Metabolic characterisation of Magnetospirillum gryphiswaldense MSR-1 using LC-MS-based metabolite profiling

Magnetosomes are nano-sized magnetic nanoparticles with exquisite properties that can be used in a wide range of healthcare and biotechnological applications. They are biosynthesised by magnetotactic bacteria (MTB), such as MSR-1 ( ). However, magnetosome bioprocessing yields low quantities compared...

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Veröffentlicht in:RSC advances 2020-09, Vol.10 (54), p.32548-32560
Hauptverfasser: Abdelrazig, Salah, Safo, Laudina, Rance, Graham A, Fay, Michael W, Theodosiou, Eirini, Topham, Paul D, Kim, Dong-Hyun, Fernández-Castané, Alfred
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container_end_page 32560
container_issue 54
container_start_page 32548
container_title RSC advances
container_volume 10
creator Abdelrazig, Salah
Safo, Laudina
Rance, Graham A
Fay, Michael W
Theodosiou, Eirini
Topham, Paul D
Kim, Dong-Hyun
Fernández-Castané, Alfred
description Magnetosomes are nano-sized magnetic nanoparticles with exquisite properties that can be used in a wide range of healthcare and biotechnological applications. They are biosynthesised by magnetotactic bacteria (MTB), such as MSR-1 ( ). However, magnetosome bioprocessing yields low quantities compared to chemical synthesis of magnetic nanoparticles. Therefore, an understanding of the intracellular metabolites and metabolic networks related to growth and magnetosome formation are vital to unlock the potential of this organism to develop improved bioprocesses. In this work, we investigated the metabolism of using untargeted metabolomics. Liquid chromatography-mass spectrometry (LC-MS) was performed to profile spent medium samples of cells grown under O -limited ( = 6) and O -rich conditions ( = 6) corresponding to magnetosome- and non-magnetosome producing cells, respectively. Multivariate, univariate and pathway enrichment analyses were conducted to identify significantly altered metabolites and pathways. Rigorous metabolite identification was carried out using authentic standards, the -specific metabolite database and MS/MS mzCloud database. PCA and OPLS-DA showed clear separation and clustering of sample groups with cross-validation values of R X = 0.76, R Y = 0.99 and Q = 0.98 in OPLS-DA. As a result, 50 metabolites linked to 45 metabolic pathways were found to be significantly altered in the tested conditions, including: glycine, serine and threonine; butanoate; alanine, aspartate and glutamate metabolism; aminoacyl-tRNA biosynthesis and; pyruvate and citric acid cycle (TCA) metabolisms. Our findings demonstrate the potential of LC-MS to characterise key metabolites in and will contribute to further understanding the metabolic mechanisms that affect growth and magnetosome formation.
doi_str_mv 10.1039/d0ra05326k
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PCA and OPLS-DA showed clear separation and clustering of sample groups with cross-validation values of R X = 0.76, R Y = 0.99 and Q = 0.98 in OPLS-DA. As a result, 50 metabolites linked to 45 metabolic pathways were found to be significantly altered in the tested conditions, including: glycine, serine and threonine; butanoate; alanine, aspartate and glutamate metabolism; aminoacyl-tRNA biosynthesis and; pyruvate and citric acid cycle (TCA) metabolisms. 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subjects Alanine
Bioprocessing
Biosynthesis
Chemical synthesis
Chemistry
Citric acid
Clustering
Glycine
Liquid chromatography
Magnetic properties
Mass spectrometry
Metabolism
Metabolites
Nanoparticles
title Metabolic characterisation of Magnetospirillum gryphiswaldense MSR-1 using LC-MS-based metabolite profiling
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