Next Article in Journal
Statistical Analysis of Reproductive Traits in Jinwu Pig and Identification of Genome-Wide Association Loci
Previous Article in Journal
Establishing Embryogenic Tissue Culture Workflow for Pineapple Cultivar 73–50
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Isolation, Enrichment and Analysis of Aerobic, Anaerobic, Pathogen-Free and Non-Resistant Cellulose-Degrading Microbial Populations from Methanogenic Bioreactor

1
Department of Infectious Microbiology, The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
2
Department of General Microbiology, The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
3
Department of Biotechnology, The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
*
Author to whom correspondence should be addressed.
Genes 2025, 16(5), 551; https://doi.org/10.3390/genes16050551
Submission received: 11 April 2025 / Revised: 29 April 2025 / Accepted: 29 April 2025 / Published: 30 April 2025
(This article belongs to the Section Genes & Environments)

Abstract

:
Background: Nowadays, the microbial degradation of cellulose represents a new perspective for reducing cellulose waste from industry and households and at the same time obtaining energy sources. Methods: We isolated and enriched two aerobic (at 37 °C and 50 °C) and one anaerobic microbial consortium from an anaerobic bioreactor for biogas production by continuous subculturing on peptone cellulose solution (PCS) medium supplemented with 0.3% treated or untreated Whatman filter paper under static conditions. Samples were taken every 7 days until day 21 to determine the percentage of cellulose biodegradation. We determined the antimicrobial resistance of aerobic and anaerobic consortia and some single colonies by disc diffusion method, against 42 clinically applied antibiotics. PCR analyses were performed to search for the presence of eight genes for cellulolytic activity and nine genes for antibiotic resistance. By metagenomics analysis, the bacterial and fungal genus distributions in the studied populations were determined. Results: Aerobes cultured at 50 °C degraded cellulose to the greatest extent (47%), followed by anaerobes (24–38%) and aerobes (8%) cultured at 37 °C. The bacterial sequence analysis showed that the dominant phyla are Bacillota and Bacteroidetes and genera—Paraclostridium, Defluvitalea, Anaerobacillus, Acetivibrio, Lysinibacillus, Paenibacillus, Romboutsia, Terrisporobacter, Clostridium, Sporanaerobacter, Lentimicrobium, etc. in a different ratio depending on the cultivation conditions and the stage of the process. Some of these representatives are cellulolytic and hemicellulolytic microorganisms. We performed lyophilization and proved that it is suitable for long-term storage of the most active consortium, which degrades even after the 10th re-inoculation for a period of one year. We proved the presence of ssrA, ssrA BS and blaTEM genes. Conclusions: Our findings demonstrated the potential utility of the microbial consortium of anaerobes in the degradation of waste lignocellulose biomass.

1. Introduction

Nowadays, waste lignocellulosic biomass is one of the biggest environmental problems because it takes up valuable space in landfills. However, it can also serve as a renewable carbon resource for the production of chemicals like carboxylic acids (formic, acetic and succinic acids) and other value-added products like energy (biofuels) [1,2,3]. The textile industry uses approximately 8000 chemicals, including dyes, of which 30 cannot be eliminated by waste treatment and 72 are hazardous and contaminate surface and groundwater resources [4]. The Waste Framework Directive (2008/98/EC) introduces a new procedure for defining end-of-waste criteria [5] and in 2023 revision of the Directive focuses on textile waste [6]. As we all know, textile materials contain a high percentage of cotton, which is also involved in the production of textiles and medical products (gauze, bandages, filter paper, etc.) [7] and other cellulosic materials. Cotton fibers contain approximately 95% cellulose, whereas lignocellulosic biomass contains only 35–50% cellulose [8]. Solid organic cellulose particles from wastewater can be filtered and subjected to biological processing to produce biomethane, which can be used as a source of heat, steam and electricity and can be further processed into vehicle fuel or for the production of chemicals and/or proteins. It can also be used as a household fuel or in fuel cells [9,10,11]. Cellulose is a polysaccharide composed of repeating units of D-glucose linked by β-1,4-glycosidic bonds and it is found in all higher plants as a structural material in cell walls. It is a highly insoluble polymer [12]. Approximately 70% of organic waste containing cellulose is biodegradable. Biological methods for its degradation include microbial fermentation and enzymatic hydrolysis to depolymerize lignocellulosic polysaccharides [13,14]. In addition to cellulose, lignocellulosic materials are known to contain lignin and hemicellulose. Like cellulose, hemicellulose is a macromolecule made up of various sugars, whereas lignin is an aromatic polymer made from precursors of phenylpropanoid [15]. The process occurs either extracellularly or in association with the cell wall layer. There are two kinds of extracellular enzyme systems used by microorganisms. The first type of system is hydrolytic, which generates hydrolases to degrade cellulose and hemicellulose. The second is an oxidative and extracellular ligninolytic system that breaks down lignin. [15]. To function, these enzyme systems must be stable in the environment and resistant to the action of proteolytic agents [15,16].
Recently, many authors have isolated microbial communities that degrade cellulose from different habitats, such as water [17]; soil [17,18,19,20]; fertilizer, cow dung and waste effluent [19]; invertebrates (termite, snail, caterpillar and bookworm [21], hindgut of Holotrichia parallela larvae [22]); groundnut residues, rice straw and rotten wood [23]; decayed corn straw [20], etc. There are reports in the literature about bacterial species that can use cellulose as a carbon source, primarily by producing cellulase [19]. Such species belong to the genera Corynebacterium, Clostridium (C. thermocellum, C. cellulolyticum, C. cellulovorans and C. josui), Cellulomonas, Pseudomonas, Actinomyces, Ruminococcus (R. albus), Fibrobacter (F. succinogenes), as well as Thermobifida fusca [24,25]. The following fungal genera were studied for their cellulolytic enzymes and/or wood-degrading capability: Bulgaria, Chaetomium and Helotium (Ascomycetes); Coriolus, Phanerochaete, Poria, Schizophyllum and Serpula (Basidiomycetes); and Aspergillus, Cladosporium, Fusarium, Geotrichum, Myrothecium, Paecilomyces, Penicillium and Trichoderma (Deuteromycetes) [25], incl. the species Trichoderma viride [26], Trichoderma reesei [26,27], Trichoderma koningii [28] and Phanerochaete chrysosporium [29], etc. The group of cellulase enzymes includes endoglucanase, exoglucanase and β-glucosidase, which act synergistically to completely degrade cellulose into monosaccharide units by breaking down β-1,4-glycosidic bonds [30]. Bacterial cellulases are characterized by high specific activity and stability over high temperature and pH, compared to fungal ones [31,32]. In addition, it is known that bacteria have a higher growth rate than fungi, is resistant to adverse environmental conditions, possess a high level of cellulase synergy, etc., which makes them preferred for various sectors in the industry, such as food, textile, paper, green chemistry, etc. [32,33,34,35]. Microbial consortia are preferable to single strains because microorganisms in a population act synergistically through their cellulases, have high metabolic diversity, and adapt more easily to environmental changes, leading to overall improved productivity. On the other hand, working with microbial consortia is significantly more difficult, as appropriate species must be selected, interspecific interactions must be coordinated, and community activity must be maintained over the long term [3,19,36].
It should be emphasized that, to date, no research team has attempted to achieve 100% biodegradation. This is one of the reasons why more and more researchers, including our team, are working in the area of microbial degradation of cellulose by developing specific approaches for a fast and efficient process. Research is focused on the optimization of key parameters for the growth of microorganisms and the optimization of culture conditions according to the substrates used [37]. In this study, we aimed to isolate and enrich cellulose-degrading microorganisms from a working methanogenic bioreactor under different culture conditions to achieve consortia with high cellulolytic activity and to assess their antibiotic resistance.
After searching, some of the genes related to antibiotic resistance and cellulose biodegradation were validated. Furthermore, genus diversity was estimated by metagenomics analysis.

2. Materials and Methods

2.1. Methanogenic Bioreactor

The source of microorganisms used in the present study was a digestate taken from an anaerobic laboratory-scale bioreactor for biogas production. The work volume of the bioreactor was 15 dm3 and it is operated in once-a-day feeding mode. The bioreactor was equipped with a DC motor for continuously stirring and automated temperature control using a temperature sensor (Pt 100), silicone rubber flexible heating pad and temperature controller to maintain the temperature in the bioreactor at 35 ± 0.5 °C. The process was realized using alkali pre-treated wheat straw as a raw material at OLR = 0.9 g VS/dm3/day.

2.2. Isolation and Enrichment of Microbial Consortia

Before each experiment, a fresh peptone cellulose solution (PCS) medium (0.5% peptone (Merck Milipore, 70169, Burlington, MA, USA), 0.1% yeast extract (Difco, 0127, Detroit, MI, USA), 0.15% CaCO3 (Merck Milipore, 102064, Burlington, MA, USA), 0.5% NaCl (Merck Sigma-Aldrich, S5886, Saint Louis, MI, USA) supplemented with 0.3% pretreated filter paper powder or untreated filter paper in pieces (1 × 1 cm) as an indicator of cellulase activity [22] were prepared.
In experiments with the disc-diffusion test, 1.5% of agar was added to the PCS medium. The probe from the methanogenic bioreactor was cultured in different conditions: aerobic at 37 °C, aerobic at 50 °C and anaerobic conditions in jars by gas-generating GasPakTM EZ bags (Becton, Dickinson and Company, 260678, Sparks, MD, USA) at 37 °C. The anaerobic condition of the medium was validated using Dry Anaerobic Indicator Strips (Becton, Dickinson and Company, 271051, USA).

