Recapitulating whole genome based population genetic structure for Indian wild tigers through an ancestry informative marker panel.

Identification of genetic structure within wildlife populations have implications in their conservation and management. Accurately inferring population genetic structure requires whole-genome data across the geographical range of the species, which can be resource-intensive. A cheaper strategy is to employ a subset of markers that can efficiently recapitulate the population genetic structure inferred by the whole genome data. Such ancestry informative markers (AIMs), have rarely been developed for endangered species such as tigers utilizing single nucleotide polymorphisms (SNPs). Here, we first identify the population structure of the Indian tiger using whole-genome sequences and then develop an AIMs panel with a minimum number of SNPs that can recapitulate this structure. We identified four population clusters of Indian tigers with North-East, North-West, and South Indian tigers forming three separate groups, and Terai and Central Indian tigers forming a single cluster. To evaluate the robustness of our AIMs, we applied it to a separate dataset of tigers from across India. Out of 92 SNPs present in our AIMs panel, 49 were present in the new dataset. These 49 SNPs were sufficient to recapitulate the population genetic structure obtained from the whole genome data. To the best of our knowledge, this is the first-ever SNP-based AIMs panel for big cats, which can be used as a cost-effective alternative to whole-genome sequencing for detecting the biogeographical origin of Indian tigers. Our study can be used as a guideline for developing an AIMs panel for the management of other endangered species where obtaining whole genome sequences are difficult.

Population genetic variation of SLC6A4 gene, associated with neurophysiological development.

The serotonin transporter 5-HTT is encoded by a single gene SLC6A4. Polymorphisms in SLC6A4 has been associated with a wide variety of neurological and psychiatric disorders including increased risk of posttraumatic stress disorder, higher likelihood for depression, obsessive-compulsive disorder (OCD), increased hostility and criminal behaviour. Genes associated with complex diseases often exhibit strong signatures of purifying selection compared to others. Further, discernible population specific variation in the signature of natural selection have been observed for several complex disease-related genes. In this project we aimed to investigate the population genetic variation of the serotonin transporter gene (SLC6A4), focussing on the single nucleotide polymorphisms (SNPs). To this end, we employed 2504 individuals around the globe available in 1000 Genome project Phase III data and classified them into five ethnic groups: Americans (AMR), Europeans (EUR), Africans (AFR), East Asians (EAS) and South Asians (SAS). Principal component analysis (PCA) performed on all annotated SNPs of SLC6A4 depicted clear clustering between Africans and the rest of the world along PC1, and East Asians and other non-African populations along PC2. Further, these SNPs were found to be under strong selection pressure especially among East Asian populations with significantly high positive cross-population extended haplotype homozygosity scores compared to Africans, indicating that SLC6A4 has likely undergone a strong selective sweep among the East Asians in the recent past. Our study can potentially explain the association between polymorphisms in SLC6A4, and major depression and suicidal tendencies among people of East Asian ancestry and the absence of such associations among people of European ancestry.