Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/145849
Título: Random Mutagenesis as a Promising Tool for Microalgal Strain Improvement towards Industrial Production
Autor: Trovão, Mafalda
Schüler, Lisa M.
Machado, Adriana
Bombo, Gabriel
Navalho, Sofia
Barros, Ana
Pereira, Hugo
Silva, Joana
Freitas, Filomena
Varela, João
Palavras-chave: adaptive laboratory evolution
fluorescence‐activated cell sorting
genetic engineering
reverse and forward genetics
selection methods
Pharmaceutical Science
Drug Discovery
Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
Data: Jul-2022
Resumo: Microalgae have become a promising novel and sustainable feedstock for meeting the rising demand for food and feed. However, microalgae‐based products are currently hindered by high production costs. One major reason for this is that commonly cultivated wildtype strains do not possess the robustness and productivity required for successful industrial production. Several strain improvement technologies have been developed towards creating more stress tolerant and productive strains. While classical methods of forward genetics have been extensively used to determine gene function of randomly generated mutants, reverse genetics has been explored to generate specific mutations and target phenotypes. Site‐directed mutagenesis can be accomplished by employing different gene editing tools, which enable the generation of tailor‐made genotypes. Nevertheless, strategies promoting the selection of randomly generated mutants avoid the introduction of foreign genetic material. In this paper, we review different microalgal strain improvement approaches and their applications, with a primary focus on random mutagenesis. Current challenges hampering strain improvement, selection, and commercialization will be discussed. The combination of these approaches with high‐throughput technologies, such as fluorescence‐activated cell sorting, as tools to select the most promising mutants, will also be discussed.
Descrição: Funding Information: This work was supported by FEDER/CRESC ALGARVE through the PERFORMALGAE ALG‐01‐0247‐FEDER‐069961 project, Associate Laboratory Institute for Health and Bioeconomy ‐ i4HB (LA/P/0140/2020), the Applied Molecular Biosciences Unit – CCMAR (LA/P/0101/2020), which are financed by national funds from FCT ‐ Fundação para a Ciência e a Tecnologia, I.P. (Portugal). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Peer review: yes
URI: http://hdl.handle.net/10362/145849
DOI: https://doi.org/10.3390/md20070440
ISSN: 1660-3397
Aparece nas colecções:Home collection (FCT)

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