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A GFP-fusion coupling FACS platform for advancing the metabolic engineering of filamentous fungi

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Biotechnology for Biofuels201811:232

https://doi.org/10.1186/s13068-018-1223-8

  • Received: 23 January 2018
  • Accepted: 6 August 2018
  • Published:

Abstract

Background

The filamentous fungus Trichoderma reesei, the most widely used cellulase producer, also has promising applications in lignocellulose-based biorefinery: consolidated bioprocessing for the production of high value-added products. However, such applications are thwarted by the time-consuming metabolic engineering processes (design–build–test–learn cycle) for T. reesei, resulted from (i) the spore separation-mediated purification as the multinucleate hyphae, (ii) transformant screening for high expression levels since unavailable of episomal expression system, and (iii) cases of inexpressible heterologous proteins.

Results

In this study, a GFP-fusion coupled fluorescence-activated cell sorting (FACS) platform was established to speed up the build and test process of the DBTL cycle, by enabling rapid selection for expressible heterologous genes and bypassing both laborious spore separation and transformant screening. Here, the feasibility of flow cytometry in analyzing and sorting T. reesei cells harboring GFP-fused expressible protein was proven, as well as the application of the platform for constitutive promoter strength evaluation. As a proof-of-concept, the platform was employed to construct the first T. reesei strain producing fatty alcohol, resulting in up to 2 mg hexadecanol being produced per gram biomass. Pathway construction was enabled through rapid selection of functional fatty acyl-CoA reductase encoding gene Tafar1 from three candidate genes and strains with high expression level from spore pools. As a result of using this method, the total costed time for the build and test cycle using T. reesei, subsequently, reduced by approx. 75% from 2 months to 2 weeks.

Conclusion

This study established the GFP-fusion coupling FACS platform and the first filamentous fungal fatty alcohol-producing cell factory, and demonstrated versatile applications of the platform in the metabolic engineering of filamentous fungi, which can be harnessed to potentially advance the application of filamentous fungi in lignocellulose-based biorefinery.

Keywords

  • Fatty alcohol
  • Filamentous fungi
  • Fluorescence-activated cell sorting
  • Metabolic engineering
  • Trichoderma reesei

Background

Cell factories are promising alternatives for the production of bulk chemicals [1, 2], transport fuel [3, 4], and natural products [5, 6] currently produced based on petroleum industry or plant-derived extraction. Construction of efficient cell factories is mainly achieved through cycles of the design–build–test–learn (DBTL) process, which typically involves reconstituting heterologous metabolic pathways and rewiring native cellular metabolism [7]. Due to the advantage of a well-understood cellular metabolism and a comprehensive genetic manipulation platform, both Escherichia coli [810] and Saccharomyces cerevisiae [1113] predominate as hosts for rapid cell factory construction. However, their application in industry may be limited by expensive feedstock consumption (glucose, glycerol, etc.), especially when economic pressures on TRY (titer, rate, and yield) are high, such as in the case of low-priced bulk chemical and fuel production. Cost-effective bioprocessing, subsequently, necessitates the generation of cell factory utilizing inexpensive, abundant, and renewable feedstocks such as CO2 [14] and lignocellulose [15]. To develop the direct lignocellulose utilization-based biorefineries, many efforts have been made on strain improvement, mainly using yeast, for cellulose degradation (consolidated bioprocessing [16, 17]) and xylose utilization [18, 19]. In contrast, the potential use of native cellulose-degrading microorganisms such as Clostridium spp. [20, 21] and filamentous fungi, for high-value chemical production, has been scarcely explored. The Sordariomycete fungus Trichoderma reesei is the most widely used cellulase producer in both academic investigations and industrial applications [22]. As it demonstrates a great capability for degrading cellulose, T. reesei, subsequently, has huge potential in consolidated bioprocessing, to convert recalcitrant and abundant cellulose into value-added products via single microorganism-based fermentation [23].

Rational engineering is essential for strain improvement, especially for manufacturing non-native products, which involves introducing and optimizing heterologous pathways. Through this approach of systematic and rational metabolic engineering, much progress has been made in T. reesei for improving its cellulase-producing capacity, by optimizing its native secretory pathway [24] or by introducing heterologous glucosidase for efficient enzymatic cellulose degradation [25]. Nevertheless, there still exist many drawbacks hindering rational strain improvement in filamentous fungi. This includes the current need to invest significantly more time into genetic engineering efforts (2 months versus less than 1 week for model organisms), which nonetheless, results in low efficiency heterologous protein expression (Additional file 1: Fig. S1). This genetic engineering approach, which is complexified by the unavailability of episomal plasmids, also involves spore separation of positive transformants and subsequent strain evaluation without high-throughput screening, leading to the overall strain build and test process of T. reesei being time-consuming, effort-intensive, and generally inefficient (Additional file 1: Fig. S1). A means for simplifying this time-consuming genetic engineering process, as well as readily excluding effort-intensive unsuccessful heterologous protein expression in filamentous fungi, thus need to be addressed.

Flow cytometry-based platforms have wide application in the analysis and sorting of single cells mainly due to their ability to screen and, if necessary, sort a large number of cells quickly. We, therefore, leveraged this type of high-throughput platform, using specifically GFP-fusion coupled fluorescence-activated cell sorting (FACS), to accelerate the genetic engineering of T. reesei. Using this method, we were thus able to rapidly select expressible heterologous gene and purify transformants with high expression levels (Fig. 1). As a proof-of-concept for using this platform with filamentous fungi, we showed that it was possible to rapidly screen T. reesei strains with high expression levels of viable fatty acyl-CoA reductase (Fig. 1). In doing so, we constructed the first viable filamentous fungi cell factory for the production of fatty acid derivatives.
Fig. 1
Fig. 1

Schematic illustrating the GFP-fusion coupling FACS platform accelerating the heterologous gene expression process in T. reesei. a gfp gene was fused to the target gene and acted as the indicator for successful expression of heterologous genes and for spore separation through an FACS platform. Heterologous genes of unsuccessful expressions would be excluded following flow cytometry analysis, since no fluorescence was detected. For genes with successful expression, strains with gene expressed at expected levels can be rapidly obtained from a large candidate pool through cell sorting, as well as an additional confirmation of hyphae fluorescence on 96-well plate cultures. Time and numbers marked in the figure indicated the time and numbers of selected transformants in each procedure. b Cellular fatty acyl-CoA could be converted to fatty alcohol by functional fatty acyl-CoA reductase (FAR). The FAR viability was monitored using FAR fused with GFP with FAR expression levels being reflected by GFP fluorescence intensity

Results

Flow cytometry as a robust tool for analyzing filamentous fungi in high throughput

