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. 2023 Feb 22;13(2):e9837. doi: 10.1002/ece3.9837

TABLE 1.

Description of the different Carcharhinus leucas datasets used in this study.

Data set Genotyping method Data description Usage Before filtering After filtering
DArTseq1 DArTseq Full global dataset including replicates and other species For species identification (allow more missing data and higher levels of heterozygosity) 218 sharks; 250,945 SNPs 218 sharks; 28,418 SNPs
DArTseq2 DArTseq Full global dataset with only Bull Shark samples For DArTcap marker selection 182 sharks; 250,945 SNPs 149 sharks; 17,029 SNPs
DATA1 DArTcap Full global dataset including replicates and other species For species identification (allow more missing data and higher levels of heterozygosity) 1014 sharks; 37,537 SNPs 1014 sharks; 5053 SNPs
DATA2 DArTcap Global dataset with confirmed Bull Sharks For genetic diversity, FST, and provenance assignment 868 sharks; 37,537 SNPs 769 sharks; 3409 SNPs
DATA3 DArTcap Global Bull Shark dataset with a subset of 60 samples from Australia Equalized sample size to allow unbiased clustering analyses 430 sharks; 37,537 SNPs 382 sharks; 1849 SNPs
DATA4 DArTcap All western Atlantic Bull Shark samples For genetic diversity estimates without bias from population structure 117 sharks; 37,537 SNPs 91 sharks; 931 SNPs
DATA5 DArTcap All Indo‐West Pacific Bull Shark samples For genetic diversity estimates without bias from population structure 732 sharks; 37,537 SNPs 635 sharks; 3416 SNPs
DATA6 DArTcap IWP data with a subset of 60 samples from Australia Equalized sample size to allow unbiased clustering analyses 221 sharks; 37,537 SNPs 189 sharks; 1785 SNPs

Note: The data generated by DArTseq and DArTcap genotyping were subdivided to account for unequal samples sizes and hierarchical clustering. The number of sharks and SNPs before and after quality filtering are presented.