Improving Surfactin Production in Bacillus subtilis 168 by Metabolic Engineering

Guo, Zihao; Sun, Jiuyu; Ma, Qinyuan; Li, Mengqi; Dou, Yamin; Yang, Shaomei; Gao, Xiuzhen

doi:10.3390/microorganisms12050998

Cited by 3 publications

(1 citation statement)

References 57 publications

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“…This designation requires substantial scientific data demonstrating that the substance is safe under its intended conditions of use. Some biosurfactants, such as surfactin and rhamnolipid, have already achieved GRAS status and are widely used in the food industry as emulsifiers, stabilizers, and detergents (Guo et al, 2024;Sharma et al, 2023). The regulatory process for new biosurfactants involves thorough evaluations of their safety, stability, and efficacy.…”

Section: Biosurfactantmentioning

confidence: 99%

Green approaches for biofilm eradication: Enhancing cleaning efficiency

Mechmechani,

Jha,

Karam

et al. 2024

Journal of Food Safety

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Cleaning up biocontamination from surfaces is a critical aspect of maintaining a hygienic environment. Traditional cleaning methods often fall short when it comes to eliminating persistent biofilms and resilient bacteria. In recent years, alternative approaches utilizing antibiofilm enzymes, bacteriophages, essential oils (EOs), antibacterial peptides, and biosurfactants have emerged as promising strategies to combat biocontamination. This article explores the efficiency of these agents in targeting and eradicating biofilms, highlighting their mechanisms of action and potential applications. By leveraging the unique properties of these materials, we can enhance cleaning practices and improve public health outcomes by effectively eliminating biocontamination from various surfaces.

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Section: Biosurfactantmentioning

confidence: 99%

Green approaches for biofilm eradication: Enhancing cleaning efficiency

Mechmechani,

Jha,

Karam

et al. 2024

Journal of Food Safety

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The influence of growth rate-controlling feeding strategy on the surfactin production in Bacillus subtilis bioreactor processes

Hiller,

Off,

Hermann

et al. 2024

Microb Cell Fact

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Background The production of surfactin, an extracellular accumulating lipopeptide produced by various Bacillus species, is a well-known representative of microbial biosurfactant. However, only limited information is available on the correlation between the growth rate of the production strain, such as B. subtilis BMV9, and surfactin production. To understand the correlation between biomass formation over time and surfactin production, the availability of glucose as carbon source was considered as main point. In fed-batch bioreactor processes, the B. subtilis BMV9 was used, a strain well-suited for high cell density fermentation. By adjusting the exponential feeding rates, the growth rate of the surfactin-producing strain, was controlled. Results Using different growth rates in the range of 0.075 and 0.4 h-1, highest surfactin titres of 36 g/L were reached at 0.25 h-1 with production yields YP/S of 0.21 g/g and YP/X of 0.7 g/g, while growth rates lower than 0.2 h-1 resulted in insufficient and slowed biomass formation as well as surfactin production (YP/S of 0.11 g/g and YP/X of 0.47 g/g for 0.075 h-1). In contrast, feeding rates higher than 0.25 h-1 led to a stimulation of overflow metabolism, resulting in increased acetate formation of up to 3 g/L and an accumulation of glucose due to insufficient conversion, leading to production yields YP/S of 0.15 g/g and YP/X of 0.46 g/g for 0.4 h-1. Conclusions Overall, the parameter of adjusting exponential feeding rates have an important impact on the B. subtilis productivity in terms of surfactin production in fed-batch bioreactor processes. A growth rate of 0.25 h-1 allowed the highest surfactin production yield, while the total conversion of substrate to biomass remained constant at the different growth rates.

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In Vivo Quantification of Surfactin Nonribosomal Peptide Synthetase Complexes in Bacillus subtilis

Vahidinasab,

Thewes,

Abrishamchi

et al. 2024

Microorganisms

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Surfactin, a potent biosurfactant produced by Bacillus subtilis, is synthesized using a non-ribosomal peptide synthetase (NRPS) encoded by the srfAA-AD operon. Despite its association with quorum sensing via the ComX pheromone, the dynamic behavior and in vivo quantification of the NRPS complex remain underexplored. This study established an in vivo quantification system using fluorescence labeling to monitor the availability of surfactin-forming NRPS subunits (SrfAA, SrfAB, SrfAC, and SrfAD) during bioprocesses. Four Bacillus subtilis sensor strains were constructed by fusing these subunits with the megfp gene, resulting in strains BMV25, BMV26, BMV27, and BMV28. These strains displayed growth and surfactin productivity similar to those of the parental strain, BMV9. Fluorescence signals indicated varying NRPS availability, with BMV27 showing the highest and BMV25 showing the lowest relative fluorescence units (RFUs). RFUs were converted to the relative number of NRPS molecules using open-source FPCountR package. During bioprocesses, NRPS availability peaked at the end of the exponential growth phase and declined in the stationary phase, suggesting reduced NRPS productivity under nutrient-limited conditions and potential post-translational regulation. This study provides a quantitative framework for monitoring NRPS dynamics in vivo, offering insights into optimizing surfactin production. The established sensor strains and quantification system enable the real-time monitoring of NRPS availability, aiding bioprocess optimization for industrial applications of surfactin and potentially other non-ribosomal peptides.

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Improving Surfactin Production in Bacillus subtilis 168 by Metabolic Engineering

Cited by 3 publications

References 57 publications

Green approaches for biofilm eradication: Enhancing cleaning efficiency

Green approaches for biofilm eradication: Enhancing cleaning efficiency

The influence of growth rate-controlling feeding strategy on the surfactin production in Bacillus subtilis bioreactor processes

In Vivo Quantification of Surfactin Nonribosomal Peptide Synthetase Complexes in Bacillus subtilis

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