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Transcriptome analysis of 20 taxonomically related benzylisoquinoline alkaloid-producing plants

Transcriptome analysis of 20 taxonomically related benzylisoquinoline alkaloid-producing plants

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4575454

Transcriptome analysis of 20 taxonomically related benzylisoquinoline alkaloid-producing plants

About this item

Full title

Transcriptome analysis of 20 taxonomically related benzylisoquinoline alkaloid-producing plants

Publisher

England: BioMed Central Ltd

Journal title

BMC plant biology, 2015-09, Vol.15 (1), p.227-227, Article 227

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

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Scope and Contents

Contents

Benzylisoquinoline alkaloids (BIAs) represent a diverse class of plant specialized metabolites sharing a common biosynthetic origin beginning with tyrosine. Many BIAs have potent pharmacological activities, and plants accumulating them boast long histories of use in traditional medicine and cultural practices. The decades-long focus on a select number of plant species as model systems has allowed near or full elucidation of major BIA pathways, including those of morphine, sanguinarine and berberine. However, this focus has created a dearth of knowledge surrounding non-model species, which also are known to accumulate a wide-range of BIAs but whose biosynthesis is thus far entirely unexplored. Further, these non-model species represent a rich source of catalyst diversity valuable to plant biochemists and emerging synthetic biology efforts.
In order to access the genetic diversity of non-model plants accumulating BIAs, we selected 20 species representing 4 families within the Ranunculales. RNA extracted from each species was processed for analysis by both 1) Roche GS-FLX Titanium and 2) Illumina GA/HiSeq platforms, generating a total of 40 deep-sequencing transcriptome libraries. De novo assembly, annotation and subsequent full-length coding sequence (CDS) predictions indicated greater success for most species using the Illumina-based platform. Assembled data for each transcriptome were deposited into an established web-based BLAST portal ( www.phytometasyn.ca) to allow public access. Homology-based mining of libraries using BIA-biosynthetic enzymes as queries yielded ~850 gene candidates potentially involved in alkaloid biosynthesis. Expression analysis of these candidates was performed using inter-library FPKM normalization methods. These expression data provide a basis for the rational selection...

Alternative Titles

Full title

Transcriptome analysis of 20 taxonomically related benzylisoquinoline alkaloid-producing plants

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Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4575454

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4575454

Other Identifiers

ISSN

1471-2229

E-ISSN

1471-2229

DOI

10.1186/s12870-015-0596-0

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