Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data
Actinobacteria produce active secondary metabolite with medicinal properties, such as antibacterial or anticancer. However, there are some reports about the difficulties in discovering novel secondary metabolites. Therefore, the need for a new approach is obvious. Several factors such as types of nu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2022
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| Online Access: | http://journalarticle.ukm.my/19480/ http://journalarticle.ukm.my/19480/1/16.pdf |
| _version_ | 1848814852973264896 |
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| author | Maya Dian Rakhmawatie, Mustofa, Puspita Lisdiyanti, Pratiwi, Woro Rukmi Wibawa, Tri |
| author_facet | Maya Dian Rakhmawatie, Mustofa, Puspita Lisdiyanti, Pratiwi, Woro Rukmi Wibawa, Tri |
| author_sort | Maya Dian Rakhmawatie, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Actinobacteria produce active secondary metabolite with medicinal properties, such as antibacterial or anticancer. However, there are some reports about the difficulties in discovering novel secondary metabolites. Therefore, the need for a new approach is obvious. Several factors such as types of nutrients in the culture media or different solvents used for extraction have been proven to influence the Actinobacteria secondary metabolite production. In this study, a combination of culture media optimization and metabolites fingerprint analysis were applied to identify antimycobacterial active compounds from Actinobacteria (InaCC A758). Five culture media were used in the secondary metabolite production of the Actinobacteria. The metabolite fingerprinting was carried out by analyzing the secondary metabolite profile extracted from culture media optimization using UPLC-MS. Multivariate analysis, i.e. cluster analysis and principal component analysis (PCA) was applied. The result showed that a unique antimycobacterial compound candidate against Mycobacterium smegmatis was produced by SYP media cultured InaCC A758 (MIC 6.25 μg/mL). |
| first_indexed | 2025-11-15T00:40:41Z |
| format | Article |
| id | oai:generic.eprints.org:19480 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:40:41Z |
| publishDate | 2022 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:194802022-08-26T01:50:04Z http://journalarticle.ukm.my/19480/ Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data Maya Dian Rakhmawatie, Mustofa, Puspita Lisdiyanti, Pratiwi, Woro Rukmi Wibawa, Tri Actinobacteria produce active secondary metabolite with medicinal properties, such as antibacterial or anticancer. However, there are some reports about the difficulties in discovering novel secondary metabolites. Therefore, the need for a new approach is obvious. Several factors such as types of nutrients in the culture media or different solvents used for extraction have been proven to influence the Actinobacteria secondary metabolite production. In this study, a combination of culture media optimization and metabolites fingerprint analysis were applied to identify antimycobacterial active compounds from Actinobacteria (InaCC A758). Five culture media were used in the secondary metabolite production of the Actinobacteria. The metabolite fingerprinting was carried out by analyzing the secondary metabolite profile extracted from culture media optimization using UPLC-MS. Multivariate analysis, i.e. cluster analysis and principal component analysis (PCA) was applied. The result showed that a unique antimycobacterial compound candidate against Mycobacterium smegmatis was produced by SYP media cultured InaCC A758 (MIC 6.25 μg/mL). Penerbit Universiti Kebangsaan Malaysia 2022-05 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/19480/1/16.pdf Maya Dian Rakhmawatie, and Mustofa, and Puspita Lisdiyanti, and Pratiwi, Woro Rukmi and Wibawa, Tri (2022) Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data. Sains Malaysiana, 51 (5). pp. 1465-1473. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid51bil5_2022/KandunganJilid51Bil5_2022.html |
| spellingShingle | Maya Dian Rakhmawatie, Mustofa, Puspita Lisdiyanti, Pratiwi, Woro Rukmi Wibawa, Tri Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data |
| title | Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data |
| title_full | Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data |
| title_fullStr | Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data |
| title_full_unstemmed | Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data |
| title_short | Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data |
| title_sort | identification of antimycobacterial from actinobacteria (inacc a758) secondary metabolites using metabolomics data |
| url | http://journalarticle.ukm.my/19480/ http://journalarticle.ukm.my/19480/ http://journalarticle.ukm.my/19480/1/16.pdf |