Journal of biological and health sciences http://biotecnia.unison.mx

Universidad de Sonora

ISSN: 1665-1456

Modeling radial growth of Amylomyces rouxii and its tolerance to selected pharmaceutical active and endrocrine disruptors compounds

Modelado del crecimiento radial de Amyomyces rouxii y su tolerancia a compuestos activos farmacéuticos y disruptores endócrinos seleccionados



H. Hugo León-Santiesteban1 , Estefanía P. Severo3 , Araceli Tomasini3*

1 Departamento de Energía, Universidad Autónoma Metropolitana-Azcapotzalco. ZC 02200, Delg. Azcapotzalco, Mexico City, Mexico.

2 Posgrado en Energía y Medio Ambiente, Universidad Autónoma Metropolitana-Iztapalapa. ZC 9340, Apdo. P. 55-535, Vicentina, Mexico City, Mexico.

3 Departamento de Biotecnología, Universidad Autónoma Metropolitana-Iztapalapa. ZC 09340, Apdo. P. 55-535, Vicentina, Mexico City, Mexico.

ABSTRACT

Filamentous fungi that tolerate the presence of toxic com- pounds has the potential application for their removal. In this work we studied the tolerance of Amylomyces rouxii to growth in presence of pharmaceutical active and endocrine disruptors compounds (PhACs and ED). Results showed that radial growth data can be modeled and used to determine the kinetic parameters to quantify fungal growth in the presence of PhACs. The capacity of A.rouxii to grow in the presence of 9 PhACs and 3 ED at concentrations between 100 to 5000 µg L-1 was evaluated. The studied PhCAs were para- cetamol, ibuprofen, diclofenac, naproxen, sulfamethoxazole, trimethoprim, ciprofloxacin, ofloxacin, carbamazepine, and endocrine disruptors were β-estradiol, triclosan, and bisphe- nol-A. The data of A. rouxii radial growth was modeled using the logistic equation and linear regression. The Vmax, except in

cultures with β-estradiol, and µmax values were not affected

by the presence of PhACs. Growth inhibition of fungus was

calculated at 24 h In cultures with diclofenac, triclosan and naproxen, a linear relationship was observed between com- pound concentration and radial growth inhibition. However, there was no difference in radial growth inhibition at the different assayed concentrations of ibuprofen, trimethoprim, and β-estradiol. In culture with 5000 µg carbamazepine L-1, growth of A. rouxii was completely inhibited. To the best of our knowledge, this is one the first work reporting PhACs and ED toxicity in zygomycetes.

Keywords: fungi, inhibition growth, logistic equation, micro- contaminants, growth modeling.


RESUMEN


416

Los hongos filamentosos que toleran la presencia de com- puestos tóxicos pueden potencialmente removerlos. En este trabajo se estudió la tolerancia de Amylomyces rouxii a crecer en presencia de compuestos activos farmacéuticos (CAFs) y disruptores endócrinos (DE). Los resultados mostraron que los datos de crecimiento radial pueden ser modelados y usados para determinar los parámetros cinéticos del cre- cimiento fúngico en presencia de CAFs y de DE y evaluar la


Volume XXVI

DOI: 10.18633/biotecnia.v26.2292

inhibición del crecimiento por los CAFs. Se evaluó la capaci- dad de A. rouxii para crecer en presencia de 9 CAFs y 3 DE a concentraciones entre 100 a 5000 µg L-1. Los CAFs estudiados fueron paracetamol, ibuprofeno, naproxeno, sulfametoxazol, trimetoprima, ciprofloxacino, ofloxacino, carbamazepina, y los disruptores endócrinos fueron β-estradiol, triclosán y bisfenol A. Los datos del crecimiento radial de A. rouxii fue- ron modelados usando la ecuación logística y se obtuvo la tasa máxima de crecimiento. A 24 h, se calculó la inhibición del crecimiento. Ibuprofeno, trimetoprima, y β-estradiol no causaron inhibición. La carbamazepina, 5000 µg L-1, inhibió completamente el crecimiento de A. rouxii. Hasta donde sa- bemos, este es el primer trabajo que informa de la toxicidad de los CAFs y DE en hongos.

Palabras clave: hongos, , inhibición del crecimiento, ecua- ción logística, microcontaminantes, modelado del crecimien- to.


INTRODUCTION

Filamentous fungi are widely studied due to their role in the production of secondary metabolites and enzymes of industrial importance, as well as for their capacity to re- move a great diversity of xenobiotic compounds from the environment. Filamentous fungi have an important role as natural carbon compounds degraders (Tomasini and León- Satiesteban, 2019).

Fungi growth on agar plates simulates the natural growth of fungi more than in the soil. This type of cultures is mainly carried out to isolate fungi and to determine their degree of tolerance to toxic compounds by means of radial growth (Gabiatti et al., 2006; Crane et al., 2010; de Lima Souza et al., 2017).