2.3. Determining the Degree of Filter Paper Degradation

All three enriched microbial consortia were used to determine their cellulolytic activity. Each probe (12 mL) was inoculated into a 50 mL PCS medium supplemented with 0.3% pretreated or untreated filter paper (visual control). Every 7 days for 28 days, 8 mL samples were taken from the flask with powdered filter paper to determine cellulose degradation according to the protocol of Updegraff (1969) [38]. The method is colorimetric (620 nm), simple, rapid and allows determination of cellulose biodegradation. The cellulose residues were extracted with acetic nitric reagent to remove lignin, hemicellulose and xylosans. A final solution of 67% H2SO4 was added to each sample. Cellulose was determined by the anthrone method.
When visible degradation of the filter paper pieces in the culture medium was observed, the consortia were then transferred to new flasks containing powdered filter paper. Samples were taken periodically (every 7 days for 28 days) to quantify the percentage of degraded cellulose.

2.4. Antimicrobial Test

Antimicrobial susceptibility testing was performed via the standard disk diffusion method (the Kirby–Bauer method) according to the protocols of the CLSI [39]. A broad panel of antibiotics were used, and most of the antibiotic disks had quantity of antibiotic according to EUCAST [40]. The antibiotics amoxicillin (25 µg, SD129-1CT), ampicillin (10 µg, SD002-1CT), carbenicillin (100 µg, SD004-1CT), oxacillin (5 µg, SD043-1CT), penicillin G (10 units, SD028-1CT), piperacillin (30 µg, SD066A-1CT), piperacillin/-tazobactam (30–6 µg, SD292E-1CT), ticarcillin (75 µg, SD074-1CT), ticarcillin/clavulanic acid (75/10, SD201-1CT), doxycycline HCl (30 µg, SD012-1CT), tetracycline (30 µg, SD037-1CT), cefamandole (30 µg, SD200-1CT), ceftazidime (10 µg, SD062A-1CT), cefepime (30 µg, SD219-1CT), aztreonam (30 µg, SD212-1CT), ciprofloxacin (5 µg, SD060-1CT), pefloxacin (5 µg, SD070-1CT), levofloxacin (5 µg, SD216-1CT), nalidixic acid (30 µg, SD021-1CT), gentamycin (10 µg, SD016-1CT), streptomycin (10 µg, SD031-1CT), tobramycin (10 µg, SD044-1CT), vancomycin (5 µg, SD155-1CT), erythromycin (15 µg, SD013-1CT), clarithromycin (15 µg, SD192-1CT), chloramphenicol (30 µg, SD006-1CT), colistin (methanesulfonate, 10 µg, SD009-1CT), novobiocin (5 µg, SD121-1CT), trimethoprim/sulfamethoxazole (co-trimoxazole, 1.25–23.75 µg, SD010-1CT) were provided from HiMedia (Mumbai, India). The antibiotics amoxicillin/clavulanic acid (20–10 µg, AUG30C), ceftazidime-avibactam (10–4 µg, CZA14C), ceftolozane/tazobactam (30–10 µg, C/T40), doripenem (10 µg, DOR10C), imipenem (10 µg, IMI10C), meropenem (10 µg, MEM10C), were from Mast Group Ltd. (Bootle, UK) The antibiotics doxycycline (30 µg), amikacin (30 µg), kanamycin (30 µg), rifampin (5 µg), bacitracin (0.07 E), lincomycin (15 µg), were from Bul Bio Ltd. (NCIPD EAD, Sofia, Bulgaria). The results were evaluated according to the cut-off breakpoint values of Manual of BBL Products and Laboratory Procedures [41] and the EUCAST [40], where applicable.

2.5. Long-Term Storage by Lyophilisation

We performed lyophilisation of 10 mL inoculum after centrifugation (5000 rpm for 5 min) in 250 µL 10% SM (HiMedia, GRM1254, Mumbai, India) in a vertical freeze dryer (BIOBASE Group, BKFD18P, Jinan, China) for long-term storage in serum vials of 10 mL volume (WHEATON, 6521251, Millville, NJ, USA) with 3-leg rubber stopper (WHEATON, 4663296, Millville, NJ, USA). The vials were covered with aluminium caps (WHEATON, 6252785, Millville, NJ, USA) by crimping (Fisherbrand™, 11550525, Schwerte, Germany).

2.6. Isolation of rRNA

Total rRNA from the aerobic, anaerobic and lyophilized anaerobic actively degrading cellulose culture was isolated by GeneMATRIX Universal RNA Purification Kit (EURx Ltd., E3598, Gdańsk, Poland). Concentrations of rRNA were measured on a Thermo Scientific NanoDrop Lite Spectrophotometer (Temecula, CA, USA) and standardized according to the manufacturer’s protocol. We performed reverse transcription with iScript™ Select cDNA Synthesis Kit (Bio-Rad Laboratories, Inc., 170-8896, Hercules, CA, USA).

2.7. Conventional PCR

For detection of cellulose-specific genes (CbpA, EngH, EngM, EngE, ExgS, SsrA BS, SsrA and XynA) and genes for antimicrobial resistance (ESBLs-TEM, QnrA, QnrB, QnrB60, Aac(3)-IV, BlaSHV, BlaTEM, AmpC and ErmB), we used Color Perpetual Taq PCR Master Mix (2×) (E2745, EURx Ltd., Gdansk, Poland) and the following sequences (Table 1). PCR program included the following: initial denaturation (5 min at 95 °C); 30 cycles of denaturation (1 min at 95 °C), annealing (1 min at a different temperature depending on the melting temperature (Tm) and extension (1 min/kb at 72 °C); final extension (7 min at 72 °C) and cooling (∞ at 4 °C).

2.8. Metagenomic Sequencing

2.8.1. Amplicon Sequencing of the Bacterial 16S rRNA Gene and the Fungal ITS2 Region

Total genomic DNA was extracted from 5 mL of bioreactor samples using the DNeasy® 96 PowerSoil® Pro Kit (Qiagen, Venlo, The Netherlands), following the manufacturer’s instructions.

2.8.2. Library Preparation for 16S Metagenomic Sequencing

Library preparation for the bacterial 16S rRNA gene sequencing was performed by using the 16S Metagenomic Sequencing Library Preparation Kit (Part # 15,044,223 Rev., Illumina). PCR amplification of the bacterial V3–V4 hypervariable region of the 16S rRNA gene was performed using the widely adopted universal primers: 341F: 5′-CCTACGGGNGGCWGCAG-3′ and 805R: 5′-GACTACHVGGGTATCTAATCC-3′, as described by Klindworth et al. (2013) [63]. For fungi, the ITS2 region was amplified using the universal primers: ITS3: 5′-GCATCGATGAAGAACGCAGC-3′ and ITS4: 5′-TCCTCCGCTTATTGATATGC-3′, following the protocols established by Yurkov et al. (2023) [64]. After PCR amplification, amplicons were purified using magnetic bead-based cleanup (AMPure XP, Beckman Coulter, Brea, CA, USA) and sequenced on the Illumina MiSeq platform (2 × 300 bp paired-end) at Macrogen Inc. (Seoul, Republic of Korea).

2.8.3. Data Preprocessing and ASV Generation

Initial quality assessment of the raw sequencing data was conducted using FastQC and MultiQC to ensure that the sequence data met quality standards. Adapter and primer sequences were removed with Cutadapt (v3.2) [65], and reads were trimmed to 250 bp (forward) and 200 bp (reverse) to ensure uniformity across all samples. High-resolution amplicon sequence variance (ASV) generation was performed using DADA2 (v1.18.0) [66]. Reads with expected error rates ≥2 were discarded. An error model was inferred for each sequencing run, and noisy reads were denoised accordingly. Paired-end reads were merged, and chimeric sequences were removed using the removeBimeraDenovo function in consensus mode. ASVs shorter than 350 bp were filtered out using R (v4.0.3). For downstream microbial community comparisons, samples were normalized via subsampling to the lowest read count using QIIME (v1.9.0) [67].

2.8.4. Taxonomic Assignment

Taxonomic assignment of each ASV was carried out by using BLAST+ (v2.9.0) [68] against the NCBI 16S and NCBI ITS reference databases, with thresholds of query coverage >85% and identity >85%. Only the top hit was retained for each ASV.

2.8.5. Community Composition Visualization

Relative abundances of bacterial and fungal taxa were calculated by normalizing ASV counts to the total sequences in each sample. Taxonomic ranks (genera) were aggregated, and bar plots showing the percentage composition of microbial communities were generated using the phyloseq (v1.34.0) and ggplot2 (v3.3.3) packages in R (v4.0.3).

2.9. Statistical Analysis

The results of determining the percentage of degraded cellulose and antibiotic sensitivity were performed in triplicate and presented as average values ± standard deviation (SD), where it is possible. Experimental data were analyzed statistically using ANOVA. Statistical significance was defined as a p-value < 0.05.

3. Results

3.1. Cellulose Biodegradation

We compared three isolated and cultured at different conditions microbial consortia—aerobic at 37 °C and 50 °C and anaerobic at 37 °C (Figure 1).
The aerobic consortium cultivated at 50 °C degrades cellulose to the greatest extent (47.3%) for 28 days, followed by the anaerobic (24.4%) and aerobic at 37 °C (8.4%) populations. Between the 21st and 28th day, the difference in the percentage of cellulose degradation is not more than 5%. Based on this result, we decided that the recultivation should be carried out on the 21st day so that the consortia be able to preserve their cellulolytic activity and to continue biodegradation of the filter paper. The aerobic population, which was cultured at 37 °C, degraded cellulose up to the reculture 5, while that at 50 °C degraded cellulose up to the reculture 4. The anaerobic consortium degraded filter paper by the reculture 10. It is important to note that it is not economically viable to maintain a high temperature like 50 °C, and therefore, we decided to cease the experiments with this community. Figure 2 shows the anaerobic biodegradation of cellulose from three microbial recultures (recultures 5–7).
An increase in the percentage of degraded cellulose is observed upon inoculation on day 21, from 21.45 to 37.94%.

