scholarly journals Phylogenetic systematics and a revised generic classification of anthidiine bees (Hymenoptera: Megachilidae)

2016 ◽  
Vol 100 ◽  
pp. 183-198 ◽  
Author(s):  
Jessica R. Litman ◽  
Terry Griswold ◽  
Bryan N. Danforth
Keyword(s):  
Phylogenetic Systematics

Phylogeny and classification of aquatic bugs (Heteroptera, Nepomorpha). An essay review of Mahner's 'Systema Cryptoceratum Phylogeneticum'

1995 ◽  
Vol 26 (2) ◽  
pp. 159-166 ◽  
Author(s):  
Nils Møller Andersen
Keyword(s):  
Essay Review ◽  
Phylogenetic Systematics ◽  
Systematic Account ◽  
Major Work ◽  
Current Trends ◽  
Methodological Procedures ◽  
Aquatic Bugs

AbstractThis essay is essentially a review of the monographic work by the German zoologist Martin Mahner : 'Systema Cryptoceratum Phylogeneticum (Insecta, Heteroptera)' (Zoologica, Heft 143, Stuttgart 1993). The monograph is the most comprehensive systematic account of the aquatic bugs to date and the first major work on this group where the principles of phylogenetic (cladistic) systematics are consistently applied. Mahner follows the principles of the 'konsequentphylogenetische oder cladistischen Systematik', being Willi Hennig's phylogenetic systematics as interpreted and modified by Peter Ax. The methodological procedures recommended by this school of systematics is controversial, however, and call for a broader discussion of current trends in systematics as exemplified by the phylogeny and classification of the aquatic bugs.

Phylogenetic Systematics of Peccaries (Tayassuidae: Artiodactyla) and a Classification of South American Tayassuids

2016 ◽  
Vol 24 (3) ◽  
pp. 345-358 ◽  
Author(s):  
Rodrigo Parisi Dutra ◽  
Daniel de Melo Casali ◽  
Rafaela Velloso Missagia ◽  
Germán Mariano Gasparini ◽  
Fernando Araujo Perini ◽  
...  
Keyword(s):  
Phylogenetic Systematics ◽  
South American

scholarly journals Phylogenetic systematics of the genera of Thryptocerina Jeannel, 1949 and new species from New Caledonia (Coleoptera, Carabidae, Oodini)

ZooKeys ◽  
2021 ◽  
Vol 1044 ◽  
pp. 375-425 ◽  
Author(s):  
Kipling Will ◽  
Borislav Guéorguiev
Keyword(s):  
Phylogenetic Analysis ◽  
New Species ◽  
Reproductive Tract ◽  
New Caledonia ◽  
Female Reproductive Tract ◽  
Phylogenetic Systematics ◽  
Adult Morphology ◽  
Australian Species ◽  
Preliminary Study

The Oodini precinctive to New Caledonia are reviewed with nine species recognized, of which seven are newly described in two genera. Five species are described in the genus Coptocarpus Chaudoir: C. micropssp. nov., C. erwinisp. nov., C. amieuensissp. nov., C. magnussp. nov., and C. leschenisp. nov. In the genus Adelopomorpha Heller two species, A. tethyssp. nov. and A. tuberculatasp. nov., are described. In order to place cladistically the newly described species in a genus, a phylogenetic analysis of a matrix of 36 characters of adult morphology was conducted including exemplar species of three putative outgroup genera, six putative ingroup thryptocerine oodine genera, and all oodine species from New Caledonia. Results show support for Thryptocerina and monophyly of Adelopomorpha. Hoplolenus LaFerté-Sénectère is not monophyletic and Hoplolenus cyllodinus Fauvel is newly combined as Coptocarpus cyllodinuscomb. nov. New Caledonian species of Coptocarpus form a clade, but the Australian species of the genus included in the analysis are rendered paraphyletic by African and Malagasy genera. Implications of this preliminary study for the classification of Oodini and trends in the evolution of the female reproductive tract are discussed. A key to the New Caledonian species of Oodini is provided.

5. Species and classification

2019 ◽  
pp. 63-82
Author(s):  
Samir Okasha
Keyword(s):  
Evolutionary Biology ◽  
Species Concept ◽  
Biological Species ◽  
Theory And Practice ◽  
Biological Species Concept ◽  
Phylogenetic Systematics ◽  
Species Problem ◽  
Higher Taxa ◽  
Linnaean System

‘Species and classification’ first considers the species problem and the biological species concept. It then discusses phylogenetic systematics, which involves the organization of species into higher taxa. Classification in science raises a deep philosophical issue as all objects can in principle be classified in more than one way. Is there a ‘correct’ way to assign organisms to species, and species to higher taxa? Classification of organisms was traditionally done using the Linnaean system, which served biologists well for years, and elements of it are still used today. However, the rise of evolutionary biology has led to fundamental changes in both the theory and practice of biological classification.

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

Ultrastructure of mesotheliomas

1984 ◽  
Vol 42 ◽  
pp. 98-101
Author(s):  
Irving Dardick
Keyword(s):  
Electron Microscopy ◽  
Latent Period ◽  
Spindle Cell ◽  
Spindle Cell Sarcoma ◽  
Metastatic Adenocarcinoma ◽  
Cell Sarcoma ◽  
Cytological Features ◽  
Industrial Use ◽  
Degree Of Differentiation

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

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