Abstract
Background
Rice not only produces grains for human beings, but also provides large amounts of lignocellulose residues, which recently highlighted as feedstock for biofuel production. Genetic modification of plant cell walls can potentially enhance biomass saccharification; however, it remains a challenge to maintain a normal growth with enhanced lodging resistance in rice.
Results
In this study, rice (Oryza sativa) mutant fc17, which harbors the substitution (F426S) at the plant-conserved region (P-CR) of cellulose synthase 4 (CESA4) protein, exhibited slightly affected plant growth and 17% higher lodging resistance compared to the wild-type. More importantly, the mutant showed a 1.68-fold enhancement in biomass saccharification efficiency. Cell wall composition analysis showed a reduction in secondary wall thickness and cellulose content, and compensatory increase in hemicelluloses and lignin content. Both X-ray diffraction and calcofluor staining demonstrated a significant reduction in cellulose crystallinity, which should be a key factor for its high saccharification. Proteomic profiling of wild-type and fc17 plants further indicated a possible mechanism by which mutation induces cellulose deposition and cell wall remodeling.
Conclusion
These results suggest that CESA4 P-CR site mutation affects cell wall features especially cellulose structure and thereby causes enhancement in biomass digestion and lodging resistance. Therefore, CESA4 P-CR region is promising target for cell wall modification to facilitate the breeding of bioenergy rice.
Electronic supplementary material
The online version of this article (10.1186/s13068-018-1298-2) contains supplementary material, which is available to authorized users.
Keywords: Biomass saccharification, Cell wall, Cellulose CrI, CESA, Lodging resistance, Rice
Background
Plant cell walls are essential for plant growth and development and provide renewable biomass feedstock for biofuels production [1]. The recalcitrance of plant cell walls leads to a costly biomass process. To reduce recalcitrance, genetic modifications of wall polymers have been applied to enhance biomass saccharification [2–4]. However, alterations in wall polymers are mostly associated with defects in plant growth and development; it becomes critical to identify a key gene for cell wall modification that could not substantially affect plant growth but leads to an enhancement in biomass saccharification [5].
Plants typically contain two different types of cell walls: namely, primary cell walls (PCWs) and secondary cell walls (SCWs). During growth, plant cells are surrounded by a strong yet adaptable primary cell wall, which is mainly composed of cellulose, hemicelluloses, pectins, and proteins [6]. Once growth has ceased, an additional secondary wall may be deposited, which is mainly composed of cellulose, hemicelluloses, and lignin. Cellulose, consisting of linear chains of β-1,4-linked glucan, is the principal substrate for bioethanol production. Through intra- and inter-chain hydrogen bonding, parallel linear glucan chains are crystalized to form cellulose microfibrils that provide plants with excellent toughness for normal plant growth [1]. Crystallinity index (CrI) is a parameter commonly used to quantify cellulose microfibrils crystallinity [7–9], which is one of the most important characteristics of cellulose negatively affecting biomass enzymatic hydrolysis [10–13]. Hemicelluloses are a heterogeneous class of polysaccharides with various sugar units, and arabinoxylans comprise the majority of hemicelluloses in the mature tissues of rice [10, 14]. Lignin is a complex phenolic polymer that provide plants with great stiffness for resistance of biotic or abiotic stress [15, 16].
Cellulose biosynthesis is a tightly regulated process that is performed by plasma membrane-spanning cellulose synthase (CESA) complexes (CSCs) [1]. The CESA protein in different plant species shares common domains and motifs, such as the zinc fingers, the central cytoplasmic domain with D,D,D,QXXRW motif, and eight transmembrane domains [17, 18]. The central cytoplasmic domain contains the plant-conserved region (P-CR) and class-specific region (CSR), which may play a role in CESA protein association and assembly [19, 20]. Genetic and biochemical studies suggest that at least three distinct CESA isoforms are required to form functional CSCs [21]. In Arabidopsis thaliana, CesA1, CesA3, and CesA6-like (i.e., CesA2, 5, 6, and 9) CesAs synthesize primary wall cellulose, and CesA4, CesA7, and CesA8 comprise the CSCs necessary for secondary wall cellulose production [21–23]. Bioinformatics and mutational analysis have shown that OsCesA1, 3, 8 and OsCesA4, 7, 9 are involved in the cellulose synthesis of the primary and secondary cell walls in rice, respectively [24–26].
Up to date, three OsCesA4 mutants have been identified in rice, and all of them show brittleness due to reductions of cellulose content [26–28]. Apart from the brittleness phenotype, Tos17 insertional mutant of CESA4 displays the semi-dwarfism and withering of leaf apex [26]. Bc7 (t) has a two-base deletion in exon 10 and a five-base deletion in intron 10 and shows indistinguishable phenotypes from the wild-type plants [28]. Different from BC7, BC11 mutation occurs in the fifth transmembrane domain of CESA4 and causes severe dwarfism and low pollen fertility [27]. These studies demonstrate that mutations in different sites of CESA4 lead to diverse effects on plant growth, indicating a complex role of CESA4 in plant morphological development.
Rice is a major global food crop that produces enormous biomass residues for biofuels and chemical products [29]. In this study, we report on a novel CESA4 conserved site mutation that leads to increased lignocellulose enzymatic hydrolysis and lodging resistance by reducing cellulose CrI and remodeling cell wall.
Results
The fc17 mutant has a brittleness phenotype caused by a CESA4 conserved site mutation
A fragile culm 17 (fc17) mutant was isolated from a natural population of the Japonica cultivar ShenNong265 (Fig. 1a). The extension forces of culms and leaves in fc17 were respectively reduced to ~ 20% and ~ 30% of those in the wild-type (WT) (Fig. 1b). Despite brittleness and reduced extension force, fc17 did not show significant reduction in breaking force of basal stem internode, an important physiological properties associated with plant lodging resistance (Fig. 1c).