In bioremediation studies, the isolation of fungi from contaminated sites and the determination of their tolerance, is a strategy that leads to obtain fungal strains with the ability to remove heavy metals and toxic compounds. For example, the effect of heavy metals, like copper, cadmium, lead, ar- senic, iron, and mercury, on filamentous fungi was studied using radial growth as a parameter indicating their tolerance

*Author for correspondence: Araceli Tomasini

e-mail: atc@xanum.uam.mx

Recibido: March 14, 2024

Aceptado: June 28, 2024

Publicado: August 14, 2024

to the studied metals (Crane et al., 2010; Baldrian, 2003). With respect to toxic compounds, the tolerance to hydrocarbons of selected filamentous fungi was studied through radial growth, finding that Aspergillus fumigatus had the highest to- lerance to the assayed hydrocarbons (Gabiatti Jr et al., 2006). On the other hand, Rhizopus nigricans and Rhizopus oryzae, isolated from pentachlorophenol (PCP)-contaminated sites, were cultured in solid medium with agar and PCP to determi- ne their tolerance to the compounds. R. nigricans presented radial growth inhibition at 500 mg PCP L-1 (Tomasini et al., 2001), while R. oryzae grew at a concentration of 100 mg PCP L-1, but radial growth was slower and 2.6-times less that the growth in cultures without PCP (León-Santiesteban et al., 2008).

The microcontaminants or emergent pollutants are compounds found recently in the environment at concen- trations ranging from nanograms to micrograms per liter. This group of pollutants include the pharmaceutical active compounds (PhACs) and personal care products. These compounds are not toxic per se, since they are used by hu- mans or animals for a beneficial purpose on health, they discharged into wastewaters through urine and feces. Finally, the PhACs reach natural water sources or the soil. Recent studies have shown that despite their low concentration in the environment, PhACs present toxic effects on some aquatic organisms such as bacteria, algae, invertebrates, and fishes; besides, the group of antibiotics can lead pathogen and non pathogen bacteria to develop resistance (Burkina et al., 2018; Kim et al., 2007; Mehinto et al., 2010; Santos et al., 2010). There are different studies on PhACs degradation by filamentous fungi such as basidiomycetes (Jelic et al., 2010, Cruz-Morató et al., 1013) and some ascomycetes (Wadhah et al., 2017; Olicón-Hernández et al., 2017). Some studies about the tolerance of filamentous fungi has been published, using mainly white-rote fungi or ascomycetes (Argumedo-Delira et al., 2012; Russo et al., 2019), but not zygomycetes.

For this reason, it is important to propose fungi that tolerate the presence of PhACs, to determine, in a future, the ability of these fungi for environmental PhACs removal. There are few publisher about PhACs toxicity to filamentous fingi.

The aim of this work was to evaluate the inhibition of radial growth of A. rouxii by 9 selected PhACs, paracetamol (PCT), ibuprofen (IBP), diclofenac (DCF), naproxen (NPX), sulfamethoxazole (SMX), trimethoprim (TMP), ciprofloxacin (CPX), ofloxacin (OFX), carbamazepine (CBZ), and 3 endocrine

during 4 to 5 d at 30°C. Later, spores were harvested using a 1 % Tween 80 solution in water by mechanical agitation. The spore’s suspension was then centrifuged at 12,000 g for 5 min, the supernatant formed was discarded and replaced by an equal volume of sterile distilled water, this was repeated at least three times.

Cleaned spores (0.5 mL) were utilized to inoculate PDA plates that were incubated at 30°C for 1 day. Once the incu- bation period had finished, 1-cm cylindrical agar plugs were removed from the center of the fungal colonies and used as inoculum for the PhACs tolerance experiments.

Target PhACs

All PhACs tested in this investigation were detected in urban and hospital wastewaters form Mexico City (Calderón et al., 2019). Four analgesic/anti-inflammatory compounds (PCT, IBP, DCF, and NPX), four antibiotics (TMP, SMX, OFX, and CPX), one antiepileptic (CBZ) and three endocrine disruptors (βEDT, BPA, and TRC) were assayed. PhACs with a high purity grade (> 98 %) were used, all of them purchased from Sigma- Aldrich, Mexico. A stock solution of 100 mg L-1 of each PhAC was prepared in a 50 % ethanol solution in water.


Culture Conditions

The radial growth of A. rouxii was assessed in 2X Lee agar pla- tes. The 2X Lee agar medium contained per liter: 5 g glucose,

2.5 g (NH4)2SO4, 5 g KH2PO4, 4 g MgSO4, 10 g NaCl, 15 g agar,

with a pH of 5.3. Before gelling, PhAC and ED were added to

the culture media at different concentrations (100, 250, 1000, 1500, 2500, and 5000 µg L-1). Agar plates without PhACs and ED were considered as control cultures. All agar Petri dishes (90 x 15 mm) were inoculated with a 1-cm cylindrical plug containing mycelia and were incubated at 30 °C. The radial growth of A. rouxii was measured, in millimeters, at different time intervals until mycelia completely invaded the Petri dishes. All cultures were carried out quadruplicated.

