Literature DB >> 35627226

Whole-Genome Sequencing Reveals Lignin-Degrading Capacity of a Ligninolytic Bacterium (Bacillus cereus) from Buffalo (Bubalus bubalis) Rumen.

Huimin Zhong1, Jiayan Zhou1, Fan Wang1, Wenqing Wu1, Mohamed Abdelrahman2,3, Xiang Li1,2,4.   

Abstract

The buffalo is an amazing ruminant. Its ability to degrade lignin, which has been recently reported, is most likely due to unique rumen microorganisms with lignin-degradation potential. Our goal was to explore the lignin-degradation potential of ruminal microorganisms, in which ligninolytic enzyme encoding genes were involved to provide ideas for revealing the mechanism of lignin degradation by buffalo. In this study, a bacterium strain identified as Bacillus cereus AH7-7 was isolated from the buffalo (Bubalus bubalis) rumen. After whole-genome sequencing, the results demonstrated that B. cereus AH7-7 had laccase, cytochrome P450 and vanillin alcohol oxidase-encoding genes. Sixty-four genes of B. cereus AH7-7 were involved in multiple aromatic metabolic pathways, such as phenylalanine metabolism and aminobenzoate degradation. A positive reaction resulting in guaiacol medium indicated that laccase secretion from B. cereus AH7-7 increased with time. A biodegradation experiment revealed that a significant reduction in kraft lignin content (25.9%) by B. cereus AH7-7 occurred at the end of 6 days of incubation, which confirmed its lignin-degradation capacity. Overall, this is the first report showing that B. cereus AH7-7 from the buffalo rumen can degrade lignin, and revealing the encoding genes of lignin-degrading enzymes from genome level.

Entities:  

Keywords:  Bacillus cereus; buffalo rumen; enzymology; lignin-degrading; whole-genome sequencing

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Year:  2022        PMID: 35627226      PMCID: PMC9140826          DOI: 10.3390/genes13050842

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.141


1. Introduction

Lignin is an extremely stable aromatic three-dimensional polymer embedded between cellulose and hemicellulose in plants. It can reduce the nutritional value and utilisation of roughage and hinder the digestive ability of common animals [1]. Thus, the microbial degradation of lignin has become a research hotspot. At present, it has been shown that proteobacteria and actinomycetes are the main bacteria phyla with lignin-degradation functions [2,3]. Bacteria such as Sphingomonas [4], Pseudomonas [5], Rhodococcus [6], Nocardia [7,8] and Bacillus [9] possess the capacity to degrade lignin; however, the genomic characteristics of most lignin-degrading bacteria at the whole genome level still remain unknown. The typical lignin-degrading enzymes laccase [10] and dye decolourising peroxidase [11] are widespread in bacteria, and perform the function of degrading lignin. Moreover, bacteria contain another set of lignin-degrading enzymes, including monooxygenases such as cytochrome P450 [12], dioxygenase [13], phenoloxidase [14], catalase-peroxidase [11], glutathione s-transferase [4,15,16], glutathione dependence-β-etherase [17], glutathione lyase [18] and manganese-dependent superoxide dismutase [19]. Gene level research can better reveal the ability of a strain to produce lignin degrading enzymes. For example, research reported that the structural difference in the 5′UTR region of laccase type genes could influence the expression of the genes [20]. Transformation at the gene level is also a current research direction, the overexpression of a laccase-encoding gene providing G. trabeum with ligninolytic activity on wood [21]. Buffalos have a strong tolerance to roughage, and were reported as the first mammal to degrade lignin efficiently [22]. Studies found that the digestibility of crude protein, dry matter and organic matter in rice straw roughage in the buffalo rumen was significantly higher than in cattle, and the utilisation of acid detergent fibre was also more efficient [23,24]. The peculiar rumen microbial system of buffalos is the reason why the buffalo grows more than cattle in a long dry season without green grass. This ability for lignin degradation might be due to the unique rumen microflora of buffalo. Many studies have shown that the amount of the cellulolytic bacteria Ruminococcus albus in buffalo rumen is significantly higher than in beef cattle, and the total number of cellulolytic, proteolytic and amylolytic bacteria of buffalo rumen fed with rice straw was significantly higher than in cattle fed the same way [24]. Wang et al. isolated three strains with lignin-degradation potential from the buffalo rumen for the first time: Ochrobactrum pseudintermedium, Klebsiella pneumoniae and Bacillus sonorensis [25]. Similarly, six strains with lignin degradation potential have been recently isolated [26]. We hypothesised that the ability of buffalo ruminal lignin-degrading bacteria results from its unique ligninolytic enzymatic system. The present study aimed to explore the lignin-degrading ability of potentially ligninolytic strains based on genomics and enzymology. Our findings may shed light on the mechanism of lignin degradation by buffalo.

