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      Evolutionary transitions from camouflage to aposematism: Hidden signals play a pivotal role

      1 , 2 , 3 , 1
      Science
      American Association for the Advancement of Science (AAAS)

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          Abstract

          The initial evolution of warning signals in unprofitable prey, termed aposematism, is often seen as a paradox because any new conspicuous mutant would be easier to detect than its cryptic conspecifics and not readily recognized by naïve predators as defended. One possibility is that permanent aposematism first evolved through species using hidden warning signals, which are only exposed to would-be predators on encounter. Here, we present a large-scale analysis of evolutionary transitions in amphibian antipredation coloration and demonstrate that the evolutionary transition from camouflage to aposematism is rarely direct but tends to involve an intermediary stage, namely cryptic species that facultatively reveal conspicuous coloration. Accounting for this intermediate step can resolve the paradox and thereby advance our understanding of the evolution of aposematism.

          Abstract

          Warning signs

          Using bright coloration to warn predators off of toxic prey, or aposematism, presents a conundrum in evolution. How do brightly colored organisms survive long enough to warn predators when they are easier to predate than their cryptic peers? Loeffler-Henry et al . used a large phylogeny of amphibians with known warning coloration to assess how such displays evolve. After comparing a series of models, they determined that aposematism likely appears through intermediate steps in which coloration is only visible when an organism is fleeing or intentionally displaying a hidden feature. This work demonstrates how the cost of such a trait may be circumvented through intermediary phenotypes. —CNS

          Abstract

          Conditionally visible coloration in amphibians may be an important step in the evolution of warning coloration.

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          ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

          After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
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            phytools: an R package for phylogenetic comparative biology (and other things)

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              Is Open Access

              phangorn: phylogenetic analysis in R

              Summary: phangorn is a package for phylogenetic reconstruction and analysis in the R language. Previously it was only possible to estimate phylogenetic trees with distance methods in R. phangorn, now offers the possibility of reconstructing phylogenies with distance based methods, maximum parsimony or maximum likelihood (ML) and performing Hadamard conjugation. Extending the general ML framework, this package provides the possibility of estimating mixture and partition models. Furthermore, phangorn offers several functions for comparing trees, phylogenetic models or splits, simulating character data and performing congruence analyses. Availability: phangorn can be obtained through the CRAN homepage http://cran.r-project.org/web/packages/phangorn/index.html. phangorn is licensed under GPL 2. Contact: klaus.kschliep@snv.jussieu.fr Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
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                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                March 17 2023
                March 17 2023
                : 379
                : 6637
                : 1136-1140
                Affiliations
                [1 ]Department of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada.
                [2 ]Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, South Korea.
                [3 ]Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, South Korea.
                Article
                10.1126/science.ade5156
                36927015
                3f46546b-1123-41a7-a5d7-25ca5667172c
                © 2023
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