AFLP-based population structure analysis as a means to validate the complex taxonomy of dogroses (Rosa section Caninae).

Within the genus Rosa numerous species have been described. Circumscription of the dogrose section Caninae is straightforward, but the delineation of species and subsections within this section is less clear, partly due to hybridisation between species. We have investigated the extent to which DNA marker-based information of wild populations corroborates present-day dogrose taxonomy and hypotheses about the origination of taxa. Sampling was conducted in a transect across Europe, collecting over 900 specimens of all encountered dogrose taxa. For comparison, we also included more than 200 samples of species belonging to other sections. Two lines of statistical analyses were used to investigate the genetic structure based on AFLP data: (1) an unstructured model with principal coordinate analysis and hierarchical clustering, and (2) a model with a superimposed taxonomic structure based on analysis of genetic diversity using a novel approach combining assignment tests with canonical discriminant analysis. Support was found for five of the seven subsections, whereas R. balsamica apparently belongs to subsection Caninae thus omitting the need for recognising subsection Tomentellae. For R. stylosa, a hybridogenic origin with a non-dogrose section member has been suggested, and it can be treated either as a separate subsection or within subsection Caninae. Within the subsection Rubigineae, a species cluster with low support for the taxa R. micrantha, R. rubiginosa and the putatively hybridogenous R. gremlii was identified. Similarly, several species in the subsection Caninae overlapped considerably, and are best regarded as one common species complex. This population genetic approach provides a general method to validate the taxonomic system in complex and polyploid taxa.

Morphological and AFLP-based differentiation within the taxonomical complex section Caninae (subgenus Rosa).

BACKGROUND AND AIMS: The taxonomical structure of the polymorphic subgenus Rosa section Caninae is highly complex due to the combination of some unusual features: the unique polyploid chromosomal constitution, the heterogamic canina meiosis, the ability to hybridize interspecifically, and the predominantly matroclinal inheritance. Although most taxonomists agree on the subdivision of the section into three morphologically well-defined groups (Rubigineae, Vestitae, and Caninae), they disagree on the existence of smaller groups such as Tomentellae. The aim was to gain insight in the taxonomical structure and investigate the interpopulation differentiation of the polymorphic section Caninae by analysing morphological and AFLP-based characters of the seven most common Belgian dog-rose taxa. METHODS: The intersubsectional and -specific relationships within the dog-roses were examined using morphological and molecular-genetic markers. AFLP data were analysed with basic descriptive genetic statistics because of the lack of Hardy-Weinberg equilibrium due to the polyploid genetic structure and heterogamic meiosis. KEY RESULTS: Both the morphological and AFLP-based analyses supported the subdivision of the dog-roses in three well-defined though partly overlapping groups, Rubigineae, Vestitae and Caninae. However, it was not possible to distinguish between the morphologically well-defined taxa within the same subsection using AFLP-based data. In addition, the results suggested a high similarity of Rosa balsamica with subsection Caninae taxa. Small-scale geographical AFLP-based differentiation was observed within several dog-rose taxa. Surprisingly, individuals sampled at one locality and belonging to morphologically distinct dog-rose taxa displayed higher genetic similarities in comparison to their congeners sampled at different localities. CONCLUSIONS: The hybridogenic character of the dog-roses was reflected in the vague boundaries between the subsections and on the species level within the subsections. Indications were found for current or historical hybridization on the genetic structure of the population. No morphological or AFLP-based evidence was obtained to support the existence of the separate subsection Tomentellae.

AFLP markers as a tool to reconstruct complex relationships: A case study in Rosa (Rosaceae).

The genus Rosa has a complex evolutionary history caused by several factors, often in conjunction: extensive hybridization, recent radiation, incomplete lineage sorting, and multiple events of polyploidy. We examined the applicability of AFLP markers for reconstructing (species) relationships in Rosa, using UPGMA clustering, Wagner parsimony, and Bayesian inference. All trees were well resolved, but many of the deeper branches were weakly supported. The cluster analysis showed that the rose cultivars can be separated into a European and an Oriental cluster, each being related to different wild species. The phylogenetic analyses showed that (1) two of the four subgenera (Hulthemia and Platyrhodon) do not deserve subgeneric status; (2) section Carolinae should be merged with sect. Cinnamomeae; (3) subsection Rubigineae is a monophyletic group within sect. Caninae, making sect. Caninae paraphyletic; and (4) there is little support for the distinction of the five other subsections within sect. Caninae. Comparison of the trees with morphological classifications and with previous molecular studies showed that all methods yielded reliable trees. Bayesian inference proved to be a useful alternative to parsimony analysis of AFLP data. Because of their genome-wide sampling, AFLPs are the markers of choice to reconstruct (species) relationships in evolutionary complex groups.

A general method for the computation of probabilities in systems of first order chemical reactions.

We present a general method for the computation of molecular population distributions in a system of first-order chemical reactions. The method is based on the observation that the molecules in first-order reactions do not interact with each other. Therefore, the population distributions are a convolution of densities for one molecule. With this method one can study reactions involving any number of molecules. Such analysis is demonstrated on several examples, including an enzyme catalyst reaction and a first-order reaction chain.