2. Materials and Methods

2.1. Isolation and Identification of Lignin-Degrading Bacteria

As inoculum material, rumen content collected from fistula buffalos raised in Hubei Jingniu Animal Husbandry Co., Ltd was used. To avoid the disturbance from forage, the rumen content was collected from three fistula buffalos (Mediterranean × Nili-Ravi, seven years old, 572 ± 24 kg) after 24 h of fasting. Enriched cultures from enriched medium were transferred to the lignin-degrading bacteria screening medium and grown under anaerobic conditions at 39 °C. Over a 10-day period, three consecutive transfers were performed and then the cultures were streaked onto Luria Broth agar to obtain pure cultures. The compositions of the media were as follows: Rumen fluid: the rumen content was filtered through four layers of clean gauze to obtain the supernatant fluid, the supernatant fluid from three buffalos was mixed in equal proportion, and then the rumen fluid centrifuged at 9000 rpm at 4 °C for 10 min. Phosphate-buffered mineral salts medium A (per litre): [(NH4)2SO4, 3.0 g; NaCl, 6.0 g; KH2PO4, 3.0 g; CaCl2·2H2O, 0.4 g; MgSO4·7H2O, 0.6 g. Phosphate-buffered mineral salts medium B (per litre): K2HPO4·3H2O, 4.0 g. Enrichment medium (per litre): 170 mL rumen fluid, 165 mL phosphate-buffered mineral salts medium A, 165 mL phosphate-buffered mineral salts medium B, 0.5 mg copper sulphate, 1.0 g tryptone, 1.0 g yeast extract. Screening medium (per litre): 165 mL phosphate-buffered mineral salts medium A, 165 mL phosphate-buffered mineral salts medium B, 5.0 g sodium lignosulfonate. The bacterial strain eventually isolated from the buffalo rumen was named AH7-7. A purified strain of AH7-7 was successively diluted with sterile saline, streaked onto the Luria Broth agar, incubated at 39 °C for 24 h, and then the characteristics of colonies were observed. The isolated strain AH7-7 was observed by Gram staining. Classical physiological and biochemical characteristics of strain AH7-7 were tentatively identified according to the Taxonomic Outline of the Prokaryotes Bergey’s Manual of Systematic Bacteriology [27]. Bacterial 16S rRNA sequencing and gyrB sequencing were used for molecular identification. For PCR amplification in 16S rRNA sequencing, 27F (5′-GAGTTTGATCCTGGCTCAG-3′) was used as the forward primer and 1492R (5′-TACGGTTACCTTGTTACGACTT-3′) as the reverse primer. For gyrB sequencing, gyrbF (5′-ATTGGTGACACCGATCAAACA-3′) was used as the forward primer and gyrbR (5′-TCATACGTATGGATGTTATTC-3′) as the reverse primer. PCR amplification was at a total reaction volume of 30 µL, which included 10.5 µL nuclease free water, 1.5 µL of each primer, 1.5 µL genomic DNA and 15 µL Master Mix (KOD ONE MM, TOYOBO). For the PCR setup, the initial denaturation step was performed at 95 °C for 2 min, followed by 25 cycles (denaturation at 98 °C for 10 s, program of annealing at 55 °C for 30 s, extension at 72 °C for 90 s), and the final extension step was performed at 72 °C for 2 min. Bacterial 16S rRNA sequencing and gyrB sequencing were performed by the China Centre for Type Culture Collection. The sequencing results were compared with the data on the NCBI database (accessed on 30 November 2020). Drawing of a phylogenetic tree was completed by MEGA7 software with the statistical method of maximun likelihood. The bootstrap method was used for test of phylogeny. The number of bootstrap replications was 1000.