Using 950 F2 mutant plants generated from a cross between fc17 and an indica cultivar MH63, we identified via map-based cloning a 91-kb region on chromosome 1 that contains the candidate gene. The region includes four putative candidate genes. The first putative is ORF1 (TIGR ID: LOC_Os01g54620), which encodes cellulose synthase catalytic subunit 4 (OsCESA4), involving in secondary wall cellulose biosynthesis (Fig. 1d). Sequencing analysis revealed a single-base substitution at the eighth exon, changing TTT to TCT, and resulting in a change in the 426th amino acid from Phe to Ser (Fig. 1d). This substitution occurred at the P-CR region (Fig. 1e), which is conserved in all CESA family proteins of rice and Arabidopsis (Fig. 1f). Quantitative PCR analysis of CESA4 in multiple tissues and organs revealed that CESA4 primarily expressed in the secondary wall-rich tissues (stem, hull and spikelet) (Fig. 1g). The fc17 phenotypes were further complemented by transgenic expression of WT CESA4 in the fc17 mutant background (fc17 + CESA4), confirming that the missense mutation of CESA4 was responsible for the mutant phenotypes (Fig. 2).
The fc17 mutant exhibits a normal plant growth with higher lodging resistance
Apart from brittleness, the fc17 mutant exhibited a normal plant growth, similar to that in the WT (Fig. 2a). Despite the relatively short height (Fig. 2b), 2-year field experiments showed that the fc17 mutant had significantly improved plant lodging resistance (lodging index was reduced by 17%) (Fig. 2c; Additional file 1). In addition, no significant differences in other important agronomic traits of the WT and fc17, including dry biomass, tiller number, dry spike, and 1000-grain weight, were observed (Fig. 2d–g).
The fc17 mutant displays enhanced biomass enzymatic saccharification
Using mature stem materials, we measured biomass enzymatic digestibility (saccharification) in the fc17 mutant by calculating the hexose yields released from enzymatic hydrolysis of pretreated biomass. The fc17 mutant exhibited significantly higher hexoses yields by up to 1.45-fold than that of the WT, with pretreatments using three concentrations of alkali (0.5%, 1%, and 4% NaOH) and acid (0.5%, 1%, and 2% H2SO4) (Fig. 3a).
To evaluate the effect of enzyme dosage on the saccharification of fc17 and WT plants, enzymatic hydrolysis was performed with different cellulase loadings of 3, 6, and 12 filter paper unit (FPU) per gram of cellulose. A more efficient conversion of lignocellulosic biomass to hexose was observed in the fc17 mutants, which was up to 1.68-fold higher than that of WT plants (Fig. 3b).
To confirm the enhanced biomass enzymatic digestibility of the fc17 mutant, we evaluated their stem cell tissues in situ and biomass residues in vitro under SEM (Fig. 4). Without any pretreatment and enzymatic digestion, no visible in situ differences between stems of the mutant and WT were observed (Fig. 4a). However, the mutant exhibited more severe destruction and cell loss than that of the WT after 1% NaOH or 1% H2SO4 pretreatment and sequential enzymatic hydrolysis (Fig. 4a). In addition, the biomass residues of the mutant showed rougher surfaces in vitro compared to the WT under 1% NaOH or 1% H2SO4 pretreatments and sequential enzymatic hydrolysis (Fig. 4b), which agrees with the findings in other grass plants [11, 30]. Both in situ and in vitro observations thus confirm that the mutant has high biomass enzymatic digestibility.
The fc17 mutant shows altered cell wall structure and composition
To understand the improved lodging resistance and enhanced biomass digestibility in the fc17 mutant, we examined its cell wall structure and composition. Scanning electron microscopy (SEM) showed that the fc17 had no alterations in the culm cross section structure and cell size, but exhibited reduced wall thickness (Fig. 5a). Transmission electron microscopy (TEM) further revealed that the fc17 plants displayed thinner and uneven secondary cell walls compared to the WT plants (Fig. 5b).
To investigate the underlying cause of the altered cell wall structure in fc17 plants, we performed chemical measurement of three wall polymers in secondary cell wall-rich stems of fc17 and WT plants. The fc17 mutant showed a 19% reduction in cellulose levels and a 16% increase in hemicelluloses level and a 14% increase lignin level compared to that in the WT (Fig. 5c). Furthermore, GC–MS analyses revealed that the increase of hemicelluloses content in fc17 was mainly contributed by the increase in hemicellulosic arabinose and xylose levels (Fig. 5d). In addition, the fc17 exhibited similar content of galacturonic acid (GalA) and glucuronic acid (GlcA) as compared with WT (Fig. 5e).
To confirm the wall polymer content detected by chemical approach, we compared equivalent transverse sections of fc17 and WT culm internodes labeled with antibodies against xylan (LM10, LM11, and CCRC-M147), homogalacturonan (HG; JIM5 and JIM7) and rhamnogalacturonan-I (RG-I; CCRC-M35). All antibodies directed to xylan showed a significantly increased occurrence of their epitope in fc17, while HG and RG-1 did not show significant difference between the fc17 and WT plants (Fig. 5f).
The fc17 mutant produces structurally aberrant cellulose microfibrils
Mutations involving CESA proteins not only affect cellulose level but also influence cellulose structure features [31, 32]. To explain the increased biomass saccharification in fc17, we measured the cellulose crystallinity of both the WT and mutant using the mature stem. X-ray diffraction analysis estimated a 20.8% reduction in cellulose crystallinity in the fc17 mutant compared to the WT (Fig. 6a). As cellulose CrI is positively correlated with its degree of polymerization (DP) [12, 24], we further examined the cellulose DP of mature stem in both the WT and mutant plants. A 17.7% reduction in the cellulose DP was observed in the fc17 mutant compared to the WT, suggesting that this may have contributed to the observed lower CrI (Fig. 6b).
Cellulose crystallization can be prevented using dyes that interact with cellulose chains such as Calcofluor White [33]. To confirm the observed decrease in cellulose CrI in fc17 in vitro, we treated the mutant and WT seedlings after germination with three concentrations of calcofluor and then measured the lengths of their root. Calcofluor dramatically repressed root growth in the WT using the intermediate (0.1%) concentration and completely prevented root elongation using a high (0.2%) concentration (Fig. 6c). However, the fc17 mutant was highly resistant to calcofluor even at the highest concentration (0.2%) (Fig. 6c). The observed greater resistance of fc17 to high-concentration calcofluor demonstrates that its root growth was insensitive to calcofluor (Fig. 6c). The differences in the response of fc17 and WT to calcofluor support that fc17 possesses an altered cellulose microfibril structure.
