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      The search finds an end: the morphologically chimeric hysterocinetids belong to the subclass Hymenostomatia (Ciliophora: Oligohymenophorea)

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      Zoological Journal of the Linnean Society
      Oxford University Press (OUP)

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          Abstract

          The digestive tract of oligochaetes harbours a diverse ciliate community embracing plagiotomids, nyctotherids, astomes, and hysterocinetids. Although several hundred intestinal ciliate species are known, only two hysterocinetids have been reported from the intestine of Holarctic lumbricid earthworms hitherto. The present study is focused on the taxonomy, morphology, and molecular phylogeny of two lumbricid-dwelling taxa, the insufficiently known Protoptychostomum simplex and Hysterocineta bellerophon sp. nov., detected in Central Europe. Diagnoses of the genera Protoptychostomum and Hysterocineta were improved taking into account also features of the oral ciliature for the first time. In the past, the proper classification of hysterocinetids in the class Oligohymenophorea was hampered by the dramatic remodelling of the anterior body end into a thigmotactic sucker, as well as by the helicalization and transfer of the oral apparatus to the posterior body pole. The present phylogenetic analyses of nuclear and mitochondrial genes robustly reject the classification of hysterocinetids in subclass Scuticociliatia or as a distinct subclass, Hysterocinetia. However, hysterocinetids were consistently and robustly nested deep in subclass Hymenostomatia in a sister-position to the free-living Tetrahymena paravorax. The hymenostome affinity of hysterocinetids is also corroborated by the parakinetal stomatogenesis and the stichodyad paroral membrane accompanied by three regularly organized membranelles.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            NIH Image to ImageJ: 25 years of image analysis

            For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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              Is Open Access

              IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

              Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.

                Author and article information

                Journal
                Zoological Journal of the Linnean Society
                Oxford University Press (OUP)
                0024-4082
                1096-3642
                September 01 2023
                September 01 2023
                June 29 2023
                September 01 2023
                September 01 2023
                June 29 2023
                : 199
                : 1
                : 97-123
                Article
                10.1093/zoolinnean/zlad023
                aa512d46-0c12-4227-88b2-343342d2e98f
                © 2023

                https://academic.oup.com/pages/standard-publication-reuse-rights

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