Literature DB >> 31210257

Staring into the void: demystifying microbial metabolomics.

Cynthia M Grim1, Gordon T Luu1, Laura M Sanchez1.   

Abstract

Metabolites give us a window into the chemistry of microbes and are split into two subclasses: primary and secondary. Primary metabolites are required for life whereas secondary metabolites have historically been classified as those appearing after exponential growth and are not necessarily needed for survival. Many microbial species are estimated to produce hundreds of metabolites and can be affected by differing nutrients. Using various analytical techniques, metabolites can be directly detected in order to elucidate their biological significance. Currently, a single experiment can produce anywhere from megabytes to terabytes of data. This big data has motivated scientists to develop informatics tools to help target specific metabolites or sets of metabolites. Broadly, it is imperative to identify clear biological questions before embarking on a study of metabolites (metabolomics). For instance, studying the effect of a transposon insertion on phenazine biosynthesis in Pseudomonas is a very different from asking what molecules are present in a specific banana-derived strain of Pseudomonas. This review is meant to serve as a primer for a 'choose your own adventure' approach for microbiologists with limited mass spectrometry expertise, with a strong focus on liquid chromatography mass spectrometry based workflows developed or optimized within the past five years. © FEMS 2019.

Entities:  

Keywords:  mass spectrometry; metabolomics; microbiology

Mesh:

Year:  2019        PMID: 31210257      PMCID: PMC6597752          DOI: 10.1093/femsle/fnz135

Source DB:  PubMed          Journal:  FEMS Microbiol Lett        ISSN: 0378-1097            Impact factor:   2.742


  66 in total

1.  Aerobic and Anaerobic Bacterial Mercury Uptake is Driven by Algal Organic Matter Composition and Molecular Weight.

Authors:  Vaughn Mangal; Benjamin R Stenzler; Alexandre J Poulain; Celine Guéguen
Journal:  Environ Sci Technol       Date:  2018-12-19       Impact factor: 9.028

2.  Molecular networking as a dereplication strategy.

Authors:  Jane Y Yang; Laura M Sanchez; Christopher M Rath; Xueting Liu; Paul D Boudreau; Nicole Bruns; Evgenia Glukhov; Anne Wodtke; Rafael de Felicio; Amanda Fenner; Weng Ruh Wong; Roger G Linington; Lixin Zhang; Hosana M Debonsi; William H Gerwick; Pieter C Dorrestein
Journal:  J Nat Prod       Date:  2013-09-11       Impact factor: 4.050

3.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Authors:  Colin A Smith; Elizabeth J Want; Grace O'Maille; Ruben Abagyan; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-02-01       Impact factor: 6.986

4.  Metabolic shift of Staphylococcus aureus under sublethal dose of methicillin in the presence of glucose.

Authors:  Joshua Rutowski; Fanyi Zhong; Mengyang Xu; Jiangjiang Zhu
Journal:  J Pharm Biomed Anal       Date:  2019-02-08       Impact factor: 3.935

5.  Intra-clade metabolomic profiling of MAR4 Streptomyces from the Macaronesia Atlantic region reveals a source of anti-biofilm metabolites.

Authors:  Anelize Bauermeister; Florbela Pereira; Inês R Grilo; Camila C Godinho; Marisa Paulino; Vanessa Almeida; Leonardo Gobbo-Neto; Alejandra Prieto-Davó; Rita G Sobral; Norberto P Lopes; Susana P Gaudêncio
Journal:  Environ Microbiol       Date:  2019-02-22       Impact factor: 5.491

6.  Volatile metabolites.

Authors:  Daryl D Rowan
Journal:  Metabolites       Date:  2011-11-25

7.  Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools.

Authors:  Manish Sud; Eoin Fahy; Dawn Cotter; Kenan Azam; Ilango Vadivelu; Charles Burant; Arthur Edison; Oliver Fiehn; Richard Higashi; K Sreekumaran Nair; Susan Sumner; Shankar Subramaniam
Journal:  Nucleic Acids Res       Date:  2015-10-13       Impact factor: 16.971

Review 8.  Global open data management in metabolomics.

Authors:  Kenneth Haug; Reza M Salek; Christoph Steinbeck
Journal:  Curr Opin Chem Biol       Date:  2017-01-13       Impact factor: 8.822

9.  Tandem Mass Spectrometry for 13C Metabolic Flux Analysis: Methods and Algorithms Based on EMU Framework.

Authors:  Jungik Choi; Maciek R Antoniewicz
Journal:  Front Microbiol       Date:  2019-01-24       Impact factor: 5.640

10.  AssayR: A Simple Mass Spectrometry Software Tool for Targeted Metabolic and Stable Isotope Tracer Analyses.

Authors:  Jimi Wills; Joy Edwards-Hicks; Andrew J Finch
Journal:  Anal Chem       Date:  2017-09-05       Impact factor: 6.986

View more
  5 in total

Review 1.  Metabolomics and genomics in natural products research: complementary tools for targeting new chemical entities.

Authors:  Lindsay K Caesar; Rana Montaser; Nancy P Keller; Neil L Kelleher
Journal:  Nat Prod Rep       Date:  2021-11-17       Impact factor: 13.423

2.  Utilizing imaging mass spectrometry to analyze microbial biofilm chemical responses to exogenous compounds.

Authors:  Catherine S McCaughey; Michael A Trebino; Fitnat H Yildiz; Laura M Sanchez
Journal:  Methods Enzymol       Date:  2021-12-07       Impact factor: 1.682

3.  Untargeted LC-MS Metabolomics Differentiates Between Virulent and Avirulent Clinical Strains of Pseudomonas aeruginosa.

Authors:  Tobias Depke; Janne Gesine Thöming; Adrian Kordes; Susanne Häussler; Mark Brönstrup
Journal:  Biomolecules       Date:  2020-07-13

Review 4.  "Omic" Approaches to Bacteria and Antibiotic Resistance Identification.

Authors:  Daria Janiszewska; Małgorzata Szultka-Młyńska; Paweł Pomastowski; Bogusław Buszewski
Journal:  Int J Mol Sci       Date:  2022-08-24       Impact factor: 6.208

Review 5.  Models for measuring metabolic chemical changes in the metastasis of high grade serous ovarian cancer: fallopian tube, ovary, and omentum.

Authors:  Hannah Lusk; Joanna E Burdette; Laura M Sanchez
Journal:  Mol Omics       Date:  2021-12-06
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.