2.2. DNA Library Preparation, Whole-Genome Sequencing and Assembly

The enrichment medium of lignin-degrading bacteria was used for pure culture of strain AH7-7. The CTAB method was adopted to extract DNA, and the total amount of DNA was detected by a Quant-IT Pico-Green dsDNA assay kit (Invitrogen, Shanghai, China). Second-generation libraries were made according to the Illumina TruSeq Nano DNA LT library preparation process. The experimental process was based on a TruSeq™ DNA Sample Prep kit. Next-generation sequencing libraries were sequenced based on the Illumina NovaSeq sequencing platform, paired-end 2 × 150 bp sequencing mode, and the library insert size was 400 bp. The steps of third-generation library preparation followed the protocol formulated by Oxford Nanopore Technologies, including sample quality inspection, library construction, library-quality inspection and library sequencing. Nanodrop, Qubit and 0.35% agarose gel electrophoresis were used to conduct a quality inspection of genomic DNA. An automatic nucleic acid recovery machine (BluePippin) was used to recover large-fragment DNA. To build the library, we used an SQK-LSK109 ligation kit (Oxford Nanopore Technologies, Oxford, UK). The third-generation libraries were sequenced based on the Oxford Nanopore ONT sequencing platform. FastQC0.11.8 was used to control the quality of the next-generation sequencing data [28], and AdapterRemoval2.2.2 was used to remove contaminated low-quality reads from the 3′ end connector [29]. SOAPdenovo2 was used to calibrate the quality of all reads based on the Kmer frequency; the Kmer was set to 17 [30]. Three generations of data were assembled by HGAP3 [31] and CANU1.8 [20] to obtain the contig sequences. Pilon1.23 was used to correct the next-generation high-quality data for the third-generation contig results [32]; the complete sequence was eventually obtained. Personabio Biotechnology Co., Ltd. (Shanghai, China) completed the whole-genome sequencing and assembly procedures.

2.3. Open Reading Frames (ORFs), Evolutionary Genealogy of Genes: Non-Supervised Orthologous Groups (eggNOG), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Carbohydrate-Active Enzymes Analysis

The software used for ORFs prediction was GeneMarkS (version v4.32, http://topaz.gatech.edu/GeneMark/, accessed on 10 December 2020) [33]. All of the ORFs obtained by whole gene sequencing were annotated through eggNOG (version v20171128, http://eggnogdb.embl.de/#/app/home/, accessed on 10 December 2020) [34] and the online version of the KEGG database (http://www.genome.jp/kegg/, accessed on 16 December 2020) [35]. CAZy software (version v6, http://www.cazy.org/, accessed on 16 December 2020) for carbohydrate-active enzymes prediction [36].

2.4. Guaiacol Colour Reaction

A single colony of AH7-7 was selected and inoculated in laccase qualitative medium (guaiacol medium) placed under aerobic conditions at 39 °C in the incubator. The colour change of the medium was observed at different times. When guaiacol reacts with laccase, a positive reaction appears, showing a reddish-brown halo. Guaiacol medium (per litre) contained 10.00 g NaCl, 10.00 g tryptone, 5.00 g yeast powder, 20.00 g agar and 0.04% guaiacol. Inoculating in medium that had no guaiacol was used as control.

2.5. Biodegradation of Kraft Lignin by Strain B. cereus AH7-7

A biodegradation experiment was conducted in a 250 mL flask with 100 mL sterile kraft lignin containing mineral salt medium, pH at 6.5. The concentration of kraft lignin in the degradation medium was 1000 mg/L. Bacterial culture liquid with 106 CFU/mL was inoculated into triplicate flasks; each flask was inoculated 1 mL. Uninoculated medium was used as a control. The flasks were incubated on a rotary shaker under aerobic conditions at 39 °C and 120 rpm for 6 days. Samples were extracted periodically once a day and the content of kraft lignin determined. After centrifugation at 8000× g for 10 min, the centrifuged supernatants of the inoculation and control groups were acidified to pH 1–2 with 12 M HCl, then the precipitate was collected by centrifugation at 12,000× g for 10 min. Each precipitate was washed with deionized water, dried at 65 °C for 48 h and weighed to obtain residual kraft lignin [37].

