- Open Access
The structural and functional contributions of β-glucosidase-producing microbial communities to cellulose degradation in composting
© The Author(s) 2018
- Received: 5 March 2017
- Accepted: 6 February 2018
- Published: 27 February 2018
Compost habitats sustain a vast ensemble of microbes that engender the degradation of cellulose, which is an important part of global carbon cycle. β-Glucosidase is the rate-limiting enzyme of degradation of cellulose. Thus, analysis of regulation of β-glucosidase gene expression in composting is beneficial to a better understanding of cellulose degradation mechanism. Genetic diversity and expression of β-glucosidase-producing microbial communities, and relationships of cellulose degradation, metabolic products and the relative enzyme activity during natural composting and inoculated composting were evaluated.
Compared with natural composting, adding inoculation agent effectively improved the degradation of cellulose, and maintained high level of the carboxymethyl cellulose (CMCase) and β-glucosidase activities in thermophilic phase. Gene expression analysis showed that glycoside hydrolase family 1 (GH1) family of β-glucosidase genes contributed more to β-glucosidase activity in the later thermophilic phase in inoculated compost. In the cooling phase of natural compost, glycoside hydrolase family 3 (GH3) family of β-glucosidase genes contributed more to β-glucosidase activity. Intracellular β-glucosidase activity played a crucial role in the regulation of β-glucosidase gene expression, and upregulation or downregulation was also determined by extracellular concentration of glucose. At sufficiently high glucose concentrations, the functional microbial community in compost was altered, which may contribute to maintaining β-glucosidase activity despite the high glucose content.
This research provides an ecological functional map of microorganisms involved in carbon metabolism in cattle manure–rice straw composting. The performance of the functional microbial groups in the two composting treatments is different, which is related to the cellulase activity and cellulose degradation, respectively.
- Aerobic composting
- Cellulose degradation
- Functional microbial community
Composting is a process involving a complex ecosystem with many interacting factors, in which biodegradable organic wastes are stabilized and converted by the action of some microorganisms under controlled conditions [1, 2]. Microorganisms are the essential factors for the successful operation of composting. To effectively control the composting process, it is necessary to understand the microbial community structure and its change, especially its special role in decomposition of organic matters . In this regard, cellulose the most abundant carbohydrate available from plant biomass, and can be used as a carbon source during composting. All cellulose-degrading organisms possess cellulase systems. Moreover, cellulose degradation is accomplished by the synergistic action among endoglucanases (E.C. 126.96.36.199), cellobiohydrolases (E.C. 188.8.131.52), and β-glucosidases (BGLs, E.C. 184.108.40.206) . Only the first two enzymes act directly, depolymerizing cellulose fiber and releasing final products as oligosaccharides of different sizes, and cellobiose. β-Glucosidase completes the final step of hydrolysis by converting the cellobiose to glucose . β-Glucosidases, which are frequently very sensitive to the presence of glucose, one of the primary products of their catalytic activity [5–7], often play the rate-limiting role in cellulose degradation. This limits their application in commercial scale cellulose degradation ventures [6, 8]. Given the importance of cellulose degradation in providing carbon during the composting process, it is needful to understand the diversity, properties, and expression of the enzymes involved and to identify β-glucosidase enzymes that are insensitive to product inhibition by glucose.
β-Glucosidases are a heterogeneous group of phylogenetically conserved, hydrolytic enzymes widely distributed in the living world. This enzyme family plays a pivotal role in several biological processes . In cellulolytic microorganisms, for example, β-glucosidases are involved in cellulase induction (due to its transglycosylation activities) and cellulose hydrolysis . β-Glucosidases are mostly placed in either family 1 or family 3 of the glycosyl hydrolases, although they are also found in families 5, 9, and 30 of the glycosyl hydrolases [11–13]. Family 1 comprises nearly 62 β-glucosidases from archaebacteria, plants, and mammals, and includes 6-phospho-β-glycosidases and thioglucosidases. Most family 1 enzymes also show significant β-galactosidase activity . Family 3 of the glycosyl hydrolases contains nearly 44 β-glucosidases and hexosaminidases expressed by bacteria, molds, and yeasts. Most of the fungal β-glucosidases belong to family 3 of the glycosyl hydrolases .
