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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Rønsted, Nina Symonds, Matthew R E Birkholm, Trine Christensen, Søren Brøgger Meerow, Alan W Molander, Marianne Mølgaard, Per Petersen, Gitte Rasmussen, Nina van Staden, Johannes Stafford, Gary I Jäger, Anna K |
| 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. |
| Related Links | https://bmcecolevol.biomedcentral.com/counter/pdf/10.1186/1471-2148-12-182.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 27307182 |
| DOI | 10.1186/1471-2148-12-182 |
| Journal | BMC Ecology and Evolution |
| Issue Number | 1 |
| Volume Number | 12 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2012-09-14 |
| Access Restriction | Open |
| Subject Keyword | Evolutionary Biology Animal Systematics Taxonomy Biogeography Entomology Genetics and Population Dynamics Life Sciences Amaryllidaceae Phylogeny Chemical diversity Prediction Lead discovery Animal Systematics/Taxonomy/Biogeography |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ecology, Evolution, Behavior and Systematics |
| Journal Impact Factor | 2.3/2023 |
| 5-Year Journal Impact Factor | 2.3/2023 |
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