Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of amaryllidaceae
Autor: | Trine Birkholm, Matthew R. E. Symonds, Per Mølgaard, Alan W. Meerow, Gitte Petersen, Søren Brøgger Christensen, Nina Rønsted, Nina Rasmussen, Anna K. Jäger, Gary I. Stafford, Johannes Van Staden, Marianne Molander |
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Jazyk: | angličtina |
Rok vydání: | 2012 |
Předmět: |
Mitochondrial DNA
Subfamily DNA Plant Evolution Plant genetics DNA Mitochondrial Alkaloids Phylogenetics DNA Ribosomal Spacer QH359-425 Liliaceae Animals Amaryllidoideae Plastid Ecology Evolution Behavior and Systematics Phylogeny Lead discovery Cell Nucleus Plants Medicinal biology Phylogenetic tree Amaryllidaceae Bayes Theorem Sequence Analysis DNA biology.organism_classification Rats Taxon Evolutionary biology Electrophorus Chemical diversity Cholinesterase Inhibitors Prediction Selective Serotonin Reuptake Inhibitors Research Article |
Zdroj: | BMC Evolutionary Biology Rønsted, N, Symonds, M R E, Birkholm, T, Christensen, S B, Meerow, A W, Schmidt, M M, Mølgaard, P, Petersen, G, Rasmussen, N, van Staden, J, Stafford, G I & Jäger, A 2012, ' Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of Amaryllidaceae ', BMC Evolutionary Biology, vol. 12, 182 . https://doi.org/10.1186/1471-2148-12-182 BMC Evolutionary Biology, Vol 12, Iss 1, p 182 (2012) |
ISSN: | 1471-2148 |
DOI: | 10.1186/1471-2148-12-182 |
Popis: | 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. |
Databáze: | OpenAIRE |
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