3.2. Antimicrobial Resistance

We performed a screening for antimicrobial resistance of aerobic and anaerobic consortia, which were cultivated on PCS agar and BHA at 37 °C, against 41 antibiotics listed in Table 2.
The results demonstrated that the anaerobic population was more resistant (41.5%) to clinically applied antibiotics (100%), compared to aerobes (29.3%). Aerobic and anaerobic consortia were resistant to oxacillin, ceftazidime, ceftolozane/tazobactam, cefepime, doripenem, aztreonam, nalidixic acid, streptomycin, bacitracin, colistin (methanesulfonate) and lincomycin. Aerobics were also resistant to ceftazidime-avibactam, while the anaerobic population was also resistant to pefloxacin, levofloxacin, kanamycin, rifampin, novobiocin and trimethoprim/sulfamethoxazole.

3.3. Detection of Cellulose-Specific Genes and Genes for Antimicrobial Resistance

We performed conventional PCR for the detection of genes related to cellulose biodegradation with primers, specific for Clostridium cellulovorans and Bacillus subtilis (Figure 3A). Additionally, multiplex PCR was carried out to prove the presence of chromosomal and plasmid-encoded genes for antimicrobial resistance in Escherichia coli (Figure 3B). The experiment was carried out in order to check whether previous conjugation with E. coli has given the consortium bacteria antimicrobial resistance.
Moreover, we tested the anaerobic population after lyophilization, which again degraded the filter paper into pieces, i.e., the activity was retained, for carrying a total of eight genes for cellulolytic activity. They were positive for transfer-messenger RNA gene in C. cellulovorans and B. subtilis. The two consortia were checked for the presence of nine genes for antibiotic resistance. Only the blaTEM β-lactam-resistant gene was detected among the anaerobic cultivated consortium.

3.4. Metagenome Analysis

The bacterial and fungal genus distributions in the three consortia (aerobes at 37 °C and 50 °C, and anaerobes at 37 °C) were studied (Figure 4).
A similarity of the representative species between the anaerobic and aerobic populations cultivated at 37 °C from the genera Paraclostridium (3.26% and 3.05% cDNA, respectively), Clostridium (8.53% and 4.82% cDNA, respectively), Romboutsia (10.11% and 10.20% cDNA, respectively), Lentimicrobium (4.91% and 8.58% cDNA, respectively), Terrisporobacter (8.14% and 2.25% cDNA, respectively) and Hydrogenophaga (0.65% and 5.63% cDNA, respectively) was found. Only genus Alcalitalea is represented in the three populations (between 3.34 and 4.88% cDNA in the two aerobic consortia and 1.09% cDNA in the anaerobic consortium). In the aerobic population cultured at 50 °C dominated Haloplasma spp. (7.49% cDNA), Acetivibrio spp. (8.86% cDNA), Defluvitalea spp. (14.26% cDNA) and Paenibacillus spp. (6.30% cDNA). Between aerobes at 37 °C and 50 °C, there were also similarities (Lysinibacillus spp. − 24.19% and 2.57%, respectively).
Interestingly, fungal representatives were also found in the three consortia, most of which were unclassified. Only two genera were found in the aerobic and anaerobic consortia at 37 °C—Trichosporon (0.02% and 0.24% ASV, respectively) and Mrakia (0.02% and 0.14% ASV, respectively). The diversity of different fungal representatives in the anaerobic consortium is impressive. We found also species in the anaerobic population from the genera Microdochium (0.21% ASV), Trebouxia (0.25% ASV), Piniphoma (0.35% ASV), Acantholus (0.38% ASV), Cladosporium (0.38% ASV), Cutaneotrichosporon (0.42% ASV), Wallemia (0.50% ASV), Filobasidium (0.68% ASV) and Neosetophoma (0.85% ASV).

4. Discussion

4.1. Cellulose Biodegradation

The present study represents a combined approach of isolation, enrichment and analysis, which aims to obtain an active microbial community that demonstrates and retains its cellulose-degrading capacity for a long period of time, as well as to be free from resistant pathogens. The enrichment process contributes to the selectivity of microorganisms to the cultivation conditions, which has an impact on the composition and structure of each consortium [69]. Of course, the main influence is the raw material from which the consortium is isolated, as well as the source of cellulose. In this regard, researchers obtain different percentages and rates of cellulose biodegradation. For example, Feng et al. (2011) isolated a microbial consortium from the soil, and after enrichment, it can degrade more than 51% of non-sterilized raw corn stover powder or 81% of non-sterilized filter paper within 8 days at 40 °C under facultative anoxic conditions [69]. Another consortium reduced the corn straw weight by 48% compared to that at 24 days [18]. Gad et al. (2024) [19] isolated single colonies from different cellulose sources, examined their cellulolytic potential, and combined the most active colonies into two consortia that degraded filter paper by 46.15% and 43.76% in 2 days. The first consists of Cellulomonas uda and Pseudomonas citronellolis, and the second of C. uda and P. jinjuensis. Li et al. (2024) [20] also isolated a single fungal species and checked it for cellulolytic activity. The fungal strain Fusarium fujikuroi showed a significantly higher degradation rate of 37.64% after 30 days of fermentation compared to the other single strains. The most cellulose-degrading five strain combinations were (1) Neurospora intermedia and Lysinibacillus macrolides (40.05%), (2) Streptomyces sp. and Bacillus subtilis (40.33%), (3) Gibberella moniliformis and L. macrolides (39.85%), (4) G. moniliformis and B. subtilis (38.78%) and (5) Fusarium fujikuroi and B. subtilis (37.10%). Gupta et al. (2012) demonstrated the capacity of eight cellulose-degrading bacteria isolated from the guts of a termite, snail, caterpillar and bookworm to degrade filter paper (55–65.7%) in 3 days by a gravimetric method [21]. The microbial consortium isolated from the hindgut of Holotrichia parallela larvae degraded about 83.1% of rice straw within three days [22]. Our results showed that reculture 4 of the aerobic consortium, which was isolated from a working methanogenic bioreactor and cultivated at 50 °C, degraded filter paper by 46.05% for 14 days, after which, at subculture 5, its activity stopped (Figure 1). It must be taken into account that maintaining such a high temperature requires additional energy, which is not economically beneficial. In comparison, anaerobes (reculture 2) that were grown at 37 °C degraded cellulose 17.44% for 14 days and 24.4% for 28 days. After enrichment by subculturing, the cellulose degradation reached 37.94% for 21 days (Figure 2, see the visualization of the results in the Supplementary Materials).

4.2. Long-Term Storage

An important issue that should be taken into account is the duration of time for which single bacterial species or bacterial consortia, retain their cellulolytic activity. In our case, it is important to note that anaerobes degraded cellulose substrate up to the 10th recultivation during approximately one year period. On the other hand, aerobes degraded the cellulose relatively weakly (8.35% for 28 days, Figure 1).

4.3. Antimicrobial Resistance and Genes for Antibiotic Resistance

Non-plant pathogenic endophytic bacteria can enhance nitrogen nutrition, stimulate plant growth and occasionally pose a threat to human and animal health [70]. When searching for cellulose-degrading consortia or single colonies for real-world applications, their antimicrobial resistance must also be assessed. Therefore, we determined the antibiotic susceptibility analysis of the aerobic and anaerobic communities cultured at 37 °C (Table 2). The anaerobic population was more resistant (41.5%) to clinically applied antibiotics, compared to aerobes (29.3%). Aerobic and anaerobic consortia were resistant to penicillins (oxacillin), cephalosporins, carbepenemes (doripenem), monobactames, fluoroquinolones, aminoglycosides (streptomycin) and other agents such as bacitracin, colistin (methanesulfonate) and lincomycin. Aerobes also exhibited resistance to ceftazidime-avibactam, whereas the anaerobic population exhibited resistance to pefloxacin, levofloxacin, kanamycin, rifampin, novobiocin and trime-thoprim/sulfamethoxazole. Interestingly, the two tested consortia showed resistance to oxacillin and were sensitive to all other antibiotics in the penicillin group. The resistance to oxacillin is common, especially among enteric Gram-negative bacilli [71]. For example, Enterobacterales such as Citrobacter freundii [72,73], Yersinia enterocolitica [74,75], Morganella morganii [76], Proteus vulgaris [77,78], etc. and non-fermenters, such as Pseudomonas aeruginosa [79], Acinetobacter spp. [80], etc., which can enter a biogas digester, are intrinsically resistant to a large spectrum of antibiotics, including oxacillin [81]. The same applies to pathogens such as Neisseria spp. [82], Campylobacter spp. [83] and Helicobacter pylori [84]. Bacillus subtilis can also be resistant to oxacillin but the mechanism has not yet been elucidated [85], compared with the another Gram-positive bacteria, which encode altered penicillin-binding protein 2a (Staphylococcus aureus [86], Enterococcus faecalis [87], etc.). Widespread bacterial β-lactamases, such as the TEM and SHV enzymes, encoded by the blaTEM and blaSHV genes, according to literature, have a weak ability to degrade oxacillin but the drug is not their typical substrate [88]. The β-lactamases that degrade oxacillin are the class D β-lactamases, or oxacillinases, for example, the OXA and PSE enzymes. The OXA enzymes are most commonly found in P. aeruginosa, A. baumannii and Klebsiella pneumoniae. Most of these OXA enzymes are not termed extended-spectrum β-lactamases (ESBLs) because they lack hydrolyzing capabilities. Group 4 β-lactamases are incompletely characterized enzymes. They have been found to hydrolyze cloxacillin, which shares its core structure with oxacillin. They have been found in Clostridium butyricum (with weak cloxacillin-hydrolyzing activity) and Pseudomonas spp., Escherichia coli and other bacterial species [89,90,91,92]. Interestingly, from all tested genes for antibiotic resistance we found blaTEM in the anaerobic population (Figure 3B). Some authors report that they found oxacillin-resistant S. aureus and are mecA or mecC free. Their β-lactamase enzyme, BlaZ, was found to hydrolyze oxacillin significantly more than BlaZ from methicillin-sensitive S. aureus, thus acting as an ESBL [93,94]. Clostridium spp. are not extensively studied for oxacillin resistance or when studied, they are sensitive [95,96].

