The tropical marine actinomycete Nocardiopsis dassonvillei NCIM 5124 as novel source of ectoine: Genomic and transcriptomic insights.

Since ectoine is a high-value product, overviewing strategies for identifying novel microbial sources becomes relevant. In the current study, by following a genome mining approach, the ectoine biosynthetic cluster in a tropical marine strain of Nocardiopsis dassonvillei (NCIM 5124) was located and compared with related organisms. Transcriptome analysis of Control and Test samples (with 0 and 5% NaCl, respectively) was carried out to understand salt induced stress response at the molecular level.

Comprehensive updates on the biological features and metabolic potential of the versatile extremophilic actinomycete Nocardiopsis dassonvillei.

Nocardiopsis dassonvillei prevails under harsh environmental conditions and the purpose of this review is to highlight its biological features and recent biotechnological applications. The organism prevails in salt-rich soils/marine systems and some strains endure extreme temperatures and pH. A few isolates are associated with marine organisms and others cause human diseases.

Recent advances in production and applications of ectoine, a compatible solute of industrial relevance.

Extremophilic bacteria growing in saline ecosystems are potential producers of biotechnologically important products including compatible solutes. Ectoine/hydroxyectoine are two such solutes that protect cells and associated macromolecules from osmotic, heat, cold and UV stress without interfering with cellular functions. Since ectoine is a high value product, overviewing strategies for improving yields become relevant.

Whole-Genome Sequencing of the Tropical Marine Bacterium Nocardiopsis dassonvillei NCIM 5124, Containing the Ectoine Biosynthesis Gene Cluster .

The genome sequence (7,057,619 bp; GC content, 72.07%) of a tropical marine isolate, Nocardiopsis dassonvillei NCIM 5124, containing the biomedically and biotechnologically important gene cluster is reported here.

Benchmarking of 16S rRNA gene databases using known strain sequences.

16S rRNA gene analysis is the most convenient and robust method for microbiome studies. Inaccurate taxonomic assignment of bacterial strains could have deleterious effects as all downstream analyses rely heavily on the accurate assessment of microbial taxonomy. The use of mock communities to check the reliability of the results has been suggested.