中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses

文献类型:期刊论文

作者Choi SK1; Lee JE1; Kim YJ2; Min MS1; Voloshina I3; Myslenkov A3; Oh JG4; Kim TH5; Markov N6; Seryodkin I7
刊名BMC GENETICS
出版日期2014
卷号15期号:X页码:e85
关键词Genetic diversity Genetic structure Wild boar Microsatellites East Asia
通讯作者hanglee@snu.ac.kr ; kyungkim@snu.ac.kr
英文摘要Background: Wild boar, Sus scrofa, is an extant wild ancestor of the domestic pig as an agro-economically important mammal. Wild boar has a worldwide distribution with its geographic origin in Southeast Asia, but genetic diversity and genetic structure of wild boar in East Asia are poorly understood. To characterize the pattern and amount of genetic variation and population structure of wild boar in East Asia, we genotyped and analyzed microsatellite loci for a total of 238 wild boar specimens from ten locations across six countries in East and Southeast Asia. Results: Our data indicated that wild boar populations in East Asia are genetically diverse and structured, showing a significant correlation of genetic distance with geographic distance and implying a low level of gene flow at a regional scale. Bayesian-based clustering analysis was indicative of seven inferred genetic clusters in which wild boars in East Asia are geographically structured. The level of genetic diversity was relatively high in wild boars from Southeast Asia, compared with those from Northeast Asia. This gradient pattern of genetic diversity is consistent with an assumed ancestral population of wild boar in Southeast Asia. Genetic evidences from a relationship tree and structure analysis suggest that wild boar in Jeju Island, South Korea have a distinct genetic background from those in mainland Korea. Conclusions: Our results reveal a diverse pattern of genetic diversity and the existence of genetic differentiation among wild boar populations inhabiting East Asia. This study highlights the potential contribution of genetic variation of wild boar to the high genetic diversity of local domestic pigs during domestication in East Asia.
资助信息This work was supported by a Korea Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MEST) (No. 2009–0080227).
语种英语
WOS记录号WOS:000339586700001
公开日期2014-10-10
源URL[http://159.226.149.42:8088/handle/152453/8031]  
专题昆明动物研究所_分子进化基因组学
昆明动物研究所_遗传资源与进化国家重点实验室
作者单位1.College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea
2.National Institute of Ecology, Seocheon-gun, Chungcheongnam-do, Republic of Korea.
3.Lazovsky State Nature Reserve, Lazo, Primorsky Krai, Russia
4.Research Institute for Hallasan, Jeju Special Self-Governing Province, Jeju, Republic of Korea
5.Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Suwon, Gyeonggi-do, Republic of Korea
6.nstitute of Plant and Animal Ecology Urals Branch of Russian Academy of Sciences, Yekaterinburg, Russia
7.Pacific Geographical Institute Far Eastern Branch of Russian Academy of Sciences, Vladivostok, Russia
8.Laboratory of Food and Environmental Hygiene, Veterinary Medicine, Gifu University, Gifu, Japan.
9.Laboratory for Conservation and Utilization of Bio-resource and Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming, China
10.State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
推荐引用方式
GB/T 7714
Choi SK,Lee JE,Kim YJ,et al. Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses[J]. BMC GENETICS,2014,15(X):e85.
APA Choi SK.,Lee JE.,Kim YJ.,Min MS.,Voloshina I.,...&Kim KS[*].(2014).Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses.BMC GENETICS,15(X),e85.
MLA Choi SK,et al."Genetic structure of wild boar (Sus scrofa) populations from East Asia based on microsatellite loci analyses".BMC GENETICS 15.X(2014):e85.

入库方式: OAI收割

来源:昆明动物研究所

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