Please use this identifier to cite or link to this item: http://repositorio.ufc.br/handle/riufc/25247
Type: Artigo de Periódico
Title: An alternative method for the analysis of melanin production in Cryptococcus neoformans sensu lato and Cryptococcus gattii sensu lato
Authors: Brilhante, Raimunda S. N.
España, Jaime D. A.
Alencar, Lucas Pereira de
Pereira, Vandbergue S.
Castelo-Branco, Débora de S. C. M.
Pereira-Neto, Waldemiro de A.
Cordeiro, Rossana de A.
Sidrim, José J. C.
Rocha, Marcos F. G.
Keywords: Cryptococcus;melanin;yeast
Issue Date: 2017
Publisher: MYCOSES
Citation: BRILHANTE, R. S. N. et al. An alternative method for the analysis of melanin production in Cryptococcus neoformans sensu lato and Cryptococcus gattii sensu lato. Mycoses, Berlin, v. -, p. 1-6, 2017.
Abstract: Melanin is an important virulence factor for several microorganisms, including Cryptococcus neoformans sensu lato and Cryptococcus gattii sensu lato, thus, the assessment of melanin production and its quantification may contribute to the understanding of microbial pathogenesis. The objective of this study was to standardise an alternative method for the production and indirect quantification of melanin in C. neoformans sensu lato and C. gattii sensu lato. Eight C. neoformans sensu lato and three C. gattii sensu lato, identified through URA5 methodology, Candida parapsilosis ATCC 22019 (negative control) and one Hortaea werneckii (positive control) were inoculated on minimal medium agar with or without L-DOPA, in duplicate, and incubated at 35°C, for 7 days. Pictures were taken from the third to the seventh day, under standardised conditions in a photographic chamber. Then, photographs were analysed using grayscale images. All Cryptococcus spp. strains produced melanin after growth on minimal medium agar containing L-DOPA. C. parapsilosis ATCC 22019 did not produce melanin on medium containing L-DOPA, while H. werneckii presented the strongest pigmentation. This new method allows the indirect analysis of melanin production through pixel quantification in grayscale images, enabling the study of substances that can modulate melanin production.
URI: http://www.repositorio.ufc.br/handle/riufc/25247
ISSN: 0933-7407
Appears in Collections:DMC - Artigos publicados em revistas científicas

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