title: Using heterochrony plots to detect the dissociated coevolution of characters.
abstract: The comparison of developmental sequences among species is notoriously difficult. Here, heterochrony plots are introduced as a new graphic method to detect temporal shifts in the development of characters in pair-wise species comparisons. Plotting the timing of character development in one species against the timing of character development in another species allows us to compare a principally unlimited number of characters simultaneously and can detect whether suites of characters are dissociated from one another or not. Such heterochrony plots can be embedded into a comparative phylogenetic analysis in order to establish whether observed patterns of character codissociation are indeed due to their dissociated coevolution. Comparative phylogenetic analysis may also reveal multiple independent events of dissociated coevolution of the same suite of characters in a certain lineage, suggesting that the characters of this suite reciprocally constrain their evolutionary modifiability, thereby forming a unit of evolution. This ability to identify units of evolution is a prerequisite for assessing the validity of recently proposed scenarios, suggesting that modules of development and/or function tend to act as units of evolution. Starting from a detailed heterochrony plot comparing development in the direct developing frog Eleutherodactylus coqui and in the biphasically developing frog Discoglossus pictus, this comparative approach is illustrated focusing on the evolution of development of limbs, the nervous system and the pharyngeal arches in amphibians.
authors.affiliation: Brain Research Institute, University of Bremen, 28334 Bremen, Germany. gschloss@uni-bremen.de
authors.forename: G
authors.initials: G
authors.lastname: Schlosser
mesh_terms: D000663:Amphibians / Q000033:anatomy & histology* / Q000254:growth & development; D000818:Animals; D005075:Biological Evolution; D005121:Extremities / Q000033:anatomy & histology / Q000254:growth & development; D008954:Models, Biological; D015233:Models, Statistical; D010802:Phylogeny