Next Article in Journal
Involvement of the Membrane Nanodomain Protein, AtFlot1, in Vesicular Transport of Plasma Membrane H+-ATPase in Arabidopsis thaliana under Salt Stress
Previous Article in Journal
Serosal Adhesion Ex Vivo of Hydrogels Prepared from Apple Pectin Cross-Linked with Fe3+ Ions
Previous Article in Special Issue
Antibacterial and Antifouling Efficiency of Essential Oils-Loaded Electrospun Polyvinylidene Difluoride Membranes
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 24
Issue 2
10.3390/ijms24021250
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genotypic and Phenotypic Detection of Polyhydroxyalkanoate Production in Bacterial Isolates from Food

by
Daniela Máčalová
1,
Magda Janalíková
1,
Jana Sedlaříková
2,
Iveta Rektoříková
1,
Marek Koutný
1 and
Pavel Pleva
1,*
1
Department of Environmental Protection Engineering, Faculty of Technology, Tomas Bata University in Zlin, 275 Vavreckova, 76001 Zlin, Czech Republic
2
Department of Fat, Surfactant and Cosmetics Technology, Faculty of Technology, Tomas Bata University in Zlin, 275 Vavreckova, 76001 Zlin, Czech Republic
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(2), 1250; https://doi.org/10.3390/ijms24021250
Submission received: 30 November 2022 / Revised: 22 December 2022 / Accepted: 5 January 2023 / Published: 8 January 2023
(This article belongs to the Special Issue SMART and Macromolecular Biomaterials: From Materials to Biology)
Browse Figures
Review Reports Versions Notes

Abstract

:
Polyhydroxyalkanoates (PHAs) are widely used in medical and potentially in other applications due to their biocompatibility and biodegradability. Understanding PHA biosynthetic pathways may lead to the detection of appropriate conditions (substrates) for producing a particular PHA type by a specific microbial strain. The aim of this study was to establish a method enabling potentially interesting PHA bacterial producers to be found. In the study, all four classes of PHA synthases and other genes involved in PHA formation (fabG, phaA, phaB, phaG, and phaJ) were detected by PCR in 64 bacterial collection strains and food isolates. Acinetobacter, Bacillus, Cupriavidus, Escherichia, Klebsiella, Lelliottia, Lysinibacillus, Mammaliicoccus, Oceanobacillus, Pantoea, Peribacillus, Priestia, Pseudomonas, Rahnella, Staphylococcus, and Stenotrophomonas genera were found among these strains. Fructose, glucose, sunflower oil, and propionic acid were utilized as carbon sources and PHA production was detected by Sudan black staining, Nile blue staining, and FTIR methods. The class I synthase and phaA genes were the most frequently found, indicating the strains’ ability to synthesize PHA from carbohydrates. Among the tested bacterial strains, the Pseudomonas genus was identified as able to utilize all tested carbon sources. The Pseudomonas extremorientalis strain was determined as a prospect for biotechnology applications.

1. Introduction

Polyhydroxyalkanoates (PHAs) are a group of biodegradable, biocompatible polyesters that some microorganisms can synthesize in inclusions as energy storage molecules. Based on the number of carbons, PHAs are classified as short-chain-length (scl) PHAs with 3–5 carbons, medium-chain-length (mcl) PHAs with 6–14 carbons, and long-chain-length (lcl) PHAs with more than 15 carbons [1]. Due to these monomer composition variations, these polymers can have various properties, e.g., mechanical characteristics. Scl PHAs are inelastic and fragile polymers, which is due to their higher crystallinity. The elasticity of PHAs increase with the number of carbons in the monomers. To obtain ideal properties for a given application, copolymers with different monomers can be formed. Due to their biodegradability, PHAs have the potential for use as a packaging material and in the production of agricultural films [2,3]. It is likely that over time, PHAs will even partially replace typical packaging materials such as polyethylene, polypropylene, and polyethylene terephthalate [4]. Another advantage is the biocompatibility of PHAs with blood and tissues [5]. As a result, PHAs can be used in a wide range of commercial and biomedical applications [6,7]. However, the cost of PHA is still substantially higher than that of commonly used polymers for common applications such as packaging, so there is an effort to reduce the cost of these materials [8]. Options for the price reduction include using waste materials and searching for new, more capable microbial producers [9]. Understanding biosynthetic pathways can also help to reduce the cost and to optimize application-specific PHAs [10].
Several biosynthetic pathways of PHA have been described [11]. Only the pathways investigated here are described in the following text and Figure 1. The resulting metabolism and the formation of a given type of PHA depends on the nutritional status of the given microorganism [12].
PHAs can be synthetized from related substrates that serve as monomer precursors. The resulting PHA then, in general, corresponds to the original substrate. Most of these precursors are different variants of fatty acids processed by PHA producers into PHA monomers using the β-oxidation enzymatic pathway. This PHA synthesis pathway is important for producing mcl PHAs [13]. Intermediate products of β-oxidation (enoyl-CoA and 3-ketoacyl-CoA) can be used to form PHA by other enzymes. In branch A (Figure 1), 3-ketoacyl-CoA is used to produce PHA via 3-ketoacyl reductase (FabG), forming R-3-hydroxyacyl-CoA PHA monomers [14]. Pathway B (Figure 1) shows the use of enoyl-CoA by the R-specific enoyl hydratase (phaJ) to form PHA monomers [15].
Ijms 24 01250 g001 550
Figure 1. PHA biosynthetic pathways: (A,B) Production of PHAs from related carbon sources via β-oxidation; (C,D) production of scl PHAs from unrelated carbon sources; (E) production of mcl PHAs via fatty acid synthesis. (FabG: 3-ketoacyl reductase; PhaA: 3-ketothialase; PhaB: NADPH acetoacetyl-CoA reductase; PhaC: PHA synthase; PhaG: hydroxyacyl-ACP specific thioesterase; PhaJ: R-specific enoyl hydratase; PHA: polyhydroxyalkanoate; P(3HB): poly(3-hydroxybutyrate); and P(3HV): poly(3-hydroxyvalerate)). (Adapted from [14,15,16,17,18]).
Figure 1. PHA biosynthetic pathways: (A,B) Production of PHAs from related carbon sources via β-oxidation; (C,D) production of scl PHAs from unrelated carbon sources; (E) production of mcl PHAs via fatty acid synthesis. (FabG: 3-ketoacyl reductase; PhaA: 3-ketothialase; PhaB: NADPH acetoacetyl-CoA reductase; PhaC: PHA synthase; PhaG: hydroxyacyl-ACP specific thioesterase; PhaJ: R-specific enoyl hydratase; PHA: polyhydroxyalkanoate; P(3HB): poly(3-hydroxybutyrate); and P(3HV): poly(3-hydroxyvalerate)). (Adapted from [14,15,16,17,18]).
Ijms 24 01250 g001
Carbohydrates, i.e., glucose, are another substrate that can produce scl PHAs. At the beginning of the pathway, glucose is metabolized in glycolysis to form pyruvate. During the aerobic growth, pyruvate is converted to acetyl-CoA. In pathway C (Figure 1), two molecules of acetyl-CoA are then condensed by 3-ketothialase (PhaA) to form acetoacetyl-CoA, which is subsequently reduced by NADPH acetoacetyl-CoA reductase (PhaB) to form hydroxybutyryl-CoA. The final step is the polymerization of hydroxybutyryl-CoA by PHA synthase (PhaC) to form poly(3-hydroxybutyrate) (P(3HB)) [16]. Pathway D (Figure 1) shows a way to produce poly(3-hydroxyvalerate) (P(3HV)) from succinyl-CoA formed in the tricarboxylic acid cycle. Succinyl-CoA is converted to 2-(R)-methylmalonyl-CoA by coenzyme B12-dependent methylmalonyl CoA mutase (Sbm), which is subsequently converted to propionyl-CoA by methylmalonyl-CoA decarboxylase (YgfG). Propionyl-CoA is then converted to 3-ketovaleryl-CoA and subsequently to (R)-3-hydroxyvaleryl-CoA by PhaB, which subsequently produces P(3HV) [17].
There are several pathways for mcl PHA biosynthesis from various carbon sources based on fatty acid synthesis. Unlike β-oxidation, which shortens fatty acyl substrates by two carbons to release acetyl-CoA in each cycle and where all intermediates are linked to CoA, fatty acid synthesis elongates the molecules by two carbons per cycle via intermediates linked to acyl carrier protein (ACP). Pathway E (Figure 1) utilizes the intermediate (R)-3-hydroxyacyl-ACP, which is transformed by hydroxyacyl-ACP specific thioesterase (PhaG) to release (R)-3-hydroxyalkanoic acid. This hydroxy acid can be activated by acyl-CoA synthase (AlkK) to form (R)-3-hydroxyacyl-CoA, which is subsequently used in PHA polymerization [18].
For the formation of PHA, a necessary enzyme in all mentioned pathways is PHA synthase, which polymerizes the monomer units and releases CoA. PHA synthases are divided into four classes, distinguished by their primary sequences, substrate specificity, and subunit composition [19]. Class I and II synthases are formed from one PhaC subunit, class III forms a heterodimer from PhaC–PhaE subunits, and class IV forms a heterodimer from PhaC–PhaR subunits [20]. Class I, III, and IV synthases favor short-chain monomers, thus preferentially producing scl PHAs. Interestingly, class II prefers medium length monomers, thus producing mcl PHAs [21].
The aim of this study was to identify PHA synthases and other genes involved in PHA production (fabG, phaA, phaB, phaG, and phaJ) in bacterial isolates from food to distinguish strains that can produce PHA from certain substrates. PHA production was verified using glucose, fructose, sunflower oil, and propionic acid as substrates.

