Next Generation Sequencing in Predicting Gene Function in Podophyllotoxin Biosynthesis

Podophyllum species are sources of (−)-podophyllotoxin, an aryltetralin lignan used for semi-synthesis of various powerful and extensively employed cancer-treating drugs. Its biosynthetic pathway, however, remains largely unknown, with the last unequivocally demonstrated intermediate being (−)-matai...

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Veröffentlicht in:The Journal of biological chemistry 2013-01, Vol.288 (1), p.466-479
Hauptverfasser: Marques, Joaquim V., Kim, Kye-Won, Lee, Choonseok, Costa, Michael A., May, Gregory D., Crow, John A., Davin, Laurence B., Lewis, Norman G.
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container_end_page 479
container_issue 1
container_start_page 466
container_title The Journal of biological chemistry
container_volume 288
creator Marques, Joaquim V.
Kim, Kye-Won
Lee, Choonseok
Costa, Michael A.
May, Gregory D.
Crow, John A.
Davin, Laurence B.
Lewis, Norman G.
description Podophyllum species are sources of (−)-podophyllotoxin, an aryltetralin lignan used for semi-synthesis of various powerful and extensively employed cancer-treating drugs. Its biosynthetic pathway, however, remains largely unknown, with the last unequivocally demonstrated intermediate being (−)-matairesinol. Herein, massively parallel sequencing of Podophyllum hexandrum and Podophyllum peltatum transcriptomes and subsequent bioinformatics analyses of the corresponding assemblies were carried out. Validation of the assembly process was first achieved through confirmation of assembled sequences with those of various genes previously established as involved in podophyllotoxin biosynthesis as well as other candidate biosynthetic pathway genes. This contribution describes characterization of two of the latter, namely the cytochrome P450s, CYP719A23 from P. hexandrum and CYP719A24 from P. peltatum. Both enzymes were capable of converting (−)-matairesinol into (−)-pluviatolide by catalyzing methylenedioxy bridge formation and did not act on other possible substrates tested. Interestingly, the enzymes described herein were highly similar to methylenedioxy bridge-forming enzymes from alkaloid biosynthesis, whereas candidates more similar to lignan biosynthetic enzymes were catalytically inactive with the substrates employed. This overall strategy has thus enabled facile further identification of enzymes putatively involved in (−)-podophyllotoxin biosynthesis and underscores the deductive power of next generation sequencing and bioinformatics to probe and deduce medicinal plant biosynthetic pathways. Background: Biosynthetic pathways to structurally complex plant medicinals are incomplete or unknown. Results: Next generation sequencing/bioinformatics and metabolomics analysis of Podophyllum tissues gave putative unknown genes in podophyllotoxin biosynthesis. Conclusion: Regio-specific methylenedioxy bridge-forming CyP450s were identified catalyzing pluviatolide formation. Significance: Database of several medicinal plant transcriptome assemblies and metabolic profiling are made available for scientific community.
doi_str_mv 10.1074/jbc.M112.400689
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Its biosynthetic pathway, however, remains largely unknown, with the last unequivocally demonstrated intermediate being (−)-matairesinol. Herein, massively parallel sequencing of Podophyllum hexandrum and Podophyllum peltatum transcriptomes and subsequent bioinformatics analyses of the corresponding assemblies were carried out. Validation of the assembly process was first achieved through confirmation of assembled sequences with those of various genes previously established as involved in podophyllotoxin biosynthesis as well as other candidate biosynthetic pathway genes. This contribution describes characterization of two of the latter, namely the cytochrome P450s, CYP719A23 from P. hexandrum and CYP719A24 from P. peltatum. Both enzymes were capable of converting (−)-matairesinol into (−)-pluviatolide by catalyzing methylenedioxy bridge formation and did not act on other possible substrates tested. Interestingly, the enzymes described herein were highly similar to methylenedioxy bridge-forming enzymes from alkaloid biosynthesis, whereas candidates more similar to lignan biosynthetic enzymes were catalytically inactive with the substrates employed. This overall strategy has thus enabled facile further identification of enzymes putatively involved in (−)-podophyllotoxin biosynthesis and underscores the deductive power of next generation sequencing and bioinformatics to probe and deduce medicinal plant biosynthetic pathways. Background: Biosynthetic pathways to structurally complex plant medicinals are incomplete or unknown. Results: Next generation sequencing/bioinformatics and metabolomics analysis of Podophyllum tissues gave putative unknown genes in podophyllotoxin biosynthesis. Conclusion: Regio-specific methylenedioxy bridge-forming CyP450s were identified catalyzing pluviatolide formation. 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Interestingly, the enzymes described herein were highly similar to methylenedioxy bridge-forming enzymes from alkaloid biosynthesis, whereas candidates more similar to lignan biosynthetic enzymes were catalytically inactive with the substrates employed. This overall strategy has thus enabled facile further identification of enzymes putatively involved in (−)-podophyllotoxin biosynthesis and underscores the deductive power of next generation sequencing and bioinformatics to probe and deduce medicinal plant biosynthetic pathways. Background: Biosynthetic pathways to structurally complex plant medicinals are incomplete or unknown. Results: Next generation sequencing/bioinformatics and metabolomics analysis of Podophyllum tissues gave putative unknown genes in podophyllotoxin biosynthesis. Conclusion: Regio-specific methylenedioxy bridge-forming CyP450s were identified catalyzing pluviatolide formation. 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subjects Amino Acid Sequence
Catalysis
Computational Biology - methods
Cytochrome P-450 Enzyme System - metabolism
Cytochrome P450
Databases, Factual
Enzyme Catalysis
Gene Expression Regulation, Plant
Lignans
Lignans - chemistry
Metabolism
Metabolomics
Methylenedioxy Bridge Formation
Microsomes - metabolism
Models, Biological
Models, Chemical
Molecular Sequence Data
Plant Extracts - chemistry
Plant Medicinals
Plants, Medicinal - metabolism
Podophyllotoxin
Podophyllotoxin - biosynthesis
Podophyllum - metabolism
Sequence Analysis, DNA - methods
Sequence Homology, Amino Acid
Transcriptome
Transcriptomics
title Next Generation Sequencing in Predicting Gene Function in Podophyllotoxin Biosynthesis
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