β-Glucosidases are expressed by a wide range of organisms. For example, β-glucosidase production has been reported in filamentous fungi, such as Aspergillus niger, Aspergillus oryzae, Penicillium brasilianum, Penicillium decumbens, Phanerochaete chrysosporium, and Paecilomyces spp. There are also reports of β-glucosidase production by yeasts (mostly from Candida spp.) and a few bacteria [15–17], though microscopic fungi appear to be the most important source . Interestingly, several species of Aspergilli are known to produce glucose-tolerant β-glucosidases that are insensitive to product inhibition [18, 19]. β-Glucosidases have attracted considerable attention in recent years due to their important roles in various biotechnological processes such as hydrolysis of isoflavone glucosides, production of fuel ethanol from agricultural residues, release of aromatic compounds from flavorless precursor, etc. . Glucose-tolerant β-glucosidases can circumvent the problem of feedback inhibition in bioethanol production, and it is believed that more glucose-tolerant β-glucosidases may be prevalent in nature, especially in filamentous fungi. Isolating and characterizing these enzymes are likely to help in the design of better enzyme cocktails for biomass hydrolysis, and may help develop targeted approaches for modifying the glucose tolerance of existing β-glucosidases .
Previous studies have investigated β-glucosidase in environmental samples and mostly have focused on cultured microbes . However, less than 1% of microorganisms are culturable under laboratory conditions. Recently, cellulolytic diversity of β-glucosidases and their functions were analyzed in composite environmental samples, such as those gathered during the composting process [21, 22], during the traditional Chinese cereal starter solid-state fermentation process  and from soil samples . However, these researches were still not sufficient for a clear understanding of the relationship between β-glucosidase-producing microbial communities and the degradation of cellulose in composite environmental samples.
In this study, we investigated the genetic diversity and expression of β-glucosidase-producing microbial communities, and relationships between cellulose degradation, metabolic products, and the relative enzyme activity in different phases of composting in the presence and absence of inoculants. This research provides an ecological functional map of microorganisms involved in carbon metabolism in cattle manure-rice straw composting.
Composting process and compost samples
The aerobic composting of cattle manure-rice straw was performed at the College of Resources and Environmental Sciences of Northeast Agricultural University in China. First, cattle manure was moistened with water to achieve a 60% moisture content. Rice straw was moistened with 1% lime water to soften the straw tissue and improve its water retention capacity. Rice straw, cattle mature, urea, calcium superphosphate, and gypsum at a ratio of 90:60:1.5:2.5:3 (wt/wt/wt/wt), respectively, were mixed with an initial C/N ratio of approximately 32:1. The details of the physico-chemical properties of straw-cattle manure compost are described in Xu .
Two pyramidal stacks (2 m in diameter and 1.5 m in height) were built with the mixed materials mentioned above for composting. Lignocellulose-decomposing inoculants (named DN-1) were added to one stack (inoculated compost), and the other control stack did not receive any inoculants (natural compost). The lignocellulolytic inoculants (DN-1) included Phanerochaete chrysosporium, Streptomyces griseorubens C-5, Bacillus subtilis W1, Bacillus methylotrophicus W8, and Bacillus amyloliquefaciens X9. P. chrysosporium was purchased from China General Microbiological Culture Collection Center (CGMCC). S. griseorubens C-5 was isolated from soil in Heilongjiang Province of China. Bacillus subtilis W1; Bacillus methylotrophicus W8 and Bacillus amyloliquefaciens X9 were isolated from fresh cattle manure [26, 27]. Cellulase, laccase, peroxidase, xylanase, amylase, and protease activities were observed in the microorganisms of the inoculants [26, 27]. For the inoculation, the suspension of the inoculants [1 × 109 colony-forming units (CFU) mL−1] were evenly sprayed onto composting substrate at the rate of 10 mL of the suspension versus 1 kg compost. The composting process lasted approximately 46 days, and the piles were turned manually twice a week during the first 2 weeks and then once a week afterward to maintain aeration. Samples were collected from three locations within the stacks (15, 50, and 90 from the top surface of the pile), mixed, and then stored at − 80 °C on days 1, 3, 12, 18, 22, 31, and 46.
Enzymatic activities, degradation of lignocellulose, content of glucose, and cellobiose analysis
Ten grams of sample were transferred to a flask containing 50 mL acetate buffer (0.1 M, pH 5.0). The flask was shaken at 200 r min−1 for 1 h. The homogenate was centrifuged (1315g) at 4 °C for 20 min, and the supernatant was filtered through filter papers (Whatman No. 1) and then used for measurement of enzymatic activity. The assay of CMCase activity was carried out by measuring the reducing sugars by the method as described by Zeng . The activity of β-glucosidase was measured using p-nitrophenyl β-d-glucoside (PNPG) as described by Herr . The intracellular β-glucosidase fraction was estimated in the supernatant fraction of a portion of the acid-treated compost samples with glass beads, and then using p-nitrophenyl β-d-glucoside (PNPG) as described by Herr .
The glucose and cellobiose contents in the samples were determined with high-performance liquid chromatography (HPLC), using the Bio-Rad Aminex HPX-87H chromatographic column (Bio-Rad, America) with 0.005 M H2SO4 as the mobile phase, a column temperature of 60 °C, and a velocity of 0.5 mL min−1, as assessed by a refractive index detector.
