Genomic approaches for interrogating the biochemistry of medicinal plant species

Elsa Góngora-Castillo, Greg Fedewa, Yunsoo Yeo, Joe Chappell, Dean Dellapenna, C. Robin Buell

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

48 Scopus citations

Abstract

Development of next-generation sequencing, coupled with the advancement of computational methods, has allowed researchers to access the transcriptomes of recalcitrant genomes such as those of medicinal plant species. Through the sequencing of even a few cDNA libraries, a broad representation of the transcriptome of any medicinal plant species can be obtained, providing a robust resource for gene discovery and downstream biochemical pathway discovery. When coupled to estimation of expression abundances in specific tissues from a developmental series, biotic stress, abiotic stress, or elicitor challenge, informative coexpression and differential expression estimates on a whole transcriptome level can be obtained to identify candidates for function discovery.

Original languageEnglish
Title of host publicationNatural Product Biosynthesis by Microorganisms and Plants, Part C
Pages139-159
Number of pages21
DOIs
StatePublished - 2012

Publication series

NameMethods in Enzymology
Volume517
ISSN (Print)0076-6879
ISSN (Electronic)1557-7988

Bibliographical note

Funding Information:
Funding for medicinal plant transcriptome work was provided by a grant to J. C., D. D. P., and C. R. B. from the National Institute of General Medical Sciences (1RC2GM092521) and from the Michigan State University GREEEN program to C. R. B. (GR11-181).

Funding

Funding for medicinal plant transcriptome work was provided by a grant to J. C., D. D. P., and C. R. B. from the National Institute of General Medical Sciences (1RC2GM092521) and from the Michigan State University GREEEN program to C. R. B. (GR11-181).

FundersFunder number
National Institute of General Medical SciencesRC2GM092521
Michigan State UniversityGR11-181

    Keywords

    • Annotation
    • Expression abundance
    • Isoforms
    • Transcriptome

    ASJC Scopus subject areas

    • Biochemistry
    • Molecular Biology

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