Evaluation of fungal degradation of wheat straw cell wall using different analytical methods from ruminant nutrition perspective

Abstract BACKGROUND White rot fungi have been used to improve the nutritive value of lignocellulose for ruminants. In feed analysis, the Van Soest method is widely used to determine the cell wall contents. To assess the reliability of this method (Method A) for determination of cell wall contents in fungal‐treated wheat straw, we compared a combined monosaccharide analysis and pyrolysis coupled to gas chromatography with mass spectrometry (Py‐GC/MS) (Method B). Ruminal digestibility, measured as in vitro gas production (IVGP), was subsequently used to examine which method explains best the effect of fungal pretreatment on the digestibility of wheat straw. RESULTS Both methods differed considerably in the mass recoveries of the individual cell wall components, which changed on how we assess their degradation characteristics. For example, Method B gave a higher degradation of lignin (61.9%), as compared to Method A (33.2%). Method A, however, showed a better correlation of IVGP with the ratio of lignin to total structural carbohydrates, as compared to Method B (Pearson's r of −0.84 versus −0.69). Nevertheless, Method B provides a more accurate quantification of lignin, reflecting its actual modification and degradation. With the information on the lignin structural features, Method B presents a substantial advantage in understanding the underlying mechanisms of lignin breakdown. Both methods, however, could not accurately quantify the cellulose contents – among others, due to interference of fungal biomass. CONCLUSION Method A only accounts for the recalcitrant residue and therefore is more suitable for evaluating ruminal digestibility. Method B allows a more accurate quantification of cell wall, required to understand and better explains the actual modification of the cell wall. The suitability of both methods, therefore, depends on their intended purposes. © 2019 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.


INTRODUCTION
Unlocking the lignin-carbohydrate complex in the cell wall is a key step in improving the utilization of agricultural biomass for various applications, including animal feed. [1][2][3] Due to an increased demand for eco-friendly approaches, biological methods, including the use of white-rot fungi have received much attention in recent years. 4,5 Many studies reported considerable successes in using fungi such as Ceriporiopsis subvermispora, Lentinula edodes and Pleurotus eryngii for improving the ruminal digestibility of biomasses. 4,6,7 These studies mainly rely on the classical Van Soest et al. 8 method to assess the capability of a particular fungus in modifying the cell wall contents -hence, explaining the subsequent ruminal digestibility. Since there is a growing interest for future research on the application of fungi, it is important to ascertain the reliability of this commonly used method. Using wheat straw as a model substrate, this article deals with the relevance of different analytical methods in understanding the degradation of cell wall by white-rot fungi.
While the Van Soest method is practical and provides a good estimate of the cell wall contents, it is, however, unspecific. For instance, acid-detergent lignin (ADL) -a fraction of the Van Soest method, only represents the recalcitrant lignin content in the residue, and does not quantify the acid soluble lignin. 9 We hypothesize that during the fungal growth, parts of the remaining carbohydrate and lignin become more soluble and are subsequently removed in the (acid-) soluble fractions, thus further interfere with the quantification of different cell wall components from the Van Soest method. In addition, parts of the fungal biomass components that have structural resemblance to that of substrate may further complicate the outcomes. To investigate the relevance of the Van Soest method, we performed specific analyses for both lignin and structural carbohydrates. Pyrolysis coupled to gas chromatography with mass spectrometry (Py-GC/MS) has been shown to be a powerful tool in estimating the lignin content, while simultaneously providing information on the lignin structural features. 5,10 Recent development of a highly accurate Py-GC/MS technique, which uses carbon-13 ( 13 C) lignin as internal standard, allows an accurate quantification of the lignin content. 11 This precise technique has also been used to study the mechanisms of different fungal species in modifying lignin structure. 12 Meanwhile, cellulose and hemicellulose can be also quantified using constituent monosaccharides analysis. 13 From ruminant nutrition perspective, the digestibility of the fungal-treated wheat straw is an important indicator and hence, was used as the basis of comparison between different analytical methods in this study. The in vitro gas production (IVGP) is a robust and effective technique to assess in vitro digestibility of substrates in the rumen. 14 It has been widely used in feed evaluation studies, including assessment of fungal-treated agricultural biomasses. 7,15 Recently, we have screened for high potential strains of C. subvermispora, P. eryngii and L. edodes, based on their abilities to improve IVGP of wheat straw. 16 These high potential strains showed a considerable variation in degrading the cell wall contents, particularly the ADL content of wheat straw (22.3-52.2%), providing a good range of data for the purpose of this study.
