Transcriptomic comparison of Aspergillus niger growing on two different sugars reveals coordinated regulation of the secretory pathway
© Jørgensen et al; licensee BioMed Central Ltd. 2009
Received: 14 October 2008
Accepted: 23 January 2009
Published: 23 January 2009
The filamentous fungus, Aspergillus niger, responds to nutrient availability by modulating secretion of various substrate degrading hydrolases. This ability has made it an important organism in industrial production of secreted glycoproteins. The recent publication of the A. niger genome sequence and availability of microarrays allow high resolution studies of transcriptional regulation of basal cellular processes, like those of glycoprotein synthesis and secretion. It is known that the activities of certain secretory pathway enzymes involved N-glycosylation are elevated in response to carbon source induced secretion of the glycoprotein glucoamylase. We have investigated whether carbon source dependent enhancement of protein secretion can lead to upregulation of secretory pathway elements extending beyond those involved in N-glycosylation.
This study compares the physiology and transcriptome of A. niger growing at the same specific growth rate (0.16 h-1) on xylose or maltose in carbon-limited chemostat cultures. Transcription profiles were obtained using Affymetrix GeneChip analysis of six replicate cultures for each of the two growth-limiting carbon sources. The production rate of extracellular proteins per gram dry mycelium was about three times higher on maltose compared to xylose. The defined culture conditions resulted in high reproducibility, discriminating even low-fold differences in transcription, which is characteristic of genes encoding basal cellular functions. This included elements in the secretory pathway and central metabolic pathways. Increased protein secretion on maltose was accompanied by induced transcription of > 90 genes related to protein secretion. The upregulated genes encode key elements in protein translocation to the endoplasmic reticulum (ER), folding, N-glycosylation, quality control, and vesicle packaging and transport between ER and Golgi. The induction effect of maltose resembles the unfolded protein response (UPR), which results from ER-stress and has previously been defined by treatment with chemicals interfering with folding of glycoproteins or by expression of heterologous proteins.
We show that upregulation of secretory pathway genes also occurs in conditions inducing secretion of endogenous glycoproteins – representing a more normal physiological state. Transcriptional regulation of protein synthesis and secretory pathway genes may thus reflect a general mechanism for modulation of secretion capacity in response to the conditional need for extracellular enzymes.
The black-spored mitosporic fungus, Aspergillus niger, is specialized to grow on plant cell wall- and storage-polysaccharides such as xylans, pectins, starch and inulin [1, 2]. It does so by secreting high levels of a wide range of substrate degrading enzymes into its habitat. Enzyme mediated degradation of plant polysaccharides results in liberation of monomeric carbohydrates, which are efficiently taken up and metabolised by the fungus. The inherent high enzyme secretion capacity of A. niger and its high productivity of organic acids, like citric acid, has made it an interesting organism to study processes such as protein production and primary metabolism [3, 4]. Members of the genus Aspergillus, including A. niger, are also reputed for biosynthetic potential of a variety of mycotoxins , such as the carcinogenic aflatoxins [6, 7] and ochratoxins  and, as discovered recently in A. niger, also the carcinogenic fumonisins [3, 9].
In eukaryotic cells, protein secretion involves ER-associated translation, folding and modification of proteins, which are then transported via vesicles to the Golgi apparatus or other compartments for further modification. The mature glycoproteins are finally transported with secretory vesicles to the cell membrane and secreted into the environment. The components and mechanisms of the secretory pathway in eukaryotes are highly conserved. Main elements of the secretory pathway in fungi and mammals are described in recent reviews [10–13]. A genomic comparison of genes encoding secretory pathway components in A. niger, Saccharomyces cerevisiae and mammals has not revealed major differences in the number of genes involved in protein secretion and the analysis did not explain why A. niger is a more efficient secretor of extracellular proteins than the yeast S. cerevisiae . However, it has been shown that activity of certain secretory pathway enzymes involved N-glycosylation is elevated in response to overexpression of the glycoprotein glucoamylase in A. niger . There is also a positive correlation between glucoamylase expression and activity of glycosylation enzymes when comparing growth on maltodextrin, which induces glucoamylase expression, to growth on xylose, which is a non-inducing carbon source . These observations suggest that A. niger can adapt the activity of at least parts of its secretory pathway to handle the increased load of secreted proteins induced by a given environment. In the present work, we have investigated whether carbon source dependent enhancement of protein secretion can lead to upregulation of secretory pathway elements, which extend beyond those involved in N-glycosylation.
Consequently, we have compared transcriptomic profiles of A. niger cultures, expressing the endogenous glucoamylase gene, growing on a glucoamylase-inducing carbon source, maltose, to profiles from cultures growing on xylose (non-inducing). We have used carbon-limited chemostat cultivation to control the specific growth rate (μ) during growth on the two different carbon sources and to obtain highest reproducibility in well defined culture conditions.
We show that the rate of protein secretion is 2–3 times higher on maltose compared to xylose, and that the increased protein secretion by A. niger on maltose is accompanied by upregulation of transcription of more than 90 genes encoding elements of the secretory pathway. Most of the upregulated secretory pathway elements reside in the ER or are involved in vesicle trafficking between ER and Golgi. The transcriptional response to maltose resembled the unfolded protein response (UPR) induced by diverse types of artificial ER-stress . We suggest that the transcriptional regulation of the secretory pathway is part of a physiological mechanism, which has evolved to allow varying output of substrate degrading enzymes.
Results and discussion
Physiology of xylose- or maltose-limited chemostat cultures of A. niger
Physiology in chemostat culture.
(mmol g-1 h-1)
(mg g-1 h-1)
4.06 ± 0.07
233 ± 6
0.54 ± 0.02
1.35 ± 0.04
3.40 ± 0.11
3.36 ± 0.14
1.01 ± 0.02
0.68 ± 0.01
98 ± 2
3.96 ± 0.07
256 ± 18
0.53 ± 0.01
1.32 ± 0.03
3.41 ± 0.10
3.42 ± 0.10
1.00 ± 0.01
0.72 ± 0.02
101 ± 3
3.68 ± 0.08*
160 ± 5
0.52 ± 0.01
1.23 ± 0.03*
2.92 ± 0.05*
3.38 ± 0.14
0.87 ± 0.05*
1.98 ± 0.28*
101 ± 1
3.68 ± 0.12*
158 ± 24
0.52 ± 0.02
1.23 ± 0.04*
2.84 ± 0.17*
3.57 ± 0.27
0.80 ± 0.10*
1.69 ± 0.24*
97 ± 2
The results listed in Table 1 summarize steady state physiology of xylose- and maltose-limited chemostat cultures. The reproducibility of the triplicate cultures was very high. The coefficient of variation (CV) of steady state biomass concentrations was approximately 0.02 for both carbon sources. While replicate variability was low, there were marked differences between cultures grown on xylose or maltose. Notably, specific productivity of extracellular protein (qprotein-EC) was 2 to 3 fold higher on maltose than on xylose, indicating increased protein-secretory activity of maltose-limited cultures. The biomass yield on carbon (YxC) was lower on maltose, probably at the expense of increased product formation. The carbon concentration in the culture filtrate and the acidification rate of maltose-limited cultures were higher compared to xylose-limited cultures (results not shown). These observations, taken together with a respiratory quotient (RQ) lower than 1 of maltose-limited cultures, most likely reflect higher productivity of organic acids in addition to increased protein secretion on maltose.
