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*The classification of microsatellite genotypes is detailed in the "Material and Method" section.

The sampling variance was pq/2 N. The main source of error in pooled analysis of microsatellite genotypes is the degree of stutter (false bands of lower intensity representing PCR products in which one or more repeats has been lost) and differential amplification (the degree to which smaller alleles are amplified preferentially to larger alleles in PCR reactions).

Within each colony, from one to three microsatellite genotypes were detected over the course of the study (Table 1).

Microsatellite genotypes were tested for linkage equilibrium and departure from Hardy-Weinberg equilibrium within each population at each locus using the computer program GDA [38].

No significant association for the MAML3 microsatellite genotypes was detected.

Carcharhinus obscurus microsatellite genotypes were obtained from four loci.

All microsatellite genotypes are given in [Additional file 1].

Microsatellite genotypes were available for all individuals from a previous study [ 29].

Nuclear microsatellite genotypes were obtained at eight loci for 370 individuals (Table 1; Appendix A).

Microsatellite genotypes were tested for departures from Hardy-Weinberg equilibrium and evidence for linkage disequilibrium using ARLEQUIN.

Low numbers of microsatellite genotypes were obtained from East Australia, which had downstream analysis implications.