Genomic and Metabolomic Analysis of the Potato Common Scab Pathogen Streptomyces scabiei

Liu, Jingyu and Nothias, Louis-Félix and Dorrestein, Pieter C. and Tahlan, Kapil and Bignell, Dawn R. D. (2021) Genomic and Metabolomic Analysis of the Potato Common Scab Pathogen Streptomyces scabiei. ACS Omega, 6 (17). pp. 11474-11487. ISSN 2470-1343

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Abstract

Streptomyces scabiei is a key causative agent of common scab disease, which causes significant economic losses to potato growers worldwide. This organism produces several phytotoxins that are known or suspected to contribute to host–pathogen interactions and disease development; however, the full metabolic potential of S. scabiei has not been previously investigated. In this study, we used a combined metabolomic and genomic approach to investigate the metabolites that are produced by S. scabiei. The genome sequence was analyzed using antiSMASH and DeepBGC to identify specialized metabolite biosynthetic gene clusters. Using untargeted liquid chromatography-coupled tandem mass spectrometry (LC-MS2), the metabolic profile of S. scabiei was compared after cultivation on three different growth media. MS2 data were analyzed using Feature-Based Molecular Networking and hierarchical clustering in BioDendro. Metabolites were annotated by performing a Global Natural Products Social Molecular Networking (GNPS) spectral library search or using Network Annotation Propagation, SIRIUS, MetWork, or Competitive Fragmentation Modeling for Metabolite Identification. Using this approach, we were able to putatively identify new analogues of known metabolites as well as molecules that were not previously known to be produced by S. scabiei. To our knowledge, this study represents the first global analysis of specialized metabolites that are produced by this important plant pathogen.

Item Type: Article
URI: http://research.library.mun.ca/id/eprint/15356
Item ID: 15356
Additional Information: Memorial University Open Access Author's Fund
Department(s): Science, Faculty of > Biology
Date: 20 April 2021
Date Type: Publication
Digital Object Identifier (DOI): https://doi.org/10.1021/acsomega.1c00526
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