2. Results

Sixty strains were obtained by isolation from fruits, vegetables, meat, and dairy products. These isolates were identified by MALDI-TOF or 16S rRNA sequencing (Table S1). The identification revealed that a total of seven families were detected, of which there were fourteen strains of Bacillaceae, twenty-six strains of Enterobacteriaceae, six strains of Moraxellaceae, nine strains of Pseudomonadaceae, two strains of Staphylococcaceae, and three strains of Xanthomonadaceae. Screening of genes was performed with designed groups of primers in three different multiplex PCRs (2.2). Cupriavidus necator ATCC 17699, Pseudomonas aeruginosa ATCC 27853, and Pseudomonas mendocina ATCC 25411 were positive for some detected genes, and these strains were then used as controls (Table 1). According to Montenegro et al. [22], Escherichia coli DH5α was used as a negative control.
The results of the identification, genotypic, and phenotypic detection of PHA production are shown in Table 2, Table 3 and Table S1. Twenty-six strains were classified into the family Enterobacteriaceae (genera Escherichia, Klebsiella, Lelliottia, Pantoea, and Rahnella) from food of plant origin. However, only Escherichia coli strains were found in foods of animal origin. Fourteen strains of the family Bacillaceae were assigned into genera Bacillus, Lysinibacillus, Oceanobacillus, Peribacillus, and Priestia. All six strains from the family Moraxellaceae belong to the Acinetobacter calcoaceticus species. They were isolated from lettuce, celery stalk, and white cabbage. Nine strains isolated from fruit and vegetables were classified into the family Pseudomonadaceae as genera Pseudomonas, e.g., P. extremorientalis and P. oryzihabitans. Two Stenotrophomonas maltophilia strains were isolated from white radish and dairy products and S. rhizophila was isolated from beetroot. Two strains were assigned into the family Staphylococcaceae, and taxons Staphylococcus succinus and Mammaliicoccus sciuri were identified from white cabbage and cucumber.
The most frequently found PHA synthase genes were of class I (phaSyn1), which was detected in 42% of the tested bacteria (Table 2).
Of the other genes involved in PHA production, phaA was found in 45% of the monitored strains. This frequent occurrence indicates that the tested bacteria most often utilized the sugar substrates to form scl PHAs, which was subsequently confirmed by the phenotype tests. Conversely, class II of the PHA synthase gene (phaSyn2) and phaG were the least present; they were present only in 5% of strains. Class II of the PHA synthase gene was only found in the Pseudomonadaceae family; therefore, it is likely that strains of this family will be able to produce mcl PHA.
The utilization of substrates (glucose, fructose, propionic acid, and sunflower oil) for PHA production was tested by Sudan black staining, Nile blue staining, and FTIR detection. Figure 2 shows the results of the Sudan black staining, where the dye binds strongly to the PHA granules and should remain linked even after the subsequent ethanol wash. As a result, the colonies of producers are dark and non-producing colonies are decolored. The staining with Nile blue (Figure 2) is based on the same principle, but PHA production is determined under ultraviolet light, where PHA-producing colonies are fluorescent. As staining might be unreliable, PHA production was also detected by FTIR. Figure 2 shows the FTIR spectra from in situ PHA detection. In the spectra of PHA producers, the main absorption peak at 1735 cm−1 corresponds to a C=O group, and characteristic peaks in the range of 1200 to 900 cm−1 can be assigned to C-O-C. Due to the possible deficiencies of the phenotypic detection methods, strains were considered positive for PHA production by using a certain substrate only if it was confirmed by at least two methods.
Table 3 shows the results from the phenotypic detection of PHA production in food isolates and collection strains. As can be seen, about 30% of the tested strains were able to utilize carbohydrates (fructose and glucose) for PHA production. Conversely, sunflower oil was utilized by the lowest number of tested strains (10%). Among representatives of the families Pseudomonadaceae and Staphylococcaceae, the ability to produce PHA was always detected with at least one from all tested substrates. However, only three strains from the Pseudomonadaceae family could utilize all four tested substrates. Among 32 representatives from the Bacillaceae, Enterobacteriaceae, Moraxellaceae, and Xanthomonadaceae families, the ability to use at least one of the tested substrates for PHA production was not detected. Despite this finding, some of them may be capable of production from other substrates that were not included in the tests in this study.
As can be seen in Table 2, genes of PHA synthase class I, III, and IV (phaSyn1, phaSyn3, and phaSyn4), phaA, phaB, and fabG, were detected in the Bacillaceae family. These results indicate the ability to produce scl PHAs from carbohydrates as well as from related carbon sources via β-oxidation. However, phenotypic detection (Table 3) revealed only the ability to utilize fructose, glucose, and propionic acid. More than one-third of Bacillus strains were able to produce PHA only from saccharides.
From the Burkholderiaceae family, only the collection strain Cupriavidus necator ATCC 17699 was investigated in this study. Class I PHA synthase genes, phaA, and phaB were detected in this strain (Table 2), indicating the ability to use carbohydrates, which was also proven phenotypically (Table 3). Unlike the minority strains from the Burkholderiaceae family, the strains from the Enterobacteriaceae family were the most numerous, i.e., 27 strains. Nevertheless, only nine strains could use one of the tested substrates (Table 3). All six representatives from the Moraxellaceae family were identified as Acinetobacter calcoaceticus (Table S1). The probable ability to produce scl PHAs from related and unrelated carbon sources was genetically demonstrated for this species (Table 2). Phenotypic tests confirmed this suggestion; PHA production was also verified from all tested sources except for glucose (Table 3). All screened genes, except PHA synthase class IV, were found in the Pseudomonadaceae family (Table 2). Due to the presence of these genes, Pseudomonadaceae produced PHA from all tested carbon sources (Table 3). The most detected genes and the ability to produce PHA from all sources were proven in the Pseudomonas extremorientalis strain, which has tremendous potential for use in biotechnology. The production of PHA from each substrate was equally proven in the family Staphylococcaceae (Table 3), although only class I of PHA synthase and phaJ genes were detected (Table 2). Perhaps these products were produced by a different biosynthetic pathway than those observed. Unlike strains from the Staphylococcaceae family, members of the family Xanthomonadaceae could only utilize fructose for PHA production (Table 3).
When comparing the results of the molecular detection with the phenotypic detection in individual strains, PHA production was correctly predicted by PCR in almost 60% of strains. The prediction efficiency could be improved by increasing the number of tested substrates and monitoring more biosynthetic pathways.

