In this study, we used an empirical example based on 100 mitochondrial genomes from higher teleost fishes to compare the accuracy of parsimony-based jackknife values with Bayesian support values. Phylogenetic analyses of 366 partitions, using differential taxon and character sampling from the entire data matrix of 100 taxa and 7,990 characters, were performed for both phylogenetic methods. The tree topology and branch-support values from each partition were compared with the tree inferred from all taxa and characters. Using this approach, we quantified the accuracy of the branch-support values assigned by the jackknife and Bayesian methods, with respect to each of 15 basal clades. In comparing the jackknife and Bayesian methods, we found that (1) both measures of support differ significantly from an ideal support index; (2) the jackknife underestimated support values; (3) the Bayesian method consistently overestimated support; (4) the magnitude by which Bayesian values overestimate support exceeds the magnitude by which the jackknife underestimates support; and (5) both methods performed poorly when taxon sampling was increased and character sampling was not increases. These results indicate that (1) the higher Bayesian support values are inappropriate (in magnitude), and (2) Bayesian support values should not be interpreted as probabilities that clades are correctly resolved. We advocate the continued use of the relatively conservative bootstrap and jackknife approaches to estimating branch support rather than the more extreme overestimates provided by the Markov Chain Monte Carlo-based Bayesian methods.

No abstract

The only previous comprehensive phylogenetic analysis of the 22 species of the genus Vespa was based on just 11 morphological characters and resulted in only limited resolution. In order to improve the phylogenetic inference, we carried out a simultaneous analysis with 45 morphological characters and data from four mitochondrial and two nuclear genes. The results support a number of the previously found relationships. The monophyly of the genus Vespa and the existence of a main clade excluding V. basalis and V. binghami are confirmed. The tropica group is supported. The affinis group is not supported; molecular data relate the previously unresolved V. orientalis to V. affinis + V. mocsaryana

The phylogeny of the paper wasp genus Polistes is investigated using morphological and behavioural characters, as well as molecular data from six genes (COI, 12S, 16S, 28S, H3, and EF1‐α). The results are used to investigate the following evolutionary hypotheses about the genus: (i) that Polistes first evolved in Southeast Asia, (ii) that dispersal to the New World occurred only once, and (iii) that long‐term monogyny evolved as an adaptation to overwintering in a temperate climate. Optimization of distribution records on the recovered tree does not allow unambiguous reconstruction of the ancestral area of Polistes. While the results indicate that Polistes dispersed into the New World from Asia, South America is recovered as the ancestral area for all New World Polistes: Nearctic species groups evolved multiple times from this South American stock. The final tree topology suggests strongly that the genus first arose in a tropical environment, refuting the idea of monogyny as an overwintering adaptation.

Given the quantity of molecular data now available, including complete genomes for some organisms, one can ask whether there is a need for any data beyond complete genomic sequences for phylogenetic analysis. One reason to look beyond the genome is that not all character information is encoded in organismal genomes. We propose a hierarchy of characters that ranges from biologically transmitted but nongenomically encoded characters, such as bird songs, to characters that are genomically encoded. All of these characters can retain historical information and are potentially useful for phylogenetic analysis. In addition, a number of phenotypic levels that are expressions of the genome can be identified. The question whether it is worth including any of these levels if all of the underlying sequence data have been collected arises, since issues of redundancy occur. Utilization of phenotypic levels that are ultimately based on sequences may facilitate reconstructing homologies that are not evident from sequence data alone. We propose the use of simultaneous analysis of sequence data and as many levels of phenotypic characters as possible to take advantage of homology information that may be more easily recovered from the latter. A method that eliminates redundancy to the degree that it can be detected is proposed.