Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences

Soil microorganisms are a rich source of bioactive molecules. Here, the authors present a targeted sequencing workflow that reconstructs the clustered organization of biosynthetic domains in metagenomic libraries from amplicon data, thus guiding the discovery of novel metabolites from rare members o...

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Autores principales:	Vincent Libis, Niv Antonovsky, Mengyin Zhang, Zhuo Shang, Daniel Montiel, Jeffrey Maniko, Melinda A. Ternei, Paula Y. Calle, Christophe Lemetre, Jeremy G. Owen, Sean F. Brady
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2be2b1b1e1544062afa735e20fcd1c7b
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spelling	oai:doaj.org-article:2be2b1b1e1544062afa735e20fcd1c7b2021-12-02T17:01:32ZUncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences10.1038/s41467-019-11658-z2041-1723https://doaj.org/article/2be2b1b1e1544062afa735e20fcd1c7b2019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11658-zhttps://doaj.org/toc/2041-1723Soil microorganisms are a rich source of bioactive molecules. Here, the authors present a targeted sequencing workflow that reconstructs the clustered organization of biosynthetic domains in metagenomic libraries from amplicon data, thus guiding the discovery of novel metabolites from rare members of the soil microbiome.Vincent LibisNiv AntonovskyMengyin ZhangZhuo ShangDaniel MontielJeffrey ManikoMelinda A. TerneiPaula Y. CalleChristophe LemetreJeremy G. OwenSean F. BradyNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Vincent Libis Niv Antonovsky Mengyin Zhang Zhuo Shang Daniel Montiel Jeffrey Maniko Melinda A. Ternei Paula Y. Calle Christophe Lemetre Jeremy G. Owen Sean F. Brady Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences
description	Soil microorganisms are a rich source of bioactive molecules. Here, the authors present a targeted sequencing workflow that reconstructs the clustered organization of biosynthetic domains in metagenomic libraries from amplicon data, thus guiding the discovery of novel metabolites from rare members of the soil microbiome.
format	article
author	Vincent Libis Niv Antonovsky Mengyin Zhang Zhuo Shang Daniel Montiel Jeffrey Maniko Melinda A. Ternei Paula Y. Calle Christophe Lemetre Jeremy G. Owen Sean F. Brady
author_facet	Vincent Libis Niv Antonovsky Mengyin Zhang Zhuo Shang Daniel Montiel Jeffrey Maniko Melinda A. Ternei Paula Y. Calle Christophe Lemetre Jeremy G. Owen Sean F. Brady
author_sort	Vincent Libis
title	Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences
title_short	Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences
title_full	Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences
title_fullStr	Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences
title_full_unstemmed	Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences
title_sort	uncovering the biosynthetic potential of rare metagenomic dna using co-occurrence network analysis of targeted sequences
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/2be2b1b1e1544062afa735e20fcd1c7b
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Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences

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