3. Discussion

The molecular detection and subsequent phenotypic verification of the production of PHA can lead to the understanding of the biosynthetic pathways and thus to the prediction of the appropriate substrate and the resulting type of PHA formed. As a result, new producing strains may be discovered presenting a cheaper and more available substrate, leading to lower production costs of PHAs [10,30].
In this study, the genes of all four classes of PHA synthases: phaC (class I and II), phaE (class III), and phaR (class IV), which catalyze the polymerization of monomeric units, were screened [19]. Furthermore, screening of other genes involved in the biosynthesis of PHA was performed. Specifically, genes were involved in the production of scl PHAs from unrelated sources such as sugars (phaA and phaB) [16,17], in the production of PHAs from related sources by β-oxidation (fabG and phaJ) [14], and in the production of mcl PHAs from unrelated sources via the fatty acid synthesis pathway (phaG) [18]. Subsequently, the ability to produce PHA from glucose, fructose, sunflower oil, and propionic acid was monitored. PHA can be synthesized from propionic acid by the pathway from both related (fabG and phaJ) and unrelated (phaA and phaB) sources [31].
A total of 64 strains from seven families were investigated. A class IV PHA synthase gene was detected in the Bacillaceae family; as has also been shown in other studies [28,32]. The ability to use lignocellulosic biological waste and sugars to create homopolymers and copolymers was demonstrated [33] in Bacillus spp. This ability to create homopolymers and copolymers is probably due to the proven presence of phaA, phaB, and fabG genes and the utilization of both sugars and propionic acid. This result was confirmed by the research of Mohandas et al. [34], who demonstrated the ability to produce P(3HB-co-3HV) in Bacillus cereus. The resulting copolymer contained 12 mol.% of P(3HV) when using crude glycerol; however, propionic acid increased the production of P(3HV) by 30 mol.%. It seems that the synthesis of an application-specific polymer, including homopolymer P(3HB), can be achieved with a suitably chosen substrate composition. The production of P(3HB) homopolymer by Bacillus thuringiensis and Bacillus cereus from glucose was demonstrated in a study by Ray and Kalia [35]. The ability to use inexpensive substrates from waste transformer oil, waste-derived volatile fatty acids, and other types of waste were reported [30,36]. Priestia megaterium was identified among the isolates which produced PHA from sugars and propionic acid. This interesting strain is useful for producing small molecules such as vitamin B12, polymers such as P(3HB), and even protein, and is suitable for biotechnological applications [37]. A major advantage of the Bacillaceae family is the absence of endotoxins in the outer membrane and that PHAs obtained from them are suitable for medical applications [38].
As with the Bacillaceae family, a representative of the Burkholderiaceae family (Cupriavidus neactor ATCC 17699) was demonstrated to utilize fructose, glucose, and propionic acid. Cupriavidus neactor is one of the most studied PHA producers. Previous studies have demonstrated the presence of all found genes (PHA synthase class I, phaA, and phaB) in this bacterium [39]. Various substrates such as food waste-derived volatile fatty acids, polyethylene from waste Tetra Pak packaging, and starchy waste were used in the low-cost PHA production [40,41].
The largest tested family was Enterobacteriaceae, in which genes involved in PHA production were detected in almost 90% of the strains; however, only over 30% were phenotypically proven to produce PHA. Escherichia coli is considered a non-PHA-producing bacterium; therefore, it is used to create recombinant PHA-producing strains [42,43]. However, PHA production was detected in the species involved in this study. Although recent papers have not demonstrated the production ability of Escherichia coli, some wild strains may produce PHA in response to stressful conditions. In further studies, it would be appropriate to focus on these strains, verify the production by other methods, and characterize the eventual products. None of the searched genes were detected in Klebsiella oxytoca; however, the ability to utilize propionic acid was demonstrated. Previous works showed the ability to produce PHA from xylose in the genus Klebsiella [44]. Furthermore, members of the genus Klebsiella produced P(3HB-co-3HV) from hardwood sulfite [45]. Consequently, the genus Klebsiella seems to produce PHA by a different pathway than those described in this study. Other genera from this family were Pantoea and Rahnella, which could not use the tested substrates. Nevertheless, this genus ranks among the documented PHA producers [46,47]. Therefore, the production is probably strain-dependent. On the other hand, Lelliottia amnigena produced PHA from propionic acid; however, this strain has not been investigated in earlier studies.
In Acinetobacter calcoaceticus, the genes that predicted the ability to synthesize PHA from related and unrelated sources were found, and production from fructose, sunflower oil, and propionic acid was confirmed. The production of scl and mcl PHAs from oil and sugars has previously been detected in Acinetobacter sp. [48]. Most of the monitored genes were found in the Pseudomonadaceae family. The members of this family utilize a variety of substrates [49]. Class II of PHA synthase, detected in several strains, is typical of the genus Pseudomonas and can generate mcl PHAs [50]. For example, Rai et al. [51] produced poly(3-hydroxyoctanoate) (P(3HO)) from sodium octanoate using Pseudomonas mendocina. The members of this family can advantageously use waste carbohydrates and oils, which can lead to a reduction in PHA production costs [52]; additionally, they can even utilize pollutants (e.g., phenol) to produce PHA [53].
The Staphylococcaceae family produced PHA from all substrates tested. Utilization of diverse substrates was found by Wong et al. [9], in which Staphylococcus epidermis produced P(3HB) from malt, milk, sesame oil, soybean waste, and vinegar. Class I of the PHA synthase gene demonstrated in this study may allow them to make this product. The last family included in this study was Xanthomonadaceae, in which genes involved in PHA production from both carbohydrates and fats were revealed. However, the PHA production was phenotypically observed only from fructose. Nevertheless, the ability to produce PHA from glucose, wood chips, cardboard cutouts, plastic bottle cutouts, shredded polystyrene cups, plastic bags, and potato starch has been described in the literature [54]. Therefore, it is possible that the production is again strain dependent.
As PHA production from diverse substrates was detected in this study and their biosynthetic pathways were revealed, future experiments would be appropriate to characterize these products and monitor the effect of substrate combinations on the resulting mechanical properties and thereby establish conditions for application-specific PHA production. Additionally, the utilization of waste sources by proven producers could be tested, which would reduce production costs.