The cellulose, hemicellulose, and lignin contents were determined with an ANKOM220 fiber analyzer using the method described by Van . Briefly, the hemicellulose content was estimated as the difference between the neutral-detergent fiber (NDF) and the acid-detergent fiber (ADF); the cellulose content was estimated as the difference between the ADF and the acid-detergent lignin (ADL); and the lignin content was estimated as the difference between the ADL and the ash content.
DNA and cDNA preparation
DNA was extracted from compost samples (3 g) using a procedure described previously by Liu et al. . After DNA extraction, the crude DNA was purified using the E.Z.N.A. Gel Extraction Kit (Omega Bio-Tek, Inc., Georgia, USA). Total RNA was extracted from the samples using an RNA PowerSoil total RNA isolation kit (MoBio, Inc., Carlsbad, CA USA) according to the manufacturer’s guidelines.
cDNA was generated from the total RNA using a PrimeScript™ RT Reagent Kit with gDNA Eraser (Perfect Real Time) (Takara Bio, Inc., Japan) according to the manufacturer’s guidelines. Random hexamers were used as primers during the first strand synthesis. RT Primer Mix, which contains an Oligo dT Primer and Random hexamers, was used during the second strand synthesis.
PCR-DGGE analysis of the GH1B and GH3E expression
Primers used for PCR-DGGE and thermal denaturation conditions of the primers
GH1 family gene (bacteria)
CCT ACC AGA TYC ARG G
GAG GAA GRT CCC ART G
95 °C, 30 s, one cycle, 95 °C for 5 s, 50 °C for 30 s, 72 °C for 60 s, 45 cycles
CCT ACC AGA TYG ARG GCGC CCG CCG CGC GCG GCG GGC GGG GCG GGG GCA CGG G
GH3 family gene (fungi)
GGT GGT CGC RRY TGG GA
CCA GGC ATC GGW CAT RTC
95 °C, 30 s, one cycle, 95 °C for 5 s, 56 °C for 30 s, 72 °C for 60 s, 45 cycles
CGC CCG CCG CGC GCG GCG GGC GGG GCG GGG GCA CGG GGG TGG TCG CRR YTG GGA
Real-time PCR quantification (qPCR) of β-glucosidase genes
GenBank accession numbers and similarities of the most homologous sequences to the nucleotide sequences isolated from the DGGE bands selected in this study
Most similar known sequence in GenBank
Universal and specific primers of β-glucosidase genes for real-time quantitative PCR
GH1 family genes (bacteria)
CCT ACC AGA TYC ARG G
GAG GAA GRT CCC ART G
GH3 family genes (fungi)
GGT GGT CGC RRY TGG GA
CCA GGC ATC GGW CAT RTC
DNA and RNA served as templates for the quantitative analysis of gene abundance and expression, respectively. qPCR was conducted using SYBR® Premix Ex Taq™ II (Perfect Real Time) (Takara Bio, Inc., Japan) in a typical 20 μL PCR mixture; the reaction conditions are listed in Tables 1 and 3. Then, the samples were run on the Applied Biosystems 7500/7500 fast real-time PCR systems (Applied Biosystems, USA) . qPCR of β-glucosidase genes was performed in triplicate as described in the Additional file 4. Melting curve analysis and agarose gel electrophoresis confirmed the specificity of the amplification.
SPSS 13.0 for windows was used for the statistical analysis. One-way repeated measures ANOVA was used to test differences in the measured parameters during composting, and post hoc Tukey’s test was used to further investigate these differences (p < 0.05). Graphpad Prism 6 (GraphPad Software, Inc., USA) was used for the data analysis and draw data charts.
Temperature evolution during composting
Degradation of lignocellulose during composting
Dynamic of cellobiose and glucose during composting
Dynamic of β-glucosidase activity and CMCase activity during composting
PCR-DGGE analysis of the composition of the functional microbial community during composting
β-Glucosidase gene characterization and quantification
Fungal β-glucosidase-encoding gene (GH3E) abundance remained at a relatively stable level during the whole composting process both in natural (8.03 log copies g−1) and inoculated (9.48 log copies g−1) on day 18 (Additional file 1: Figure S1c). In general, copy number of cDNA of GH3E gene increased in both natural and inoculated compost during the entire composting process (Additional file 1: Figure S1d). Interestingly, on day 12, a higher value of cDNA copy number was observed in samples of natural compost, but a lower value was observed in inoculated compost. Similar phenomenon was also found in the dynamic of bacterial cDNA copy number (Additional file 1: Figure S1b). It is noteworthy that the cDNA copy number and transcription efficiency of GH3E gene were higher in natural compost than in inoculated compost in thermophilic phase of composting (Fig. 6b and Additional file 1: Figure S1d).
