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Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management

Detailed information on the size and genetic structure of wildlife populations is critical for developing effective conservation strategies, especially for those species that have suffered population decline and fragmentation due to anthropogenic activities. In the present study, we used a non-invas...

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Autores principales: Yang, Jing, Zhu, Guo-Fen, Jiang, Jian, Xiang, Chang-Lin, Gao, Fu-Li, Bao, Wei-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755116/
https://www.ncbi.nlm.nih.gov/pubmed/31343854
http://dx.doi.org/10.24272/j.issn.2095-8137.2019.058
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author Yang, Jing
Zhu, Guo-Fen
Jiang, Jian
Xiang, Chang-Lin
Gao, Fu-Li
Bao, Wei-Dong
author_facet Yang, Jing
Zhu, Guo-Fen
Jiang, Jian
Xiang, Chang-Lin
Gao, Fu-Li
Bao, Wei-Dong
author_sort Yang, Jing
collection PubMed
description Detailed information on the size and genetic structure of wildlife populations is critical for developing effective conservation strategies, especially for those species that have suffered population decline and fragmentation due to anthropogenic activities. In the present study, we used a non-invasive approach combining fecal pellet sampling with mitochondrial DNA and nuclear DNA microsatellite marker analysis to monitor and compare the population structure of the Chinese goral (Naemorhedus griseus) in Beijing and northeast Inner Mongolia in China. Of the 307 fecal samples confirmed to be from N. griseus, 15 individuals (nine females and six males) were found in the Beijing population and 61 individuals (37 females and 24 males) were found in the Inner Mongolian population. Among these 76 individuals, we identified eight haplotypes and 13 nucleotide polymorphic sites from mtDNA and 45 alleles from 10 microsatellite loci. Spatially structured genetic variation and a significant level of genetic differentiation were observed between the two populations. In both populations, the sex ratios were skewed toward females, indicating high reproductive potential, which is crucial for population recovery and conservation of this patchily distributed vulnerable species. We suggest that managing the two populations as evolutionarily significant units with diverse genetic backgrounds could be an effective solution for present population recovery, with the possible relocation of individuals among different groups to help ensure future goral species prosperity.
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spelling pubmed-67551162020-02-27 Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management Yang, Jing Zhu, Guo-Fen Jiang, Jian Xiang, Chang-Lin Gao, Fu-Li Bao, Wei-Dong Zool Res Reports Detailed information on the size and genetic structure of wildlife populations is critical for developing effective conservation strategies, especially for those species that have suffered population decline and fragmentation due to anthropogenic activities. In the present study, we used a non-invasive approach combining fecal pellet sampling with mitochondrial DNA and nuclear DNA microsatellite marker analysis to monitor and compare the population structure of the Chinese goral (Naemorhedus griseus) in Beijing and northeast Inner Mongolia in China. Of the 307 fecal samples confirmed to be from N. griseus, 15 individuals (nine females and six males) were found in the Beijing population and 61 individuals (37 females and 24 males) were found in the Inner Mongolian population. Among these 76 individuals, we identified eight haplotypes and 13 nucleotide polymorphic sites from mtDNA and 45 alleles from 10 microsatellite loci. Spatially structured genetic variation and a significant level of genetic differentiation were observed between the two populations. In both populations, the sex ratios were skewed toward females, indicating high reproductive potential, which is crucial for population recovery and conservation of this patchily distributed vulnerable species. We suggest that managing the two populations as evolutionarily significant units with diverse genetic backgrounds could be an effective solution for present population recovery, with the possible relocation of individuals among different groups to help ensure future goral species prosperity. Science Press 2019-07-23 2019-09-18 /pmc/articles/PMC6755116/ /pubmed/31343854 http://dx.doi.org/10.24272/j.issn.2095-8137.2019.058 Text en Editorial Office of Zoological Research, Kunming Institute of Zoology, Chinese Academy of Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reports
Yang, Jing
Zhu, Guo-Fen
Jiang, Jian
Xiang, Chang-Lin
Gao, Fu-Li
Bao, Wei-Dong
Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management
title Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management
title_full Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management
title_fullStr Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management
title_full_unstemmed Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management
title_short Non-invasive genetic analysis indicates low population connectivity in vulnerable Chinese gorals: concerns for segregated population management
title_sort non-invasive genetic analysis indicates low population connectivity in vulnerable chinese gorals: concerns for segregated population management
topic Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755116/
https://www.ncbi.nlm.nih.gov/pubmed/31343854
http://dx.doi.org/10.24272/j.issn.2095-8137.2019.058
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