Kinetic Growth Model

Unstructured models were used to describe the radial growth of A. rouxii in the presence and absence of PhACs. Lineal regression was only used to characterize the exponen- tial growth phase (equation 1). In contrast, Logistic equation (equation 2) was applied to model both exponential and stationary phases.

disrutors β-estradiol (βEDT), triclosan (TRC), and bisphenol A

𝑑𝑑𝑑𝑑

= 𝑉𝑉

𝑋𝑋 (Eq. 1)

(BPA). Statistical analysis was made to show the effect of di- fferent concentrations of PhACs on radial growth and kinetic

𝑑𝑑𝑑𝑑

𝑑𝑑𝑑𝑑

𝑚𝑚𝑚𝑚𝑚𝑚


𝑑𝑑

parameters of A. rouxii.

= 𝜇𝜇𝑚𝑚𝑚𝑚𝑚𝑚 (1 −

𝑑𝑑𝑑𝑑 𝑑𝑑

𝑚𝑚𝑚𝑚𝑚𝑚

) 𝑑𝑑 (Eq. 2)

MATERIAL AND METHODS

Strain

Amylomyces rouxii CDBB-H-1883, isolated from a PCP- contaminated effluent was used in this study (Montiel et al., 2004). A. rouxii spores were produced in 250 mL Erlenmeyer flasks with 25 mL of potato dextrose agar medium (PDA)

Where, dR/dt is the radial growth rate (mm h-1), R is the radial growth (mm), Vmax is the maximum specific growth rate (mm h-1), µmax is the maximum specific growth rate (h-1), and Rmax is the maximum radial growth (mm). Parameters from lineal regression and logistic equations were estimated with the Levenberg-Marquardt method for non-linear regression

with a confidence level of 95 % using the program OriginPro 2017.

Growth Inhibition

The inhibitory effect of PhACs on the radial growth of A. rouxii was calculated at 24 h, during the exponential growth phase. Equation 3, reported by Sagar and Singh (2011), was used to calculate the percent inhibition of A. rouxii radial growth.

𝐶𝐶𝐶𝐶𝑐𝑐−𝐶𝐶𝐶𝐶𝑓𝑓

tic equation, to determine if the presence of PhACs affects these kinetic parameters. Results showed that data fitted good with lineal regression as indicated by the R2 values (0.84 and 0.99). Statistical analysis (p-value > 0.05) showed that the Vmax value (1.56 mm h-1) of A. rouxii radial growth was not affected by the presence of PhACs and ED, no matter the concentration used in this study. The βETD was the only active compound that negatively affected the Vmax of A. rouxii radial growth, diminishing it 1.4-times.

% 𝑖𝑖𝑖𝑖ℎ𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖24=

𝐶𝐶𝐶𝐶𝑐𝑐

Data of A. rouxii radial growth were also fitted with the logistic equation that allowed modeling the exponential and

Where CRc is the radial growth in control cultures at 24 h and CRf is the radial growth in cultures with PhACs and ED at 24 h.

Statistical Analysis

A completely randomized design (CRD) was applied to evaluate the effect of PhACs and ED concentrations on the inhibition of the radial growth of A. rouxii (α = 0.05). Each CRD had seven levels related to the PhAC concentrations (0, 100, 250, 1000, 1500, 2500, and 5000 µg L-1) and four replicates. The assumption of normal distribution of errors was checked by Kolomogórov-Smirnov and D’Agostino Kurtosis tests (p- value > 0.05), whereas homogeneity of variance was verified by the Levene’s test. The assumption of homogeneity of variance was proved in treatments with TRC, NPX, CPX, BPA, SMX, PCT, and TRP (p-value > 0.05), thus, the HDS Tukey post hoc test was used. On the other hand, treatments with DCF, IBP, βETD, CBZ, and OFX did not meet the assumption of homogeneity of variance (p-value < 0.05), thus, they were analyzed by the Games-Howell post hoc test. All statistical tests were carried out using the software IBM SPSS Statistics 19.0.

RESULTS AND DISCUSSION

Radial growth of A. rouxii in the presence of different PhACs and ED

The kinetics of A. rouxii radial growth in the presence of diffe- rent PhACs and ED is shown in Figure 1. Growth was measu- red until the mycelium invaded the Petri dish. In the control culture, the A. rouxii mycelium reached 45 mm between 29 to 30 h. In cultures with PhACs and ED, the time to reach 45 mm was between 32 and 40 h, depending on the compound and their concentration. Mycelia of A. rouxii cultured with 100 µg L-1 of TRC, CPX, OFX, or BPA, invaded the Petri dishes at 29 to 30 h as in the control culture. With the other concentrations of PhACs, fungal mycelium reached 45 mm at 32 h, except with 5 000 µg L-1, which was achieved until 38 h (Figure 1B, D, E, F). In the presence of the other eight PhACs and ED (DCF, NPX, CBZ, SMX, PCT, TMP, IBF, βEDT), regardless of the con- centration assayed, the A. rouxii mycelium covered the whole Petri dish at approximately 40 h (Figure 1A, C, G, H, I, J. K, L). Each point of Figure 1 is an average of 4 experimental points.