3. Results

3.1. Identification of Strain AH7-7

The colonies were large, waxy, round, translucent and greyish white, with rough surfaces and irregular edges (Figure 1A). The strain was Gram-positive according to Gram staining observed under the microscope (Figure 1B). The phylogenetic tree of the 16S rRNA gene and gyrB gene indicated that strain AH7-7 was the closest to B. cereus (Figure 2). Detail of blast analysis of the 16S rRNA gene and gyrB gene are shown in Table A1 and Table A2. The results of physiological and biochemical characteristics of strain AH7-7 are shown in Table A3 and Table A4. According to colony observation, Gram staining, physiological and biochemical data, 16S rRNA sequencing and gyrB gene sequencing, strain AH7-7 was identified as B. cereus AH7-7.
Figure 1

(A) Observation of colonies from strain AH7-7. (B) Gram staining of strain AH7-7 under the microscope (magnification 1000×, Olympus BX53).

Figure 2

Phylogenetic tree of strain AH7-7. (A) 16S rRNA; (B) gyrB.

Table A1

Blast results of the 16S rRNA gene.

Query Acc.verSubject Acc.ver% IdentityAlignment LengthMismatchesGap OpensQ. StartQ. EndS. StartS. EndEvalueBit Score
AH7-7NR_115526.199.861424023142429145202617
AH7-7NR_115714.199.861424023142449147202617
AH7-7NR_112630.199.861424023142428145102617
AH7-7NR_113266.199.861424023142429145202617
AH7-7NR_114582.199.861424023142439146202617
AH7-7NR_152692.199.7891424123142449147202612
AH7-7NR_157736.199.7891424123142449147202612
AH7-7NR_157735.199.7891424123142449147202612
AH7-7NR_157732.199.7891424123142449147202612
AH7-7NR_157730.199.7891424123142449147202612
AH7-7NR_157729.199.7891424123142449147202612
AH7-7NR_157734.199.7191424223142449147202606
AH7-7NR_170494.199.7191424223142480150302606
AH7-7NR_157733.199.6491424323142449147202601
AH7-7NR_157728.199.6491424323142449147202601
AH7-7NR_043403.199.5791424423142429145202595
AH7-7NR_121761.199.5791424423142446146902595
AH7-7NR_114581.199.5791424423142439146202595
AH7-7NR_112780.199.5081424523142429145202591
AH7-7NR_157731.199.5081424523142449147202590
AH7-7NR_113991.199.4381424623142429145202584
AH7-7NR_036880.199.3681424723142425144802579
AH7-7NR_024697.199.3681424723142443146602579
AH7-7NR_113996.199.3681424723142429145202579
Table A2

Blast results of the gyrB gene.

Query Acc.verSubject Acc.ver% IdentityAlignment LengthMismatchesGap OpensQ. StartQ. EndS. StartS. EndEvalueBit Score
AH7-7CP053289.110034300134342,75742,4152.08 × 10−177634
AH7-7CP040340.1100343001343621,370621,7122.08 × 10−177634
AH7-7KY283089.1100343001343914332.08 × 10−177634
AH7-7CP042270.11003430013431,208,5891,208,9312.08 × 10−177634
AH7-7CP044978.1100343001343791,108791,4502.08 × 10−177634
AH7-7CP042929.1100343001343495953012.08 × 10−177634
AH7-7CP042874.1100343001343495953012.08 × 10−177634
AH7-7CP034551.1100343001343467750192.08 × 10−177634
AH7-7CP026607.1100343001343478151232.08 × 10−177634
AH7-7MH427046.11003430013431074492.08 × 10−177634
AH7-7CP021436.1100343001343509654382.08 × 10−177634
AH7-7CP023727.11003430013435,200,2945,200,6362.08 × 10−177634
AH7-7CP023245.1100343001343467750192.08 × 10−177634
AH7-7CP022445.1100343001343467750192.08 × 10−177634
AH7-7CP017577.11003430013434,203,9944,204,3362.08 × 10−177634
AH7-7CP014486.1100343001343496753092.08 × 10−177634
AH7-7KT923660.11003430013431074492.08 × 10−177634
AH7-7CP012691.1100343001343467750192.08 × 10−177634
AH7-7CP011155.1100343001343508354252.08 × 10−177634
AH7-7CP011145.1100343001343467750192.08 × 10−177634
AH7-7KJ813006.1100343001343884302.08 × 10−177634
AH7-7AP014864.11003430013435,891,8875,891,5452.08 × 10−177634
AH7-7CP068984.1100343001343547058122.08 × 10−177634
AH7-7AP024504.2100343001343467750192.08 × 10−177634
Table A3