Reproducibility of steady state gene-expression
Nine other genes with a CV higher than 1 were all more expressed in a replicate culture of AB94-85 (culture "#95") on maltose. These genes are all part of the putative fumonisin gene cluster in A. niger . In total, twelve genes in the fumonisin gene homolog cluster were expressed on maltose [see Additional file 2]. This appears to correspond to all homologous genes needed for biosynthesis of fumonisins in Fusarium verticillioides. Recently, Frisvad et al.  reported of fumonisin B2 production by progenitors of three genome sequenced A. niger strains, including the source of the strains in this study (A. niger N400). The variable transcription of homologs in a putative mycotoxin gene cluster demonstrates the need for careful evaluation of a given strain s mycotoxin-producing ability.
Carbon source dependent gene expression
Xylose utilisation metabolic genes with significantly higher expression on xylose compared to maltose.
encoded enzyme (homolog)
xylulokinase (Xks1 – S. cerevisiae)
Pentose phosphate pathway – nonoxidative phase:
transketolase (Tkl1 – S. cerevisiae)
transaldolase (Tal1 – S. cerevisiae)
transaldolase (TalB – Synechocystis sp.)
glucose-6-phosphate isomerase (Pgi1 – S. cerevisiae)
Pentose phosphate pathway – oxidative phase:
The 10, most highly and differentially expressed, secreted-carbohydrase genes on xylose or maltose.
encoded enzyme (homolog)
High expression on maltose (maltose/xylose):
High expression on xylose (xylose/maltose):
Differential expression of secretory pathway genes.
homologous protein in S. cerevisiae
fold difference maltose/xylose
Translocation to ER:
SRP14 (YDL092w) – signal recognition particle SU
signal sequence receptor, αSU ( Botryotinia fuckeliana )
SEC61 (YLR378c) – SEC61 complex SU
SSS1 (YDR086c) – SEC61 complex SU
SEC63 (YOR254c) – SEC63 complex SU
SEC62 (YPL094c) – SEC63 complex SU
SEC66 (YBR171w) – SEC63 complex SU
Cleavage of signal sequence:
SPC2 (YML055w) – signal peptidase complex SU
SPC3 (YLR066w) – signal peptidase complex SU
SEC11 (YIR022w) – signal peptidase complex SU
DPM1 (YPR183w) – dolichol phosphate mannose synthase
dolichyl-phosphate mannosyltransferase (B. fuckeliana)
ALG5 (YPL227c) – dolichyl-phosphate glucosyltransferase
ALG7 (YBR243c) – N-acetyl-glucosaminephosphotransferase
ALG2 (YGL065c) – mannosyltransferase
mannose-phosphate-dolichol utilization protein (Mus musculus)
ALG9 (YNL219c) – mannosyltransferase
ALG6 (YOR002w) – glucosyltransferase
RFT1 (YBL020w) – flippase
OST1 (YJL002c) – oligosaccharyltransferase complex, αSU
WBP1 (YEL002c) – oligosaccharyltransferase complex, βSU
OST2 (YOR103c) – oligosaccharyltransferase complex, εSU
OST3 (YOR085w) – oligosaccharyltransferase complex, γSU
STT3 (YGL022w) – oligosaccharyltransferase complex, SU
MNS1 (YJR131w) – class I α-mannosidase
class I α-mannosidase (Aspergillus fumigatus)
ER glucosyl hydrolase, Edem (A. fumigatus)
HOC1 (YJR075w) – α-1,6-mannosyltransferase
PMT4 (YJR143c) – O -mannosyltransferase
MNT2 (YGL257c) – α-1,3-mannosyltransferase
GDA1 (YEL024w) – guanosine diphosphatase
PDI1 (YCL043c) – protein disulfide isomerase
thioredoxin domain protein, TXNDC5 (Homo sapiens)
protein disulfide isomerase
MPD1 (YOR288c) – protein disulfide isomerase
ERO1 (YML130c) – thiol oxidase
HUT1 (YPL244c) – UDP-galactose transporter
FAD1 (YDL045c) – FAD synthase
KAR2 (YJL034w) – ER chaperone
ERJ5 (YFR041c) – ER located DNA-J protein
LHS1 (YKL073w) – ER lumen Hsp70 chaperone
FPR2 (YDR519w) – peptidyl-prolyl isomerase
Trimming and quality control of N-glycosylated folded proteins:
CWH41 (YGL027c) – alpha glucosidase I
ROT2 (YBR229c) – glucosidase II, αSU
GTB1 (YDR221w) – glucosidase II, βSU
CNE1 (YAL058w) – calnexin
Vesicular transport of proteins between ER and Golgi:
SEC13 (YLR208w) – COPII complex SU
SEC31 (YDL195w) – COPII complex SU
SEC24 (YIL109c) – COPII complex SU
SEC23 (YPR181c) – COPII complex SU
EMP24 (YGL200c) – COPII vesicle membrane component
ERP1 (YAR002c-a) – COPII vesicle component
ERP3 (YDL018c) – p24 family protein
EMP47 (YFL048c) – COPII vesicle membrane component
ERV29 (YGR284c) – glycoprotein cargo receptor
vesicular integral-membrane protein ( Pyrenophora tritici-repentis )
BET1 (YIL004c) – v-SNARE
BOS1 (YLR078c) – v-SNARE
USO1 (YDL058w) – SNARE complex assembly protein
RAD50-interacting protein 1 (M. musculus)
centromere protein ZW10 (Gallus gallus)
GSG1 (YDR108w) – TRAPP complex SU
BET4 (YJL031c) – geranylgeranyltransferase, α SU
ERV41 (YML067c) – involved in COPII vesicle fusion
ERV46 (YAL042w) – involved in COPII vesicle fusion
RUD3 (YOR216c) – Golgi-matrix protein
ARF2 (YDL137w) – ADP-ribosylation factor
SEC7 (YDR170c) – guanine nucleotide exchange factor
GEA2 (YEL022w) – guanine nucleotide exchange factor on ARF
COP1 (YDL145c) – COPI complex, α SU
SEC21 (YNL287w) – COPI complex, γ SU
SEC28 (YIL076w) – COPI complex, ε SU
SEC26 (YDR238c) – COPI complex, β SU
SEC27 (YGL137w) – COPI complex, β ' SU
RER1 (YCL001w) – retention of ER membrane proteins
RER2 (YBR002c) – retention of ER membrane proteins
ERD2 (YBL040c) – ER retention HDEL-receptor
Other processes in the secretory pathway:
AGE2 (YIL044c) – ARF GTPase activating protein effector
SEC14 (YMR079w) – phosphatidylinositol/-choline transfer protein
CHC1 (YGL206c) – clathrin, heavy chain
APL2 (YKL135c) – β-adaptin
VPS4 (YPR173c) – vacuolar protein sorting AAA-ATPase
VPS33 (YLR396c) – vacuolar protein sorting
VPS16 (YPL045w) – vacuolar protein sorting
VPS52 (YDR484w) – vacuolar protein sorting
AMS1 (YGL156w) – vacuolar α-mannosidase
EMP70 (YLR083c) – conserved endosomal membrane protein
SEC10 (YLR166c) – exocyst complex SU
EXO70 (YJL085w) – exocyst complex SU
BFR1 (YOR198c) – component of mRNP complex
STE24 (YJR117w) – zinc metalloprotease
microtubule binding protein HOOK3 (A. fumigatus)
Protein misfolding (UPR and ER associated degradation):
TRL1 (YJL087c) – tRNA ligase
GCN4 (YEL009c) – bZIP transcription factor
protein kinase inhibitor p58 ( Rattus norvegicus )
ORM1 (YGR038w) – conserved ER protein
DER1 (YBR201w) – involved in ER associated protein degradation
HRD1 (YOL013c) – ubiquitin-protein ligase
HRD3 (YLR207w) – ubiquitin-protein ligase
UBC7 (YMR022w) – ubiquitin conjugating enzyme
HLJ1 (YMR161w) – DnaJ co-chaperone
