Sains Malaysiana 51(5)(2022): 1465-1473

http://doi.org/10.17576/jsm-2022-5105-16

Identification of Antimycobacterial from Actinobacteria (INACC A758) Secondary Metabolites using Metabolomics Data

(Pengenalpastian Antimikobakteria daripada Metabolit Sekunder Aktinobakteria (INACC A758) menggunakan Data Metabolomik)

MAYA DIAN RAKHMAWATIE^1,2, MUSTOFA³, PUSPITA LISDIYANTI⁴, WORO RUKMI PRATIWI³ & TRI WIBAWA^5,*

¹Doctoral Program of Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

²Department of Biomedical Sciences, Faculty of Medicine, Universitas Muhammadiyah Semarang, Semarang 50273, Indonesia

³Department of Pharmacology and Therapy, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

⁴Research Center for Biotechnology, Indonesian Institute of Sciences, Cibinong, Bogor 16911, Indonesia

⁵Department of Microbiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

Diserahkan: 10 Julai 2020/Diterima: 8 Oktober 2021

Abstract

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).

Keywords: Actinobacteria; antimycobacterial; culture optimization; metabolite fingerprint; secondary metabolites

Abstrak

Aktinobakteria menghasilkan metabolit sekunder aktif dengan sifat perubatan, seperti antibakteria atau antikanser. Walau bagaimanapun, terdapat beberapa laporan tentang kesukaran untuk menemui metabolit sekunder yang novel. Oleh itu, keperluan untuk pendekatan baru adalah jelas. Beberapa faktor seperti jenis nutrien dalam media kultur atau pelarut berbeza yang digunakan untuk pengekstrakan telah terbukti mempengaruhi pengeluaran metabolit sekunder Aktinobakteria. Dalam kajian ini, gabungan pengoptimuman media kultur dan analisis cap jari metabolit digunakan untuk mengenal pasti sebatian aktif antimikobakteria daripada Aktinobakteria (InaCC A758). Lima media kultur digunakan dalam penghasilan metabolit sekunder Aktinobakteria. Cap jari metabolit telah dijalankan dengan menganalisis profil metabolit sekunder yang diekstrak daripada pengoptimuman media kultur menggunakan UPLC-MS. Analisis multivariat, iaitu analisis kelompok dan analisis komponen utama (PCA) telah digunakan. Keputusan menunjukkan bahawa sebatian antimikrobakteria unik terhadap Mycobacterium smegmatis dihasilkan oleh media SYP yang dikulturkan dengan InaCC A758 (MIC 6.25 µg/mL).

Kata kunci: Aktinobakteria; antimikobakteria; cap jari metabolit; metabolit sekunder; pengoptimuman budaya

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^*Pengarang untuk surat-menyurat; email: twibawa@ugm.ac.id