Evidence map›Paper›PMID 22978363›Full record

ArticleBMC evolutionary biology2012

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, Per Mølgaard, Gitte Petersen, Nina Rasmussen, Johannes van Staden and 2 more

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
  2. Acteoside exerts neuroprotective effects by preventing α-synuclein aggregation and oxidative stress in models of Parkinson's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  3. Article
  4. Evolutionary Tree in Chemical Space of Natural Products.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Comment on Pyrrolizidine Alkaloids and Terpenes fromMolecules (Basel, Switzerland) · 2022
    Article
  11. Effect of Different Physical Factors on efficacy ofBiochemistry and biophysics reports · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. The complete plastome of the South African species,Mitochondrial DNA. Part B, Resources · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Nina RønstedBotanic Garden, Natural History Museum of Denmark, Sølvgade 83, Opg. S, Copenhagen DK-1307, Denmark. nronsted@snm.ku.dk
Matthew R E Symonds
Trine Birkholm
Søren Brøgger Christensen
Alan W Meerow
Marianne Molander
Per Mølgaard
Gitte Petersen
Nina Rasmussen
Johannes van Staden
Gary I Stafford
Anna K Jäger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring 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.

resultsWe 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.

conclusionsSeveral 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.

Indexed as

PhylogenyAlkaloidsAnimalsBayes TheoremCell NucleusCholinesterase InhibitorsDNA, MitochondrialDNA, PlantDNA, Ribosomal SpacerElectrophorusLiliaceaePlants, MedicinalRatsSelective Serotonin Reuptake InhibitorsSequence Analysis, DNAAlkaloidsCholinesterase InhibitorsDNA, MitochondrialDNA, PlantDNA, Ribosomal SpacerSelective Serotonin Reuptake Inhibitors

Identifiers

PMID22978363
PMCPMC3499480

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.