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Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts

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 cons...

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Autores principales: Macintyre, Lynsey, Zhang, Tong, Viegelmann, Christina, Juarez Martinez, Ignacio, Cheng, Cheng, Dowdells, Catherine, Abdelmohsen, Usama Ramadan, Gernert, Christine, Hentschel, Ute, Edrada-Ebel, RuAngelie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071584/
https://www.ncbi.nlm.nih.gov/pubmed/24905482
http://dx.doi.org/10.3390/md12063416
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author Macintyre, Lynsey
Zhang, Tong
Viegelmann, Christina
Juarez Martinez, Ignacio
Cheng, Cheng
Dowdells, Catherine
Abdelmohsen, Usama Ramadan
Gernert, Christine
Hentschel, Ute
Edrada-Ebel, RuAngelie
author_facet Macintyre, Lynsey
Zhang, Tong
Viegelmann, Christina
Juarez Martinez, Ignacio
Cheng, Cheng
Dowdells, Catherine
Abdelmohsen, Usama Ramadan
Gernert, Christine
Hentschel, Ute
Edrada-Ebel, RuAngelie
author_sort Macintyre, Lynsey
collection PubMed
description 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 (1)H 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.
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spelling pubmed-40715842014-06-26 Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts Macintyre, Lynsey Zhang, Tong Viegelmann, Christina Juarez Martinez, Ignacio Cheng, Cheng Dowdells, Catherine Abdelmohsen, Usama Ramadan Gernert, Christine Hentschel, Ute Edrada-Ebel, RuAngelie Mar Drugs Article 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 (1)H 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. MDPI 2014-06-05 /pmc/articles/PMC4071584/ /pubmed/24905482 http://dx.doi.org/10.3390/md12063416 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Macintyre, Lynsey
Zhang, Tong
Viegelmann, Christina
Juarez Martinez, Ignacio
Cheng, Cheng
Dowdells, Catherine
Abdelmohsen, Usama Ramadan
Gernert, Christine
Hentschel, Ute
Edrada-Ebel, RuAngelie
Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts
title Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts
title_full Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts
title_fullStr Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts
title_full_unstemmed Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts
title_short Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts
title_sort metabolomic tools for secondary metabolite discovery from marine microbial symbionts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071584/
https://www.ncbi.nlm.nih.gov/pubmed/24905482
http://dx.doi.org/10.3390/md12063416
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