Come together: calibration of tiger shark (Galeocerdo cuvier) microsatellite databases for investigating global population structure and assignment of historical specimens

This study provides the first standardized global microsatellite database for a shark species, the tiger shark (Galeocerdo cuvier). Genotyping of reference individuals was used to develop and apply a calibration key for data from eight microsatellite loci data produced by three different laboratories, thereby allowing merging of genotypes into a single dataset. The unified data helped to elucidate the global population structure of the species and provided improved statistical power, through allowing a higher number of samples per location compared to the original studies from which the samples were obtained. Pairwise F-ST estimates and PCA plots showed significant genetic differentiation between Atlantic and Indo-Pacific samples, confirming previous findings by identifying the presence of a strong genetic break between tiger sharks inhabiting the two ocean basins. In turn, the standardized database (n = 799) also allowed archived historical samples to be genotyped and assigned back to their population (ocean basin) of origin. We demonstrate how calibration tests in population structure studies using microsatellite data is important as it simply provides more data to single studies. Importance factors for successful assignment analysis is discussed, as well as how the possibility of assigning historical samples of unknown origin back to the population, increases sample value. Our results demonstrate that global calibration of microsatellite and other genetic datasets can improve the statistical power and resolution of population structure analysis; an approach applicable not only when working with highly mobile globally distributed species such as the tiger shark, but with any species for which multiple genetic datasets exist.

Automated summary

This study provides the first standardized global microsatellite database for tiger sharks, elucidating the global population structure of the species. Through the use of a calibration key, data from three different laboratories were merged, increasing statistical power and showing significant genetic differentiation between Atlantic and Indo-Pacific samples. By applying this calibration approach, historical samples can also be assigned back to their population of origin, improving the resolution of population structure analysis.