Comparative proteomic analysis of WT and fc17 plants
To elucidate the molecular mechanism(s) by which FC17 regulates the cell wall formation and maintains plant growth, we used an iTRAQ-based (isobaric tags for relative and absolute quantification) proteomics analysis of rice stems at heading stage to identify changes in protein expression between the WT and fc17 plants. After iTRAQ and liquid chromatography–tandem mass spectrometry (LC–MS/MS) analysis, a total of 237,056 spectra were identified, of which 57,121 spectra could be matched to peptides in the database and 23,687 were unique peptides (Fig. 7a). A total of 6053 proteins were identified using the Oryza sativa UniProt database. We detected 695 differentially expressed proteins (DEPs) with expression changes > 1.5-fold between the WT and fc17. Of these proteins, 348 were upregulated and 347 were downregulated (Fig. 7b). Pearson correlation analysis showed good correlation among different replicates of the same sample, whereas significant differences were observed between the WT and fc17 plants (Fig. 7c).
Based on the considerable effects of the fc17 mutation on cellulose content and CrI, we quantified the expression levels of proteins involved in cellulose production processes by iTRAQ proteasome profile. The protein levels of CESA4, CESA7, and CESA9 forming the secondary wall CSC were respectively reduced by 18%, 15%, and 11% in fc17 (Table 1), which was confirmed by western blot analysis of CESA4, CESA7, and CESA9 using specific antibody (Fig. 7d). In contrast, the other CESA proteins (CESA1/2/3/6/8) in fc17 plants displayed similar expression level compared to that in the WT (Table 1). We also examined the expression levels of BC (Brittle Culm) proteins which contribute to both mechanical strength and cellulose synthesis in rice (Table 1). Most of the BC proteins quantified by iTRAQ assay did not exhibited significant alterations between fc17 and WT plants, with the exception of BC12 (KIF4 family protein) which was reduced by 12% in the fc17 mutant (Table 1). Therefore, the fc17 mutation probably regulates the cellulose production through impairing CESA subunits numbers or association of the secondary cell wall CSCs.
Table 1.
Name | Locus | WT | fc17 | fc17/WT ratio | p | Change |
---|---|---|---|---|---|---|
CESA4 | LOC_Os01g54620 | 122.87 | 100.5 | 0.82 | 0.003 | Down |
CESA7 | LOC_Os10g32980 | 135.27 | 115.2 | 0.85 | 0.001 | Down |
CESA9 | LOC_Os09g25490 | 111.27 | 99.57 | 0.89 | 0.016 | Down |
CESA1 | LOC_Os05g08370 | 2783.43 | 2965.9 | 1.07 | 0.622 | |
CESA2 | LOC_Os03g59340 | 420.27 | 410.33 | 0.98 | 0.084 | |
CESA3 | LOC_Os07g24190 | 1978.77 | 1949.47 | 0.99 | 0.888 | |
CESA6 | LOC_Os07g14850 | 386.27 | 409.43 | 1.06 | 0.126 | |
CESA8 | LOC_Os07g10770 | 1506.37 | 1607.2 | 1.07 | 0.626 | |
BC3 | LOC_Os02g50550 | 14299.03 | 13301.97 | 0.93 | 0.067 | |
BC10 | LOC_Os05g07790 | 1273.9 | 1179.7 | 0.92 | 0.052 | |
BC12 | LOC_Os09g02650 | 71.5 | 63.4 | 0.88 | 0.001 | Down |
BC15 | LOC_Os09g32080 | 1211.83 | 1244.4 | 1.03 | 0.263 |
We further employed Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis to reveal the pathway affected by the fc17 mutation (Table 2). Although the detected DEPs may be involved in 83 pathways, the categories of carbon fixation and metabolism (ko00710, ko01200), starch and sucrose metabolism (ko00500), phenylpropanoid biosynthesis (ko00940), and phenylalanine metabolism (ko00360) were apparently affected (Table 2). Most of lignin biosynthesis-associated proteins that are involved in the phenylpropanoid biosynthesis and phenylalanine metabolism pathways were upregulated in fc17 (Additional files 2, 3). This result coincides with the higher lignin content in fc17 relative to the WT. All of 54 DEPs that exist in both carbon fixation and carbon metabolism pathways were upregulated in fc17 (Additional files 4, 5). In the starch and sucrose metabolism pathway, 12 of the 16 DEPs annotated as glycosyl hydrolase, sucrose synthase and glucanotransferase were upregulated in fc17 (Additional file 6). These proteins produce more substrate for biosynthesis of hemicelluloses and other polysaccharides and might participate in hemicelluloses modification. In addition, two proteins IRX10 (LOC_Os01g70200) and IRX14 (LOC_Os06g47340) which have been reported to be involved in xyan biosynthesis were upregulated in fc17 (Additional file 7) [34, 35]. These results coincides with the higher hemicelluloses content in fc17 relative to the WT. These findings suggest that the fc17 mutation probably triggers feedback responses to the cell wall defects, which in turn regulate the cell wall for the maintenance of plant growth and development.
Table 2.
Pathway | DEPs with pathway annotation | All proteins with annotation pathway | p | q | Pathway identifier |
---|---|---|---|---|---|
Photosynthesis | 27 (9.57%) | 44 (1.98%) | 1.89E−14 | 1.55E−12 | ko00195 |
Phenylpropanoid biosynthesis | 29 (10.28%) | 82 (3.7%) | 6.37E−08 | 2.61E−06 | ko00940 |
Phenylalanine metabolism | 12 (4.26%) | 24 (1.08%) | 9.29E−06 | 1.90E−04 | ko00360 |
Carbon fixation | 19 (6.74%) | 62 (2.79%) | 1.32E−04 | 2.16E−03 | ko00710 |
Starch and sucrose metabolism | 16 (5.67%) | 73 (3.29%) | 1.79E−02 | 1.20E−01 | ko00500 |
Nitrogen metabolism | 5 (1.77%) | 14 (0.63%) | 2.42E−02 | 1.42E−01 | ko00910 |
Carbon metabolism | 35 (12.41%) | 205 (9.24%) | 3.49E−02 | 1.80E−01 | ko01200 |
Mismatch repair | 5 (1.77%) | 21 (0.95%) | 1.18E−01 | 3.71E−01 | ko03430 |
DNA replication | 7 (2.48%) | 34 (1.53%) | 1.31E−01 | 3.83E−01 | ko03030 |
Discussion
In this study, we identified a novel CESA4 missense allele, fc17. Despite the defect in extension strength, fc17 plants exhibited a relatively normally morphological phenotype compared to the WT, in contrast to previously reported CESA4 alleles that showed significantly impaired plant growth [26, 27]. Although the fc17 mutation caused a reduction in CESA4 protein level, the cellulose content in mature stems of the fc17 plants only decreased by 19%, indicating that the mutant might produce enough cellulose to maintain the normal plant growth. Except for CESA, the majority of proteins involved in carbon synthesis and metabolism are upregulated in the fc17 mutant, which might provide sufficient UDPG substrate for the production of hemicelluloses and other polysaccharides. Indeed, the fc17 mutant exhibited increased hemicelluloses and lignin that partly complement the detrimental effect of reduced cellulose on cell wall structure. These data indicate that cell wall formation is relatively normal in the fc17 mutant, which is further supported by the results of SEM observation. Taken together, out results indicate that the CESA4 P-CR site mutation sustains normal plant growth by producing sufficient cellulose content and by triggering the feedback response to support cell wall formation.
