Data from: Selection towards different adaptive optima drove the early diversification of locomotor phenotypes in the radiation of Neotropical geophagine cichlids
Astudillo-Clavijo, Viviana, University of Toronto
Arbour, Jessica H., University of Toronto
López-Fernández, Hernán, University of Toronto
Published May 06, 2015 on Dryad.
Cite this dataset
Astudillo-Clavijo, Viviana; Arbour, Jessica H.; López-Fernández, Hernán (2015). Data from: Selection towards different adaptive optima drove the early diversification of locomotor phenotypes in the radiation of Neotropical geophagine cichlids [Dataset]. Dryad. https://doi.org/10.5061/dryad.vm263
Background: Simpson envisaged a conceptual model of adaptive radiation in which lineages diversify into "adaptive zones" within a broad adaptive landscape. However only a handful of studies have actually investigated the adaptive landscape and its implication for our interpretation of the underlying mechanisms of phenotypic evolution. In fishes the evolution of locomotor phenotypes may represent an important dimension of ecomorphological diversification during an adaptive radiation given its implications for feeding and habitat use. Neotropical geophagine cichlids represent a newly identified adaptive radiation and provide a useful system for studying patterns of locomotor diversification and the implications of selective constraints on phenotypic divergence in general. Results: We use multivariate ordination models of phenotypic evolution and posterior predictive approaches to investigate the adaptive landscape and test for evidence of early diversification of locomotor phenotypes in Geophagini. The evolution of locomotor phenotypes was characterized by divergent selection towards two distinct adaptive peaks and the early divergence of modern morphological disparity. Evolutionary models and posterior predictive approaches favoured constant-rate divergent selection over decreasing rates of phenotypic evolution as the underlying process driving the early divergence of locomotor phenotypes. Conclusions: The influence of multiple adaptive peaks on the divergence of locomotor attributes in Geophagini is compatible with the expectations of an ecologically-driven adaptive radiation. This study confirms that the diversification of locomotor morphology represents an important dimension of phenotypic evolution in the geophagine adaptive radiation. It also suggests that the commonly observed early burst of phenotypic evolution during adaptive radiations is best explained by a model that incorporates divergent selection deep in the phylogeny.
Astudillo-Clavijo et al. Geophagini_MCC_tree
This file contains a Newick-formatted Maximum Clade Credibility tree for the Neotropical cichlid tribe Geophagini. The tree has been pruned to include only those species used in the study and scaled to a total length of 1 to account for uncertainty in absolute ages. The file is readable in R Statistical Software and formatted for analyses with the R packages used in the study.
Astudillo-Clavijo et al. Geophagini_1000_trees
This file contains 1000 Newik-formatted chronograms for the Neotropical cichlid tribe Geophagini. Trees have been pruned to include only those species used in the study and have been scaled to a total length of 1 to account for uncertainty in absolute ages. The files is readable in R Statistical Software and has been formatted for analyses with R packages used in the study.
Astudillo-Clavijo et al. Geophagini body size data
This file contains the log-transformed body size (measured as standard length) data for Geophagine cichlid species used in the study. Species names have been formatted to match those in the MCC tree and 1000 trees (provided here) to conduct body-size corrections of morphometric variables (provided here).
Astudillo-Clavijo et al. Geophagini swimming morphometric variables
This file contains the log-transformed swimming morphometric data for Geophagine cichlid species used in the study. Species names have been formatted to match those in the MCC tree and 1000 trees (provided here) for body-size correction and comparative analyses using the R packages noted in the study.