University of Oulu

Dario I. Ojeda, Erik Koenen, Sandra Cervantes, Manuel de la Estrella, Eulalia Banguera-Hinestroza, Steven B. Janssens, Jérémy Migliore, Boris B. Demenou, Anne Bruneau, Félix Forest, Olivier J. Hardy, Phylogenomic analyses reveal an exceptionally high number of evolutionary shifts in a florally diverse clade of African legumes, Molecular Phylogenetics and Evolution, Volume 137, 2019, Pages 156-167, ISSN 1055-7903,

Phylogenomic analyses reveal an exceptionally high number of evolutionary shifts in a florally diverse clade of African legumes

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Author: Ojeda, Dario I.1,2,3; Koenen, Erik4; Cervantes, Sandra1;
Organizations: 1Department of Ecology and Genetics, University of Oulu, PO Box 3000, Oulu FIN-90014, Finland
2Norwegian Institute of Bioeconomy Research, 1430 Ås, Norway
3Evolutionary Biology and Ecology Unit, CP 160/12, Faculté des Sciences, Université Libre de Bruxelles, Av. F. D. Roosevelt 50, B-1050 Brussels, Belgium
4Institute of Systematic Botany, University of Zurich, Zürich, Switzerland
5Jodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, TW9 3DS, UK
6Departamento de Botánica, Ecología y Fisiología Vegetal, Facultad de Ciencias, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
7Botanic Garden Meise, Nieuwelaan 38, BE-1860 Meise, Belgium
8Institut de recherche en biologie végétale and Département de Sciences Biologiques, Université de Montréal, 4101 Sherbrooke est, Montréal, QC H1X 2B2, Canad
Format: article
Version: accepted version
Access: embargoed
Persistent link:
Language: English
Published: Elsevier, 2019
Publish Date: 2020-05-07


Detarioideae is well known for its high diversity of floral traits, including flower symmetry, number of organs, and petal size and morphology. This diversity has been characterized and studied at higher taxonomic levels, but limited analyses have been performed among closely related genera with contrasting floral traits due to the lack of fully resolved phylogenetic relationships. Here, we used four representative transcriptomes to develop an exome capture (target enrichment) bait for the entire subfamily and applied it to the Anthonotha clade using a complete data set (61 specimens) representing all extant floral diversity. Our phylogenetic analyses recovered congruent topologies using ML and Bayesian methods. Anthonotha was recovered as monophyletic contrary to the remaining three genera (Englerodendron, Isomacrolobium and Pseudomacrolobium), which form a monophyletic group sister to Anthonotha. We inferred a total of 35 transitions for the seven floral traits (pertaining to flower symmetry, petals, stamens and staminodes) that we analyzed, suggesting that at least 30% of the species in this group display transitions from the ancestral condition reconstructed for the Anthonotha clade. The main transitions were towards a reduction in the number of organs (petals, stamens and staminodes). Despite the high number of transitions, our analyses indicate that the seven characters are evolving independently in these lineages. Petal morphology is the most labile floral trait with a total of seven independent transitions in number and seven independent transitions to modification in petal types. The diverse petal morphology along the dorsoventral axis of symmetry within the flower is not associated with differences at the micromorphology of petal surface, suggesting that in this group all petals within the flower might possess the same petal identity at the molecular level. Our results provide a solid evolutionary framework for further detailed analyses of the molecular basis of petal identity.

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Series: Molecular phylogenetics and evolution
ISSN: 1055-7903
ISSN-E: 1095-9513
ISSN-L: 1055-7903
Volume: 137
Pages: 156 - 167
DOI: 10.1016/j.ympev.2019.05.002
Type of Publication: A1 Journal article – refereed
Field of Science: 1184 Genetics, developmental biology, physiology
1181 Ecology, evolutionary biology
Funding: M.E. was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 659152 (GLDAFRICA). This work was supported by the Fonds de la Recherche Scientifique-FNRS (F.R.S.-FNRS) under Grants n° T.0163.13 and J.0292.17F, and by the Belgian Federal Science Policy Office (BELSPO) through project AFRIFORD from the BRAIN program.
Copyright information: © 2019 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license