Literature DB >> 35290545

Impact of phosphate concentration on the metabolome of biofilms of the marine bacterium Pseudoalteromonas lipolytica.

Nathan Carriot1, Raphaëlle Barry-Martinet1, Jean-François Briand1, Annick Ortalo-Magné2, Gérald Culioli3,4.   

Abstract

INTRODUCTION: Marine biofilms are the most widely distributed mode of life on Earth and drive biogeochemical cycling processes of most elements. Phosphorus (P) is essential for many biological processes such as energy transfer mechanisms, biological information storage and membrane integrity.
OBJECTIVES: Our aim was to analyze the effect of a gradient of ecologically relevant phosphate concentrations on the biofilm-forming capacity and the metabolome of the marine bacterium Pseudoalteromonas lipolytica TC8.
METHODS: In addition to the evaluation of the effect of different phosphate concentration on the biomass, structure and gross biochemical composition of biofilms of P. lipolytica TC8, untargeted metabolomics based on liquid chromatography-mass spectrometry (LC-MS) analysis was used to determine the main metabolites impacted by P-limiting conditions. Annotation of the most discriminating and statistically robust metabolites was performed through the concomitant use of molecular networking and MS/MS fragmentation pattern interpretation.
RESULTS: At the lowest phosphate concentration, biomass, carbohydrate content and three-dimensional structures of biofilms tended to decrease. Furthermore, untargeted metabolomics allowed for the discrimination of the biofilm samples obtained at the five phosphate concentrations and the highlighting of a panel of metabolites mainly implied in such a discrimination. A large part of the metabolites of the resulting dataset were then putatively annotated. Ornithine lipids were found in increasing quantity when the phosphate concentration decreased, while the opposite trend was observed for oxidized phosphatidylethanolamines (PEs).
CONCLUSION: This study demonstrated the suitability of LC-MS-based untargeted metabolomics for evaluating the effect of culture conditions on marine bacterial biofilms. More precisely, these results supported the high plasticity of the membrane of P. lipolytica TC8, while the role of the oxidized PEs remains to be clarified.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  LC-MS-based metabolomics; Marine biofilms; Membrane remodeling; Ornithine lipids; Phosphate depletion

Mesh:

Substances:

Year:  2022        PMID: 35290545     DOI: 10.1007/s11306-022-01875-x

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  51 in total

Review 1.  Microbial Surface Colonization and Biofilm Development in Marine Environments.

Authors:  Hongyue Dang; Charles R Lovell
Journal:  Microbiol Mol Biol Rev       Date:  2015-12-23       Impact factor: 11.056

Review 2.  Challenges, progress and promises of metabolite annotation for LC-MS-based metabolomics.

Authors:  Romanas Chaleckis; Isabel Meister; Pei Zhang; Craig E Wheelock
Journal:  Curr Opin Biotechnol       Date:  2018-08-20       Impact factor: 9.740

3.  Identification of bacterial strains isolated from the Mediterranean Sea exhibiting different abilities of biofilm formation.

Authors:  Florence Brian-Jaisson; Annick Ortalo-Magné; Linda Guentas-Dombrowsky; Fabrice Armougom; Yves Blache; Maëlle Molmeret
Journal:  Microb Ecol       Date:  2014-01-09       Impact factor: 4.552

4.  The hydrophobicity of bacteria - an important factor in their initial adhesion at the air-water interface.

Authors:  B Dahlbäck; M Hermansson; S Kjelleberg; B Norkrans
Journal:  Arch Microbiol       Date:  1981-01       Impact factor: 2.552

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.  Integration of LC/MS-based molecular networking and classical phytochemical approach allows in-depth annotation of the metabolome of non-model organisms - The case study of the brown seaweed Taonia atomaria.

Authors:  Nathan Carriot; Benoît Paix; Stéphane Greff; Bruno Viguier; Jean-François Briand; Gérald Culioli
Journal:  Talanta       Date:  2020-12-04       Impact factor: 6.057

7.  Accumulation of a novel glycolipid and a betaine lipid in cells of Rhodobacter sphaeroides grown under phosphate limitation.

Authors:  C Benning; Z H Huang; D A Gage
Journal:  Arch Biochem Biophys       Date:  1995-02-20       Impact factor: 4.013

8.  Reproducible molecular networking of untargeted mass spectrometry data using GNPS.

Authors:  Allegra T Aron; Emily C Gentry; Kerry L McPhail; Louis-Félix Nothias; Mélissa Nothias-Esposito; Amina Bouslimani; Daniel Petras; Julia M Gauglitz; Nicole Sikora; Fernando Vargas; Justin J J van der Hooft; Madeleine Ernst; Kyo Bin Kang; Christine M Aceves; Andrés Mauricio Caraballo-Rodríguez; Irina Koester; Kelly C Weldon; Samuel Bertrand; Catherine Roullier; Kunyang Sun; Richard M Tehan; Cristopher A Boya P; Martin H Christian; Marcelino Gutiérrez; Aldo Moreno Ulloa; Javier Andres Tejeda Mora; Randy Mojica-Flores; Johant Lakey-Beitia; Victor Vásquez-Chaves; Yilue Zhang; Angela I Calderón; Nicole Tayler; Robert A Keyzers; Fidele Tugizimana; Nombuso Ndlovu; Alexander A Aksenov; Alan K Jarmusch; Robin Schmid; Andrew W Truman; Nuno Bandeira; Mingxun Wang; Pieter C Dorrestein
Journal:  Nat Protoc       Date:  2020-05-13       Impact factor: 17.021

Review 9.  Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies.

Authors:  David Broadhurst; Royston Goodacre; Stacey N Reinke; Julia Kuligowski; Ian D Wilson; Matthew R Lewis; Warwick B Dunn
Journal:  Metabolomics       Date:  2018-05-18       Impact factor: 4.290

10.  A Practical Guide to Metabolomics Software Development.

Authors:  Hui-Yin Chang; Sean M Colby; Xiuxia Du; Javier D Gomez; Maximilian J Helf; Katerina Kechris; Christine R Kirkpatrick; Shuzhao Li; Gary J Patti; Ryan S Renslow; Shankar Subramaniam; Mukesh Verma; Jianguo Xia; Jamey D Young
Journal:  Anal Chem       Date:  2021-01-19       Impact factor: 6.986

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.