Modeling of kinetic radial growth

In this work, the Vmax (mm h-1) and µmax (h-1) of A. rouxii radial growth were calculated using lineal regression and the logis-

stationary phases, as well as obtaining the µmax value. Figure 2 shows the data of the control and the cultures with BPA fitted with the logistic equation.

The profile of A. rouxii radial growth in control cultures fitted good with the logistic model and showed a sigmoidal growth curve, R2 ≥ 0.975. In cultures with 100, 250, 1000, 1500, and 2500 µg L-1 of PhACs and ED, the growth profile was similar to the control culture and the logistic model fitted good (R2 ≥ 0.975). With the exception of cultures with 100 µg L-1 of IBP, R2 = 0.966, and with 2500 µg L-1 of PCT, R2 = 0.943, the values may be due to the experimental variation of the radial growth values.

Experimental data from cultures grown in the presence of 5000 µg L-1 of BPA, CPX, IBP, PCT, OFX, or TRC, fitted well using the logistic model (R2 ≥ 0.975). In contrast, the growth profiles of A. rouxii were modified when grown in the presence of 5000 µg L-1 of βETD, TMP, SMX, NPX, or DCF. The sigmoidal curve was not observed because most of the experimental data were mainly grouped in the lag or exponential phases and, less in the stationary phase where few experimental points were found (R2 ≤ 0.974), as shown in Figure 3 where it is observed the growth profile in presence of DCF. The modified growth profile of A. rouxii observed in the cultures with 5000 µg L-1, indicate the possibility that the primary metabolism of the fungus was affected by the PhACs. That is, probably some proteins of the energy metabolism change their expression due to the presence of these compounds. Recently, it was reported that in R. oryzae cultures the ex- pression of some proteins like transaldolase, hydrogenase malate, and ATP synthase, related with energy metabolism, were overexpressed in the presence of PCP (Ruiz-Lara et al., 2020). A hypothesis to explain why A. rouxii modify their growth in presence of some PhACs and ED, is that the fungus must produce more proteins for energy metabolism to cope with the effect of these compounds. However, it is necessary to study the growth of A. rouxii with PhACs and ED in sub- merged cultures to provide more information on the effect of these compounds on the metabolism and growth of the fungus.

Experimental data of A. rouxii radial growth in the presence of CBZ at 2500 µg L-1 was not fitted, R2 = 0.949, indi- cating that at this concentration CBZ affects the growth of A. rouxii. At 5000 µg L-1 of CBZ, growth of A. rouxii was inhibited completely. There are some reports on CBZ toxic effects in some aquatic organisms like fish, algae and crustacean (Hai


Figure 1. Kinetics of A. rouxii radial growth cultured without micropollutants (control) and with different PhACs and ED concentrations. A) DCF; B)TRC; C) NPX; D) CPX; E) OFX; F) BPA; G) CBZ; H) SMX; I) PCT; J) TMP; K) IBP; L) β ETD. Each point is an

average of four experimental values.

Figura 1. Cinética de crecimiento radial de A. rouxii cultivado sin CAFs (control) y con diferentes concentraciones de CAFs. A) DCF; B)TRC; C) NPX; D) CPX; E) OFX; F) BPA; G) CBZ; H) SMX; I) PCT; J) TMP; K) IBP; L) β ETD . Cada punto es un promedio de cuatro

valores experimentales.

et al., 2018; Jos et al., 2003; Santos et al., 2010). The toxicity of CBZ at concentrations of 5 to 30 mg L-1 has been evaluated in the Juvenil rainbow trout, analyzing the antioxidant response in the presence of CBZ (Li et al., 2011). Growth of the algae Desmodesmus subspicatus was inhibited with 74 mg CBZ L-1. Zhang et al. (2012) reported the ecotoxic effect of the CBZ in the algae Scendesmus obliqus and Chlorella pyrenoidosa, and authors proposed that CBZ could inhibit the growth of these algae. It has been shown that chlorophyll synthesis is inhib- ited by CBZ. The alga Raphidocelis subcapitata was sensitive and its growth inhibited in the presence of 100 mg CBZ L-1. Growth inhibition of Chlorella vulgaris by CBZ has also been reported (Jos et al., 2003). In this work it was found that of the nine PhACs and three DE tested, CBZ was the most toxic to

A. rouxii growth. There are some reports on CBZ degradation by basidiomycetes like Trametes versicolor, Pleurotus ostreatus and Phanerochaete chrysosporium, but the authors did not report growth inhibition caused by the compound. This is one of the first works that reported the toxic effect of CBZ for a zigomycete fungus.