In the carbon metabolism category were also genes encoding secreted carbohydrases (Table 3). Highly expressed genes on maltose include genes encoding the acid amylase (AamA), glucoamylase (GlaA) and the alpha-glucosidase (AgdA), enzymes which have also been identified as highly induced genes, when grown on maltose in batch cultures . On maltose, glaA displayed the highest transcript level of all genes. Array signals and Northern blot analysis indicated that probes for glaA were saturated, resulting in an underestimation of fold difference [see Additional file 4]. The list of highly-induced genes on xylose, contains enzymes involved in xylan degradation. Induction of xlnD, eglA and aguA by xylose in a XlnR-dependent way have been described . High expression of axlA on xylose supports its proposed function as an alpha-xylosidase . Strong induction of xynB on xylose has not been reported before, but its function as an endo-xylanase fits well with its expression profile.
Lipid and sterol biosynthesis and fatty acid metabolic genes also constituted a large group in differentially expressed metabolic genes [Additional file 5]. Perhaps most striking in this group, was the 12-fold increase in transcript level on maltose of a highly expressed and apparently secreted lipase (An16g01880; FDR = 2.9·10-4). In general, several genes involved in biosynthesis of ergosterol and phospholipids were upregulated on maltose, while inositol and choline biosynthesis genes were downregulated. Among these genes, we find a homolog of ino1 (An10g00530), encoding inositol-1-phosphate synthase, a key enzyme in inositol biosynthesis in S. cerevisiae. The differential expression of genes in this category indicate changes (proliferative and/or compositional) in membrane components or energy storage. Intermediates of phospholipid and inositol metabolic pathways also play important roles in cell signalling and global regulatory pathways .
Maltose induces expression of secretory pathway genes
Maltose induces transcription of at least 90 defined secretory pathway genes (Table 4), consistent with higher productivity of extracellular protein and very high expression-level of glucoamylase observed in maltose-limited chemostat cultures (Table 1 and 3). We could only identify a few genes (six) in the secretory pathway, which were higher expressed on xylose (Table 4). Among the genes with most significant (FDR ≤ 0.005) higher transcript level on maltose are those encoding essential subunits of the Sec61/-63 translocation complex; subunits of the signal peptidase complex; N-glycosylation enzymes like dolichol-phosphate-mannosyl flippase and most subunits of the oligosaccharyltransferase (OST) complex; important chaperones and foldases (bipA, pdiA and clxA) with well characterized functions in A. niger [10, 21, 22]; calnexin (clxA) is involved in folding and quality control of N-glycosylated proteins together with glucosidase I and II, which also display some of the most significant upregulation. The transcriptomic profiles support the recent phylogenetic prediction  that An09g05580 encodes the alpha subunit of glucosidase II; since the significance, fold difference (maltose/xylose) and expression level of this ORF is almost identical to the known beta-subunit, while these variables are quite different in the five other candidate ORFs given by Pel et al. . ER-associated degradation (ERAD) is represented among genes with maltose-induced transcription. ER to Golgi vesicular transport of glycosylated proteins is upregulated on maltose, shown by higher transcript levels of genes encoding key COPII coat proteins and lectin cargo receptor proteins.
Genes involved in retrograde vesicular transport (COPI coatamers) and recycling of ER proteins are also higher expressed, and together with upregulation of ER associated degradation (ERAD) of glycoproteins genes, this suggest a general increase in capacity of at least the ER related processes in the secretory pathway. The functions, upregulated during higher protein secretion on maltose, are thus mainly localised in the proximal part of the secretory pathway. Whereas, there was little differential expression of genes encoding components in the more distal parts of the secretory pathway, i.e. trans-Golgi, late secretory vesicles and exocytosis, and endocytosis (Table 4).
It has been suggested, that efficient protein secretion in filamentous fungi may be obtained through existence of alternative secretory pathways . Our study, on the other hand, suggests that A. niger can adapt the secretory capacity by transcriptional regulation of central processes in synthesis, folding and transport of glycoproteins to permit efficient secretion of extracellular proteins, like e.g. glucoamylase (even at wild type levels of secretion). This conclusion is consistent with the observation that the activities of three N-glycosylation enzymes(N-acetylglucosaminyl phosphate transferase, dolichol phosphoglucosyl synthase and dolichol phosphomannosyl synthase) are 2–3 folds higher at growth on maltose-containing medium (maltodextrin) of a glucoamylase hyper-producing A. niger strain compared to a wild type strain . Furthermore, the hyper-producing strain displays wild type activity (low) of N-acetylglucosaminyl phosphate transferase, when both strains are cultivated on xylose , which is non-inducing for glaA expression. Some notable analogies to maltose-induction of secretory pathway genes and glaA expression in A. niger were observed by Saloheimo et al.  in the filamentous fungus Trichoderma reesei. They showed that expression of pdi-1 is induced by cellulose and that this correlates with increased expression of cellulase genes and secretion of their gene-products. In mammals it has been observed that glucose induces expression of several secretory pathway genes in pancreatic β-cells . Furthermore, differentiation into a dedicated secretory cell (e.g. a plasma cell), involves concerted transcriptional upregulation of the secretory pathway via the unfolded protein response (UPR). This phenomenon has been termed a physiological UPR. It is mediated by the master regulator of secretion, Xbp1, which is an ortholog of the Hac1 UPR-regulator in fungi [26, 27]. From the functional classification and subcellular localization of differentially expressed genes, it is concievable that similar changes take place in the maltose-limited cultures of A. niger.
