J
Jacques Bitsch
Researcher at Paul Sabatier University
Publications - 23
Citations - 431
Jacques Bitsch is an academic researcher from Paul Sabatier University. The author has contributed to research in topics: Thermobia & Lepismatidae. The author has an hindex of 13, co-authored 23 publications receiving 420 citations.
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Journal ArticleDOI
Phylogenetic relationships of basal hexapods among the mandibulate arthropods: a cladistic analysis based on comparative morphological characters
Colette Bitsch,Jacques Bitsch +1 more
TL;DR: The results support the monophyly of the Mandibulata, Crustacea, Atelocerata (Tracheata) and Hexapoda, but the assemblage of Myriapoda appears poorly supported.
Book ChapterDOI
Evolution of eye structure and arthropod phylogeny
Colette Bitsch,Jacques Bitsch +1 more
Journal ArticleDOI
The endoskeletal structures in arthropods: cytology, morphology and evolution.
Colette Bitsch,Jacques Bitsch +1 more
TL;DR: An overview of the endoskeletal structures of the head and trunk in the different arthropod groups: Chelicerata, Crustacea, Myriapoda and Hexapoda is proposed and may be considered as a first step to use morphological characteristics of theendoskeleton in future cladistic analyses to assess the phylogeny of arthropods.
Journal ArticleDOI
Ecdysteroids in the haemolymph and the ovaries of the firebrat Thermobia domestica (Packard) (Insecta, Thysanura): Correlations with integumental and ovarian cycles
TL;DR: Ecdysteroids were analysed with radioimmunoassay (RIA) and high-performance liquid chromatography (HPLC) in females of the apterygotous insect Thermobia domestica, which has overlapping moulting and reproductive cycles, and HPLC analysis combined with RIA suggests that the main ecdysteroid is 20-hydroxyecdysone.
Journal ArticleDOI
The phylogenetic position of early hexapod lineages: morphological data contradict molecular data
TL;DR: It appears that in the present state of the analytical strategies, hypotheses concerning arthropod phylogenies obtained from morphological and developmental criteria and combined analyses involving molecular and morphological data provide more reliable results than those generated by molecular information alone.