Dataset and R code: Genetic diversity of lion populations in Kenya: evaluating past management practices and recommendations for future conservation actions by Chege M et.al

The decline of lions (Panthera leo) in Kenya has raised conservation concerns on their overall population health and long-term survival. This study aimed to assess the genetic structure, differentiation, and diversity of lion populations in the country, while considering the influence of past management practices. Using a lion-specific Single Nucleotide Polymorphism (SNP) panel, we genotyped 171 individuals from 12 populations representative of areas with permanent lion presence. Our results revealed a distinct genetic pattern with pronounced population structure, confirmed a north-south split, and found no indication of inbreeding in any of the tested populations. Differentiation seems to be primarily driven by geographical barriers, human presence, and climatic factors, but management practices may have also affected the observed patterns. Notably, the Tsavo population displayed evidence of admixture, perhaps attributable to its geographic location as a suture zone, vast size, or to p..., This dataset was obtained from 12 kenyan lion populations. After DNA extraction, SNP genotyping was performed using an allele-specific KASP technique.
The attached datasets includes the .txt  and .str versions of the autosomal SNPs to aid in reproducing the results.  , , # dataset and r code associated with the publication entitled \"Genetic diversity of lion populations in Kenya: evaluating past management practices and recommendations for future conservation actions\" by Chege M et.al.

[https://doi.org/10.5061/dryad.s4mw6m9d8](https://doi.org/10.5061/dryad.s4mw6m9d8)

   We provide the following description of the dataset and scripts for analysis carried out in R: We have split the data and scripts for ease of reference i.e.,

 1.) Script 1: titled ‘***Calc_He_Ho_Ar_Fis’***. For calculating the genetic diversity indices i.e. allelic richness (AR), Private alleles (AP), Inbreeding coefficients (FIS), expected (HE) and observed heterozygosity (HO). This script uses:

* **“data_HoHeAr.txt”** dataset. This dataset has information on individual samples, including their geographical area (population) of origin and the corresponding 335 autosomal single nucleotide polymorphism (SNP) reads.

* ‘***shompole2.txt’***  this bears the dataset from the Shompol...