Despite some fluctuations, generally, cDNA copy number and transcription efficiency of GH1B-a1, GH1B-b1, GH1B-c1, and GH1B-d1 genes showed similar patterns in thermophilic phase (Fig. 6 and Additional file 2: Figure S2), which were consistent with those of GH1B genes (Additional file 1: Figure S1b) both in natural and in inoculated composts. However, in cooling phase, the cDNA copy number and transcription efficiency were different from those of GH1B gene. cDNA copy number and transcription efficiency of GH3E-d3 and GH3E-e3 genes showed similar trends with GH3E gene in the both composts during composting process and exhibited a higher level in cooling phase than in thermophilic phase (Fig. 6 and Additional file 3: Figure S3).
For decades, linking microbial community composition and function in the natural environment had been challenging. Nowadays, however, the availability of an increasing amount of quantitative analyses of the expression of functional gene and the relevant physical as well as chemical properties in environmental samples provide one way to link microbial community composition and function traits. It is well known that the β-glucosidase is the rate-limiting enzyme of degradation of cellulose. Therefore, analysis of regulation of β-glucosidase gene expression in composting could characterize the degradation of cellulose. Metagenomic analysis of microbial consortia enriched from compost showed that β-glucosidases are mostly present in GH3 and GH1 . In this study, expression of GH1 and GH3 family β-glucosidase-encoding genes related to the degradation of cellulose was investigated in natural and inoculated composting. The results showed that inoculating agents caused differences between the two composts, including degradation efficiencies of cellulose and functional microbial activity across the mesophilic phase, the thermophilic phase, and the cooling phase. These report advances existing knowledge by showing that microbial communities have the metabolic potential to utilize cellulose and the byproducts of cellulose degradation in compost environment.
The results of this study further confirmed that cellulose degradation largely occurred in the thermophilic phase of inoculated compost (Fig. 2). In addition, the corresponding CMCase and β-glucosidase activities were relatively higher in the thermophilic phase of inoculated compost, which could explain the higher efficiency of cellulose degradation than natural compost.
Interestingly, from days 3 to 18, cellobiose content was significantly higher in natural compost than in inoculated compost in the thermophilic phase (Fig. 4). Cellobiose was generally considered as an inducer to induction of cellulase genes. Cellobiose and its transglycosylation products: sophorose and gentiobiose were considered the “true” inducers due to their strong inductive effects on cellulase expression in P. decumbens, T. reesei, and Penicillium purpurogenum [15–17, 38]. In this study, the transcription efficiency of the bacterial and fungal β-glucosidase genes was higher in nature compost than in inoculant compost samples (Fig. 6a, b). This could be explained by the fact that cellobiose accumulation achieved a peak in natural compost on day 12 of composting, which might induce the transcription of β-glucosidases genes. In addition, the transcription levels of the bacterial and fungal β-glucosidase genes in natural compost were higher than those in inoculated compost (Additional file 1: Figure S1). Meanwhile, higher levels of transcription of β-glucosidases genes were also found in other individual community members, such as for GH1B-c1, GH1B-d1, and GH3E-d3 in natural compost than in inoculated compost (Additional files 2: Figure S2, Additional file 3: Figure S3). Although up-regulation of expression of β-glucosidase genes occurred in natural compost on day 12, the up-regulated level of enzyme activity was still lower than that in inoculated compost (Fig. 4b, c). We speculated that GH1B-a1 (Additional file 2: Figure S2b), which showed higher transcription effectiveness in inoculated compost, and the other β-glucosidase genes, which were not scanned in this experiment, might contribute more in enzyme activity of β-glucosidase. In addition, the higher temperature in inoculated compost could also play an important role in improving enzyme activity of β-glucosidase. Hollister et al.  found that the thermophilic metagenome was significantly enriched in genes related to the uptake of cellobiose compared with mesophilic metagenome, indicating that high temperature could facilitate the uptake of cellobiose. In addition, intracellular cellobiose was more effective in inducing cellulase than extracellular hydrolysis . In this study, it was observed that intracellular β-glucosidase activity in inoculated compost was higher than that in natural compost, suggesting that higher potential transglycosylation activity existed in inoculated compost (Fig. 4c).
In natural compost, most of β-glucosidase genes performed with high transcription level and transcription efficiency, but with low abundance. This phenomenon was found in Pathan’s report that some β-glucosidase genes with low abundance in DNA showed high transcriptional activity, which indicated the importance of these low abundance taxa in cellobiose utilization . However, in inoculated compost, the functional genes performed with high abundance but low transcription efficiency. Based on the observation above, it is concluded that the microbial community presented in inoculated compost could produce cellulase and utilize cellobiose more efficiently.
