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      Plant bugs with swollen antennae: a morphology-based phylogenetic analysis of Heterocapillus Wagner, 1960 and related genera (Hemiptera: Miridae: Phylinae)

      Arthropod Systematics & Phylogeny
      Pensoft Publishers

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          Abstract

          Plant bugs of the genus Heterocapillus (Miridae: Phylinae) are predominantly Mediterranean minute black phylines with distinctly swollen antennomeres I and II. The monophyly and relationships of this group has been questioned in several studies. This paper provides a morphology-based phylogeny inferred with Parsimony and Bayesian analyses of the genus and a diverse array of outgroups. Based on these results, Heterocapillus is here redefined as monotypic. A new monotypic genus Abietocapsus gen. nov. is erected to accommodate Phoenicocoris dissimilis (Reuter, 1878) and updated diagnoses are provided for the genera Lobicris Putshkov, 1977 gen. dist., Mesopsallus Wagner, 1970 gen. dist., and Salicarus Kerzhner, 1962. The following new combinations are established: Campylomma atlanticum (Wagner, 1963) comb. nov., Campylomma pusillum (Reuter, 1878) comb. nov., Mesopsallus amygdali (Wagner, 1960) comb. nov., Mesopsallus fagi (Drapolyuk, 1990) comb. nov., Mesopsallus mali (Meyer-Dür, 1843) comb. nov., Mesopsallus pici (Reuter, 1899) comb. nov., Mesopsallus rhodani (Fieber, 1861) comb. nov., Mesopsallus validus (Reuter, 1901) comb. nov., Psallus (Phylidea) validicornis (Reuter, 1876) comb. nov., Salicarus cavinotum (Wagner, 1973) comb. nov., Salicarus genistae (Lindberg, 1948) comb. nov., Salicarus nitidus (Horváth, 1905) comb. nov., and Salicarus perpusillus (Wagner, 1960) comb. nov. Atractotomus schmiedeknechti Reuter, 1899 is synonymized with Atractotomus parvulus Reuter, 1878. Heterocapillus niger Wagner, 1966 is synonymized with Psallus (Phylidea) validicornis (Reuter, 1876). The highly homoplastic nature of the antennal shape in phylines is demonstrated, suggesting against using these features as diagnostic at the generic level.

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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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            A Likelihood Approach to Estimating Phylogeny from Discrete Morphological Character Data

            Paul Lewis (2001)
            Evolutionary biologists have adopted simple likelihood models for purposes of estimating ancestral states and evaluating character independence on specified phylogenies; however, for purposes of estimating phylogenies by using discrete morphological data, maximum parsimony remains the only option. This paper explores the possibility of using standard, well-behaved Markov models for estimating morphological phylogenies (including branch lengths) under the likelihood criterion. An important modification of standard Markov models involves making the likelihood conditional on characters being variable, because constant characters are absent in morphological data sets. Without this modification, branch lengths are often overestimated, resulting in potentially serious biases in tree topology selection. Several new avenues of research are opened by an explicitly model-based approach to phylogenetic analysis of discrete morphological data, including combined-data likelihood analyses (morphology + sequence data), likelihood ratio tests, and Bayesian analyses.
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              A Successive Approximations Approach to Character Weighting

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Arthropod Systematics & Phylogeny
                ASP
                Pensoft Publishers
                1864-8312
                1863-7221
                November 09 2023
                November 09 2023
                : 81
                : 845-879
                Article
                10.3897/asp.81.e104396
                916f29c5-5483-48f4-b962-ee4b40787340
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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