Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study

Animal Conservation - Tập 11 Số 5 - Trang 401-411 - 2008
Jan E. Janečka1, Rodney Jackson2, Z. Yuquang3, Diqiang Li3, Bariushaa Munkhtsog4, Valerie A. Buckley-Beason5, William J. Murphy1
1Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA
2Snow Leopard Conservancy, Sonoma, CA, USA
3Institute of Forest Ecology, Environment, and Protection and the Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Chinese Academy of Forestry, Beijing, China
4Institute of Biology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
5Molecular and Microbiology Department, George Mason University, Manassas, VA, USA

Tóm tắt

AbstractThe endangered snow leopardPanthera unciaoccurs in rugged, high‐altitude regions of Central Asia. However, information on the status of this felid is limited in many areas. We conducted a pilot study to optimize moecular markers for the analysis of snow leopard scat samples and to examine the feasibility of using noninvasive genetic methods for monitoring this felid. We designed snow leopard‐specific primers for seven microsatellite loci that amplified shorter segments and avoided flanking sequences shared with repetitive elements. By redesigning primers we maximized genotyping success and minimized genotyping errors. In addition, we tested a Y chromosome‐marker for sex identification and designed a panel of mitochondrial DNA primers for examining genetic diversity of snow leopards using scat samples. We collected scats believed to be from snow leopards in three separate geographic regions including north‐western India, central China and southern Mongolia. We observed snow leopard scats in all three sites despite only brief 2‐day surveys in each area. There was a high rate of species misidentification in the field with up to 54% of snow leopard scats misidentified as red fox. The high rate of field misidentification suggests sign surveys incorporating scat likely overestimate snow leopard abundance. The highest ratio of snow leopard scats was observed in Ladakh (India) and South Gobi (Mongolia), where four and five snow leopards were detected, respectively. Our findings describe a species‐specific molecular panel for analysis of snow leopard scats, and highlight the efficacy of noninvasive genetic surveys for monitoring snow leopards. These methods enable large‐scale noninvasive studies that will provide information critical for conservation of snow leopards.

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Tài liệu tham khảo

10.1007/s10592-006-9154-5

Ahlborn G., 1988, 5th international snow leopard symposium, 25

10.1017/S0030605307001585

10.1016/j.ympev.2005.07.019

Broquet T., 2007, Noninvasive population genetics, a review of sample source, diet, fragment length and microsatellite motif effects on amplification success and genotyping error rates, 8, 249

10.1111/j.1365-294X.2004.02352.x

10.1007/BF00417432

10.1016/j.cub.2006.08.066

Callen D.F., 1993, Incidence and origin of ’Null” alleles in the (AC)n microsatellite markers, Am. J. Hum. Genet., 52, 922

10.1046/j.1365-294X.2003.01868.x

10.1093/oxfordjournals.molbev.a003889

Davison A., 2002, On the origin of faeces, morphological versus molecular methods for surveying rare carnivores from their scats, 257, 141

10.1126/science.1139518

10.1046/j.1365-294x.2000.01037.x

10.1017/S0030605303000085

Jackson R., 1996, Home range, movements and habitat use of snow leopards (Uncia uncia) in Nepal

Jackson R., 1996, Snow leopard survey and conservation handbook

10.2193/0091-7648(2006)34[772:ESLPAU]2.0.CO;2

10.1016/S1567-7249(01)00027-7

Johnson W.E., 2006, The late Miocene radiation of modern Felidae, a genetic assessment, 311, 73

Kay R.W., 2008, Landscape ecology of eastern coyotes based on large‐scale estimates of abundance, Ecol. Appl., 18, 1014, 10.1890/07-0298.1

10.1126/science.1076980

10.1186/1471-2164-7-269

McCarthy T.M., 2003, Snow leopard survival strategy

10.1016/j.biocon.2005.03.003

McCarthy T.M., 1997, 8th international snow leopard symposium, 57

McKelvey K.S., 2004, Genetic errors associated with population estimation using non‐invasive molecular tagging, problems and new solutions, 68, 439

10.1006/geno.1999.5743

10.1093/jhered/esg008

Mills L.S., 2000, Estimating animal abundance using noninvasive DNA sampling, promise and pitfalls, 10, 283

10.1111/j.1471-8286.2006.01413.x

10.1101/gr.9.12.1223

Nadir E., 1996, Microsatellite spreading in the human genome, evolutionary mechanisms and structural implications, 93, 6470

Nowell K., 1996, Wild cats: status, survey and conservation action plan

Oli M.K., 1997, Winter home range of snow leopards in Nepal, Mammalia, 61, 355, 10.1515/mammalia-1997-610303

10.1111/j.1365-294X.1994.tb00127.x

Peakall R., 2006, GeneAlex 6, genetic analysis in excel. Population genetic software for teaching and research, 6, 288

10.1071/WR02077

Pompano F., 2005, Genotyping errors, causes, consequences and solutions, 6, 847

10.1111/j.1558-5646.1989.tb04220.x

10.1093/bioinformatics/btg359

Schaller G.B., 1988, Wildlife of Tibetan steppe

10.1016/0006-3207(88)90138-3

10.1016/j.tree.2006.08.009

10.7208/chicago/9780226518237.001.0001

Taberlet P., 1999, Noninvasive genetic sampling, look before you leap, 14, 323

Valiere N., 2007, Importance of a pilot study for non‐invasive genetic sampling, genotyping errors and population size estimation in red deer, 8, 69

10.1111/j.1471-8286.2006.01591.x

Waits L.P., 2001, Estimating the probability of identity among genotypes in natural populations, cautions and guidelines, 10, 249

Waits L.P., 2005, Noninvasive genetic sampling tools for wildlife biologists, a review of applications and recommendations for accurate data collection, 69, 1419

10.1093/sysbio/46.4.622