Notably, the fc17 mutant has exhibited much higher plant lodging resistance than did the wild-type. Plant lodging resistance is a major and integrated agronomic trait, which is predominantly influenced by plant height and stem stiffness (breaking force) [36, 37]. Hence, the relatively short height of fc17 might causes its enhanced lodging resistance. The fc17 mutant displays reduced cellulose content, which provides plants with toughness, but its lignin content is significantly increased, which provides plants with excellent stiffness for resistance of biotic and abiotic stress [16, 38]. The increase of lignin content in fc17, therefore, is an important contributor for its high lodging resistance, which is consistent with previous studies [38]. Importantly, cellulose crystallinity has also been recently demonstrated as the main factor negatively determining plant lodging resistance in rice [10, 24]. Therefore, the fc17 mutant showing much higher lodging resistance should be due to shorter height, increased lignin content and lower cellulose CrI.
Cellulose CrI has been considered to be a negative factor for lignocellulose digestibility because the reduced cellulose CrI increases the accessibility of the enzyme to the lignocellulose substrate [30]. Similarly, it is apparent from the data presented here that the fc17 mutant that exhibited a reduction in CrI displayed significantly improved (30–70% increase) lignocellulose enzymatic digestibility after various chemical pretreatments compared to the WT. These results have been confirmed by observations of increased stem digestion of the fc17 mutant in situ using SEM. Furthermore, fc17 requires approximately three- to fourfold fewer enzymes or two-fold lower concentration of NaOH and H2SO4 to release an equal or greater amount of fermentable sugar than that in the WT plants. These data demonstrate that the fc17 mutant will be more environmentally friendly and can be an economical option as biofuel feedstock compared with the WT.
The observed reduction in lignocellulose CrI in the fc17 mutant may be interpreted in three ways. First, as the fc17 mutation occurs in the P-CR region, it may affect the stability of the plasma membrane-localized CSC particles, thereby causing shorter cellulose chain lengths [19, 20, 24]. Indeed, fc17 has exhibited a reduced cellulose DP that is negatively correlated with cellulose CrI. Second, the CESA4 subunit mutation may result in intermittent synthesis and inconsistent cellulose chain lengths, thereby disrupting the ability of neighboring cellulose chains to form crystalline structures. Third, it has been reported that hemicelluloses content negative affects cellulose CrI, and thus the increase in hemicelluloses level in the fc17 should be an additional contributor to its lower lignocellulose CrI.
Genetic modification of plant cell walls has been considered to be a promising solution for reducing biomass recalcitrance and maintaining normal plant growth [5]. Since the transgenic approach has been used successfully, utilization of the beneficial target gene in various varieties is a more likely way to be taken. The fc17 is a promising mutation due to its positive effects on biomass digestibility without any major adverse effects on plant growth. Based on these results, we could further introduce the mutated CESA4 into energy crops such as poplar and switchgrass to improve biomass conversion efficiency. Hence, our findings on the CESA4 P-CR region mutation may offer us a potential way for breeding energy crops.
Conclusions
A new CESA4 allele, fc17, shows the substitution (F426S) mutation at the plant-conserved region of CESA4 protein. Despite reduction in cellulose content and cell wall thickness, fc17 plants displayed relatively normal plant growth and higher lodging resistance compared to the wild-type. Multiple techniques further demonstrated that this mutation significantly reduces cellulose crystallinity, thereby enhancing biomass saccharification. Proteomic profiling based on iTRAQ assay suggested that this mutation triggers feedback response by forming a relatively integrated cell wall to maintain normal plant growth. These results suggest that the plant-conserved region of CESA4 is a promising target for genetic modification for breeding energy crop and cost-effective biomass processing.
Methods
Plant materials
The fc17 was isolated from a natural population of the Japonica cultivar ShenNong265. The homozygous fc17 mutant and wild-type (WT) plants were grown in experimental fields at Shenyang Agricultural University (Shenyang, China). The mature stem tissues were harvested and dried at 55 °C in an oven to a constant weight, and ground through 40-mesh screen (0.425 mm × 0.425 mm) and stored in a dry container until use.
Map-based cloning of fc17
A 5000 F2 mapping population was generated from the cross between fc17 and MH63, an indica cultivar in China. All plants were cultivated in the experimental fields at the Shenyang Agricultural University during the natural growing season. The segregation ratio in F2 population showed that the normal plants and Brittle Culm plants segregated as 3:1. The fc17 gene was localized to 91-kb genomic region that contains the CESA4 gene. The CESA4 gene of the mutant and its corresponding WT were PCR amplified with KOD-PLUS (TOYOBO) and sequenced with a 3730 sequencer (ABI). For complementation analysis, a 8.53-kb genomic DNA fragment containing the entire CESA4 coding region, a 1.8-kb upstream sequence, and a 1.5-kb downstream sequence were cloned into the binary vector pCAMBIA 1305 to generate the transformation plasmid. The binary plasmids were introduced into Agrobacterium tumefaciens strain EHA105 and transformed into the fc17 mutant plants.
Measurements of plant mechanical properties and agronomic traits
The extension force of rice culms and leaves were determined using a digital force/length tester (RH-K300, Guangzhou, China). The breaking force and plant lodging index were measured at 30 days after heading as previously described [10]. Rice dry spike, dry biomass, and 1000-grain weight were respectively weighed after the samples were dried in the oven at 60 °C. All measurements were conducted using nine independent biological duplicates.
