JOURNAL ARTICLE

A dated phylogeny of the Neotropical Dipterygeae clade reveals 30 million years of winged papilionate floral conservatism in the otherwise florally labile early-branching papilionoid legumes.

  • Published In: Botanical Journal of the Linnean Society, 2023, v. 202, n. 4. P. 449 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Carvalho, Catarina S; Lima, Haroldo Cavalcante de; Lemes, Maristerra Rodrigues; Zartman, Charles E; Berg, Cássio van den; García-Dávila, Carmen Rosa; Coronado, Eurídice N Honorio; Mader, Malte; Paredes-Villanueva, Kathelyn; Tysklind, Niklas; Cardoso, Domingos 3 of 3

Abstract

This article focuses on the evolutionary history and floral morphology of the Dipterygeae clade within the Fabaceae subfamily Papilionoideae. Using comprehensive molecular phylogenetic analyses of nuclear ribosomal ITS/5.8S and plastid matK and trnL intron sequences, the study confirms the monophyly of the four genera in Dipterygeae (Dipteryx, Monopteryx, Pterodon, and Taralea) and reveals approximately 30 million years of evolutionary conservatism in their unique winged papilionate floral architecture. Despite this floral stability, fruit morphology within the clade shows significant evolutionary lability, with diverse dispersal strategies that may explain the clade's ecological success across various Neotropical biomes. The findings highlight the contrast between the conserved floral traits and the variable fruit forms, suggesting ecological interactions with specialized pollinators and protective calyx structures have contributed to the persistence and diversification of Dipterygeae.

Additional Information

  • Source:Botanical Journal of the Linnean Society. 2023/08, Vol. 202, Issue 4, p449
  • Document Type:Article
  • Subject Area:Forestry
  • Publication Date:2023
  • ISSN:0024-4074
  • DOI:10.1093/botlinnean/boad003
  • Accession Number:169828230
  • Copyright Statement:Copyright of Botanical Journal of the Linnean Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.