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In silico prediction and characterisation of secondary metabolite clusters in the plant pathogenic fungus Verticillium dahliae

  • Published:2019-04-01 Issue:7 Volume:366 Page:
  • ISSN:1574-6968
  • Container-title:FEMS Microbiology Letters
  • language:en
  • Short-container-title:

Author:

Shi-Kunne Xiaoqian1,Jové Roger de Pedro1,Depotter Jasper R L12,Ebert Malaika K1,Seidl Michael F1,Thomma Bart P H J1ORCID

Affiliation:

1. Laboratory of Phytopathology, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands

2. Department of Crops and Agronomy, National Institute of Agricultural Botany, Huntingdon Road, CB3 0LE Cambridge, United Kingdom

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Microbiology

Reference66 articles.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J R Stat Soc Ser B,1995

2. Molecular diversity sculpted by fungal PKS–NRPS hybrids;Boettger;ChemBioChem,2013

3. Fungal secondary metabolites–strategies to activate silent gene clusters;Brakhage;Fungal Genet Biol,2011

4. Identification of a 12-gene fusaric acid biosynthetic gene cluster in Fusarium species through comparative and functional genomics;Brown;Mol Plant-Microbe Interact,2015

5. Next-generation sequencing approach for connecting secondary metabolites to biosynthetic gene clusters in fungi;Cacho;Front Microbiol,2015

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