Fan Jiang1,2, Ruiyi Lin3, Changyi Xiao1, Tanghui Xie1, Yaoxin Jiang1, Jianhai Chen1,4, Pan Ni2, Wing-Kin Sung1,5, Jianlin Han6,7, Xiaoyong Du8,9, Shijun Li10,11. 1. Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China. 2. Key Lab of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China. 3. College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, People's Republic of China. 4. Institute for Systems Genetics, West China Hospital, Auspiciousness Peace Center, Gaopeng Avenue, Wuhou District, Chengdu, 610041, People's Republic of China. 5. Department of Computer Science, National University of Singapore, Singapore, 117417, Singapore. 6. International Livestock Research Institute (ILRI), Nairobi, Kenya. h.jianlin@cgiar.org. 7. CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, People's Republic of China. h.jianlin@cgiar.org. 8. Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China. duxiaoyong@mail.hzau.edu.cn. 9. Key Lab of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China. duxiaoyong@mail.hzau.edu.cn. 10. Key Lab of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China. lishijun@mail.hzau.edu.cn. 11. Joint International Research Laboratory of Modern Agricultural Technology, Ministry of Education, Jilin Agricultural University, Changchun, 130118, People's Republic of China. lishijun@mail.hzau.edu.cn.
Abstract
BACKGROUND: The most prolific duck genetic resource in the world is located in Southeast/South Asia but little is known about the domestication and complex histories of these duck populations. RESULTS: Based on whole-genome resequencing data of 78 ducks (Anas platyrhynchos) and 31 published whole-genome duck sequences, we detected three geographic distinct genetic groups, including local Chinese, wild, and local Southeast/South Asian populations. We inferred the demographic history of these duck populations with different geographical distributions and found that the Chinese and Southeast/South Asian ducks shared similar demographic features. The Chinese domestic ducks experienced the strongest population bottleneck caused by domestication and the last glacial maximum (LGM) period, whereas the Chinese wild ducks experienced a relatively weak bottleneck caused by domestication only. Furthermore, the bottleneck was more severe in the local Southeast/South Asian populations than in the local Chinese populations, which resulted in a smaller effective population size for the former (7100-11,900). We show that extensive gene flow has occurred between the Southeast/South Asian and Chinese populations, and between the Southeast Asian and South Asian populations. Prolonged gene flow was detected between the Guangxi population from China and its neighboring Southeast/South Asian populations. In addition, based on multiple statistical approaches, we identified a genomic region that included three genes (PNPLA8, THAP5, and DNAJB9) on duck chromosome 1 with a high probability of gene flow between the Guangxi and Southeast/South Asian populations. Finally, we detected strong signatures of selection in genes that are involved in signaling pathways of the nervous system development (e.g., ADCYAP1R1 and PDC) and in genes that are associated with morphological traits such as cell growth (e.g., IGF1R). CONCLUSIONS: Our findings provide valuable information for a better understanding of the domestication and demographic history of the duck, and of the gene flow between local duck populations from Southeast/South Asia and China.
BACKGROUND: The most prolific duck genetic resource in the world is located in Southeast/South Asia but little is known about the domestication and complex histories of these duck populations. RESULTS: Based on whole-genome resequencing data of 78 ducks (Anas platyrhynchos) and 31 published whole-genome duck sequences, we detected three geographic distinct genetic groups, including local Chinese, wild, and local Southeast/South Asian populations. We inferred the demographic history of these duck populations with different geographical distributions and found that the Chinese and Southeast/South Asian ducks shared similar demographic features. The Chinese domestic ducks experienced the strongest population bottleneck caused by domestication and the last glacial maximum (LGM) period, whereas the Chinese wild ducks experienced a relatively weak bottleneck caused by domestication only. Furthermore, the bottleneck was more severe in the local Southeast/South Asian populations than in the local Chinese populations, which resulted in a smaller effective population size for the former (7100-11,900). We show that extensive gene flow has occurred between the Southeast/South Asian and Chinese populations, and between the Southeast Asian and South Asian populations. Prolonged gene flow was detected between the Guangxi population from China and its neighboring Southeast/South Asian populations. In addition, based on multiple statistical approaches, we identified a genomic region that included three genes (PNPLA8, THAP5, and DNAJB9) on duck chromosome 1 with a high probability of gene flow between the Guangxi and Southeast/South Asian populations. Finally, we detected strong signatures of selection in genes that are involved in signaling pathways of the nervous system development (e.g., ADCYAP1R1 and PDC) and in genes that are associated with morphological traits such as cell growth (e.g., IGF1R). CONCLUSIONS: Our findings provide valuable information for a better understanding of the domestication and demographic history of the duck, and of the gene flow between local duck populations from Southeast/South Asia and China.
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Authors: Yinhua Huang; Yingrui Li; David W Burt; Hualan Chen; Yong Zhang; Wubin Qian; Heebal Kim; Shangquan Gan; Yiqiang Zhao; Jianwen Li; Kang Yi; Huapeng Feng; Pengyang Zhu; Bo Li; Qiuyue Liu; Suan Fairley; Katharine E Magor; Zhenlin Du; Xiaoxiang Hu; Laurie Goodman; Hakim Tafer; Alain Vignal; Taeheon Lee; Kyu-Won Kim; Zheya Sheng; Yang An; Steve Searle; Javier Herrero; Martien A M Groenen; Richard P M A Crooijmans; Thomas Faraut; Qingle Cai; Robert G Webster; Jerry R Aldridge; Wesley C Warren; Sebastian Bartschat; Stephanie Kehr; Manja Marz; Peter F Stadler; Jacqueline Smith; Robert H S Kraus; Yaofeng Zhao; Liming Ren; Jing Fei; Mireille Morisson; Pete Kaiser; Darren K Griffin; Man Rao; Frederique Pitel; Jun Wang; Ning Li Journal: Nat Genet Date: 2013-06-09 Impact factor: 38.330