Sl. Krauss et R. Peakall, AN EVALUATION OF THE AFLP FINGERPRINTING TECHNIQUE FOR THE ANALYSIS OF PATERNITY IN NATURAL-POPULATIONS OF PERSOONIA-MOLLIS (PROTEACEAE), Australian Journal of Botany, 46(3-4), 1998, pp. 533-546
The accurate assignment of paternity in natural plant populations is r
equired to address important issues in evolutionary biology, such as t
he factors that affect reproductive success. Newly developed molecular
fingerprinting techniques offer the potential to address these aims.
Here, we evaluate the utility of a new PCR-based multi-locus fingerpri
nting technique called Amplified Fragment Length Polymorphism (AFLP) f
or paternity studies in Persoonia mollis (Proteaceae). AFLPs were init
ially scored for five individuals from three taxonomic levels for 64 p
rimer pairs: between species (P. mollis and P, levis), between subspec
ies (P. mollis subsp. nectens and subsp. livens), between individuals
within a single population of P. mollis, as well as for a naturally po
llinated seed from a single P. mollis subsp. nectens plant. Overall, 1
164 fragments (24.6% of all fragments) were polymorphic between specie
s, 743 (16.5%) between subspecies, 371 (8.6%) between individuals with
in a single population, and 265 (6.2%) between a plant and its seed. W
ithin a single P. mollis population of 14 plants, 42 polymorphic fragm
ents were scored from profiles generated by a single AFLP primer pair.
The mean frequency of the recessive allele (q) over these 42 loci was
0.773. Based on these observations, it will be feasible to generate w
ell over 100 polymorphic AFLP loci with as few as three AFLP primer pa
irs. This level of polymorphism is sufficient to assign paternity unam
biguously to more than 99% of all seed in experiments involving Small,
known paternity pools. More generally, the AFLP procedure is well sui
ted to molecular ecological studies, because it produces more polymorp
hism than allozymes or RAPDs but, unlike conventionally developed micr
osatellite loci, it requires no prior sequence knowledge and minimal d
evelopment time.