In this experiment, bacterial GH1 family β-glucosidase genes contributed more to β-glucosidase activity than fungal GH3 family β-glucosidase genes in the later thermophilic phase (from days 18 to 22) in the inoculated compost. Furthermore, at the later stages of the thermophilic phase, in nature compost and inoculant compost, the temperature was over 45 and 60 °C, respectively (Fig. 1). By this time, the transcription efficiency and gene abundance were at the lowest level for both the overall fungal β-glucosidase gene pool, as well as for that of individual community members (GH3E-d3 and GH3E-e3) in both composts (Fig. 6 and Additional file 1: Figure S1, Additional file 3: Figure S3). Conversely, the transcriptional efficiency of GH1B-a1 and GH1B-c1 genes was significantly elevated in the thermophilic phase of inoculated compost, which might be due to the thermophilic nature of these bacteria [42, 43]. A similar phenomenon was found by Simmons , where it was shown that several GH family 1 proteins (that is, bacterial genes) were significantly overexpressed in the thermophilic community, whereas GH family 3 (predominantly fungal) genes were significantly overexpressed in the mesophilic community.
In the cooling phase of the natural compost (day 18–day 46), the CMCase and β-glucosidase activities maintained at stable high level (Fig. 4a, b). Cellobiose and glucose were produced and accumulated, and concentration of both reached the maximum on day 46 (Fig. 3). In inoculated compost, the accumulation of cellobiose and glucose occurred from days 18 to 22, but on day 46, cellobiose and glucose were not detected in microbial metabolism (Fig. 3). Based on the observations above, it is reasonable to infer that the degradation of cellulose was conducted smoothly in inoculated compost. On the contrary, this process was disturbed in natural compost.
The β-glucosidase genes from GH family 3, which showed higher transcription levels (Additional file 1: Figure S1d), may be functionally important in the cooling phase of the natural compost. In natural compost, expression of GH3E-d3 and GH3E-e3 were generally up-regulated from days 18 to 46, except for temporary down-regulation from days 22 to 31 (Fig. 6g, h). The down-regulation could be explained by high level of intracellular β-glucosidase activity occurring in the same period (days 22–31) (Fig. 4c), indicating that intracellular β-glucosidase activity played a very crucial role in the regulation of β-glucosidase gene expression. In the report of Berry et al. , action of intracellular β-glucosidase IG-1 of Monilia sp, which caused the accumulation of glucose within the cell, was supposed to lead to the repression of cellulase production. However, high level of intracellular β-glucosidase activity was associated with up-regulation of transcriptional activity on day 12 in natural compost (Fig. 6a). This up-regulation was possibly caused by the low concentration of extracellular glucose. Therefore, it is proposed that the regulation of expression of β-glucosidase genes was determined not only by intracellular β-glucosidase activity but also by concentration of extracellular glucose.
β-Glucosidase activity can be affected by many factors during the degradation of cellulose to glucose. Several studies have shown that most β-glucosidases are sensitive to glucose, and can be inhibited by the presence of 0.5 and 100 mM glucose due to product feedback [4, 46–48]. Our results showed that high concentrations of glucose in natural compost were associated with a decrease in β-glucosidase activity (Fig. 4b), which is in accordance with the findings of previous researchers.
Based on the observation that Trp168 and Leu173 were conserved in glucose-tolerant GH1 enzymes using Giuseppe’s method , we found that the proportion of glucose-tolerant GH1B genes encoding glucose-tolerant β-glucosidases increased from 56 to 77.78% (unpublished data) from day 22 to day 46 in natural compost with the increase of concentration of glucose. The translational efficiency of the GHIB-d1 gene showed a tendency of increase in natural compost from day 31 to day 46 (Fig. 6). β-Glucosidases from Derosia spp. were reported to be glucose-tolerant . However, the translational efficiency of non-sugar tolerant genes was significantly inhibited, such as GH1B-a1 and GHIB-c1 (Fig. 6). This finding was consistent with the work of Pérezpons who reported that β-glucosidase activity of Streptomyces sp. QM-B814 was inhibited in the presence of glucose . The results suggested that, at sufficiently high glucose concentrations, the functional microbial community was altered and contributes to maintaining the operation of the enzyme despite the high glucose content.
In this study, the microbial community presented in inoculated compost could produce cellulase and degrade cellulose more efficiently. Intracellular β-glucosidase activity played a crucial role in regulation of β-glucosidase gene expression, and the up-regulation or down-regulation was also determined by concentration of extracellular glucose. At sufficiently high glucose concentrations, the functional microbial community in compost was altered, which may contribute to maintaining β-glucosidase activity despite the high glucose content. These results provide an efficient approach to more efficiently degrade cellulose in compost, thereby enhancing the activity of β-glucosidase by promoting β-glucosidase-encoding genes expression.
