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.

    We have a manual that explains all the features 

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Applied evolution: Phylogeny-based approaches in natural products research
Adamek, Martina ; Alanjary, Mohammad ; Ziemert, Nadine - \ 2019
Natural Product Reports 36 (2019)9. - ISSN 0265-0568 - p. 1295 - 1312.

Covering: Up to 2019 Phylogenetic methods become increasingly important in natural product research. The growing amount of genetic data available today is enabling us to infer the evolutionary history of secondary metabolite gene clusters and their encoded compounds. We are starting to understand patterns and mechanisms of how the enormous diversity of chemical compounds produced by nature has evolved and are able to use phylogenetic inference to facilitate functional predictions of involved enzymes. In this review, we highlight how phylogenetic methods can aid natural product discovery and predictions and demonstrate several examples how these have been used in the past. We are featuring a number of easy to use tools that aid tree building and analysis and are providing a short overview how to create and interpret a phylogenetic tree.

antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline
Blin, Kai ; Shaw, Simon ; Steinke, Katharina ; Villebro, Rasmus ; Ziemert, Nadine ; Lee, Sang Yup ; Medema, Marnix H. ; Weber, Tilmann - \ 2019
Nucleic acids research 47 (2019)W1. - ISSN 0305-1048 - p. W81 - W87.

Secondary metabolites produced by bacteria and fungi are an important source of antimicrobials and other bioactive compounds. In recent years, genome mining has seen broad applications in identifying and characterizing new compounds as well as in metabolic engineering. Since 2011, the 'antibiotics and secondary metabolite analysis shell-antiSMASH' (https://antismash.secondarymetabolites.org) has assisted researchers in this, both as a web server and a standalone tool. It has established itself as the most widely used tool for identifying and analysing biosynthetic gene clusters (BGCs) in bacterial and fungal genome sequences. Here, we present an entirely redesigned and extended version 5 of antiSMASH. antiSMASH 5 adds detection rules for clusters encoding the biosynthesis of acyl-amino acids, β-lactones, fungal RiPPs, RaS-RiPPs, polybrominated diphenyl ethers, C-nucleosides, PPY-like ketones and lipolanthines. For type II polyketide synthase-encoding gene clusters, antiSMASH 5 now offers more detailed predictions. The HTML output visualization has been redesigned to improve the navigation and visual representation of annotations. We have again improved the runtime of analysis steps, making it possible to deliver comprehensive annotations for bacterial genomes within a few minutes. A new output file in the standard JavaScript object notation (JSON) format is aimed at downstream tools that process antiSMASH results programmatically.

Minimum Information about a Biosynthetic Gene cluster
Medema, M.H. ; Kottmann, Renzo ; Yilmaz, Pelin ; Cummings, Matthew ; Biggins, J.B. ; Blin, Kai ; Bruijn, Irene De; Chooi, Yit Heng ; Claesen, Jan ; Coates, R.C. ; Cruz-Morales, Pablo ; Duddela, Srikanth ; Düsterhus, Stephanie ; Edwards, Daniel J. ; Fewer, David P. ; Garg, Neha ; Geiger, Christoph ; Gomez-Escribano, Juan Pablo ; Greule, Anja ; Hadjithomas, Michalis ; Haines, Anthony S. ; Helfrich, Eric J.N. ; Hillwig, Matthew L. ; Ishida, Keishi ; Jones, Adam C. ; Jones, Carla S. ; Jungmann, Katrin ; Kegler, Carsten ; Kim, Hyun Uk ; Kötter, Peter ; Krug, Daniel ; Masschelein, Joleen ; Melnik, Alexey V. ; Mantovani, Simone M. ; Monroe, Emily A. ; Moore, Marcus ; Moss, Nathan ; Nützmann, Hans Wilhelm ; Pan, Guohui ; Pati, Amrita ; Petras, Daniel ; Reen, F.J. ; Rosconi, Federico ; Rui, Zhe ; Tian, Zhenhua ; Tobias, Nicholas J. ; Tsunematsu, Yuta ; Wiemann, Philipp ; Wyckoff, Elizabeth ; Yan, Xiaohui ; Yim, Grace ; Yu, Fengan ; Xie, Yunchang ; Aigle, Bertrand ; Apel, Alexander K. ; Balibar, Carl J. ; Balskus, Emily P. ; Barona-Gómez, Francisco ; Bechthold, Andreas ; Bode, Helge B. ; Borriss, Rainer ; Brady, Sean F. ; Brakhage, Axel A. ; Caffrey, Patrick ; Cheng, Yi Qiang ; Clardy, Jon ; Cox, Russell J. ; Mot, René De; Donadio, Stefano ; Donia, Mohamed S. ; Donk, Wilfred A. Van Der; Dorrestein, Pieter C. ; Doyle, Sean ; Driessen, Arnold J.M. ; Ehling-Schulz, Monika ; Entian, Karl Dieter ; Fischbach, Michael A. ; Gerwick, Lena ; Gerwick, William H. ; Gross, Harald ; Gust, Bertolt ; Hertweck, Christian ; Höfte, Monica ; Jensen, Susan E. ; Ju, Jianhua ; Katz, Leonard ; Kaysser, Leonard ; Klassen, Jonathan L. ; Keller, Nancy P. ; Kormanec, Jan ; Kuipers, Oscar P. ; Kuzuyama, Tomohisa ; Kyrpides, Nikos C. ; Kwon, Hyung Jin ; Lautru, Sylvie ; Lavigne, Rob ; Lee, Chia Y. ; Linquan, Bai ; Liu, Xinyu ; Liu, Wen ; Luzhetskyy, Andriy ; Mahmud, Taifo ; Mast, Yvonne ; Méndez, Carmen ; Metsä-Ketelä, Mikko ; Micklefield, Jason ; Mitchell, Douglas A. ; Moore, Bradley S. ; Moreira, Leonilde M. ; Müller, Rolf ; Neilan, Brett A. ; Nett, Markus ; Nielsen, Jens ; O'Gara, Fergal ; Oikawa, Hideaki ; Osbourn, Anne ; Osburne, Marcia S. ; Ostash, Bohdan ; Payne, Shelley M. ; Pernodet, Jean Luc ; Petricek, Miroslav ; Piel, Jörn ; Ploux, Olivier ; Raaijmakers, Jos M. ; Salas, José A. ; Schmitt, Esther K. ; Scott, Barry ; Seipke, Ryan F. ; Shen, Ben ; Sherman, David H. ; Sivonen, Kaarina ; Smanski, Michael J. ; Sosio, Margherita ; Stegmann, Evi ; Süssmuth, Roderich D. ; Tahlan, Kapil ; Thomas, Christopher M. ; Tang, Yi ; Truman, Andrew W. ; Viaud, Muriel ; Walton, Jonathan D. ; Walsh, Christopher T. ; Weber, Tilmann ; Wezel, Gilles P. Van; Wilkinson, Barrie ; Willey, Joanne M. ; Wohlleben, Wolfgang ; Wright, Gerard D. ; Ziemert, Nadine ; Zhang, Changsheng ; Zotchev, Sergey B. ; Breitling, Rainer ; Takano, Eriko ; Glöckner, Frank Oliver - \ 2015
Nature Chemical Biology 11 (2015)9. - ISSN 1552-4450 - p. 625 - 631.

A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.

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