Taxon · 2016 · 14 citations · 62 references
Life SciencesBiologyPlant SciencesPhylogeneticsSpeciationSystematicsBayesian PhylogeneticsMaximum Likelihood PhylogeneticsPhylogenetic AnalysisPhylogenetic InferencePhylogenetic Tree ReconstructionPlant PhylogenyBootstrap Under Bayesian PhylogeneticsMaximum Likelihood InferenceMaximum ParsimonyMaximum Parsimony InferencePhylogenetic Species DelimitationPhylogenetic Support AssessmentProposed New CombinationsTaxonomic Delimitation
Abstract We provide a molecular phylogenetic analysis of the Laelia alliance based on sampling of 20 of an estimated 24 species, and seven plastid regions plus nrITS 1 & 2 analyzed using maximum parsimony, maximum likelihood, and Bayesian inference. Furthermore, we used coded indels to evaluate their effect on the phylogenetic relationships and/or support values (bootstrap and posterior probabilities). Our results confirm the existence of two clades, the long known Laelia (endemic to México at middle to high elevations) and Schomburgkia (a more widely distributed taxon). Both clades were strongly supported by PP values and moderate BS; thus, we preferred to recognize them as separate genera with a reappraised morphology and taxonomic delimitation. The inclusion of coded indels in the analyses was of great utility; we could identify the probable hybrid origin of L. gouldiana and L. halbingeriana. We propose new combinations to accommodate the taxonomic changes resulting from our study. We transfer L. anceps subsp. anceps, L. anceps subsp. dawsonii, L. aurea, L. mottae, and L. rubescens to Schomburgkia, with the second taxon elevated to species level; the molecular evidence together with previous published work on the morphology, phenology and geography of the group support these decisions. Lastly, the recently described genus Encabarcenia is considered as a synonym of Schomburgkia and, as a result, a new combination is proposed.
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MUSCLE: multiple sequence alignment with high accuracy and high throughput
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CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP
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Natural Sciences, Behavioral Sciences, Bayesian Biostatistics +11