The aim of this study was to evaluate the relevance of different analytical methods in assessing fungal degradation of wheat straw cell wall with respect to mass recoveries and relationship with the IVGP. We also presented the advantages and disadvantages of using both methods and their practical applications when assessing fungal pretreatment of wheat straw. Hereto, two methods were compared: (i) Method A, based on Van Soest et al. 8 ; (ii) Method B, by combined methods of assessing lignin and carbohydrates, based on Py-GC/MS 11,17 and constituent monosaccharide analysis, 13 respectively.

Preparation of the fungal-treated wheat straw
Two high potential strains from three different fungal species were previously selected based on their ability to improve IVGP of wheat straw: CS1 (CBS 347.63) and CS12 (ME-485) strains of C. subvermispora, PE3 (Mycelia2600) and PE6 (AL04) of P. eryngii and LE8 (sh 03/08) and LE10 (LE75) of L. edodes. 16 Procedures for the fungal strain preparations and treatment of the wheat straw have been described previously in detail. 4 All strains were maintained on malt extract agar before a piece of that agar (1.5 cm × 2.0 cm) was used to prepare the spawn for each fungus. The spawn was prepared using sterilized sorghum grains and was incubated at 24 ∘ C for 5 weeks. Organic wheat straw was purchased from a local farmer in the Netherlands, and chopped into approximately 3 cm pieces. The wheat straw was soaked in water for 3 days at room temperature and excess water was drained for 5 h. Adjustments were made based on the final moisture content of the straw (∼74% w/w), for each container (Combiness, Nevele, Belgium) to contain 90.2 ± 0.3 g of dry matter (DM). After autoclaving at 121 ∘ C for 1 h, the straw was inoculated with the prepared spawn at 10% of the dry weight. The wheat straw (treated and untreated with fungi) was incubated in triplicate aerobically at 24 ∘ C for 7 weeks in a climate-controlled chamber. All samples were freeze-dried and ground over a 1 mm sieve using a cross beater mill (100AN, Peppink, Olst, The Netherlands).

In vitro gas production (IVGP)
The IVGP -expressed as milliliters per gram of organic matter (OM), was performed according to Cone et al. 14 In brief, ∼0.5 ± 0.01 g of sample was incubated in 60 mL buffered rumen fluid at 39 ∘ C. The incubation was carried out for 72 h and the gas production was recorded automatically.

Conventional feed analyses: 'Van Soest'
Samples were dried in an oven at 103 ∘ C to determine the DM content (ISO 6496, 1999); and then further combusted at 550 ∘ C for 3 h in a muffle furnace for the ash content (ISO 5984, 2002). Nitrogen content was determined by the Kjeldahl method (ISO 5983, 2005) and crude protein was calculated as N × 6.25. Compositional analysis of the fiber contents was carried out according to Van Soest et al. 8 , in an ANKOM 200 fiber analyzer (ANKOM Technology, New York, USA). Neutral-detergent fiber (NDF) was determined using a heat-stable amylase (thermamyl) and alcalase. Acid-detergent fiber (ADF) and ADL were determined by boiling the sample in an acid-detergent solution, and to determine ADL the residue was further treated with 72% v/v sulfuric acid (H 2 SO 4 ). All fiber contents were corrected for ash. Hemicellulose was calculated by subtracting ADF from NDF values, while cellulose was calculated as the difference between ADF and ADL. The cell wall contents were expressed on dry matter basis (% w/w DM). Absolute amounts were calculated from the remaining freeze-dried materials (in grams), which were corrected for their DM contents. The Van Soest method resulted in variations of the ADL content (<10%) among different biological replicates of the same treatment, while cellulose and hemicellulose showed less than 5% variation. Therefore, prior to the monosaccharides and Py-GC/MS analyses, an equal amount of each biological replicate belonging to the same treatment was thoroughly mixed into one sample, allowing more accurate lignin and carbohydrates analyses.

