No abstract

Scrophulariaceae is one of the families that has been divided extensively due to the results of DNA sequence studies. One of its segregates is a vastly enlarged Plantaginaceae. In a phylogenetic study of 47 members of Plantaginaceae and seven outgroups based on 3561 aligned characters from four DNA regions (the nuclear ribosomal ITS region and the plastid trnL-F, rps16 intron, and matK-trnK intron regions), the relationships within this clade were analyzed. The results from parsimony and Bayesian analyses support the removal of the Lindernieae from Gratioleae to a position outside Plantaginaceae. A group of mainly New World genera is paraphyletic with respect to a clade of Old World genera. Among the New World taxa, those offering oil as a pollinator reward cluster together. Ourisia is sister to this clade. Gratioleae consist of Gratiola, Otacanthus, Bacopa, Stemodia, Scoparia, and Mecardonia. Cheloneae plus Russelia and Tetranema together constitute the sister group to a clade predominantly composed of Old World taxa. Among the Old World clade, Ellisiophyllum and Lafuentea have been analyzed for the first time in a molecular phylogenetic analysis. The former genus is sister to Sibthorpia and the latter is surprisingly the sister to Antirrhineae.

The amplified fragment length polymorphism (AFLP) technique is an increasingly popular component of the phylogenetic toolbox, particularly for plant species. Technological advances in capillary electrophoresis now allow very precise estimates of DNA fragment mobility and amplitude, and current AFLP software allows greater control of data scoring and the production of the binary character matrix. However, for AFLP to become a useful modern tool for large data sets, improvements to automated scoring are required. We design a procedure that can be used to optimize AFLP scoring parameters to improve phylogenetic resolution and demonstrate it for two AFLP scoring programs (GeneMapper and GeneMarker). In general, we found that there was a trade-off between getting more characters of lower quality and fewer characters of high quality. Conservative settings that gave the least error did not give the best phylogenetic resolution, as too many useful characters were discarded. For example, in GeneMapper, we found that bin width was a crucial parameter, and that although reducing bin width from 1.0 to 0.5 base pairs increased the error rate, it nevertheless improved resolution due to the increased number of informative characters. For our 30-taxon data sets, moving from default to optimized parameter settings gave between 3 and 11 extra internal edges with >50% bootstrap support, in the best case increasing the number of resolved edges from 14 to 25 out of a possible 27. Nevertheless, improvements to current AFLP software packages are needed to (1) make use of replicate profiles to calibrate the data and perform error calculations and (2) perform tests to optimize scoring parameters in a rigorous and automated way. This is true not only when AFLP data are used for phylogenetics, but also for other applications, including linkage mapping and population genetics.