Abstract
The evolutionary relationships of cyanobacteria, as inferred by their SSU (16S) rRNA genes, were used as predictors of their potential to produce varied secondary metabolites. The evolutionary relatedness in geographically distant cyanobacterial specimens was then used as a guide for the detection and isolation of new variations of predicted molecules. This phylogeny-guided isolation approach for new secondary metabolites was tested in its capacity to direct the search for specific classes of new natural products from Curaçao marine cyanobacteria. As a result, we discovered ethyl tumonoate A (1), a new tumonoic acid derivative with anti-inflammatory activity and inhibitory activity of calcium oscillations in neocortical neurons.
| Original language | English |
|---|---|
| Pages (from-to) | 1737-1743 |
| Number of pages | 7 |
| Journal | Journal of Natural Products |
| Volume | 74 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 26 2011 |
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All Science Journal Classification (ASJC) codes
- Complementary and alternative medicine
- Molecular Medicine
- Organic Chemistry
- Analytical Chemistry
- Pharmaceutical Science
- Pharmacology
- Drug Discovery
Cite this
Phylogeny-guided isolation of ethyl tumonoate a from the marine cyanobacterium cf. Oscillatoria margaritifera. / Engene, Niclas; Choi, Hyukjae; Esquenazi, Eduardo; Byrum, Tara; Villa, Francisco A.; Cao, Zhengyu; Murray, Thomas F.; Dorrestein, Pieter C.; Gerwick, Lena; Gerwick, William H.
In: Journal of Natural Products, Vol. 74, No. 8, 26.08.2011, p. 1737-1743.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Phylogeny-guided isolation of ethyl tumonoate a from the marine cyanobacterium cf. Oscillatoria margaritifera
AU - Engene, Niclas
AU - Choi, Hyukjae
AU - Esquenazi, Eduardo
AU - Byrum, Tara
AU - Villa, Francisco A.
AU - Cao, Zhengyu
AU - Murray, Thomas F.
AU - Dorrestein, Pieter C.
AU - Gerwick, Lena
AU - Gerwick, William H.
PY - 2011/8/26
Y1 - 2011/8/26
N2 - The evolutionary relationships of cyanobacteria, as inferred by their SSU (16S) rRNA genes, were used as predictors of their potential to produce varied secondary metabolites. The evolutionary relatedness in geographically distant cyanobacterial specimens was then used as a guide for the detection and isolation of new variations of predicted molecules. This phylogeny-guided isolation approach for new secondary metabolites was tested in its capacity to direct the search for specific classes of new natural products from Curaçao marine cyanobacteria. As a result, we discovered ethyl tumonoate A (1), a new tumonoic acid derivative with anti-inflammatory activity and inhibitory activity of calcium oscillations in neocortical neurons.
AB - The evolutionary relationships of cyanobacteria, as inferred by their SSU (16S) rRNA genes, were used as predictors of their potential to produce varied secondary metabolites. The evolutionary relatedness in geographically distant cyanobacterial specimens was then used as a guide for the detection and isolation of new variations of predicted molecules. This phylogeny-guided isolation approach for new secondary metabolites was tested in its capacity to direct the search for specific classes of new natural products from Curaçao marine cyanobacteria. As a result, we discovered ethyl tumonoate A (1), a new tumonoic acid derivative with anti-inflammatory activity and inhibitory activity of calcium oscillations in neocortical neurons.
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U2 - 10.1021/np200236c
DO - 10.1021/np200236c
M3 - Article
VL - 74
SP - 1737
EP - 1743
JO - Journal of Natural Products
JF - Journal of Natural Products
SN - 0163-3864
IS - 8
ER -