Plant cell wall fractionation and determination
The plant cell wall fractionation procedure and total cellulose and hemicelluloses assay were conducted as previously reported [11]. The soluble sugar, lipids, and starch of the samples were successively removed from the dry biomass power samples by potassium phosphate buffer, chloroform–methanol (1:1, v/v), and DMSO-water (9:1, v/v). The remaining pellets were suspended in 4 M KOH containing 1.0 mg/mL sodium borohydride for 1 h at 25 °C, and the combined supernatants were regarded as hemicelluloses. The remaining pellets were regarded as total cellulose. All experiments were carried out in biological triplicate.
Total lignin content including acid-insoluble (AIL) and acid-soluble lignin (ASL) were detected by a two-step acid hydrolysis method as described previously [15]. Hemicelluloses monosaccharide and uronic acids (GalA and GlcA) were determined by GC–MS. The sample preparations and GC–MS analysis were conducted as previously described [11, 39].
Immunolabeling and fluorescence imaging
The stem transverse section samples were incubated in PBS (pH 7.4) containing 5% (w/v) milk protein (MP/PBS) and a diluted antibody solution (1:50) for 1.5 h. Samples were then washed with PBS (pH 7.4) at least 3 times and incubated with a 300-fold diluted secondary antibody (GB21302, Wuhan servicebio technology Ltd., Wuhan, China) linked to fluorescein isothiocyanate (FITC) in PBS (pH 7.4) for 1.5 h in darkness.
Fluorescence was observed with a microscope equipped with epifluorescence irradiation and DIC optics (Eclipse C1, Nikon, Tokyo, Japan). Immunofluorescence (green) was observed at wavelength between 510 and 560. All micrographs were captured using equivalent settings, and representative micrographs were shown in this study.
Cellulose CrI and DP detections
The lignocellulose crystallinity index (CrI) was detected by X-ray diffraction (XRD) method using Rigaku-D/MAX instrument (Ultima III; Japan) as previously described [12]. The relative DP of cellulose was measured by the viscometry method as described previously [12].
Microscopic observations
The second stem internode tissues (0.5 cm sections above the node) at heading stages were cut into 1–2 mm pieces, and were observed and photographed under a scanning electron microscope (SEM TM1000, Hitachi Ltd., Tokyo, Japan).
Observation of biomass residues enzymatic digestion in vitro was conducted as previously described [11]. For plant tissue in situ enzymatic digestion, the second-stem transverse sections at heading stages were treated with 1% NaOH or 1% H2SO4, washed with distilled water until pH 7.0 and incubated with 1 g/L mixed cellulase for 2 h at 50 °C. After enzymatic hydrolysis, the tissue samples were observed and photographed under a SEM. The mixed cellulase containing β-glucanase (≥ 6 × 104 U), cellulase (≥ 600 U), and xylanase (≥ 1.0 × 105 U) was commercially available from Imperial Jade Bio-technology Co., Ltd (Ningxia, 750002, China).
Transmission electron microscopy (TEM) was used to observe the cell wall structures in the third leaf veins of three-leave-old seedlings as previously described [24]. The samples were washed in the PBS buffer, and then post-fixed in 2% (w/v) osmium tetroxide (OsO4) for 1 h and embedded with Super Kit (Sigma-Aldrich, St. Louis, MO, USA). Sample sections were cut with an Ultracut E ultramicrotome (Leica) and picked up on formvar-coated copper grids. After post-staining with uranyl acetate and lead citrate, the specimens were viewed under a Hitachi H7700 (Hitachi Ltd., Tokyo, Japan) transmission electron microscope.
Biomass pretreatment and enzymatic hydrolysis
The chemical (H2SO4, NaOH) pretreatment and sequential enzymatic hydrolysis were performed as described previously [10]. For NaOH pretreatment, the ground biomass powder was added with three concentration (0.5%, 1%, 4%; w/v) of NaOH. For H2SO4 pretreatment, the biomass powder was added with three concentration (0.5%, 1%, 2%; v/v) of H2SO4 and heated at 121 °C for 20 min. The samples of chemical (NaOH, H2SO4) pretreatments were shaken at 150 r/min for 2 h at 50 °C, and centrifuged at 3000g for 5 min. The remaining pellet was washed with distilled water until pH 7.0. The remaining residue was collected for enzymatic hydrolysis. All experiments were performed in the biological triplicates.
Effect of calcofluor treatment on plant growth
The germinated seeds of the fc17 mutant and WT plants were transferred onto the MS media contained Calcofluor White dye (Sigma-Aldrich Co. LLC, California, USA) at different concentrations (0.05%, 0.1% and 0.2%). After 24-h incubation, the root length was measured every 12 h.
Protein extraction and western blot
Fresh rice stem tissues at heading stage were ground to a fine powder in liquid nitrogen, and 0.5 g powder was extracted using Plant Total Protein Extraction Kit (Invent Biotech, Beijing, China; SD-008/SN-009) according to the manufacturer’s instructions. The protein content was measured with a BCA protein assay reagent (Beyotime Institute of Biotechnology, Jiangsu, China). The protein level of CESA4, CESA7, and CESA9 was determined by western blot analysis as described previously [24]. The dilution of anti-CESA4, anti-CESA7, anti-CESA9, and anti-tubulin (Beyotime Institute of Biotechnology, Jiangsu, China) was performed as 1:500, 1:500, 1:500, and 1:1000, respectively.