Comparison with ER-stress and UPR in fungi
In S. cerevisiae, the UPR effect on gene transcription has been described for induction with the chemical ER-stressors, DTT and tunicamycin , and forced expression of the active form of the UPR transcription factor, Hac1p . A common response to ER-stress in yeast and growth on maltose (this study), is transcriptional upregulation of genes involved in ER-associated processes, such as translocation, N-glycosylation, ERAD and anterograde vesicle transport. The present study even adds to the list of ER-associated genes which are upregulated in response to increased load on the secretory pathway (Table 4). Kitama et al.  reported that the UPR led to down-regulation of 15 genes. Of these, a ferrous iron transporter homolog (An01g08960) was significantly lower expressed on maltose (fold difference maltose/xylose = 0.07, FDR = 3.7·10-4).
UPR in S. cerevisiae does not seem to induce transcription of genes involved in trimming and quality control of glycoproteins or in retrograde vesicular transport of proteins from Golgi to ER [28, 29]. Travers et al.  suggested, that this observation indicates that the UPR in S. cerevisiae functions to relieve stress – not to mediate a general increase in secretion capacity. This is in contrast to the present study, where calnexin, subunits of glucosidase I and II and several genes involved in retrograde transport were consistently upregulated during growth on maltose (Table 4). A common theme of the UPR is also changes in transcription of lipid and inositol metabolism. Although growth on maltose led to many significant changes in transcription of both lipid and inositol pathway genes, the changes did not resemble those induced by UPR in S. cerevisiae [28, 29]. Transcription of ino1 was upregulated during constitutive Hac1p-induced UPR , while the homolog (An10g00530) of this gene was down-regulated in A. niger growing on maltose. However, similar observations of ino1 transcription have been made in S. cerevisiae strains with secretory pathway defects, which induce the UPR .
A recent extensive study of the UPR in A. niger  defined common transcriptional responses to treatment with the chemicals, tunicamycin or DTT, and forced secretion of a heterologous protein; conditions, which lead to accumulation of unfolded proteins and ER-stress. The three types of ER-stress induced expression of many genes encoding major functions in the secretory pathway. The 11 genes induced by all three ER-stress conditions  were all higher expressed on maltose in this study. In fact, of the genes listed in Table 4, 29 are represented in the list of 34 secretory pathway genes induced by two or all three of the above mentioned stress conditions. Comparing the functions encoded by the ER-stress-induced genes to those with increased expression on maltose, we find that most of the 29 genes are involved in processes early in the protein secretion pathway. These functions are similar to the yeast UPR response and encompass subunits of the translocation complex, signal peptidase, N-glycosylation proteins, foldases and chaperones. In addition to the yeast profiles, calnexin and glucosidase I and II subunits were also upregulated by ER-stress in A. niger. Interestingly, a homolog (An11g11250) of the mammalian interferon induced protein kinase, p58IPK, was significant higher expressed both on maltose (Table 4) and in two of the three previously described ER-stress conditions . In mammals, Xbp1 enhances expression of p58IPK. This has been suggested as a mechanism to antagonise PERK-mediated repression of global protein synthesis during physiological UPR in secretory cells . A. niger lacks an obvious homolog of PERK. It consequently seems probable, that the target of the p58IPK-like protein is a homolog of another mammalian protein kinase, like PKR (in Homo sapiens) . The protein encoded by the A. niger PKR-homolog (An17g00860) has high identity (31% over 1682 residues) to the protein kinase, Gcn2p, in S. cerevisiae. It has been shown in other ascomycete fungi, that Gcn2p homologs have roles in regulation of global protein synthesis and cell cycle progression [32, 33]. It is tempting to speculate that p58IPK in A. niger can exert derepression of protein synthesis through a homolog of Gcn2p. In S. cerevisiae, Gcn2p plays additional role as a positive regulator of translation of the amino acid starvation transcription factor Gcn4p, which apparently regulates transcription of many UPR induced genes . In our study, CpcA (An01g07900), a homolog of Gcn4p, was down-regulated on maltose, much in contradiction with its putative function as positive regulator of transcription of several UPR target genes in the secretory pathway. The differential expression of key elements of the UPR, such as homologs of p58IPK and Gcn4p (CpcA), suggests that upregulation of the secretory pathway on maltose occurs via Gcn4p-independent mechanisms.
There were clear differences between the UPR induced by artificial ER-stressors , and the physiological response to maltose. For example, during artificially induced ER-stress, very few genes, encoding ERAD, COPII and especially COPI vesicular transport proteins, were commonly upregulated. Guillemette et al.  also observed changes in expression of fatty acid and lipid metabolism genes. One gene (An02g13420) with similarity to an acetyl-coenzyme A transporter was consistently upregulated in all three stress conditions and during growth on maltose; again indicating relation between lipid metabolism and the secretory pathway. This similarity is in contrast to the remaining of the differentially expressed genes in this category; of the seven genes down-regulated by ER-stress we observed four upregulated on maltose. This included the on maltose highly-expressed, secreted or organelle-associated, lipase (An16g01880). This gene was upregulated during ER-stress caused by expression of a heterologous protein, but not in presence of DTT or tunicamycin . A homolog of erg24, a gene involved in ergosterol biosynthesis in S. cerevisiae, was opposite many other putative ergosterol biosynthesis genes down-regulated on maltose, and its transcription was also lower during expression of the heterologous protein . This shows that although the ER-stress responses share a core of similarly expressed functions, expression of other functions are specific to the nature of the ER-stress.
UPR – part of a differentiation programme in development of high secretion capacity?
Despite many similarities to the fungal ER-stress responses defined by treatment with harsh chemicals or constitutive active expression of the UPR transcription factor, Hac1, or of heterologous proteins, the physiological state of the fungal cells in our study was very different as maltose induced overall protein secretion and transcription of highly expressed hydrolases. Notably, differences in expression of genes in lipid metabolism and in protein synthesis show clear differences between maltose-induced transcription of secretory pathway genes and the chemical-induced UPR. This indicates that what looks like a response to secretion stress, may reflect a more general mechanism not only to alleviate accumulation of unfolded proteins in more extreme conditions, but also to modulate secretion capacity in response to the conditional need for extracellular enzymes. The higher expression level of secretory pathway genes on maltose resembles physiological UPR as described in mammalian cells with high secretion activity a feature which could partly explain why filamentous fungi are efficient enzyme secretors. However, the HacA transcription factor is an integral part of the UPR, and simple evaluation of splicing of HacA mRNA, using RT-PCR [Additional file 7], did not reveal a difference between growth on maltose or xylose nor was there any difference in transcription of hacA. This indicates that the carbon source dependent differential expression of secretory pathway genes involves additional factors than HacA.
