Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 538378
Title Genomic identification and analysis of specialized metabolite biosynthetic gene clusters in plants using plantiSMASH
Author(s) Kautsar, Satria A.; Suarez Duran, Hernando G.; Medema, Marnix H.
Source In: Plant Chemical Genomics / Fauser, Friedrich, Jonikas, Martin, New York : Humana Press Inc. (Methods in Molecular Biology ) - ISBN 9781493978731 - p. 173 - 188.
DOI https://doi.org/10.1007/978-1-4939-7874-8_15
Department(s) Bioinformatics
Publication type Peer reviewed book chapter
Publication year 2018
Keyword(s) Bioinformatics - Biosynthetic gene cluster - Biosynthetic pathway - Genomic - Plant - Secondary metabolite - Specialized metabolite
Abstract

Plants produce a vast diversity of specialized metabolites, which play important roles in the interactions with their microbiome, as well as with animals and other plants. Many such molecules have valuable biological activities that render them (potentially) useful as medicines, flavors and fragrances, nutritional ingredients, or cosmetics. Recently, plant scientists have discovered that the genes for many biosynthetic pathways for the production of such specialized metabolites are physically clustered on the chromosome within biosynthetic gene clusters (BGCs). The Plant Secondary Metabolite Analysis Shell (plantiSMASH) allows for the automated identification of such plant BGCs, facilitates comparison of BGCs across genomes, and helps users to predict the functional interactions of pairs of genes within and between BGCs based on coexpression analysis. In this chapter, we provide a detailed protocol on how to install and run plantiSMASH, and how to interpret its results to draw biological conclusions that are supported by the data.

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