GENETIC VARIABILITY AND DIFFERENTIATION ... - ePrints@USM

LIST OF TABLES
Table 2.1 Methods available for genetically characterizing
individuals and populations and their applicability to each
issue. Techniques with + can be used for the purpose
specified, with several + indicating the technique has high
utility, ? are cases where the technique is useful in only
some cases, while – indicates that the technique is not
useful in this context (Adapted from Frankham et al.,
2002).
Table 2.2 Some commonly applied molecular marker systems to
detect differences among closely related populations
(Adapted from O’Connell and Wright, 1997).
Table 3.1 Sampling site, sample type, sample size and date of
capture of Lates calcarifer.
Table 3.2 List of 13 microsatellite loci used in this study. 35
Table 3.3 Solutions and concentration used for the preparation of 6
% non-denaturing polyacrylmide gel.
Table 4.1 Summary of annealing temperature (Tm), concentration of
MgCl2, size range (bp) of the alleles and number of alleles
for each locus screened.
Table 4.2 Detection of null allele, stutter bands and the probability
(P) of deviations from Hardy-Weinberg Equilibrium in
each locus for each population.
Table 4.3 Allelic variability at ten microsatellite loci in Lates
calcarifer.
Table 4.4 Pairwise FST values for Asian sea bass feral and cultured
populations sampled in Malaysia.
Table 4.5 Proportion of membership (Q) of each L. calcarifer
population in each of the five genetic clusters which
identified by STRUCTURE. The major proportion
membership of cluster in a population was indicated with
bold values.
Table 4.6 The table gives the probability that the observed
heterozygosity is larger than the average hetrozygosity
calculated by BOTTLENECK program under the Infinite
allele model (IAM), Stepwise mutation model, (SMM)
and Two-phase model, TPM (95% Single-step mutations,
5% Multiple-step mutations) and allele frequencies
distribution mode for each population.
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