Individual effect of shear rate and oxygen transfer on clavulanic acid production by Streptomyces clavuligerus

Identification of Small RNAs in Streptomyces clavuligerus Using High-Resolution Transcriptomics and Expression Profiling During Clavulanic Acid Production

Small non-coding RNAs play a pivotal role in regulating various metabolic processes in both prokaryotic and eukaryotic organisms. However, knowledge about small RNAs (sRNAs) in Streptomyces clavuligerus (S. clavuligerus) is scarce. This study aimed to use cutting-edge bioinformatics tools and a compendium of RNA-seq data to predict the potential coding of sRNAs that might be present in the genome of S. clavuligerus ATCC 27064. In the genome of S. clavuligerus, 606 intergenic regions (IGRs) are conserved, and 272 possess a highly thermodynamically stable and conserved secondary structure, indicating the presence of non-coding RNA in these regions. The transcriptome assembly of S. clavuligerus showed that the genome is completely functional, as all the annotated genes are expressed under the conditions analyzed. From this assembly, transcripts originating from IGRs were labeled as putative sRNAs, and their differential expression during the growth curve of S. clavuligerus for clavulanic acid (CA) production was established. The interactome of these differentially expressed (DE) RNAs displayed the sRNAs as global regulators, as they can have multiple mRNA targets. The functional annotation of the target genes of DE sRNAs demonstrated that they are directly involved in secondary metabolite production. Specifically, two sRNA have the genes of the biosynthetic gene cluster of CA as targets. Thus, these molecules add an additional layer to the regulatory cascade for CA biosynthesis, and we propose them as targets for metabolic engineering to increase CA production.

Effect of impeller type on cellular morphology and production of clavulanic acid by Streptomyces clavuligerus

It is essential to evaluate the effects of operating conditions in submerged cultures of filamentous microorganisms. In particular, the impeller type influences the flow pattern, power consumption, and energy dissipation, leading to differences in the hydrodynamic environment that affect the morphology of the microorganism. This work investigated the effect of different impeller types, namely the Rushton turbine (RT-RT) and Elephant Ear impellers in up-pumping (EEUP) and down-pumping (EEDP) modes, on cellular morphology and clavulanic acid (CA) production by Streptomyces clavuligerus in a stirred-tank bioreactor. At 800 rpm and 0.5 vvm, the cultivations performed using RT-RT and EEUP impellers provided higher shear conditions and oxygen transfer rates than those observed with EEDP. These conditions resulted in higher clavulanic acid production using RT-RT (380.7 mg/L) and EEUP (453.3 mg/L) impellers, compared to EEDP (196.6 mg/L). Although the maximum CA concentration exhibited the same order of magnitude for RT-RT and EEUP impellers, the latter presented 40% of the specific power consumption (4.9 kW/m3) compared to the classical RT-RT (12.0 kW/m3). The specific energy for CA production ( E CA ), defined as the energy cost to produce 1 mg of CA, was 3.5 times lower using the EEUP impeller (1.91 kJ/mgCA) when compared to RT-RT (5.91 kJ/mgCA). Besides, the specific energy for O2 transfer ( E O 2 ), the energy required to transfer 1 mmol of O2, was 2.3 times lower comparing the EEUP impeller (3.28 kJ/mmolO2) to RT-RT (7.65 kJ/mmolO2). The results demonstrated the importance of choosing the most suitable impeller configuration in conventional bioreactors to manufacture bioproducts.

Genome-guided approaches and evaluation of the strategies to influence bioprocessing assisted morphological engineering of Streptomyces cell factories

Streptomyces genera serve as adaptable cell factories for secondary metabolites with various and distinctive chemical structures that are relevant to the pharmaceutical industry. Streptomyces' complex life cycle necessitated a variety of tactics to enhance metabolite production. Identification of metabolic pathways, secondary metabolite clusters, and their controls have all been accomplished using genomic methods. Besides this, bioprocess parameters were also optimized for the regulation of morphology. Kinase families were identified as key checkpoints in the metabolic manipulation (DivIVA, Scy, FilP, matAB, and AfsK) and morphology engineering of Streptomyces. This review illustrates the role of different physiological variables during fermentation in the bioeconomy coupled with genome-based molecular characterization of biomolecules responsible for secondary metabolite production at different developmental stages of the Streptomyces life cycle.