Open Access Highly Accessed Research article

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

Nina Rønsted1*, Matthew R E Symonds3, Trine Birkholm2, Søren Brøgger Christensen2, Alan W Meerow45, Marianne Molander2, Per Mølgaard2, Gitte Petersen1, Nina Rasmussen2, Johannes van Staden6, Gary I Stafford1 and Anna K Jäger2

Author Affiliations

1 Botanic Garden, Natural History Museum of Denmark, Sølvgade 83, Opg. S, Copenhagen, DK-1307, Denmark

2 Natural Products Research, Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, Copenhagen, DK-2100, Denmark

3 Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia

4 USDA-ARS-SHRS, National Germplasm Repository, 13601 Old Cutler Road, Miami, Florida, USA

5 Fairchild Tropical Garden, Miami, Florida, USA

6 Research Centre for Plant Growth and Development, School of Life Sciences, University of KwaZulu-Natal Pietermaritzburg, Private Bag X01, Scottsville, 3201, South Africa

For all author emails, please log on.

BMC Evolutionary Biology 2012, 12:182  doi:10.1186/1471-2148-12-182

Published: 14 September 2012

Additional files

Additional file 1:

Bayesian consensus tree with posterior probabilities and parsimony bootstrap consensus tree for the total evidence analysis and bootstrap consensus trees of individual regions. Figures S1-S7.

Format: PDF Size: 360KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Details of material included in the present study.

Format: DOCX Size: 34KB Download file

Open Data

Additional file 3:

Primers used in this study for amplification and sequencing of four DNA regions in Amaryllidaceae subfamily Amaryllidoideae.

Format: PDF Size: 96KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data