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Quantitative Analysis of Aspergillus nidulans Growth Rate using Live Microscopy and Open-Source Software.
Athanasopoulos, Alexandros; Biratsi, Ada; Gournas, Christos; Sophianopoulou, Vicky.
Afiliação
  • Athanasopoulos A; Microbial Molecular Genetics Laboratory, Institute of Biosciences and Applications, National Centre for Scientific Research, Demokritos (NCSRD); Light Microscopy Unit, Institute of Biosciences and Applications, National Centre for Scientific Research, Demokritos (NCSRD); alexandr@bio.demokritos.gr.
  • Biratsi A; Microbial Molecular Genetics Laboratory, Institute of Biosciences and Applications, National Centre for Scientific Research, Demokritos (NCSRD).
  • Gournas C; Microbial Molecular Genetics Laboratory, Institute of Biosciences and Applications, National Centre for Scientific Research, Demokritos (NCSRD).
  • Sophianopoulou V; Microbial Molecular Genetics Laboratory, Institute of Biosciences and Applications, National Centre for Scientific Research, Demokritos (NCSRD); vicky@bio.demokritos.gr.
J Vis Exp ; (173)2021 07 24.
Article em En | MEDLINE | ID: mdl-34369938
ABSTRACT
It is well established that colony growth of filamentous fungi, mostly dependent on changes in hyphae/mycelia apical growth rate, is macroscopically estimated on solidified media by comparing colony size. However, to quantitatively measure the growth rate of genetically different fungal strains or strains under different environmental/growth conditions (pH, temperature, carbon and nitrogen sources, antibiotics, etc.) is challenging. Thus, the pursuit of complementary approaches to quantify growth kinetics becomes mandatory in order to better understand fungal cell growth. Furthermore, it is well-known that filamentous fungi, including Aspergillus spp., have distinct modes of growth and differentiation under sub-aerial conditions on solid media or submerged cultures. Here, we detail a quantitative microscopic method for analyzing growth kinetics of the model fungus Aspergillus nidulans, using live imaging in both submerged cultures and solid media. We capture images, analyze, and quantify growth rates of different fungal strains in a reproducible and reliable manner using an open source, free software for bio-images (e.g., Fiji), in a way that does not require any prior image analysis expertise from the user.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aspergillus nidulans Idioma: En Revista: J Vis Exp Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aspergillus nidulans Idioma: En Revista: J Vis Exp Ano de publicação: 2021 Tipo de documento: Article