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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...

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Main Authors: Maya Dian Rakhmawatie,, Mustofa,, Puspita Lisdiyanti,, Pratiwi, Woro Rukmi, Wibawa, Tri
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/19480/1/16.pdf
http://journalarticle.ukm.my/19480/
https://www.ukm.my/jsm/malay_journals/jilid51bil5_2022/KandunganJilid51Bil5_2022.html
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spelling my-ukm.journal.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
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
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).
format Article
author Maya Dian Rakhmawatie,
Mustofa,
Puspita Lisdiyanti,
Pratiwi, Woro Rukmi
Wibawa, Tri
spellingShingle Maya Dian Rakhmawatie,
Mustofa,
Puspita Lisdiyanti,
Pratiwi, Woro Rukmi
Wibawa, Tri
Identification of antimycobacterial from actinobacteria (INACC A758) secondary metabolites using metabolomics data
author_facet Maya Dian Rakhmawatie,
Mustofa,
Puspita Lisdiyanti,
Pratiwi, Woro Rukmi
Wibawa, Tri
author_sort Maya Dian Rakhmawatie,
title 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_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_sort identification of antimycobacterial from actinobacteria (inacc a758) secondary metabolites using metabolomics data
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2022
url http://journalarticle.ukm.my/19480/1/16.pdf
http://journalarticle.ukm.my/19480/
https://www.ukm.my/jsm/malay_journals/jilid51bil5_2022/KandunganJilid51Bil5_2022.html
_version_ 1743108006111870976
score 13.211869

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