XZ and HL conceived the experiments. XZ and ML performed the majority of the experiments; YF and JX conducted the compost experiments. XZ and ML performed the physical and chemical and molecular biology experiments. XZ and ML performed data analysis. XZ, HL, and XX wrote the manuscript. All authors read and approved the final manuscript.
Our sincere appreciation is expressed for the participation of Dr. Hongtao Li, Professor of Environmental Microbiology, Northeast Agricultural University, China, in the theoretical guidance in this study, Dr. Jie Xu and Dr. Xiuhong Xu, Professor of Environmental Microbiology, Northeast Agricultural University, China, in the technical support of the research.
The authors declare that they have no competing interests.
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Consent for publication
Ethics approval and consent to participate
This work was supported by Grants from the National Natural Science Foundation of China (31300428, 31372351, and 31672469), the provincial Science Foundation of Heilongjiang (C2015005), the Scientific Research Fund of Heilongjiang Provincial Education Department (12541009), and the postdoctoral science-research developmental foundation of Heilongjiang province (LBH-Q13017).
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Tang JC, Kanamori T, Inoue Y, Yasuta T, Yoshida S, Katayama A. Changes in the microbial community structure during thermophilic composting of manure as detected by the quinone profile method. Process Biochem. 2004;39(12):1999–2006.View ArticleGoogle Scholar
- Khalil AI, Beheary MS, Salem EM. Monitoring of microbial populations and their cellulolytic activities during the composting of municipal solid wastes. World J Microbiol Biotechnol. 2001;17(2):155–61.View ArticleGoogle Scholar
- Beffa T, Blanc M, Lyon PF, Vogt G, Marchiani M, Fischer JL, et al. Isolation of thermus strains from hot composts (60–80 °C). Appl Environ Microbiol. 1996;62(5):1723–7.Google Scholar
- Woodward J. Synergism in cellulase systems. Bioresour Technol. 1991;36(1):67–75.View ArticleGoogle Scholar
- Alef K, Nannipieri P. Methods in applied soil microbiology & biochemistry. Waltham: Academic Press; 1995.Google Scholar
- Riou C, Salmon JM, Vallier MJ, Günata Z, Barre P. Purification, characterization, and substrate specificity of a novel highly glucose-tolerant beta-glucosidase from Aspergillus oryzae. Appl Environ Microbiol. 1998;64(10):3607–14.Google Scholar
- Decker C, Visser J, Schreier P. β-glucosidase multiplicity from Aspergillus tubingensis CBS 643.92: purification and characterization of four β-glucosidases and their differentiation with respect to substrate specificity, glucose inhibition and acid tolerance. Appl Microbiol Biotechnol. 2001;55(2):157–63.View ArticleGoogle Scholar
- Günata Z, Vallier MJ. Production of a highly glucose-tolerant extracellular β-glucosidase by three Aspergillus strains. Biotech Lett. 1999;21(3):219–23.View ArticleGoogle Scholar
- Bhatia Y, Mishra S, Bisaria VS. Microbial beta-glucosidases: cloning, properties, and applications. Crit Rev Biotechnol. 2002;22(4):375–407.View ArticleGoogle Scholar
- Mach RL, Seiboth B, Myasnikov A, Gonzalez R, Strauss J, Harkki AM, et al. The bgl1 gene of Trichoderma reesei QM 9414 encodes an extracellular, cellulose-inducible β-glucosidase involved in cellulase induction by sophorose. Mol Microbiol. 1995;16(4):687–97.View ArticleGoogle Scholar
- Henrissat B. A classification of glycosyl hydrolases based on amino acid sequence similarities. Biochem J. 1991;280(Pt 2):309–16.View ArticleGoogle Scholar
- Cantarel BL, Coutinho PM, Rancurel C, Bernard T, Lombard V, Henrissat B. The carbohydrate-active enzymes database (cazy): an expert resource for glycogenomics. Nucleic Acids Res. 2009;37:D233–8.View ArticleGoogle Scholar
- Opassiri R, Pomthong B, Akiyama T, Nakphaichit M, Onkoksoong T, Ketudat CM, et al. A stress-induced rice (Oryza sativa L.) beta-glucosidase represents a new subfamily of glycosyl hydrolase family 5 containing a fascin-like domain. Biochem J. 2008;408(2):241–9.View ArticleGoogle Scholar