The µmax values of A. rouxii radial growth with the logistic equation at different PhACs and ED concentrations, were calculated. Figure 4 shows the µmax values for the cultures

with PhACs, ED and the control cultures, without statistical

differences (p-value > 0.05), independently of the concen-

tration of the compounds, with respect to the control cul- tures. Except the cultures with βETD, where µmax diminished 1.5-times with respect to the µmax of the control culture, the Vmax value calculated with lineal regression also showed a 1.4- fold decrease. Table 1 show the statistical analysis indicating that the confidence intervals do not touch each other. The effect of dichlorodiphenyltrichloroethane (DDT) on the µmax of the radial growth of Rhizopus arrhizus and Trichoderma ha- matum, has been studied and authors found similar results. T. hamatum did not present differences in the growth µmax with DDT as compared to the control culture. However, the µmax for R. arrhizus diminished in the presence of DDT (Russo et al., 2019).

The lag phase during A. rouxii growth in the control cultures was of 3 h, and of 6 h in cultures with low PhACs concentrations (100 µg L-1). In cultures with 5000 µg L-1 of OFX, TRC, or NPX, the lag phase was between 14 h and 17 h.

Inhibition of A. rouxii growth by the PhACs and ED

As was mentioned, radial growth of A. rouxii reached 45 mm, at different times whithin a range from 29 to 40 h. For this reason, the value of radial growth at 24 h in the exponential phase was taken to determine the of radial growth inhibition caused by PhACs and ED. Growth inhibition was calculated using equation 3. The ANOVA results, with four values of ra-


Figure 2. Radial growth of A. rouxii in control culture and in cultures with different BPA concentrations in µg L-1 (A: 0, B:100, C: 250, D: 1000, E:1500, F: 2500, G: 5000). Symbols represent the experimental data (average from 6 experimental values) and the continuous line corresponds to the fit of the logistic equation.

Figura 2 Crecimiento radial de A. rouxii en cultivo control y con diferentes concentraciones de BPA en µg L-1 (A: 0, B:100, C:

250, D: 1000, E:1500, F: 2500, G: 5000).). Los símbolos representan los datos experimentales (son promedio de 6 valores) y las líneas continuas representan los datos ajustados con la ecuación logística.


Figure 3. Radial growth of A. rouxii in control culture, and in cultures with different DCF concentrations in µg L-1 (A: 0, B:100, C: 250, D: 1000, E:1500, F: 2500, G: 5000). Symbols represent the experimental data (average from 6 experimental values) and the continuous line corresponds to the fit of the logistic equation.

Figura 3. Crecimiento radial de A. rouxii en cultivo control y con diferentes concentraciones de DCF en µg L-1 (A: 0, B:100,

C: 250, D: 1000, E:1500, F: 2500, G: 5000). Los símbolos representan los datos experimentales (promedio de 6 valores) y las líneas contínuas representas los datos ajustados con la ecuación logística.

Table 1. Vmax (mm h-1) and µmax values (h-1), calculated by lineal regression and logistic equation respectively, of A. rouxii cultu- red at different concentrations of βETD, and the confidence intervals α = 0.05 according to ANOVA analysis.

Tabla 1. Valores de Vmax (mm h-1) y µmax (h-1), calculados mediante regresión lineal y ecuación logística, respectivamente, de

βETD (µg L-1)

Vmax (mm h-1)

95 % Confidence


lower

Interval


upper

µmax

95 % Confidence


lower

Interval


upper

0

1.563

1.405

1.722

0.200

0.175

0.224

100

1.184

1.080

1.288

0.141

0.116

0.166

250

1.168

0.941

1.395

0.138

0.111

0.165

1000

1.063

0.967

1.159

0.125

0.104

0.147

1500

0.980

0.833

1.127

0.119

0.097

0.141

2500

1.070

0.909

1.232

0.135

0.107

0.163

5000

1.116

1.017

1.215

0.132

0.104

0.260

A. rouxii cultivada a diferentes concentraciones de βETD, e intervalos de confidencia α = 0.05 de acuerdo a análisis ANOVA.


(h-1)


dial growth for each concentration, showed that treatments were statistically different. The 95 % confidence interval for each concentration mean for the nine PhACs and the three ED assayed. The HSD Tukey and Games-Howell Post Hoc tests indicated the differences in radial growth among concentra- tions of each compound, with a significant mean difference (p-value < 0.05).

