Actinobacteria

Microbiology to Synthetic Biology

Loganathan Karthik (Hrsg.)

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Biochemie, Biophysik

Beschreibung

This book summarizes the basics of actinobacteria, from microbiology to synthetic biology. It focuses on diversity, NRPS, sesquiterpenes, lantipeptide, bioinformatics apparatuses, cloning, CRISPR, reverse engineering, FDA supported medications, and marine actinobacteria. It also covers the latest trends in drug discovery from actinobacteria, and introduces several recently developed bioinformatics and synthetic biology tools to explore new antibiotics from actinobacteria.

Many natural products such as polyketides, isoprenoids, phenazines, peptides, indolocarbarbazoles, sterols, and others have been isolated and characterized from actinobacteria. Some products are synthesized by the non-ribosomal peptide synthetases (NRPSs), polyketide synthases (PKSs), or other functional genes. Although genome sequencing has uncovered the differing qualities of these chemicals, recognizing new items and their biosynthetic pathways is still under examination.

Cryptic metabolic pathwayshave been explored using molecular techniques or culture-dependent approaches. In recent years, researchers’ primary interest is to identify the specific conditions or agents that wake the cryptic antibiotics. Several bioinformatics and synthetic biology tools were developed to explore new antibiotics from actinobacteria.

The book comprises 14 chapters with different aspects of application and utilization of actinomycetes from the microbiology; systems biology, pharmacology of natural products, bioinformatics, actinomycete and its diversity, CRISPR, artificial Intelligence, synthetic biology, metabolic engineering, expressional studies, and biosynthetic gene clusters.

The book delivers useful information on actinomyces to researchers, novices in genome designing, specialists, clinicians, policymakers, and professionals.

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Schlagwörter

Diversity, Actinobacteria, Bioinformatics, Heterologous Expression, Genome Mining