In simultaneous analyses of multiple data partitions, the trees relevant when measuring support for a clade are the optimal tree, and the best tree lacking the clade (i.e., the most reasonable alternative). The parsimony-based method of partitioned branch support (PBS) "forces" each data set to arbitrate between the two relevant trees. This value is the amount each data set contributes to clade support in the combined analysis, and can be very different to support apparent in separate analyses. The approach used in PBS can also be employed in likelihood: a simultaneous analysis of all data retrieves the maximum likelihood tree, and the best tree without the clade of interest is also found. Each data set is fitted to the two trees and the log-likelihood difference calculated, giving "partitioned likelihood support" (PLS) for each data set. These calculations can be performed regardless of the complexity of the ML model adopted. The significance of PLS can be evaluated using a variety of resampling methods, such as the Kishino-Hasegawa test, the Shimodiara-Hasegawa test, or likelihood weights, although the appropriateness and assumptions of these tests remains debated.
The validity of the species category (rank) as a distinct level of biological organization has been questioned. Phenetic, cohesion and monophyletic species concepts do not delimit species-level taxa that are qualitatively distinct from lower or higher taxa: all organisms throughout the tree of life exhibit varying degrees of similarity, cohesion, and monophyly. In contrast, interbreeding concepts delimit species-level taxa characterized by a phenomenon (regular gene flow) not found in higher taxa, making the species category a distinct level of biological organization. Only interbreeding concepts delimit species-level taxa that are all comparable according to a biologically meaningful criterion and qualitatively distinct from entities assigned to other taxonomic categories. Consistent application of interbreeding concepts can result in counterintuitive taxonomies -e.g. many wide polytypic species in plants and narrow cryptic species in animals. However, far from being problematic, such differences are biologically illuminating -reflecting differing barriers to gene flow in different clades. Empirical problems with interbreeding concepts exist, but many of these also apply to other species concepts, whereas others are not as severe as some have argued. A monistic view of species using interbreeding concepts will encounter strong historical inertia, but can save the species category from redundancy with other categories, and thus justify continued recognition of the species category.
A combined analysis of nuclear, mitochondrial and morphological data robustly resolves snakes as the sister taxon to anguimorph ‘lizards’. Analysed in isolation, nuclear DNA (nDNA) produces a trichotomy between snakes, iguanians and anguimorphs, mitochondrial DNA (mtDNA) is largely uninformative at deeper levels, and morphology tends to nest snakes deep within anguimorphs or with various legless squamate groups. When analysed simultaneously, the nuclear signal is sufficiently strong that mtDNA and morphology are constrained to choose between alternative resolutions of the iguanian–anguimorph–snake trichotomy (generated by the nDNA) – and both support the snake–anguimorph solution. Combined analyses of fast‐evolving or idiosyncratically evolving markers (mtNDA, morphology) with conservative traits (e.g. nuclear genes) might be the best way to resolve ancient, closely spaced divergences. Fast or idiosyncratic markers potentially provide the most information about short, ancient internodes, but can converge on spurious trees if analysed in isolation. However, if constrained to only choosing between plausible trees, such data can contribute unique and valuable phylogenetic signal that resolves such problematic divergences.
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