Physiological and biochemical characteristics of strain AH7-7 in the API20E identification system.

SubstrateFermentation/OxidationEnzyme ActivityResultsSubstrate UtilisationResults
Glucoseβ-GalactosidaseCitrate sodium+
MannitolArginine bishydrolase+Sodium thiosulfate (production of H2S)
InoseLysine decarboxylaseTryptophan (production of indole)
Sorbic alcoholOrnithine decarboxylasePyruvate (production of acetylmethyl methanol)w
RhamnoseUrease
SaccharoseTryptophan deaminase
MelibioseGelatinase+
Amygdalin
Arabinose

Note: + means positive reaction, − means negative reaction, w means weakly positive reaction.

Table A4

Physiological and biochemical characteristics of strain AH7-7 in the API50CH identification system.

SubstrateResultsSubstrateResultsSubstrateResults
ControlUrosside+Glucose+
GlycerolAesculin+Fructose+
ErythritolSalicin+Seminose
D-ArabinoseCellobioseSorbose
L-ArabinoseMaltose+Rhamnose
RibosewLactoseMelampyrin
D-XyloseMelibiose-Increositol
L-XyloseSaccharose+Mannitol
AdoniteTrehalose+Sorbic alcohol
GalactoseInulinα-Methyl-D-mannoside
D-ArabinolMelezitoseα-Methyl-d-glucoside
L-ArabinolRaffinoseN-Acetyl-glucosamine
AmygdalinStarch2-Keto-gluconate
GluconateGlycogen+5-keto-gluconate
D-TuranoseXylosic alcoholβ-Methyl-D-xyloside
D-TagatoseD-Lyxose

Note: + means positive reaction, − means negative reaction, w means weakly positive reaction.

3.2. Basic Genomic Characteristics of B. cereus AH7-7

Whole-genome sequencing results indicated that B. cereus AH7-7 consists of a chromosome and a circular plasmid of 5,328,700 bp and 461,035 bp, respectively; the GC content is 35.36% and 33.67%, respectively (Table 1). There are 5440 ORFs in the chromosome and 455 ORFs in the plasmid. The genome circle map of B. cereus AH7-7 is shown in Figure 3.
Table 1

Genomic characteristics of B. cereus AH7-7.

Genomic ContentsChromosomePlasmid
Sequence length (bp)5,328,700461,035
GC content (%)35.3633.67
Open reading frames 5440455
Number of tRNAs1070
Number of 5rRNAs140
Number of 6rRNAs140
Number of 23rRNAs140
Number of ncRNAs32112
Figure 3

Genomic architecture of B. cereus AH7-7. (A) Genome map and (B) plasmid map. Each circle, from centre to the outside, represents the following features. The first circle represents the scale mark, the second circle represents GC skew, the third circle represents GC content, the fourth and seventh circles represent every COG to which each coding sequence (CDS) belongs, and the fifth and sixth circles represent the locations of CDS, tRNA and rRNA in the genome.

