A simple method for rapid screening of biosurfactant-producing strains using bromothymol blue alone

Ong, Shufen Angeline; Wu, Jin

doi:10.1016/j.bcab.2018.07.027

Cited by 18 publications

(8 citation statements)

References 28 publications

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“…This leads to a more sensitive and stable procedure. However, another color shift approach has been developed based only on the interaction between bromothymol blue solution and lipopeptides (Ong and Wu, 2018 ). However, since they are not specific for surfactin, the best and most sensitive quantification method is still the use of reversed phase HPLC-UV or MS (Geissler et al, 2017 ).…”

Section: Productionmentioning

confidence: 99%

The Surfactin-Like Lipopeptides From Bacillus spp.: Natural Biodiversity and Synthetic Biology for a Broader Application Range

Théatre

Cano-Prieto

Bartolini

et al. 2021

Front. Bioeng. Biotechnol.

118

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Surfactin is a lipoheptapeptide produced by several Bacillus species and identified for the first time in 1969. At first, the biosynthesis of this remarkable biosurfactant was described in this review. The peptide moiety of the surfactin is synthesized using huge multienzymatic proteins called NonRibosomal Peptide Synthetases. This mechanism is responsible for the peptide biodiversity of the members of the surfactin family. In addition, on the fatty acid side, fifteen different isoforms (from C12 to C17) can be incorporated so increasing the number of the surfactin-like biomolecules. The review also highlights the last development in metabolic modeling and engineering and in synthetic biology to direct surfactin biosynthesis but also to generate novel derivatives. This large set of different biomolecules leads to a broad spectrum of physico-chemical properties and biological activities. The last parts of the review summarized the numerous studies related to the production processes optimization as well as the approaches developed to increase the surfactin productivity of Bacillus cells taking into account the different steps of its biosynthesis from gene transcription to surfactin degradation in the culture medium.

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Section: Productionmentioning

confidence: 99%

The Surfactin-Like Lipopeptides From Bacillus spp.: Natural Biodiversity and Synthetic Biology for a Broader Application Range

Théatre

Cano-Prieto

Bartolini

et al. 2021

Front. Bioeng. Biotechnol.

118

View full text Add to dashboard Cite

show abstract

“…Although a few colourimetric methods have been developed for surfactin and general lipopeptide quantification [54][55][56][57][58], we opted for mass spectrometry to provide a direct platform for the optimisation and it can therefore be generalised to compounds where a colourimetric/biosensor methods do not exist. This method was developed specifically for the experiment, given its ability to measure a single sample within 2 minutes and a full 96-well microplate in approximately 3 hours, thus streamlining the process.…”

Section: Resultsmentioning

confidence: 99%

Optimisation of surfactin yield inBacillususing active learning and high-throughput mass spectrometry

Albornoz,

Oyarzún,

Burgess

2024

Preprint

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Integration of machine learning and high throughput measurements are essential to drive the next generation of the design-build-test-learn (DBTL) cycle in synthetic biology. Here, we report the use of active learning in combination with metabolomics for optimising production of surfactin, a complex lipopeptide resulting from a non-ribosomal assembly pathway. We designed a media optimisation algorithm that iteratively learns the yield landscape and steers the media composition toward maximal production. The algorithm led to a 160% yield increase after three DBTL runs as compared to an M9 baseline. Metabolomics data helped to elucidate the underpinning biochemistry for yield improvement and revealed Pareto-like trade-offs in production of other lipopeptides from related pathways. We found positive associations between organic acids and surfactin, suggesting a key role of central carbon metabolism, as well as system-wide anisotropies in how metabolism reacts to shifts in carbon and nitrogen levels. Our framework offers a novel data-driven approach to improve yield of biological products with complex synthesis pathways that are not amenable to traditional yield optimisation strategies.

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“…S1 ). Although a few colourimetric methods have been developed for surfactin and general lipopeptide quantification [55] , [56] , [57] , [58] , [59] , we opted for mass spectrometry to provide a direct platform for the optimisation and it can therefore be generalised to compounds where a colourimetric/biosensor methods do not exist. This method was developed specifically for the experiment, given its ability to measure a single sample within 2 min and a full 96-well microplate in approximately 3 h, thus streamlining the process.…”

Section: Resultsmentioning

confidence: 99%

Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry

Albornoz,

Oyarzún,

Burgess

2024

Computational and Structural Biotechnology Journal

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A simple method for rapid screening of biosurfactant-producing strains using bromothymol blue alone

Cited by 18 publications

References 28 publications

The Surfactin-Like Lipopeptides From Bacillus spp.: Natural Biodiversity and Synthetic Biology for a Broader Application Range

The Surfactin-Like Lipopeptides From Bacillus spp.: Natural Biodiversity and Synthetic Biology for a Broader Application Range

Optimisation of surfactin yield inBacillususing active learning and high-throughput mass spectrometry

Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry

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