Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.smallrumres.2019.07.005 |
Genetic structure of Omani goats reveals admixture among populations from geographically proximal sites | |
Al-Araimi, Nasser Ali1; Al-Atiyat, Raed Mahmoud2; Luzuriaga-Neira, Agusto1; Gaafar, Osman Mahgoub3; Kadim, Isam T.4; Al-Marzooqi, Waleed3; Babiker, Hamza A.5; Al-Kindi, Mohammed N.5; Al-Ansari, Aliya S.6; Al-Lawati, Ali H.7; Beja-Pereira, Albano1,8 | |
通讯作者 | Al-Araimi, Nasser Ali |
来源期刊 | SMALL RUMINANT RESEARCH
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ISSN | 0921-4488 |
EISSN | 1879-0941 |
出版年 | 2019 |
卷号 | 178页码:1-6 |
英文摘要 | The genetic diversity of most global goat populations has been assessed in recent decades using nuclear markers but remains unstudied in the south Arabian Peninsula, particularly in the Sultanate of Oman, despite the importance of these animals for the local economy and food supply. Therefore, the present study provides a comparative analysis of the genetic diversity of five native Omani goat populations and evaluates possible admixture rates with the four most frequently imported goat populations from geographically proximal countries. A dataset based on 11 highly informative microsatellite locus genotypes from nine populations was used to estimate population genetic parameters. The summary statistics for the parameters depicted relatively highly diverse populations (Ho = 0.667, He = 0.663) with relatively low and mostly non-significant levels of inbreeding (F-IS). Furthermore, population substructure estimators (AMOVA) and population differentiation coefficient (F-ST) indicated weak genetic differentiation among populations (P < 0.001). A finer analysis of the population substructure and differentiation using STRUCTURE, discriminant analyses of principal components (DAPCs) and a neighbor-joining (NJ) tree supported a scenario in which a high level of gene flow between populations from close geographical locations is the main evolutionary driving force. Thus, any future conservation strategies and breeding programs should attempt to preserve unique alleles that might be favorable for the limited feed available in desert ecosystems as well as economic traits. |
英文关键词 | Arabian peninsula Native Omani goats Exotic breeds Genetic degradation Conservation |
类型 | Article |
语种 | 英语 |
国家 | Portugal ; Jordan ; Oman |
收录类别 | SCI-E |
WOS记录号 | WOS:000487571600001 |
WOS关键词 | MICROSATELLITE NULL ALLELES ; DIVERSITY ; SOFTWARE ; MARKERS ; BREEDS ; INFERENCE ; EUROPE |
WOS类目 | Agriculture, Dairy & Animal Science |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/218855 |
作者单位 | 1.Univ Porto, Res Ctr Biodivers & Genet Resources CIBIO, InBIO, R Padre Armando Quintus 7, P-4485661 Porto, Portugal; 2.Mutah Univ, Fac Agr, Dept Anim Prod, Al Karak 61710, Jordan; 3.Sultan Qaboos Univ, Coll Agr & Marine Sci, Dept Anim & Vet Sci, POB 34,Postal Code 123, Al Khoud, Oman; 4.Univ Nizwa, Coll Arts & Sci, Dept Biol Sci & Chem, POB 33,Postal Code 616, Birkat, Al Mouz, Oman; 5.Sultan Qaboos Univ, Coll Med & Hlth Sci, Dept Biochem, POB 35,Postal Code 123, Al Khoud, Oman; 6.Sultan Qaboos Univ, Coll Sci, Dept Biol, POB 36,Postal Code 123, Al Khoud, Oman; 7.Oman Anim & Plant Genet Resources Ctr, Res Council, POB 1422,Postal Code 130, Muscat, Oman; 8.Univ Porto, Fac Sci, Dept Geosci Environm & Spatial Planning, Rua Campo Alegre 687, P-4169007 Porto, Portugal |
推荐引用方式 GB/T 7714 | Al-Araimi, Nasser Ali,Al-Atiyat, Raed Mahmoud,Luzuriaga-Neira, Agusto,et al. Genetic structure of Omani goats reveals admixture among populations from geographically proximal sites[J],2019,178:1-6. |
APA | Al-Araimi, Nasser Ali.,Al-Atiyat, Raed Mahmoud.,Luzuriaga-Neira, Agusto.,Gaafar, Osman Mahgoub.,Kadim, Isam T..,...&Beja-Pereira, Albano.(2019).Genetic structure of Omani goats reveals admixture among populations from geographically proximal sites.SMALL RUMINANT RESEARCH,178,1-6. |
MLA | Al-Araimi, Nasser Ali,et al."Genetic structure of Omani goats reveals admixture among populations from geographically proximal sites".SMALL RUMINANT RESEARCH 178(2019):1-6. |
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