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  • 1 Qorveh Branch, Islamic Azad University, Qorveh, Iran
  • 2 University of Tabriz, P.O.B. 5166614766, Tabriz, Iran
  • 3 University of Trento, San Michele all’Adige, Italy
  • 4 Fondazione Edmund Mach (FEM), San Michele all’Adige, Italy
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Proteases constitute a significant part of cell wall-degrading enzymes (CWDEs) produced by fungal biocontrol agents and particularly crucial in mycoparasitism of fungal phytopathogens. Plate-based screening methods are routinely used for screening protease-producing microorganisms including fungi. Skim milk agar (SMA) is one of the most popular media for the detection of protease producing bacteria. However, SMA is not efficient to test fast growing fungi, because it does not give an estimation of the actual amount of secreted protease produced by fungal inocula. In the current study, the efficacy of two modified plate-screening methods, including split-SMA (SSMA) and minimal medium supplemented with skim milk (MSMW) was assessed for detection of protease production by three representative fungal strains including Trichoderma longibrachiatum strain N, Beauveria bassiana strain B and Purpureocillium lilacinum strain PL. Protease production was revealed on the three tested media by the three strains. However, the halo diameter of the fungal strains (a proxy for protease production) was the smallest on SMA. Furthermore, protease production could not be detected for T. longibrachiatum strain N on SMA due to its fast growth; while it showed the highest protease activity on both modified media compared with the other strains. According to the result of this study, the SSMA medium is an easy and more accurate method compared with the two other different methods as it displays the actual amount of protease produced by fungal strains and therefore this method is recommended for quantitative and qualitative detection of protease production by slow and fast growing fungi.

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  • Scimago Journal Rank(2019): 0.177
  • SJR Hirsch-Index (2019): 19
  • SJR Quartile Score (2019): Q4 Insect Science
  • SJR Quartile Score (2019): Q4 Plant Science

 

  • Scimago Journal Rank(2018): 0.198
  • SJR Hirsch-Index (2018): 17
  • SJR Quartile Score (2018): Q4 Insect Science
  • SJR Quartile Score (2018): Q4 Plant Science

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