To test the feasibility of flow cytometry in analyzing filamentous fungi, we tested T. reesei based on both its cell shape and fluorescence, as well as testing the gene expressibility, we applied flow cytometry to analyze spores and protoplasts of pyr4-TU-6 strain and Trpdi2-gfp-TU-6 strain expressing GFP-fused homologous TrPDI2 (protein disulfide isomerase, [24]). The latter strain was selected as demonstration not only because of the capability of emitting fluorescence but also for the purpose of testing the performance of strain carrying target gene–gfp construct (subsequently used for rapid heterologous gene evaluation), since TrPDI2 is a expressible native gene. In contrast to the control strain pyr4-TU-6, wherein no GFP was present, the cell population of Trpdi2-gfp-TU-6 showed much higher fluorescence levels (Fig. 2). This suggested that flow cytometry was able to identify T. reesei cells (both spores and protoplasts) and discern according to their difference in fluorescence intensity, consistent with the previous studies proving the application feasibility of flow cytometry on T. reesei germinating spores [26, 27]. And more importantly, our results confirmed that GFP-fusion construct was suitable for the rapid confirmation of gene expressibility.
Fig. 2
Fig. 2

Flow cytometry analysis of T. reesei cells harboring gfp-fused gene construct. Trpdi2 was selected as the homologous gene, which was confirmed as expressing functionally, for feasibility of flow cytometry analysis of T. reesei cells with gene–gfp-fusion construct. Both spores (a, b) and protoplast (c, d, generated from hyphae by enzymatic degradation) were utilized for the evaluations. pyr4-TU-6 strain served as the negative control in analyzing the fluorescence distribution of Trpdi2-gfp-TU-6 strain’s cell population. 100,000 or 30,000 cells were analyzed for spore or protoplast samples, respectively. Dashed and light-blue lines marking the same value of GFP-Log_Height were for direct comparisons of results from different panels. FSC forward scatter

Promoter strength evaluation by flow cytometry analysis

After confirming the proof of principle of our flow cytometry platform for measuring gene expressibility, we then tested the feasibility of this analysis tool for evaluating constitutive promoter strength, the basal and crucial element for stable gene expression. Strength assessment of promoters, both heterologous and homologous, was mainly performed with RT-PCR, a reliable but relatively low-throughout method. We, subsequently, analyzed the GFP-promoting strength of three previously reported promoters: glucose concentration responsive pdc promoter [28], constitutive pyruvate kinase (pki) promoter [29], and constitutive tef1 promoter with flow cytometry. Here, spores of each transformant pool showed two cell populations: fluorescence-positive and fluorescence-negative (Fig. 3), indicating the existence of false-positive transformants by co-transformation. The overall spores’ fluorescence distribution showed that the fluorescence of spores expressing gfp under tef1 and pki promoters (with similar fluorescence range) was higher compared to that under pdc promoter (Fig. 3), while the quantitative analysis on median fluorescence value indicated the slightly lower strength of pki promoter compared to tef1 promoter (Additional file 1: Fig. S2). These results on constitutive tef1 and pki promoters, were consistent with previously published transcriptome data showing relatively comparable expression levels of these three genes [30] (also briefed in Additional file 1: Fig. S2). The relatively low strength of the pdc promoter (Fig. 3) detected via our flow cytometry method should be as this promoter’s high glucose concentration responsive property and that spores used for test were only formed under condition of low glucose concentration, that is when accessible nutrient in the medium was depleted. Our results, therefore, suggest that flow cytometry analysis is suitable for constitutive promoter strength evaluation.
Fig. 3
Fig. 3

Flow cytometry analysis of T. reesei spores constitutively expressing gfp. GFP was driven by three strong promoters on originally constructed plasmids designed for convenient cloning (multiple cloning site) and multiple segment assembly (BioBrick assembly). These plasmids were co-transformed into TU-6 with P19-pyr4 for transformant’s spore collection. 100,000 cells were analyzed for each sample. Two batches of analysis were performed, with the same indications of the variation between samples. Dashed and light-blue lines marking the same value of GFP-Log_Height were for direct comparisons of results from different panels. FSC forward scatter

Applying flow cytometry for the rapid screening of viable heterologous genes and target strains

To obtain cells with high gene expression levels in high throughput, flow cytometry-based cell sorting is essential. We, therefore, evaluated the efficiency of cell sorting, according to both cell shape and fluorescence, for acquiring optimal strains of T. reesei. The viability of 20–50% of the sorted spores was observed under the condition used in this study. In contrast to this, protoplasts in our hands could be recovered at a much lower rate (less than 5%), mainly as the protoplast vulnerability for lacking the protection from cell wall. Therefore, spores were employed for further investigation for their characteristics of the direct and easy-to-operate fluorescence-emitting host (compared to protoplasts).

We next applied flow cytometry-based analysis and sorting to T. reesei, to screen for functionally viable heterologous genes and strains that exhibited desired expression levels following pathway construction. We pursued the reconstruction of metabolic pathways for fatty alcohol production as an example, as these are a key type of aliphatic fatty acid derivatives, with wide applications in detergent, lubricant, and cosmetics. The biosynthesis of fatty alcohols derived from fatty acyl-CoA can be directly catalyzed by fatty acyl-CoA reductases (FARs), which has been utilized for the highest titer reported until now [31]. FAR thus is typically favored in metabolic engineering efforts to construct cell factories for fatty alcohol production. We, therefore, tested several previously reported fatty acyl-CoA reductases from plant Arabidopsis thaliana (Atfar1 and Atfar6 [3234]) and barn owl Tyto alba (Tafar1 [35]) for their functional viability in T. reesei (Fig. 1b). Fusion segments of far-gfp under the pdc promoter were first constructed and transformed into TU-6, generating a transformant spore pool for flow cytometry analysis. Compared to the negative control (pyr4-TU-6 spores), an additional spore population with high fluorescence intensity was observed in gfp-TU-6 (positive control) and the corresponding high fluorescence intensity region was designated as a gate for evaluating potential gene viability (Fig. 4). We found the results for spores containing plant FARs, Atfar1-gfp-TU-6 and Atfar6-gfp-TU-6, to resemble that of the negative control with no high fluorescence being present amongst the spore population. In contrast, however, our analysis of Tafar1-gfp-TU-6 spores demonstrated a significantly higher ratio in the defined region (gate) and a similar performance to the positive control (Fig. 4). This suggested that Tafar1 can be expressed successfully and can potentially act as the catalytic intermediary converting fatty acyl-CoA to fatty alcohol in T. reesei.
Fig. 4
Fig. 4