Carbohydrate content and composition: 'Englyst'
The carbohydrate content and composition was determined in duplicate according to Englyst and Cummings, 13 using inositol as an internal standard. Samples were treated with 72% (w/w) H 2 SO 4 (1 h, 30 ∘ C) followed by hydrolysis with 1 mol L −1 H 2 SO 4 for 3 h at 100 ∘ C. The constituent sugars released were analyzed as their alditol-acetates using gas chromatography (ThermoScientific, Waltham, MA, USA) and determined as anhydrocarbohydrates. A standard with a known concentration of glucose, galactose, mannose, arabinose, rhamnose and xylose was taken along in the procedure. The uronic acids released after the acid hydrolysis step, were determined in duplicate as anhydrouronic acid by an automated meta-hydroxydiphenyl assay 18 with addition of sodium tetraborate using an auto-analyzer (Skalar Semi-quantitative and quantitative pyrolysis Prior to Py-GC/MS, ground wheat straw (1 mm) was ball-milled in a MM200 mixer mill (Retsch, Haan, Germany). Detailed procedures have been described previously. 11,17 Pyrolysis was performed with an EGA/PY-3030D Multi-shot pyrolyzer (Frontier Laboratories, New Ulm, MN, USA) equipped with an AS-1020E Autoshot auto-sampler. The pyrolyzer was coupled to a GC/MS, using a Trace GC, coupled to a DSQ-II mass spectrometer (both Thermo Scientific, Waltham, MA, USA). Pyrolysis of samples (∼80 μg) was performed at 500 ∘ C for 1 min. Pyrolysis products were injected into the column via a split/splitless injection (at 250 ∘ C) with a splitratio of 1:133 and helium was used as carrier gas. The GC oven was programmed at 270 ∘ C for 15 min. MS detection was used with a scan range of 50-550 m/z and a scan rate of 4.0 scans s −1 . Compounds were identified by comparing the retention time and mass spectra with standards, the NIST library and published data. 19 For semi-quantitative analysis (samples of weeks 0, 1, 3 and 7), pyrograms were processed with Xcalibur 2.2 software. Areas were normalized by dividing by corresponding relative response factors (RRFs), multiplied with the molecular weight of the respective compound and summed. 11 Lignin content was estimated on the basis of the total area of lignin-derived pyrolysis products and compared to a wheat straw reference sample with known total Klason lignin content (20.5% w/w). 17 Only samples of weeks 0 and 7 were subjected to the quantitative Py-GC/MS, using the previously described procedures. 11 Briefly, 10 μL of a 13 C lignin internal standard (IS) solution (1 mg mL −1 ) was mixed with ∼80 μg of sample and dried before analysis. Lignin-derived pyrolysis products were monitored in the selected ion monitoring (SIM) mode on the two most abundant fragments per compound (both 12 C and 13 C). The area for each compound was normalized by dividing by the RRF. The RRF values were updated to system performance by recalculation to obtain an identical relative abundance of lignin-derived pyrolysis products of the 13 C IS added to the wheat straw reference sample. Lignin content (% w/w) was determined as the sum of lignin-derived pyrolysis products by the established formula. 11 Relative abundances of lignin-derived pyrolysis products were based on areas normalized for the 13 C analogues from the IS present in the same sample to distinguish matrix and treatment effects. Areas were not corrected for molecular weight. Compounds were classified according to their structural features (see Supporting Information Table S1) and summed. All samples were prepared and analyzed in triplicate. A complete characterization of lignin structural moieties (e.g. unsubstituted and C -oxidized compounds) has also been published in Van Erven et al. 12

Statistics
