Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways

Marnix H. Medema*, Anne Osbourn

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

37 Citations (Scopus)

Abstract

Covering: 2003 to 2016 The last decade has seen the first major discoveries regarding the genomic basis of plant natural product biosynthetic pathways. Four key computationally driven strategies have been developed to identify such pathways, which make use of physical clustering, co-expression, evolutionary co-occurrence and epigenomic co-regulation of the genes involved in producing a plant natural product. Here, we discuss how these approaches can be used for the discovery of plant biosynthetic pathways encoded by both chromosomally clustered and non-clustered genes. Additionally, we will discuss opportunities to prioritize plant gene clusters for experimental characterization, and end with a forward-looking perspective on how synthetic biology technologies will allow effective functional reconstitution of candidate pathways using a variety of genetic systems.

Original languageEnglish
Pages (from-to)951-962
JournalNatural Product Reports
Volume33
Issue number8
DOIs
Publication statusPublished - 2016

Fingerprint Dive into the research topics of 'Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways'. Together they form a unique fingerprint.

Cite this