Adam R. Smith , Melissa R. Proffitt , Winnie W. Ho , Claire B. Mullaney , Javier A. Maldonado-Ocampo , Nathan R. Lovejoy , José A. Alves-Gomes , G. Troy Smith
{"title":"南美鬼刀鱼(裸子目:无尾鱼科)电子通信信号的进化:基于序列系统发育的系统发育比较研究","authors":"Adam R. Smith , Melissa R. Proffitt , Winnie W. Ho , Claire B. Mullaney , Javier A. Maldonado-Ocampo , Nathan R. Lovejoy , José A. Alves-Gomes , G. Troy Smith","doi":"10.1016/j.jphysparis.2016.10.002","DOIUrl":null,"url":null,"abstract":"<div><p>The electric communication signals of weakly electric ghost knifefishes (Gymnotiformes: Apteronotidae) provide a valuable model system for understanding the evolution and physiology of behavior. Apteronotids produce continuous wave-type electric organ discharges (EODs) that are used for electrolocation and communication. The frequency and waveform of EODs, as well as the structure of transient EOD modulations (chirps), vary substantially across species. Understanding how these signals have evolved, however, has been hampered by the lack of a well-supported phylogeny for this family. We constructed a molecular phylogeny for the Apteronotidae by using sequence data from three genes (cytochrome c oxidase subunit 1, recombination activating gene 2, and cytochrome oxidase B) in 32 species representing 13 apteronotid genera. This phylogeny and an extensive database of apteronotid signals allowed us to examine signal evolution by using ancestral state reconstruction (ASR) and phylogenetic generalized least squares (PGLS) models. Our molecular phylogeny largely agrees with another recent sequence-based phylogeny and identified five robust apteronotid clades: (i) <em>Sternarchorhamphus</em> <em>+</em> <em>Orthosternarchus</em>, (ii) <em>Adontosternarchus</em>, (iii) <em>Apteronotus</em> <!-->+<!--> <em>Parapteronotus</em>, (iv) <em>Sternarchorhynchus</em>, and (v) a large clade including <em>Porotergus, ‘Apteronotus’, Compsaraia, Sternarchogiton, Sternarchella,</em> and <em>Magosternarchus</em>. We analyzed novel chirp recordings from two apteronotid species (<em>Orthosternarchus tamandua</em> and <em>Sternarchorhynchus mormyrus</em>), and combined data from these species with that from previously recorded species in our phylogenetic analyses. Some signal parameters in <em>O. tamandua</em> were plesiomorphic (e.g., low frequency EODs and chirps with little frequency modulation that nevertheless interrupt the EOD), suggesting that ultra-high frequency EODs and “big” chirps evolved after apteronotids diverged from other gymnotiforms. In contrast to previous studies, our PGLS analyses using the new phylogeny indicated the presence of phylogenetic signals in the relationships between some EOD and chirp parameters. The ASR demonstrated that most EOD and chirp parameters are evolutionarily labile and have often diversified even among closely related species.</p></div>","PeriodicalId":50087,"journal":{"name":"Journal of Physiology-Paris","volume":"110 3","pages":"Pages 302-313"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jphysparis.2016.10.002","citationCount":"15","resultStr":"{\"title\":\"Evolution of electric communication signals in the South American ghost knifefishes (Gymnotiformes: Apteronotidae): A phylogenetic comparative study using a sequence-based phylogeny\",\"authors\":\"Adam R. Smith , Melissa R. Proffitt , Winnie W. Ho , Claire B. Mullaney , Javier A. Maldonado-Ocampo , Nathan R. Lovejoy , José A. Alves-Gomes , G. Troy Smith\",\"doi\":\"10.1016/j.jphysparis.2016.10.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The electric communication signals of weakly electric ghost knifefishes (Gymnotiformes: Apteronotidae) provide a valuable model system for understanding the evolution and physiology of behavior. Apteronotids produce continuous wave-type electric organ discharges (EODs) that are used for electrolocation and communication. The frequency and waveform of EODs, as well as the structure of transient EOD modulations (chirps), vary substantially across species. Understanding how these signals have evolved, however, has been hampered by the lack of a well-supported phylogeny for this family. We constructed a molecular phylogeny for the Apteronotidae by using sequence data from three genes (cytochrome c oxidase subunit 1, recombination activating gene 2, and cytochrome oxidase B) in 32 species representing 13 apteronotid genera. This phylogeny and an extensive database of apteronotid signals allowed us to examine signal evolution by using ancestral state reconstruction (ASR) and phylogenetic generalized least squares (PGLS) models. Our molecular phylogeny largely agrees with another recent sequence-based phylogeny and identified five robust apteronotid clades: (i) <em>Sternarchorhamphus</em> <em>+</em> <em>Orthosternarchus</em>, (ii) <em>Adontosternarchus</em>, (iii) <em>Apteronotus</em> <!