Protein digestion
Protein digestion was performed using the FASP method [40]. A total of 300 µg proteins from each sample were placed on an ultrafiltration filter (30 kDa cutoff, Sartorius, Gottingen, Germany) that had 200 µL UA buffer (8 M urea, 150 mM Tris–HCl, pH 8.0). It was then centrifuged at 14,000g for 30 min and washed with 200 µL of UA buffer. About 100 µL of 50 mM iodoacetamide was added to the filter to block reduced cysteine residues. The samples were maintained at room temperature for 30 min in the dark, followed by centrifugation at a speed of 14,000g for 30 min. UA buffer (100 µL) was used to wash the filters twice. Approximately 100 µL of a dissolution buffer (Applied Biosystems, Foster City, CA, USA) was placed on the filter. This was centrifuged at 14,000g for 20 min, and then repeated twice. The protein suspensions were subjected to enzyme digestion with 40 µL of trypsin (Promega, Madison, WI, USA) buffer (4 µg trypsin in 40 µL of dissolution buffer) for 16–18 h at 37 °C. The final filter unit was transferred to a new tube that was spun at 14,000g for 30 min. The peptides were collected as a filtrate and the concentration of the peptides was measured at an optical density with a 280 nm wavelength (OD280).
iTRAQ labeling and fractionation by strong cation exchange chromatography
Protein peptides (100 μg) from each group were labeled using the 8plex iTRAQ reagents multiplex kit (ABI, Foster City, CA, USA) (isobaric tags 113, 114, and 116 for the group without CJD and isobaric tags 118, 119, and 121 for the sCJD group). The 8plex iTRAQ reagents were allowed to reach room temperature, centrifuged, and reconstituted with 50 μL isopropyl alcohol to dissolve the iTRAQ labeling reagent. The iTRAQ labeling reagents were added to the corresponding peptide samples and reacted at room temperature for 1 h. A 100 μL aliquot of water was added to stop the labeling reaction. A 1 μL aliquot of sample was removed from each group to test labeling and extraction efficiency, and the sample was subjected to a matrix assisted laser desorption ionization procedure after Ziptip desalting. The six sample groups were pooled and vacuum-dried. Each pool of mixed peptides was lyophilized and dissolved in solution A (2% acetonitrile [ACN] and 20 mM ammonium formate, pH 10). Then, the samples were loaded onto a reverse-phase column (Luna C18, 4.6 × 150 mm; Phenomenex, Torrance, CA, USA) and eluted using a step linear elution program: 0–10% buffer B (500 mM KCl, 10 mM KH2PO4 in 25% ACN, pH 2.7) for 10 min, 10–20% buffer B for 25 min, 20–45% buffer B for 5 min, and 50–100% buffer B for 5 min at a flow rate of 0.8 mL/min. The samples were collected each min and centrifuged for 5–45 min. The fractions collected were finally combined into 10 pools and desalted on C18 Cartridges (Empore™ standard density SPE C18 Cartridges, bed I.D. 7 mm, 3 mL volume; Sigma, St. Louis, MO, USA).
Liquid chromatography–tandem mass spectrometry (LC–MS/MS) analysis
The reconstituted peptides were analyzed with the Q-Exactive mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) coupled with a nano high-performance liquid chromatography (UltiMate 3000 LC Dionex; Thermo Fisher Scientific) system. The peptides were loaded onto a C18-reversed phase column (3 μm-C18 resin, 75 μm × 15 cm) and separated on an analytical column (5 μm C18 resin, 150 μm × 2 cm; Dr. Maisch GmbH, Ammerbuch, Germany) using mobile phase A: 0.5% formic acid [FA]/H2O and B: 0.5% FA/ACN at a flow rate of 300 nL/min, using a 150 min gradient. Spectra were acquired in data-dependent mode. The 10 most intense ions selected for MS scanning (300–1800 m/z, 60,000 resolution at m/z 400, accumulation of 1 × 106 ions for a maximum of 500 ms, 1 microscan). The isolation window was 1.3 m/z, and the MS/MS spectra were accumulated for 150 ms using an Orbitrap. MS/MS spectra were measured at resolution of 15,000 at m/z 400. Dynamic precursor exclusion was allowed for 120 s after each MS/MS spectrum measurement and was set to 17,500 at m/z 200. Normalized collision energy was 30 eV and the underfill ratio, which specifies the minimum percentage of the target value likely to be reached at the maximum fill time, was defined as 0.1%. The instrument was run with peptide recognition mode enabled.
Database search and protein quantification
The raw mass data were processed for the peptide data analysis using Proteome Discoverer 1.4 (ver. 1.4.0.288; Thermo Fisher Scientific) with a false discovery rate (FDR = N(decoy)*2/[(N(decoy) + N(target)] < 1% and expected cutoff or ion score < 0.05 (with 95% confidence) for searching the Oryza sativa UniProt database. Protein probabilities were assigned using the Protein Prophet algorithm, and proteins with at least two unique peptides were identified. The upregulated or downregulated proteins in both replicates with relative quantification p-values < 0.05 and 1.5-fold-changes were selected as differentially expressed.
Bioinformatics analysis
The interactions among the differentially expressed proteins with a 1.5-fold change were determined using Pathway Studio software and the ResNet database (KEGG). The Pathway Maps tool was employed to enrich the pathways, and p-values were calculated based on a hypergeometric distribution, with the default database used as the background. Significant pathway enrichment was defined as a corrected FDR of p ≤ 0.05, and proteins with ≥ 1.5-fold change were considered differentially abundant proteins.
Additional files
Authors’ contributions
LF and XQ designed this study and wrote the manuscript. XQ performed map-based cloning of the fc17 gene. LF performed cell wall composition analysis and iTRAQ-based proteomic profiling. LS and XH performed agronomic traits measurement, biomass digestion analysis, and electron microscope view. XQ revised the manuscript. All authors read and approved the final manuscript.
Acknowledgements
We would like to thank all colleagues at the Rice Research Institute of Shenyang Agricultural University for reading and participating in the discussions relating to the preparation of this manuscript.
Competing interests
The authors declare that they have no competing interests.
Availability of data and materials
All data supporting the conclusions of this article are included within the manuscript and additional files.
Consent for publication
Not applicable.
Ethics approval and consent to participate
Not applicable.
Funding
The National Natural Science Foundation of China (31700259) and the Doctoral Scientific Research Foundation of Liaoning Province (201601107) supported this study.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abbreviations
- CESA
cellulose synthase
- CrI
crystallinity index
- CSCs
cellulose synthase complexes
- CSR
class-specific region
- GalA
galacturonic acid
- GlcA
glucuronic acid
- KEGG
Kyoto Encyclopedia of Genes and Genomes
- LC–MS/MS
liquid chromatography–tandem mass spectrometry
- iTRAQ
isobaric tags for relative and absolute quantification
- PCWs
primary cell walls
- P-CR
plant-conserved region
- SCWs
secondary cell walls
- SEM
scanning electron microscope
- TEM
transmission electron microscopy
Contributor Information
Fengcheng Li, Email: lifc_1983@163.com.
Sitong Liu, Email: 1519150658@qq.com.
Hai Xu, Email: chinaxuhai@163.com.
