Watanabe, M., Sugano, S., Togashi, T., Imai, J., Uchida, K., Yamaguchi, R., et al. (2000). Molecular cloning and phylogenetic analysis of canine beta-casein. DNA Seq, 11(3-4), 295–300.
Abstract: A canine beta-casein cDNA was isolated from mammary tissue by polymerase chain reaction (PCR) using degenerate primers. It encodes 250 amino acids protein containing the conserved sequence motif of beta- casein. It showed the highest homology with snow-leopard (Uncia uncia (55-62% identity). It also showed 44-53% identity with human, 33-42%, identity with mouse, 29-37%, identity with rat, 43-53% identity with rabbit, 41-48% identity with pig, 44-51% identity with cattle and 44- 50% identity with sheep. A 1.2-kb mRNA was detected in mammary tissue by Northern blot analysis. Phylogenetic analysis revealed that canine beta-casein formed a branch with lesser panda and snow leopard, which were grouped into carnivore.
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Watts, S. W., McCarthy, T. M., Namgail, T. (2019). Modelling potential habitat for snow leopards (Panthera uncia) in
Ladakh, India.
Abstract: The snow leopard Panthera uncia is an elusive species
inhabiting some of the most remote and inaccessible tracts of Central
and South Asia. It is difficult to determine its distribution and
density pattern, which are crucial for developing conservation
strategies. Several techniques for species detection combining camera
traps with remote sensing and geographic information systems have been
developed to model the habitat of such cryptic and low-density species
in challenging terrains. Utilising presence-only data from camera traps
and direct observations, alongside six environmental variables
(elevation, aspect, ruggedness, distance to water, land cover, and prey
habitat suitability), we assessed snow leopard habitat suitability
across Ladakh in northern India. This is the first study to model snow
leopard distribution both in India and utilising direct observation
data. Results suggested that elevation and ruggedness are the two most
influential environmental variables for snow leopard habitat
suitability, with highly suitable habitat having an elevation range of
2,800 m to 4,600 m and ruggedness of 450 m to 1,800 m. Our habitat
suitability map estimated approximately 12% of Ladakh’s geographical
area (c. 90,000 km2) as highly suitable and 18% as medium suitability.
We found that 62.5% of recorded livestock depredation along with over
half of all livestock corrals (54%) and homestays (58%) occurred within
highly suitable snow leopard habitat. Our habitat suitability model can
be used to assist in allocation of conservation resources by targeting
construction of livestock corrals to areas of high habitat suitability
and promoting ecotourism programs in villages in highly suitable snow
leopard habitat.
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Weckworth, B. (2021). Snow Leopard (Panthera uncia) Genetics: The Knowledge Gaps, Needs, and Implications for Conservation. Journal of the Indian Institute of Science, , 1–12.
Abstract: Conservation geneticists apply genetic theory and techniques to preserve endangered species as dynamic entities, capable of coping with environmental change and thus minimizing their risk of extinction. Snow leopards are an umbrella species of High Asia, and a keystone for maintaining biodiversity within this fragile ecosystem. A clear understanding of patterns of snow leopard genetic diversity is critical for guiding conservation initiatives that will ensure their long-term persistence. Yet, a comprehensive analysis of snow leopard genetic variation is lacking. The number of published snow leopard genetic studies is far fewer than for other imperiled big cats. Here, I review the limited genetic work to date on snow leopards and the significant knowledge gaps to be filled. An emphasis must be placed on describing and understanding population genetic dynamics within and among meta-populations to provide information about the interactions between landscapes and the micro-evolutionary processes of gene flow and genetic drift. These results can be used to evaluate the levels and dynamics of genetic and demographic connectivity. A lack of connectivity, particularly in the low density, small populations that typify snow leopards, can lead to multiple demographic and genetic consequences, including inbreeding depression, loss of adaptive potential, and heightened susceptibility to demographic and environmental stochasticity. New efforts in conservation research on snow leopards should focus on this line of inquiry, and the opportunities and challenges for that are outlined and discussed to encourage the required, and considerable, transboundary partnerships and collaborations needed to be successful.
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Wegge, P., Shrestha, R., Flagstad, O. (2012). Snow leopard Panthera uncia predation on livestock and wild prey in a mountain valley in northern Nepal: implications for conservation management. Wildlife Biology, 18(10.2981/11-049), 131–141.
Abstract: The globally endangered snow leopard Panthera uncia is sparsely distributed throughout the rugged mountains in Asia.
Its habit of preying on livestock poses a main challenge to management. In the remote Phu valley in northern Nepal, we
obtained reliable information on livestock losses and estimated predator abundance and diet composition from DNA
analysis and prey remains in scats. The annual diet consisted of 42%livestock. Among the wild prey, bharal (blue sheep/
naur) Pseudois nayaur was by far the most common species (92%). Two independent abundance estimates suggested that
there were six snow leopards in the valley during the course of our study. On average, each snow leopard killed about one
livestock individual and two bharal permonth. Predation loss of livestock estimated fromprey remains in scats was 3.9%,
which was in concordance with village records (4.0%). From a total count of bharal, the only large natural prey in the area
and occurring at a density of 8.4 animals/km2 or about half the density of livestock, snow leopards were estimated to
harvest 15.1% of the population annually. This predation rate approaches the natural, inherent recruitment rate of this
species; in Phu the proportion of kids was estimated at 18.4%. High livestock losses have created a hostile attitude against
the snow leopard and mitigation measures are needed. Among innovative management schemes now being implemented
throughout the species’ range, compensation and insurance programmes coupled with other incentive measures are
encouraged, rather than measures to reduce the snow leopard’s access to livestock. In areas like the Phu valley, where the
natural prey base consists mainly of one ungulate species that is already heavily preyed upon, the latter approach, if
implemented, will lead to increased predation on this prey, which over time may suppress numbers of both prey and
predator.
