Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals.

IF 1.7 4区 生物学 Q4 EVOLUTIONARY BIOLOGY Evolutionary Bioinformatics Pub Date : 2020-07-10 eCollection Date: 2020-01-01 DOI:10.1177/1176934320939945
Qin-Long Dai, Jian-Wei Li, Yi Yang, Min Li, Kan Zhang, Liu-Yang He, Jun Zhang, Bo Tang, Hui-Ping Liu, Yu-Xia Li, Li-Feng Zhu, Zhi-Song Yang, Qiang Dai
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引用次数: 5

Abstract

Release of individuals is an effective conservation approach to protect endangered species. To save this small isolated giant panda population in Liziping Nature Reserve, a few giant pandas have been released to this population. Here we assess genetic diversity and future changes in the population using noninvasive genetic sampling after releasing giant pandas. In this study, a total of 28 giant pandas (including 4 released individuals) were identified in the Liziping, China. Compared with other giant panda populations, this population has medium-level genetic diversity; however, a Bayesian-coalescent method clearly detected, quantified, and dated a recent decrease in population size. The predictions for genetic diversity and survival of the population in the next 100 years indicate that this population has a high risk of extinction. We show that released giant pandas can preserve genetic diversity and improve the probability of survival in this small isolated giant panda population. To promote the recovery of this population, we suggest that panda release should be continued and this population will need to release 10 males and 20 females in the future.

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散居大熊猫个体释放后种群遗传多样性及预测分析。
个体放生是保护濒危物种的有效方法。为了拯救李子坪自然保护区这个孤立的小大熊猫种群,一些大熊猫被释放到这个种群中。在此,我们使用非侵入性基因采样方法评估大熊猫放归后种群的遗传多样性和未来变化。本研究在中国黎子坪共鉴定了28只大熊猫,其中包括4只放生个体。与其他大熊猫种群相比,该种群具有中等水平的遗传多样性;然而,贝叶斯聚结方法清楚地检测、量化和确定了最近种群规模的减少。对该种群未来100年的遗传多样性和生存的预测表明,该种群有很高的灭绝风险。我们的研究表明,在这个孤立的小大熊猫种群中,放生大熊猫可以保持遗传多样性,提高生存概率。为了促进该种群的恢复,我们建议继续放生大熊猫,未来该种群需要放生10只雄性大熊猫和20只雌性大熊猫。
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来源期刊
Evolutionary Bioinformatics
Evolutionary Bioinformatics 生物-进化生物学
CiteScore
4.20
自引率
0.00%
发文量
25
审稿时长
12 months
期刊介绍: Evolutionary Bioinformatics is an open access, peer reviewed international journal focusing on evolutionary bioinformatics. The journal aims to support understanding of organismal form and function through use of molecular, genetic, genomic and proteomic data by giving due consideration to its evolutionary context.
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