Selecting a Chassis Fungal Organism: Aspergillus niger
In order to design a cell factory, we had to consider the choice of organism carefully. Through lectures at the university, investigation of literature, and talks with stakeholders in our Human Practices work, it became obvious that filamentous fungi have a high potential for industrial production. To make our project as industrially relevant as possible, we chose the filamentous fungi Aspergillus niger as our host, as it is commonly used in enzyme and secondary metabolite producing companies, such as Novozymes, with whom we had close contact.
In order to make the work with A. niger easily accessible, we decided to provide a structured workflowof the work with A. niger with attached protocols, which can also be found on the contribution page.
Engineering Principles
To modify the genome of A. niger, we decided to use USER cloning for plasmid construction, and CRISPR-Cas9 for genome engineering.
USER Cloning and Fusion
USER stands for Uracil-Specific Excision Reagent. It is a method to directionally clone inserts into a USER compatible vector by the use of a USER nicking enzyme. The sequence for insert is created through primers, with one uracil and a tail that is compatible with a uracil cloning site in the vector, amplified through PCR. This product is treated with Uracil-Specific Excision Reagent, removing the U and the attached strand from the double-stranded DNA, creating an overhang ready for cloning.
A USER cloning cassette within the USER compatible vector can be digested with the restriction enzymes PacI and Nt.BbvCI to create overhangs that match the insert’s USER overhangs. PacI creates a small overhang whereafter Nt.BbvCI makes a single-strand nick, which creates an eight bp long 5’ overhang. When mixed, the insert and vector will assemble and create the designed vector.
To assemble multiple fragments, one can use USER fusion where several products for insertion can be created with compatible user overhangs and assembled in a USER compatible vector (Nour-Eldin et al., 2010), as seen in the figure below. The USER tails in grey will match with the USER compatible vector and the USER tails that will assemble the fragments to each other are designed so when combined they will create the crispr RNA (crRNA), explained in the section below. The region is delimited by a promoter and a terminator to ensure transcription of the insert into messenger RNA (mRNA), and the sgRNA (which is the combination of the crRNA and the backbone of the gRNA) is flanked by two tRNA. These are located here due to their ability to auto-cleave from the mRNA after transcription, which frees the sgRNA making it able to bind to Cas9 and edit the genome.
CRISPR-Cas9
The CRISPR-Cas9 system is a viral defense mechanism originating from Streptococcus pyogenes. During the last decade, the system has been discovered and investigated, where it has shown high efficiency in genomic engineering. Since its discovery, it has been adapted for genomic engineering for several species. Recently, it has been adapted to fungal systems, specifically Aspergillus niger (Nødvig et al., 2015).
Cas9 (CRISPR associated protein 9) is an RNA-guided endonuclease. The crispr RNA (crRNA) is what makes the system so specific, as it guides the Cas9 along with the tracrRNA (gRNA backbone) to its target in the genome, where it cuts 3 nucleotides (nt) upstream of the PAM sequence (NGG). Since the working strain is NHEJ deficient, it has to use HDR to repair the break, allowing the creation of indels.
When the deletion is the desired result, the fungus must be transformed with the plasmid containing both the Cas9 and the two sgRNAs to make the two cuts, one upstream and another downstream of the gene. It has to be transformed with a repair oligo as well, of around 90 nucleotides long. Its sequence must consist of regions located close to where the gap has been created. In this way, by HDR using this oligomer as a template, the break is mended with the previous sequence removed.
On the contrary, if the objective of the transformation is to produce an insertion, the fungus has to be transformed with a linearized sequence containing the construct to be inserted, flanked by two homology regions, of between 1 and 2 kb long. These regions can be designed to target specifically one of the studied insertion sites in A. niger. As seen in the figure below, the homology arms in the linearized plasmid can therefore recombine with the genome, introducing the desired construct within.
In order to improve efficiency, a double-stranded break can be introduced in between both homology regions to force the fungus to repair the break via HDR with the linearized plasmid. This is done similarly to the knockout strategy, with a plasmid containing Cas9 and in this case only one sgRNA that targets the sequence in between the homology regions.
ΔaplD ΔarfA ΔchsC Δgul-1 ΔpkaR ΔracA ΔspaAMorphology
In order to optimize fungal morphology, the team conducted research within published studies relevant to this topic. This led to the discovery of seven interesting genes with diverging morphological traits when engineered; interesting for industrial setups. Some of these gene-knockouts had already been tested in A. niger, and some had only been tested within other strains. To make novel research, we decided to not only create single gene mutated strains, but also make double knockout strains. Additionally, the novelty of the project would lie within the data created through the bioreactors, BioLector and the simulation and parameter determination from the microscopic pictures.
Genes for Morphology Engineering
The genes chosen to be engineered were aplD, arfA, chsC, gul-1, pkaR, racA and spaA. Information about the individual genes and previous engineering performed can be found by clicking on the images of the genes below.