Keywords: bharal, blue sheep, diet, genetic sampling, naur, Panthera uncia, predation, Pseudois nayaur, scat analysis, snow leopard, wildlife conflict
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Wei, L., Wu, X., & Jiang, Z. (2008). The complete mitochondrial genome structure of snow leopard Panthera uncia.
Abstract: The complete mitochondrial genome (mtDNA) of snow leopard Panthera uncia was obtained by using the polymerase chain reaction (PCR) technique based on the PCR fragments of 30 primers we designed. The entire mtDNA sequence was 16 773 base pairs (bp) in length, and the base composition was: A-5,357ª“,Ž+bp (31.9%); C-4,444ª”,Ž+bp (26.5%); G-2,428ª“,Ž+bp (14.5%); T-4,544ª”,Ž+bp (27.1%). The structural characteristics [0] of the P. uncia mitochondrial genome were highly similar to these of Felis catus, Acinonyx jubatus, Neofelis nebulosa and other mammals. However, we found several distinctive features of the mitochondrial genome of Panthera unica. First, the termination codon of COIII was TAA, which differed from those of F. catus, A. jubatus and N. nebulosa. Second, tRNASer (AGY), which lacked the ''DHU'' arm, could not be folded into the typical cloverleaf-shaped structure. Third, in the control region, a long repetitive sequence in RS-2 (32ª“,Ž+bp) region was found with 2 repeats while one short repetitive segment (9ª”,Ž+bp) was found with 15 repeats in the RS-3 region. We performed phylogenetic analysis based on a 3 816ª",Ž+bp concatenated sequence of 12S rRNA, 16S rRNA, ND2, ND4, ND5, Cyt b and ATP8 for P. uncia and other related species, the result indicated that P. uncia and P. leo were the sister species, which was different from the previous findings. (c) 2008 Springer Science+Business Media B.V.
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Weilemann P. (1982). Experiences in births of snow leopards in Zurich Zoo. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 3 (Vol. 3, pp. 111–116). Helsinki: Helsinki Zoo.
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Weilenmann, P. (1978). First experiences in keeping snow leopards in the Zurich Zoo. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 1 (Vol. 1, pp. 35–43). Helsinki: Helsinki Zoo.
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Weilenmann, P. (1980). Some indications of weights of young snow leopards in Zurich Zoo. In International Snow Leopard Conference Zurich (1).
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Weiskopf, S. R., Kachel, S. M., McCarthy, K. P. (2016). What Are Snow Leopards Really Eating? Identifying Bias in Food-Habit Studies. Wildlife Society Bulletin, , 1–8.
Abstract: Declining prey populations are widely recognized as a primary threat to snow leopard (Panthera
uncia) populations throughout their range. Effective snow leopard conservation will depend upon reliable
knowledge of food habits. Unfortunately, past food-habit studies may be biased by inclusion of nontarget
species in fecal analysis, potentially misinforming managers about snow leopard prey requirements.
Differentiation between snow leopard and sympatric carnivore scat is now cost-effective and reliable using
genetics. We used fecal mitochondrial DNA sequencing to identify scat depositors and assessment bias in
snow leopard food-habit studies. We compared presumed, via field identification, and genetically confirmed
snow leopard scats collected during 2005 and 2012 from 4 sites in Central Asia, using standard forensic
microscopy to identify prey species. Field identification success varied across study sites, ranging from 21% to
64% genetically confirmed snow leopard scats. Our results confirm the importance of large ungulate prey for
snow leopards. Studies that fail to account for potentially commonplace misidentification of snow leopard
scat may mistakenly include a large percentage of scats originating from other carnivores and report
inaccurate dietary assessments. Relying on field identification of scats led to overestimation of percent
occurrence, biomass, and number of small mammals consumed, but underestimated values of these measures for large ungulates in snow leopard diet. This clarification suggests that the conservation value of secondary prey, such as marmots (Marmota spp.) and other small mammals, may be overstated in the literature; stable snow leopard populations are perhaps more reliant upon large ungulate prey than previously understood.
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Wemmer, C., & Sunquist, M. (1988). Felid Reintroductions: Economic and Energetic Considerations. In H.Freeman (Ed.), (pp. 193–205). India: International Snow Leopard Trust and Wildlife Institute of India.
Abstract: Reintroduction and captive breeding are often touted as panaceas for extinction in the wild. The populace at large, educated insuch matters by the mass media, places great faith in such wildlife technology. Furthermore, the wildlife professionals who develope recovery and managemnt plans for endangered species often include a section on reintroduction and sometimes advocate captive breeding as a source of colonizing stock.
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