3.3. Annotation Results of B. cereus AH7-7 in eggNOG, KEGG and Carbohydrate-Active Enzymes Database

In the eggNOG database, in the chromosome genome, one ORF was annotated as a laccase gene, one ORF as multicopper oxidase gene, five ORF as cytochrome P450 genes, eight ORFs as monooxygenase genes, 30 ORFs as dioxygenase genes, seven ORFs as catalase genes, 36 ORFs as oxidase genes, 28 ORFs as oxidoreductase genes, and 109 ORFs as dehydrogenase genes. In the plasmid genome, the results showed that one ORF was annotated as multicopper oxidase gene, one ORF as cytochrome P450 gene, one ORF as oxidoreductase gene, six ORFs as dehydrogenases genes (Table 2).
Table 2

Enzymes that related to lignin degrading in functional annotation of eggNOG.

Enzymes ChromosomeGene IDsPlasmidGene IDs
Laccase1chr_38330-
Multicopper oxidase1chr_18661plasmid1_118
Cytochrome P4505chr_2531, chr_25351plasmid1_13
Monooxygenase 8chr_1061, chr_17020-
Dioxygenase 30chr_243, chr_2440-
Catalase7chr_782, chr_8230-
Oxidase36chr_185, chr_3970-
Oxidoreductase28chr_280, chr_3841plasmid1_377
Dehydrogenase109chr_183, chr_3256plasmid1_193, plasmid1_241

Note: Only two IDs are listed in the table when more than two genes are found. “-” means none. Hit names of Gene IDs in NR are shown in Supplementary Table S1. Detail sequences information of Gene IDs are shown in Supplementary Material.

In the carbohydrate-active enzymes database, a total 45 ORFs were annotated as glycosyl transferases genes, one ORF as a polysaccharide lyase gene, 39 ORFs as carbohydrate esterase genes, 12 ORFs as auxiliary activities genes, 12 ORFs as carbohydrate-binding modules genes and 40 ORFs as glycoside hydrolases genes (Figure 4). As shown in Table 3, two ORFs were annotated as vanillin alcohol oxidase genes, two ORFs as 1,4-benzoquinone reductase genes, three ORFs as glucooligosaccharide oxidase, chitooligosaccharide oxidase or cellooligosaccharide dehydrogenase genes, three ORFs as monooxygenase genes, and two ORFs as laccase or dihydrogeodin oxidase.
Figure 4

Annotation of B. cereus AH7-7 carbohydrate-active enzymes.

Table 3

Category and number of annotated open reading frames (ORFs) of auxiliary activities family in B. cereus AH7-7.

Auxiliary ActivitiesNumber of ORFs AnnotatedGenes IDsEnzymes
AA1_32chr_1866, plasmid1_118laccase (EC 1.10.3.2); dihydrogeodin oxidase (EC 1.10.3)
AA42chr_1325, chr_3451vanillin alcohol oxidase (EC 1.1.3.38)
AA62chr_1403, chr_51171,4-benzoquinone reductase (EC. 1.6.5.6)
AA73chr_185, chr_397, chr_649glucooligosaccharide oxidase (EC 1.1.3); chitooligosaccharide oxidase (EC 1.1.3); cellooligosaccharide dehydrogenase (EC 1.1.99)
AA103chr_2698, chr_2731, plasmid1_37monooxygenase (EC 1.14.99.54; EC 1.14.99.56; EC 1.14.99.53; EC 1.14.99)

Note: Hit names of Gene IDs in NR are shown in Supplementary Table S1. Detail sequences information of Gene IDs are shown in Supplementary Material.

In the KEGG database, 15 ORFs of B. cereus AH7-7 were linked to phenylalanine metabolism, four to chlorocyclohexane and chlorobenzene degradation, 11 to benzoate degradation, seven to the metabolism of xenobiotics by cytochrome P450, six to styrene degradation, eight to naphthalene degradation, one to nitrotoluene degradation, seven to aminobenzoate degradation, four to xylene degradation and one to ethylbenzene degradation (Figure 5).
Figure 5

The number of genes of B. cereus AH7-7 enriched in KEGG pathways related to aromatic degradation.

3.4. Laccase Secretion of B. cereus AH7-7

The guaiacol medium determined the laccase secretion of B. cereus AH7-7. The strain began to show a slight reddish-brown halo from the 4th day after culture, deepened gradually on the 10th day and showed obvious colour development on the 15th day (Figure 6).
Figure 6

Colour reaction of guaiacol and kraft-lignin reduction. (A) guaiacol: 1 d. (B) guaiacol: 4 d. (C) guaiacol: 10 d. (D) guaiacol: 15 d. (E) control: 1 d. (F) control: 4 d. (G) control: 10 d. (H) control: 15 d.

