Abstract

Lake Tanganyika is the oldest and phenotypically most diverse of the three East African cichlid fish adaptive radiations. It is also the cradle for the younger parallel haplochromine cichlid radiations in Lakes Malawi and Victoria. Despite its evolutionary significance, the relationships among the main Lake Tanganyika lineages remained unresolved, as did the general timescale of cichlid evolution. Here, we disentangle the deep phylogenetic structure of the Lake Tanganyika radiation using anchored phylogenomics and uncover hybridization at its base, as well as early in the haplochromine radiation. This suggests that hybridization might have facilitated these speciation bursts. Time-calibrated trees support that the radiation of Tanganyika cichlids coincided with lake formation and that Gondwanan vicariance concurred with the earliest splits in the cichlid family tree. Genes linked to key innovations show signals of introgression or positive selection following colonization of lake habitats and species’ dietary adaptations are revealed as major drivers of colour vision evolution. These findings shed light onto the processes shaping the evolution of adaptive radiations.

Details

Title
Phylogenomics uncovers early hybridization and adaptive loci shaping the radiation of Lake Tanganyika cichlid fishes
Author
Irisarri, Iker 1   VIAFID ORCID Logo  ; Singh, Pooja 2   VIAFID ORCID Logo  ; Koblmüller, Stephan 3   VIAFID ORCID Logo  ; Torres-Dowdall, Julián 4   VIAFID ORCID Logo  ; Henning, Frederico 5 ; Franchini, Paolo 4   VIAFID ORCID Logo  ; Fischer, Christoph 6 ; Lemmon, Alan R 7   VIAFID ORCID Logo  ; Emily Moriarty Lemmon 8   VIAFID ORCID Logo  ; Thallinger, Gerhard G 6   VIAFID ORCID Logo  ; Sturmbauer, Christian 3 ; Meyer, Axel 9   VIAFID ORCID Logo 

 Lehrstuhl für Zoologie und Evolutionsbiologie, Department of Biology, University of Konstanz, Konstanz, Germany; Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales (MNCN-CSIC), Madrid, Spain 
 Lehrstuhl für Zoologie und Evolutionsbiologie, Department of Biology, University of Konstanz, Konstanz, Germany; Institute of Biology, University of Graz, Graz, Austria 
 Institute of Biology, University of Graz, Graz, Austria 
 Lehrstuhl für Zoologie und Evolutionsbiologie, Department of Biology, University of Konstanz, Konstanz, Germany 
 Lehrstuhl für Zoologie und Evolutionsbiologie, Department of Biology, University of Konstanz, Konstanz, Germany; Department of Genetics, Institute of Biology, Federal University of Rio de Janeiro, Ilha do Fundão, Rio de Janeiro, Brazil 
 Institute of Computational Biotechnology, Graz University of Technology, Graz, Austria; OMICS Center Graz, BioTechMed Graz, Graz, Austria 
 Department of Scientific Computing, Florida State University, Dirac Science Library, Tallahassee, FL, USA 
 Department of Biological Science, Florida State University, Biomedical Research Facility, Tallahassee, FL, USA 
 Lehrstuhl für Zoologie und Evolutionsbiologie, Department of Biology, University of Konstanz, Konstanz, Germany; Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA, USA 
Pages
1-12
Publication year
2018
Publication date
Aug 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2085641542
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.