| Literature DB >> 28979245 |
Darío R Olicón-Hernández1, Jesús González-López1,2, Elisabet Aranda1,2.
Abstract
Pharmaceuticals represent an immense business with increased demand due to intensive livestock raising and an aging human population, which guarantee the quality of human life and well-being. However, the development of removal technologies for these compounds is not keeping pace with the swift increase in their use. Pharmaceuticals constitute a potential risk group of multiclass chemicals of increasing concern since they are extremely frequent in all environments and have started to exhibit negative effects on micro- and macro-fauna as well as on human health. In this context, fungi are known to be extremely diverse and poorly studied microorganisms despite being well suited for bioremediation processes, taking into account their metabolic and physiological characteristics for the transformation of even highly toxic xenobiotic compounds. Increasing studies indicate that fungi can transform many structures of pharmaceutical compounds, including anti-inflammatories, β-blockers, and antibiotics. This is possible due to different mechanisms in combination with the extracellular and intracellular enzymes, which have broad of biotechnological applications. Thus, fungi and their enzymes could represent a promising tool to deal with this environmental problem. Here, we review the studies performed on pharmaceutical compounds biodegradation by the great diversity of these eukaryotes. We examine the state of the art of the current application of the Basidiomycota division, best known in this field, as well as the assembly of novel biodegradation pathways within the Ascomycota division and the Mucoromycotina subdivision from the standpoint of shared enzymatic systems, particularly for the cytochrome P450 superfamily of enzymes, which appear to be the key enzymes in these catabolic processes. Finally, we discuss the latest advances in the field of genetic engineering for their further application.Entities:
Keywords: Ascomycota; Basidiomycota; Mucoromycotina; cytochrome P450; emerging contaminants
Year: 2017 PMID: 28979245 PMCID: PMC5611422 DOI: 10.3389/fmicb.2017.01792
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Pharmaceutical compounds considered emerging contaminants.
| α-methylphenethylamine (Amphetamine) (C9H13N) | 135.21 | 30-62-9 | Slightly | Urban and hospital wastewater | |
| N-methylamphetamine (Methamphetamine) (C10H15N) | 149.23 | 537-46-2 | 5 × 105 mg/L at 25°C | ||
| Acetaminophen (Paracetamol) (C8H9NO2) | 151.165 | 103-90-2 | 1.4 × 104 mg/L at 25°C | Human intake and excretion in municipal wastewater, hospitals and pharmaceutical waste, and landfills | |
| Carbamazepine (C15H12N2O) | 236.274 | 298-46-4 | 18 mg/L at 25°C | ||
| Ciprofloxacin (C17H18FN3O3) | 331.347 | 85,721-33-1 | 3 × 104 mg/L at 20°C | ||
| Clofibric acid (C10H11ClO3) | 214.645 | 882-09-7 | 583 mg/L at 20°C | ||
| Diazepam (C16H13ClN2O) | 284.743 | 439-14-5 | 66 mg/L at 25°C | ||
| Diclofenac (C14H11Cl2NO2) | 296.147 | 15,307-86-5 | 2.37 mg/L at 25°C | ||
| Flumequine (C14H12FNO3) | 261.252 | 42,835-25-6 | 2.19 mg/mL at 25°C | ||
| Furosemide (C12H11ClN2O5S) | 330.739 | 54-31-9 | >1 mg/mL at 25°C | ||
| Gemfibrozil (C15H22O3) | 250.338 | 25,812-30-0 | 11 mg/L at 25°C | ||
