Metabolomic tools for secondary metabolite discovery from marine microbial symbionts

Macintyre, Lynsey and Zhang, Tong and Viegelmann, Christina and Martinez, Ignacio Juarez and Cheng, Cheng and Dowdells, Catherine and Abdelmohsen, Usama Ramadan and Gernert, Christine and Hentschel, Ute and Edrada-Ebel, Ru Angelie (2014) Metabolomic tools for secondary metabolite discovery from marine microbial symbionts. Marine Drugs, 12 (6). pp. 3416-3448. ISSN 1660-3397 (https://doi.org/10.3390/md12063416)

[thumbnail of Metabolomic Tools for Secondary Metabolite Discovery]
Preview
 PDF. Filename: Metabolomic_Tools_for_Secondary_Metabolite_Discovery.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

Abstract

Marine invertebrate-associated symbiotic bacteria produce a plethora of novel secondary metabolites which may be structurally unique with interesting pharmacological properties. Selection of strains usually relies on literature searching, genetic screening and bioactivity results, often without considering the chemical novelty and abundance of secondary metabolites being produced by the microorganism until the time-consuming bioassay-guided isolation stages. To fast track the selection process, metabolomic tools were used to aid strain selection by investigating differences in the chemical profiles of 77 bacterial extracts isolated from cold water marine invertebrates from Orkney, Scotland using liquid chromatography-high resolution mass spectrometry (LC-HRMS) and nuclear magnetic resonance (NMR) spectroscopy. Following mass spectrometric analysis and dereplication using an Excel macro developed in-house, principal component analysis (PCA) was employed to differentiate the bacterial strains based on their chemical profiles. NMR 1H and correlation spectroscopy (COSY) were also employed to obtain a chemical fingerprint of each bacterial strain and to confirm the presence of functional groups and spin systems. These results were then combined with taxonomic identification and bioassay screening data to identify three bacterial strains, namely Bacillus sp. 4117, Rhodococcus sp. ZS402 and Vibrio splendidus strain LGP32, to prioritize for scale-up based on their chemically interesting secondary metabolomes, established through dereplication and interesting bioactivities, determined from bioassay screening.

ORCID iDs

Macintyre, Lynsey, Zhang, Tong, Viegelmann, Christina ORCID logoORCID: https://orcid.org/0000-0002-5842-3036, Martinez, Ignacio Juarez, Cheng, Cheng, Dowdells, Catherine, Abdelmohsen, Usama Ramadan, Gernert, Christine, Hentschel, Ute and Edrada-Ebel, Ru Angelie;
CORE (COnnecting REpositories)