This investigation not only presents supporting evidence for a concerted transcriptional regulation of many secretory pathway genes, but also a challenging task with respect to identification of key regulators. Regulatory elements of basal cellular processes may be involved, as many genes involved in RNA-processing and basal regulation of transcription from RNA polymerase II were differentially expressed [Additional file 8]. One very intriguing gene (An07g03760) was upregulated on maltose with same level of significance and fold difference as the most significant upregulated secretory pathway genes. It encodes a highly conserved homolog of the P100 EBNA-2 transcriptional co-activator, which is abundantly expressed in endo-and exocrine tissues in mammals [35, 36]. The homolog of this gene was also higher expressed in T. reesei during secretion stress , indicating that this transcriptonal profile is conserved among filamentous fungi. Despite a high degree of conservation in all eukaryotic lineages no homolog is found in the yeast S. cerevisiae. Elements of some cellular functions, like protein secretion, may be more conserved between higher eukaryotes and filamentous fungi, compared to the in many ways reduced ascomycete, S. cerevisiae. Consequently, a better understanding of processes and regulation of protein secretion in filamentous fungi may require comparison to secretory cells of higher eukaryotes.
We provide evidence for carbon source induced, growth rate independent and concerted transcriptional regulation of genes encoding proteins in the secretory pathway in A. niger. We hypothesize that the fungal cell has a principal mechanism for co-ordinated regulation of basal anabolic pathways to modulate capacity of the secretory pathway. The main perspectives of our results are identification of putative regulatory elements, which coordinate expression of genes involved in protein synthesis and secretion, and increased understanding of transcriptional regulation of the secretory pathway in more normal physiological conditions. We show that an appropriate experimental approach allows study of subtle changes in expression of genes involved in important cellular processes. Furthermore, studies of lower eukaryotes, like A. niger, can be used to study functions and processes which are conserved in higher eukaryotes, with advantages in ease of propagation and ability to control growth and environmental variables.
Strains and inoculum
Conidia for inoculation of bioreactor cultures were harvested from solidified Complete Medium (CM), which contained (per liter): 6.0 g NaNO3, 1.5 g KH2PO4, 0.5 g KCl, 0.5 g Mg SO4·7H2O, 1.0 g casamino acids, 5.0 g yeast extract, 20 g agar and 1 ml trace metal solution. The trace metal solution contained per liter, 10 g EDTA, 4.4 g ZnSO4·7H2O, 1.01 g MnCl2·4H2O, 0.32 g CoCl2·6H2O, 0.315 g CuSO4·5H2O, 0.22 g (NH4)6Mo7O24·4H2O, 1.47 g CaCl2·2H2O and 1 g FeSO4·7H2O (modified from composition given by Vishniac and Santer ). pH of CM was adjusted to 5.8 with NaOH and autoclaved. The major carbon source, xylose, was autoclaved separately and added to give a final concentration of 1% (w/v). Conidia from a -80°C stock culture were spread over moist sterile filter paper discs, which were placed on CM plates. Filter paper discs facilitate spore harvest and increase yield of conidia. The solid medium cultures were incubated for three days at 30°C and then for five to seven days at 25°C to enhance conidiation. Spore plates were stored for no more than six months at 4°C. Conidia were harvested from filter paper discs with a sterile detergent solution containing 0.05% (w/v) Tween 80 and 0.9% (w/v) NaCl.
Carbon-limited chemostat cultures were performed in a Variomixing Bioreactor . This bioreactor was designed especially for cultivation of filamentous microorganisms, which have a tendency to adhere to and grow on surfaces. The Variomixing Bioreactor possesses a number of features, which reduce biomass adhesion and wall growth, and thus maintains high culture homogeneity during prolonged cultivation of filamentous fungi. A more detailed description of the Variomixing Bioreactor and associated equipment used for continuous cultivation is available elsewhere [41, 42]. The medium for batch and continuous cultivation was Minimal Medium and contained per liter: 4.5 g NH4Cl, 1.5 g KH2PO4, 0.5 KCl, 0.5 MgSO4·7H2O and 1 ml trace metal solution. 0.01% polypropyleneglycol (PPG 2000, Fluka Chemika) was added to the medium used for continuous cultivation as antifoam agent. The final cell density limiting (growth-limiting) substrate was 7.5 g xylose or maltose (monohydrate) per liter. Carbon sources were heat sterilized separately from the Minimal Medium. During cultivation, temperature was set at 30°C and at pH 3, and kept constant by computer controlled addition of 2 M NaOH. Acidification of the culture broth was used as an indirect measure for growth . Dissolved oxygen tension was always above 40% of air saturation.
Batch cultivation was initiated with inoculation of 4.3 liter minimal medium with 109 conidia liter-1. Germination was induced by addition of 0.003% (w/w) yeast extract. During the first six hours of cultivation the culture was aerated (air flow = 1 l min-1) through the headspace of the reactor and stirrer speed kept low at 450 rpm to avoid exhaust of the hydrophobic conidia. After six hours and germination of most conidia (now hydrophilic), air was sparged into the culture broth, mixing was intensified (750 rpm) for more efficient oxygen transfer and 0.01% (v/v) PPG was added.
Xylose was the growth-limiting substrate in the batch culture and during the first five residence times of chemostat cultivation. Continuous cultivation was started after 80 mmol of NaOH had been added to the batch culture (80% of the xylose exhausted or appr. 3.5 g dry weight biomass formed per kg culture). The dilution rate (D) was set to 0.16 h-1, which corresponds to 80% and 60% of the maximum specific growth rate (μmax) on xylose (≈ 0.20 h-1) and maltose (≈ 0.25 h-1), respectively. After five residence times (≈ 32 h), the xylose-containing influent medium was replaced with maltose-containing medium. Continuous cultivation was performed for additional five residence times on maltose. Steady-state, a situation where the specific growth rate (μ) is equal to the dilution rate (D), was defined by constant alkali addition rate and constant CO2, O2, biomass and substrate concentrations after four residence times.
Samples were drawn regularly to monitor culture growth and for determination of steady-state. A special sampling device was used to sample up to 100 ml culture broth in less than a second. The technical principle of the sampling device was previously described . All samples were quickly frozen in liquid nitrogen. Culture filtrate used in substrate and protein determinations was obtained by rapid filtration of culture broth through cotton wool before freezing. 10 mM NaN3 was used to conserve samples for determination of organic carbon. Mycelium harvested during steady-state was used in gene expression studies. Mycelium was separated from culture broth by filtration through sintered glass and frozen in liquid nitrogen within 15 sec after sampling.
