Biodiversity & The Tiger
Applied Genomics & Conservation of Tigers
One of the world’s most endangered species, tigers, have seen their numbers drop by more than 90% in less than a century. With constant pressure from human activities, such as poaching or habitat destruction, tigers are currently on the verge of extinction. Sequencing of the tiger genome has explained some fundamental characteristics of the physiology of the tiger, such as its olfactory sensitivity and the requirement of maintaining high metabolic rates. The publication of the tiger genome has also provided conservation scientists with an invaluable tool for monitoring the dynamics of the tiger population in the wild. Equipped with a reliable estimate of the number of tigers and a better understanding of their pedigrees and genetic relationships, researchers are now in a position to propose and coordinate rational and successful conservation efforts.
- SNP Analysis
Tigers have lost 93% of their historical range worldwide. Today the areas tigers inhabit tend to be small, with only a few tigers in each. Therefore, it is important to identify and conserve genetically connected populations and to maintain connectivity within them. Scientists are characterizing these populations using genome-wide SNPs to infer genetic connectivity.
- Wildlife Habitats
Specific to the tiger’s habitat, about one third of all Asian elephants, and all of the critically endangered Sumatran orangutans and rhinos live within it. Protecting tiger habitats not only is important to the iconic big cat, but also to many other threatened species.
- Ecosystem Health & Diversity
Tigers are typically the apex predator within the ecosystems they reside. Being at the top of the food chain helps regulate wild animal populations, keeping the environment healthy and diverse. The balance of predator and prey keeps all ecosystems harmonious.
Prevent Data Ambiguity with Unique Dual Index Barcodes
Ensure the accuracy of your NGS SNP analysis with PerkinElmer’s 384 unique dual index barcodes, which prevent data ambiguity caused by index hopping on patterned flow cells.