Quan Xu, Phone: 86-88487184, Email: kobexu34@live.cn.
References
- 1.Somerville CR. Cellulose synthesis in higher plants. Annu Rev Cell Dev Biol. 2006;22:53–78. doi: 10.1146/annurev.cellbio.22.022206.160206. [DOI] [PubMed] [Google Scholar]
- 2.Biswal AK, Atmodjo MA, Pattathil S, Amos RA, Yang X, Winkeler K, et al. Working towards recalcitrance mechanisms: increased xylan and homogalacturonan production by overexpression of GAlactUronosylTransferase12 (GAUT12) causes increased recalcitrance and decreased growth in Populus. Biotechnol Biofuels. 2018;11:9. doi: 10.1186/s13068-017-1002-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Yang Y, Yoo CG, Winkeler KA, Collins CM, Hinchee MA, Jawdy SS, et al. Overexpression of a domain of unknown function 231-containing protein increases O-xylan acetylation and cellulose biosynthesis in Populus. Biotechnol Biofuels. 2017;10:311. doi: 10.1186/s13068-017-0998-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Srivastava AC, Chen F, Ray T, Pattathil S, Peña MJ, Avci U, et al. Loss of function of folylpolyglutamate synthetase 1 reduces lignin content and improves cell wall digestibility in Arabidopsis. Biotechnol Biofuels. 2015;8:224. doi: 10.1186/s13068-015-0403-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Xie G, Peng L. Genetic engineering of energy crops: a strategy for biofuel production in China. J Integr Plant Biol. 2011;53:143–150. doi: 10.1111/j.1744-7909.2010.01022.x. [DOI] [PubMed] [Google Scholar]
- 6.Cosgrove D. Growth of the plant cell wall. Nat Rev Mol Cell Biol. 2005;6:850–861. doi: 10.1038/nrm1746. [DOI] [PubMed] [Google Scholar]
- 7.Lavoine N, Desloges I, Dufresne A, Bras J. Microfibrillated cellulose—its barrier properties and applications in cellulosic materials: a review. Carbohydr Polym. 2012;90:735–764. doi: 10.1016/j.carbpol.2012.05.026. [DOI] [PubMed] [Google Scholar]
- 8.Hall M, Bansal P, Lee JH, Realff MJ, Bommarius AS. Cellulose crystallinity-a key predictor of the enzymatic hydrolysis rate. FEBS J. 2010;277:1571–1582. doi: 10.1111/j.1742-4658.2010.07585.x. [DOI] [PubMed] [Google Scholar]
- 9.Al-Zuhair S. The effect of crystallinity of cellulose on the rate of reducing sugars production by heterogeneous enzymatic hydrolysis. Bioresour Technol. 2008;99:4078–4085. doi: 10.1016/j.biortech.2007.09.003. [DOI] [PubMed] [Google Scholar]
- 10.Li F, Zhang M, Guo K, Hu Z, Zhang R, Feng Y, et al. High-level hemicellulosic arabinose predominately affects lignocellulose crystallinity for genetically enhancing both plant lodging resistance and biomass enzymatic digestibility in rice mutants. Plant Biotechnol J. 2015;13:514–525. doi: 10.1111/pbi.12276. [DOI] [PubMed] [Google Scholar]
- 11.Li F, Ren S, Zhang W, Xu Z, Xie G, Chen Y, et al. Arabinose substitution degree in xylan positively affects lignocellulose enzymatic digestibility after various NaOH/H2SO4 pretreatments in Miscanthus. Bioresour Technol. 2013;130:629–637. doi: 10.1016/j.biortech.2012.12.107. [DOI] [PubMed] [Google Scholar]
- 12.Zhang W, Yi Z, Huang J, Li F, Hao B, Li M, et al. Three lignocellulose features that distinctively affect biomass enzymatic digestibility under NaOH and H2SO4 pretreatments in Miscanthus. Bioresour Technol. 2013;130:30–37. doi: 10.1016/j.biortech.2012.12.029. [DOI] [PubMed] [Google Scholar]
- 13.Bansal P, Hall M, Realff MJ, Lee JH, Bommarius AS. Multivariate statistical analysis of X-ray data from cellulose: a new method to determine degree of crystallinity and predict hydrolysis rates. Bioresour Technol. 2010;101:4461–4471. doi: 10.1016/j.biortech.2010.01.068. [DOI] [PubMed] [Google Scholar]
- 14.Scheller HV, Ulvskov P. Hemicelluloses. Annu Rev Plant Biol. 2010;61:263–289. doi: 10.1146/annurev-arplant-042809-112315. [DOI] [PubMed] [Google Scholar]
- 15.Li M, Si S, Hao B, Zha Y, Wan C, Hong S, et al. Mild alkali-pretreatment effectively extracts guaiacyl-rich lignin for high lignocellulose digestibility coupled with largely diminishing yeast fermentation inhibitors in Miscanthus. Bioresour Technol. 2014;169:447–454. doi: 10.1016/j.biortech.2014.07.017. [DOI] [PubMed] [Google Scholar]
- 16.Ralph J, Lundquist K, Brunow G, Lu F, Kim H, Schatz PF, et al. Lignins: natural polymers from oxidative coupling of 4-hydroxyphenyl-propanoids. Phytochem Rev. 2004;3:29–60. doi: 10.1023/B:PHYT.0000047809.65444.a4. [DOI] [Google Scholar]
- 17.Kumar M, Turner S. Plant cellulose synthesis: cESA proteins crossing kingdoms. Phytochemistry. 2015;112:91–99. doi: 10.1016/j.phytochem.2014.07.009. [DOI] [PubMed] [Google Scholar]
- 18.Pear JR, Kawagoe Y, Schreckengost WE, Delmer DP, Stalker DM. Higher plants contain homologs of the bacterial celA genes encoding the catalytic subunit of cellulose synthase. Proc Natl Acad Sci USA. 1996;93:12637–12642. doi: 10.1073/pnas.93.22.12637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Olek AT, Rayon C, Makowski L, Kim HR, Ciesielski P, Badger J, et al. The structure of the catalytic domain of a plant cellulose synthase and its assembly into dimers. Plant Cell. 2014;26:2996–3009. doi: 10.1105/tpc.114.126862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sethaphong L, Haigler CH, Kubicki JD, Zimmer J, Bonetta D, DeBolt S, et al. Tertiary model of a plant cellulose synthase. Proc Natl Acad Sci USA. 2013;110:7512–7517. doi: 10.1073/pnas.1301027110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Persson S, Paredez A, Carroll A, Palsdottir H, Doblin M, Poindexter P, et al. Genetic evidence for