4.4. Genes for Cellulolytic Activity and Stress Proteins

Bacteria are constantly exposed to stressful conditions—exposure to antibiotics, nutrient depletion and oxidative stress. In order to adapt to these conditions, the organism must be able to quickly change its gene expression program in order to combat the stress. RNA-binding proteins are essential for controlling gene expression during adaptive responses because they mediate co- and post-transcriptional regulation [97]. In the anaerobic consortium, we found two genes for RNA-specific binding protein (Figure 3A)—ssrA (for Clostridium sp.) and ssrA BS (for Bacillus subtilis), and no gene for cellulolytic activity (cbpA, exgS, engH, engE, engM and xynA). The ssrA gene encodes a transfer-messenger RNA (tmRNA) that functions both as a tRNA and mRNA to rescue ribosomes, and is found in all sequenced prokaryotic genomes, indicating its biological importance in the trans-translation system [98]. SsrA is essential for the growth of B. subtilis at 52 °C or under cadmium or ethanol stress conditions [49]. The presence of this gene in our sample can be explained by nutrient depletion, since the sample was taken on the 14th day of the new culture after lyophilization, when we observe an increase in the rate of cellulose degradation or due to the lyophilization process itself.

4.5. Cellulose-Degrading Bacterial Species

The aerobic consortium cultured at 50 °C was characterized by the highest percentage of cellulose degradation (47.3%, Figure 1), followed by the anaerobes (39.94%, Figure 2), which degraded up to the 10th reculture inclusive. In the aerobes, representatives of the genera Defluvitalea (14.26% cDNA) and Anaerobacillus (18.68% cDNA) dominated (Figure 4). The Bacillota (synonym of Firmicutes) include strict or facultative anaerobic bacteria of the genera Clostridium and Defluvitalea, as well as Ruminiclostridium, whose members degrade complex carbohydrates such as cellulose, xylan and cellobiose [99]. The presence of Defluvitalea spp. in our probe is not unusual. They have been reported to be involved in the fermentation of saccharides under thermophilic conditions in the biogas production bioreactor, with no occurrence above 55 °C [100]. Defluviitalea spp. were found to be up to 34% present in cellulose-enriched cultures or to be equivalent to 90% of the relative abundance in cellulose-mixed isolates derived from thermophilic laboratory biogas fermenters [101]. The genus Anaerobacillus contains anaerobic or aerotolerant Gram-positive rods that grow through fermentative or anaerobic respiration in obligate or moderately alkaliphilic and halophilic environments [102]. A product of alkaline hydrolysis of cellulose found in pulp wastewater streams is isosaccharinate [103], which is characterized by being degraded by Anaerobacillus spp. [102]. There are a lot of data in the literature on the ability of Acetivibrio to degrade cellulose. Acetivibrio cellulolyticus and Clostridium saccharolyticum were isolated before from the methanogenic cellulose-enriched culture, with the two representatives competing with each other. A. cellulolyticus provided assimilable sugars (including glucose) which C. saccharolyticum converted to acetic acid and H2, known substrates for methanogens, and ethanol and lactic acid, known substrates for sulfate-reducing bacteria [104]. The presence of Lysinibacillus spp. in both aerobic populations, with the number of cDNAs being higher at 37 °C (24.19% cDNA) compared to 50 °C (2.57% cDNA), is striking (Figure 4). This genus degraded xylan [105]. Lysinobacillus macrolides, L. sphaericus, Bacillus subtilis and Paenibacillus lautus participate in corn straw composting by a microbial consortium [20]. A microbial consortium composed of Parabacteroides, Alcaligenes, Lysinibacillus, Sphingobacterium and Clostridium showed efficient degradation of rice straw, in which cellulose, hemicelluloses and lignin lost 71.7%, 65.6% and 12.5%, respectively, of their weight, after cultivation for 20 days at 15 °C. By proteomics, the lignocellulose-degrading enzyme system was analyzed in Clostridium spp. (β-glucosidase-related glycosidases, α-L-arabinofuranosidase, xylanase and type IIS restriction enzyme protein) and in Lysinibacillus saudimassiliensis (endoglucanase precursor and catalase) [106]. The genus Romboutsia was represented by almost equal numbers of cDNAs in the anaerobic (10.11%) and aerobic (10.20%) consortia cultured at 37 °C, suggesting them as facultative anaerobic bacteria (Figure 4). A recent study shows that this genus participates in the lignocellulosic anaerobic co-digestion process and demonstrates its ability to degrade carbohydrates [107], including cellulose, and ferment them into volatile fatty acids, H2 and CO2 [108]. According to Lu et al. (2025) [109], the cellulolytic bacterial composition changed during the progress of the degradation process. At the beginning of the process, Paraclostridium spp. are predominant and possibly initiate the lignocellulose degradation, after which Clostridium spp. and Terrisporobacter spp. are involved after growing rapidly. Lysinibacillus spp. grow after the third day from the start of the process. Fang et al. (2021) reported that Paraclostridium spp., which are found in our aerobic and anaerobic consortia cultured at 37 °C (Figure 4), showed a suppressive ability to fluoroquinolone antibiotic [110], which explains the resistance shown in our studies (Table 2) and to some extent why we have not been able to prove an antibiotic resistance gene to this group of antibiotics (Figure 3B). Lentimicrobium spp., which participated twice as much in the aerobic population (8.58% cDNA) as in the anaerobic one (4.91%) (Figure 4), were previously isolated from methanogenic granular sludge. The authors mentioned that L. saccharophilum can ferment glucose to acetate, malate, propionate, formate and H2 [111].

5. Conclusions

In summary, our study represents a comparative analysis of the ability of three microbial populations isolated from a working methanogenic bioreactor to maintain their cellulose-degrading capacity through cultivation and adaptation to different environmental conditions—aerobic at 37 °C and 50 °C and anaerobic at 37 °C. High biodegradation of cellulose was achieved in 21 days under aerobic conditions at 50 °C (46.5%) and anaerobic conditions at 37 °C (37.9%). The latter degraded filter paper into pieces as a cellulose source up to 10 subcultures. The antimicrobial resistance to 42 clinically applied antibiotics was determined. The anaerobic population was found to be more resistant (41.5%), compared to aerobes (29.3%) cultured at 37 °C, which degraded cellulose to a weaker degree, 8.35% in 28 days. We proved the presence in the anaerobic population of ssrA and ssrA BS genes that are transfer-messenger RNA genes and play a key role in environmental stress factors, as well as blaTEM, a gene for β-lactamase, encoded on the plasmid. By metagenomics analysis, we investigated the representative genus in the three tested consortia. In the anaerobic population, the dominant species are from the genera Roumboutsia, Clostridium, Terrisporobacter, Lentimicrobium and Paraclostridium; in the aerobic consortium cultured at 37 °C, they are Lysinibacillus, Roumboutsia, Lentimicrobium, Hydrogenophaga, Alkalitalea, Clostridium, Paraclostridium and Terrisporobacter; and in the same conditions, but at 50 °C, they are Anaerobacillus, Defluvitalea, Acetivibrio, Haloplasma, Paenibacillus, Alkalitalea, Lysinibacillus and Clostridium. The reported cellulolytic activity and the long period of its preservation are important points from a technological point of view. We believe that our research will contribute to environmental protection and cost-effective management of lignocellulose waste.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes16050551/s1.