Determination of substrate and biomass concentration
Xylose was determined by the modified orcinol reaction described by Standing et al. . Residual maltose and glucose (degradation product) was determined enzymatically as glucose, after incubation of culture filtrate with added a-glucosidase (EC 184.108.40.206) . Glucose was determined according to the method of Bergmeyer et al.  with a slight modification; 250 mM triethanolamine (TEA) was used as buffer (pH 7.5). Dry weight biomass concentration was determined by weighing freeze dried mycelium separated from a known mass of culture broth. Culture broth was filtered through GF/C glass microfibre filter (Whatman).
Influent carbon (continuous culture) was accounted for by carbon-analysis of effluent culture broth (biomass and filtrate) and measurement of CO2 in exhaust gas. Biomass carbon was determined according to the method of Kristensen and Andersen . The gas composition of dry mycelium oxidized at 1020°C was determined by gas chromatography with a Carlo Erba 1100EA Elemental Analyzer using acetanilide as standard. Organic carbon in culture filtrate was determined with a TOC-5000 Total Organic Carbon Analyzer (Shimadzu). Malonic acid was used as standard and samples diluted with Millipore water. Content of CO2 and O2 was measured in exhaust gas of the bioreactor with a Binos 100 M gas analyzer (Rosemount Analyticals).
Bio-Rad Protein Assay (microassay procedure) was used to determine extracellular protein concentration in culture filtrate. Bovine serum albumin was used as standard.
RNA isolation and quality control
Total RNA was isolated by modified Trizol extraction. Frozen ground mycelium (≈ 100 mg) was directly suspended in 500 μL Trizol reagent (Invitrogen) and vortexed vigorously for 5–10 min. After centrifugation for 5 min at 13,000 rpm, 450 μL of the supernatant was transferred to a new tube. Chloroform (90 μL) was added and extraction continued as recommended in the Trizol protocol. RNA was purified on NucleoSpin RNA II columns (Machery-Nagel), including a DNaseI digestion step. RNA was eluted in 60 μL miliQ water. RNA quantity and quality was determined on a Nanodrop spectrophotometer and integrity was tested on an Agilent 2100 Bioanalyser.
Probe synthesis and fragmentation were performed at ServiceXS (Leiden, The Netherlands) according to Affymetrix protocol . DSM (Delft, The Netherlands) proprietary A. niger genechips were hybridised, washed, stained and scanned according to Affymetrix protocol . The 3' to 5' signal ratio of probe sets of internal control genes, like gpdA (glyceraldehyde-3-phosphatedehydrogenase), pkiA (pyruvatekinase), hxk (hexokinase) and γ-actin, were below 3 on all arrays (12 arrays). Percentage of probe sets evaluated as present (%P of 14,555 probe sets) was 41 on xylose (6 arrays) and 39 on maltose (6 arrays).
Normalization, filtering, statistical significance and comparisons
Handling of microarray results and statistical comparisons were performed with GeneSpring (Silicon Genetics, 2004) software. Genes with detection call Present or Marginal in at least one of three replicate measurements were accepted as expressed and used in further analyses. Raw signal values were normalized Per-chip to 50th percentile and Per-gene to median prior to comparison of conditions. Four experimental conditions were compared (maltose- and xylose-limited chemostat cultures of two strains); each condition represented by independent triplicate measurements. Replicate variation of transcript levels was characterized as CV of 25th, 50th, 75th and 90th percentiles (P) of expressed genes with least variable signal intensities. Xylose-limited cultures (AB94-85/ABGT1026): P25 = 0.08/0.07, P50 = 0.12/0.12, P75 = 0.19/0.18 and P90 = 0.28/0.27. In maltose-limited cultures the corresponding values were 0.13/0.10, 0.19/0.15, 0.27/0.22 and 0.37/0.31. Genes expressed differentially on carbon source were identified by 2-way ANOVA (variances were not assumed equal) with a cut-off p-value of 0.005. Benjamini Hochberg False Discovery Rate , FDR, was < 0.05 for genes identified as differentially expressed. Fold change of gene expression from xylose to maltose (maltose/xylose) was calculated for genes with significantly different expression on the two carbon sources.
We thank Jack T. Pronk and V. Meyer for their comments and suggestions to improve the manuscript, and Erling Knudsen, Mark Arentshorst and Rasmus Skytte for technical assistance. The research group of C.A.M.J.J. van den Hondel is part of the Kluyver Centre for Genomics of Industrial Fermentation, which is supported by the Netherlands Genomics Initiative.
- De Vries RP, Visser J: Aspergillus enzymes involved in degradation of plant cell wall polysaccharides. Microbiol Mol Biol Rev. 2001, 65: 497-522. 10.1128/MMBR.65.4.497-522.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Yuan XL, Goosens C, Kools H, Maarel van der MJ, Hondel van den CA, Dijkhuizen L, Ram AF: Database mining and transcriptional analysis of genes encoding inulin-modifying enzymes of Aspergillus niger. Microbiol. 2006, 152: 3061-3073. 10.1099/mic.0.29051-0.View ArticleGoogle Scholar
- Pel HJ, de Winde JH, Archer DB, Dyer PS, Hofmann G, Schaap PJ, Turner G, de Vries RP, Albang R, Albermann K, Andersen MR, Bendtsen JD, Benen JA, Berg van den M, Breestraat S, Caddick MX, Contreras R, Cornell M, Coutinho PM, Danchin EG, Debets AJ, Dekker P, van Dijck PW, van Dijk A, Dijkhuizen L, Driessen AJ, d'Enfert C, Geysens S, Goosen C, Groot GS, de Groot PW, Guillemette T, Henrissat B, Herweijer M, Hombergh van den JP, Hondel van den CA, Heijden van der RT, Kaaij van der RM, Klis FM, Kools HJ, Kubicek CP, van Kuyk PA, Lauber J, Lu X, Maarel van der MJ, Meulenberg R, Menke H, Mortimer MA, Nielsen J, Oliver SG, Olsthoorn M, Pal K, van Peij NN, Ram AF, Rinas U, Roubos JA, Sagt CM, Schmoll M, Sun J, Ussery D, Varga J, Vervecken W, Vondervoort van de PJ, Wedler H, Wösten HA, Zeng AP, van Ooyen AJ, Visser J, Stam H: Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88. Nat Biotechnol. 2007, 25: 221-231. 10.1038/nbt1282.View ArticlePubMedGoogle Scholar
