Computational ranking of yerba mate small molecules based on their predicted contribution to antibacterial activity against methicillin-resistant staphylococcus aureus

Caroline S. Rempe, Kellie P. Burris, Hannah L. Woo, Benjamin Goodrich, Denise Koessler Gosnell, Timothy J. Tschaplinski, C. Neal Stewart

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The aqueous extract of yerba mate, a South American tea beverage made from Ilex paraguariensis leaves, has demonstrated bactericidal and inhibitory activity against bacterial pathogens, including methicillin-resistant Staphylococcus aureus (MRSA). The gas chromatography- mass spectrometry (GC-MS) analysis of two unique fractions of yerba mate aqueous extract revealed 8 identifiable small molecules in those fractions with antimicrobial activity. For a more comprehensive analysis, a data analysis pipeline was assembled to prioritize compounds for antimicrobial testing against both MRSA and methicillin-sensitive S. aureus using forty-two unique fractions of the tea extract that were generated in duplicate, assayed for activity, and analyzed with GC-MS. As validation of our automated analysis, we checked our predicted active compounds for activity in literature references and used authentic standards to test for antimicrobial activity. 3,4-dihydroxybenzaldehyde showed the most antibacterial activity against MRSA at low concentrations in our bioassays. In addition, quinic acid and quercetin were identified using random forests analysis and 5-hydroxy pipecolic acid was identified using linear discriminant analysis. We also generated a ranked list of unidentified compounds that may contribute to the antimicrobial activity of yerba mate against MRSA. Here we utilized GC-MS data to implement an automated analysis that resulted in a ranked list of compounds that likely contribute to the antimicrobial activity of aqueous yerba mate extract against MRSA.

Original languageEnglish
Article numbere0123925
JournalPLoS ONE
Volume10
Issue number5
DOIs
StatePublished - May 1 2015

Funding

We would like to thank Nancy Engle (NLE) at ORNL for her assistance with and advice for running GC-MS. We thank Steven Ripp for sharing bacteria strains. This research was supported by the NSF-IGERT program SCALE-IT, the Ivan Racheff Chair of Excellence endowment, and the Tennessee Agricultural Experiment Station. TJT and NLE were supported by the Genomic Science Program (project ‘Plant-Microbe Interactions’), U.S. Department of Energy, Office of Science, Biological and Environmental Research under the contract DE-AC05-00OR22725.

Fingerprint

Dive into the research topics of 'Computational ranking of yerba mate small molecules based on their predicted contribution to antibacterial activity against methicillin-resistant staphylococcus aureus'. Together they form a unique fingerprint.

Cite this