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However, nearly all of the molecular variance was attributed to differences in 'within-site' variation detected for both test statistics.
A nested AMOVA of the resulting populations indicated that 18% of molecular variance was partitioned between habitats (ΦHAB-TOT = 0.187; p<0.001), as opposed to 5% between locations (ΦLOC-HAB = 0.066 p<0.0011).
Molecular variance was therefore assigned among and within populations only.
Spatial analysis of molecular variance was performed using SAMOVA 1.0 to identify population groups [ 57].
A large fraction of the molecular variance was due to differences between aquacultured and ornamental carps.
AMOVA (Analysis of Molecular Variance) was performed using the program implemented in ARLEQUIN.
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Principal coordinates analysis (PCA) and analysis of molecular variance were also performed in GenAlEx.
The AMOVA (Analysis of Molecular Variance) indicates a high level of genetic structuring in this coral species (22% of the total molecular variance is partitioned among populations; based on the Infinite Allele Model, p<0.0001), suggesting that most recruitment is highly localised.
The statistical significance of Fst and the partitioned molecular variance were evaluated by performing 10,000 random data permutations [ 29].
All hierarchical analysis of molecular variance results (Table 1) suggest that the majority of molecular variance is best explained at the individual level, typically 76 78%.
The highest proportion of the molecular variance (41.2%) was explained by the variations between sites within each IRS while 32.8% is explained by the river (the remaining 26.0% of the molecular variance is explained by the variation within sites).
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