Flow cytometry analysis of functional viability of fatty acyl-CoA reductases (FARs) in T. reesei. Spores harboring heterologous genes encoding FARs driven by the pdc promoter were analyzed for the evaluation of functional viable FARs in T. reesei. pyr4-TU-6 and Ppdc-gfp-TU-6 strains were used as the negative and positive controls, respectively. Gates marking the same value range were defined according to the fluorescence distribution of positive cells of Ppdc-gfp-TU-6 spores. Numbers indicate the mean ratio of gate-defined spore number to that of the whole-cell population, and standard deviation was calculated from triplicate analysis on transformant spore pools. 100,000 cells were analyzed for each sample. Two batches of experiments were performed, and significant differences were only observed between pyr4-TU-6 and Ppdc-Tafar1-gfp-TU-6 for FAR-expressing spores. FSC forward scatter

To confirm Tafar1′s functional viability and screen strains with higher Tafar1 expression levels, the secondary screening of cultures of sorted spores (in 96-well plate format) and fatty alcohol quantification were performed. To minimize the effect of differences in transformant growth, fluorescence/OD600 (specific signal, arbitrary unit) was used as an indicator of expression level, which ranged from ~ 200 to ~ 450 (Additional file 1: Table S1). Although optical density is not widely used to quantify cell growth of filamentous fungi, it can serve as an indicator for biomass estimation [36] and thus was also used in this study. Sorted strains were subsequently divided into three groups and the corresponding specific yield of fatty alcohol was tested for each of the selected strains, with ten strains per group. After 48 h cultivation on medium optimized for total fatty acid methyl ester production (Additional file 1: Fig. S3), the hexadecanol yield of selected transformants ranged from 0.8 to 2 mg/g biomass (Fig. 6a, b), which is comparable to or higher than the initial fatty alcohol-producing Yarrowia lipolytica strain (~ 1.7 mg/g biomass) [34]. The hexadecanol yield also showed to increase alongside elevating relative fluorescence values (Fig. 5a, b), suggesting that hexadecanol producing capability, which was tightly dependent on the FAR gene expression level [34], was highly relevant to the GFP signal intensity. The correlation between specific fluorescence and the expression level of Tafar1 gene was also demonstrated (Fig. 5c), supporting the feasibility of screening transformants for high gene expression levels based on GFP fluorescence.
Fig. 5
Fig. 5

Correlation of TaFAR1-fused GFP intensity and fatty alcohol production in T. reesei. Flow cytometry-sorted spores were cultivated and subjected to fatty alcohol quantification (a) and hyphae fluorescence detection (b). Strains were grouped according to the fluorescence value/OD600 (b). 10 or 1 strain from each group was randomly selected for fatty alcohol quantification (a, b) or Tafar1 expression detection (c), respectively. Results of hexadecanol yield are the mean of experiments on ten separate strains and error bars indicate standard deviations (n = 10 ± SD). Asterisks indicated a significant difference (p < 0.05) according to Student’s t test. Con: pyr4-TU-6 strain, G6: Ppdc-gfp-TU-6 strain, T1, T2, T3: Ppdc-Tafar1-gfp-TU-6 strains randomly selected from groups with different fluorescence value/OD600 (200–300, 300–400, 400–450), respectively

Evaluation of the engineered T. reesei strain using shake-flask fermentation

The performance of the engineered T. reesei strain T3, with high Tafar1 expression (Fig. 5), was preliminarily evaluated using shake-flask fermentation. Akin to most eukaryotic cell factories for fatty alcohol production [34, 37, 38], the majority of produced fatty alcohols were retained inside the cell instead of being secreted to the extracellular space (Fig. 6a). The production of both intracellular and extracellular fatty alcohols (hexadecanol and octadecanol) also showed to increase alongside biomass accumulation, achieving a maximum titer of 3.98 (intra) + 0.15 (extra) mg/l at 48 h (Fig. 6a), and then dropping to the range of 0.39–0.99 (intra) + 0.20–0.31 (extra) mg/l (Fig. 6a). This decrease in fatty alcohol production at the late-stage fermentation suggests the existence of fatty alcohol degradation pathway in T. reesei (potential executors include aldehyde and alcohol dehydrogenases such as Trire2_2038, Trire2_56839, and Trire2_66827), which also warrants further investigation to improve metabolic engineering of this organism for fatty alcohol production.
Fig. 6
Fig. 6

Fatty alcohol production profiles of engineered T. reesei strain in shake-flask fermentation. Spores of the engineered strain were inoculated and cultured on medium without (a) or with (b) dodecane addition for cultivations and detections. Intracellular and extracellular fatty alcohol (FAL, hexadecanol and octadecanol), glucose, and biomass were detected over 144 h. Results are the mean of three replicates and error bars indicate standard deviations (n = 3 ± SD)

Overlaying dodecane was previously demonstrated as an efficient approach to recover intracellular retained fatty alcohols in yeast S. cerevisiae [38, 39], and was, therefore, applied here to evaluate its equivalent suitability for fatty alcohol-producing T. reesei. Dodecane addition inhibited biomass accumulation, resulting in a decrease in the final biomass (144 h) from 16.72 ± 3.82 g/l (Fig. 6a) to 7.24 ± 0.74 g/l (Fig. 6b). This result is dissimilar to that for Y. lipolytica, wherein no inhibitory effects on growth were observed and ~ 95% intracellular fatty alcohols were recovered [38]. Here, fatty alcohol distribution to the dodecane phase was 59 ± 11% for T. reesei cells (Fig. 6b), with the relatively lower ratio most likely being a result of intertwined hyphae limiting the accessibility of cells to dodecane. Overall, maximum fatty alcohol production was observed after 144 h cultivation, being 1.82 (intra) + 2.34 (extra) mg/l (Fig. 6b).

Discussion

Compared to other microorganisms with regular cell shapes, the time-consuming and effort-intensive genetic engineering processes associated with T. reesei (Fig. 1), due to its intertwined multinucleate hyphae, thwarts strain improvement for this fungus, and its application in lignocellulose-based biorefinery. In this study, a GFP-fusion coupling flow cytometry sorting platform was established to simplify the genetic engineering procedure of T. reesei (Fig. 1). This enabled the rapid characterization of basic promoter elements for the manipulation of T. reesei, a reduction in efforts for purifying transformants functionally expressing heterologous genes and the rapid selection of transformants with high gene expression levels from a larger candidate pool.

It is clear that the versatile and high-throughput attributes of flow cytometry sorting platforms can accelerate the characterization of elements essential for genetic engineering filamentous fungi. Currently, genetic engineering efforts using filamentous fungi involve DNA segments being randomly integrated into the chromosome due to the unavailability of stable plasmids. As well, to characterize basal promoter elements, in particular the driving strengths of homologous and heterologous promoters, real-time PCR is principally used since convenient and reliable plasmid-based enzymatic assay for E. coli [40] and S. cerevisiae [41] are not suitable. Finally, the assessment of heterologous promoters can be extremely complex considering that insertion sites can have significant impacts on gene expression strength [42, 43]. Flow cytometry analysis of transformant spores offers an efficient approach to constitutive promoter strength evaluation as the results generated reflect a fluorescence value distribution for the whole-cell population (> 100,000 cells). This analysis on considerable amount of variants inserted with expression cassettes at different genomic sites would evaluate the performance of overall cell populations, and, therefore, allows for the promoter evaluation regardless of influence from various insertion sites. Furthermore, the consistency of our promoter strength results from this study (Ppki and Ptef1, Fig. 3) with that of previously reported transcriptome data also supports the feasibility of flow cytometry analysis for constitutive promoter strength evaluation.