Data were analyzed using the general linear model (analysis of variance, ANOVA) in SAS 9.3, followed by post hoc multiple comparison with Fisher's least significance differences. The statistical model used was as follows: where Y ijk represents the response variable ijk; μ, overall mean; SP i , the effect of species i; ST j(i) , the effect of strain j nested within species i; k(i j) , effect of week k; ijk , residual error with a mean of zero and variance 2 . Thus, SP i was considered a fixed effect, ST j(i) and k(i j) as random effects. Pearson Product-Moment Correlation (r) coefficients were also determined among the measured variables. Probability values below 5% were considered significant. No ANOVA was applied on the analytical replicates data of the mixed samples (monosaccharides and Py-GC/MS analyses). However, the coefficient of variation (CV) was calculated as a measure of proportional error. 20

RESULTS AND DISCUSSION
The cell wall contents of wheat straw, treated with six high potential fungal strains for 7 weeks were assessed using two methods: (i) Method A was based on Van Soest et al. 8 ; and (ii) Method B represents two specific analyses for lignin and carbohydrates, using 13 C quantitative Py-GC/MS (and semi-quantitative for weekly data) 11,17 and the Englyst method, 13 respectively. Figure 1 illustrates different components (belonging to substrate and fungi) that would be recovered in both methods. Here, we assessed the two methods by comparing the cell wall contents and their degradation (in absolute amounts); and later discussing their differences in view of ruminal digestibility of the fungal-treated wheat straw.

Analysis of the cell wall using the two methods
The cell wall contents of wheat straw, with and without fungal pretreatment after 7 weeks are provided in Table 1. For the untreated wheat straw (control), the cell wall contents were in the range of previously reported values (on a DM basis, w/w) for cellulose (46-50%), hemicellulose (26-31%) and ADL (7-9%) (Method A). 4,7,15 Similarly, the cell wall contents determined in Method B were comparable to previous reports on cellulose (34-43%) and hemicellulose (26-35%). [21][22][23] The lignin contents, determined by 13 C quantitative Py-GC/MS, were similar to the total Klason lignin content of wheat straw (∼25%). 10,17 These comparable results demonstrate reliability of the cell wall analyses performed on the bioprocessed wheat straw in the present study.
In Method B, the cellulose content (measured as released glucose after hydrolysis) was 15.8% to 32.2% lower, as compared to cellulose measured with Method A. It is inferred that Method A may overestimate the cellulose content since parts of hemicellulose (e.g. xylan that is associated with lignin) can also end up in the ADF fraction ( Fig. 1). In addition, a significant portion of lignin is solubilized by the acid-detergent solution, leading to overestimation of cellulose contents. 24 Similarly, the limitations of ADF (and NDF) lead to inaccuracies in the quantification of hemicellulose. In Method B, hemicellulose content (measured as GAX) of untreated straw was 17.8% lower than hemicellulose estimated by the Method A. One of the possible reasons is that not all hemicellulose in the untreated straw can be hydrolyzed in Method B due to interaction with other cell wall components. Upon fungal pretreatment, partly degraded hemicellulose may be solubilized in Method A, but can be measured as the constituent monosaccharides in Method B. All fungal-treated wheat straw showed 1.5% to 28.5% higher GAX contents, as compared to the hemicellulose obtained by Method A. The lignin contents as determined using 13 C quantitative Py-GC/MS (Py.lignin; Method B) were 1.5 to 2.8 times higher, as compared to ADL in Method A. This difference is expected since ADL greatly underestimates the total lignin contents. 