Literature DB >> 34662717

Genome mining of biosynthetic gene clusters intended for secondary metabolites conservation in actinobacteria.

Karthick Raja Arulprakasam1, Dhanasekaran Dharumadurai2.   

Abstract

Evolution of genome sequencing technology, on the one hand, and advancement of computational genome mining tools, on the other hand, paves way for improvement in predicting secondary metabolites. In past, numerous efforts were made concerning genome mining for recognizing secondary metabolites within the genus, but only a negligible quantity of comparative genomic reports had carried out among species of different genera. In this study, we explored potential of 24 actinobacteria species belonging to the genera, including Streptomyces, Nocardia, Micromonospora, and Saccharomonospora, to traverse diversity and distribution of Biosynthetic Gene Clusters (BGCs). Investigating results obtained from antiSMASH (Antibiotics and Secondary Metabolites Analysis Shell), NaPDoS (Natural Product Domain Seeker), and NP.searcher revealed conservation of genus-specific gene clusters among various species. E.g., NAGGN (n-acetyl glutaminyl glutamine amide) is present in Micromonospora, furan in Nocardia, melanin, and lassopeptide occur in Streptomyces. Bioactive compounds like alkyl-O-dihydro geranyl methoxy hydroquinone, SapB, desferrioxamine E, 2-Methylisoborneol, mayamycin, cyclodipeptide synthase, diisonitrile, salinichelin, hopene, ectoine and isorenieratene are highly conserved among diverse genera. Furthermore, pharmacological activity of actinobacterial derived metabolites against bacterial and fungal pathogens were illustrated. We need to accomplish large-scale analysis of natural products, including various genera of actinobacteria to deliver comprehensive intuition to overcome antibiotic resistance.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anti-microbial resistance; Biosynthetic gene cluster; Genome mining; Non-ribosomal peptide synthetases; Polyketide synthases; Secondary metabolites

Mesh:

Year:  2021        PMID: 34662717     DOI: 10.1016/j.micpath.2021.105252

Source DB:  PubMed          Journal:  Microb Pathog        ISSN: 0882-4010            Impact factor:   3.738


  2 in total

1.  Genome-based reclassification of Actinopolyspora righensis Meklat et al. 2013 as a later heterotypic synonym of Actinopolyspora lacussalsi Guan et al. 2013 and description of Actinopolyspora lacussalsi subsp. lacussalsi subsp. nov. and Actinopolyspora lacussalsi subsp. righensis subsp. nov.

Authors:  Rafika Saker; Noureddine Bouras; Atika Meklat; Michael D Holtz; Hans-Peter Klenk; Imen Nouioui
Journal:  Arch Microbiol       Date:  2022-07-18       Impact factor: 2.667

2.  Complete Genome Sequence of Two Deep-Sea Streptomyces Isolates from Madeira Archipelago and Evaluation of Their Biosynthetic Potential.

Authors:  Pedro Albuquerque; Inês Ribeiro; Sofia Correia; Ana Paula Mucha; Paula Tamagnini; Andreia Braga-Henriques; Maria de Fátima Carvalho; Marta V Mendes
Journal:  Mar Drugs       Date:  2021-11-01       Impact factor: 5.118

  2 in total

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