A. rouxii was more sensitive to TRC and DCF than to the other compound tested, since radial growth inhibition showed statistical differences among all concentration assayed; six subgroups were found, according to Post Hoc

Tests (Figures 5A, B). At the lowest concentration (100 µg L-1), radial growth inhibition was 2.8 % and 10.8 % in cultures with DCF and TRC respectively. At 5000 µg L-1, inhibition of radial growth increased 56 % and 52 % with DFC and TRC respectively. This means that, in the presence of DCF, the in- hibition rate was 19.6-times higher with respect to the lowest concentration and with TCS it was 5.6-times higher.

The effect of NPX concentration on radial growth showed five subgroups according to Post Hoc Tests (Figure 5C). The inhibition rate was 10.4 and 58.3 % for 100 and 5000 µg L-1, respectively, this means 5.6-times higher at 5000 µg L-1.



Figure 4. Values of µmax (h-1) calculated with the logistic equation from radial growth data of A. rouxii cultured with different concentrations of PhACs and ED. Different numbers indicate statistical differences according to the Post Hoc HDS (p-value > 0.05). Figura 4. Valor de µmax (h-1) calculada con la ecuación logística a paritr de los datos de crecimiento radial cultivado con diferentes concentarciones de CAFS y ED. Los números diferentes indican las diferencias estadísticas de acuerdo con la prueb de Post Hoc HDS (valor-p > 0.05).



Figure 5. A. rouxii radial growth inhibition caused by PhACs and ED at different concentrations. Different numbers indicate statistical differences according to the Post Hoc HDS tests (p-value-p > 0.05).

Figura 5. Inhibición del crecimiento radial de A. rouxii causado por las diferentes cocnentraciones de los CAFs y ED. Los números diferentes indican las diferencias estadísticas de acuerdo con la prueb de Post Hoc HDS (valor-p > 0.05).


CPX, OFX, and BPA presented four subgroups with significant statistic difference. At 1000, 1500, and 2500 µg L-1 of CPX, A. rouxii presented the same inhibition rate (Figure 5D). OFX showed similar radial growth inhibition rates at 250, 1000, and 1500 µg L-1 (Figure 5E). Radial growth inhibition of

A. rouxii was not different at 100, 250, and 1000 µg L-1 of BPA as shown in Figure 5F. A. rouxii was more resistant to CPX and BPA, maximal radial growth inhibition was 27 and 26 %, res- pectively, at 5000 µg L-1; approximately 3.5-times higher with respect to the minimal concentrations tested. In cultures with 5000 µg L-1 OFX, inhibition rate was 32 %. The HSD Tukey and Games-Howell Post Hoc tests showed that PCT, SMX, and CBZ presented three subgroups. A. rouxii was sensitive to CBZ, the inhibition rate was 23 % with the lowest concentrations, 100 and 250 µg L-1. In the cultures with 1000, 1500, and 2500 µg L-1 inhibition rates were between 33 and 42 %. A. rouxii did not grow in the presence of 5000 µg L-1 CBZ. CBZ was the only compound with an inhibition rate of 100 % (Figure 5G). Ra- dial growth inhibition of A. rouxii in the presence of SMX was increased at higher concentrations; with 100 and 250 µg L-1, the inhibition rate was 18 %, and 33 % with 1000 and 1500 µg L-1. With the highest SMX concentrations (2500 and 5000 µg L-1), the inhibition rate was 47 % (Figure 5H). PCT presented

a similar inhibition rate at concentrations of 100, 250, and 1000 µg L-1, around 23 %. With 1500 µg L-1, the inhibition rate was 37 %. A. rouxii presented high radial growth inhibition, approximately 45 % in the presence of 2500 and 5000 µg L-1 of PCT (Figure 5I).

The last subgroup, according to the Post Hoc HDS Tukey test, practically did not show a difference in the inhibition rate calculated at any tested concentration. The TMP, IBF, and βETD are in this subgroup. In the cultures with TMP and IBP, the inhibition rate of A. rouxii radial growth was between 15 and 36 % at 100 to 5000 µg L-1. With βETD, the inhibition rate at 100 µg L-1 was 24 % and 43 % with 5000 µg L-1 (Figure 5J, 5K, 5L). Statistical analysis showed that there are no differences.

Results showed that radial growth inhibition of A. rouxii depends on the type of compound and its concentration. CBZ was the only compound that completely inhibited fungal growth at 5000 µg L-1. Radial growth inhibition of A. rouxii between 48 and 58 % was determined in the presence of 5000 µg L-1 of DCF, TRC, NPX, OFX, or SMX. In the presence of the other six compounds, at the highest concentration, the inhibition rate was between 25 and 43 %. Similar results have been published showing that radial growth inhibition of fungi depends on the type and concentration of toxic compound.

