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Can I read Biosensors in microalgae: A roadmap for new opportunities in synthetic biology and biotechnology on EtoBox?

Biosensors in microalgae: A roadmap for new opportunities in synthetic biology and biotechnology by Payal Patwari; Florian Pruckner; Michele Fabris is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Biosensors in microalgae: A roadmap for new opportunities in synthetic biology and biotechnology about?

Biosensors are powerful tools to investigate, phenotype, improve and prototype microbial strains, both in fundamental research and in industrial contexts. Genetic and biotechnological developments now allow the implementation of synthetic biology approaches to novel different classes of microbial hosts, for example photosynthetic microalgae, which offer unique opportunities. To date, biosensors have not yet been implemented in phototrophic eukaryotic microorganisms, leaving great potential for novel biological and technological advancements untapped. Here, starting from selected biosensor technologies that have successfully been implemented in heterotrophic organisms, we project and define a roadmap on how these could be applied to microalgae research. We highlight novel opportunities for the development of new biosensors, identify critical challenges, and finally provide a perspective on the impact of their eventual implementation to tackle research questions and bioengineering strategies. From studying metabolism at the single-cell level to genome-wide screen approaches, and assisted laboratory evolution experiments, biosensors will greatly impact the pace of progress in understa

Who reads Biosensors in microalgae: A roadmap for new opportunities in synthetic biology and biotechnology?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Payal Patwari; Florian Pruckner; Michele Fabris
Publisher
Elsevier BV
Published
2023
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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