9 Between the two methods, good correlations were only found in the determination of hemicellulose-GAX (r = 0.76; P < 0.001) and ADL-Py.lignin (r = 0.84; P < 0.001).    The amount of cellulose should not increase, since this polysaccharide is used by fungi for growth (mass transfer) and metabolism. The monosaccharides analysis 13 can also include the non-structural carbohydrates, which are soluble in neutraland acid-detergent solutions. Similar to hemicellulose, a more complete hydrolysis of cellulose upon fungal pretreatment can be achieved in Method B, leading to an apparent increase of the cellulose content. In the untreated straw, cellulose crystallinity and interaction with other cell wall components may limit a complete hydrolysis. We also speculate an interference from the fungal biomass with the cellulose and glucan contents (Fig. 1). True (higher) fungi do not contain cellulose, a -(1→4)-D-glucan polymer. 25 However, fungal polysaccharides such as -(1→3)-D-glucan and -(1→3)-D-glucan 26 , as well as chitin ( -(1→4)-linked N-acetyl-D-glucosamine), may be included in the total cellulose content of Method A. Meanwhile, the acid hydrolysis step in Method B will also hydrolyze all glucan belonging to the fungal biomass; but not chitin, which requires a stronger acid. 27 Due to its recalcitrant nature, chitin may end up in the ADL fraction. Hence, it can be concluded that none of the two methods allow accurate quantification of straw cellulose without interference from fungal glucan.
Comparing the two methods, the mean degradation of GAX for different samples was only 9.3%, as compared to hemicellulose in Method A (33.4%). Py.lignin gave a higher degradation of lignin (61.9%), compared to the ADL (33.2%). These large differences between methods indicate disparities in the mass recovery of cell wall components, which may change the assessment made on the fungal modification of lignocellulosic biomass. Using Method A, it has been reported that the degradation of ADL is accompanied by the degradation of hemicellulose. 28 In the present study, the degradation of hemicellulose (20.0% to 49.7%) followed a similar pattern to that of ADL (22.3% to 52.2%). A significant (P < 0.001) correlation of ADL with hemicellulose was observed (r = 0.93) ( Table 2). Method B, however, suggests a lesser degradation of hemicellulose (determined as GAX), i.e. both polymers are not simultaneously degraded by fungi (at a comparable magnitude), as commonly reported in the literature. 4,7,15 The fragmented lignin may also contain intact hemicellulose polymers, especially xylan, 29 which explains the strong correlation in Method A (simultaneous 'degradation' of ADL and hemicellulose).
Lignin is the main determinant of ruminal digestiblity. 24,30 Therefore, an accurate and in-depth assessment of the lignin content and structure is crucial, which can be obtained by using an advanced analysis such as Py-GC/MS. 10,11 The 13 C quantitative Py-GC/MS of the samples released 49 lignin-derived compounds (see Table S1), which were used to quantify the Py.lignin contents (Table 1). Based on this method, a species-dependent trend in the extent of Py.lignin degradation can be observed, with C. subvermispora strains degrading most lignin (∼63%), followed by L. edodes strains (∼58%) and P. eryngii (∼39%) (Fig. 2). These figures were remarkably higher, as compared to the assessment using Method A, where C. subvermispora, L. edodes and P. eryngii strains degraded ∼40%, 36% and 26% of ADL, respectively. No clear-cut species-dependent trend can be observed from Method A. Both methods provided a notable difference in the degradation of lignin for a C. subvermispora strain, CS12 (22.3% versus 69.7% for Method A and B, respectively). It was however unclear on the lower lignin degradation observed for CS12-treated wheat straw, using Method A.