Author Contributions

Conceptualization, V.K. and H.N.; methodology, L.D., V.K., V.H. and H.N.; formal analysis, L.D., Y.I. and D.G.; investigation, L.D., Y.I., D.G., V.K., V.H., Y.G., T.B., M.K. and M.M.Z.; writing—original draft preparation, L.D.; writing—review and editing, L.D. and H.N.; supervision, H.N.; funding acquisition, H.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Fund for Scientific Research, Republic of Bulgaria, grant number KP-06-N71/8 from 8 December 2023.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Liu, C.; Zhang, A.; Li, W.; Sun, R. Dissolution of cellulose in novel green solvent ionic liquids and its application. Prog. Chem. 2009, 21, 1800–1806. [Google Scholar]
  2. Gil, A. Current insights into lignocellulose related waste valorization. Chem. Eng. J. Adv. 2021, 8, 100186. [Google Scholar] [CrossRef]
  3. Das, S.; Rudra, S.; Khatun, I.; Sinha, N.; Sen, M.; Ghosh, D. Concise review on lignocellulolytic microbial consortia for lignocellulosic waste biomass utilization: A way forward? Microbiology 2023, 92, 301–317. [Google Scholar] [CrossRef]
  4. Bhatia, D.; Sharma, N.R.; Singh, J.; Kanwar, R.S. Biological methods for textile dye removal from wastewater: A review. Crit. Rev. Environ. Sci. Technol. 2017, 47, 1836–1876. [Google Scholar] [CrossRef]
  5. European Union. Directive 2008/98/EC of the European Parliament and of the Council of 19 November 2008 on Waste and Repealing Certain Directives; European Union: Brussels, Belgium, 2008. [Google Scholar]
  6. Directorate-General for Environment. Proposal for a Targeted Revision of the Waste Framework Directive; European Commision: Brussels, Belgium, 2023. [Google Scholar]
  7. King, M.W.; Gupta, B.S.; Guidoin, R. Biotextiles as Medical Implants; Elsevier: Amsterdam, The Netherlands, 2013. [Google Scholar]
  8. Brodin, M.; Vallejos, M.; Opedal, M.T.; Area, M.C.; Chinga-Carrasco, G. Lignocellulosics as sustainable resources for production of bioplastics—A review. J. Clean. Prod. 2017, 162, 646–664. [Google Scholar] [CrossRef]
  9. Weiland, P. Biogas production: Current state and perspectives. Appl. Microbiol. Biotechnol. 2010, 85, 849–860. [Google Scholar] [CrossRef] [PubMed]
  10. Holm-Nielsen, J.B.; Al Seadi, T.; Oleskowicz-Popiel, P. The future of anaerobic digestion and biogas utilization. Bioresour. Technol. 2009, 100, 5478–5484. [Google Scholar] [CrossRef]
  11. Jeihanipour, A. Waste Textiles Bioprocessing to Ethanol and Biogas. Ph.D. Thesis, Chalmers University of Technology, Gothenburg, Sweden, 2011. [Google Scholar]
  12. Jarvis, M.C. Structure of native cellulose microfibrils, the starting point for nanocellulose manufacture. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2018, 376, 20170045. [Google Scholar] [CrossRef]
  13. Šuchová, K.; Fehér, C.; Ravn, J.L.; Bedő, S.; Biely, P.; Geijer, C. Cellulose-and xylan-degrading yeasts: Enzymes, applications and biotechnological potential. Biotechnol. Adv. 2022, 59, 107981. [Google Scholar] [CrossRef]
  14. Fu, Z.-H.; Liu, J.; Zhong, L.-B.; Huang, H.; Zhu, P.; Wang, C.-X.; Bai, X.-P. Screening of cellulose-degrading yeast and evaluation of its potential for degradation of coconut oil cake. Front. Microbiol. 2022, 13, 996930. [Google Scholar] [CrossRef]
  15. Pérez, J.; Muñoz-Dorado, J.; De la Rubia, T.; Martinez, J. Biodegradation and biological treatments of cellulose, hemicellulose and lignin: An overview. Int. Microbiol. 2002, 5, 53–63. [Google Scholar] [CrossRef] [PubMed]
  16. Leschine, S.B. Cellulose degradation in anaerobic environments. Annu. Rev. Microbiol. 1995, 49, 399–426. [Google Scholar] [CrossRef]
  17. Singh, S.; Jaiswal, D.K.; Sivakumar, N.; Verma, J.P. Developing efficient thermophilic cellulose degrading consortium for glucose production from different agro-residues. Front. Energy Res. 2019, 7, 61. [Google Scholar] [CrossRef]
  18. Ji, J.; Escobar, M.; Cui, S.; Zhang, W.; Bao, C.; Su, X.; Wang, G.; Zhang, S.; Chen, H.; Chen, G. Isolation and Characterization of a Low-Temperature, Cellulose-Degrading Microbial Consortium from Northeastern China. Microorganisms 2024, 12, 1059. [Google Scholar] [CrossRef] [PubMed]
  19. Gad, S.; Ayakar, S.; Adivarekar, R. Formulation and characterization of bacterial consortium for efficient lignocellulosic waste degradation. J. Environ. Chem. Eng. 2024, 12, 112619. [Google Scholar] [CrossRef]
  20. Li, J.; Li, J.; Yang, R.; Yang, P.; Fu, H.; Yang, Y.; Liu, C. Construction of Microbial Consortium to Enhance Cellulose Degradation in Corn Straw during Composting. Agronomy 2024, 14, 2107. [Google Scholar] [CrossRef]
  21. Gupta, P.; Samant, K.; Sahu, A. Isolation of cellulose-degrading bacteria and determination of their cellulolytic potential. Int. J. Microbiol. 2012, 2012, 578925. [Google Scholar] [CrossRef]
  22. Sheng, P.; Huang, J.; Zhang, Z.; Wang, D.; Tian, X.; Ding, J. Construction and characterization of a cellulolytic consortium enriched from the hindgut of Holotrichia parallela larvae. Int. J. Mol. Sci. 2016, 17, 1646. [Google Scholar] [CrossRef]
  23. Roy, D.; Gunri, S.K.; Pal, K.K. Isolation, screening and characterization of efficient cellulose-degrading fungal and bacterial strains and preparation of their consortium under in vitro studies. 3 Biotech 2024, 14, 131. [Google Scholar] [CrossRef]
  24. Doolotkeldieva, T.; Bobusheva, S. Screening of wild-type fungal isolates for cellulolytic activity. Microbiol. Insights 2011, 4, MBI-S6418. [Google Scholar] [CrossRef]
  25. Lynd, L.R.; Weimer, P.J.; Van Zyl, W.H.; Pretorius, I.S. Microbial cellulose utilization: Fundamentals and biotechnology. Microbiol. Mol. Biol. Rev. 2002, 66, 506–577. [Google Scholar] [CrossRef] [PubMed]
  26. Bhat, M.; Bhat, S. Cellulose degrading enzymes and their potential industrial applications. Biotechnol. Adv. 1997, 15, 583–620. [Google Scholar] [CrossRef] [PubMed]
  27. Henrissat, B.; Driguez, H.; Viet, C.; Schülein, M. Synergism of cellulases from Trichoderma reesei in the degradation of cellulose. Bio/Technol. 1985, 3, 722–726. [Google Scholar] [CrossRef]
  28. Wood, T.M.; McCrae, S.I. The cellulase of Trichoderma koningii. Purification and properties of some endoglucanase components with special reference to their action on cellulose when acting alone and in synergism with the cellobiohydrolase. Biochem. J. 1978, 171, 61–72. [Google Scholar] [CrossRef]
  29. Konan, D.; Ndao, A.; Koffi, E.; Elkoun, S.; Robert, M.; Rodrigue, D.; Adjallé, K. Biodecomposition with Phanerochaete chrysosporium: A review. AIMS Microbiol. 2024, 10, 1068. [Google Scholar] [CrossRef]
  30. Gupta, M.N.; Bisaria, V.S. Stable cellulolytic enzymes and their application in hydrolysis of lignocellulosic biomass. Biotechnol. J. 2018, 13, 1700633. [Google Scholar]
  31. Wojtczak, G.; Breuil, C.; Yamada, J.; Saddler, J. A comparison of the thermostability of cellulases from various thermophilic fungi. Appl. Microbiol. Biotechnol. 1987, 27, 82–87. [Google Scholar] [CrossRef]
  32. Ejaz, U.; Sohail, M.; Ghanemi, A. Cellulases: From bioactivity to a variety of industrial applications. Biomimetics 2021, 6, 44. [Google Scholar] [CrossRef] [PubMed]
  33. Cipolatti, E.P.; Pinto, M.C.C.; Henriques, R.O.; da Silva Pinto, J.C.C.; de Castro, A.M.; Freire, D.M.G.; Manoel, E.A. Enzymes in green chemistry: The state of the art in chemical transformations. In Biomass, Biofuels, Biochemicals: Advances in Enzyme Technology; Elsevier: Amsterdam, The Netherlands, 2019; pp. 137–151. [Google Scholar]
  34. de Souza, T.S.; Kawaguti, H.Y. Cellulases, hemicellulases, and pectinases: Applications in the food and beverage industry. Food Bioprocess Technol. 2021, 14, 1446–1477. [Google Scholar] [CrossRef]
  35. Mokale Kognou, A.L.; Chio, C.; Khatiwada, J.R.; Shrestha, S.; Chen, X.; Han, S.; Li, H.; Jiang, Z.-H.; Xu, C.C.; Qin, W. Characterization of cellulose-degrading bacteria isolated from soil and the optimization of their culture conditions for cellulase production. Appl. Biochem. Biotechnol. 2022, 194, 5060–5082. [Google Scholar] [CrossRef]
  36. Nunes, P.S.; Lacerda-Junior, G.V.; Mascarin, G.M.; Guimarães, R.A.; Medeiros, F.H.; Arthurs, S.; Bettiol, W. Microbial consortia of biological products: Do they have a future? Biol. Control 2024, 188, 105439. [Google Scholar] [CrossRef]
  37. Dimitrova, L.; Kussovski, V.; Hubenov, V.; Kabaivanova, L.; Angelov, P.; Najdenski, H. Microbial degradation of cellulose containing waste in Earth’s conditions and in a life support system for manned spaceflights. Part I: Types of cellulose containing substrates and approaches for their biodegradation in Earth’s conditions and long-term manned spaceflights. Ecol. Eng. Environ. Prot. 2020, 4, 5–13. [Google Scholar]
  38. Updegraff, D.M. Semimicro determination of cellulose inbiological materials. Anal. Biochem. 1969, 32, 420–424. [Google Scholar] [CrossRef]
  39. Watts, J.L.; CLSI. Performance Standards for Antimicrobial Disk and Dilution Susceptibilty Tests for Bacteria Isolated from Animals: Approved Standard; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 1999. [Google Scholar]
  40. European Committee on Antimicrobial Susceptibility Testing. Breakpoint Tables for Interpretation of MICs and Zone Diameters, Version 15.0; European Committee on Antimicrobial Susceptibility Testing: Basel, Switzerland, 2025. [Google Scholar]
  41. Power, D.; McCuen, P. Manual of BBL Products and Laboratory Procedures, 6th ed.; BBL Publishing: Chicago, IL, USA, 1998. [Google Scholar]
  42. Han, S.O.; Yukawa, H.; Inui, M.; Doi, R.H. Transcription of Clostridium cellulovorans cellulosomal cellulase and hemicellulase genes. J. Bacteriol. 2003, 185, 2520–2527. [Google Scholar] [CrossRef]
  43. Han, S.O.; Yukawa, H.; Inui, M.; Doi, R.H. Regulation of expression of cellulosomal cellulase and hemicellulase genes in Clostridium cellulovorans. J. Bacteriol. 2003, 185, 6067–6075. [Google Scholar] [CrossRef]
  44. Shoseyov, O.; Goldstein, M.; Foong, F.; Hamamoto, T.; Doi, R.H. GenBank: M73817.1. Clostridium cellulovorans Cellulose Binding Protein Gene (cbp A), Complete cds. 1992. Available online: https://www.ncbi.nlm.nih.gov/nuccore/144748 (accessed on 10 April 2025).
  45. Liu, C.C.; Doi, R.H. GenBank: U34793.3. Clostridium cellulovorans Exoglucanase S (exgS) and Endoglucanase H (engH) Genes, Complete cds. 1998. Available online: https://www.ncbi.nlm.nih.gov/nuccore/5705873 (accessed on 10 April 2025).
  46. Tamaru, Y.; Doi, R.H. GenBank: AF132735.2. Clostridium cellulovorans endoglucanase K (engK), Hydrophobic Protein A (hbpA), Endoglucanase L (engL), Mannanase A (manA), Endoglucanase M (engM), Endoglucanase N (engN), and Transposase (trp) Genes, Complete cds; and Malate Permease (mln) Gene, Partial cds. 2000. Available online: https://www.ncbi.nlm.nih.gov/nuccore/7363462 (accessed on 10 April 2025).
