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Accurate gene diversity estimates from amplified fragment length polymorphism (AFLP) markers
1Botanic Gardens and Parks Authority, Kings Park and Botanic Garden, West Perth, W.A. 6005, Australia. skrauss@kpbg.wa.gov.au
Molecular Ecology
|September 6, 2000
Summary
Estimating null allele frequencies and gene diversity in Persoonia mollis using amplified fragment length polymorphism (AFLP) data yielded similar results across three methods. Highly polymorphic dominant markers minimize bias in heterozygosity estimates for outcrossing plants.
Area of Science:
- Population Genetics
- Molecular Ecology
Background:
- Estimating null allele frequencies and gene diversity is crucial for understanding population structure.
- Dominant markers like AFLP present challenges for accurate genetic diversity estimation.
Purpose of the Study:
- To empirically test three procedures for estimating null allele frequencies and gene diversity from dominant multilocus data.
- To assess the accuracy of these methods in natural populations of Persoonia mollis.
Main Methods:
- Amplified Fragment Length Polymorphism (AFLP) markers were used to genotype 116 polymorphic loci.
- Genotypes were inferred from segregation patterns in progeny arrays.
- Three estimation procedures were compared: square root transform, Lynch & Milligan, and Bayesian methods.
Main Results:
- All three procedures produced similar mean estimates of heterozygosity, accurately reflecting direct values (HO = 0.28).
- A second population showed lower heterozygosity (HO = 0.20) but more polymorphic loci (284).
- Biases in null allele frequency and heterozygosity estimates were minimal with highly polymorphic dominant markers and a J-shaped distribution.
Conclusions:
- Highly polymorphic dominant marker data, particularly with a J-shaped distribution, can effectively eliminate biases in genetic diversity estimates.
- This approach may be broadly applicable to other outcrossing angiosperms.
