MassIVE MSV000087793

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GNPS-Burkholderia_trimethoprim_SCFM2vsLB

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Description

Infections by Burkholderia cenocepacia lead to life-threatening disease in immunocompromised individuals, including those living with cystic fibrosis (CF). While genetic variation in various B. cenocepacia strains has been reported, it remains unclear how environmental conditions found in the CF lung influence the production of small molecules that may impact virulence of these strains. Here we compare metabolomic profiles of three clinical B. cenocepacia strains cultured in synthetic CF sputum media (SCFM2) and in a routine laboratory media (LB), in the presence and absence of the antibiotic trimethoprim. Using a mass spectrometry based untargeted metabolomics approach, we identify several compound classes which are differentially produced in SCFM2 compared to LB media, including siderophores, antimicrobials, quorum sensing signals, and various lipid families. Furthermore, we describe how metabolomic changes induced by the antibiotic trimethoprim vary in SCFM2 compared to LB. The differences described in this study provide insight into the diversity of secondary metabolites produced by B. cenocepacia strains under conditions representative of the nutritional conditions present in CF-associated lung environments. [doi:10.25345/C5F24R] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Burkholderia cenocepacia ; artificial CF sputum media ; trimethoprim

Contact

Principal Investigators:
(in alphabetical order) 		Neha Garg, Georgia Institute of Technology, USA
Submitting User: amcavoy

Publications

Olakunle A Jaiyesimi, Andrew C McAvoy, David N Fogg, Neha Garg.
Metabolomic profiling of Burkholderia cenocepacia in synthetic cystic fibrosis sputum medium reveals nutrient environment-specific production of virulence factors.
Sci Rep. 2021;11 (1), 21419. doi: 10.1038/s41598-021-00421-4.

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GNPS content goes here (MSV000087793 [task=faf86b2ed4044b22b99ad0a62c1fccc7])
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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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