Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of Amaryllidaceae

Nina Rønsted, Matthew R. E. Symonds, Trine Birkholm, Søren Brøgger Christensen, Alan W. Meerow, Marianne Molander Schmidt, Per Mølgaard, Gitte Petersen, Nina Rasmussen, Johannes van Staden, Gary Ivan Stafford, Anna Jäger

    75 Citations (Scopus)
    120 Downloads (Pure)

    Abstract

    Abstract. Background: During evolution, plants and other organisms have developed a diversity of chemical defences, leading to the evolution of various groups of specialized metabolites selected for their endogenous biological function. A correlation between phylogeny and biosynthetic pathways could offer a predictive approach enabling more efficient selection of plants for the development of traditional medicine and lead discovery. However, this relationship has rarely been rigorously tested and the potential predictive power is consequently unknown. Results: We produced a phylogenetic hypothesis for the medicinally important plant subfamily Amaryllidoideae (Amaryllidaceae) based on parsimony and Bayesian analysis of nuclear, plastid, and mitochondrial DNA sequences of over 100 species. We tested if alkaloid diversity and activity in bioassays related to the central nervous system are significantly correlated with phylogeny and found evidence for a significant phylogenetic signal in these traits, although the effect is not strong. Conclusions: Several genera are non-monophyletic emphasizing the importance of using phylogeny for interpretation of character distribution. Alkaloid diversity and in vitro inhibition of acetylcholinesterase (AChE) and binding to the serotonin reuptake transporter (SERT) are significantly correlated with phylogeny. This has implications for the use of phylogenies to interpret chemical evolution and biosynthetic pathways, to select candidate taxa for lead discovery, and to make recommendations for policies regarding traditional use and conservation priorities.

    Original languageEnglish
    Article number182
    JournalBMC Evolutionary Biology
    Volume12
    Number of pages12
    ISSN1471-2148
    DOIs
    Publication statusPublished - 14 Sept 2012

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