Journal: New Biotechnology

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Elsevier

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1871-6784
1876-4347

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Publications 1 - 10 of 22
  • Peroxidation of pollutants via hemoglobin and highlighting of a novel catalase-like activity
    Item type: Other Conference Item
    Laveille, Paco; Drone, J.; Bailly, C.; et al. (2009)
    New Biotechnology ~ Abstracts of the 14th European Congress on Biotechnology
  • High-throughput nL-reactor screening for antimicrobial peptides
    Item type: Other Conference Item
    Schmitt, Steven; Lopez, Manuel M.; Kuipers, Oscar; et al. (2014)
    New Biotechnology
  • Autotrophic adaptive laboratory evolution of the acetogen Clostridium autoethanogenum delivers the gas-fermenting strain LAbrini with superior growth, products, and robustness
    Item type: Journal Article
    Ingelman, Henri; Heffernan, James K.; Harris, Audrey; et al. (2024)
    New Biotechnology
    Microbes able to convert gaseous one -carbon (C1) waste feedstocks are increasingly important to transition to the sustainable production of renewable chemicals and fuels. Acetogens are interesting biocatalysts since gas fermentation using Clostridium autoethanogenum has been commercialised. However, most acetogen strains need complex nutrients, display slow growth, and are not robust for bioreactor fermentations. In this work, we used three different and independent adaptive laboratory evolution (ALE) strategies to evolve the wild -type C. autoethanogenum to grow faster, without yeast extract and to be robust in operating continuous bioreactor cultures. Multiple evolved strains with improved phenotypes were isolated on minimal media with one strain, named " LAbrini " , exhibiting superior performance regarding the maximum specific growth rate, product profile, and robustness in continuous cultures. Whole-genome sequencing of the evolved strains identified 25 mutations. Of particular interest are two genes that acquired seven different mutations across the three ALE strategies, potentially as a result of convergent evolution. Reverse genetic engineering of mutations in potentially sporulation-related genes CLAU_3129 ( spo0A ) and CLAU_1957 recovered all three superior features of our ALE strains through triggering significant proteomic rearrangements. This work provides a robust C. autoethanogenum strain " LAbrini " to accelerate phenotyping and genetic engineering and to better understand acetogen metabolism.
  • Why do the biotechnology and the climate change debates hardly mix?
    Item type: Journal Article
    Aerni, Philipp (2013)
    New Biotechnology
  • Wheat-germ cell-free production of prion proteins for solid-state NMR structural studies
    Item type: Journal Article
    Noirot, Claire; Habenstein, Birgit; Bousset, Luc; et al. (2011)
    New Biotechnology
  • Novel technology for high throughput processing of microbial libraries for screening applications
    Item type: Journal Article
    Walser, M.; Held, M. (2009)
    New Biotechnology
  • In-line monitoring of thermal degradation of PHA during melt-processing by Near-Infrared spectroscopy
    Item type: Journal Article
    Montano-Herrera, Liliana; Pratt, Steven; Arcos-Hernandez, Monica V.; et al. (2014)
    New Biotechnology
  • Machine learning reveals novel compound for the improved production of chitooligosaccharides in Escherichia coli
    Item type: Journal Article
    Mey, Friederike; De Waele, Gaetan; Demeester, Wouter; et al. (2025)
    New Biotechnology
    In order to improve predictability of outcome and reduce costly rounds of trial-and-error, machine learning models have been of increasing importance in the field of synthetic biology. Besides applications in predicting genome annotation, process parameters and transcription initiation frequency, such models have also been of help for pathway optimization. The latter is a common strategy in metabolic engineering and improves the production of a desirable compound by optimizing enzyme expression levels of the production pathway. However, engineering steps might not lead to sufficient improvement, and bottlenecks may remain hidden among the hundreds of metabolic reactions occurring in a living cell, especially if the production pathway is highly interconnected with other parts of the cell's metabolism. Here, we use the synthesis of chitooligosaccharides (COS) to show that the production from such complex pathways can be improved by using machine learning models and feature importance analysis to find new compounds with an impact on COS production. We screened Escherichia coli libraries of engineered transcription regulators with an expected broad range of metabolic diversity and trained several machine learning models to predict COS production titers. Subsequent feature analysis led to the finding of iron, whose addition we could show improved COS production in vivo up to two-fold. Additionally, the analysis revealed important clues for future engineering steps.
  • Functional proteomics
    Item type: Journal Article
    Bischof, S.; Reiland, Sonja; Baerenfaller, Katja; et al. (2009)
    New Biotechnology
  • Lessons from Golden Rice on public sector responsibility and failure
    Item type: Journal Article
    Potrykus, I. (2009)
    New Biotechnology
Publications 1 - 10 of 22