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      ???The genus Orionis Shaw (Hymenoptera, Braconidae, Euphorinae) in the Old World

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          Abstract

          Journal of Hymenoptera Research, 88, 133-145

          Abstract

          The euphorine braconid genus Shaw, 1987 is found to be more diverse in the Old World than had previously been recognised. was regarded previously as largely Neotropical, with one Oriental species ( Shimbori & Shaw, 2016) known from Thailand, but we recognise an additional three species from the Oriental and Palaearctic regions. Three species of Euphorinae are transferred to Shaw, 1987 and are new combinations: (Belokobylskij, 1995), , (Chen & van Achterberg, 1997), , and (Belokobylskij, 2000), Previously known from the Far Eastern Palaearctic, has surprisingly been found in Europe, in Belgium, England and the Netherlands. The inclusion of these species in , whereas most previous species have been described from the Neotropics, is justified by Bayesian analysis of the D2 region of 28S, Cytochrome Oxidase I barcode sequences, and morphology.

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          MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

          Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has improved convergence for many problems. The new version also sports significantly faster likelihood calculations through streaming single-instruction-multiple-data extensions (SSE) and support of the BEAGLE library, allowing likelihood calculations to be delegated to graphics processing units (GPUs) on compatible hardware. Speedup factors range from around 2 with SSE code to more than 50 with BEAGLE for codon problems. Checkpointing across all models allows long runs to be completed even when an analysis is prematurely terminated. New models include relaxed clocks, dating, model averaging across time-reversible substitution models, and support for hard, negative, and partial (backbone) tree constraints. Inference of species trees from gene trees is supported by full incorporation of the Bayesian estimation of species trees (BEST) algorithms. Marginal model likelihoods for Bayes factor tests can be estimated accurately across the entire model space using the stepping stone method. The new version provides more output options than previously, including samples of ancestral states, site rates, site d N /d S rations, branch rates, and node dates. A wide range of statistics on tree parameters can also be output for visualization in FigTree and compatible software.
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            Creating the CIPRES Science Gateway for inference of large phylogenetic trees

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              DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.

              M Beier (1966)
              We describe "universal" DNA primers for polymerase chain reaction (PCR) amplification of a 710-bp fragment of the mitochondrial cytochrome c oxidase subunit I gene (COI) from 11 invertebrate phyla: Echinodermata, Mollusca, Annelida, Pogonophora, Arthropoda, Nemertinea, Echiura, Sipuncula, Platyhelminthes, Tardigrada, and Coelenterata, as well as the putative phylum Vestimentifera. Preliminary comparisons revealed that these COI primers generate informative sequences for phylogenetic analyses at the species and higher taxonomic levels.
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                Author and article information

                Journal
                Pensoft Publishers
                2021
                30 December 2021
                30 December 2021
                Author information
                https://orcid.org/0000-0001-7223-5333
                Article
                10.3897/jhr.88.76177
                d658a7ef-0242-4421-997e-1d0cf95ceaef

                Creative Commons Attribution 4.0 International

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