Literature DB >> 33977452

A User Guide for the Identification of New RiPP Biosynthetic Gene Clusters Using a RiPPER-Based Workflow.

Alaster D Moffat1, Javier Santos-Aberturas1, Govind Chandra1, Andrew W Truman2.   

Abstract

In recent years, genome mining has become a powerful strategy for the discovery of new specialized metabolites from microorganisms. However, the discovery of new groups of ribosomally synthesized and post-translationally modified peptides (RiPPs) by employing the currently available genome mining tools has proven challenging due to their inherent biases towards previously known RiPP families. In this chapter we provide detailed guidelines on using RiPPER, a recently developed RiPP-oriented genome mining tool conceived for the exploration of genomic database diversity in a flexible manner, thus allowing the discovery of truly new RiPP chemistry. In addition, using TfuA proteins of Alphaproteobacteria as an example, we present a complete workflow which integrates the functionalities of RiPPER with existing bioinformatic tools into a complete genome mining strategy. This includes some key updates to RiPPER (updated to version 1.1), which substantially simplify implementing this workflow.

Entities:  

Keywords:  Antibiotics; Bioinformatics; Biosynthetic gene cluster; Genome mining; Natural products; Peptides; RiPP; Specialized metabolites

Mesh:

Substances:

Year:  2021        PMID: 33977452     DOI: 10.1007/978-1-0716-1358-0_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Discovery and characterisation of an amidine-containing ribosomally-synthesised peptide that is widely distributed in nature.

Authors:  Alicia H Russell; Natalia M Vior; Edward S Hems; Rodney Lacret; Andrew W Truman
Journal:  Chem Sci       Date:  2021-08-02       Impact factor: 9.969

Review 2.  Genome Mining as an Alternative Way for Screening the Marine Organisms for Their Potential to Produce UV-Absorbing Mycosporine-like Amino Acid.

Authors:  Nedeljka Rosic
Journal:  Mar Drugs       Date:  2022-07-26       Impact factor: 6.085

3.  A scalable platform to discover antimicrobials of ribosomal origin.

Authors:  Richard S Ayikpoe; Chengyou Shi; Alexander J Battiste; Sara M Eslami; Sangeetha Ramesh; Max A Simon; Ian R Bothwell; Hyunji Lee; Andrew J Rice; Hengqian Ren; Qiqi Tian; Lonnie A Harris; Raymond Sarksian; Lingyang Zhu; Autumn M Frerk; Timothy W Precord; Wilfred A van der Donk; Douglas A Mitchell; Huimin Zhao
Journal:  Nat Commun       Date:  2022-10-17       Impact factor: 17.694

  3 in total

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