Functional expression of heterologous genes is the prerequisite for cell factory construction, as it is essential for non-native pathway construction. Gene expression is tightly controlled in biological systems at multiple levels including transcription, translation, protein folding, and modification, which can individually or collectively hinder the successful expression of heterologous genes in various host organisms [4446]. Although codon optimization provides a popular approach for improving gene expression levels, through relieving transcriptional inhibition and increasing translation efficiency [47, 48], the expressibility of codon optimized heterologous genes is still sometimes questioned [34]. Confirmative detection of heterologous product, therefore, always serves as the most reliable approach to evaluate heterologous genes’ expressibility. With the GFP-fusion coupling FACS platform, candidate heterologous genes were fused with a GFP-encoding gene at the 3′ termini (Fig. 1). Such construct, unlike that at the 5′ termini, allows for a robust expressibility evaluation as correct GFP translation at C-termini of the fusion protein will act as the final step of the successful expression. Fluorescence derived from GFP indicated that the protein product from the given heterologous gene has gone through the homologous control systems, suggesting the gene’s functional viability in T. reesei (Figs. 2, 4, 5).

For metabolic engineering T. reesei, and filamentous fungi in general, two additional laborious and time-consuming processes are also necessary, in comparison to similar work using model organisms such as E. coli or S. cerevisiae. This being spore separation-mediated purification and screening for strains with high expression levels. Both processes can be easily overcome with the GFP-fusion coupling FACS platform established in this work (Fig. 1), as this platform allows for (i) the analysis of transformant spores harboring target gene–gfp constructs (Fig. 2), and (ii) the identification and sorting/purification of transformants with successful heterologous gene expression (Figs. 4, 5). Coupled with second screening based on the fluorescence value of the pre-selected culture, this application was able to increase the coverage of the candidate transformant library, making it possible to obtain transformants with higher gene expression level (Fig. 1), whilst meanwhile greatly simplifying and shortening the build-test process in T. reesei (from 2 months to 2 weeks, Fig. 1). Although the time scale remains longer in comparison to using E. coli or S. cerevisiae, the high-throughput workflow which we propose in this study makes T. reesei a much more attractive alternative to such model organisms for bioprocessing, considering its hyper lignocellulolytic capability.

The fatty alcohol-producing T. reesei strain constructed in this study demonstrates comparable hexadecanol yield to the initial fatty alcohol cell factory of oleaginous Y. lipolytica, which remains one of the fatty alcohol producers with highest titer and yield after multi-round engineering [34]. Although the engineered T. reesei strain in this work cannot convert cellulose to fatty alcohols (data not shown), due mainly to the low cellulolytic capacity of strain TU-6 for insufficient nutrient supply to support cell growth, the fatty alcohol production pattern when the carbon source glucose (Fig. 6) was used, nonetheless, aided the understanding of fatty acid metabolism in T. reesei and, moreover, its fatty alcohol-producing capacity.

It is clear that filamentous fungi have great potential in the future as efficient cell factories for fatty acid derivatives. Furthermore, their exploitation in this capacity could be expedited by applying sophisticated tools for genetic engineering, such as the GFP-fusion coupling FACS platform we propose in this study.

As a proof-of-concept of the GFP-fusion coupling FACS platform in metabolic pathway construction, we employed single-gene engineering. Nevertheless, combinatorial utilization of additional fluorescent proteins using this platform could hold greater promise for improving multi-step metabolic pathway function in filamentous fungi.

Conclusion

In summary, a GFP-fusion coupling FACS platform was constructed to advance the metabolic engineering of filamentous fungi, in particular the build and test process of the DBTL cycle, by bypassing the laborious verification of gene expressibility, spore separation, and transformant screening. As a proof-of-concept, the first fatty alcohol-producing filamentous fungi cell factory was constructed.

Methods

Strains and culture condition

Escherichia coli strain DH5α was used as the host strain for recombinant plasmid construction. T. reesei strain QM9414 (ATCC 26921) and a uridine auxotrophic T. reesei strain TU-6 (ATCC MYA256) were used in this study. Minimal medium (MM) [49] was used to screen and culture positive T. reesei transformants. It also served as the basal medium for culturing optimization of T. reesei for fatty acid methyl esters and fatty alcohol production. For maintenance and culturing of TU-6, 10 mM uridine was added into the medium.

Plasmid construction

Trpdi2-gfp segment was constructed using overlap PCR following procedures previously reported [50], with Trpdi2-gfp-1F/Trpdi2-gfp-1R (Trpdi2 part, see Trire2 gene accession number in Additional file 1: Table S2 for genes from T. reesei) and Trpdi2-gfp-2F/Trpdi2-gfp-2R (gfp part, GeneBank accession number APQ46081) listed in Table 1 as primers. Trpdi2-gfp segment was then digested with XbaI and NsiI and inserted into digested pRLMex 30 (promoter of pyruvate kinase, no selective marker [51]) to generate p30-Trpdi2-gfp plasmid.
Table 1