- Singhania RR, Patel AK, Sukumaran RK, Larroche C, Pandey A. Role and significance of beta-glucosidases in the hydrolysis of cellulose for bioethanol production. Bioresour Technol. 2013;127(1):500–7.View ArticleGoogle Scholar
- Chen M, Qin Y, Cao Q, Liu G, Li J, Li Z, et al. Promotion of extracellular lignocellulolytic enzymes production by restraining the intracellular β-glucosidase in Penicillium decumbens. Bioresour Technol. 2013;137:33–40.View ArticleGoogle Scholar
- Saloheimo M, Kuja-Panula J, Ylösmäki E, Ward M, Penttilä M. Enzymatic properties and intracellular localization of the novel Trichoderma reesei beta-glucosidase BGLII (Cel1A). Appl Environ Microbiol. 2002;68(9):4546–53.View ArticleGoogle Scholar
- Kurasawa T, Yachi M, Suto M, Kamagata Y, Takao S, Tomita F. Induction of cellulase by gentiobiose and its sulfur-containing analog in Penicillium purpurogenum. Appl Environ Microbiol. 1992;58(1):106–10.Google Scholar
- Sonia KGCBS, Badhan AK, Saini HS, Bhat MK. Identification of glucose tolerant acid active β-glucosidases from thermophilic and thermotolerant fungi. World J Microbiol Biotechnol. 2008;24(5):599–604.View ArticleGoogle Scholar
- Rajasree KP, Mathew GM, Pandey A, Sukumaran RK. Highly glucose tolerant β-glucosidase from Aspergillus unguis: NII 08123 for enhanced hydrolysis of biomass. J Ind Microbiol Biotechnol. 2013;40(9):967–75.View ArticleGoogle Scholar
- Krogh KBRM, Harris PV, Olsen CL, Johansen KS, Hojer-Pedersen J, Borjesson J. Characterization and kinetic analysis of a thermostable GH3 β-glucosidase from Penicillium brasilianum. Appl Microbiol Biotechnol. 2010;86(1):143–54.View ArticleGoogle Scholar
- Uchiyama Taku, Miyazaki Kentaro, Yaoi Katsuro. Characterization of a novel β-glucosidase from a compost microbial metagenome with strong transglycosylation activity. J Biol Chem. 2013;288(25):18325–34.View ArticleGoogle Scholar
- Li H, Xu X, Chen H, Zhang Y, Xu J, Wang J, et al. Molecular analyses of the functional microbial community in composting by PCR-DGGE targeting the genes of the β-glucosidase. Bioresour Technol. 2013;134:51–8.View ArticleGoogle Scholar
- Li P, Liang H, Lin WT, Feng F, Luo L. Microbiota dynamics associated with environmental conditions and potential roles of cellulolytic communities in traditional chinese cereal starter solid-state fermentation. Appl Environ Microbiol. 2015;81(15):5144–56.View ArticleGoogle Scholar
- Cañizares R, Benitez E, Ogunseitan OA. Molecular analyses of β-glucosidase diversity and function in soil. Eur J Soil Biol. 2011;47(1):1–8.View ArticleGoogle Scholar
- Xu J, Xu X, Yue L, Li H, Liu H. Effect of microbiological inoculants dn-1 on lignocellulose degradation during co-composting of cattle manure with rice straw monitored by FTIR and SEM. Environ Prog Sustain Energy. 2015;35(2):345–51.View ArticleGoogle Scholar
- Xu J, Yang Q. Isolation and characterization of rice straw degrading Streptomyces griseorubens C-5. Biodegradation. 2010;21(1):107–16.View ArticleGoogle Scholar
- Jie X, Xu X, Yue L, Li H. Analysis of effect of inocula on microbial community metabolic profiles during composting using BIOLOG method. J Nanjing Univ Sci Technol. 2014;38(1):181–6.Google Scholar
- Zeng G, Yu M, Chen Y, Huang D, Zhang J, Huang H, et al. Effects of inoculation with Phanerochaete chrysosporium at various time points on enzyme activities during agricultural waste composting. Bioresour Technol. 2010;101(1):222–7.View ArticleGoogle Scholar
- Herr D. Secretion of cellulase and beta-glucosidase by Trichoderma viride ITCC-1433 in submerged culture on different substrates. Biotechnol Bioeng. 1979;21(8):1361–71.View ArticleGoogle Scholar
- Van Soest PJ, Robertson JB, Lewis BA. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci. 1991;74:3583–97.View ArticleGoogle Scholar
- Liu J, Zhang X, Fang Z, Wei F, Hui P, Xiao Y. The 184th residue of β-glucosidase Bgl1b plays an important role in glucose tolerance. J Biosci Bioeng. 2011;112(5):447–50.View ArticleGoogle Scholar
- Jurado MM, Suárez-Estrella F, Vargas-García MC, López MJ, López González JA, Moreno J. Increasing native microbiota in lignocellulosic waste composting: effects on process efficiency and final product maturity. Process Biochem. 2014;49(11):1958–69.View ArticleGoogle Scholar
