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Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways
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, evol...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987707/ https://www.ncbi.nlm.nih.gov/pubmed/27321668 http://dx.doi.org/10.1039/c6np00035e |
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author | Medema, Marnix H. Osbourn, Anne |
author_facet | Medema, Marnix H. Osbourn, Anne |
author_sort | Medema, Marnix H. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4987707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-49877072016-10-12 Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways Medema, Marnix H. Osbourn, Anne Nat Prod Rep Chemistry 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. Royal Society of Chemistry 2016-07-27 2016-06-20 /pmc/articles/PMC4987707/ /pubmed/27321668 http://dx.doi.org/10.1039/c6np00035e Text en This journal is © The Royal Society of Chemistry 2016 http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Chemistry Medema, Marnix H. Osbourn, Anne Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways |
title | Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways |
title_full | Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways |
title_fullStr | Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways |
title_full_unstemmed | Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways |
title_short | Computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways |
title_sort | computational genomic identification and functional reconstitution of plant natural product biosynthetic pathways |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987707/ https://www.ncbi.nlm.nih.gov/pubmed/27321668 http://dx.doi.org/10.1039/c6np00035e |
work_keys_str_mv | AT medemamarnixh computationalgenomicidentificationandfunctionalreconstitutionofplantnaturalproductbiosyntheticpathways AT osbournanne computationalgenomicidentificationandfunctionalreconstitutionofplantnaturalproductbiosyntheticpathways |