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Next Generation Sequencing in Predicting Gene Function in Podophyllotoxin Biosynthesis*

Overview of attention for article published in Journal of Biological Chemistry, November 2012
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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1 X user
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1 patent
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1 Redditor

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94 Mendeley
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1 CiteULike
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Article details
Title
Next Generation Sequencing in Predicting Gene Function in Podophyllotoxin Biosynthesis*
Published in
Journal of Biological Chemistry, November 2012
DOI 10.1074/jbc.m112.400689
Pubmed ID
Authors
Abstract

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.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Uruguay 1 1%
Serbia 1 1%
India 1 1%
China 1 1%
Canada 1 1%
Unknown 89 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 19 20%
Student > Bachelor 8 9%
Student > Master 7 7%
Professor 5 5%
Other 8 9%
Unknown 26 28%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 36 38%
Biochemistry, Genetics and Molecular Biology 14 15%
Chemistry 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Engineering 2 2%
Other 4 4%
Unknown 32 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 November 2019.
All research outputs
#10,252,225
of 33,957,889 outputs
Outputs from Journal of Biological Chemistry
#10,979
of 29,571 outputs
Outputs of similar age
#67,144
of 213,814 outputs
Outputs of similar age from Journal of Biological Chemistry
#185
of 616 outputs
Altmetric has tracked 33,957,889 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 29,571 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 213,814 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 616 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.