Project description:Plants have a long history of use for their medicinal properties. The complexity of botanical extracts presents unique challenges and necessitates the application of innovative approaches to correctly identify and quantify bioactive compounds. With this study, we employed untargeted metabolomics to explore the antimicrobial activity of the botanical Rumex crispus (yellow dock), a member of the Polygonaceae family that is used as an herbal remedy for bacterial infections. Ultra high-performance liquid chromatography coupled to high resolution mass-spectrometry (UPLC-MS) was used to identify and quantify the known antimicrobial compound emodin. In addition, we used biochemometric approaches to integrate data measuring antimicrobial activity from R. crispus root starting material and fractions against methicillin resistant Staphylococcus aureus (MRSA) with UPLC-MS data. Our results support the hypothesis that multiple constituents, including the anthraquinone emodin, contribute to the antimicrobial activity of R. crispus against MRSA.

2021-07-24 | MSV000087878 | MassIVE

Nematolebias whitei isolate:Nwh7

Project description:Nematolebias whitei genome sequence

| PRJNA560526 | ENA

Teleopsis whitei strain:Chang Mai

Project description:Teleopsis whitei testes RNAseq and Transcriptome assembly

| PRJNA241109 | ENA

Fingerprinting the Asterid species using subtracted diversity array reveals novel species-specific sequences.

Project description:Asterids is one of the major plant clades comprising of many commercially important medicinal species. One of the major concerns in medicinal plant industry is adulteration/contamination resulting from misidentification of herbal plants. This study reports the construction and validation of a microarray capable of fingerprinting medicinally important species from the Asterids clade.

2014-07-31 | GSE31242 | GEO

Seed-Antimicrobial

Project description:Seed-Antimicrobial

| PRJEB72729 | ENA

Mass spectrometry guided by transcriptomics reveals multiple classes of predicted antimicrobial peptides in Amaranthus tricolor

Project description:Traditional medicinal plants are rich reservoirs of antimicrobial agents, including antimicrobial peptides (AMPs). Herein, Amaranthus tricolor AMPs predicted in silico are identified via proteomics profiling. Bottom-up proteomics identified seven novel peptides spanning three AMP classes including lipid transfer proteins, snakins and defensins. Characterization via top-down peptidomic analysis of Atr-SN1, Atr-DEF1, and Atr-LTP1 revealed unexpected proteolytic processing and enumerated disulfide bonds. These results highlight the potential for integrating AMP prediction algorithms with complementary -omics approaches to accelerate characterization of biologically relevant AMP peptidoforms.

2021-04-08 | PXD022242 | Pride

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