Proceedings of the Royal Society B Biological Sciences · 2018 · 50 citations · 56 references
Life SciencesBiologyZoologyCoevolutionEvolutionary EcologyInvertebrate ZoologyChemical MimicryCoevolution Of DefenseDefense EvolutionDefensive BehaviorMolluscan BiologyMolluscan ZoologyBatesian Chemical MimicryMimicry EvolutionMimicry Of Chemical CuesMimicry RingsMüllerian Chemical MimicryPhylogenetic ReconstructionPhylogenetic Reconstruction ModelsVisual Signals
Mimicry of warning signals is common, and can be mutualistic when mimetic species harbour equal levels of defence (Müllerian), or parasitic when mimics are undefended but still gain protection from their resemblance to the model (Batesian). However, whether chemically defended mimics should be similar in terms of toxicity (i.e. causing damage to the consumer) and/or unpalatability (i.e. distasteful to consumer) is unclear and in many studies remains undifferentiated. In this study, we investigated the evolution of visual signals and chemical defences in a putative mimicry ring of nudibranch molluscs. First, we demonstrated that the appearance of a group of red spotted nudibranchs molluscs was similar from the perspective of potential fish predators using visual modelling and pattern analysis. Second, using phylogenetic reconstruction, we demonstrated that this colour pattern has evolved multiple times in distantly related individuals. Third, we showed that these nudibranchs contained different chemical profiles used for defensive purposes. Finally, we demonstrated that although levels of distastefulness towards Palaemon shrimp remained relatively constant between species, toxicity levels towards brine shrimp varied significantly. We highlight the need to disentangle toxicity and taste when considering chemical defences in aposematic and mimetic species, and discuss the implications for aposematic and mimicry signal evolution.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
ModelFinder: fast model selection for accurate phylogenetic estimates
Subha Kalyaanamoorthy, Bùi Quang Minh, Thomas K. F. Wong et al. · Nature Methods · 2017 · 18.8K citations