Abstract: Background: The Hindu Kush and Karakoram mountain ranges in Pakistan�s northern areas are a natural habitat of the snow leopard (Panthera uncia syn. Uncia uncia) but the ecological studies on this animal are scarce since it is human shy by nature and lives in dif!cult mountainous tracts. The pilot study is conducted to exploit the genetic diversity and population structure of the snow leopard in this selected natural habitat of the member of the wildcat family in Pakistan.
Method: About 50 putative scat samples of snow leopard from !ve localities of Gilgit-Baltistan (Pakistan) along with a control sample of zoo maintained male snow leopard were collected for comparison. Signi!cant quality and quantity of genomic DNA was extracted from scat samples using combined Zhang�phenol�chloroform method and successful ampli!cation of cytochrome c oxidase I gene (190 bp) using mini-barcode primers, seven simple sequence repeats (SSR) markers and Y-linked AMELY gene (200 bp) was done.
Results: Cytochrome c oxidase I gene sequencing suggested that 33/50 (66%) scat samples were of snow leopard. AMELY primer suggested that out of 33 ampli!ed samples, 21 (63.63%) scats were from male and 12 (36.36%) from female leopards. Through successful ampli!cation of DNA of 25 out of 33 (75.75%) scat samples using SSR markers, a total of 68 alleles on seven SSR loci were identi!ed, showing low heterozygosity, while high gene "ow between population.
Discussion: The low gene flow rate among the population results in low genetic diversity causing decreased diversi!cation. This affects the adaptability to climatic changes, thus ultimately resulting in decreased population size of the species.

Abstract: The author reports the status of the captive population of snow leopards over the last three decades. Genetic and demographic information is also provided. The captive population as of 1992 was 541 leopards. klf. I

Abstract: An extraction and assay procedure to measure fecal estradiol-17-beta and progestin concentrations in several cat species was developed and validated for use for noninvasive monitoring of ovarian function. Fecal samples were collected over a range of 3-20 months from female tigers (three), lions (three), snow leopards (three), cheetahs (two), caracals (two), and domestic cats (five). Samples were extracted with 90% methanol, lipids removed with petroleum ether, and the estradiol and progestins in the methanol measured by radioimmunoassay (RIA). High Performance Liquid Chromatography (HPLC) fractionation and subsequent RIA of the fractions indicated that the estradiol-17-beta antiserum cross-reacted primarily with estradiol-17-beta in the feces of lions and tigers and was assumed to be specific for estradiol-17-beta in the feces of other species as well. However, there were several immunoreactive compounds, presumably progesterone metabolites, excreted in the feces which varied both quantitatively and qualitatively among species. The behavior of tigers, lions, cheetahs, and caracals was visually monitored during the collection period and frequency of sexual behaviors was positively correlated with increases in fecal estradiol in all species observed. The mean fecal estradiol-17-beta peaks were as follows: tigers, 128.0 +- 13.1; lions, 186.0 +- 14.8; snow leopards, 136.7 +- 15.9; cheetahs, 140.9 +- 9.0; caracals, 24.5 +- 4.0; and domestic cats 158.9 +- 19.3 ng/gm. Fecal progestin concentrations rose significantly (P lt 0,001) only after breeding or during pregnancy and were as follows: tigers, 5.6 +- 0.6; lions, 1.9 +- 0.1; cheetahs, 8.4 +- 1.1; and caracals, 2.4 +- 0.4 mu-g/gm. Fecal progestins were elevated for one-half to two-thirds of the gestation length during presumed pseudopregnancy but remained elevated throughout successful pregnancies. These results suggest that ovarian function can be monitored noninvasively in the family Felidae by the measurement of fecal estradiol-17-beta and progestin concentrations.

Abstract: Understanding landscape connectivity and population genetic parameters is imperative for threatened species management. However, such information is lacking for the snow leopard (Panthera uncia). This study sought to explore hierarchical snow leopard gene flow patterns and drivers of genetic structure in Mongolia and China. A total of 97 individuals from across Mongolia and from the north-eastern edge of the Qinghai-Tibetan Plateau in Gansu Province to the middle of Qinghai Province in China were genotyped across 24 microsatellite loci. Distance-based frameworks were used to determine a landscape scenario best explaining observed genetic structure. Spatial and non-spatial methods were used to investigate fine-scale autocorrelation and similarity patterns as well as genetic structure and admixture. A genetic macro-division between populations in China and Mongolia was observed, suggesting that the Gobi Desert is a substantial barrier to gene flow. However, admixture and support for a resistance-based mode of isolation suggests connective routes that could facilitate movement. Populations in Mongolia had greater connectivity, indicative of more continuous habitat. Drivers of genetic structure in China were difficult to discern, and fine-scale sampling is needed. This study elucidates snow leopard landscape connectivity and helps to prioritize conservation areas. Although contact zones may have existed and occasional crossings can occur, establishing corridors to connect these areas should not be a priority. Focus should be placed on maintaining the relatively high connectivity for snow leopard populations within Mongolia and increasing research efforts in China.