  47. Tamaru, Y.; Doi, R.H. GenBank: AF105331.1. Clostridium cellulovorans Phosphomethylpyrimidine Kinase (pmk) Gene, Partial cds; and Endoglucanase EngE Gene, Complete cds. 1999. Available online: https://www.ncbi.nlm.nih.gov/nuccore/5106517 (accessed on 10 April 2025).
  48. Nye, T.; Schroeder, J.; Kearns, D.; Simmons, L. GenBank: CP020102.1. Bacillus subtilis Strain NCIB 3610 Chromosome, Complete Genome. 2017. Available online: https://www.ncbi.nlm.nih.gov/nuccore/CP020102.1 (accessed on 10 April 2025).
  49. Muto, A.; Fujihara, A.; Ito, K.i.; Matsuno, J.; Ushida, C.; Himeno, H. Requirement of transfer-messenger RNA for the growth of Bacillus subtilis under stresses. Genes Cells 2000, 5, 627–635. [Google Scholar] [CrossRef]
  50. Lucas, S.; Copeland, A.; Lapidus, A.; Cheng, J.-F.; Bruce, D.; Goodwin, L.; Pitluck, S.; Chertkov, O.; Detter, J.C.; Han, C.; et al. NCBI Reference Sequence: NC_014393.1. Clostridium cellulovorans 743B, Complete Sequence. 2010. Available online: https://www.ncbi.nlm.nih.gov/nuccore/302872922 (accessed on 10 April 2025).
  51. Kosugi, A.; Murashima, K.; Doi, R.H. GenBank: AF435978.1. Clostridium cellulovorans Hypothetical Protein Gene, Complete cds; dxylA Pseudogene, Complete Sequence; and Xylanase (xynA) Gene, Complete cds. 2002. Available online: https://www.ncbi.nlm.nih.gov/nuccore/23451701 (accessed on 10 April 2025).
  52. Si, H.; Hu, J.; Liu, Z.; Zeng, Z.-L. Antibacterial effect of oregano essential oil alone and in combination with antibiotics against extended-spectrum β-lactamase-producing Escherichia coli. FEMS Immunol. Med. Microbiol. 2008, 53, 190–194. [Google Scholar] [CrossRef] [PubMed]
  53. Annisha, O.D.R.; Li, Z.; Zhou, X.; Stenay Junior, N.M.D.; Donde, O.O. Efficacy of integrated ultraviolet ultrasonic technologies in the removal of erythromycin-and quinolone-resistant Escherichia coli from domestic wastewater through a laboratory-based experiment. J. Water Sanit. Hyg. Dev. 2019, 9, 571–580. [Google Scholar] [CrossRef]
  54. Pourhossein, Z.; Asadpour, L.; Habibollahi, H.; Shafighi, S.T. Antimicrobial resistance in fecal Escherichia coli isolated from poultry chicks in northern Iran. Gene Rep. 2020, 21, 100926. [Google Scholar] [CrossRef]
  55. Saga, T.; Sabtcheva, S.; Mitsutake, K.; Ishii, Y.; Tateda, K.; Yamaguchi, K.; Kaku, M. Characterization of qnrB-like Genes in Citrobacter Species of the American Type Culture Collection. NCBI Reference Sequence: NG_050524.1.Citrobacter freundii ATCC 6879 qnrB Gene for Quinolone Resistance Pentapeptide Repeat Protein QnrB60, Complete CDS. 2013. Available online: https://www.ncbi.nlm.nih.gov/nuccore/1035504588 (accessed on 10 April 2025).
  56. Ranjbar, R.; Safarpoor Dehkordi, F.; Sakhaei Shahreza, M.H.; Rahimi, E. Prevalence, identification of virulence factors, O-serogroups and antibiotic resistance properties of Shiga-toxin producing Escherichia coli strains isolated from raw milk and traditional dairy products. Antimicrob. Resist. Infect. Control 2018, 7, 1–11. [Google Scholar] [CrossRef]
  57. Jafari, E.; Mostaan, S.; Bouzari, S. Characterization of antimicrobial susceptibility, extended-spectrum β-lactamase genes and phylogenetic groups of enteropathogenic Escherichia coli isolated from patients with diarrhea. Osong Public Health Res. Perspect. 2020, 11, 327. [Google Scholar] [CrossRef] [PubMed]
  58. Huang, Y.-H.; Kuan, N.-L.; Yeh, K.-S. Characteristics of extended-spectrum β-lactamase–producing Escherichia coli from dogs and cats admitted to a veterinary teaching hospital in Taipei, Taiwan from 2014 to 2017. Front. Vet. Sci. 2020, 7, 395. [Google Scholar] [CrossRef] [PubMed]
  59. Mandakini, R.; Roychoudhury, P.; Subudhi, P.; Kylla, H.; Samanta, I.; Bandyopadhayay, S.; Dutta, T. Higher prevalence of multidrug-resistant extended-spectrum β-lactamases producing Escherichia coli in unorganized pig farms compared to organized pig farms in Mizoram, India. Vet. World 2020, 13, 2752. [Google Scholar] [CrossRef] [PubMed]
  60. Khoirani, K.; Indrawati, A.; Setiyaningsih, S. Detection of ampicillin resistance encoding gene of Escherichia coli from chickens in Bandung and Purwakarta. J. Ris. Vet. Indones. (J. Indones. Vet. Res.) 2019, 3, 42–46. [Google Scholar] [CrossRef]
  61. Böckelmann, U.; Dörries, H.-H.; Ayuso-Gabella, M.N.; Salgot de Marçay, M.; Tandoi, V.; Levantesi, C.; Masciopinto, C.; Van Houtte, E.; Szewzyk, U.; Wintgens, T. Quantitative PCR monitoring of antibiotic resistance genes and bacterial pathogens in three European artificial groundwater recharge systems. Appl. Environ. Microbiol. 2009, 75, 154–163. [Google Scholar] [CrossRef]
  62. Nguyen, M.C.P.; Woerther, P.-L.; Bouvet, M.; Andremont, A.; Leclercq, R.; Canu, A. Escherichia coli as reservoir for macrolide resistance genes. Emerg. Infect. Dis. 2009, 15, 1648. [Google Scholar] [CrossRef]
  63. Klindworth, A.; Pruesse, E.; Schweer, T.; Peplies, J.; Quast, C.; Horn, M.; Glöckner, F.O. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 2013, 41, e1. [Google Scholar] [CrossRef]
  64. Yurkov, A.P.; Kryukov, A.A.; Gorbunova, A.O.; Kudriashova, T.R.; Kovalchuk, A.I.; Gorenkova, A.I.; Bogdanova, E.M.; Laktionov, Y.V.; Zhurbenko, P.M.; Mikhaylova, Y.V. Diversity of arbuscular mycorrhizal fungi in distinct ecosystems of the North Caucasus, a temperate biodiversity hotspot. J. Fungi 2023, 10, 11. [Google Scholar] [CrossRef]
  65. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 2011, 17, 10–12. [Google Scholar] [CrossRef]
  66. Callahan, B.; McMurdie, P.; Rosen, M.; Han, A.; Johnson, A.; Dada, S.H. High-resolution sample inference from Illumina amplicon data. Nat. Methods 2016, 13, 581–583. [Google Scholar] [CrossRef]
  67. Caporaso, J.G.; Kuczynski, J.; Stombaugh, J.; Bittinger, K.; Bushman, F.D.; Costello, E.K.; Fierer, N.; Peña, A.G.; Goodrich, J.K.; Gordon, J.I. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 2010, 7, 335–336. [Google Scholar] [CrossRef] [PubMed]
  68. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T.L. BLAST+: Architecture and applications. BMC Bioinform. 2009, 10, 1–9. [Google Scholar] [CrossRef] [PubMed]
  69. Feng, Y.; Yu, Y.; Wang, X.; Qu, Y.; Li, D.; He, W.; Kim, B.H. Degradation of raw corn stover powder (RCSP) by an enriched microbial consortium and its community structure. Bioresour. Technol. 2011, 102, 742–747. [Google Scholar] [CrossRef] [PubMed]
  70. Tyler, H.L.; Triplett, E.W. Plants as a habitat for beneficial and/or human pathogenic bacteria. Annu. Rev. Phytopathol. 2008, 46, 53–73. [Google Scholar] [CrossRef]
  71. Papich, M.G. Saunders handbook of veterinary drugs. North Carol. 2016, 12, 162–171. [Google Scholar]
  72. Cycoń, M.; Orlewska, K.; Markowicz, A.; Żmijowska, A.; Smoleń-Dzirba, J.; Bratosiewicz-Wąsik, J.; Wąsik, T.J.; Piotrowska-Seget, Z. Vancomycin and/or multidrug-resistant Citrobacter freundii altered the metabolic pattern of soil microbial community. Front. Microbiol. 2018, 9, 1047. [Google Scholar] [CrossRef]
  73. Hidayatullah, A.R.; Effendi, M.H.; Plumeriastuti, H.; Wibisono, F.M.; Hartadi, E.B.; Sofiana, E.D. A Review of the opportunistic pathogen Citrobacter freundii in piglets post weaning: Public Health Importance. Syst. Rev. Pharm. 2020, 11, 763–773. [Google Scholar]
  74. Farzan, A.; Friendship, R.; Cook, A.; Pollari, F. Occurrence of Salmonella, Campylobacter, Yersinia enterocolitica, Escherichia coli O157 and Listeria monocytogenes in swine. Zoonoses Public Health 2010, 57, 388–396. [Google Scholar] [CrossRef]
  75. Bari, M.L.; Hossain, M.A.; Isshiki, K.; Ukuku, D. Behavior of Yersinia enterocolitica in Foods. J. Pathog. 2011, 2011, 420732. [Google Scholar] [CrossRef]
  76. Britova, S. Survival of Morganella morganii on various types of object. 1985. [Google Scholar]
  77. Prado, J. Virulence and Resistance Factors Associated with the Specie of Proteus vulgaris. Int. J. Pathog. Res. 2023, 13, 32–36. [Google Scholar] [CrossRef]
  78. Stańczyk-Mazanek, E.; Kępa, U.; Stępniak, L. Drug-resistant bacteria in soils fertilized with sewage sludge. Rocz. Ochr. Sr. 2015, 17, 125–142. [Google Scholar]
  79. Youenou, B.; Brothier, E.; Nazaret, S. Diversity among strains of Pseudomonas aeruginosa from manure and soil, evaluated by multiple locus variable number tandem repeat analysis and antibiotic resistance profiles. Res. Microbiol. 2014, 165, 2–13. [Google Scholar] [CrossRef]
  80. Pulami, D.; Kämpfer, P.; Glaeser, S.P. High diversity of the emerging pathogen Acinetobacter baumannii and other Acinetobacter spp. in raw manure, biogas plants digestates, and rural and urban wastewater treatment plants with system specific antimicrobial resistance profiles. Sci. Total Environ. 2023, 859, 160182. [Google Scholar] [CrossRef]
  81. European Committee on Antimicrobial Susceptibility Testing. EUCAST Expert Rules: Intrinsic Resistance and Exceptional Phenotypes v3.1; European Committee on Antimicrobial Susceptibility Testing: Basel, Switzerland, 2016. [Google Scholar]
  82. Bagewadi, Z.K.; Garg, S.D.; Deshnur, P.B.; Shetti, N.S.; Banne, A.A. Production dynamics of extracellular alkaline protease from Neisseria sps isolated from soil. Biotechnol. Bioinf. Bioeng. 2011, 1, 483–493. [Google Scholar]
  83. Frey, S.K.; Topp, E.; Khan, I.U.; Ball, B.R.; Edwards, M.; Gottschall, N.; Sunohara, M.; Lapen, D.R. Quantitative Campylobacter spp., antibiotic resistance genes, and veterinary antibiotics in surface and ground water following manure application: Influence of tile drainage control. Sci. Total Environ. 2015, 532, 138–153. [Google Scholar] [CrossRef]
  84. Atapoor, S.; Dehkordi, F.S.; Rahimi, E. Detection of Helicobacter pylori in various types of vegetables and salads. Jundishapur J. Microbiol. 2014, 7, e10013. [Google Scholar] [CrossRef]
  85. Irkitova, A.; Grebenshchikova, A.; Dudnik, D. Antibiotic susceptibilty of bacteria from the Bacillus subtilis group. Ukr. J. Ecol. 2019, 9, 363–366. [Google Scholar] [CrossRef]
  86. Bressler, A.M.; Williams, T.; Culler, E.E.; Zhu, W.; Lonsway, D.; Patel, J.B.; Nolte, F.S. Correlation of penicillin binding protein 2a detection with oxacillin resistance in Staphylococcus aureus and discovery of a novel penicillin binding protein 2a mutation. J. Clin. Microbiol. 2005, 43, 4541–4544. [Google Scholar] [CrossRef]
  87. Arbeloa, A.; Segal, H.; Hugonnet, J.-E.; Josseaume, N.; Dubost, L.; Brouard, J.-P.; Gutmann, L.; Mengin-Lecreulx, D.; Arthur, M. Role of class A penicillin-binding proteins in PBP5-mediated β-lactam resistance in Enterococcus faecalis. J. Bacteriol. 2004, 186, 1221–1228. [Google Scholar] [CrossRef]
