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Article | Open Access

Assessing the ability of white-rot fungi to tolerate polychlorinated biphenyls using predictive mycology

Marcela Alejandra Sadañoskia( ), Juan Ernesto Velázqueza, María Isabel Fonsecaa, Pedro Darío Zapataa, Laura Noemí Levinb, Laura Lidia Villalbaa
Laboratorio de Biotecnología Molecular, Instituto de Biotecnología Misiones, CONICET, Facultad de Ciencias Exactas Químicas y Naturales, Universidad Nacional de Misiones, Posadas, Argentina
Laboratorio de Micología Experimental, Dpto. de Biodiversidad y Biología Experimental, FCEN, UBA, INMIBO (CONICET), CABA, Argentina
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Abstract

The aim of the present study was to assess the ability of different white-rot fungi to tolerate polychlorinated biphenyls (PCBs) using predictive mycology, by relating fungal growth inhibition to ligninolityc enzyme secretion. Fungal strains were grown in the presence of PCBs in solid media and their radial growth values were modelled through the Dantigny-logistic like function in order to estimate the time required by the fungal colonies to attain half their maximum diameter. The principal component analysis (PCA) revealed an inverse correlation between strain tolerance to PCBs and the laccase secretion over time, being laccase production closely associated with fungal growth capacity. Finally, a PCA was run to regroup and split between resistant and sensitive fungi. Simultaneously, a function associated with a model predicting the tolerance to PCBs was developed. Some of the assayed isolates showed a promising capacity to be applied in PCB bioremediation.

Keywords

modellinglaccasePolychlorinated biphenylswhite-rot fungipredictive mycology

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Mycology
Volume 9 Issue 4,
December 2018
Pages 239-249
DOI: 10.1080/21501203.2018.1481152
Cite this article:
Sadañoski MA, Velázquez JE, Fonseca MI, et al. Assessing the ability of white-rot fungi to tolerate polychlorinated biphenyls using predictive mycology. Mycology, 2018, 9(4): 239-249. https://doi.org/10.1080/21501203.2018.1481152

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Received: 04 January 2018
Accepted: 23 May 2018
Published: 08 June 2018
© 2018 The Author(s).

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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