4. Materials and Methods

4.1. Materials and Chemicals

The collection strains—Cupriavidus necator ATCC 17699, Pseudomonas aeruginosa ATCC 27853, and Pseudomonas mendocina ATCC 25411—were provided by the Czech Collection of Microorganisms (CCM, Brno, Czech Republic). Escherichia coli DH5α was obtained from Takara Bio Europe SAS, Paris, France.
Stenotrophomonas maltophilia strain was isolated from a dairy product and provided by the Dairy Research Institute in Prague (Prague, Czech Republic). The other 59 bacterial strains were isolated from fruits, vegetables, and meat bought at the local market in the Czech Republic (Table S1). Ten grams of food sample was homogenized in 90 mL of sterile saline solution and spread on the plates with the selective media: Baird-Parker Agar, Endo Agar, Pseudomonas Selective Agar (Sigma-Aldrich, St. Louis, MO, USA), Clostridium Agar, M17 Agar, Mannitol Salt Agar, Violet Red Bile Agar (HiMedia Laboratories GmbH, Mumbai, Maharashtra, India), and MRS agar (Oxoid, Basingstoke, UK) and incubated at 30 or 37 °C for 24 h.
Selected isolates were identified by Microflex MALDI-TOF MS mass spectrophotometery (Bruker Daltonics, Bremen, Germany). Samples for MALDI-TOF identification were prepared by mixing the bacterial culture with 150 μL of sterile distilled water and 450 μL of 96% ethanol (Lach-Ner, Neratovice, Czech Republic). Then, the samples were centrifuged for 2 min at 14,000 rpm. After centrifugation, the supernatant was separated, and the pellets were re-centrifuged. The remains of the supernatant were removed and the pellets were dried. The pellets were mixed with 10 μL of 70% formic acid (Merck KGaA, Darmstadt, Germany) and 10 μL of acetonitrile (Sigma-Aldrich, St. Louis, MO, USA). The suspensions were centrifuged at 14,000 rpm for 2 min and 1 μL of the supernatants was applied to the MALDI plate. Following drying, every sample was overlaid with 1 μL of HCCA (2-Cyano-3-(4-hydroxyphenyl) acrylic acid) (Bruker Daltonics, Bremen, Germany) matrix and dried again. The resulting samples were ionized with a nitrogen laser (wavelength of 337 nm and frequency of 20 Hz). The results were evaluated by the MALDI Biotyper 3.0 identification database (Bruker Daltonics, Billerica, MD, USA) [55]. Bacterial strains with a score value lower than 2.000 were subjected to 16S rRNA sequencing.
Strains were cultivated in brain heart infusion agar or M17 agar media (both HiMedia Laboratories GmbH, Mumbai, Maharashtra, India). Mineral agar media containing 20 g/L of carbon (glucose, fructose, propionic acid, or sunflower oil (Sigma-Aldrich, St. Louis, MO, USA)) was used for phenotypic screening. The composition of the mineral agar media was 3 g (NH4)2SO4, 11.1 g Na2HPO4·12H2O, 1.05 g KH2PO4, 0.2 g MgSO4·7H2O, 1 mL solution of trace elements, and 15 g agar (Sigma-Aldrich, St. Louis, MO, USA) per liter of distilled water. One liter of solution of trace elements contained 9.7 g FeCl3·6H2O, 7.8 g CaCl2·2H2O, 0.156 g CuSO4·5H2O, 0.119 g CoCl2·6H2O, 0.118 g NiCl2·6H2O, and 0.1 g ZnSO4·7H2O in 0.1 M HCl. Tween 80 (Sigma-Aldrich, St. Louis, MO, USA) (5 g/L) was added into a mineral agar media with sunflower oil as an emulsifier. Levels of the mineral agar media pH were adjusted to 7.
Primers were designed to detect genes involved in PHA production using Primer3 (v. 0.4.0, Singapore). Gene sequences were obtained from the European Nucleotide Archive (for genes phaJ and phaG) and the National Center for Biotechnology Information (for the remaining primers) were used to design the primers. In addition, fabGF and fabGR primers were used to detect the fabG gene [25]. All primers and the size of PCR products are listed in Table 4.

4.2. Molecular Detection

Isolation of DNA was performed using a NucleoSpin Tissue kit (Macherey-Nagel, Düren, Germany). The purity and concentration of the isolated DNA were verified spectrophotometrically at 260 and 280 nm by a Tecan Infinite® 200 PRO (Tecan, Männedorf, Switzerland). After isolation, 1 µL (for the detection of one or two genes) or 2 µL (for the detection of three or more genes) of DNA was mixed with 10 µL GoTaq® Hot Start Green Master Mix (Promega, Madison, WI, USA) and 25 µM of each primer (Eastport–Metabion, Prague, the Czech Republic). The PCR reaction was performed in Aeris™ thermocycler (ESCO, Singapore). The PCR program is shown in Table 5.
An optimal annealing temperature of 65 °C was determined by gradient PCR, and suitable groups of primers were created: four pairs of primers detecting PHA synthases (phaSyn1, phaSyn2, phaSyn3, and phaSyn4), three pairs of primers for phaB, phaG, and phaJ genes and two pairs of primers for fabG and phaA genes. Subsequent gene screening of bacterial isolates was carried out using this optimized multiplex PCR method.
Following the PCR reaction, PCR products were resolved by agarose gel electrophoresis on 1.5% agarose gel (Lonza, Rockland, ME, USA) and visualized with GelRed™ (Biotium, Fremont, CA, USA; 10 µL/100 mL of gel). PeqGOLD 100 bp Plus (VWR Peqlab, Erlangen, Germany) was used as a DNA marker.

4.3. Phenotypic Detection

4.3.1. Nile Blue Staining

The tested bacteria were cultivated in mineral agar media containing 20 g/L of the carbon source (glucose, fructose, propionic acid, or sunflower oil) for 72 h. Then, the bacterial colonies were stained with 0.05% Nile blue (Sigma-Aldrich, St. Louis, MO, USA) solution in ethanol (Lach-Ner, Neratovice, Czech Republic) for 20 min in the dark. After staining, detection was performed under UV light, where cells accumulating PHA exhibited fluorescence [56,57].

4.3.2. Sudan Black Staining

After 72 h of bacterial cultivation in mineral agar media containing 20 g/L of the carbon source (glucose, fructose, propionic acid, or sunflower oil), the bacterial colonies were stained with 0.02% Sudan black solution in ethylene glycol (Sigma-Aldrich, St. Louis, MO, USA) for 30 min. Then, stained colonies were washed with 96% ethanol (Lach-Ner, Neratovice, Czech Republic). PHA producers were identified according to dark colonies and non-producing bacterial strains were decolored [58,59].