The radial growth inhibition of fungi by the presence of phenanthrene and pyrene has been reported. Results showed that in the presence of phenanthrene, growth inhibi- tion was between 60 and 100 % for the concentration of 240 to 2040 µg L-1 for all strains except for Hypoxylon. Pyrene, at the same concentrations, showed almost no inhibitory effect on fungal growth, maximal radial growth inhibition was 15 to 20 % at 2040 µg L-1 (de Lima Souza et al., 2017). Authors reported that Trichoderma species were more resistant to phenanthrene, with radial growth inhibition of around 60

%, and only for one of the strains did the authors reported 100 % of inhibition at the highest concentration (3000 mg L-1). In the presence of naphthalene, 100 % of radial growth inhibition was found for concentrations from 250 to 300 mg L-1 (Argumedo-Delira et al., 2012). Hendricks et al. (2017) reported radial growth inhibition in Phyllosticta citricarpa by the presence of the fungicide, fenbuconazole.

CONCLUSIONS

The results of this study show that A. rouxii radial growth depends on the type and concentration of pharmaceutical

compounds. The Vmax (except in cultures with βETD) and µmax values were not affected by the presence of PhACs, indicating that these kinetic parameters were not useful to predicting

growth inhibition of A. rouxii. In cultures with DCF and TRC, a lineal relationship was found between concentration and percent of radial growth inhibition. The lowest inhibition of growth was observed in cultures with CPX and BPA, showing little toxicity against A. rouxii. The different concentrations of TRP, IBP, and βETD assayed in this work did not affect the fungus radial growth. The highest toxicity was caused by CBZ, A. rouxii did not tolerate concentration of 5000 µg L-1. This work is one of the first reports on fungal radial growth inhibition by the presence of PhACs. More studies, in sub- merged culture determining the consumpition of nutrients and the PhACs concentration during growth kinetic, must be made to understand the toxicity effect caused by the PhACs and the mechanisms of A. rouxii to deal with their toxic effect.

ACKNOWLEDGMENTS

Estefanía P. Severo thanks to Consejo Nacional de Ciencia y Tecnología, Mexico for the fellowship number 955686.

CONFLICTS OF INTEREST

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.


REFERENCES

Argumedo-Delira, R., Alarcón, A., Ferrera-Cerrato, R., Almaraz, J.J., and Peña-Cabriales, J.J. 2012. Tolerance and growth of 11 Trichoderma strains to crude oil, naphthalene, phenanthrene and benzo [a] pyrene. Journal of environmental management, 95, S291-S299.

Baldrian P. 2003. Interactions of heavy metals with white-rot fungi. Enzyme Microbial and Technologu 32, 78-91.

Burkina, V., Sakalli, S., Pilipenko, N., Zlabek, V., and Zamaratskaia,

G. 2018. Effect of human pharmaceuticals common to aquatic environments on hepatic CYP1A and CYP3A-like activities in rainbow trout (Oncorhynchus mykiss): An in vitro study. Chemosphere, 205, 380-386.

Calderón, A., Meraz, M., and Tomasini, A. 2019. Pharmaceuticals present in urban and hospital wastewaters in Mexico City. Journal of Water Chemistry and Technology, 41(2), 105-112.

Crane, S., Dighton, J., and Barkay, T. 2010. Growth responses to and accumulation of mercury by ectomycorrhizal fungi. Fungal Biol, 114(10), 873-80.

Cruz-Morató, C., Ferrando-Climent, L., Rodriguez-Mozas, S., Barceló, D., Marco-Urrea, E., Vicent, T., and Sarrá, M. 2013. Degradation of pharmaceuticals in non-sterile urban wastewater by Trametes versicolor in a fluidized bed bioreactor. Water research, 47, 5200-5210.

de Lima Souza, H.M., Barreto, L.R., da Mota, A.J., de Oliveira, L.A., dos Santos Barroso, H., and Zanotto, S.P. 2017. Tolerance to Polycyclic Aromatic Hydrocarbons (PAHs) by filamentous fungi isolated from contaminated sediment in the Amazon region. Acta Scientiarum. Biological Sciences, 39(4), 481-488.

Gabiatti Jr, C., Vendruscolo, F., Piaia, J.C.Z., Rodrigues, R., Durrant, L., and Costa, J.A.V. 2006. Radial growth rate as a tool for the selection of filamentous fungi for use in bioremediation. Brazilian Archives of Biology and Technology, 49, 29-34.

Hai, F.I., Yang, S., Asif, M.B., Sencadas, V., Shawkat, S., Sanderson- Smith, M., Gorman, J., Xu, Z.-Q., and Yamamoto, K. 2018. Carbamazepine as a possible anthropogenic marker in water: Occurrences, toxicological effects, regulations and removal by wastewater treatment technologies. Water, 10(2), 107.

Hendricks, K.E., Christman, M.C., and Roberts, P.D. 2017. A statistical evaluation of methods of in-vitro growth assessment for Phyllosticta citricarpa: average colony diameter vs. area. PloS one, 12(1), e0170755.

Jelic, A., Cruz-Morató, C., Marco Urrea, E., Sarrá, M., Perez, S., Vicent, T., Petrovic, M., and Barcelo, D. 2012. Degradation of carbamazepine by Trametes versicolor in an air pulsed fluidized bed bioreactor and identification of intermediates. Water Research, 46, 955-064.