-->+<!--> <em>Parapteronotus</em>, (iv) <em>Sternarchorhynchus</em>, and (v) a large clade including <em>Porotergus, ‘Apteronotus’, Compsaraia, Sternarchogiton, Sternarchella,</em> and <em>Magosternarchus</em>. We analyzed novel chirp recordings from two apteronotid species (<em>Orthosternarchus tamandua</em> and <em>Sternarchorhynchus mormyrus</em>), and combined data from these species with that from previously recorded species in our phylogenetic analyses. Some signal parameters in <em>O. tamandua</em> were plesiomorphic (e.g., low frequency EODs and chirps with little frequency modulation that nevertheless interrupt the EOD), suggesting that ultra-high frequency EODs and “big” chirps evolved after apteronotids diverged from other gymnotiforms. In contrast to previous studies, our PGLS analyses using the new phylogeny indicated the presence of phylogenetic signals in the relationships between some EOD and chirp parameters. The ASR demonstrated that most EOD and chirp parameters are evolutionarily labile and have often diversified even among closely related species.</p></div>\",\"PeriodicalId\":50087,\"journal\":{\"name\":\"Journal of Physiology-Paris\",\"volume\":\"110 3\",\"pages\":\"Pages 302-313\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.jphysparis.2016.10.002\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Physiology-Paris\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0928425716300080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physiology-Paris","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0928425716300080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
Evolution of electric communication signals in the South American ghost knifefishes (Gymnotiformes: Apteronotidae): A phylogenetic comparative study using a sequence-based phylogeny
The electric communication signals of weakly electric ghost knifefishes (Gymnotiformes: Apteronotidae) provide a valuable model system for understanding the evolution and physiology of behavior. Apteronotids produce continuous wave-type electric organ discharges (EODs) that are used for electrolocation and communication. The frequency and waveform of EODs, as well as the structure of transient EOD modulations (chirps), vary substantially across species. Understanding how these signals have evolved, however, has been hampered by the lack of a well-supported phylogeny for this family. We constructed a molecular phylogeny for the Apteronotidae by using sequence data from three genes (cytochrome c oxidase subunit 1, recombination activating gene 2, and cytochrome oxidase B) in 32 species representing 13 apteronotid genera. This phylogeny and an extensive database of apteronotid signals allowed us to examine signal evolution by using ancestral state reconstruction (ASR) and phylogenetic generalized least squares (PGLS) models. Our molecular phylogeny largely agrees with another recent sequence-based phylogeny and identified five robust apteronotid clades: (i) Sternarchorhamphus+Orthosternarchus, (ii) Adontosternarchus, (iii) Apteronotus + Parapteronotus, (iv) Sternarchorhynchus, and (v) a large clade including Porotergus, ‘Apteronotus’, Compsaraia, Sternarchogiton, Sternarchella, and Magosternarchus. We analyzed novel chirp recordings from two apteronotid species (Orthosternarchus tamandua and Sternarchorhynchus mormyrus), and combined data from these species with that from previously recorded species in our phylogenetic analyses. Some signal parameters in O. tamandua were plesiomorphic (e.g., low frequency EODs and chirps with little frequency modulation that nevertheless interrupt the EOD), suggesting that ultra-high frequency EODs and “big” chirps evolved after apteronotids diverged from other gymnotiforms. In contrast to previous studies, our PGLS analyses using the new phylogeny indicated the presence of phylogenetic signals in the relationships between some EOD and chirp parameters. The ASR demonstrated that most EOD and chirp parameters are evolutionarily labile and have often diversified even among closely related species.
期刊介绍:
Each issue of the Journal of Physiology (Paris) is specially commissioned, and provides an overview of one important area of neuroscience, delivering review and research papers from leading researchers in that field. The content will interest both those specializing in the experimental study of the brain and those working in interdisciplinary fields linking theory and biological data, including cellular neuroscience, mathematical analysis of brain function, computational neuroscience, biophysics of brain imaging and cognitive psychology.