Primers used in expression cassette construction in this study

Primer

Sequence

Comments

pyr4-cass-F

TCTAGATATCGGATCCATCCCGGCTTGCGCTTGGACCTCGC

pyr4 expression cassette

pyr4-cass-R

ACTAGTAAGCTTCCTAGGATATGGAAGCTGATATCGTCGACAA

TrPDI2-egfp-1F

AATCTAGAATGGTCTTGATCAAGAGCCT

Trpdi2-gfp segment

TrPDI2-egfp-1R

AACAGCTCCTCGCCCTTGCTCACCAGCTCGTCCTTCTGGTCCTCGT

TrPDI2-egfp-2F

ACGAGGACCAGAAGGACGAGCTGGTGAGCAAGGGCGAGGAGCTGTT

TrPDI2-egfp-2R

ATATGCATTTACTTGTACAGCTCGTCCAT

P19-Ppdc-F

CGGTACGCGCGGATCTTCCAGAGATTCTAGATATCCGCTAGCAGGACTTCCAGGGCTACTTGGCGCG

pdc promoter

Ppdc-gfp-R

TGAACAGCTCCTCGCCCTTGCTCACGTCGACCTTGGGCCCCTGCAGAAGCTTCATGATTGTGCTGTAGCTGCGCTGCTTT

Ppdc-gfp-F

AAAGCAGCGCAGCTACAGCACAATCATGAAGCTTCTGCAGGGGCCCAAGGTCGACGTGAGCAAGGGCGAGGAGCTGTTCA

gfp

gfp-Tcbh1-R

CACTGGCCGTAGTGAGACTGGGTAGCCATGGCTCGAGTTACTTGTACAGCTCGTCCATGCCG

gfp-Tcbh1-F

CGGCATGGACGAGCTGTACAAGTAACTCGAGCCATGGCTACCCAGTCTCACTACGGCCAGTG

cbh1 terminator

Tcbh1-P19-R

GTTTGCACGCCTGCCGTTCGACGATACTAGTCCTAGGTGGCCTCGCAACGGACAAGTTGGTC

P19-Ptef1-F

CGGTACGCGCGGATCTTCCAGAGATTCTAGATATCCGCTAGCGGGACAGAATGTACAGTACTATACT

tef1 promoter

Ptef1-gfp-R

TGAACAGCTCCTCGCCCTTGCTCACGTCGACCTTGGGCCCAAGCTTCATTTTGACGGTTTGTGTGATGTAGCGT

Ptef1-gfp-F

ACGCTACATCACACAAACCGTCAAAATGAAGCTTGGGCCCAAGGTCGACGTGAGCAAGGGCGAGGAGCTGTTCA

gfp

gfp-Tegl1-R

ACGTGCACGTCTTGCACCCGCTGTACTGCAGCTCGAGGTCGACTTACTTGTACAGCTCGTCCATGCCG

gfp-Tegl1-F

CGGCATGGACGAGCTGTACAAGTAAGTCGACCTCGAGCTGCAGTACAGCGGGTGCAAGACGTGCACGT

egl1 terminator

Tegl1-P19-R

GTTTGCACGCCTGCCGTTCGACGATACTAGTCCTAGGTGCATTTCAAGGGCGTTGCTGAGAG

P19-Ppki-F

CGGTACGCGCGGATCTTCCAGAGATTCTAGATATCCGCTAGCATAACGGTGAGACTAGCGGCCGGTC

pki promoter

Ppki-gfp-R

TGAACAGCTCCTCGCCCTTGCTCACGTCGACCTTGGGCCCCTGCAGAAGCTTCATGGTTAAGAGGGTTCTTCCGGCTTCG

Ppki-gfp-F

CGAAGCCGGAAGAACCCTCTTAACCATGAAGCTTCTGCAGGGGCCCAAGGTCGACGTGAGCAAGGGCGAGGAGCTGTTCA

gfp

gfp-Tcbh2-R

TGTTTGAAGCCCGGTCACGAAAGCCCCATGGCTCGAGTTACTTGTACAGCTCGTCCATGCCG

gfp-Tcbh2-F

CGGCATGGACGAGCTGTACAAGTAACTCGAGCCATGGGGCTTTCGTGACCGGGCTTCAAACA

cbh2 terminator

Tcbh2-P19-R

GTTTGCACGCCTGCCGTTCGACGATACTAGTCCTAGGAAGAGGTGGAGTAATTGGAATCTAC

Atfar1-gfp-PstI-F

AAGGCCTGCAGATGGAATCCAATTGTGTTCAATTTC

Atfar1

Atfar1-gfp-SalI-R

AACCTGTCGACTTGTTTAAGCACATGGGTGATGAGG

Atfar6-gfp-PstI-F

AAGGTCTGCAGATGTGTTTTTATGGTGAGACGTCTT

Atfar6

Atfar6-gfp-SalI-R

AACCTGTCGACCTCAGTCTTCTTCTTAGAAAGAAAT

Tafar-gfp-HindIII-F

GGCCTAAGCTTATGGTGTCCATCCCCGAGTACTACG

Tafar1

Tafar-gfp-SalI-R

AACCTGTCGACGTATCGCATGGTGGAAGAGGCTCGA

 

Tef1-RT-F

GCTCTGCTCGCCTACACCCT

Real-time PCR

Tef1-RT-R

TCTCCTTCTCCCAGCCCTTG

Tafar1-RT-F

CCGACCCAACACCTACAC

Tafar1-RT-R

GGTCCGTTAAAGTTGTCAATC

To overcome the issue of lacking enzyme restriction sites in the previously reported plasmids (such as pRLMex 30) for gene expression in T. reesei and to develop basal tools for constructing strains for FACS platform analysis, a series of plasmids were constructed: p19-Ppki-gfp-Tcbh2, p19-Ppdc-gfp-Tcbh1, p19-Ptef1-gfp-Tegl1, p19-Ppki-hph-Tcbh2, and p19-pyr4 (expression cassette of gene encoding orotidine-5′-phosphate decarboxylase). All elements were obtained through PCR with primers listed in Table 1 to introduce enzyme restriction site as the overlapping region at the end of the segments. Corresponding segments were integrated into pSIMPLE-19 EcoRV/BAP vector (Takara Biotechnology, Dalian, China) to form the plasmids using pEASY-Uni Seamless Cloning and Assembly Kit (Transgen Biotech, Beijing, China). The addition of restriction sites allowed insertion of target genes between promoter and gfp marker and easy transmission of all the elements including promoter, gene, and terminator. The biobrick design (addition of isocaudomer sties XbaI, AvrII, NheI, and SpeI) may also be used in the assembly of multiple expression cassettes.

To reconstruct the pathway for fatty alcohol production in T. reesei, the genes were cloned from plant A. thaliana and barn owl T. alba encoding fatty acyl-CoA reductases, which directly catalyze the synthesis of fatty alcohol from fatty acyl-CoA. Atfar1 (GenBank accession number EU280149) and Atfar6 (GenBank accession number NM_115529) segments were obtained by PCR with A. thaliana cDNA as template and primers, respectively, listed in Table 1, and were digested with PstI and SalI. Synthesized T. alba Tafar1 (GenBank accession number JN638549) was digested with HindIII and SalI. The digested Atfar1, Atfar6, and Tafar1 were then separately inserted into digested p19-Ppdc-gfp-Tcbh1 to generate plasmids p19-Ppdc-Atfar1-gfp-Tcbh1, p19-Ppdc-Atfar6-gfp-Tcbh1, and p19-Ppdc-Tafar1-gfp-Tcbh1.