Jos, A., Repetto, G., Rios, J., Hazen, M., Molero, M., Del Peso, A., Salguero, M., Fernández-Freire, P., Pérez-Martın, J., and Cameán, A. 2003. Ecotoxicological evaluation of carbamazepine using six different model systems with eighteen endpoints. Toxicology in Vitro, 17(5-6), 525-532.

Kim, Y., Choi, K., Jung, J., Park, S., Kim, P.-G., and Park, J. 2007. Aquatic toxicity of acetaminophen, carbamazepine, cimetidine, diltiazem and six major sulfonamides, and their potential ecological risks in Korea. Environment International, 33(3), 370-375.

León-Santiesteban, H., Bernal, R., Fernández, F.J., and Tomasini,

A. 2008. Tyrosinase and peroxidase production by Rhizopus oryzae strain ENHE obtained from pentachlorophenol- contaminated soil. Journal of Chemical Technology & Biotechnology, 83(10), 1394-1400.

Li, Z., Zlabek, V., Velisek, J., Grabic, R., Machova, J., Kolarova, J., Li, P., and Randak, T. 2011. Acute toxicity of carbamazepine to juvenile rainbow trout (Oncorhynchus mykiss): effects on antioxidant responses, hematological parameters and hepatic EROD. Ecotoxicol Environ Saf. , 43(3), 319-327.

Mehinto, A.C., Hill, E.M., and Tyler, C.R. 2010. Uptake and biological effects of environmentally relevant concentrations of the nonsteroidal anti-inflammatory pharmaceutical diclofenac in rainbow trout (Oncorhynchus mykiss). Environ Sci Technol, 44(6), 2176-82.

Montiel, A.M., Fernández, F.J., Marcial, J., Soriano, J., Barrios- González, J., and Tomasini, J. 2004. A fungal phenoloxidase (tyrosinase) involved in pentachlorophenol degradation. Biotechnology Letters, 26, 1353-1357.

Olicón-Hernández, D.R., González-López, J., and Aranda, E. 2017. Overview on the Biochemical Potential of Filamentous Fungi to Degrade Pharmaceutical Compounds. Front. Microbiol. 8:1792.

Ruiz-Lara, A., Fierro, F., Carrasco, U., Oria, J.A., and Tomasini,

A. 2020. Proteomic analysis of the response of Rhizopus oryzae ENHE to pentachlorophenol: Understanding the mechanisms for tolerance and degradation of this toxic compound. Process Biochemistry, 95, 242-250.

Russo, F., Ceci, A., Pinzari, F., Siciliano, A., Guida, M., Malusà, E., Tartanus, M., Miszczak, A., Maggi, O., and Persiani, A.M. 2019. Bioremediation of dichlorodiphenyltrichloroethane (DDT)-contaminated agricultural soils: Potential of two autochthonous saprotrophic fungal strains. Applied and environmental microbiology, 85(21).

Sagar, V., and Singh, D.P. 2011. Biodegradation of lindane pesticide by non white- rots soil fungus Fusarium sp. World journal of microbiology & biotechnology, 27(8), 1747-1754.

Santos, L.H., Araújo, A.N., Fachini, A., Pena, A., Delerue-Matos, C., and Montenegro, M.C. 2010. Ecotoxicological aspects related to the presence of pharmaceuticals in the aquatic environment. Journal of hazardous materials, 175(1-3), 45- 95.

Tomasini, A., and León-Santiesteban, H.H. (Eds.). (2019). Fungal Bioremediation: Fundamentals and Applications (1st ed.). CRC Press. https://doi.org/10.1201/9781315205984. 2019. The Role of the Filamentous Fungi in Bioremediation. in: Fungal Bioremediation: Fundamentals and Applications (Ed.) A. Tomasini, & León-Santiesteban,

H.H. , CRC Press Taylor & Francis Group. Boca Raton, FL

pp. 3.

Tomasini, A., Flores, V., Cortés, D., and Barrios-González, J. 2001. An isolate of Rhizopus nigricans capable of tolerating and removing pentachlorophenol. World Journal of Microbiology and Biotechnology, 17(2), 201-205.

Wadhah, H.E., Abdullah, Q.Y., Naji, K.M., and AL-Kaf, A.G. 2017. Biodegradation of paracetamol by native fungal species inhabiting wastewater of a pharmaceutical factory in Sana’a, Yemen. Universal Journal of Pharmaceutical Research, 2(6): 35-41.

Zhang, W., Zhang, M., Lin, K., Sun, W., Xiong, B., Guo, M., Cui, X., and Fu, R. 2012. Eco-toxicological effect of Carbamazepine on Scenedesmus obliquus and Chlorella pyrenoidosa. Environmental toxicology and pharmacology, 33(2), 344-352.