Besides content, Py-GC/MS also provides information on the lignin structural features (Table 2), which is a substantial advantage over Method A, particularly in providing insight on the underlying mechanism of lignin degradation. By referring to a lower lignin degradation observed for CS12-treated straw in Method A -indeed, CS12 showed a slight preference towards degrading guaiacyl (G) unit compounds, as compared to other fungi (Fig. 2). However, the overall results showed that the preference of these high potential fungi was almost non-existent, indicating the ability of the majority of these fungi to degrade different monolignol units at the same magnitude. In the literature, however, most fungi showed a preference in degrading the syringyl (S) unit compounds, compared to the G-units. 5,31,32 The S-unit compounds have a slightly lower redox potential and fewer aryl-O-aryl bonds, making them more susceptible to fungal degradation. 31 We have recently provided a detailed insight into the mechanisms of these selected fungi in degrading and modifying different lignin moieties, through a combination of Py-GC/MS and nuclear magnetic resonance (NMR) analyses. 12

Relationship of cell wall contents with ruminal digestibility
To facilitate further understanding, we compared the two methods based on the relationship of cell wall contents with ruminal digestibility, as measured by the IVGP. 14 The changes in IVGP wileyonlinelibrary.com/jsfa   of these fungal-treated straws have been previously discussed in detail 16 -hence, will only be mentioned briefly. All fungi clearly increased the IVGP of the wheat straw (Table 1). Still, large IVGP variations were observed among different species (to a lesser extent, between strains of the same species), with ∼24% difference between CS1 (highest) and PE3 (lowest). A species-dependent trend, similar to the degradation of Py.lignin (Method B) was also observed. Data at different time points (weeks 1, 3 and 7) were used for comparing the correlations among all measured variables from the two methods (Table 3). Previously, we showed that most changes (cell wall contents and IVGP) were observed at these time points. 4 Control (week 0) data were excluded from the correlation analysis. The weekly data for Py.lignin contents (Method B) were based on semi-quantitative Py-GC/MS, which showed ∼9% higher Py.lignin contents, as compared to the 13 C quantitative Py-GC/MS. With Method A, the IVGP was positively correlated to cellulose (r = 0.46; P = 0.070), but negatively correlated to hemicellulose (r = −0.84; P < 0.001) and ADL (r = −0.88; P < 0.001) ( Table 3). These results are consistent with previous reports, which used the same Method A. 4,15 The high correlation of ADL with the IVGP (Fig. 3) is expected since the ADL fraction only accounts for the recalcitrant lignin, which is highly resistant to fermentation in the rumen. This recalcitrant lignin covalently bonds to its associated polysaccharides, which leads to a low degradability of cell walls in the rumen. 30 It is inferred that the residual lignin in the ADL fraction may be structurally modified, but is not completely degraded by the fungi. Similar circumstances are also applicable to the cellulose contents, where degraded cellulose is solubilized, leaving behind intact cellulose polymers. This explains a low correlation of cellulose with the IVGP. Figure 3 shows the relationship between IVGP and the lignin to structural carbohydrates (L/C) ratio. The L/C from the two methods showed significant (P < 0.01) relationships with the IVGP, although Method A showed a higher correlation coefficient (r), compared to Method B (−0.84 versus −0.69, respectively). Both methods are considered reliable in explaining the subsequent IVGP of fungal-treated wheat straw. Although both methods show the same trend, the correlation coefficients of the individual cell wall components with the IVGP were noticeably lower for Method B.
