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Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach

Indonesia is one of the most biodiverse countries in the world and a promising resource for novel natural compound producers. Actinomycetes produce about two thirds of all clinically used antibiotics. Thus, exploiting Indonesia’s microbial diversity for actinomycetes may lead to the discovery of nov...

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Autores principales: Handayani, Ira, Saad, Hamada, Ratnakomala, Shanti, Lisdiyanti, Puspita, Kusharyoto, Wien, Krause, Janina, Kulik, Andreas, Wohlleben, Wolfgang, Aziz, Saefuddin, Gross, Harald, Gavriilidou, Athina, Ziemert, Nadine, Mast, Yvonne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227522/
https://www.ncbi.nlm.nih.gov/pubmed/34071728
http://dx.doi.org/10.3390/md19060316
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author Handayani, Ira
Saad, Hamada
Ratnakomala, Shanti
Lisdiyanti, Puspita
Kusharyoto, Wien
Krause, Janina
Kulik, Andreas
Wohlleben, Wolfgang
Aziz, Saefuddin
Gross, Harald
Gavriilidou, Athina
Ziemert, Nadine
Mast, Yvonne
author_facet Handayani, Ira
Saad, Hamada
Ratnakomala, Shanti
Lisdiyanti, Puspita
Kusharyoto, Wien
Krause, Janina
Kulik, Andreas
Wohlleben, Wolfgang
Aziz, Saefuddin
Gross, Harald
Gavriilidou, Athina
Ziemert, Nadine
Mast, Yvonne
author_sort Handayani, Ira
collection PubMed
description Indonesia is one of the most biodiverse countries in the world and a promising resource for novel natural compound producers. Actinomycetes produce about two thirds of all clinically used antibiotics. Thus, exploiting Indonesia’s microbial diversity for actinomycetes may lead to the discovery of novel antibiotics. A total of 422 actinomycete strains were isolated from three different unique areas in Indonesia and tested for their antimicrobial activity. Nine potent bioactive strains were prioritized for further drug screening approaches. The nine strains were cultivated in different solid and liquid media, and a combination of genome mining analysis and mass spectrometry (MS)-based molecular networking was employed to identify potential novel compounds. By correlating secondary metabolite gene cluster data with MS-based molecular networking results, we identified several gene cluster-encoded biosynthetic products from the nine strains, including naphthyridinomycin, amicetin, echinomycin, tirandamycin, antimycin, and desferrioxamine B. Moreover, 16 putative ion clusters and numerous gene clusters were detected that could not be associated with any known compound, indicating that the strains can produce novel secondary metabolites. Our results demonstrate that sampling of actinomycetes from unique and biodiversity-rich habitats, such as Indonesia, along with a combination of gene cluster networking and molecular networking approaches, accelerates natural product identification.
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spelling pubmed-82275222021-06-26 Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach Handayani, Ira Saad, Hamada Ratnakomala, Shanti Lisdiyanti, Puspita Kusharyoto, Wien Krause, Janina Kulik, Andreas Wohlleben, Wolfgang Aziz, Saefuddin Gross, Harald Gavriilidou, Athina Ziemert, Nadine Mast, Yvonne Mar Drugs Article Indonesia is one of the most biodiverse countries in the world and a promising resource for novel natural compound producers. Actinomycetes produce about two thirds of all clinically used antibiotics. Thus, exploiting Indonesia’s microbial diversity for actinomycetes may lead to the discovery of novel antibiotics. A total of 422 actinomycete strains were isolated from three different unique areas in Indonesia and tested for their antimicrobial activity. Nine potent bioactive strains were prioritized for further drug screening approaches. The nine strains were cultivated in different solid and liquid media, and a combination of genome mining analysis and mass spectrometry (MS)-based molecular networking was employed to identify potential novel compounds. By correlating secondary metabolite gene cluster data with MS-based molecular networking results, we identified several gene cluster-encoded biosynthetic products from the nine strains, including naphthyridinomycin, amicetin, echinomycin, tirandamycin, antimycin, and desferrioxamine B. Moreover, 16 putative ion clusters and numerous gene clusters were detected that could not be associated with any known compound, indicating that the strains can produce novel secondary metabolites. Our results demonstrate that sampling of actinomycetes from unique and biodiversity-rich habitats, such as Indonesia, along with a combination of gene cluster networking and molecular networking approaches, accelerates natural product identification. MDPI 2021-05-28 /pmc/articles/PMC8227522/ /pubmed/34071728 http://dx.doi.org/10.3390/md19060316 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Handayani, Ira
Saad, Hamada
Ratnakomala, Shanti
Lisdiyanti, Puspita
Kusharyoto, Wien
Krause, Janina
Kulik, Andreas
Wohlleben, Wolfgang
Aziz, Saefuddin
Gross, Harald
Gavriilidou, Athina
Ziemert, Nadine
Mast, Yvonne
Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach
title Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach
title_full Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach
title_fullStr Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach
title_full_unstemmed Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach
title_short Mining Indonesian Microbial Biodiversity for Novel Natural Compounds by a Combined Genome Mining and Molecular Networking Approach
title_sort mining indonesian microbial biodiversity for novel natural compounds by a combined genome mining and molecular networking approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8227522/
https://www.ncbi.nlm.nih.gov/pubmed/34071728
http://dx.doi.org/10.3390/md19060316
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