To study the effect of changing the expression level of the genes of interest, we designed to knock the genes out, as well as re-insert them using 2 different promoters from the DTU iGEM 2019 team LEAP’s promoters, to test down- and up-regulation. However, due to time limitations, only the knockouts were feasible, whereas the plasmids for inserts were designed but not finished. Below a table can be found which include previous engineering strategies and the novel engineering work performed during this project.
Information
Previous Genetic Engineering
Novel Engineering Preformed
aplD (Cairns et al., 2019)
Gamma-adaptin
Knockout, Down- and Upregulation
arfA (Fiedler et al., 2018)
Small GTPase
Knockout, Down- and Upregulation
chsC
(Sun et al., 2018)Chitin synthase
Knockout
Double Knockout
gul-1
(Lin et al., 2018)mRNA binding protein involved in cell wall remodelling
Knockout, Down- and Upregulation in N. crassa
Knockout and Double Knockout in A. niger
pkaR
(Sun & Su, 2019; Lee et al., 1998)Regulatory subunit of PKA
Downregulation in N. crassa
Knockout in A. niger
racA (Kwon et al., 2013)
Rho GTPase
Knockout, Down- and Upregulation
spaA (Meyer et al., 2008)
Might ensure polarity maintenance
Knockout, Down- and Upregulation
Double Knockout
Design of Plasmids for Knockout and Insertion
Each gene had properties that should be handled in different ways. To design the genetic modifications, we chose to use CRISPR/Cas-9 and USER cloning for both knockouts and insertions.
Knockouts
To create the knockouts, the crRNA sequences were designed to match each of the seven genes. For this, two protospacer sequences were found in the beginning and end of each gene and used as overhangs on the primers to create the components of gRNA and tRNA’s. Through PCR with these primers and the template pFC902 (BBa_K3385001) provided by DTU Bioengineering, we created biobricks to assemble the CRISPR knockout vector. The backbone of this vector was pFC330_pCas9_pyrG (BBa_K3385000), which encoded pyrG as a selection marker and contained the AMA1 sequence for plasmid replication in fungi (Nødvig et al., 2018).
The mutants created through knockout engineering were tested. More information can be found under the section Measurements.
Insertions for Down- and Upregulation
The backbone of the plasmid was an inhouse plasmid. From this plasmid, we used the homologous recombination regions IS-NIG1 up and down for integration site 1 in A. niger. Additionally, the plasmid included the terminator (TtrpC), the ori sequence for E.coli replication and the ampR gene.
Biobricks were designed for the two promoters and inserted into the plasmid, creating a USER cloning site between promoter and terminator creating the plasmids pIGEM1_IS-NIG1_PLEAPmstA_USER_ttrpC and pIGEM1_IS-NIG1_PLEAPunk_1_USER_ttrpC. The final plasmids were then ready for insertion of the genes. The genes were amplified with USER overhangs and the final plasmids could be assembled together (pIGEM1_IS-NIG1_PLEAP(mstA/unk)_genename_ttrpC).
Protein Secretion
Signal Peptides
Signal peptides (SPs) are relatively short amino acid sequences, 16-30 amino acids, located at the N-terminal of protein sequences. They are used by cells as a recognition signal for proteins, to localize the proteins in their functioning location.
Library Design
We wanted to improve protein secretion in A. niger. To select native signal peptides, we looked into the literature to find highly expressed proteins in A. niger (Borin et al., 2015). The protein sequence was found on aspgd.org (Cerqueira et al., 2014) and analyzed in SignalP-5.0 (Almagro Armenteros et al., 2019) to find the SP sequence. Our drylab team made a model to predict optimal SP sequences for secreting any protein, SignalPrepper, from which we selected 5 signal peptides.
Protein
Signal amino acid sequence
Native signal peptides in A. niger (Borin et al., 2015)
Feruloylesterase A (faeA)
MKQFSAKYALILLATAGQALA
Pectinesterase (pmeA)
MVKSILASVFFAATALA
Endopolygalacturonase I (pgaI)
MHSYQLLGLAAVGSLVSA
Exo-1,4-beta-xylosidase (xlnD)
MAHSMSRPVAATAAALLALALPQALA
Xyloglucan-specific endo-beta-1,4-glucanase A (eglA)
MKLPVTLAMLAATAMG
Beta-galactosidase (lacA)
MKLSSACAIALLAAQAAG
Endo-beta-1,4-glucanase B (eglB)
MKFQSTLLLAAAAGSALA
1,4-beta-D-glucan cellobiohydrolase A (cbhA)
MHQRALLFSALLTAVRA
1,4-beta-D-glucan cellobiohydrolase B (cbhB)
MSSFQVYRAALLLSILATANA
Glucoamylase (glaA)
MSFRSLLALSGLVCTGLA
Synthetic signal peptides - predicted by SignalPrepper
SigPower
MYQRFSILFLVLLFLLFDEALA
SigPilot
MRLHMLFLLAVALCLTLDTALA
SigPineapple
MVKMFSLAALIFLLITLDQALA
SigPeanut
MFRCGSLFLVLCLLLVVDRALA
SigPuppy
MSRWLLLCAILCICILMEPALA
To characterize these we had to design an expression platform. We chose to work with the native glucoamylase enzyme (encoded by glaA) to measure the secretion levels for the different signal peptides, as its activity can easily be measured through an assay, see our measurement page.For the promoter, we chose one from the DTU-Denmark 2019 teams big promoter library, PLEAPmstA_1 part BBa_K3046005. We used Ttef as the terminator, part BBa_K3046018.
