Genetic composition and differentiation of sloe (Prunus spinosa L.) populations in Germany with respect to the tracing of reproductive plant material

Abstract

Sloe (Prunus spinosa L.) is a shrub native to Europe. In Germany, 50-80 % of all planted sloe is imported. Little is known about the genetic diversity patterns within and between German sloe populations. Thus, a debate arose how to avoid risks for nature and landscape by planting potentially maladapted material. The main objectives of our study are to analyse the genetic differentiation pattern of sloe populations in Germany, to identify geographic/genetic structures and to evaluate their potential for tracing reproductive material. 17 natural populations from Germany and 1 from Italy and Hungary were investigated by Amplified Fragment Length Polymorphisms (AFLP) and PCR-RFLP techniques. The AMOVA analyses based on AFLPs for all populations and for the German populations only result in equally high differentiation values of I broken vertical bar(PT) = 15 % of molecular variance between populations. The analysis of cpDNA PCR-RFLPs resulted in 24 haplotypes with 30 % showing genetic variation between populations. Overall values of genetic variability over all loci and populations are: Na = 0.832, Ne = 1.114 and He = 0.072. Mantel tests for AFLPs and cpDNA haplotypes reveal no association between geographic and genetic distances between populations as a result of a lack of differentiation between German populations and those from southern and southeastern Europe. Weak geographic/genetic patterns were observed on a large scale. However, these concern the German populations only. Our results indicate that vegetative regeneration in combination with founder effects may influence the level of differentiation between populations. Populations with a large amount of vegetative propagation are more differentiated from other populations than those populations which exhibit less vegetative regeneration. The assignment of reproductive material (i.e. plant material) to potential source populations resulted in high values of correct allocations. Hence, such methods can be applied to trace reproductive material of unknown origin.