three unique components in primary cell-wall cellulose synthase complexes in Arabidopsis. Proc Natl Acad Sci USA. 2007;104:15566–15571. doi: 10.1073/pnas.0706592104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Desprez T, Juraniec M, Crowell EF, Jouy H, Pochylova Z, Parcy F, et al. Organization of cellulose synthase complexes involved in primary cell wall synthesis in Arabidopsis thaliana. Proc Natl Acad Sci USA. 2007;104:15572–15577. doi: 10.1073/pnas.0706569104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Taylor NG, Howells RM, Huttly AK, Vickers K, Turner SR. Interactions among three distinct CesA proteins essential for cellulose synthesis. Proc Natl Acad Sci USA. 2003;100:1450–1455. doi: 10.1073/pnas.0337628100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Li F, Xie G, Huang J, Zhang R, Li Y, Zhang M, et al. OsCESA9 conserved-site mutation leads to largely enhanced plant lodging resistance and biomass enzymatic saccharification by reducing cellulose DP and crystallinity in rice. Plant Biotechnol J. 2017;15:1093–1104. doi: 10.1111/pbi.12700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wang L, Guo K, Li Y, Tu Y, Hu H, Wang B, et al. Expression profiling and integrative analysis of the CESA/CSL superfamily in rice. BMC Plant Biol. 2010;10:282. doi: 10.1186/1471-2229-10-282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tanaka K, Murata K, Yamazaki M, Onosato K, Miyao A, Hirochika H. Three distinct rice cellulose synthase catalytic subunit genes required for cellulose synthesis in the secondary wall. Plant Physiol. 2003;133:73–83. doi: 10.1104/pp.103.022442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhang B, Deng L, Qian Q, Xiong G, Zeng D, Li R, et al. A missense mutation in the transmembrane domain of CESA4 affects protein abundance in the plasma membrane and results in abnormal cell wall biosynthesis in rice. Plant Mol Biol. 2009;71:509–524. doi: 10.1007/s11103-009-9536-4. [DOI] [PubMed] [Google Scholar]
- 28.Yan C, Yan S, Zeng X, Zhang Z, Gu M. Fine mapping and isolation of bc7(t), allelic to OsCesA4. J Genet Genom. 2007;34:1019–1027. doi: 10.1016/S1673-8527(07)60115-5. [DOI] [PubMed] [Google Scholar]
- 29.Domínguez-Escribá L, Porcar M. Rice straw management: the big waste. Biofuel Bioprod Biorefining. 2009;4:154–159. doi: 10.1002/bbb.196. [DOI] [Google Scholar]
- 30.Xu N, Zhang W, Ren S, Liu F, Zhao C, Liao H, et al. Hemicelluloses negatively affect lignocellulose crystallinity for high biomass digestibility under NaOH and H2SO4 pretreatments in Miscanthus. Biotechnol Biofuels. 2012;5:58. doi: 10.1186/1754-6834-5-58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Fujita M, Himmelspach R, Ward J, Whittington A, Hasenbein N, Liu C, et al. The anisotropy1 D604N mutation in the Arabidopsis cellulose synthase 1 catalytic domain reduces cell wall crystallinity and the velocity of cellulose synthase complexes. Plant Physiol. 2013;162:74–85. doi: 10.1104/pp.112.211565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Harris DM, Corbin K, Wang T, Gutierrez R, Bertolo AL, Petti C, et al. Cellulose microfibril crystallinity is reduced by mutating C-terminal transmembrane region residues CESA1 A903V and CESA3 T942I of cellulose synthase. Proc Natl Acad Sci USA. 2012;109:4098–4103. doi: 10.1073/pnas.1200352109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Haigler CH, Brown RM, Benziman M. Calcofluor white ST alters the in vivo assembly of cellulose microfibrils. Science. 1980;210:903–906. doi: 10.1126/science.7434003. [DOI] [PubMed] [Google Scholar]
- 34.Chiniquy D, Varanasi P, Oh T, Harholt J, Katnelson J, Singh S, et al. Three novel rice genes closely related to the Arabidopsis IRX9, IRX9L, and IRX14 genes and their roles in xylan biosynthesis. Front Plant Sci. 2013;4:83. doi: 10.3389/fpls.2013.00083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Chen X, Vega-sánchez ME, Verhertbruggen Y, Chiniquy D, Canlasa PE, Fagerström A, et al. Inactivation of OsIRX10 leads to decreased xylan content in rice culm cell walls and improved biomass saccharification. Mol Plant. 2013;6:570–573. doi: 10.1093/mp/sss135. [DOI] [PubMed] [Google Scholar]
- 36.Islam MS, Peng S, Visperas RM, Ereful N, Bhuiya MSU, Julfiquar AW. Lodging-related morphological traits of hybrid rice in a tropical irrigated ecosystem. Field Crop Res. 2007;101:240–248. doi: 10.1016/j.fcr.2006.12.002. [DOI] [Google Scholar]
- 37.Crook MJ, Ennos AR. Stem and root characteristics associated with lodging resistance in four winter wheat cultivars. J Agric Sci. 1994;123:167–174. doi: 10.1017/S0021859600068428. [DOI] [Google Scholar]
- 38.Ma QH. The expression of caffeic acid 3-O-methyltransferase in two wheat genotypes differing in lodging resistance. J Exp Bot. 2009;60:2763–2771. doi: 10.1093/jxb/erp132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Wang Y, Huang J, Li Y, Xiong K, Wang Y, Li F, et al. Ammonium oxalate-extractable uronic acids positively affect biomass enzymatic digestibility by reducing lignocellulose crystallinity in Miscanthus. Bioresour Technol. 2015;196:391–398. doi: 10.1016/j.biortech.2015.07.099. [DOI] [PubMed] [Google Scholar]
- 40.Wisniewski JR, Zougman A, Nagaraj N, Mann M. Universal sample preparation method for proteome analysis. Nat Methods. 2009;6:359–362. doi: 10.1038/nmeth.1322. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data supporting the conclusions of this article are included within the manuscript and additional files.