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Comprehensive genome analysis of Lentzea reveals repertoire of polymer-degrading enzymes and bioactive compounds with clinical relevance

The genus Lentzea is a rare group of actinobacteria having potential for the exploration of bioactive compounds. Despite its proven ability to produce compounds with medical relevance, Lentzea genome analysis remains unexplored. Here we show a detailed understanding of the genetic features, biosynth...

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Detalles Bibliográficos
Autores principales: Maiti, Pulak Kumar, Mandal, Sukhendu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120177/
https://www.ncbi.nlm.nih.gov/pubmed/35589875
http://dx.doi.org/10.1038/s41598-022-12427-7
Descripción
Sumario:The genus Lentzea is a rare group of actinobacteria having potential for the exploration of bioactive compounds. Despite its proven ability to produce compounds with medical relevance, Lentzea genome analysis remains unexplored. Here we show a detailed understanding of the genetic features, biosynthetic gene clusters (BGCs), and genetic clusters for carbohydrate-active enzymes present in the Lentzea genome. Our analysis determines the genes for core proteins, non-ribosomal peptide synthetase condensation domain, and polyketide synthases-ketide synthase domain. The antiSMASH-based sequence analysis identifies 692 BGCs among which 8% are identical to the BGCs that produce geosmin, citrulassin, achromosin (lassopeptide), vancosamine, anabaenopeptin NZ857/nostamide A, alkylresorcinol, BE-54017, and bezastatin. The remaining BGCs code for advanced category antimicrobials like calcium-dependent, glycosylated, terpenoids, lipopeptides, thiopeptide, lanthipeptide, lassopeptide, lingual antimicrobial peptide and lantibiotics together with antiviral, antibacterial, antifungal, antiparasitic, anticancer agents. About 28% of the BGCs, that codes for bioactive secondary metabolites, are exclusive in Lentzea and could lead to new compound discoveries. We also find 7121 genes that code for carbohydrate-degrading enzymes which could essentially convert a wide range of polymeric carbohydrates. Genome mining of such genus is very much useful to give scientific leads for experimental validation in the discovery of new-generation bioactive molecules of biotechnological importance.