4.3.3. Fourier Transform Infrared Spectroscopy

Detection of PHA production by Fourier transform infrared (FTIR) spectroscopy was performed according to Arcos-Hernandez et al. [60]. After 72 h of bacterial cultivation in mineral agar media containing 20 g/L of the carbon source (glucose, fructose, propionic acid, or sunflower oil), the bacterial colonies were collected, suspended in 1 mL of isotonic saline (9 g/L NaCl (Sigma-Aldrich, St. Louis, MO, USA)), and centrifuged at 15,000× g for 5 min. After centrifugation, the supernatant was separated and the bacterial pellets were washed with 90 µL of isotonic saline and re-centrifuged. The supernatant was again separated and the bacterial pellets were resuspended in 80 µL of isotonic saline. After that, the bacterial suspension was centrifuged once more, and a small amount of wet bacterial pellet was collected using an inoculation loop and spread into a thin layer on a microscopic glass slide. The slides were dried at 105 °C for 5 min and then Fourier transform infrared spectroscopy (FTIR) analysis was performed on Nicolet iS10 (Thermo Fisher Scientific, Waltham, MA, USA) in ATR mode fitted with a diamond crystal. The data were evaluated with OMNIC 8 software (Thermo Fisher Scientific, Waltham, MA, USA). Measurement conditions were 32 scans at the resolution of 4 cm−1 and in the range of 4000 to 500 cm−1.

5. Conclusions

In this study, genes of all four classes of PHA synthase and other genes involved in PHA production (fabG, phaA, phaB, phaG, and phaJ) were screened in 64 bacterial collection strains and food isolates. Subsequently, the ability to produce PHA from fructose, glucose, sunflower oil, and propionic acid was tested using Sudan black staining, Nile blue staining, and FTIR detection. Class I of PHA synthase and phaA were detected most frequently (in more than 40% of strains), which suggests the ability to produce scl PHAs from unrelated sources, such as carbohydrates. Phenotypically, this ability was confirmed in around 30% of the samples. The most diverse genes were found in the genus Pseudomonas. Pseudomonas extremorientalis is the most promising PHA producer among all tested strains from all tested carbon sources and is therefore suitable for further study to reveal its biotechnological potential.

Supplementary Materials

The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24021250/s1.

Author Contributions

Conceptualization, P.P. and M.J.; methodology, J.S., I.R. and D.M.; software, P.P.; validation, M.K.; formal analysis, M.J.; investigation, D.M., I.R. and P.P.; resources, D.M.; data curation, D.M. and P.P.; writing—original draft preparation, D.M.; writing—review and editing, M.J., M.K. and P.P.; visualization, P.P. and D.M.; supervision, M.K., J.S. and P.P.; project administration, M.J. and P.P. All authors have read and agreed to the published version of the manuscript.

