巴塔马库拉塔鸡和帕多瓦纳鸡)的 753 份血液样本。研究中还包括了波韦拉鸡的两个品系(黑鸡和白鸡)和帕多瓦纳鸡的两个品系(金鸡和鹿皮鸡)。观测杂合度在 0.124(佩波伊鸡)到 0.244(罗维戈埃梅利纳塔鸡)之间变化,预期杂合度在 0.132(隆吉奥米莱菲奥里鸡)到 0.300(罗维戈埃梅利纳塔鸡)之间变化。全局 FIS 结果(0.114)表明存在中等程度的近交效应,值在 0.008(隆吉奥米莱菲奥里鸡)到 0.223(罗维戈埃梅利纳塔鸡)之间变化。所有群体的成对 FST 值(0.167)在 0.020(波韦拉黑鸡和波韦拉白鸡)到 0.193(罗巴塔强壮鸡和波韦拉黑鸡)之间变化,表明所研究的品种在遗传上高度分化。软件 STRUCTURE 用于检测种群亚结构的存在,10 个鸡群的最可能聚类数(K)为 K=8。威尼托所有鸡种的归属均成功。与之前使用微卫星获得的数据相比,本研究中的 SNP 标记结果提供了在所研究品种内和品种间遗传多样性的可靠估计,并证明了所提出的面板作为定期监测家禽群体遗传变异性的快速、高效和具有成本效益的工具的实用性。此外,本研究中的 SNP 面板可以作为一种系统方法的资源,对育种计划决策有重要影响,并可能成为本土鸡肉遗传可追溯性的可靠工具。采用遗传多样性定期监测系统是保护行动的基本工具,应提高特色和利基产品的价值。