Journal
NATURAL PRODUCT REPORTS
Volume 33, Issue 8, Pages 951-962Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c6np00035e
Keywords
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Funding
- VENI grant from Netherlands Organization for Scientific Research (NWO) [863.15.002]
- UK Biotechnological and Biological Sciences Research Council (BBSRC) Institute Strategic Programme Grant 'Understanding and Exploiting Plant and Microbial Metabolism' [BB/J004561/1]
- John Innes Foundation
- Engineering and Physical Sciences Research Council/BBSRC [BB/L014130/1]
- National Institutes of Health Genome [U101GM110699]
- Biotechnology and Biological Sciences Research Council [BB/M028860/1, BBS/E/J/00000614, BB/M028712/1, BB/L014130/1, BBS/E/J/000CA527] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/K034359/1] Funding Source: researchfish
- BBSRC [BBS/E/J/000CA527, BB/M028860/1, BB/L014130/1, BB/M028712/1] Funding Source: UKRI
- EPSRC [EP/K034359/1] Funding Source: UKRI
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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.
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