| Ibuprofen (C13H18O2) | 206.285 | 15,687-27-1 | 21 mg/L at 25°C | ||
| Metoprolol (C15H25NO3) | 267.369 | 51384-51-1 | 1.6 × 104 mg/L at 25°C | ||
| Naproxen (C14H14O3) | 230.263 | 22,204-53-1 | 15.9 mg/L at 25°C | ||
| Omeprazole (C17H19N3O3S) | 345.417 | 73,590-58-6 | 3.54 × 10−2 mg/mL at 25°C | ||
| Sulfamethoxazole (C10H11N3O3S) | 253.276 | 723-46-6 | 610 mg/L at 37°C | ||
| Triclosan (C12H7Cl3O2) | 289.536 | 3,380-34-5 | 10 mg/L at 20°C | ||
| Trimethoprim (C14H18N4O3) | 290.323 | 738-70-5 | 400 mg/L at 25°C | ||
| Valproic acid (C8H16O2) | 144.214 | 99-66-1 | 2.0 × 103 mg/L at 20°C | ||
| Warfarin (C19H16O4) | 308.333 | 81-81-2 | 1.7 × 10−2 mg/mL at 20°C | ||
| Benzophenone (C13H10O) | 182.222 | 119-61-9 | 1.37 × 102 mg/L at 25°C | Domestic and industry effluents. | |
| Ethylhexyl methoxycinnamate (C18H26O3) | 290.403 | 5466-77-3 | 0.2 mg/L at 20°C | ||
| Galaxolide (C18H26O) | 258.405 | 1,222-05-5 | 1.75 mg/L at 25°C | ||
| 17-beta-estradiol (C18H24O2) | 272.388 | 50-28-2 | 3.90 mg/L at 27°C | Human and veterinary treatment. Hospital and domestic effluent | |
| Estriol (C18H24O3) | 288.387 | 50-27-1 | 27.34 mg/L at 25°C | ||
| Estrona(C18H22O2) | 270.372 | 53-16-7 | 12.42 mg/L at 25°C | ||
| Mestranol (C21H26O2) | 310.437 | 72-33-3 | 1.132 mg/L at 25°C | ||
| Bisphenol A(C15H16O2) | 228.291 | 80-05-7 | 300 mg/L at 25°C | Various | |
| Nonylphenol(C15H24O) | 220.356 | 25,154-52-3 | 600 mg/L at 25°C | ||
| Titanium dioxide (TiO2) | 79.865 | 13,463-67-7 | less than 1 mg/mL at 25°C | ||
The data were gathered from the (NCBI) in the PubChem database .
Figure 1Different mechanisms of fungi to counteract with emerging contaminants, case of diclofenac: (A) bioadsorption, (B) hydrophobin production, (C) metal interaction, (D) extracellular enzymatic system, (E) intracellular enzymatic system.
Figure 2Pathways in the degradation of ciprofloxacin by different phyla of fungi according to Parshikov et al. (2001), Parshikov et al. (2002a), Prieto et al. (2011), and Čvančarová et al. (2015).
Figure 3Percentage of relative abundance of some reported Cytochrome P450 enzymes related with fungal biodegradation (A) and phylogenetic distribution of CYP52 (B), CYP505 (C), CYP53 (D), and CYP5208 (E), which are involved in xenobiotic transformations, among Basidiomycota, Ascomycota divisions and Mucoromycotina subdivision. Some fungal species related to the biodegradation of emerging contaminants are highlighted. The phylogenetic distribution is different in each case, depending on the alignments of proteins, according to the abundance of reported CYP in fungi (central graph, A). Protein sequences were taken from the database UniProt (Pundir et al., 2015). The BLAST and multiple alignment tools (http://blast.ncbi.nlm.nih.gov/Blast.cgi) were used to detect protein sequence similarities with sequences of fungal species deposited at GenBank. Evolutionary analyses were conducted in Clustal W and Clustal X programs (Larkin et al., 2007) provided by EMBL-EBI bioinformatics (Li et al., 2015a) with neighbor-joining as clustering method. The figure was edited and constructed using MEGA 7 (Hall, 2013), AliView (Larsson, 2014), and Dendroscope 3 (Huson and Scornavacca, 2012) tools.
Figure 4Spectra of pharmaceutically active compounds were studied in Cunninghamella elegans by different authors.