Combined with our earlier assessment on the mass recoveries, these observations led to several inferences: (i) Method A is more indicative of the cell wall solubility -which explained the IVGP well, rather than indicating the actual cell wall degradation by fungi. The more specific Method B elucidates more on the structure, which aids our understanding of variations among fungal strains in modifying the cell wall; (ii) Although the recalcitrant lignin (ADL) caused a strong negative effect on the IVGP, www.soci.org N Nayan et al.  the inclusion of all lignin-derived compounds in Py.lignin contents (acid soluble fraction and/or modified lignin fragments) suggested a weaker relationship. The inverse relationship of lignin with digestibility is widely accepted. 30 In their review, Susmel and Stefanon 33 combined results from several studies, and concluded that an 'apparent' digestion of lignin in the rumen (2% to 53%) occurs. However, it is still debatable if modified lignin fragments could be fermented in the rumen and contribute to the IVGP. (iii) The close association of lignin to hemicellulose described earlier, is also a valid explanation for a weaker negative relationship of Py.lignin with IVGP, as compared to ADL. Besides interfering in the cell wall compositional analyses, the fungal glucan, like the straw cellulose, are fermentable in the rumen. 34 Therefore, we speculate a contribution of pure mycelia in the wheat straw to the total IVGP. Although chitin is thought to be resistant to microbial degradation, several studies reported the presence of chitinolytic microbes and proved the presence of chitinase and N-acetyl--glucosaminidase activities in the rumen. 34,35 Due to the fact that the IVGP is the cumulative production of carbon dioxide (CO 2 ) (∼65%), methane (∼31%) and other minor gases 36 from any fermentable OM, we performed a pilot trial on the fermentability of the pure fungal biomass in rumen fluid (see Supporting Information Procedure S1). Results showed that fungal biomass (based on ergosterol measurement 37 ) only accounted for less than 3% of total OM of the treated wheat straw (see Table   S2). The pure mycelial mass resulted in a higher IVGP compared to their respective treated straws, by a factor of 1.03 to 1.20 (see Fig.  S1). These results show that the fungal biomass is fermentable in the rumen and contribute to the total IVGP, although the fermentation of straw polymers is still the major part of the observed IVGP. However, the in situ infiltration of fungal biomass in lignocellulose matrix, may affect its effective degradability in the rumen.
Previously, Van Kuijk et al. 5 showed a strong correlation (r = −0.75) of the S/G ratio with the IVGP of wheat straw treated with a single fungus -L. edodes. In the present study, there was a poor correlation of IVGP and the pooled S/G ratio (r = −0.28) and even to the Py.lignin contents (r = −0.08). Similar observations were observed when correlating IVGP with other specific structural features of lignin (data not shown). This is expected since fungi are unique in attacking certain moieties and structural features of lignin. 12 The IVGP showed a significant correlation with the Py.lignin contents (r = −0.73; P < 0.01). These observations show that lignin content, rather than its structural features, is the main determinant for the subsequent ruminal digestibility.
Method A should be used. This method is preferred by many ruminant nutritionists as it is relatively easy to perform with high-throughput. However, in assessing fungal-treated biomass, the accuracy of Method A greatly relies on the precision of the extraction and filtration steps. 38 Smaller lignin and structural carbohydrates degradation products can easily be removed from the normal pore size filter bags (Φ = 25 μm). Therefore, Method A should not be used as the sole method to conclude on the capability of a particular fungus in degrading different components of cell wall. For a fundamental understanding of fungal modification of cell wall, Method B (Py-GC/MS in particular) should be used instead. While lignin can be accurately quantified by Py-GC/MS, neither methods assessed here can provide a satisfactory assessment of the cellulose -among others, due to the interference from fungal biomass. Therefore, a more advanced technique such as radioactive labelling (e.g. 13 C) of substrate (or fungi) 39 should be considered to unravel the complex cell wall modification by white-rot fungi.

CONCLUSION
The two methods -Method A, the Van Soest method and Method B, the constituent monosaccharide analysis and Py-GC/MS -differ considerably in the mass recoveries of different cell wall components. Method A can be used to explain the subsequent digestibility of fungal-treated wheat straw in the rumen, since it only accounts for the recalcitrant and insoluble residues. Method A underestimates the cell wall contents, hence, should not be solely used in assessing the capability of fungi to modify the cell wall. While Method A is relatively easy to perform with high-throughput, Method B should be used when characterizing the underlying mechanisms of cell wall breakdown by fungi. The latter provides a more accurate quantification of cell wall, particularly lignin. Neither methods could accurately quantify the cellulose contents, which has been attributed to method limitations and the interference of fungal biomass.