Funding

The authors acknowledge the support given by the Internal Grant Agency of Tomas Bata University in Zlin (project no. IGA/FT/2022/006).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We would like to thank Miroslava Kačániová for the assistance of identification of bacteria using MALDI-TOF at the Slovak University of Agriculture in Nitra. Furthermore, we would like to thank the Dairy Research Institute in Prague for providing the bacterial isolate from the milk product.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Khanna, S.; Srivastava, A.K. Recent Advances in Microbial Polyhydroxyalkanoates. Process Biochem. 2005, 40, 607–619. [Google Scholar] [CrossRef]
  2. Chen, G.-Q. Biofunctionalization of Polymers and Their Applications. In Biofunctionalization of Polymers and Their Applications; Springer: Berlin/Heidelberg, Germany, 2011; pp. 29–45. ISBN 978-3-642-21948-1. [Google Scholar]
  3. Gómez-Gast, N.; Cuellar, M.D.R.L.; Vergara-Porras, B.; Vieyra, H. Biopackaging Potential Alternatives: Bioplastic Composites of Polyhydroxyalkanoates and Vegetal Fibers. Polymers 2022, 14, 1114. [Google Scholar] [CrossRef]
  4. Kosior, E.; Messias, R.; Fowler, P. Lightweight Compostable Packaging: Literature Review; The Waste; Resources Action Programme: Banbury, UK, 2006. [Google Scholar]
  5. Sharma, S.K.; Mudhoo, A. Handbook of Applied Biopolymer Technology; Royal Society of Chemistry: Cambridge, UK, 2011; ISBN 978-1-84973-151-5. [Google Scholar]
  6. Kumar, A.; Srivastava, J.K.; Mallick, N.; Singh, A.K. Commercialization of Bacterial Cell Factories for the Sustainable Production of Polyhydroxyalkanoate Thermoplastics: Progress and Prospects. Recent Pat. Biotechnol. 2015, 9, 4–21. [Google Scholar] [CrossRef] [PubMed]
  7. Pulingam, T.; Appaturi, J.N.; Parumasivam, T.; Ahmad, A.; Sudesh, K. Biomedical Applications of Polyhydroxyalkanoate in Tissue Engineering. Polymers 2022, 14, 2141. [Google Scholar] [CrossRef] [PubMed]
  8. Gadgil, B.S.T.; Killi, N.; Rathna, G.V.N. Polyhydroxyalkanoates as Biomaterials. MedChemComm 2017, 8, 1774–1787. [Google Scholar] [CrossRef]
  9. Wong, P.A.L.; Cheung, M.K.; Lo, W.-H.; Chua, H.; Yu, P.H.F. Investigation of the Effects of the Types of Food Waste Utilized as Carbon Source on the Molecular Weight Distributions and Thermal Properties of Polyhydroxybutyrate Produced by Two Strains of Microorganisms. E-Polymers 2004, 4, 1–11. [Google Scholar] [CrossRef] [Green Version]
  10. Tan, G.-Y.; Chen, C.-L.; Li, L.; Ge, L.; Wang, L.; Razaad, I.; Li, Y.; Zhao, L.; Mo, Y.; Wang, J.-Y. Start a Research on Biopolymer Polyhydroxyalkanoate (PHA): A Review. Polymers 2014, 6, 706. [Google Scholar] [CrossRef] [Green Version]
  11. Lu, J.; Tappel, R.C.; Nomura, C.T. Mini-Review: Biosynthesis of Poly(hydroxyalkanoates). Polym. Rev. 2009, 49, 226–248. [Google Scholar] [CrossRef]
  12. Steinbüchel, A.; Hein, S. Biochemical and Molecular Basis of Microbial Synthesis of Polyhydroxyalkanoates in Microorganisms. In Biopolyesters; Springer: Berlin/Heidelberg, Germany, 2001; pp. 81–123. ISBN 978-3-540-41141-3. [Google Scholar]
  13. Witholt, B.; Kessler, B. Perspectives of Medium Chain Length Poly(hydroxyalkanoates), a Versatile Set of Bacterial Bioplastics. Curr. Opin. Biotechnol. 1999, 10, 279–285. [Google Scholar] [CrossRef]
  14. Nomura, C.T.; Tanaka, T.; Eguen, T.E.; Appah, A.S.; Matsumoto, K.; Taguchi, S.; Ortiz, C.L.; Doi, Y. FabG Mediates Polyhydroxyalkanoate Production from Both Related and Nonrelated Carbon Sources in Recombinant Escherichia Coli LS5218. Biotechnol. Prog. 2008, 24, 342–351. [Google Scholar] [CrossRef]
  15. Tsuge, T.; Fukui, T.; Matsusaki, H.; Taguchi, S.; Kobayashi, G.; Ishizaki, A.; Doi, Y. Molecular Cloning of Two (r)-Specific Enoyl-CoA Hydratase Genes from Pseudomonas Aeruginosa and Their Use for Polyhydroxyalkanoate Synthesis. FEMS Microbiol. Lett. 2000, 184, 193–198. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Lenz, R.W.; Marchessault, R.H. Bacterial Polyesters: Biosynthesis, Biodegradable Plastics and Biotechnology. Biomacromolecules 2005, 6, 1–8. [Google Scholar] [CrossRef] [PubMed]
  17. Aldor, I.S.; Kim, S.-W.; Prather, K.L.J.; Keasling, J.D. Metabolic Engineering of a Novel Propionate-Independent Pathway for the Production of Poly(3-Hydroxybutyrate-Co-3-Hydroxyvalerate) in Recombinant Salmonella Enterica Serovar Typhimurium. Appl. Environ. Microbiol. 2002, 68, 3848–3854. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Satoh, Y.; Murakami, F.; Tajima, K.; Munekata, M. Enzymatic Synthesis of Poly(3-Hydroxybutyrate-Co-4-Hydroxybutyrate) with CoA Recycling Using Polyhydroxyalkanoate Synthase and Acyl-CoA Synthetase. J. Biosci. Bioeng. 2005, 99, 508–511. [Google Scholar] [CrossRef]
  19. Rehm, B.H.A. Polyester Synthases: Natural Catalysts for Plastics. Biochem. J. 2003, 376, 15–33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Rehm, B.H.A. Biogenesis of Microbial Polyhydroxyalkanoate Granules: A Platform Technology for the Production of Tailor-Made Bioparticles. Curr. Issues Mol. Biol. 2007, 9, 41–62. [Google Scholar] [CrossRef] [Green Version]
  21. Chek, M.F.; Kim, S.-Y.; Mori, T.; Arsad, H.; Samian, M.R.; Sudesh, K.; Hakoshima, T. Structure of Polyhydroxyalkanoate (PHA) Synthase PhaC from Chromobacterium Sp. USM2, Producing Biodegradable Plastics. Sci. Rep. 2017, 7, 5312. [Google Scholar] [CrossRef] [Green Version]
  22. Montenegro, E.; Delabary, G.; Silva, M.; Andreote, F.; Lima, A. Molecular Diagnostic for Prospecting Polyhydroxyalkanoate-Producing Bacteria. Bioengineering 2017, 4, 52. [Google Scholar] [CrossRef] [Green Version]
  23. Pohlmann, A.; Fricke, W.F.; Reinecke, F.; Kusian, B.; Liesegang, H.; Cramm, R.; Eitinger, T.; Ewering, C.; Pötter, M.; Schwartz, E.; et al. Genome Sequence of the Bioplastic-Producing “Knallgas” Bacterium Ralstonia eutropha H16. Nat. Biotechnol. 2006, 24, 1257–1262. [Google Scholar] [CrossRef] [Green Version]
  24. Mezzolla, V.; D’Urso, O.; Poltronieri, P. Role of PhaC Type i and Type II Enzymes during PHA Biosynthesis. Polymers 2018, 10, 910. [Google Scholar] [CrossRef]
  25. Ren, Q.; Sierro, N.; Witholt, B.; Kessler, B. FabG, an NADPH-Dependent 3-Ketoacyl Reductase of Pseudomonas aeruginosa, Provides Precursors for Medium-Chain-Length Poly-3-Hydroxyalkanoate Biosynthesis in Escherichia coli. J. Bacteriol. 2000, 182, 2978–2981. [Google Scholar] [CrossRef] [Green Version]
  26. Tsuge, T.; Taguchi, K.; Seiichi; Taguchi; Doi, Y. Molecular Characterization and Properties of (r)-Specific Enoyl-CoA Hydratases from Pseudomonas aeruginosa: Metabolic Tools for Synthesis of Polyhydroxyalkanoates via Fatty Acid ß-Oxidation. Int. J. Biol. Macromol. 2003, 31, 195–205. [Google Scholar] [CrossRef] [PubMed]
