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Antonio C. Codón

Researcher at University of Seville

Publications -  34
Citations -  2382

Antonio C. Codón is an academic researcher from University of Seville. The author has contributed to research in topics: Yeast & Flor. The author has an hindex of 18, co-authored 34 publications receiving 2226 citations. Previous affiliations of Antonio C. Codón include Max Planck Society.

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Biocontrol mechanisms of Trichoderma strains

TL;DR: The genus Trichoderma comprises a great number of fungal strains that act as biological control agents, the antagonistic properties of which are based on the activation of multiple mechanisms, such as plant growth factors, hydrolytic enzymes, siderophores, antibiotics, and carbon and nitrogen permeases.
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Factors Which Affect the Frequency of Sporulation and Tetrad Formation in Saccharomyces cerevisiae Baker's Yeasts.

TL;DR: When mitochondria from laboratory, baker's, and wine yeasts were transferred to baker's and laboratory petite strains, sporulation and four-spore ascus formation frequencies dropped dramatically either to no sporulation at all or to less than 50% in both parameters.
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Increased antifungal and chitinase specific activities of Trichoderma harzianum CECT 2413 by addition of a cellulose binding domain.

TL;DR: The results confirm the importance of these endochitinases in the antagonistic activity of T. harzianum strains, and demonstrate the effectiveness of adding a CBD to increase hydrolytic activity towards insoluble substrates such as chitin-rich fungal cell walls.
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Chromosomal polymorphism and adaptation to specific industrial environments of Saccharomyces strains.

TL;DR: Several industrial Saccharomyces strains, including bakers', wine, brewers' and distillers' yeasts, have been characterized with regards to their DNA content, chromosomal polymorphism and homologies with the DNA of laboratory strains as discussed by the authors.
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Physiological and molecular characterization of flor yeasts: Polymorphism of flor yeast populations

TL;DR: The polymorphism observed might reflect the enormous variability induced by the ethanol followed by the selection of those mtDNA sequences which make the mitochondria metabolically active under these conditions.