Bibliographic Details
| Title: |
Identifying Antibacterial Compounds in Black Walnuts (Juglans nigra) Using a Metabolomics Approach |
| Authors: |
Khanh-Van Ho, Zhentian Lei, Lloyd W. Sumner, Mark V. Coggeshall, Hsin-Yeh Hsieh, George C. Stewart, Chung-Ho Lin |
| Source: |
Metabolites, Vol 8, Iss 4, p 58 (2018) |
| Publisher Information: |
MDPI AG, 2018. |
| Publication Year: |
2018 |
| Collection: |
LCC:Microbiology |
| Subject Terms: |
black walnut, Juglans nigra, antibacterial, metabolomics approach, compound identification, Microbiology, QR1-502 |
| More Details: |
Black walnut (Juglans nigra L.) is one of the most economically valuable hardwood species and a high value tree for edible nut production in the United States. Although consumption of black walnut has been linked to multiple health-promoting effects (e.g., antioxidant, antimicrobial, anti-inflammatory), the bioactive compounds have not been systematically characterized. In addition, the associations between different black walnut cultivars and their health-promoting compounds have not been well established. In this study, the kernels of twenty-two black walnut cultivars selected for nut production by the University of Missouri Center for Agroforestry (Columbia, MO, USA) were evaluated for their antibacterial activities using agar-well diffusion assay. Among the selected cultivars, four black walnut cultivars (i.e., Mystry, Surprise, D.34, and A.36) exhibited antibacterial activity against a Gram-positive bacterium (Staphylococcus aureus), whereas other cultivars showed no effect on the inhibition of this bacterium. The antibacterial compounds showing the strongest activity were isolated with bioassay-guided purification and identified using a metabolomics approach. Six antibacterial bioactive compounds responsible for antimicrobial activity were successfully identified. Glansreginin A, azelaic acid, quercetin, and eriodictyol-7-O-glucoside are novel antibacterial compounds identified in the kernels of black walnuts. The metabolomics approach provides a simple and cost-effective tool for bioactive compound identification. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2218-1989 |
| Relation: |
http://www.mdpi.com/2218-1989/8/4/58; https://doaj.org/toc/2218-1989 |
| DOI: |
10.3390/metabo8040058 |
| Access URL: |
https://doaj.org/article/33b969415af24751b23f4407c12b7e6e |
| Accession Number: |
edsdoj.33b969415af24751b23f4407c12b7e6e |
| Database: |
Directory of Open Access Journals |