  27. Lucas, S.; Copeland, A.; Lapidus, A.; Glavina del Rio, T.; Dalin, E.; Tice, H.; Pitluck, S.; Chain, P.; Malfatti, S.; Shin, M.; et al. Complete sequence of Stenotrophomonas maltophilia R551-3. Available online:https://www.ncbi.nlm.nih.gov/nuccore/NC_011071.1?report=genbank&from=2718240&to=2719304&strand=true (accessed on 29 November 2022).
  28. Tsuge, T.; Hyakutake, M.; Mizuno, K. Class IV Polyhydroxyalkanoate (PHA) Synthases and PHA-Producing Bacillus. Appl. Microbiol. Biotechnol. 2015, 99, 6231–6240. [Google Scholar] [CrossRef]
  29. Ohji, S.; Yamazoe, A.; Hosoyama, A.; Tsuchikane, K.; Ezaki, T.; Fujita, N. The Complete Genome Sequence of Pseudomonas putida NBRC 14164 t Confirms High Intraspecies Variation. Genome Announc. 2014, 2, e00029-14. [Google Scholar] [CrossRef] [Green Version]
  30. Idris, S.; Rahim, R.A.; Amirul, A.-A.A. Bioprospecting and Molecular Identification of Used Transformer Oil-Degrading Bacteria for Bioplastics Production. Microorganisms 2022, 10, 583. [Google Scholar] [CrossRef]
  31. Lee, S.-E.; Li, Q.X.; Yu, J. Diverse Protein Regulations on PHA Formation in Ralstonia eutropha on Short Chain Organic Acids. Int. J. Biol. Sci. 2009, 5, 215–225. [Google Scholar] [CrossRef] [Green Version]
  32. McCool, G.J.; Cannon, M.C. Polyhydroxyalkanoate Inclusion Body-Associated Proteins and Coding Region in Bacillus megaterium. J. Bacteriol. 1999, 181, 585–592. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Singh, M.; Kumar, P.; Patel, S.K.S.; Kalia, V.C. Production of Polyhydroxyalkanoate Co-Polymer by Bacillus thuringiensis. Indian J. Microbiol. 2013, 53, 77–83. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Mohandas, S.P.; Balan, L.; Jayanath, G.; Anoop, B.S.; Philip, R.; Cubelio, S.S.; Singh, I.S.B. Biosynthesis and Characterization of Polyhydroxyalkanoate from Marine Bacillus cereus MCCB 281 Utilizing Glycerol as Carbon Source. Int. J. Biol. Macromol. 2018, 119, 380–392. [Google Scholar] [CrossRef] [PubMed]
  35. Ray, S.; Kalia, V.C. Polyhydroxyalkanoate Production and Degradation Patterns in Bacillus Species. Indian J. Microbiol. 2017, 57, 387–392. [Google Scholar] [CrossRef]
  36. Kacanski, M.; Pucher, L.; Peral, C.; Dietrich, T.; Neureiter, M. Cell Retention as a Viable Strategy for PHA Production from Diluted VFAs with Bacillus megaterium. Bioengineering 2022, 9, 122. [Google Scholar] [CrossRef]
  37. Biedendieck, R.; Knuuti, T.; Moore, S.J.; Jahn, D. The “Beauty in the Beast”—The Multiple Uses of Priestia megaterium in Biotechnology. Appl. Microbiol. Biotechnol. 2021, 105, 5719–5737. [Google Scholar] [CrossRef]
  38. Edilane, M.F.; de Lima Procópio Aldo, R.; Raimundo, C.P.J.; Sandra, P.Z.; de Lima Procópio Rudi, E. Polyhydroxyalkanoate (PHA) Production by Lysinibacillus sp. Strain UEA-20.171. Afr. J. Biotechnol. 2016, 15, 1827–1834. [Google Scholar] [CrossRef] [Green Version]
  39. Sagong, H.-Y.; Son, H.F.; Choi, S.Y.; Lee, S.Y.; Kim, K.-J. Structural Insights into Polyhydroxyalkanoates Biosynthesis. Trends Biochem. Sci. 2018, 43, 790–805. [Google Scholar] [CrossRef]
  40. Vu, D.H.; Mahboubi, A.; Root, A.; Heinmaa, I.; Taherzadeh, M.J.; Åkesson, D. Thorough Investigation of the Effects of Cultivation Factors on Polyhydroalkanoates (PHAs) Production by Cupriavidus necator from Food Waste-Derived Volatile Fatty Acids. Fermentation 2022, 8, 605. [Google Scholar] [CrossRef]
  41. Ekere, I.; Johnston, B.; Tchuenbou-Magaia, F.; Townrow, D.; Wojciechowski, S.; Marek, A.; Zawadiak, J.; Duale, K.; Zieba, M.; Sikorska, W.; et al. Bioconversion Process of Polyethylene from Waste Tetra Pak® Packaging to Polyhydroxyalkanoates. Polymers 2022, 14, 2840. [Google Scholar] [CrossRef] [PubMed]
  42. Favaro, L.; Basaglia, M.; Casella, S. Improving Polyhydroxyalkanoate Production from Inexpensive Carbon Sources by Genetic Approaches: A Review. Biofuels Bioprod. Biorefin. 2019, 13, 208–227. [Google Scholar] [CrossRef] [Green Version]
  43. Srirangan, K.; Liu, X.; Tran, T.T.; Charles, T.C.; Moo-Young, M.; Chou, C.P. Engineering of Escherichia coli for Direct and Modulated Biosynthesis of Poly(3-Hydroxybutyrate-Co-3-Hydroxyvalerate) Copolymer Using Unrelated Carbon Sources. Sci. Rep. 2016, 6, 36470. [Google Scholar] [CrossRef] [Green Version]
  44. Lopes, M.S.G.; Rocha, R.C.S.; Zanotto, S.P.; Gomez, J.G.C.; da Silva, L.F. Screening of Bacteria to Produce Polyhydroxyalkanoates from Xylose. World J. Microbiol. Biotechnol. 2009, 25, 1751–1756. [Google Scholar] [CrossRef]
  45. Ferreira, A.M.; Queirós, D.; Gagliano, M.C.; Serafim, L.S.; Rossetti, S. Polyhydroxyalkanoates-Accumulating Bacteria Isolated from Activated Sludge Acclimatized to Hardwood Sulphite Spent Liquor. Ann. Microbiol. 2016, 66, 833–842. [Google Scholar] [CrossRef]
  46. Gasser, I.; Müller, H.; Berg, G. Ecology and Characterization of Polyhydroxyalkanoate-Producing Microorganisms on and in Plants. FEMS Microbiol. Ecol. 2009, 70, 142–150. [Google Scholar] [CrossRef]
  47. Kumar, V.; Thakur, V.; Ambika; Kumar, S.; Singh, D. Bioplastic Reservoir of Diverse Bacterial Communities Revealed along Altitude Gradient of Pangi-Chamba Trans-Himalayan Region. FEMS Microbiol. Lett. 2018, 365, fny144. [Google Scholar] [CrossRef] [Green Version]
  48. Elsayed, N.S.; Aboshanab, K.M.; Aboulwafa, M.M.; Hassouna, N.A. Cost-Effective Production of the Bio-Plastic Poly-Beta-Hydroxybutyrate Using Acinetobacter baumannii Isolate P39. J. Microbiol. Biotechnol. Food Sci. 2016, 05, 552–556. [Google Scholar] [CrossRef] [Green Version]
  49. Pereira, J.R.; Araújo, D.; Marques, A.C.; Neves, L.A.; Grandfils, C.; Sevrin, C.; Alves, V.D.; Fortunato, E.; Reis, M.A.M.; Freitas, F. Demonstration of the Adhesive Properties of the Medium-Chain-Length Polyhydroxyalkanoate Produced by Pseudomonas chlororaphis Subsp. Aurantiaca from Glycerol. Int. J. Biol. Macromol. 2019, 122, 1144–1151. [Google Scholar] [CrossRef]
  50. Mozejko-Ciesielska, J.; Szacherska, K.; Marciniak, P. Pseudomonas Species as Producers of Eco-Friendly Polyhydroxyalkanoates. J. Polym. Environ. 2019, 27, 1151–1166. [Google Scholar] [CrossRef] [Green Version]
  51. Rai, R.; Yunos, D.M.; Boccaccini, A.R.; Knowles, J.C.; Barker, I.A.; Howdle, S.M.; Tredwell, G.D.; Keshavarz, T.; Roy, I. Poly-3-Hydroxyoctanoate p(3HO), a Medium Chain Length Polyhydroxyalkanoate Homopolymer from Pseudomonas mendocina. Biomacromolecules 2011, 12, 2126–2136. [Google Scholar] [CrossRef]
  52. Fernández, D.; Rodríguez, E.; Bassas, M.; Viñas, M.; Solanas, A.M.; Llorens, J.; Marqués, A.M.; Manresa, A. Agro-Industrial Oily Wastes as Substrates for PHA Production by the New Strain Pseudomonas aeruginosa NCIB 40045: Effect of Culture Conditions. Biochem. Eng. J. 2005, 26, 159–167. [Google Scholar] [CrossRef]