- Andersen MR, Vongsangnak W, Panagiotou G, Salazar MP, Lehmann L, Nielsen J: A trispecies Aspergillus microarray: comparative transcriptomics of three Aspergillus species. Proc Natl Acad Sci USA. 2008, 18: 4387-4392. 10.1073/pnas.0709964105.View ArticleGoogle Scholar
- Pitt JI: Toxigenic fungi: which are important?. Med Mycol. 2000, 38: 17-22.View ArticlePubMedGoogle Scholar
- Cary JW, Ehrlich K: Aflatoxigenicity in Aspergillus : molecular genetics, phylogenetic relationships and evolutionary implications. Mycopathol. 2006, 162: 167-177. 10.1007/s11046-006-0051-8.View ArticleGoogle Scholar
- Jørgensen TR: Identification and toxigenic potential of the industrially important fungi, Aspergillus oryzae and Aspergillus sojae. J Food Prot. 2007, 70: 2916-2934.PubMedGoogle Scholar
- Schuster E, Dunn-Coleman N, Frisvad JC, van Dijck PWM: On the safety of Aspergillus niger – a review. Appl Microbiol Biotechnol. 2002, 59: 426-435. 10.1007/s00253-002-1032-6.View ArticlePubMedGoogle Scholar
- Frisvad JC, Smedsgaard J, Samson RA, Larsen TO, Thrane U: Fumonisin B2 production by Aspergillus niger. J Agric Food Chem. 2007, 55: 9727-9732. 10.1021/jf0718906.View ArticlePubMedGoogle Scholar
- Conesa A, Punt PJ, van Luijk N, Hondel van den CAMJJ: The secretion pathway in filamentous fungi: a biotechnological view. Fungal Genet Biol. 2001, 33: 155-171. 10.1006/fgbi.2001.1276.View ArticlePubMedGoogle Scholar
- Helenius A, Aebi M: Roles of N-linked glycans in the endoplasmic reticulum. Annu Rev Biochem. 2004, 73: 1019-1049. 10.1146/annurev.biochem.73.011303.073752.View ArticlePubMedGoogle Scholar
- Sato K, Nakano A: Mechanisms of COPII vesicle formation and protein sorting. FEBS Lett. 2007, 581: 2076-2082. 10.1016/j.febslet.2007.01.091.View ArticlePubMedGoogle Scholar
- van Anken E, Braakman I: Versatility of the endoplasmic reticulum protein folding factory. Crit Rev Biochem Mol Biol. 2005, 40: 191-228. 10.1080/10409230591008161.View ArticlePubMedGoogle Scholar
- Wallis GLF, Swift RJ, Hemming FW, Trinci APJ, Peberdy JF: Glucoamylase overexpression and secretion in Aspergillus niger : analysis of glycosylation. Biochim Biophys Acta. 1999, 1472: 576-586.View ArticlePubMedGoogle Scholar
- Guillemette T, van Peij NNME, Goosen T, Lanthaler K, Robson GD, Hondel van den CAMJJ, Stam H, Archer DB: Genomic analysis of the secretion stress response in the enzyme-producing cell factory Aspergillus niger. BMC Genomics. 2007, 8: 158-10.1186/1471-2164-8-158.PubMed CentralView ArticlePubMedGoogle Scholar
- Piper MDW, Daran-Lapujade P, Bro C, Regenberg B, Knudsen S, Nielsen J, Pronk JT: Reproducibility of oligonucleotide microarray transcriptome analyses – an interlaboratory comparison using chemostat cultures of Saccharomyces cerevisiae. J Biol Chem. 2001, 277: 37001-37008. 10.1074/jbc.M204490200.View ArticleGoogle Scholar
- Ruepp A, Zollner A, Maier D, Albermann K, Hani J, Mokrejs M, Tetko I, Güldener U, Mannhaupt G, Münsterkötter M, Mewes HW: The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes. Nucleic Acids Res. 2004, 32: 5539-5545. 10.1093/nar/gkh894.PubMed CentralView ArticlePubMedGoogle Scholar
- Yuan XL, Kaaij van der RM, Hondel van den CA, Punt PJ, Maarel van der MJ, Dijkhuizen L, Ram AF: Aspergillus niger genome-wide analysis reveals a large number of novel alpha-glucan acting enzymes with unexpected expression profiles. Mol Genet Genomics. 2008, 279: 545-561. 10.1007/s00438-008-0332-7.PubMed CentralView ArticlePubMedGoogle Scholar
- van Peij NN, Gielkens MM, de Vries RP, Visser J, de Graaff LH: The transcriptional activator XlnR regulates both xylanolytic and endoglucanase gene expression in Aspergillus niger. Appl Environ Microbiol. 1998, 64: 3615-3619.PubMed CentralPubMedGoogle Scholar
- Wang X, Devaiah SP, Zhang W, Welti R: Signaling functions of phosphatidic acid. Prog Lipid Res. 2006, 45: 250-278. 10.1016/j.plipres.2006.01.005.View ArticlePubMedGoogle Scholar
- Punt PJ, van Gemeren IA, Drint-Kuijvenhoven J, Hessing JG, van Mijlwijk-Harteveld GM, Beijersbergen A, Verrips CT, Hondel van den CA: Analysis of the role of the gene bipA, encoding the major endoplasmic reticulum chaperone protein in the secretion of homologous and heterologous proteins in black Aspergilli. Appl Microbiol Biotechnol. 1998, 50: 447-454. 10.1007/s002530051319.View ArticlePubMedGoogle Scholar
- Ngiam C, Jeenes DJ, Punt PJ, Hondel van den CAMJJ, Archer DB: Characterization of a foldase, protein disulfide isomerase A, in the protein secretory pathway of Aspergillus niger. Appl Environ Microbiol. 2000, 66: 775-782. 10.1128/AEM.66.2.775-782.2000.PubMed CentralView ArticlePubMedGoogle Scholar
- Shoji J, Arioka M, Kitamoto K: Dissecting cellular components of the secretory pathway in filamentous fungi: insights into their application for protein production. Biotechnol Lett. 2008, 30: 7-14. 10.1007/s10529-007-9516-1.View ArticlePubMedGoogle Scholar
- Saloheimo M, Lund M, Penttilä ME: The protein disulfide isomerase gene of the fungus Trichoderma reesei is induced by endoplasmic reticulum stress and regulated by the carbon source. Mol Gen Genet. 1999, 262: 35-45. 10.1007/s004380051057.View ArticlePubMedGoogle Scholar
- Webb GC, Akbar MS, Zhao C, Steiner DF: Expression profiling of pancreatic β cells: glucose regulation of secretory and metabolic pathway genes. Proc Natl Acad Sci USA. 2000, 7: 5773-5778. 10.1073/pnas.100126597.View ArticleGoogle Scholar
