Data from: Elucidating steroid alkaloid biosynthesis in Veratrum californicum: production of verazine in Sf9 cells

Steroid alkaloids have been shown to elicit a wide range of pharmacological effects that include anticancer and antifungal activities. Understanding the biosynthesis of these molecules is essential to bioengineering for sustainable production. Herein, we investigate the biosynthetic pathway to cyclopamine, a steroid alkaloid that shows promising antineoplastic activities. Supply of cyclopamine is limited, as the current source is solely derived from wild collection of the plant Veratrum californicum. To elucidate the early stages of the pathway to cyclopamine, we interrogated a V. californicum RNA-seq dataset using the cyclopamine accumulation profile as a predefined model for gene expression with the pattern-matching algorithm Haystack. Refactoring candidate genes in Sf9 insect cells led to discovery of four enzymes that catalyze the first six steps in steroid alkaloid biosynthesis to produce verazine, a predicted precursor to cyclopamine. Three of the enzymes are cytochromes P450 while the fourth is a γ-aminobutyrate transaminase; together they produce verazine from cholesterol.

Identifier
DOI https://doi.org/10.5061/dryad.n9s7q
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-pk-o62m
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:89308
Provenance
Creator Augustin, Megan M.; Ruzicka, Dan R.; Shukla, Ashutosh K.; Augustin, Jorg M.; Starks, Courtney M.; O'Neil-Johnson, Mark; McKain, Michael R.; Evans, Bradley S.; Barrett, Matthew D.; Smithson, Ann; Wong, Gane Ka-Shu; Deyholos, Michael K.; Edger, Patrick P.; Pires, J. Chris; Leebens-Mack, James H.; Mann, Dave A.; Kutchan, Toni M.
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2015
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Life Sciences; Medicine