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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 u...

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Autores principales: Dai, Qin-Long, Li, Jian-Wei, Yang, Yi, Li, Min, Zhang, Kan, He, Liu-Yang, Zhang, Jun, Tang, Bo, Liu, Hui-Ping, Li, Yu-Xia, Zhu, Li-Feng, Yang, Zhi-Song, Dai, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357131/
https://www.ncbi.nlm.nih.gov/pubmed/32699496
http://dx.doi.org/10.1177/1176934320939945
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author Dai, Qin-Long
Li, Jian-Wei
Yang, Yi
Li, Min
Zhang, Kan
He, Liu-Yang
Zhang, Jun
Tang, Bo
Liu, Hui-Ping
Li, Yu-Xia
Zhu, Li-Feng
Yang, Zhi-Song
Dai, Qiang
author_facet Dai, Qin-Long
Li, Jian-Wei
Yang, Yi
Li, Min
Zhang, Kan
He, Liu-Yang
Zhang, Jun
Tang, Bo
Liu, Hui-Ping
Li, Yu-Xia
Zhu, Li-Feng
Yang, Zhi-Song
Dai, Qiang
author_sort Dai, Qin-Long
collection PubMed
description 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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spelling pubmed-73571312020-07-21 Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals Dai, Qin-Long Li, Jian-Wei Yang, Yi Li, Min Zhang, Kan He, Liu-Yang Zhang, Jun Tang, Bo Liu, Hui-Ping Li, Yu-Xia Zhu, Li-Feng Yang, Zhi-Song Dai, Qiang Evol Bioinform Online Original Research 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. SAGE Publications 2020-07-10 /pmc/articles/PMC7357131/ /pubmed/32699496 http://dx.doi.org/10.1177/1176934320939945 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Dai, Qin-Long
Li, Jian-Wei
Yang, Yi
Li, Min
Zhang, Kan
He, Liu-Yang
Zhang, Jun
Tang, Bo
Liu, Hui-Ping
Li, Yu-Xia
Zhu, Li-Feng
Yang, Zhi-Song
Dai, Qiang
Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals
title Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals
title_full Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals
title_fullStr Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals
title_full_unstemmed Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals
title_short Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals
title_sort genetic diversity and prediction analysis of small isolated giant panda populations after release of individuals
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357131/
https://www.ncbi.nlm.nih.gov/pubmed/32699496
http://dx.doi.org/10.1177/1176934320939945
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