  88. Bush, K. Recent developments in β-lactamase research and their implications for the future. Clin. Infect. Dis. 1988, 10, 681–690. [Google Scholar] [CrossRef]
  89. Bush, K.; Jacoby, G.A. Updated functional classification of β-lactamases. Antimicrob. Agents Chemother. 2010, 54, 969–976. [Google Scholar] [CrossRef] [PubMed]
  90. Bush, K.; Jacoby, G.A.; Medeiros, A.A. A functional classification scheme for beta-lactamases and its correlation with molecular structure. Antimicrob. Agents Chemother. 1995, 39, 1211–1233. [Google Scholar] [CrossRef]
  91. Uğraklı, S.; Doğan, M. Overview of β-Lactamases and Current Techniques for Detecting Beta-Lactamase Mediated Resistance. Ann. Clin. Med. Microbiol. 2018, 3, 1016. [Google Scholar]
  92. Akpaka, P.E.; Vaillant, A.; Wilson, C.; Jayaratne, P. Extended Spectrum Beta-Lactamase (ESBL) Produced by Gram-Negative Bacteria in Trinidad and Tobago. Int. J. Microbiol. 2021, 2021, 5582755. [Google Scholar] [CrossRef]
  93. Hryniewicz, M.M.; Garbacz, K. Borderline oxacillin-resistant Staphylococcus aureus (BORSA)—A more common problem than expected? J. Med. Microbiol. 2017, 66, 1367–1373. [Google Scholar] [CrossRef] [PubMed]
  94. Nomura, R.; Nakaminami, H.; Takasao, K.; Muramatsu, S.; Kato, Y.; Wajima, T.; Noguchi, N. A class A β-lactamase produced by borderline oxacillin-resistant Staphylococcus aureus hydrolyses oxacillin. J. Glob. Antimicrob. Resist. 2020, 22, 244–247. [Google Scholar] [CrossRef]
  95. Gad, W.; Hauck, R.; Krüger, M.; Hafez, H. Determination of antibiotic sensitivities of Clostridium perfringens isolates from commercial turkeys in Germany in vitro. Arch. Für Geflügelkunde 2011, 75, 80–83. [Google Scholar] [CrossRef]
  96. Kumari, K.S.; Gaur, M.; Dixit, S.; Dash, P.; Subudh, E. Nutritional Types and Drug Resistance Profiling of Microbiota Harboring Dental Root Canal of Patients with Apical Periodontitis. J. Res. Dent. Maxillofac. Sci. 2024, 9, 287–296. [Google Scholar] [CrossRef]
  97. Christopoulou, N.; Granneman, S. The role of RNA-binding proteins in mediating adaptive responses in Gram-positive bacteria. FEBS J. 2022, 289, 1746–1764. [Google Scholar] [CrossRef]
  98. Shin, J.-H.; Price, C.W. The SsrA-SmpB ribosome rescue system is important for growth of Bacillus subtilis at low and high temperatures. J. Bacteriol. 2007, 189, 3729–3737. [Google Scholar] [CrossRef]
  99. Yutin, N.; Galperin, M.Y. A genomic update on clostridial phylogeny: G ram-negative spore formers and other misplaced clostridia. Environ. Microbiol. 2013, 15, 2631–2641. [Google Scholar] [CrossRef]
  100. FitzGerald, J.A. The Microbial Ecology of anaerobic Digestion: Characterising Novel Biogas Configurations Through Molecular and Statistical Methods. Ph.D. Thesis, University College Cork, Cork, Ireland, 2018. [Google Scholar]
  101. Rettenmaier, R.; Schneider, M.; Munk, B.; Lebuhn, M.; Jünemann, S.; Sczyrba, A.; Maus, I.; Zverlov, V.; Liebl, W. Importance of Defluviitalea raffinosedens for hydrolytic biomass degradation in co-culture with Hungateiclostridium thermocellum. Microorganisms 2020, 8, 915. [Google Scholar] [CrossRef]
  102. Bassil, N.M.; Lloyd, J.R. Anaerobacillus isosaccharinicus sp. nov., an alkaliphilic bacterium which degrades isosaccharinic acid. Int. J. Syst. Evol. Microbiol. 2019, 69, 3666–3671. [Google Scholar] [CrossRef] [PubMed]
  103. Sjostrom, E. Wood Chemistry: Fundamentals and Applications; Elsevier: Amsterdam, The Netherlands, 2013. [Google Scholar]
  104. Khan, A.; Murray, W. Influence of Clostridium saccharolyticum on cellulose degradation by Acetivibrio cellulolyticus. J. Appl. Bacteriol. 1982, 53, 379–383. [Google Scholar] [CrossRef]
  105. Lee, C.S.; Jung, Y.-T.; Park, S.; Oh, T.-K.; Yoon, J.-H. Lysinibacillus xylanilyticus sp. nov., a xylan-degrading bacterium isolated from forest humus. Int. J. Syst. Evol. Microbiol. 2010, 60, 281–286. [Google Scholar] [CrossRef] [PubMed]
  106. Zheng, G.; Yin, T.; Lu, Z.; Boboua, S.Y.B.; Li, J.; Zhou, W. Degradation of rice straw at low temperature using a novel microbial consortium LTF-27 with efficient ability. Bioresour. Technol. 2020, 304, 123064. [Google Scholar] [CrossRef]
  107. Tian, Y.; Li, Y.; Zhang, H.; Huang, T.; Tian, W.; Wang, Z.; Qian, J. Synergy between bacteria and fungi contributes to biodegradation and methane production of lignocellulosic anaerobic co-digestion exposing to surfactants. J. Environ. Manag. 2025, 373, 123579. [Google Scholar] [CrossRef]
  108. Varongchayakul, S.; Songkasiri, W.; Chaiprasert, P. High potential lignocellulose-degrading microbial seed exploration from various biogas plants for methane production. Renew. Energy 2024, 231, 120900. [Google Scholar] [CrossRef]
  109. Lu, Z.; Liu, J.; Nan, T.; Ge, Y.; Yang, G.; Li, Y.; Shen, Y.; Wang, Z.; Chen, M.; Huang, L. Indigenous lignocellulose-degrading consortium efficiently degrade Traditional Chinese medicine residues. Ind. Crops Prod. 2025, 226, 120641. [Google Scholar] [CrossRef]
  110. Fang, H.; Oberoi, A.S.; He, Z.; Khanal, S.K.; Lu, H. Ciprofloxacin-degrading Paraclostridium sp. isolated from sulfate-reducing bacteria-enriched sludge: Optimization and mechanism. Water Res. 2021, 191, 116808. [Google Scholar] [CrossRef]
  111. Sun, L.; Toyonaga, M.; Ohashi, A.; Tourlousse, D.M.; Matsuura, N.; Meng, X.-Y.; Tamaki, H.; Hanada, S.; Cruz, R.; Yamaguchi, T. Lentimicrobium saccharophilum gen. nov., sp. nov., a strictly anaerobic bacterium representing a new family in the phylum Bacteroidetes, and proposal of Lentimicrobiaceae fam. nov. Int. J. Syst. Evol. Microbiol. 2016, 66, 2635–2642. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Comparison of the ability of the three isolated and enriched consortia (aerobic at 37 °C (reculture 3) and 50 °C (reculture 4) and anaerobic at 37 °C (reculture 2) to degrade cellulose for 28 days.
Figure 1. Comparison of the ability of the three isolated and enriched consortia (aerobic at 37 °C (reculture 3) and 50 °C (reculture 4) and anaerobic at 37 °C (reculture 2) to degrade cellulose for 28 days.
Genes 16 00551 g001
Figure 2. Comparison of the ability of three anaerobic recultures to degrade cellulose for 21 days.
Figure 2. Comparison of the ability of three anaerobic recultures to degrade cellulose for 21 days.
Genes 16 00551 g002
Figure 3. Gel electrophoresis for genes for cellulolytic activity (A) and for antibiotic resistance (B). Black lines designate non-adjacent samples. Legend: M—marker; (+)—positive control; (−)—negative control.
Figure 3. Gel electrophoresis for genes for cellulolytic activity (A) and for antibiotic resistance (B). Black lines designate non-adjacent samples. Legend: M—marker; (+)—positive control; (−)—negative control.
Genes 16 00551 g003
Figure 4. Genus distribution of microorganisms in the three tested consortia. The percent domination for bacteria is presented as cDNA, and for fungi, as amplicon sequence variance (ASV).
Figure 4. Genus distribution of microorganisms in the three tested consortia. The percent domination for bacteria is presented as cDNA, and for fungi, as amplicon sequence variance (ASV).
Genes 16 00551 g004aGenes 16 00551 g004b
Table 1. List of the primers used in this study.
Table 1. List of the primers used in this study.
GeneEnzyme EncodedSequencesTmReference
CbpA FCellulose-binding proteinATGCAAAAAAAGAAATCGCTG62.9 °C[42,43,44]
CbpA RGGTTGATGTTGGGCTTGCTGTTTC52.3 °C
EngH FEndoglucanase HGTGTTT AACATATCTAAGAAAAAA53.1 °C[45]
EngH RCTACTGTGATAAAAGTAGTTTC49.3 °C
EngM FEndoglucanase MATGAATAGAAAAAAAATAACAGC55.1 °C[46]
EngM RTTATGCAAGCAGTTGTTTCTTTA60.4 °C
EngE FEndoglucanase EATGAAGAAGAGAAACAGAATA52.2 °C[47]
EngE RTTATATTGCTTTTTTTAAGAATGC57.4 °C
ExgS FExoglucanase SATGAGAAAAAGATTAAATAAG49.0 °C[45]
ExgS RTTAAGCAAGAAGTGCTTTCT56.1 °C
SsrA BS FTransfer-messenger RNA gene in B. subtilisGGGGACGTTACGGATTCGACA70.0 °C[48,49]
SsrA BS RGTATGGAGACGGTGGGAGTCGAA70.2 °C
SsrA FTransfer-messenger RNA gene in C. cellulovoransGGGGGTGTACTTGGTTTCGA65.9 °C[50]
SsrA RTGGTGGAGGTGAGGGGTG67.5 °C
XynA FXylanaseATGAAACAAAAAATGAGGATAGTT58.6 °C[51]
XynA RTTAGAATGCACCATTTAACAT56.2 °C
ESBLs-TEM FExtended-spectrum plasmid-mediated β-lactamasesGGGGATGAGTATTCAACATTTCC [52]
ESBLs-TEM RGGGCAGTTACCAATGCTTAATCA
QnrA FPlasmid-mediated quinolone resistance proteinGGGTATGGATATTATTGATAAAG55.0 °C[53]
QnrA RCTAATCCGGCAGCACTATTTA60.7 °C
QnrB FGATCGTGAAAGCCAGAAAGG63.6 °C[54]
QnrB RACGATGCCTGGTAGTTGTCC63.9 °C
QnrB60 FATGGCTCTGGCATTAATTGGCG62.1 °C[55]
QnrB60 RTTAGCCAATGACAGCGATGCC61.2 °C
Aac(3)-IV FPlasmid-encoded aminoglycoside acetyltransferaseCTTCAGGATGGCAAGTTGGT64.0 °C[56]
Aac(3)-IV RTCATCTCGTTCTCCGCTCAT64.9 °C
BlaSHV Fβ-lactamase encoded on the plasmidTCGCCTGTGTATTATCTCCC61.5 °C[57]
BlaSHV RCGCAGATAAATCACCACAATG62.9 °C
BlaTEM FTCGGGGAAATGTGCGCG71.9 °C[58]
BlaTEM RTGCTTAATCAGTGAGGCACC62.8 °C
BlaCMY Fclass C β-lactamase encoded on the plasmidTTTCTCCTGAACGTGGCTGGC70.1 °C[59]
BlaCMY RTGGCCAGAACTGACAGGCAAA70.7 °C
AmpC FCephalosporinases encoded on the chromosomesAATGGGTTTTCTACGGTCTG60.4 °C[60]
AmpC RGGGCAGCAAATGTGGAGCAA70.5 °C
AmpC FGTGACCAGATACTGGCCACA60.5 °C[61]
AmpC RTTACTGTAGCGCCTCGAGGA60.5 °C
ErmB FPlasmid-encoded erythromycin-resistant methylaseGAAAAAGTACTCAACCAAATA52.7 °C[62]
ErmB RAATTTAAGTACCGTTAC43.0 °C
ErmB FGCATTTAACGACGAAACTGGC60.1 °C[61]
ErmB RGACAATACTTGCTCATAAGTAATGGT61.7 °C
Table 2. Antimicrobial resistance of aerobic and anaerobic consortia, isolated from methanogenic bioreactor and cultured on two different media at 37 °C.
Table 2. Antimicrobial resistance of aerobic and anaerobic consortia, isolated from methanogenic bioreactor and cultured on two different media at 37 °C.
Drug ClassAntibioticAerobic
Consortium
Anaerobic Consortium
PCSBHAPCSBHA
PenicillinsAmoxicillinSSSS
Amoxicillin/-clavulanic acidSSSS
AmpicillinSSSS
CarbenicillinSSSS
OxacillinRRRR
Penicillin GSSSS
PiperacillinSSSS
Piperacillin/-tazobactamSSSS
TicarcillinSSSS
Ticarcillin/clavulanic acidSSSS
TetracyclinesDoxycyclineSSSS
Doxycycline HClSSSS
TetracyclineSISS
Cephalosporins CefamandoleSSSS
CeftazidimeSRRS
Ceftazidime-avibactamRRSS
Ceftolozane/tazobactamSRRR
CefepimeRRIR
CarbapenemsDoripenemRRRR
ImipenemSSSS
MeropenemSSSS
MonobactamsAztreonamSRRR
FluoroquinolonesCiprofloxacinSSIS
PefloxacinSSRR
LevofloxacinSSRR
Nalidixic acidRRRS
AminoglycosidesAmikacinSSSI
GentamycinSSSS
KanamycinISSR
StreptomycinRRRS
TobramycinISSS
Glycopeptides and lipoglycopeptidesVancomycinSSSS
MacrolidesErythromycinSISS
ClarithromycinSSSS
RifampinSSSR
Other agentsChloramphenicolSSSS
BacitracinRRRR
Colistin (methanesulfonate)RRRR
LincomycinRRRR
NovobiocinSSRR
Trimethoprim/sulfamethoxazoleSSRR
Legend: S-susceptible, I-intermediately resistant and R-resistant.
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