3.5. Kraft-Lignin Degradation of B. cereus AH7-7

The reduction in kraft-lignin content by the B. cereus AH7-7 degraded sample is shown in Figure 7. There was a minor reduction of kraft lignin content in the medium during the first two days of culture. A significant reduction in kraft lignin content (25.9%) was observed after 6 days of incubation.
Figure 7

Kraft-lignin reduction.

4. Discussion

There are strong interactions between the rumen microbiome and buffalo host. Buffalos live in tropical areas with high temperatures and lack of high-quality feed. Buffalos are mainly fed low-quality roughage, such as rice straw and field crops [38]. Because of the intake of roughage with high fibre, some bacteria with lignin degradation ability have been naturally selected over time, so that buffalos have developed a unique rumen microflora in the long-term domestication process. In a previous study, buffalo lignin-degrading capacity was first demonstrated, and the buffalo was found to be the first mammal with the ability to degrade lignin [22]. Strains with the potential of degrading lignin were isolated from buffalo rumen [25]; however, Wang et al. did not carry out further studies. Our results verified previous results in that the ability of buffalo to degrade lignin was found to be intimately related to rumen microorganisms. B. cereus AH7-7 from the buffalo rumen made a significant reduction of kraft lignin content (25.9%) after 6 days of incubation. Therefore, it is important to understand how this animal degrades lignin via its rumen microbial system. Laccase, first discovered in 1883 from Rhus verniciflua, is a typical lignin-degrading enzymes. A laccase molecule contains four copper ions to oxidise a series of aromatics [39]. Since 1993, when laccase was identified in Azospirillum lipoferum [40], many bacteria have been classified as laccase-secreting bacteria due to the development of technology [41,42,43]. This study annotated all ORFs of the B. cereus AH7-7 in the eggNOG database. We showed that an ORF was annotated as a laccase gene, and two ORFs were annotated as multicopper oxidase genes. The ORFs identified as multicopper oxidase genes were closely related to laccase activity in the carbohydrate-active enzymes database. Thus, B. cereus AH7-7 may have more than one gene that encodes laccase. Consistent with the above results, the colour reaction of guaiacol showed that B. cereus AH7-7 has the capacity for laccase secretion, and the amount increased with the increasing of time. Xu proposed that bacterial laccase had significant advantages over fungi with respect to high temperature, salt and pH resistance [44]. Laccase obtained from Bacillus halodurans had better thermal stability and more robust alkaline tolerance [45]. These results show that B. cereus AH7-7 can degrade lignin by secreting laccase, and more effectively than fungi in lignin degradation. Monooxygenase and dioxygenase have been also been shown to play an important role in lignin degradation. Previous research confirmed that cytochrome P450 belongs to a monooxygenase that involves lignin metabolism [12]. In the eggNOG database, five ORFs of B. cereus AH7-7 were annotated as the cytochrome P450 gene, coding the ligninolytic enzyme cytochrome P450 and may be involved in the lignin degradation process. However, lignin degradation is a complex process involving dehydrogenation and oxidation-reduction steps. These are probably catalysed by enzymes that were not found. In the eggNOG and the carbohydrate-active enzymes databases, large categories such as oxidase, oxidoreductase and dehydrogenase have been summarised, but we still do not know to which specific enzymes they relate. According to the KEGG result, seven genes were annotated in the pathway of aminobenzoate degradation. A study indicated that the aminobenzoate degradation pathway includes two branches of lignin metabolism, named the multiple 3-O-methyl gallate catabolic pathway and the protocatechuate 4,5-cleavage pathway [46]. Vanillin is a vital intermediate in the two lignin biodegradation pathways. In this study, when the ORFs were annotated in the carbohydrate-active enzymes database, B. cereus AH7-7 was found to have genes that could encode vanillin alcohol oxidase. The vanillin alcohol oxidase may be the key factor involved in the lignin degradation by B. cereus AH7-7 via the above two pathways. Masai et al. have shown that in multiple 3-O-methyl gallate catabolic pathways, syringate could be catalysed by tetrahydrofolate-dependent demethylase to produce methyl gallate, which can be converted into 4-oxalomesaconate through a series of reactions [46]. Moreover, in the protocatechuate 4,5-cleavage pathway, vanillin was first catalysed to protocatechuate, and finally to oxaloacetic acid and pyruvic acid. Thus, two established lignin metabolic pathways may also be involved in the main process of lignin metabolism by B. cereus AH7-7.