Construction of T. reesei strains

Trichoderma reesei strain expressing Trpdi2-gfp was constructed through co-transformation of p30-Trpdi2-gfp and pyr4-pBluescript (plasmid harboring gene encoding orotidine-5′-phosphate decarboxylase) into TU-6 as described previously [49, 52]. Trpdi2-gfp-TU-6 strain and corresponding control strain pyr4-TU-6 were obtained traditionally after genome PCR and spore separation. T. reesei strains expressing gfp under different promoters were constructed by co-transformation of p19-pyr4 with p19-Ppki-gfp-Tcbh2, p19-Ppdc-gfp-Tcbh1, or p19-Ptef1-gfp-Tegl1 plasmids into TU-6, respectively. To test the functional viability, T. reesei strains expressing far-gfp were constructed through co-transformation of p19-pyr4 with p19-Ppdc-Atfar1-gfp-Tcbh1, p19-Ppdc-Atfar6-gfp-Tcbh1, or p19-Ppdc-Tafar1-gfp-Tcbh1 plasmids into TU-6, respectively. The pdc promoter was used for its high driving strength under high glucose concentration, which is beneficial for fatty acid derivative induction due to the high C/N ratio. Putative transformants of T. reesei strains expressing gfp or far-gfp (40 for each transformation) were transferred from selective medium (MM) with sorbitol to MM for accumulating spores (transformant pool), which were collected for subsequent analysis and sorting by flow cytometry.

Flow cytometry analysis and cell sorting

Spores (~ 106/ml) prepared by collection from MM culture and the following filtration through four-layer lens cleaning paper, or protoplast (~ 106/ml) obtained by enzymatic treatment of fresh hyphae (detailed in Additional file 1: Methods) were used for analysis and cell sorting with flow cytometry using a MoFlo™ XDP cell sorter (Beckman Coulter Inc., Brea, California, USA). Analysis and cell sorting with flow cytometry were performed at a rate of 20,000 events per second. An initial scatter-gating step was conducted based on cell’s forward-scatter properties to collect data from single cells. The 488 nm laser was used to excite the GFP protein and 528/29 filter was used to detect the fluorescence signal. Flow cytometry analysis was performed by analyzing 100,000 cells of each sample. A gate was set to define positive spores expressing gfp or far-gfp based on the difference of their fluorescence value from reference spores (pyr4-TU-6). FACS was performed for the gate-defined spores expressing gfp and Tafar1-gfp and cell sorting of pyr4-TU-6 spores was carried out randomly for the whole spore population. Spores were sorted into 96-well clear-bottom black plates (Corning, New York, USA) with 200 µl liquid MM with one spore per well. pyr4-TU-6 spores (Con) and spores expressing gfp (G6) and Tafar1-gfp were sorted into one, one, and five 96-well plates, respectively. After 7 days of culturing in darkness (28 °C, 180 rpm), a secondary screen was carried out with a microplate reader (SpectraMax M2e, Molecular Devices, Sunnyvale, CA, USA) to confirm the positive transformants and to select transformants with high expression levels according to the fluorescence/OD600 value. Fluorescence was measured with the excitation wavelength of 488 nm and emission wavelength of 530 nm.

Fatty alcohol extraction and quantification

Following secondary screening, cultures showing different fluorescence values (n = 10 for each group) were selected and inoculated onto MM plate for spore generation. 107 spores were subsequently inoculated into 5 ml modified MM (100 g/l glucose and 1 g/l ammonium sulfate) in 50 ml falcon tube and cultured at 28 °C and 180 rpm for 48 h. The cultures were collected and ~ 30 mg freeze-dried hyphae were used for intracellular fatty alcohol extraction. T. reesei cells were broken with a glass homogenizer for 30 s at 4 °C and cell debris was resuspended with 600 μl hexane and disrupted using glass beads with Vortex-Genie 2 (Scientific Industries, New York, USA) for 30 min. After centrifugation at 14,000g for 5 min, supernatant was collected for quantification with GC–FID (GC-2010, Shimadzu, Kyoto, Japan). Fatty alcohol analysis with GC–FID was performed as previously described [53].

For evaluation of strain performance with shake-flask fermentation, 107 spores were inoculated into 50 ml modified MM (100 g/l glucose and 1 g/l ammonium sulfate) with or without 5 ml dodecane overlay in 250 ml shake flasks and cultured at 28 °C and 180 rpm over 144 h. Biomass was then quantified on freeze-dried hyphae of 50 ml culture. Glucose concentration was determined using high-performance liquid chromatography as previously described [54]. Intracellular fatty alcohol was extracted and quantified with the procedures described as above. Extracellular fatty alcohol from cell culture without dodecane was extracted by leaching all supernatant with 2.5 ml hexane for 1 h, and the extract was analyzed with GC–FID after centrifugation at 14,000g for 5 min. Extracellular fatty alcohol from cell culture with dodecane addition was quantified by GC–FID analysis of the tenfold diluted dodecane extract with hexane.

Transcript-level quantification

Spores of randomly selected strains (T1, T2, and T3) were inoculated and cultivated as described above and 48 h cell culture was subjected to RNA extraction, reverse transcription, and quantitative PCR for Tafar1 expression level as previously described [55].

Declarations

Authors’ contributions

GW and DZ conceived and designed the study. GW, WJ, NC, KZ, LW, PL, RH, and MW conducted experiments and acquired data. GW and DZ analyzed the data and wrote manuscript. All authors read and approved the final manuscript.

Acknowledgements

We thank Prof. Monika Schmoll for generously providing T. reesei TU-6 strain and pyr4-pBluescript plasmid. We thank Dr. Liangcai Lin and Dr. Xiaochao Xiong for the helpful discussion. We also thank Dr. Kate Campbell and Dr. V. R. S. S. Mokkapati for the comments and suggestions.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its additional file.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This article does not contain any studies with human participants or animals performed by any of the authors.

Funding

This study was funded by the National Natural Science Foundation of China for the Youth (Nos. 21406259; 21406260) and the Hi-Tech Research and Development Program (863) of China (2014AA021906).

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Authors’ Affiliations

(1)
Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, People’s Republic of China
(2)
Tangshan Academy of Agricultural Sciences, Tangshan, 063001, People’s Republic of China

References

  1. Yim H, Haselbeck R, Niu W, Pujol-Baxley C, Burgard A, Boldt J, Khandurina J, Trawick JD, Osterhout RE, Stephen R, et al. Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol. Nat Chem Biol. 2011;7:445–52.View ArticleGoogle Scholar
  2. Zhu X, Tan Z, Xu H, Chen J, Tang J, Zhang X. Metabolic evolution of two reducing equivalent-conserving pathways for high-yield succinate production in Escherichia coli. Metab Eng. 2014;24:87–96.View ArticleGoogle Scholar
  3. Nielsen J, Larsson C, van Maris A, Pronk J. Metabolic engineering of yeast for production of fuels and chemicals. Curr Opin Biotechnol. 2013;24:398–404.View ArticleGoogle Scholar
  4. Peralta-Yahya PP, Zhang F, del Cardayre SB, Keasling JD. Microbial engineering for the production of advanced biofuels. Nature. 2012;488:320–8.View ArticleGoogle Scholar
  5. Paddon CJ, Westfall PJ, Pitera DJ, Benjamin K, Fisher K, McPhee D, Leavell MD, Tai A, Main A, Eng D, et al. High-level semi-synthetic production of the potent antimalarial artemisinin. Nature. 2013;496:528–32.View ArticleGoogle Scholar
  6. Westfall PJ, Pitera DJ, Lenihan JR, Eng D, Woolard FX, Regentin R, Horning T, Tsuruta H, Melis DJ, Owens A, et al. Production of amorphadiene in yeast, and its conversion to dihydroartemisinic acid, precursor to the antimalarial agent artemisinin. Proc Natl Acad Sci USA. 2012;109:E111–8.View ArticleGoogle Scholar
  7. Nielsen J, Keasling JD. Engineering cellular metabolism. Cell. 2016;164:1185–97.View ArticleGoogle Scholar
  8. Steen EJ, Kang Y, Bokinsky G, Hu Z, Schirmer A, McClure A, Del Cardayre SB, Keasling JD. Microbial production of fatty-acid-derived fuels and chemicals from plant biomass. Nature. 2010;463:559–62.View ArticleGoogle Scholar
  9. Rosano GL, Ceccarelli EA. Recombinant protein expression in Escherichia coli: advances and challenges. Front Microbiol. 2014;5:172.Google Scholar
  10. Ajikumar PK, Xiao WH, Tyo KE, Wang Y, Simeon F, Leonard E, Mucha O, Phon TH, Pfeifer B, Stephanopoulos G. Isoprenoid pathway optimization for Taxol precursor overproduction in Escherichia coli. Science. 2010;330:70–4.View ArticleGoogle Scholar
  11. Teo WS, Ling H, Yu AQ, Chang MW. Metabolic engineering of Saccharomyces cerevisiae for production of fatty acid short- and branched-chain alkyl esters biodiesel. Biotechnol Biofuels. 2015;8:177.View ArticleGoogle Scholar
  12. Liu X, Cheng J, Zhang G, Ding W, Duan L, Yang J, Kui L, Cheng X, Ruan J, Fan W, et al. Engineering yeast for the production of breviscapine by genomic analysis and synthetic biology approaches. Nat Commun. 2018;9:448.View ArticleGoogle Scholar
  13. Wang G, Huang M, Nielsen J. Exploring the potential of Saccharomyces cerevisiae for biopharmaceutical protein production. Curr Opin Biotechnol. 2017;48:77–84.View ArticleGoogle Scholar
  14. Hu P, Chakraborty S, Kumar A, Woolston B, Liu H, Emerson D, Stephanopoulos G. Integrated bioprocess for conversion of gaseous substrates to liquids. Proc Natl Acad Sci USA. 2016;113:3773–8.View ArticleGoogle Scholar
  15. Zhang L, Liu Q, Ge Y, Li L, Gao C, Xu P, Ma C. Biotechnological production of acetoin, a bio-based platform chemical, from a lignocellulosic resource by metabolically engineered Enterobacter cloacae. Green Chem. 2016;18:1560–70.View ArticleGoogle Scholar
  16. Wen F, Sun J, Zhao H. Yeast surface display of trifunctional minicellulosomes for simultaneous saccharification and fermentation of cellulose to ethanol. Appl Environ Microbiol. 2010;76:1251–60.View ArticleGoogle Scholar
  17. Hasunuma T, Kondo A. Development of yeast cell factories for consolidated bioprocessing of lignocellulose to bioethanol through cell surface engineering. Biotechnol Adv. 2012;30:1207–18.View ArticleGoogle Scholar
  18. Diao L, Liu Y, Qian F, Yang J, Jiang Y, Yang S. Construction of fast xylose-fermenting yeast based on industrial ethanol-producing diploid Saccharomyces cerevisiae by rational design and adaptive evolution. BMC Biotechnol. 2013;13:110.View ArticleGoogle Scholar
  19. Wei N, Quarterman J, Kim SR, Cate JH, Jin YS. Enhanced biofuel production through coupled acetic acid and xylose consumption by engineered yeast. Nat Commun. 2013;4:2580.View ArticleGoogle Scholar
  20. Higashide W, Li Y, Yang Y, Liao JC. Metabolic engineering of Clostridium cellulolyticum for production of isobutanol from cellulose. Appl Environ Microbiol. 2011;77:2727–33.View ArticleGoogle Scholar
  21. Lin PP, Mi L, Morioka AH, Yoshino KM, Konishi S, Xu SC, Papanek BA, Riley LA, Guss AM, Liao JC. Consolidated bioprocessing of cellulose to isobutanol using Clostridium thermocellum. Metab Eng. 2015;31:44–52.View ArticleGoogle Scholar
  22. Ahamed A, Vermette P. Culture-based strategies to enhance cellulase enzyme production from Trichoderma reesei RUT-C30 in bioreactor culture conditions. Biochem Eng J. 2008;40:399–407.View ArticleGoogle Scholar
  23. Xu Q, Singh A, Himmel ME. Perspectives and new directions for the production of bioethanol using consolidated bioprocessing of lignocellulose. Curr Opin Biotechnol. 2009;20:364–71.View ArticleGoogle Scholar
  24. Wang G, Lv P, He R, Wang H, Wang L, Zhang D, Chen S. Protein disulfide isomerase homolog TrPDI2 contributing to cellobiohydrolase production in Trichoderma reesei. Enzyme Microb Technol. 2015;77:21–8.View ArticleGoogle Scholar
  25. Zou G, Shi S, Jiang Y, van den Brink J, de Vries RP, Chen L, Zhang J, Ma L, Wang C, Zhou Z. Construction of a cellulase hyper-expression system in Trichoderma reesei by promoter and enzyme engineering. Microb Cell Fact. 2012;11:21.View ArticleGoogle Scholar
  26. Throndset W, Kim S, Bower B, Lantz S, Kelemen B, Pepsin M, Chow N, Mitchinson C, Ward M. Flow cytometric sorting of the filamentous fungus Trichoderma reesei for improved strains. Enzyme Microb Technol. 2010;47:335–41.View ArticleGoogle Scholar
  27. Throndset W, Bower B, Caguiat R, Baldwin T, Ward M. Isolation of a strain of Trichoderma reesei with improved glucoamylase secretion by flow cytometric sorting. Enzyme Microb Technol. 2010;47:342–7.View ArticleGoogle Scholar
  28. Li J, Wang J, Wang S, Xing M, Yu S, Liu G. Achieving efficient protein expression in Trichoderma reesei by using strong constitutive promoters. Microb Cell Fact. 2012;11:1–10.View ArticleGoogle Scholar
  29. Jovanović B, Mach RL, Mach-Aigner AR. Erythritol production on wheat straw using Trichoderma reesei. AMB Express. 2014;4:34.View ArticleGoogle Scholar
  30. Bischof R, Fourtis L, Limbeck A, Gamauf C, Seiboth B, Kubicek CP. Comparative analysis of the Trichoderma reesei transcriptome during growth on the cellulase inducing substrates wheat straw and lactose. Biotechnol Biofuels. 2013;6:1.View ArticleGoogle Scholar
  31. Fillet S, Gibert J, Suarez B, Lara A, Ronchel C, Adrio JL. Fatty alcohols production by oleaginous yeast. J Ind Microbiol Biotechnol. 2015;42:1463–72.View ArticleGoogle Scholar
  32. Doan TT, Carlsson AS, Hamberg M, Bulow L, Stymne S, Olsson P. Functional expression of five Arabidopsis fatty acyl-CoA reductase genes in Escherichia coli. J Plant Physiol. 2009;166:787–96.View ArticleGoogle Scholar
  33. Feussner I, Heilmann M. Methods and means to alter lipid biosynthesis by targeting multiple enzymes to suborganelle domains. Google Patents; 2012.Google Scholar
  34. Wang G, Xiong X, Ghogare R, Wang P, Meng Y, Chen S. Exploring fatty alcohol-producing capability of Yarrowia lipolytica. Biotechnol Biofuels. 2016;9:107.View ArticleGoogle Scholar
  35. Hellenbrand J, Biester E-M, Gruber J, Hamberg M, Frentzen M. Fatty acyl-CoA reductases of birds. BMC Biochem. 2011;12:64.View ArticleGoogle Scholar
  36. Hua X, Yuan X, Wilhelmus KR. A fungal pH-responsive signaling pathway regulating Aspergillus adaptation and invasion into the cornea. Invest Ophthalmol Vis Sci. 2010;51:1517–23.View ArticleGoogle Scholar
  37. Tang X, Chen WN. Enhanced production of fatty alcohols by engineering the TAGs synthesis pathway in Saccharomyces cerevisiae. Biotechnol Bioeng. 2015;112:386–92.View ArticleGoogle Scholar
  38. Wang W, Wei H, Knoshaug E, Van Wychen S, Xu Q, Himmel ME, Zhang M. Fatty alcohol production in Lipomyces starkeyi and Yarrowia lipolytica. Biotechnol Biofuels. 2016;9:227.View ArticleGoogle Scholar
  39. d’Espaux L, Ghosh A, Runguphan W, Wehrs M, Xu F, Konzock O, Dev I, Nhan M, Gin J, Apel AR, et al. Engineering high-level production of fatty alcohols by Saccharomyces cerevisiae from lignocellulosic feedstocks. Metab Eng. 2017;42:115–25.View ArticleGoogle Scholar
  40. Liang S, Bipatnath M, Xu Y, Chen S, Dennis P, Ehrenberg M, Bremer H. Activities of constitutive promoters in Escherichia coli. J Mol Biol. 1999;292:19–37.View ArticleGoogle Scholar
  41. Partow S, Siewers V, Bjorn S, Nielsen J, Maury J. Characterization of different promoters for designing a new expression vector in Saccharomyces cerevisiae. Yeast. 2010;27:955–64.View ArticleGoogle Scholar
  42. Schwartz C, Shabbir-Hussain M, Frogue K, Blenner M, Wheeldon I. Standardized markerless gene integration for pathway engineering in Yarrowia lipolytica. ACS Synth Biol. 2016;6:402–9.View ArticleGoogle Scholar
  43. Englaender JA, Jones JA, Cress BF, Kuhlman TE, Linhardt RJ, Koffas MA. Effect of genomic integration location on heterologous protein expression and metabolic engineering in E. coli. ACS Synth Biol. 2017;6:710–20.View ArticleGoogle Scholar
  44. Casselton LA, de la Fuente Herce A. Heterologous gene expression in the basidiomycete fungus Coprinus cinereus. Curr Genet. 1989;16:35–40.View ArticleGoogle Scholar
  45. Ngoepe MG. Heterologous expression of a Mukwa (pterocarpus angolensis) seed lectin (Pal) gene in Escherichia coli, Saccharomyces cerevisiae and Yarrowia lipolytica and construction of Pal recombinant vector for expression in Aspergillus niger. Limpopo: University of Limpopo (Turfloop Campus); 2011.Google Scholar
  46. Fakruddin M, Mohammad Mazumdar R, Bin Mannan KS, Chowdhury A, Hossain MN. Critical factors affecting the success of cloning, expression, and mass production of enzymes by recombinant E. coli. ISRN Biotechnol. 2013;2013:590587.View ArticleGoogle Scholar
  47. Tanaka M, Tokuoka M, Gomi K. Effects of codon optimization on the mRNA levels of heterologous genes in filamentous fungi. Appl Microbiol Biotechnol. 2014;98:3859–67.View ArticleGoogle Scholar
  48. Elena C, Ravasi P, Castelli ME, Peiru S, Menzella HG. Expression of codon optimized genes in microbial systems: current industrial applications and perspectives. Front Microbiol. 2014;5:21.View ArticleGoogle Scholar
  49. Penttila M, Nevalainen H, Ratto M, Salminen E, Knowles J. A versatile transformation system for the cellulolytic filamentous fungus Trichoderma reesei. Gene. 1987;61:155–64.View ArticleGoogle Scholar
  50. Wang G, Wang H, Xiong X, Chen S, Zhang D. Mitochondria thioredoxin’s backup role in oxidative stress resistance in Trichoderma reesei. Microbiol Res. 2015;171:32–8.View ArticleGoogle Scholar
  51. Mach RL, Schindler M, Kubicek CP. Transformation of Trichoderma reesei based on hygromycin B resistance using homologous expression signals. Curr Genet. 1994;25:567–70.View ArticleGoogle Scholar
  52. Gruber F, Visser J, Kubicek CP, de Graaff LH. The development of a heterologous transformation system for the cellulolytic fungus Trichoderma reesei based on a pyrG-negative mutant strain. Curr Genet. 1990;18:71–6.View ArticleGoogle Scholar
  53. Liu R, Zhu F, Lu L, Fu A, Lu J, Deng Z, Liu T. Metabolic engineering of fatty acyl-ACP reductase-dependent pathway to improve fatty alcohol production in Escherichia coli. Metab Eng. 2014;22:10–21.View ArticleGoogle Scholar
  54. Ma L, Li C, Yang Z, Jia W, Zhang D, Chen S. Kinetic studies on batch cultivation of Trichoderma reesei and application to enhance cellulase production by fed-batch fermentation. J Biotechnol. 2013;166:192–7.View ArticleGoogle Scholar
  55. Wang G, Zhang D, Chen S. Effect of earlier unfolded protein response and efficient protein disposal system on cellulase production in Rut C30. World J Microbiol Biotechnol. 2014;30:2587–95.View ArticleGoogle Scholar

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