Dimitrova, L.; Ilieva, Y.; Gouliamova, D.; Kussovski, V.; Hubenov, V.; Georgiev, Y.; Bratanova, T.; Kaleva, M.; Zaharieva, M.M.; Najdenski, H. Isolation, Enrichment and Analysis of Aerobic, Anaerobic, Pathogen-Free and Non-Resistant Cellulose-Degrading Microbial Populations from Methanogenic Bioreactor. Genes 2025, 16, 551. https://doi.org/10.3390/genes16050551

AMA Style

Dimitrova L, Ilieva Y, Gouliamova D, Kussovski V, Hubenov V, Georgiev Y, Bratanova T, Kaleva M, Zaharieva MM, Najdenski H. Isolation, Enrichment and Analysis of Aerobic, Anaerobic, Pathogen-Free and Non-Resistant Cellulose-Degrading Microbial Populations from Methanogenic Bioreactor. Genes. 2025; 16(5):551. https://doi.org/10.3390/genes16050551

Chicago/Turabian Style

Dimitrova, Lyudmila, Yana Ilieva, Dilnora Gouliamova, Vesselin Kussovski, Venelin Hubenov, Yordan Georgiev, Tsveta Bratanova, Mila Kaleva, Maya M. Zaharieva, and Hristo Najdenski. 2025. "Isolation, Enrichment and Analysis of Aerobic, Anaerobic, Pathogen-Free and Non-Resistant Cellulose-Degrading Microbial Populations from Methanogenic Bioreactor" Genes 16, no. 5: 551. https://doi.org/10.3390/genes16050551

APA Style

Dimitrova, L., Ilieva, Y., Gouliamova, D., Kussovski, V., Hubenov, V., Georgiev, Y., Bratanova, T., Kaleva, M., Zaharieva, M. M., & Najdenski, H. (2025). Isolation, Enrichment and Analysis of Aerobic, Anaerobic, Pathogen-Free and Non-Resistant Cellulose-Degrading Microbial Populations from Methanogenic Bioreactor. Genes, 16(5), 551. https://doi.org/10.3390/genes16050551

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