- Shaffer AL, Shapiro-Shelef M, Iwakoshi NN, Lee AH, Qian SB, Zhao H, Yu X, Yang L, Tan BK, Rosenwald A, Hurt EM, Petroulakis E, Sonenberg N, Yewdell JW, Calame K, Glimcher LH, Staudt LM: Xbp1, downstream of Blimp-1, expands the secretory pathway apparatus and other organelles, and increases protein synthesis in plasma membrane cell differentiation. Immunity. 2004, 21: 81-93. 10.1016/j.immuni.2004.06.010.View ArticlePubMedGoogle Scholar
- Gass JN, Gifford NM, Brewer JW: Activation of an unfolded protein response during differentiation of antibody-secreting B cells. J Biol Chem. 2002, 277: 49047-49054. 10.1074/jbc.M205011200.View ArticlePubMedGoogle Scholar
- Travers KJ, Patil CK, Wodicka L, Lochhart DJ, Weissmann JS, Walter P: Functional and genomic analyses reveal an essential coordination between the unfolded protein response and ER-associated degradation. Cell. 2000, 101: 249-258. 10.1016/S0092-8674(00)80835-1.View ArticlePubMedGoogle Scholar
- Kitama Y, Ishiwata-Kitama Y, Yamada S, Kohno K: Yeast unfolded protein response pathway regulates expression of genes for anti-oxidative stress and cell surface proteins. Genes Cells. 2006, 11: 59-69. 10.1111/j.1365-2443.2005.00921.x.Google Scholar
- Chang HJ, Jesch SA, Gaspar ML, Henry SA: Role of the unfolded protein response pathway in secretory stress and regulation of ino1 expression in Saccharomyces cerevisiae. Genetics. 2004, 168: 1899-1913. 10.1534/genetics.104.032961.PubMed CentralView ArticlePubMedGoogle Scholar
- Goodman AG, Smith JA, Balachandran S, Perwitasari O, Proll SC, Thomas MJ, Korth Mj, Barber GN, Schiff LA, Katze MG: The cellular protein P58IPK regulates influenza virus mRNA translation and replication through a PKR-mediated mechanism. J Virol. 2007, 81: 2221-2230. 10.1128/JVI.02151-06.PubMed CentralView ArticlePubMedGoogle Scholar
- Tvegård T, Soltani H, Skjølberg HC, Krohn M, Nilssen EA, Kearsey BG, Grallert B, Boye E: A novel checkpoint mechanism regulating the G1/S transition. Genes Dev. 2007, 21: 649-654. 10.1101/gad.421807.PubMed CentralView ArticlePubMedGoogle Scholar
- Tournu H, Tripathi G, Bertram G, Macaskill S, Mavor A, Walker L, Odds FC, Gow NAR, Brown AJP: Global role of the protein kinase Gcn2 in the human pathogen Candida albicans. Eukaryotic Cell. 2005, 4: 1687-1696. 10.1128/EC.4.10.1687-1696.2005.PubMed CentralView ArticlePubMedGoogle Scholar
- Patil CK, Li H, Walter P: Gcn4p and novel upstream activating sequences regulate targets of the unfolded protein response. PLOS biol. 2004, 2: e246-10.1371/journal.pbio.0020246.PubMed CentralView ArticlePubMedGoogle Scholar
- Broadhurst MK, Lee RSF, Hawkins S, Wheeler T: The p100 EBNA-2 coactivator: a highly conserved protein found in a range of exocrine and endocrine cells and tissues in cattle. Biochim Biophys Acta. 2005, 1681: 126-133.View ArticlePubMedGoogle Scholar
- Keenan TW, Winter S, Rackwitz HR, Heid HW: Nuclear coactivator protein p100 is present in endoplasmic reticulum and lipid droplets of milk secreting cells. Biochim Biophys Acta. 2000, 1523: 84-90.View ArticlePubMedGoogle Scholar
- Arvas M, Pakula T, Lanthaler K, Saloheimo M, Valkonen M, Suortti T, Robson G, Penttilä M: Common features and interesting transcriptional responses to secretion stress in the fungi Trichoderma reesei and Saccharomyces cerevisiae. BMC Genomics. 7: 32-10.1186/1471-2164-7-32.Google Scholar
- Van Gorcom RFM: Analysis of gene expression in Aspergillus. PhD thesis. 1997, University of AmsterdamGoogle Scholar
- Frenken LG, Hessing JG, Hondel van den CA, Verrips CT: Recent advances in the large-scale production of antibody fragments using lower eukaryotic microorganisms. Res Immunol. 1998, 149: 589-599. 10.1016/S0923-2494(98)80011-4.View ArticlePubMedGoogle Scholar
- Vishniac W, Santer M: The thiobacilli. Bacteriol Rev. 1957, 21: 195-213.PubMed CentralPubMedGoogle Scholar
- Larsen B, Rask Poulsen B, Eriksen NT, Lønsmann Iversen JJ: Homogeneous batch cultures of Aspergillus oryzae by elimination of wall growth in the Variomixing bioreactor. Appl Microbiol Biotechnol. 2004, 64: 192-198. 10.1007/s00253-003-1437-x.View ArticlePubMedGoogle Scholar
- Jørgensen TR, vanKuyk PA, Poulsen BR, Ruijter GJG, Visser J, Iversen JJL: Glucose uptake and growth of glucose-limited chemostat cultures of Aspergillus niger and a disruptant lacking MstA, a high-affinity glucose transporter. Microbiology. 2007, 153: 1963-1973. 10.1099/mic.0.2006/005090-0.View ArticlePubMedGoogle Scholar
- Iversen JJL, Thomsen JK, Cox RP: On-line growth measurements in bioreactors by titrating metabolic proton exchange. Appl Microbiol Biotechnol. 1994, 42: 256-262. 10.1007/BF00902726.View ArticleGoogle Scholar
- Iversen JJL: A rapid sampling valve with minimal dead space for laboratory scale fermenters. Biotechnol Bioeng. 1981, 23: 437-440. 10.1002/bit.260230218.View ArticleGoogle Scholar
- Standing CN, Fredrickson AG, Tsuchiya HM: Batch- and continuous-culture transients for two substrate systems. Appl Microbiol. 1972, 23: 354-359.PubMed CentralPubMedGoogle Scholar
- Beutler HO: Maltose. Methods of Enzymatic Analysis. Edited by: Bergmeyer HU. 1983, Weinheim: Verlag Chemie, VI: 119-126.Google Scholar
- Bergmeyer HU, Bernt E, Schmidt F, Stork H: Glucose. Methods of Enzymatic Analysis. Edited by: Bergmeyer HU. 1974, New York: Academic Press, 3: 1196-1201.Google Scholar
- Kristensen E, Andersen FØ: Determination of organic carbon in marine sediments: a comparison of two CHN-analyzer methods. J Exp Mar Biol Ecol. 1987, 109: 15-23. 10.1016/0022-0981(87)90182-1.View ArticleGoogle Scholar
- GeneChip Expression Analysis Technical Manual Affymetrix, inc. 2002Google Scholar
- Benjamini Y, Hochberg Y: Controlling the False Discovery Rate: a practical and powerful approach to multiple testing. J Royal Stat Soc B. 1995, 57: 289-300.Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.