  53. Kanavaki, I.; Drakonaki, A.; Geladas, E.D.; Spyros, A.; Xie, H.; Tsiotis, G. Polyhydroxyalkanoate (PHA) Production in Pseudomonas sp. phDV1 Strain Grown on Phenol as Carbon Sources. Microorganisms 2021, 9, 1636. [Google Scholar] [CrossRef] [PubMed]
  54. Iqbal, B.; Khan, N.; Jamil, N. Polyhydroxybutyrate Production by Stenotrophomonas and Exiguobacterium Using Renewable Carbon Source. Annu. Res. Rev. Biol. 2016, 9, 1–9. [Google Scholar] [CrossRef]
  55. Kačániová, M.; Klúga, A.; Kántor, A.; Medo, J.; Žiarovská, J.; Puchalski, C.; Terentjeva, M. Comparison of MALDI-TOF MS Biotyper and 16S rDNA sequencing for the identification of Pseudomonas species isolated from fish. Microb. Pathog. 2019, 132, 313–318. [Google Scholar] [CrossRef] [PubMed]
  56. Kitamura, S.; Doi, Y. Staining Method of Poly(3-Hydroxyalkanoic Acids) Producing Bacteria by Nile Blue. Biotechnol. Tech. 1994, 8, 345–350. [Google Scholar] [CrossRef]
  57. Godbole, S. Methods for Identification, Quantification and Characterization of Polyhydroxyalkanoates. Int. J. Bioassays 2016, 5, 4977–4983. [Google Scholar] [CrossRef]
  58. Schlegel, H.G.; Lafferty, R.; Krauss, I. The Isolation of Mutants Not Accumulating Poly-β-Hydroxybutyric Acid. Arch. Für Mikrobiol. 1970, 71, 283–294. [Google Scholar] [CrossRef]
  59. Liu, M.; González, J.E.; Willis, L.B.; Walker, G.C. A Novel Screening Method for Isolating Exopolysaccharide-Deficient Mutants. Appl. Environ. Microbiol. 1998, 64, 4600–4602. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Arcos-Hernandez, M.V.; Gurieff, N.; Pratt, S.; Magnusson, P.; Werker, A.; Vargas, A.; Lant, P. Rapid Quantification of Intracellular PHA Using Infrared Spectroscopy: An Application in Mixed Cultures. J. Biotechnol. 2010, 150, 372–379. [Google Scholar] [CrossRef] [PubMed]
Ijms 24 01250 g002 550
Figure 2. Phenotypic detection of PHA production: Nile blue staining; Sudan black staining; and detection by FTIR (A) Cupriavidus neactor ATCC 17699, (B) Pseudomonas extremorientalis are PHA+ and (C) Escherichia coli DH5α is PHA−.
Figure 2. Phenotypic detection of PHA production: Nile blue staining; Sudan black staining; and detection by FTIR (A) Cupriavidus neactor ATCC 17699, (B) Pseudomonas extremorientalis are PHA+ and (C) Escherichia coli DH5α is PHA−.
Ijms 24 01250 g002
Table
Table 1. The list of strains (collection and food isolates) with detected genes used as positive controls for multiplex PCRs.
Table 1. The list of strains (collection and food isolates) with detected genes used as positive controls for multiplex PCRs.
StrainGenesRelated References
Cupriavidus necator ATCC 17699phaA, phaB, phaC (class I)[23]
Pseudomonas mendocina ATCC 25411phaC (class II)[24]
Pseudomonas aeruginosa ATCC 27853phaJ, fabG[25,26]
Stenotrophomonas maltophiliaphaE (class III)[27]
Priestia megateriumphaR (class IV)[28]
Pseudomonas putidaphaG[29]
Table
Table 2. Genotypic detection of four classes of PHA synthases and other genes involved in PHA formation (%) in food isolates and collection strains from seven families.
Table 2. Genotypic detection of four classes of PHA synthases and other genes involved in PHA formation (%) in food isolates and collection strains from seven families.
% *nphaSyn1phaSyn2phaSyn3phaSyn4phaAphaBphaGfabGphaJ
Total6442.24.710.915.645.318.84.712.510.9
Enterobacteriaceae2751.90.00.018.574.111.13.73.73.7
Bacillaceae1414.30.07.128.621.414.30.07.10.0
Pseudomonadaceae1145.527.327.30.036.427.318.236.427.3
Moraxellaceae633.30.016.70.016.733.30.016.716.7
Xanthomonadaceae333.30.066.733.30.033.30.033.333.3
Staphylococcaceae2100.00.00.00.00.00.00.00.050.0
Burkholderiaceae1100.00.00.00.0100.0100.00.00.00.0
* Percentage of positive strains from each family.
Table
Table 3. Phenotypic detection of PHA production (%) from four different carbon sources (feedstock) in food isolates and collection strains from seven families.
Table 3. Phenotypic detection of PHA production (%) from four different carbon sources (feedstock) in food isolates and collection strains from seven families.
% *nFeedstock
FructoseGlucoseSunflower OilPropionic Acid
Total6429.728.19.426.6
Enterobacteriaceae273.73.70.022.2
Bacillaceae1442.935.70.028.6
Pseudomonadaceae1172.790.936.436.4
Moraxellaceae616.70.016.716.7
Xanthomonadaceae333.30.00.00.0
Staphylococcaceae250.050.050.050.0
Burkholderiaceae1100.0100.00.0100.0
* Percentage of positive strains from each family.
Table
Table 4. Used primers and sizes of their PCR products.
Table 4. Used primers and sizes of their PCR products.
PrimerGenePrimer Sequence (5′–3′)Product Size (bp)Ref.
phaAFphaACCATGACCATCAACAAGGTG262This study
phaARTATTCCTTGGCCACGTTCTC
phaBFphaBAATGTGGCTGACTGGGACTC164This study
phaBRGAGGTCAGGTTGGTGTCGAT
phaSyn1FphaC
(Class I)		TGCGCAACATGATGGAAGAC204This study
phaSyn1RAGTACTTGTTGATGCACGGC
phaSyn2FphaC
(Class II)		TACATCGAGGCGCTCAAGGA594This study
phaSyn2RGCCGAACAGATGAGCCGATT
phaSyn3FphaE
(Class III)		CAGTGGATGCTGCAGGGC463This study
phaSyn3RGCAGGCCGATACGTTCACTC
phaSyn4FphaR
(Class IV)		AAATGAAGTAACGGGGCGCT326This study
phaSyn4RCCTGAAGCTGCTCACCTTGA
phaJFphaJCGAGTACACCAGCAGCATCG287This study
phaJRGGTTCTTCGGCAGCTTCTCG
fabGFfabGTGGCTCGAGAGAGAGAAAGGAGA750[25]
fabGRTTCCGCAACGAATTCTAGAC
phaGFphaGAGAAGGCAGTGGTGAGTTCG425This study
phaGRACAGGCGGTCTTGTTTTCCA
Table
Table 5. The PCR program.
Table 5. The PCR program.
Step NameTemperature (°C)Time (min)Number of Cycles
Initial denaturation9551
Denaturation950.540
Annealing650.5
Elongation721
Final elongation72101
Cooling4∞1
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Máčalová, D.; Janalíková, M.; Sedlaříková, J.; Rektoříková, I.; Koutný, M.; Pleva, P. Genotypic and Phenotypic Detection of Polyhydroxyalkanoate Production in Bacterial Isolates from Food. Int. J. Mol. Sci. 2023, 24, 1250. https://doi.org/10.3390/ijms24021250

AMA Style

Máčalová D, Janalíková M, Sedlaříková J, Rektoříková I, Koutný M, Pleva P. Genotypic and Phenotypic Detection of Polyhydroxyalkanoate Production in Bacterial Isolates from Food. International Journal of Molecular Sciences. 2023; 24(2):1250. https://doi.org/10.3390/ijms24021250

Chicago/Turabian Style

Máčalová, Daniela, Magda Janalíková, Jana Sedlaříková, Iveta Rektoříková, Marek Koutný, and Pavel Pleva. 2023. "Genotypic and Phenotypic Detection of Polyhydroxyalkanoate Production in Bacterial Isolates from Food" International Journal of Molecular Sciences 24, no. 2: 1250. https://doi.org/10.3390/ijms24021250

APA Style

Máčalová, D., Janalíková, M., Sedlaříková, J., Rektoříková, I., Koutný, M., & Pleva, P. (2023). Genotypic and Phenotypic Detection of Polyhydroxyalkanoate Production in Bacterial Isolates from Food. International Journal of Molecular Sciences, 24(2), 1250. https://doi.org/10.3390/ijms24021250

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop