Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2015 Aug 28;5:13592. doi: 10.1038/srep13592

Spatial differentiation of gene expression in Aspergillus niger colony grown for sugar beet pulp utilization

Isabelle Benoit 1,2,3,a,*, Miaomiao Zhou 1,3,*, Alexandra Vivas Duarte 1,2,3, Damien J Downes 4, Richard B Todd 4, Wendy Kloezen 2, Harm Post 5, Albert J R Heck 5, A F Maarten Altelaar 5, Ronald P de Vries 1,3
PMCID: PMC4552001  PMID: 26314379

Abstract

Degradation of plant biomass to fermentable sugars is of critical importance for the use of plant materials for biofuels. Filamentous fungi are ubiquitous organisms and major plant biomass degraders. Single colonies of some fungal species can colonize massive areas as large as five soccer stadia. During growth, the mycelium encounters heterogeneous carbon sources. Here we assessed whether substrate heterogeneity is a major determinant of spatial gene expression in colonies of Aspergillus niger. We analyzed whole-genome gene expression in five concentric zones of 5-day-old colonies utilizing sugar beet pulp as a complex carbon source. Growth, protein production and secretion occurred throughout the colony. Genes involved in carbon catabolism were expressed uniformly from the centre to the periphery whereas genes encoding plant biomass degrading enzymes and nitrate utilization were expressed differentially across the colony. A combined adaptive response of carbon-catabolism and enzyme production to locally available monosaccharides was observed. Finally, our results demonstrate that A. niger employs different enzymatic tools to adapt its metabolism as it colonizes complex environments.


Filamentous fungi live in nearly all ecosystems on Earth and play a major role in decomposing organic material. The fungal colony consists of interconnected hyphae and can cover immense areas. The largest and oldest living organism belongs to the genus Armillaria1. Armillaria ostoyae, for instance, extends over approximately 37 ha2. Taking into account the complexity of the environment and the changes in available carbon sources during the course of fungal growth, the mycelium of a single colony encounters a heterogeneous substrate3. The periphery of the colony is exposed to unexplored organic material as the hyphae extend during growth, whereas the colony center directly contacts a substrate that has been partially utilized. Previous studies on Aspergillus niger grown on xylose or maltose have shown that the vegetative colonizing mycelium is highly differentiated for enzyme secretion4. Some exploring hyphae strongly secrete glucoamylase when others do not. Moreover, on xylose or maltose, mycelial growth and protein secretion mainly take place at the periphery of the colony5. When the same colony is transferred to fresh medium, protein secretion occurs at the periphery and throughout the colony. When growing in their natural biotope, fungal colonies are not exposed to carbon depletion, but instead different parts of the mycelium are exposed to heterogeneous carbon sources with variable composition. To study differentiation of gene expression in a more “natural” situation, we grew A. niger on a crude plant biomass substrate, sugar beet pulp (SBP).

A. niger is one of the most important industrial fungi worldwide and is a model organism for plant biomass utilization, enzyme secretion and carbon metabolism in fungi. Sugar beet (Beta vulgaris) is the main crop for sugar production in Europe (http://epp.eurostat.ec.europa.eu). In United States, sugar beet has provided about 55 percent of the total sugar produced domestically since the mid-1990 s (http://www.ers.usda.gov). SBP is the cell debris that remains after sugar extraction from the sugar-beet roots. SBP is a well-known source of pectin as 24–32% of the biomass is pectic substances, but it also contains 24–32% hemicellulose, 22 to 40% cellulose, 3–5% lignin and 8–11% proteins6,7. Therefore sugar beet pulp waste from the sugar industry is a potential source of carbon for biofuel production, provided that these complex carbon molecules can be efficiently degraded8. In this study we investigated how A. niger uses its enzymatic toolbox throughout the vegetative mycelial colony to degrade sugar beet pulp.

Results

Protein synthesis and secretion show distinct patterns across the A. niger colony depending on carbon source complexity

Sandwiched colonies of A. niger were grown on minimal medium, containing 1% SBP as a carbon source (see Supplementary Fig. S1 online). A. niger was inoculated at a central point and the mycelium extended by radial growth so that the colony centre represents the oldest hyphae and the periphery is made up of the newly formed hyphae. The fungus cannot penetrate the membrane and therefore the gene expression is limited to the colony on top of the membrane. However, extracellular proteins can cross the membrane therefore the gene expression is limited to the colony on top of the membrane. However, extracellular proteins can pass the membrane and degrade the polymeric substrates into monomers that support fungal growth, indicating an efficient diffusion of the resulting monosaccharides to the fungal colony. After 5 days growth the diameter of each colony was approximately 5.5 cm, equaling a growth rate of around 1 cm per day which is similar to that observed by Levin et al. using mono- and disaccharides as carbon sources5. Five concentric zones were arbitrarily distinguished in the sandwiched colony. Zone 1 (Z1) was the innermost and oldest part of the colony, with a diameter of 1.5 cm. Zone 2 (Z2) consisted of the part of the colony between 1.5 and 2.5 cm, zone 3 (Z3) between 2.5 and 3.5 cm, zone 4 (Z4) between 3.5 and 4.5 cm, and zone 5 (Z5) between 4.5 and 5.5 cm. The outer border of zone 5 constituted the actively extending edge of the colony at day 5. The spatial distribution of protein synthesis and protein secretion across the colony was determined by labeling with a mixture of 14C-amino acids, either before (for synthesis) or after (for secretion) washing the fungal mycelium (Fig. 1). During growth on xylose, protein secretion occurred at the periphery of the colonies only (Fig. 1a) whereas protein synthesis occurred throughout the entire colony (Fig. 1b). Interestingly, when A. niger was grown on sugar beet pulp, both protein synthesis and secretion occurred throughout the colony (Fig. 1c,d). The clear difference observed between protein secretion on monosaccharides (xylose, maltose) and on the complex carbon sources comprising sugar beet pulp led us to further study the influence of the carbon source on the physiology of the mycelial colony.

Figure 1. Protein synthesis and secretion.

Figure 1

Protein synthesis (a,c), and protein secretion (b,d) in 5-day-old- sugar beet pulp- and xylose-grown sandwiched colonies (respectively left and right) of A. niger. Protein synthesis and protein secretion were localized by incorporation of 14C-labeled amino acids. Secreted proteins were detected by placing a protein binding PVDF membrane under the colony. Lane numbers indicate the concentric wells of the zone plate, lanes 1 and 5 representing the most central and peripheral zones, respectively.

Genes are differentially expressed across the A. niger colony grown on sugar beet pulp

To determine genome-wide gene expression differences across the A. niger colony grown on sugar beet pulp we used hybridization of probes derived from mRNA from the five concentric zones to Affymetrix A. niger GeneChips (see Materials and methods). Genome-wide principal component analysis (PCA) of gene expression on duplicate samples showed that the five concentric zones can be clearly distinguished into distinct groups corresponding to spatial locations (see Supplementary Fig. S2 online). The total gene expression sets were compared pairwise through zone 5 to zone 1 using one-way ANOVA. While ~92% (13298) of the genes showed constant expression levels throughout the colony, 1144 genes were differentially expressed (p < 0.05 and fold change >=2). Furthermore, the distribution of differentially expressed genes showed a clear spatial-related pattern: the further the physical distance between the zones, the greater the number of differentially expressed genes and the larger the average fold changes in gene expression (Fig. 2, see Supplementary Table 1, and Supplementary Fig. S3 online). The highest number and average fold change values were found in the comparison of the most peripheral zone 5 with the central zones, particularly zone 1. The most distinguishing comparison among neighboring zones was found between zone 5 and zone 4.

Figure 2. Distribution of differentially expressed genes.

Figure 2

Plant polysaccharides degrading genes are expressed with a different pattern across the colony

Pectin (43 genes)

Pectin is the most diverse and complex plant cell wall polysaccharide and requires several enzymatic activities (glycoside hydrolase, polysaccharide lyase and carbohydrate esterase) to be converted into monosaccharides. As sugar beet pulp contains up to 32% pectin, it is a good inducer of pectinase production. In the A. niger CBS 513.88 genome, 62 genes from 14 enzyme families are predicted as pectinolytic genes9. In this study, 43 pectinolytic genes (69%) showed significant expression (Table 1). Genes from most of the pectinolytic CAZy families are expressed including the five activities present in the GH28 family (PGA, PGX, RHG, RGX, XGH). The expression profiles differ from the center (Z1) to the periphery (Z5) and can be divided into 3 categories. 23 genes showed decreased expression from Z1 to Z5, 12 genes showed constant expression and 8 genes showed increased expression from Z1 to Z5. Both endo-activities and exo-activities are present in the different zones of the colony as well as genes targeting the different structures of pectins. Thereby, different isoforms are present or different genes encoding the same enzymatic activity are expressed throughout the mycelium. For example two genes encoding endoarabinanase (GH43) are highly expressed in the central part of the colony, whereas two other GH43 ABNs show a constant expression throughout the five zones. Similarly, one gene encoding a pectin lyase (PL1) is highly expressed at the centre of the colony, two PL1s are highly expressed at the periphery and one PL1 is constantly expressed throughout the colony. Thus isoforms of pectin lyases and endo-1,5-alpha-arabinanase were expressed throughout the whole colony. GH28 contains several members, for which the expression profiles can be divided into the three categories, highly expressed at the centre, highly expressed at the periphery of the colony or expressed throughout the whole colony (Table 1). Sugar beet pectin is esterified by feruloyl moieties, either as single ferulic acid substitutions or in the form of ferulic acid dehydrodimers (diFAs)10. In our conditions, the genes encoding feruloyl esterase A, B, and putative feruloyl esterases C, D and E showed constant expression. faeA and faeE are moderately expressed while faeB and faeD are expressed at low levels (Table 2). Remarkably, the three GH78 (α-L-rhamnosidase) showed a decrease from the centre to the periphery or constant expression throughout the colony.

Table 1. Pectinolytic genes.
UniqueID Annotation CAZy family Fold change R5 over R1
Higher expression at the centre of the colony
 An03g02080 putative exopolygalacturonase pgaX GH28 0.063
 An03g06740 putative exo-alpha 1,4-polygalacturonase PGX1 GH28 0.092
 An12g00950 rhamnogalacturonase rhgA GH28 0.121
 An05g02440 polygalacturonase III precursor pgaC GH28 0.126
 An11g04040 putative exo-alpha 1,4-polygalacturonase PGX1 GH28 0.330
 An01g14670 polygalacturonase E precursor pgaE GH28 0.422
 An18g04810 putative exo-polygalacturonase PGX from patent WO9414966-A GH28 0.475
 An04g09700 putative endo-xylogalacturonan hydrolase xghA GH28 0.482
 An01g11520 polygalacturonase pgaI GH28 0.518
 An01g14650 putative exo-alpha 1,4-polygalacturonase PGX1 GH28 0.549
 An14g05820 putative beta-galactosidase lacA GH35 0.303
 An06g00290 putative beta-galactosidase lacA GH35 0.337
 An09g01190 endo 1,5-alpha-arabinanase abnA GH43 0.388
 An02g10550 putative endo-alpha-1,5-arabinanase abnA GH43 0.264
 An08g01710 putative alpha-L-arabinofuranosidase abfA GH51 0.399
 An18g05940 putative arabinogalactan endo-1,4-beta-galactosidase gal1 GH53 0.385
 An01g06620 putative alpha-L-rhamnosidase A precursor rhaA GH78 0.529
 An09g02160 rhamnogalacturonan acetyl esterase rgaeA CE12 0.216
 An04g09360 putative hypothetical protein CC0812 CE12 0.120
 An04g09690 putative pectin methylesterase pme1 CE8 0.307
 An14g01130 putative rhamnogalacturonase B precursor rhgB PL4 0.319
 An11g00390 putative rhamnogalacturonase rhiE PL4 0.511
 An15g07160 putative pectin lyase pelA PL1 0.555
Higher expression at the periphery of the colony
 An09g03260 endo-polygalacturonase D pgaD GH28 1.816
 An02g04900 endopolygalacturonases pgaB GH28 3.262
 An15g05370 polygalacturonase pgaII GH28 2.496
 An16g06990 endo-polygalacturonase A pgaA GH28 10.57
 An01g10350 putative secreted beta-galactosidase lacA GH35 2.409
 An01g00330 alpha-l-arabinofuranosidase a precursor abfA GH51 2.951
 An03g06310 pectin methylesterase pmeA CE8 4.101
 An03g00190 pectin lyase pelB PL1 2.046
 An19g00270 pectin lyase pelD PL1 4.322
Constant expression through the colony
 An12g07500 putative exopolygalacturonase pgaX GH28 0.672
 An02g12450 putative polygalacturonase XOPG1 GH28 0.967
 An06g02070 putative rhamnogalacturonase rhgA GH28 1.094
 An14g04200 rhamnogalacturonase rhgB GH28 1.146
 An01g12150 beta-galactosidase lacA GH35 0.749
 An16g02730 putative endo 1,5-alpha-arabinase abnA from patent EP506190-A GH43 0.725
 An02g01400 putative endo-alpha-1,5-arabinanase abnA GH43 0.863
 An15g02300 arabinofuranosidase B abfB GH54, CBM42 0.823
 An04g09070 putative alpha-L-rhamnosidase ramA GH78 0.783
 An18g04800 putative alpha-L-rhamnosidase A precursor rhaA GH78 1.223
 An14g02920 putative hypothetical conserved protein yesR GH105 0.708
 An14g04370 pectin lyase pelA PL1 1.094
Table 2. Cellulose, xylan and xyloglucan degrading genes.
UniqueID Annotation CAZy family Fold change R5 over R1
Higher expression at the centre of the colony
   An11g02100 putative furostanol glycoside 26-O-beta-glucosidase CSF26G1 GH1 0.229
   An03g03740 putative beta-glucosidase bgl4 GH1 0.431
   An17g00520 putative beta-glucosidase precursor BGLUC GH3 0.158
   An11g06080 putative beta-glucosidase 1 bgl1 GH3 0.301
   An14g01770 putative beta-glucosidase bgln GH3 0.511
   An17g00300 putative bifunctional xylosidase-arabinosidase xarB GH3 0.625
   An01g11670 putative endo-beta-1,4-glucanase A eglA GH5, CBM1 0.061
   An07g08950 endoglucanase B eglB GH5 0.158
   An08g01760 putative cellulase from patent WO9733982-A1 GH6 0.287
   An15g04550 putative xylanase A xynA from patent WO200068396-A2 GH11 0.519
   An01g00780 endo-1,4-xylanase xynB GH11 0.564
   An01g03340 putative xyloglucan-specific endo-beta-1,4-glucanase GH12 0.570
   An06g00170 alpha-galactosidase aglA GH27, CBM13 0.620
   An14g05820 putative beta-galactosidase lacA GH35 0.303
   An06g00290 putative beta-galactosidase lacA GH35 0.337
   An02g00140 putative xylan 1,4-beta-xylosidase xynB GH43 0.620
   An08g01710 putative alpha-L-arabinofuranosidase abfA GH51 0.399
   An08g05230 putative hypothetical endoglucanase IV GH61 0.506
   An01g01870 putative hypothetical Avicelase III aviIII GH74, CBM1 0.239
   An16g00540 putative large secreted protein GH95 0.566
   An14g02670 putative endoglucanase IV egl4 AA9 0.314
   An15g04570 putative endoglucanase IV AA9 0.446
   An12g05010 acetyl xylan esterase axeA CE1 0.253
   An07g03100 putative Esterase E CE1 0.5825
Higher expression at the periphery of the colony
   An03g05380 similarity to cellulase FI-CMCase GH12 1.720
   An01g01320 putative alpha-galactosidase agal GH27 1.586
   An01g10350 putative secreted beta-galactosidase lacA GH35 2.409
   An09g00260 alpha-galactosidase aglC GH36 7.282
   An09g00270 alpha-galactosidase aglC GH36 9.079
   An01g00330 alpha-l-arabinofuranosidase a precursor abfA GH51 2.952
Constant expression through the colony
   An18g03570 beta-glucosidase bgl1 GH3 0.863
   An15g01890 putative beta-glucosidase precursor bgl2 GH3 0.918
   An01g09960 xylosidase xlnD GH3 1.069
   An08g01100 putative exo-1,3-beta-glucanase KlEXG1 GH5 0.732
   An16g06800 putative endoglucanase eglB GH5, CBM1 0.759
   An16g02100 putative hypothetical protein YIR007w GH5 0.796
   An03g01050 putative endo-beta-1,4-glucanase GH5 0.975
   An11g07660 putative exo-1,3-beta-glucanase Xog GH5 1.193
   An03g00940 endo-1,4-beta-xylanase A precursor xynA GH10 1.015
   An01g14600 putative endo-1,4-beta-xylanase B xynB from patent WO9414965 GH11 0.848
   An14g02760 endoglucanase A eglA GH12 1.170
   An03g05530 putative endo-beta-1,4-glucanase EGIII-like from patent WO9931255-A2 GH12 1.209
   An02g11150 alpha-galactosidase aglB GH27 0.767
   An14g01800 putative alpha-galactosidase GH27 0.711
   An09g03300 putative alpha-xylosidase XylS GH31 1.218
   An01g12150 beta-galactosidase lacA GH35 0.749
   An11g03120 similarity to endo-1,4-beta-xylanase XynD GH43 0.720
   An08g10780 putative hypothetical protein T16K5.230 GH43, CBM35 0.697
   An15g02300 arabinofuranosidase B abfB GH54, CBM42 0.823
   An03g00960 1,4-beta-D-arabinoxylan arabinofuranohydrolase axhA GH62 0.919
   An14g05800 alpha-glucuronidase aguA GH67 0.780
   An15g04900 putative endoglucanase IV egl4 AA9 0.910
   An09g00120 ferulic acid esterase A faeA CE1 0.941

Cellulose, xylan and xyloglucan (52 genes)

Cellulose consists of a linear polymer of glucose units connected by a β-1,4-acetal bond. The enzymes activities involved in cellulose degradation are cellobiohydrolase (CBH), β-1,4-D-glucosidase (BGL), β-1,4-D-endoglucanase (EGL) and lytic polysaccharide mono-oxygenase (LPMO). Amongst the 25 A. niger CBS 513.88 genes involved in cellulose degradation11, 21 were significantly expressed (84%). Six genes encoding BGL (GH1 and GH3) and four genes encoding EGL (GH5 and GH6) were highly expressed at the centre of the colony while one gene encoding EGL (GH12) was more highly expressed at the periphery and eight genes encoding BGL (GH3 and GH5) and two genes encoding EGL (GH12) showed constant expression throughout the mycelium. One gene encoding a LPMO (AA9, formerly GH61) was constantly expressed throughout the colony whereas two genes encoding AA9 were more highly expressed at the centre (Table 2). Thus, as described for the pectinolytic genes, different genes encoding the same enzymatic activity are present throughout the mycelium. Xylan and xyloglucan are components of hemicellulose. No less than 23 CAZy families participate in the degradation of these complex polysaccharides12. Thirteen genes involved in xylan and /or xyloglucan degradation are more highly expressed at the centre of the colony including two genes encoding respectively for an α-L-fucosidase (GH95) and an acetyl xylan esterases (CE1). L-fucose is a terminal sugar in xyloglucans, which are present in sugar beet pulp, although at small amounts. Despite the paucity of L-fucose in sugar beet pulp, α-L-fucosidase activity might be important to achieve complete decomposition of polysaccharides13. Five genes are more highly expressed at the periphery and 13 genes show a constant expression from Z1 to Z5.

Starch and galactomannan (9 and 7 genes)

Sugar beet is a tuber and contains two storage polysaccharides, starch and galactomannan. Starch is degraded by α-amylase (GH13), α-1,4-glucosidase (GH31) and glucoamylase (GH15). Amongst the nine genes encoding starch degrading enzymes expressed on sugar beet pulp, three were highly expressed at the periphery, three were highly expressed at the center and three were constantly expressed throughout the mycelial colony (Table 3). Galactomannan is degraded by β-1,4-mannosidase (GH2), β-1,4-endomannanase (GH5, 26), β-1,4-galactosidase (GH2, 35) and α-1,4-galactosidase (GH27, 36). Eight galactomannan related genes were expressed on sugar beet pulp, two showed elevated expression at the center, two were highly expressed at the periphery and three were constantly expressed throughout the mycelial colony (Table 4). Interestingly, α-1,4-galactosidases are also known to be active on α-galactose from xylan and therefore participate in xylan degradation.

Table 3. Starch degrading genes.
UniqueID Annotation CAZy Family Fold change R5 over R1
Higher expression at the centre of the colony
   An01g06120 putative 4-alpha-glucanotransferase/amylo-1,6-glucosidase Gdb1 GH13 0.434
   An02g13240 putative alpha-1-6-glucosidase glcA GH13 0.546
   An01g04880 putative alpha-glucosidase II GH31 0.210
Higher expression at the periphery of the colony
   An11g03340 acid alpha-amylase GH13 4.037
   An01g10930 putative enzyme with sugar transferase activity from patent JP11009276-A GH31 1.740
   An04g06920 extracellular alpha-glucosidase aglU GH31 5.480
Constant expression through the colony
   An04g06930 putative extracellular alpha-amylase amyA/amyB GH13 0.903
   An03g06550 glucan 1,4-alpha-glucosidase glaA GH15, CBM20 1.299
   An09g05880 putative alpha-glucosidase ModA GH31 1.481
Table 4. Galactomannan degrading genes.
UniqueID Annotation CAZy Family Fold change R5 over R1
Higher expression at the centre of the colony
  An06g00170 alpha-galactosidase aglA GH27, CBM13 0.612
  An05g01320 putative mannase man1 GH5 0.651
Higher expression at the periphery of the colony
  An01g01320 An09g00260 putative alpha-galactosidase agal GH27 1.586
  An09g00270 alpha-galactosidase aglC GH36 9.079
Constant expression through the colony
  An14g01800 putative alpha-galactosidase GH27 0.710
  An02g11150 alpha-galactosidase aglB GH27 0.766
  An04g02700 alpha-galactosidase GH36 0.942

Genes involved in carbon metabolism are constantly expressed across the colony

Hexoses and pentoses resulting from sugar beet pulp breakdown by A. niger are metabolized through glycolysis, pentose catabolic pathway and pentose phosphate pathway as well as alternative glucose oxidase and dehydrogenase pathways. In our conditions, ~80% of the genes involved in these pathways showed a constant expression profile across the five zones. The same pattern was observed for the five genes of the D-galacturonic acid pathway (see Supplementary Table 2 online). Notably, genes from the L-rhamnose pathway did not show constant expression across the colony. L-rhamnose is mainly present in rhamnogalacturonan type I and type II within pectin polymers. 7.1% of the total sugar composition of sugar beet pectin is L-rhamnose9. Homologous gene clusters related to L-rhamnose metabolism were found by bioinformatics14. A L-rhamnose utilization transcription regulator in A. niger (RhaR, An13g00910) was later identified15 and a putative catabolic pathway established in A. niger (An03g00040, An13g00920, An13g00930 and An13g00940)16. Three out of the four genes involved in the putative L-rhamnose catabolic pathway showed significant differential expression with a decreasing expression profile from the centre to the periphery of the colony (Z1 to Z5). The activator RhaR remains constantly expressed throughout the colony.

To be taken up by the fungal cell, the sugars released by enzymatic hydrolysis of the sugar beet pulp polysaccharides must be transported across the plasma membrane. Interestingly, several sugar transporters were differentially expressed through the colony. Six hexose transporters were more highly expressed at the periphery whereas nine were more highly expressed at the centre of the mycelial colony (see Supplementary Table 1 online).

Genes involved in nitrogen utilization are differentially regulated across the colony

The sugar beet pulp growth media contained 10 mM nitrate, added as the predominant nitrogen source, as well as a mixture of organic and inorganic nitrogen sources inherently present in the pulp. To determine how A. niger utilized the available nitrogen sources we examined expression of 199 genes with known or predicted roles in nitrogen utilization or nitrogen regulation throughout the five colony zones during growth on sugar beet pulp. 90 of the 199 genes showed at least 1.5-fold change with a confidence level of 95% between the centre of the colony (Z1) and the periphery (Z5). While the majority of nitrogen metabolic genes did not show differential expression between the centre and the periphery, 16 metabolic genes showed 1.5-fold or greater decreased expression at the periphery and 32 genes showed 1.5-fold or more increased expression at the periphery (see Supplementary Table 3 online). Approximately half of the transporter genes showed no difference in expression between Z1 and Z5. However, twelve of 43 transporter genes showed increased expression and nine genes showed decreased expression in zone 5 compared with the central zone 1. Although 16 transcription factors involved in regulation of nitrogen metabolic genes did not show differential expression, one transcription factor, the global nitrogen transcription activator AreA (An12g08960)17, showed higher expression at the colony centre.

Nitrate is the most abundant nitrogen source in sugar beet pulp media. In A. niger, nitrate is thought to be taken up by a single transporter, CrnA, and then converted to ammonium via nitrite by nitrate reductase (NiaD) and nitrite reductase (NiiA)18. We found that the A. niger nitrate transporter An08g05670 (crnA) and the nitrate utilization pathway genes An08g05610 (niaD) and An08g05640 (niiA) were up-regulated at the colony periphery, and An08g05670 and An08g05610 also showed higher expression in zones 3 and 4, compared to the centre of the colony. These observations are consistent with nitrate utilization occurring at the growing edge and outer zones of the colony, and may suggest a preference for nitrate by actively growing or new hyphae. No change in expression of the pathway-specific nitrate transcription activator ortholog An18g02330 (nirA) was observed, consistent with increased expression of nitrate utilization genes occurring in response to increased crnA nitrate transporter expression and increased inducer (nitrate) uptake at the colony edge.

We also investigated genes involved in the utilization of other nitrogen sources. We found higher levels of expression at the periphery for An08g03200, the homolog of the A. nidulans high affinity ammonium transporter MepA. Increased peripheral expression was also observed for predicted proline, urea and allantoin transporters, An11g06150 (orthologous to A. nidulans prnB19, An01g03790 (orthologous to A. nidulans ureA20 and An08g06240 (orthologous to A. nidulans furA21, suggesting that these compounds are either being utilized in addition to nitrate or actively scavenged at the colony edge. In contrast, several nitrogen signaling genes, including the autophagy genes An04g03950 (atg1) and An07g10020 (atg8)22 and An11g11320 (atg4)23, showed increased expression in the centre of the colony. An02g14410, the ortholog of the major low affinity, high capacity ammonium transporter MeaA24,25 also showed elevated expression in zone 1.

Genes related to fungal growth with a high differential expression across the colony

Interestingly, the gene An04g03980 encoding a protein very similar to a C2H2-type zinc finger protein Mhy1p showed a 2.5 fold decrease in zone 5. Mhy1p in Yarrowia lipolytica regulates filamentous growth and is involved in cell differentiation26. Moreover, one chitin synthase was more highly expressed at the periphery where the mycelium is newly formed but four chitin synthases were more highly expressed at the centre of the colony where the mycelium is older (see Supplementary Table 1 online). The thioredoxin reductase TrxB (An01g02500) was highly expressed through the five zones with an increased expression at the periphery. The expression and production of thioredoxin reductase is known to be induced on starch27. A. nidulans TrxB is involved in metabolic activity and constitutively active during germination28.

Genes encoding proteases are more highly expressed at the periphery of the colony

Sixty-two (putative) extracellular proteases were predicted by orthology search with the data from Budak et al.29 (see Supplementary Table 4 online). Thirty genes were evenly expressed across the colony and eighteen genes were not significantly expressed. However, fourteen out of the sixty-two genes showed a higher expression at the periphery. The most significantly differentiated gene encodes the aspartic protease protG5,30 (An12g03300). Other genes encoding characterized proteases, are pepA31 (An14g04710), An02g0469032, protF(An03g05200), pepF33 (An07g08030), protA34 (An08g04490), protB5 (An08g04640) and pepB (An01g00530). These results confirm that the expression of the genes encoding for protein degradation is strongly influenced by the composition of the medium as previously described by Levin et al.5.

The secreted protein profile correlates with measured enzyme activities

Sugar beet pulp is a good inducer of protein production due to its rich content in polysaccharides. We investigated the secreted proteins from the five zones using proteomics and by measuring enzyme activities. Amongst the 146 proteins identified, 31 are pectinases, 21 are hemicellulases and 4 are cellulases (see Supplementary Table 5 online). Moreover, we measured the activities of six enzymes related to plant cell wall degradation: α-arabinofuranosidase (ABF), β-xylosidase (BXL), β-galactosidase, (LAC), β-cellobiohydrolase (CBH), glucoamylase (GLA), mannosidase (MND), β-glucosidase (BGL) and α-galactosidase (AGL) (Fig. 3). The profile of the measured enzyme activities through the five zones of the colony correlates to the abundance profile of the corresponding secreted enzymes detected in the supernatant. While most enzyme activities showed a constant profile across the colony the two highest activities measured, α-arabinofuranosidase and α-galactosidase decreased from the centre to the periphery. In A. niger, seven genes encode α-galactosidase An06g00170 (aglA), An02g11150 (aglB), An01g01320, An14g01800, An11g06330, An09g00260/ An09g00270 (aglC) and An04g0270011, four genes encode α-arabinofuranosidase An01g00330, An08g01710, An09g00880 (abfA) and An15g02300 (abfB)35,36 . The proteins encoded by the An15g02300 and An06g00170 genes showed decreased abundance from Z1 to Z5 and correspond with α-arabinofuranosidase activity (Fig. 4).

Figure 3. Cellulases and hemicellulases activities.

Figure 3

Figure 4. α-L-Arabinofuranosidase activity and abundance in the five zones.

Figure 4

Discussion

The separation of a mycelial colony into five concentric zones allows comparison of the young mycelium exploring fresh sugar beet pulp with the older mycelium growing on partially utilized sugar beet pulp. Utilization of sugar beet pulp, as a complex substrate, requires a diverse array of plant cell wall degrading enzymes. Many of the genes encoding these enzymes showed differential expression patterns across the mycelial colony. The patterns of expression for each enzyme family were likely dictated by both substrate availability and the age of the mycelium (young or older mycelium). For instance, of the four genes encoding α-L-arabinofuranosidase, one showed the highest expression at the centre of the colony while a second showed the highest expression at the periphery, and the two other genes were not significantly expressed in our experimental conditions. The result of this differential regulation is expression of Abf activity throughout the colony; however the Abf substrate specificity and enzyme activity may differ in different zones. Our analysis of α-L-arabinofuranosidase activity showed decreased activity from the inner zone to the outer zone of the colony correlating with reduced abundance of the protein detected from zone 1 to zone 5. This differential regulation of gene expression and the corresponding changes in enzyme activity highlight the ability of different parts of the A. niger colony to adapt to heterogeneous substrates. Surprisingly, in our experimental conditions, the feruloyl esterase B was constantly but lowly expressed throughout the colony. FaeB activity was initially identified from the supernatant of A. niger grown in sugar beet pulp and the production of the enzyme has been shown to be induced by pectin37,38.

Protein synthesis and protein secretion were not localized in a particular zone during growth on sugar beet pulp but occur throughout the colony. Our results contrast starkly with a similar study conducted on the simple sugars xylose or maltose5, where protein secretion occurred only at the periphery of the colony. Levin and coworkers’ results correlated with carbon limitation in the inner zones of the mycelial colony grown on monosaccharides and disaccharides. In contrast, carbon nutrients are not limiting on sugar beet pulp. Furthermore, microarray analysis of the transcripts expressed in the five colony zones revealed that although genes encoding plant cell wall degrading enzymes are expressed throughout the colony, specific genes show differential expression between the different growth zones.

Contrasting with the differential expression of plant cell wall degrading enzyme genes, the expression levels of genes involved in central carbon metabolism, including the hexose and pentose catabolic pathways, were similar across the colony. Other pathway specific genes, such as those of the D-galactose catabolic pathway were also expressed at similar levels throughout the colony. The constant expression of these core carbon metabolic genes is consistent with the efficient release of monosaccharides from sugar beet pulp by cell wall degrading enzymes. One exception is the L-rhamnose pathway genes, which are more highly expressed in the colony centre. The genes encoding for α-L-rhamnosidases (GH78), that release L-rhamnose from sugar beet pulp, showed the same expression profile, suggesting an adapted response to locally available monosaccharides. In addition to carbon metabolism being fine-tuned for the sugar beet media we saw differential expression of nitrogen metabolism genes. The genes required for use of the most abundant nitrogen source, nitrate, were more highly expressed at the periphery, consistent with nitrate utilization by the extending hyphae, however the expression of certain genes for uptake of alternative nitrogen sources at the periphery suggests foraging for proline, urea and allantoin from the unexplored substrate. The same trend of elevated nitrate utilization gene expression at the periphery was observed on xylose and on maltose, where no significant decrease in nitrate was detected in the colonized portion of the growth media (Levin et al. 2007), confirming the spatial expression of these genes is carbon source-independent. In contrast to xylose or maltose, the availability of the carbon source from sugar beet pulp is not limited during the five days of growth. The local composition of the substrate is certainly modified by the fungus. Depletion of some nutrients in the central zone where the consumption of the medium by the mycelium is the highest together with an evenly active carbon metabolism across the colony, illustrate the richness of sugar beet pulp as a nutrient source.

Our analysis of gene expression showed the differential regulation of many genes encoding enzymes across the fungal colony. While genes encoding the same or related enzymatic activity showed differential expression across the colony, the combination of these genes resulted in the enzyme activity being present throughout the whole mycelium. However, as the specific properties of the iso-enzymes (e.g. substrate specificity, pH optimum and stability) may differ, hydrolysis of different linkages of the substrate may occur in different zones. Thus, it can be concluded that A. niger differentially uses the enzymatic tools in its repertoire to adapt its metabolism as it colonizes complex environments. These insights participate in understanding sequential steps in saccharification of plant biomass using A. niger commercial enzymes and may further be used to improve enzymatic cocktails.

Methods

Gene annotation

Annotation of the A. niger open reading frames (ORFs) has been described by Pel et al.39. The Supplementary information present the ORF names of genes whose expressions have been described in our article.

Growth conditions

A. niger N402 (cspA1)40 was grown at 30 °C under constant light in water-saturated air. Colonies were grown as a sandwiched culture41 in 9-cm petri dishes in a 0.2-mm thin layer of 1.25% agarose in between two perforated polycarbonate membranes (diameter, 76 mm; pore size, 0.1 μm; Osmonics, GE Water Technologies, Trevose, PA) placed on top of solidified (1.5% agar) minimal medium (7) with 1% sugar beet pulp as a carbon source or in liquid minimum medium contained in a ring plate. A ring plate consists of a polycarbonate disc (9 cm in diameter, 1.2 cm thick) with six ring-shaped wells. The inner two rings are collectively called ring 1 because of their small volume, and the outer ring is called ring 5. The wells are separated by 0.1 cm and are 0.5 cm deep and 0.5 cm wide.

Sandwiched cultures were inoculated with 1.5 μl of spore suspension (108 spores/μl) and harvested after 5 days of growth (when the mycelial colony reaches the edge of the petri dish). The spore suspension concentration was estimated using a Malassez counting chamber. For each replicate, the mycelium and medium of four colonies were pooled.

Detection of growth, protein synthesis, and protein secretion

Growth, protein synthesis, and protein secretion were monitored as described previously42. Sandwiched colonies were labeled with 185 kBq of [14C]N-acetylglucosamine (specific activity, 2.04 gBq/mmol; Amersham Biosciences, United Kingdom) for 10 min to detect growth. Protein synthesis and secretion were monitored by labeling with 185 kBq of a mixture of 14C-labeled amino acids (specific activity, 189 gBq/milliatom; Amersham Biosciences, United Kingdom) for 4 h. When colonies were labeled on solid medium, a protein binding polyvinylidene difluoride (PVDF) membrane was placed under the sandwiched culture to immobilize the secreted proteins. Label was adsorbed to a piece of rice paper and placed on top of the sandwiched culture. In cases of colonies placed on a ring plate, the label was applied directly in the medium or adsorbed to rice paper as described above. After being labeled, colonies were fixed with 4% formaldehyde. Fixed colonies and PVDF membranes were washed three times for 60 min with either 0.44 mM N-acetylglucosamine or 1% Casamino Acids, dried, and exposed to Kodak Biomax XAR film (Kodak Industrie, France). Labeled proteins in the culture medium of ring plates were separated on 10% sodium dodecyl sulfate (SDS)-phosphonoacetic acid gels and fixed with 45% methanol, 10% acetic acid. After the gel was enhanced with Amplify (Amersham Biosciences, United Kingdom), it was dried and exposed to Kodak Biomax XAR film (Kodak Industrie, France).

RNA isolation

Mycelium was ground using a microdismembrator (B. Braun GmBh, Melsungen, Germany), and RNA was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA) according to the instructions of the manufacturer. The RNA was purified using a Nucleospin RNA cleanup kit (Macherey-Nagel GmBh, Düren, Germany). The concentration of RNA was measured at A260. The quality of the RNA was analyzed with an Agilent 2100 bioanalyzer, using an RNA6000 LabChip kit (Agilent Technology, Palo Alto, CA).

Microarray analysis

Biotin-labeled antisense cDNA was generated by labeling 20 or 2 μg of total RNA with a BioArray high-yield RNA transcription labeling kit (ENZO) or an Affymetrix eukaryotic one-cycle target labeling and control reagent package, respectively. The quality of the cDNA was checked using the Agilent 2100 bioanalyzer. The labeled cDNA was hybridized to Affymetrix A. niger GeneChips (Affymetrix, Santa Clara, CA). The coding sequence of the annotated genome of CBS513.8839 was taken as the sequence template. Oligonucleotide probes were designed with 600-bp fragments, starting from the 3’ end of the gene. The probe sets consist of 12 pairs (match and mismatch) of 25-bp oligonucleotide probes, which are scattered across the chip. Arrays were hybridized with three independently obtained RNA samples of the peripheries of 5-day-old sandwiched cultures grown on sugar beet pulp. Microarray data has been deposited in the Gene Expression Omnibus database43 (Accession No. GSE66641).

Micro-array data was analyzed using the Bioconductor tool package version 2.8 (http://www.bioconductor.org/) together with house-made Perl (version.5.0) and Python (version 3.0) scripts. Utilizing the R statistical language and environment, the probe intensities were normalized for background by the robust multiarray average (RMA) method which makes use of only the perfect match (PM) probes44. Further, normalization was processed by quantiles algorithm, and with the medianpolish summary method the gene expression values were calculated from the PM probes. Genes with expression value lower than 15 (median) were considered not significantly expressed and the ones higher than 170 (top 10%) were considered highly expressed (see Supplementary Table 6, online).

Further statistical analyses were applied to the normalized gene expression data using the CyberT tool package. BayesAnova tests were performed on each gene through paizone carbon sources. Adjusted cut-off value of P < 0.05 and fold change >=2 was used to determine the statistical significance of gene expression difference.

Gene orthology search, extracellular protease prediction, expression clustering and visualization

Gene orthology search was performed by OrthoMCL45 by the parameters of E-value 1E−10, inflation level 1 and sequence coverage 40%. Extracellular proteins were predicted by combining Phobius46, SignalP47, PrediSi48, CELLO49, MultiLOC50 and WoLF-PSORT51 with majority votes. Default settings of each SCL predictor were used, with the species parameter as “Eukaryotic” or “Fungi”. Putative proteases, inclusive the inhibitor information, were retrieved by AspGD gene annotation repository and literature researches. Protein functional domain prediction was performed by HMMER v.3.052 using the complete Pfam-A and Pfam-B models (data retrieved from Pfam database, version November 2012) with the trust cutoff and the gathering cutoff. The resulting Pfam predictions were pooled. Hierarchical clusters were made using the normalized expression data from selected genes by calculating the pearson’s correlation distances. Clusters and expression correlation profiles were visualized by Genesis53. Genes with expression value lower than 50 were colored dark blue, the ones higher than 1000 were colored red and the values in-between were colored gradient between these 2 colors.

Proteomics

Protein separation and digestion

Samples were 4 times concentrated using a vacuum concentrator (Thermo Scientific, Bremen) and 30 μl of each of the samples were run on a 12% Bis-Tris 1D SDS-PAGE gel (Biorad) for 2–3 cm and stained with colloidal coomassie dye G-250 (Gel Code Blue Stain Reagent, Thermo Scientific). The lane was cut into two bands, which were treated with 6.5 mM dithiothreitol (DTT) for 1 h at 60 °C for reduction and 54 mM iodoacetamide for 30 min for alkylation. The proteins were digested overnight with trypsin (Promega) at 37 °C. The peptides were extracted with 100% acetonitrile (ACN) and dried in a vacuum concentrator.

Mass spectrometry: RP-nanoLC-MS/MS

The data was acquired using an LTQ-Orbitrap Discovery coupled to an Agilent 1200.

Peptides were first trapped (Dr Maisch Reprosil C18, 3 um, 2 cm × 100 um) before being separated on an analytical column (50 um × 400 mm, 3 um, 120 Å Reprosil C18-AQ). Trapping was performed at 5 μl/min for 10 min in solvent A (0.1 M acetic acid in water), and the gradient was as follows; 10 - 37% solvent B in 30 min, 37–100% B in 2 min, 100% B for 3 min, and finally solvent A for 15 min. Flow was passively split to 100 nl/min. Data was acquired in a data-dependent manner, to automatically switch between MS and MS/MS. Full scan MS spectra from m/z 350 to 1500 were acquired in the Orbitrap at a target value of 5e5 with a resolution of 30,000 at m/z 400. The five most intense ions were selected for fragmentation in the linear ion trap at a normalized collision energy of 35% after the accumulation of a target value of 10,000. The data was normalized for volume per mg biomass.

Data analysis

Raw files were processed using Proteome Discoverer 1.3 (version 1.3.0.339, Thermo Scientific, Bremen, Germany). Database search was performed using A. niger Mascot (version 2.4.1, Matrix Science, UK) as the search engine. Carbamidomethylation of cysteines was set as a fixed modification and oxidation of methionine was set as a variable modification. Trypsin was specified as enzyme and up to two miss cleavages were allowed. Data filtering was performed using percolator, resulting in 1% false discovery rate (FDR). Additional filters were; search engine rank 1 peptides and Mascot ion score >20. Raw files corresponding to one sample were merged into one result file. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium54 via the PRIDE partner repository with the dataset identifier PXD002130.

Additional Information

How to cite this article: Benoit, I. et al. Spatial differentiation of gene expression in Aspergillus niger colony grown for sugar beet pulp utilization. Sci. Rep. 5, 13592; doi: 10.1038/srep13592 (2015).

Supplementary Material

Supplementary Information
srep13592-s1.pdf (377KB, pdf)
Supplementary Table 1
srep13592-s2.xls (4.7MB, xls)
Supplementary Table 2
srep13592-s3.xls (64KB, xls)
Supplementary Table 4
srep13592-s4.xls (71.5KB, xls)
Supplementary Table 5
srep13592-s5.xls (109.5KB, xls)
Supplementary Table 6
srep13592-s6.xls (26KB, xls)

Acknowledgments

IB was supported by a grant of the Dutch Technology Foundation STW, Applied Science division of NWO and the Technology Program of the Ministry of Economic Affairs UGC 07938 to RPdV. MZ was supported by a grant from the Netherlands Organisation for Scientific Research (NWO) and the Netherlands Genomics Initiative 93511035 to RPdV. The data analysis was partially carried out on the Dutch national e-infrastructure with the support of SURF Foundation. AVD was supported by grants of the Dutch Technology Foundation STW, Applied Science division of NWO and the Technology Program of the Ministry of Economic Affairs UGC 07063 to RPdV. This work is also part of the project Proteins At Work, financed by the Netherlands Organisation for Scientific Research (NWO) as part of the National Roadmap Large-scale Research Facilities of the Netherlands (project number 184.032.201). DJD was supported by the Kansas State University Plant Biotechnology Center and a Kansas NSF EPSCoR First Award EPS-0903806 to RBT. This is contribution number 15-305-J from the Kansas Agricultural Experiment Station.

Footnotes

Author Contributions I.B. wrote the main manuscript text, I.B. and M.Z. prepared the figures and tables. I.B., A.V.D., W.K., H.P., A.J.R.H. and A.F.M.A. performed the experiments. I.B., M.Z., D.D., R.T., R.P.d.V. analysed the data. All authors reviewed the manuscript.

References

  1. Aanen D. K. How a long-lived fungus keeps mutations in check. Science 346, 922–923 (2014). [DOI] [PubMed] [Google Scholar]
  2. Bendel M., Kienast F. & Rigling D. Genetic population structure of three Armillaria species at the landscape scale: a case study from Swiss Pinus mugo forests. Mycol. Res. 110, 705–712 (2006). [DOI] [PubMed] [Google Scholar]
  3. Raz S. et al. Growth and asymmetry of soil microfungal colonies from "Evolution Canyon," Lower Nahal Oren, Mount Carmel, Israel. PLoS One 7, e34689 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Vinck A. et al. Hyphal differentiation in the exploring mycelium of Aspergillus niger. Mol. Microbiol. 58, 693–699 (2005). [DOI] [PubMed] [Google Scholar]
  5. Levin A. et al. Spatial differentiation in the vegetative mycelium of Aspergillus niger. Eukaryot. cell 6, 2311–2322 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Sun R. & Hughes S. Fractional extraction and physico-chemical characterization of hemicelluloses and cellulose from sugar beet pulp. Carbohyd. Polym. 36, 293–299 (1998). [Google Scholar]
  7. Coughlan M. P. et al. Energy from biomass: Saccharification of beet pulp using fungal enzymes. Ann. N.Y. Acad. Sci. 469, 294–303 (1986). [Google Scholar]
  8. Edwards M. & Doran-Peterson J. Pectin-rich biomass as feedstock for fuel ethanol production. Appl. Microbiol. Biotechnol. 95, 565–575 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Benoit I. et al. Degradation of different pectins by fungi: correlations and contrasts between the pectinolytic enzyme sets identified in genomes and the growth on pectins of different origin. BMC Genomics 13, 321 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Abang Z., Dayang N. & Meyer A. S. Oxidative enzymatic gelation of sugar beet pectin for emulsion stabilization. Res. J. BioTechnol. 8, 81–86 (2013). [Google Scholar]
  11. Coutinho P. M. et al. Post-genomic insights into the plant polysaccharide degradation potential of Aspergillus nidulans and comparison to Aspergillus niger and Aspergillus oryzae. Fungal Genet. Biol. 46 Suppl 1, S161–S169 (2009). [DOI] [PubMed] [Google Scholar]
  12. Culleton H., McKie V. & de Vries R. P. Physiological and molecular aspects of degradation of plant polysaccharides by fungi: What have we learned from Aspergillus? Biotechnol. J 8, 884–894 (2013). [DOI] [PubMed] [Google Scholar]
  13. Paper J. et al. α-Fucosidases with different substrate specificities from two species of Fusarium. Appl. Microbiol. Biotechnol 97, 5371–5380 (2013). [DOI] [PubMed] [Google Scholar]
  14. Watanabe S., Saimura M. & Makino K. Eukaryotic and Bacterial Gene Clusters Related to an Alternative Pathway of Nonphosphorylated L-Rhamnose Metabolism. J. Biol. Chem. 283, 20372–20382 (2008). [DOI] [PubMed] [Google Scholar]
  15. Gruben B. S. et al. Aspergillus niger RhaR, a regulator involved in L-rhamnose release and catabolism. Appl. Microbiol. Biotechnol. 98, 5531–5540 (2014). [DOI] [PubMed] [Google Scholar]
  16. Khosravi C., Benocci T., Battaglia E., Benoit I. & de Vries R. P. Sugar catabolism in Aspergillus and other fungi related to the utilization of plant biomass. Advances Appl. Microbiol. 90, 1–28 (2015). [DOI] [PubMed] [Google Scholar]
  17. MacCabe A. P. et al. Identification, cloning and sequence of the Aspergillus niger areA wide domain regulatory gene controlling nitrogen utilisation. Biochim. Biophys. Acta. 1396, 163–168 (1998). [DOI] [PubMed] [Google Scholar]
  18. Unkles S. E. et al. The Aspergillus niger niaD gene encoding nitrate reductase: upstream nucleotide and amino acid sequence comparisons. Gene 111, 149–155 (1992). [DOI] [PubMed] [Google Scholar]
  19. Sophianopoulou V. & Scazzocchio C. The proline transport protein of Aspergillus nidulans is very similar to amino acid transporters of Saccharomyces cerevisiae. Mol. Microbiol. 3, 705–714 (1989). [DOI] [PubMed] [Google Scholar]
  20. Abreu C., Sanguinetti M., Amillis S. & Ramon A. UreA, the major urea/H+ symporter in Aspergillus nidulans. Fungal Genet. Biol. 47, 1023–1033 (2010). [DOI] [PubMed] [Google Scholar]
  21. Amillis S., Hamari Z., Roumelioti K., Scazzocchio C. & Diallinas G. Regulation of expression and kinetic modeling of substrate interactions of a uracil transporter in Aspergillus nidulans. Mol. Membr. Biol. 24, 206–214 (2007). [DOI] [PubMed] [Google Scholar]
  22. Jørgensen T. R. et al. Transcriptomic Insights into the Physiology of Aspergillus niger Approaching a Specific Growth Rate of Zero. Appl. Environm. Microbiol 76, 5344–5355 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Nitsche B., Jorgensen T., Akeroyd M., Meyer V. & Ram A. The carbon starvation response of Aspergillus niger during submerged cultivation: Insights from the transcriptome and secretome. BMC Genomics 13, 380 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Monahan B. J., Askin M. C., Hynes M. J. & Davis M. A. Differential Expression of Aspergillus nidulans Ammonium Permease Genes Is Regulated by GATA Transcription Factor AreA. Eukaryot. cell 5, 226–237 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Monahan B. J., Fraser J. A., Hynes M. J. & Davis M. A. Isolation and Characterization of Two Ammonium Permease Genes, meaA and mepA, from Aspergillus nidulans. Eukaryot. cell 1, 85–94 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hurtado C. A. R. & Rachubinski R. A. YlBMH1 encodes a 14-3-3 protein that promotes filamentous growth in the dimorphic yeast Yarrowia lipolytica. Microbiol. 148, 3725–3735 (2002). [DOI] [PubMed] [Google Scholar]
  27. Lu X. et al. The intra- and extracellular proteome of Aspergillus niger growing on defined medium with xylose or maltose as carbon substrate. Microb. Cell Fact. 9, 23 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Oh Y. T. et al. Proteomic analysis of early phase of conidia germination in Aspergillus nidulans. Fungal Genet. Biol. 47, 246–253 (2010). [DOI] [PubMed] [Google Scholar]
  29. Budak S. O. et al. A genomic survey of proteases in Aspergilli. BMC Genomics 15, 523 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Morya V. K., Yadav S., Kim E. K. & Yadav D. In silico characterization of alkaline proteases from different species of Aspergillus. Appl. Biochem. Biotechnol. 166, 243–257 (2012). [DOI] [PubMed] [Google Scholar]
  31. Mattern I. E. et al. Isolation and characterization of mutants of Aspergillus niger deficient in extracellular proteases. Mol. Gen. Genet. 234, 332–336 (1992). [DOI] [PubMed] [Google Scholar]
  32. de Oliveira J. M., van Passel M. W., Schaap P. J. & de Graaff L. H. Proteomic analysis of the secretory response of Aspergillus niger to D-maltose and D-xylose. PLoS One 6, e20865 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. van den Hombergh J. P., Jarai G., Buxton F. P. & Visser J. Cloning, characterization and expression of pepF, a gene encoding a serine carboxypeptidase from Aspergillus niger. Gene 151, 73–79 (1994). [DOI] [PubMed] [Google Scholar]
  34. Braaksma M., Martens-Uzunova E. S., Punt P. J. & Schaap P. J. An inventory of the Aspergillus niger secretome by combining in silico predictions with shotgun proteomics data. BMC Genomics 11, 584 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Flipphi M. J. A., van Heuvel M., van der Veen P., Visser J. & de Graaff L. H. Cloning and characterisation of the abfB gene coding for the major α-L-arabinofuranosidase (AbfB) of Aspergillus niger. Curr. Genet. 24, 525–532 (1993). [DOI] [PubMed] [Google Scholar]
  36. Flipphi M. J. A., Visser J., van der Veen P. & de Graaff L. H. Cloning of the Aspergillus niger gene encoding α-L-arabinofuranosidase A. Appl. Microbiol. Biotechnol. 39, 335–340 (1993). [DOI] [PubMed] [Google Scholar]
  37. Faulds C. B. & Williamson G. Ferulic acid esterase from Aspergillus niger: purification and partial characterization of two forms from a commercial source of pectinase. Biotechnol. Appl. Biochem. 17, 349–359 (1993). [PubMed] [Google Scholar]
  38. Kroon P. A., Faulds C. B. & Williamson G. Purification and characterisation of a novel esterase induced by growth of Aspergillus niger on sugar-beet pulp. Biotechnol. Appl. Biochem. 23, 255–262 (1996). [PubMed] [Google Scholar]
  39. Pel H. J. et al. Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88. Nat. Biotech. 25, 221–231 (2007). [DOI] [PubMed] [Google Scholar]
  40. Bos C. J. et al. Genetic analysis and the construction of master strains for assignment of genes to six linkage groups in Aspergillus niger. Curr. Genet. 14, 437–443 (1988). [DOI] [PubMed] [Google Scholar]
  41. Levin A. M., de Vries R. P. & Wosten H. A. Localization of protein secretion in fungal colonies using a novel culturing technique; the ring-plate system. J. Microbiol. Methods 69, 399–401 (2007). [DOI] [PubMed] [Google Scholar]
  42. Wösten H. A. B., Mouhka S. M., McLaughlin P. M. J., Sietsma J. H. & Wessels J. G. H. Localization of growth and excretion of proteins in Aspergillus niger. J. Gen. Microbiol. 137, 2017–2023 (1991). [DOI] [PubMed] [Google Scholar]
  43. Barrett T. & Edgar R. Gene expression omnibus: microarray data storage, submission, retrieval, and analysis. Methods Enzymol. 411, 352–369 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Irizarry R. et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4, 249–264 (2003). [DOI] [PubMed] [Google Scholar]
  45. Li L., Stoeckert C. J. Jr. & Roos D. S. OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 13, 2178–2189 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Kall L., Krogh A. & Sonnhammer E. L. Advantages of combined transmembrane topology and signal peptide prediction–the Phobius web server. Nucleic Acids Res. 35, W429–432 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Petersen T. N., Brunak S., von Heijne G. & Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat. Methods 8, 785–786 (2011). [DOI] [PubMed] [Google Scholar]
  48. Hiller K., Grote A., Scheer M., Munch R. & Jahn D. PrediSi: prediction of signal peptides and their cleavage positions. Nucleic Acids Res. 32, W375–379 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Yu C. S., Lin C. J. & Hwang J. K. Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions. Protein Sci. 13, 1402–1406 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Hessmann M. H. et al. Internal fixation of fractures of the proximal humerus with the MultiLoc nail. Oper. Orthop. Traumatol 24, 418–431 (2012). [DOI] [PubMed] [Google Scholar]
  51. Horton P. et al. WoLF PSORT: protein localization predictor. Nucleic Acids Res. 35, W585–587 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Johnson L. S., Eddy S. R. & Portugaly E. Hidden Markov model speed heuristic and iterative HMM search procedure. BMC Bioinformatics 11, 431 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Sturn A., Quackenbush J. & Trajanoski Z. Genesis: cluster analysis of microarray data. Bioinformatics 18, 207–208 (2002). [DOI] [PubMed] [Google Scholar]
  54. Vizcaino J. A. et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat. Biotechnol. 32, 223–226 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information
srep13592-s1.pdf (377KB, pdf)
Supplementary Table 1
srep13592-s2.xls (4.7MB, xls)
Supplementary Table 2
srep13592-s3.xls (64KB, xls)
Supplementary Table 4
srep13592-s4.xls (71.5KB, xls)
Supplementary Table 5
srep13592-s5.xls (109.5KB, xls)
Supplementary Table 6
srep13592-s6.xls (26KB, xls)

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES