Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir Himalaya
The hangul Cervus hanglu hanglu, a Critically Endangered mountain ungulate of Jammu and Kashmir, India, faces the imminent threat of population loss and extinction. Effective management of its largest viable population in Dachigam National Park in the Kashmir Himalaya requires reliable demographic i...
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Cambridge University Press
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| Online Access: | https://www.cambridge.org/core/product/identifier/S0030605323001266/type/journal_article |
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| author | Sneha Narayan Tanushree Srivastava Gayathri Sreedharan Bapin K. Panda Javaid Hameed Karthikeyan Vasudevan P. Anuradha Reddy |
| author_facet | Sneha Narayan Tanushree Srivastava Gayathri Sreedharan Bapin K. Panda Javaid Hameed Karthikeyan Vasudevan P. Anuradha Reddy |
| author_sort | Sneha Narayan |
| collection | DOAJ |
| description | The hangul Cervus hanglu hanglu, a Critically Endangered mountain ungulate of Jammu and Kashmir, India, faces the imminent threat of population loss and extinction. Effective management of its largest viable population in Dachigam National Park in the Kashmir Himalaya requires reliable demographic information. Using 14 microsatellite markers we identified 293 individuals (208 females and 85 males) through faecal analysis, and generated data on the genetic status and population size of the hangul in its winter habitat. The mean expected and observed heterozygosities of 0.62 and 0.59 are comparable to those of several red deer Cervus elaphus populations elsewhere. The effective population sizes were 46.3 and 93.7 when the frequencies of rare alleles were considered to be 0.050 and 0.010, respectively. The average mean kinship of the population was 0.34, and there was no evidence of a recent bottleneck event. In genetic mark–recapture analysis the best model included an effect of sex on both detection and recapture probabilities. Detection of males was highest in November, coinciding with the hangul breeding season, whereas detection of females was highest in December. Our estimate of the hangul population using genetic mark–recapture with bootstrapping was 394 individuals. To our knowledge, this is the first study to use genetic data to estimate the population of the hangul. It will guide future studies of this subspecies and also serve as an impetus for identifying founder animals for captive breeding, and for connecting the population in Dachigam National Park with the other small, isolated populations to ensure the long-term survival of this subspecies. |
| first_indexed | 2024-03-08T23:54:54Z |
| format | Article |
| id | doaj.art-98d8090d3b844ccaa74d210ec5132e57 |
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| issn | 0030-6053 1365-3008 |
| language | English |
| last_indexed | 2024-03-08T23:54:54Z |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Oryx |
| spelling | doaj.art-98d8090d3b844ccaa74d210ec5132e572023-12-13T07:20:13ZengCambridge University PressOryx0030-60531365-30081910.1017/S0030605323001266Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir HimalayaSneha Narayan0https://orcid.org/0009-0001-8250-8005Tanushree Srivastava1https://orcid.org/0000-0001-5647-8431Gayathri Sreedharan2https://orcid.org/0000-0002-7277-8140Bapin K. Panda3https://orcid.org/0009-0007-7984-2241Javaid Hameed4https://orcid.org/0009-0009-2516-6588Karthikeyan Vasudevan5https://orcid.org/0000-0003-2316-3382P. Anuradha Reddy6https://orcid.org/0000-0002-3808-7223All authors are affiliated with CSIR–Centre for Cellular and Molecular Biology, Hyderabad, Telangana, IndiaAll authors are affiliated with CSIR–Centre for Cellular and Molecular Biology, Hyderabad, Telangana, IndiaAll authors are affiliated with CSIR–Centre for Cellular and Molecular Biology, Hyderabad, Telangana, IndiaAll authors are affiliated with CSIR–Centre for Cellular and Molecular Biology, Hyderabad, Telangana, IndiaAll authors are affiliated with CSIR–Centre for Cellular and Molecular Biology, Hyderabad, Telangana, IndiaAll authors are affiliated with CSIR–Centre for Cellular and Molecular Biology, Hyderabad, Telangana, IndiaAll authors are affiliated with CSIR–Centre for Cellular and Molecular Biology, Hyderabad, Telangana, IndiaThe hangul Cervus hanglu hanglu, a Critically Endangered mountain ungulate of Jammu and Kashmir, India, faces the imminent threat of population loss and extinction. Effective management of its largest viable population in Dachigam National Park in the Kashmir Himalaya requires reliable demographic information. Using 14 microsatellite markers we identified 293 individuals (208 females and 85 males) through faecal analysis, and generated data on the genetic status and population size of the hangul in its winter habitat. The mean expected and observed heterozygosities of 0.62 and 0.59 are comparable to those of several red deer Cervus elaphus populations elsewhere. The effective population sizes were 46.3 and 93.7 when the frequencies of rare alleles were considered to be 0.050 and 0.010, respectively. The average mean kinship of the population was 0.34, and there was no evidence of a recent bottleneck event. In genetic mark–recapture analysis the best model included an effect of sex on both detection and recapture probabilities. Detection of males was highest in November, coinciding with the hangul breeding season, whereas detection of females was highest in December. Our estimate of the hangul population using genetic mark–recapture with bootstrapping was 394 individuals. To our knowledge, this is the first study to use genetic data to estimate the population of the hangul. It will guide future studies of this subspecies and also serve as an impetus for identifying founder animals for captive breeding, and for connecting the population in Dachigam National Park with the other small, isolated populations to ensure the long-term survival of this subspecies.https://www.cambridge.org/core/product/identifier/S0030605323001266/type/journal_articleCervus hanglu hangluDachigam National ParkhangulKashmirmark–recapturemicrosatellite analysismountain ungulatespopulation genetics |
| spellingShingle | Sneha Narayan Tanushree Srivastava Gayathri Sreedharan Bapin K. Panda Javaid Hameed Karthikeyan Vasudevan P. Anuradha Reddy Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir Himalaya Oryx Cervus hanglu hanglu Dachigam National Park hangul Kashmir mark–recapture microsatellite analysis mountain ungulates population genetics |
| title | Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir Himalaya |
| title_full | Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir Himalaya |
| title_fullStr | Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir Himalaya |
| title_full_unstemmed | Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir Himalaya |
| title_short | Genetic insights to assist management of the Critically Endangered hangul Cervus hanglu hanglu in the Kashmir Himalaya |
| title_sort | genetic insights to assist management of the critically endangered hangul cervus hanglu hanglu in the kashmir himalaya |
| topic | Cervus hanglu hanglu Dachigam National Park hangul Kashmir mark–recapture microsatellite analysis mountain ungulates population genetics |
| url | https://www.cambridge.org/core/product/identifier/S0030605323001266/type/journal_article |
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