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

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Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of Amaryllidaceae. / Rønsted, Nina; Symonds, Matthew R. E.; Birkholm, Trine; Christensen, Søren Brøgger; Meerow, Alan W.; Schmidt, Marianne Molander; Mølgaard, Per; Petersen, Gitte; Rasmussen, Nina; van Staden, Johannes; Stafford, Gary Ivan; Jäger, Anna.

In: BMC Evolutionary Biology, Vol. 12, 182, 14.09.2012.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Rønsted, N, Symonds, MRE, Birkholm, T, Christensen, SB, Meerow, AW, Schmidt, MM, Mølgaard, P, Petersen, G, Rasmussen, N, van Staden, J, Stafford, GI & 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

APA

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, 12, [182]. https://doi.org/10.1186/1471-2148-12-182

Vancouver

Rønsted N, Symonds MRE, Birkholm T, Christensen SB, Meerow AW, Schmidt MM et al. Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of Amaryllidaceae. BMC Evolutionary Biology. 2012 Sep 14;12. 182. https://doi.org/10.1186/1471-2148-12-182

Author

Rønsted, Nina ; Symonds, Matthew R. E. ; Birkholm, Trine ; Christensen, Søren Brøgger ; Meerow, Alan W. ; Schmidt, Marianne Molander ; Mølgaard, Per ; Petersen, Gitte ; Rasmussen, Nina ; van Staden, Johannes ; Stafford, Gary Ivan ; Jäger, Anna. / Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of Amaryllidaceae. In: BMC Evolutionary Biology. 2012 ; Vol. 12.

Bibtex

@article{b3f15eaff4084faa8547212719123a93,
title = "Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of Amaryllidaceae",
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.",
author = "Nina R{\o}nsted and Symonds, {Matthew R. E.} and Trine Birkholm and Christensen, {S{\o}ren Br{\o}gger} and Meerow, {Alan W.} and Schmidt, {Marianne Molander} and Per M{\o}lgaard and Gitte Petersen and Nina Rasmussen and {van Staden}, Johannes and Stafford, {Gary Ivan} and Anna J{\"a}ger",
year = "2012",
month = sep,
day = "14",
doi = "10.1186/1471-2148-12-182",
language = "English",
volume = "12",
journal = "B M C Evolutionary Biology",
issn = "1471-2148",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Can phylogeny predict chemical diversity and potential medicinal activity of plants? A case study of Amaryllidaceae

AU - Rønsted, Nina

AU - Symonds, Matthew R. E.

AU - Birkholm, Trine

AU - Christensen, Søren Brøgger

AU - Meerow, Alan W.

AU - Schmidt, Marianne Molander

AU - Mølgaard, Per

AU - Petersen, Gitte

AU - Rasmussen, Nina

AU - van Staden, Johannes

AU - Stafford, Gary Ivan

AU - Jäger, Anna

PY - 2012/9/14

Y1 - 2012/9/14

N2 - 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.

AB - 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.

U2 - 10.1186/1471-2148-12-182

DO - 10.1186/1471-2148-12-182

M3 - Journal article

C2 - 22978363

VL - 12

JO - B M C Evolutionary Biology

JF - B M C Evolutionary Biology

SN - 1471-2148

M1 - 182

ER -

ID: 40478762