Analysis of Genetic Diversity in Romanian Carpatina Goats Using SNP Genotyping Data

Author:

Vlaic Bogdan Alin1ORCID,Vlaic Augustin2ORCID,Russo Isa-Rita3ORCID,Colli Licia4ORCID,Bruford Michael William3ORCID,Odagiu Antonia5ORCID,Orozco-terWengel Pablo3ORCID,

Affiliation:

1. Department of Animal Breeding, Faculty of Animal Science and Biotechnologies, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Mănăștur Street 3–5, 400372 Cluj-Napoca, Romania

2. Faculty of Animal Science and Biotechnologies, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Mănăștur Street 3–5, 400372 Cluj-Napoca, Romania

3. Cardiff School of Biosciences, Cardiff University, The Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, Wales, UK

4. Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti (DIANA), BioDNA Centro di ricerca sulla Biodiversità e sul DNA Antico, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del Sacro Cuore, Via Emilia Parmense n. 84, 29122 Piacenza, PC, Italy

5. Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Mănăștur Street 3–5, 400372 Cluj-Napoca, Romania

Abstract

Animal husbandry is one of man’s oldest occupations. It began with the domestication of animals and developed continuously, in parallel with the evolution of human society. The selection and improvement of goats in Romania was not a clearly defined objective until around 1980. In recent years, with the increasing economic value given to goats, breeding programs are becoming established. In Romania, a few goat genetic studies using microsatellites and mtDNA have been carried out; however, a systematic characterization of the country’s goat genomic resources remains missing. In this study, we analyzed the genetic variability of Carpatina goats from four distinct geographical areas (northern, north-eastern, eastern and southern Romania), using the Illumina OvineSNP60 (RefSeq ARS1) high-density chip for 67 goats. Heterozygosity values, inbreeding coefficients and effective population size across all autosomes were calculated for those populations that inhabit high- and low-altitude and high- and low-temperature environments. Diversity, as measured by expected heterozygosity (HE), ranged from 0.413 in the group from a low-temperature environment to 0.420 in the group from a high-temperature environment. Within studied groups, the HT (high temperature) goats were the only group with a positive but low average inbreeding coefficient value, which was 0.009. After quality control (QC) analysis, 46,965 SNPs remained for analysis (MAF < 0.01). LD was calculated for each chromosome separately. The Ne has been declining since the time of domestication, having recently reached 123, 125, 185 and 92 for the HA (high altitude), LA (low altitude), HT (high temperature) and LT (low temperature) group, respectively. Our study revealed a low impact of inbreeding in the Carpatina population, and the Ne trend also indicated a steep decline in the last hundred years. These results will contribute to the genetic improvement of the Carpatina breed.

Funder

FACCE-JPI ERA-NET Plus on Climate Smart Agriculture

European and International Cooperation HORIZON 2020

Publisher

MDPI AG

Reference57 articles.

1. Convergent Genomic Signatures of Domestication in Sheep and Goats;Alberto;Nat. Commun.,2018

2. Mason, I.L. (1996). A World Dictionary of Livestock Breeds, Types and Varieties, CAB International. [4th ed.].

3. Biometric Approach of Carpatina Goat Reared in South Romania Climate;Vlaic;ProEnvironment,2016

4. Ilie, D.E., Kusza, S., Sauer, M., and Gavojdian, D. (2018). Genetic Characterization of Indigenous Goat Breeds in Romania and Hungary with a Special Focus on Genetic Resistance to Mastitis and Gastrointestinal Parasitism Based on 40 Snps. PLoS ONE, 13.

5. Padeanu, I. (2001). Tehnologia Cresterii Ovinelor Și Caprinelor, Editura Mirton. (In Romanian).

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3