Genetics, Vol. 164, 269-275, May 2003, Copyright © 2003

Genetic Diversity and Population History of Golden Monkeys (Rhinopithecus roxellana)

Haipeng Lia,e, Shi-Jie Mengc, Zheng-Ming Mend, Yun-Xin Fue,b, and Ya-Ping Zhanga,b
a Laboratory of Molecular Evolution and Genome Diversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, China,
b Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming 650991, China,
c Department of Biology, Northwest University, 710069 China,
d Department of Animals, Gansu Agricultural University, Lanzhou 730070, China
e Human Genetics Center, University of Texas, Houston, Texas 77030

Corresponding author: Ya-Ping Zhang, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, Peoples' Republic of China., zhangyp{at}public.km.yn.cn (E-mail)

Communicating editor: W. STEPHAN

Golden monkey (Rhinopithecus roxellana), namely the snub-nosed monkey, is a well-known endangered primate, which distributes only in the central part of mainland China. As an effort to understand the current genetic status as well as population history of this species, we collected a sample of 32 individuals from four different regions, which cover the major habitat of this species. Forty-four allozyme loci were surveyed in our study by allozyme electrophoresis, none of which was found to be polymorphic. The void of polymorphism compared with that of other nonhuman primates is surprising particularly considering that the current population size is many times larger than that of some other endangered species. Since many independent loci are surveyed in this study, the most plausible explanation for our observation is that the population has experienced a recent bottleneck. We used a coalescent approach to explore various scenarios of population bottleneck and concluded that the most recent bottleneck could have happened within the last 15,000 years. Moreover, the proposed simulation approach could be useful to researchers who need to analyze the non- or low-polymorphism data.





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