Bacterial surface display of metal binding peptides as whole-cell biocatalysts for 4-nitroaniline reduction

Tsai, Dong Yu; Tsai, Yi Jung; Yen, Chia Ho; Ouyang, Chun Yu; Yeh, Yi Chun

doi:10.1039/c5ra18561k

Cited by 11 publications

(2 citation statements)

References 33 publications

(40 reference statements)

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“…The functions of FhuA, OmpA, Lpp-OmpA and IgA on the cell surface display of C. necator were compared, and quantitative research demonstrated that IgA was a more effective anchor protein than others. (Tsai et al 2015 ). Thus, IgA protease autotransporter was used in this study.…”

Section: Resultsmentioning

confidence: 99%

Construction of Cupriavidus necator displayed with superoxide dismutases for enhanced growth in bioelectrochemical systems

Chen

Cheng

et al. 2023

Bioresour. Bioprocess.

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It is of great significance to utilize CO2 as feedstock to synthesize biobased products, particularly single cell protein (SCP) as the alternative food and feed. Bioelectrochemical system (BES) driven by clean electric energy has been regarded as a promising way for Cupriavidus necator to produce SCP from CO2 directly. At present, the key problem of culturing C. necator in BES is that reactive oxygen species (ROS) generated in cathode chamber are harmful to bacterial growth. Therefore, it is necessary to find a solution to mitigate the negative effect of ROS. In this study, we constructed a number of C. necator strains displayed with superoxide dismutase (SOD), which allowed the decomposition of superoxide anion radical. The effects of promoters and signal peptides on the cell surface displayed SOD were analyzed. The proteins displayed on the surface were further verified by the fluorescence experiment. Finally, the growth of C. necator CMS incorporating a pBAD-SOD-E-tag-IgAβ plasmid could achieve 4.9 ± 1.0 of OD600 by 7 days, equivalent to 1.7 ± 0.3 g/L dry cell weight (DCW), and the production rate was 0.24 ± 0.04 g/L/d DCW, around 2.7-fold increase than the original C. necator CMS (1.8 ± 0.3 of OD600). This study can provide an effective and novel strategy of cultivating strains for the production of CO2-derived SCP or other chemicals in BES. Graphical Abstract

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Section: Resultsmentioning

confidence: 99%

Construction of Cupriavidus necator displayed with superoxide dismutases for enhanced growth in bioelectrochemical systems

Chen

Cheng

et al. 2023

Bioresour. Bioprocess.

View full text Add to dashboard Cite

show abstract

“…FhuA, OmpA, Lpp-OmpA and IgA were compared to function in cell surface display of C. necator, and quantitative research demonstrated that IgA was a more effective anchor protein than other. (Tsai et al 2015). Thus, IgA protease autotransporter was used in this study.…”

Section: Selection Of Surface Displayed Enzymesmentioning

confidence: 99%

Construction of Cupriavidus necator displayed with a superoxide dismutase for enhanced growth in bioelectrochemical systems

Chen

Cheng

et al. 2023

Preprint

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It is of great significance to utilize CO2 as feedstock to synthesize biobased products, particularly single cell protein (SCP) as the alternative food and feed. Bioelectrochemical system (BES) driven by clean electric energy has been regarded as a promising way for Cupriavidus necator to produce SCP from CO2 directly. At present, the key problem of growing C. necator in BES is that reactive oxygen species (ROS) generated in cathode chamber are harmful to bacterial growth. Therefore, it is necessary to find a solution to mitigate the negative effect of ROS. In this study, we constructed a number of C. necator strains displayed with superoxide dismutase (SOD), which allowed the decomposition of superoxide anion radical. The effects of promoter and signal peptide on cell surface display with SOD were analyzed. The protein displayed on the surface was further verified by the fluorescence experiment. Finally, the growth of C. necator CMS incorporating a pBAD-SOD-E-tag-IgAβ plasmid could achieve 4.9 ± 1.0 of OD600 by 7 days, equivalent to 1.7 ± 0.3 g/L dry cell weight (DCW), and the production rate was 0.24 ± 0.04 g/L/d DCW, around 2.7-fold increase than the C. necator CMS with surface display (1.8 ± 0.3 of OD600). This study can provide an effective and novel strategy of cultivating strains for the production of CO2-derived SCP or other chemicals in BES.

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Machine Learning‐Assisted Clustering of Nanoparticle‐Binding Peptides and Prediction of Their Properties

Kenry

2023

Advcd Theory and Sims

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Bioinspired and biomimetic nanostructures have attracted tremendous interest for theranostic and nanomedicine applications. Among the strategies employed to synthesize these nanostructures, surface functionalization and biomineralization of nanomaterials using peptides stand out due to the wide availability of peptides and their variations as well as the ease of modification process. Effective peptide‐based modification of nanomaterials relies on preferential and strong binding between peptides and target nanomaterials. Therefore, the discovery and design of specific peptides with high binding affinity to nanomaterials are essential. Unfortunately, conventional peptide screening methods suffer from shortcomings which render peptide discovery time‐consuming, expensive, and cumbersome. Herein, leveraging unsupervised and supervised machine learning, a framework to accelerate peptide analysis is presented. Specifically, more than 1700 nanoparticle‐binding peptides are classified into peptide clusters to identify important peptide features to realize higher‐affinity binding. In addition, the binding and biomineralization properties of peptides are predicted with high classification accuracy, precision, and recall. This work then proposes the use of unsupervised k‐means clustering and supervised k‐nearest neighbors algorithms for grouping peptides and predicting their properties, respectively. It is anticipated that the framework originated from this study will further facilitate the rational selection and design of peptides for engineering functional bioinspired and biomimetic nanostructures.

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Bacterial surface display of metal binding peptides as whole-cell biocatalysts for 4-nitroaniline reduction

Abstract: Using recombinant microorganisms expressing metal binding peptides as whole-cell biocatalysts for 4-nitroaniline reduction.

Cited by 11 publications

References 33 publications

Construction of Cupriavidus necator displayed with superoxide dismutases for enhanced growth in bioelectrochemical systems

Construction of Cupriavidus necator displayed with superoxide dismutases for enhanced growth in bioelectrochemical systems

Construction of Cupriavidus necator displayed with a superoxide dismutase for enhanced growth in bioelectrochemical systems

Machine Learning‐Assisted Clustering of Nanoparticle‐Binding Peptides and Prediction of Their Properties

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