- Jurado MM, Moreno J. Enhanced turnover of organic matter fractions by microbial stimulation during lignocellulosic waste composting. Bioresour Technol. 2015;186:15–24.View ArticleGoogle Scholar
- Bernal MP, Alburquerque JA, Moral R. Composting of animal manures and chemical criteria for compost maturity assessment. A review. Bioresour Technol. 2009;100(22):5444–53.View ArticleGoogle Scholar
- Zeng GM, Huang HL, Huang DL, Yuan XZ, Jiang RQ, Yu M, et al. Effect of inoculating white-rot fungus during different phases on the compost maturity of agricultural wastes. Process Biochem. 2009;44(4):396–400.View ArticleGoogle Scholar
- Tuomela M, Vikman M, Hatakka A, Itävaara M. Biodegradation of lignin in a compost environment: a review. Bioresour Technol. 2000;72(2):169–83.View ArticleGoogle Scholar
- Wang C, Dong D, Wang HS, Müller K, Qin Y, Wang HL, et al. Metagenomic analysis of microbial consortia enriched from compost: new insights into the role of Actinobacteria in lignocellulose decomposition. Biotechnol Biofuels. 2016;9(1):22.View ArticleGoogle Scholar
- Jourdier E, Cohen C, Poughon L, Larroche C, Monot F, Chaabane FB. Cellulase activity mapping of Trichoderma reesei cultivated in sugar mixtures under fed-batch conditions. Biotechnol Biofuels. 2013;6(1):79.View ArticleGoogle Scholar
- Hollister EB, Forrest AK, Wilkinson HH, Ebbole DJ, Tringe SG, Malfatti SA, et al. Mesophilic and thermophilic conditions select for unique but highly parallel microbial communities to perform carboxylate platform biomass conversion. PLoS ONE. 2012;7(6):e39689.View ArticleGoogle Scholar
- Fritscher C, Messner R, Kubicek CP. Cellobiose metabolism and cellobiohydrolase I biosynthesis by Trichoderma reesei. Exp Mycol. 1990;14(4):405–15.View ArticleGoogle Scholar
- Pathan SI, Žifčáková L, Ceccherini MT, Pantani OL, Větrovský T, Baldrian P. Seasonal variation and distribution of total and active microbial community of β-glucosidase encoding genes in coniferous forest soil. Soil Biol Biochem. 2017;105:71–80.View ArticleGoogle Scholar
- Steger K, Sjogren AM, Jarvis A, Jansson JK, Sundh I. Development of compost maturity and Actinobacteria populations during full scale composting of organic household waste. J Appl Microbiol. 2007;103(2):487–98.View ArticleGoogle Scholar
- Karadag D, Özkaya B, Ölmez E, Nissilä ME, Çakmakçı M, Yıldız Şenol, et al. Profiling of bacterial community in a full-scale aerobic composting plant. Int Biodeterior Biodegradation. 2013;77(2):85–90.View ArticleGoogle Scholar
- Simmons CW, Reddy AP, D’Haeseleer P, Khudyakov J, Billis K, Pati A, et al. Metatranscriptomic analysis of lignocellulolytic microbial communities involved in high-solids decomposition of rice straw. Biotechnol Biofuels. 2014;7(1):1–13.View ArticleGoogle Scholar
- Berry RK, Dekker RFH. Induction studies showing evidence of the similarities between an inducible intracellular and extracellular β-d-glucosidase produced by a species of Monilia. FEMS Microbiol Lett. 1984;21(3):309–12.Google Scholar
- Hong J, Tamaki H, Kumagai H. Unusual hydrophobic linker region of beta-glucosidase (BGLII) from Thermoascus aurantiacus is required for hyper-activation by organic solvents. Appl Microbiol Biotechnol. 2006;73(1):80–8.View ArticleGoogle Scholar
- Saha BC, Bothast RJ. Production, purification, and characterization of a highly glucose-tolerant novel beta-glucosidase from Candida peltata. Appl Environ Microbiol. 1996;62(9):3165–70.Google Scholar
- Watanabe T, Sato T, Yoshioka S, Koshijima T, Kuwahara M. Purificication and properties of Aspergillus niger β-glucosidase. Eur J Biochem. 1992;209(2):651–9.View ArticleGoogle Scholar
- de Giuseppe PO, Souza TA, Souza FH, Zanphorlin LM, Machado CB, Ward RJ, et al. Structural basis for glucose tolerance in GH1 β-glucosidases. Acta Crystallogr D Biol Crystallogr. 2014;70(6):1631–9.View ArticleGoogle Scholar
- Pérezpons JA, Rebordosa X, Querol E. Induction and preliminary characterization of intracellular beta-glucosidases from a cellulolytic streptomyces strain. FEMS Microbiol Lett. 1995;128(3):235–9.View ArticleGoogle Scholar