散居大熊猫个体释放后种群遗传多样性及预测分析。

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
{"title":"散居大熊猫个体释放后种群遗传多样性及预测分析。","authors":"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","doi":"10.1177/1176934320939945","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":50472,"journal":{"name":"Evolutionary Bioinformatics","volume":"16 ","pages":"1176934320939945"},"PeriodicalIF":1.7000,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1176934320939945","citationCount":"5","resultStr":"{\"title\":\"Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals.\",\"authors\":\"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\",\"doi\":\"10.1177/1176934320939945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":50472,\"journal\":{\"name\":\"Evolutionary Bioinformatics\",\"volume\":\"16 \",\"pages\":\"1176934320939945\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2020-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1176934320939945\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evolutionary Bioinformatics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1177/1176934320939945\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"EVOLUTIONARY BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evolutionary Bioinformatics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1177/1176934320939945","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 5

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信