5. Conclusions

The present study indicated that B. cereus AH7-7 isolated from the buffalo rumen content has the capacity for lignin degradation. B. cereus AH7-7 has laccase, cytochrome P450 and vanillin alcohol oxidase genes that can produce enzymes involved in lignin degradation. Furthermore, laccase secretion and capacity of kraft-lignin degradation by B. cereus AH7-7 increased with time.
  37 in total

1.  Laccases are widespread in bacteria.

Authors:  G Alexandre; I B Zhulin
Journal:  Trends Biotechnol       Date:  2000-02       Impact factor: 19.536

Review 2.  Glutathione transferases in bacteria.

Authors:  Nerino Allocati; Luca Federici; Michele Masulli; Carmine Di Ilio
Journal:  FEBS J       Date:  2009-01       Impact factor: 5.542

Review 3.  Lignin depolymerization and utilization by bacteria.

Authors:  Rong Xu; Kai Zhang; Pu Liu; Huawen Han; Shuai Zhao; Apurva Kakade; Aman Khan; Daolin Du; Xiangkai Li
Journal:  Bioresour Technol       Date:  2018-08-30       Impact factor: 9.642

Review 4.  Exploring bacterial lignin degradation.

Authors:  Margaret E Brown; Michelle C Y Chang
Journal:  Curr Opin Chem Biol       Date:  2013-12-25       Impact factor: 8.822

5.  Identification of Manganese Superoxide Dismutase from Sphingobacterium sp. T2 as a Novel Bacterial Enzyme for Lignin Oxidation.

Authors:  Goran M M Rashid; Charles R Taylor; Yangqingxue Liu; Xiaoyang Zhang; Dean Rea; Vilmos Fülöp; Timothy D H Bugg
Journal:  ACS Chem Biol       Date:  2015-08-03       Impact factor: 5.100

Review 6.  Laccases of prokaryotic origin: enzymes at the interface of protein science and protein technology.

Authors:  Lígia O Martins; Paulo Durão; Vânia Brissos; Peter F Lindley
Journal:  Cell Mol Life Sci       Date:  2015-01-09       Impact factor: 9.261

7.  Roles of the enantioselective glutathione S-transferases in cleavage of beta-aryl ether.

Authors:  Eiji Masai; Atsushi Ichimura; Yusuke Sato; Keisuke Miyauchi; Yoshihiro Katayama; Masao Fukuda
Journal:  J Bacteriol       Date:  2003-03       Impact factor: 3.490

8.  AdapterRemoval v2: rapid adapter trimming, identification, and read merging.

Authors:  Mikkel Schubert; Stinus Lindgreen; Ludovic Orlando
Journal:  BMC Res Notes       Date:  2016-02-12

9.  Molecular breeding of lignin-degrading brown-rot fungus Gloeophyllum trabeum by homologous expression of laccase gene.

Authors:  Misa Arimoto; Kenji Yamagishi; Jianqiao Wang; Kanade Tanaka; Takanori Miyoshi; Ichiro Kamei; Ryuichiro Kondo; Toshio Mori; Hirokazu Kawagishi; Hirofumi Hirai
Journal:  AMB Express       Date:  2015-12-22       Impact factor: 3.298

10.  KAAS: an automatic genome annotation and pathway reconstruction server.

Authors:  Yuki Moriya; Masumi Itoh; Shujiro Okuda; Akiyasu C Yoshizawa; Minoru Kanehisa
Journal:  Nucleic Acids Res       Date:  2007-05-25       Impact factor: 16.971

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