We wanted the expression platform to be integrated into the A. niger genome. An integration platform for A. niger was already designed by the DTU-Denmark 2019 team. Part BBa_K3046030 pGIA2P1 contains homologous regions for integration in the albA conidial pigment gene. Inserting into this gene therefore also serves as a selection marker as the colonies will have light conidiophores instead of dark ones.
As glucoamylase is a native enzyme in A. niger, we had to knock out the glaA gene to ensure that the activity we were seeing was due to our insert and not the natural production. For this we again used the CRISPR-Cas9 system as described in morphology section.
The first construct of our expression platform contained the native signal peptide for glaA. The platform is designed so that you can easily replace the signal peptide by primer extending PCR amplification and USER cloning. Primers, which were designed with overhangs containing the replacing signal peptide, were used to amplify the expression platform. It was then cloned together to form the expression platform containing the new signal peptides.
As it can be seen in the figure below, all the different signal peptide vectors were then linearized through PCR and inserted into A. niger in order to obtain all the mutants.
References
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Nødvig, C., Nielsen, J., Kogle, M., & Mortensen, U. (2015). A CRISPR-Cas9 System for Genetic Engineering of Filamentous Fungi. PLOS ONE, 10(7), e0133085. doi: 10.1371/journal.pone.0133085
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Nour-Eldin, H., Geu-Flores, F., & Halkier, B. (2010). USER Cloning and USER Fusion: The Ideal Cloning Techniques for Small and Big Laboratories. Plant Secondary Metabolism Engineering, 185-200. doi: 10.1007/978-1-60761-723-5_13
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Cairns, T. C., Feurstein, C., Zheng, X., Zheng, P., Sun, J., & Meyer, V. (2019). A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger. Biotechnology for Biofuels, 12 (1). doi: 10.1186/s13068-019-1473-0
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Fiedler, M. R. M., Cairns, T. C., Koch, O., Kubisch, C., & Meyer, V. (2018). Conditional Expression of the Small GTPase ArfA Impacts Secretion, Morphology, Growth, and Actin Ring Position in Aspergillus niger. Frontiers in Microbiology, 9. doi: 10.3389/fmicb.2018.00878
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Sun, X., Wu, H., Zhao, G., Li, Z., Wu, X., Liu, H., & Zheng, Z. (2018). Morphological regulation of Aspergillus niger to improve citric acid production by chsC gene silencing. Bioprocess and Biosystems Engineering, 41 (7), 1029–1038. doi: 10.1007/s00449-018-1932-1
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Lin, L., Sun, Z., Li, J., Chen, Y., Liu, Q., Sun, W., & Tian, C. (2018). Disruption of gul-1 decreased the culture viscosity and improved protein secretion in the filamentous fungus Neurospora crassa. Microbial Cell Factories, 17 (1). doi: 10.1186/s12934-018-0944-5
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Sun, X., & Su, X. (2019). Harnessing the knowledge of protein secretion for enhanced protein production in filamentous fungi. World Journal Of Microbiology And Biotechnology, 35(4). doi: 10.1007/s11274-019-2630-0
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Lee, I. H., Walline, R. G., & Plamann, M. (1998). Apolar growth of Neurospora crassa leads to increased secretion of extracellular proteins. Molecular Microbiology, 29 (1), 209–218. doi: 10.1046/j.1365-2958.1998.00923.x
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Kwon, M. J., Nitsche, B. M., Arentshorst, M., Jørgensen, T. R., Ram, A. F. J., & Meyer, V. (2013). The Transcriptomic Signature of RacA Activation and Inactivation Provides New Insights into the Morphogenetic Network of Aspergillus niger. PLoS ONE, 8 (7), e68946. doi: 10.1371/journal.pone.0068946
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Meyer, V., Arentshorst, M., van den Hondel, C. A. M. J. J., & Ram, A. F. J. (2008). The polarisome component SpaA localises to hyphal tips of Aspergillus niger and is important for polar growth. Fungal Genetics and Biology, 45 (2), 152–164. doi: 10.1016/j.fgb.2007.07.006
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Nødvig, C. S., Hoof, J. B., Kogle, M. E., Jarczynska, Z. D., Lehmbeck, J., Klitgaard, D. K., & Mortensen, U. H. (2018). Efficient oligo nucleotide mediated CRISPR-Cas9 gene editing in Aspergilli. Fungal Genetics and Biology, 115, 78–89. doi: 10.1016/j.fgb.2018.01.004
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Borin, G. P., Sanchez, C. C., de Souza, A. P., de Santana, E. S., de Souza, A. T., Leme, A. F. P., Squina, F. M., Buckeridge, M., Goldman, G. H., & Oliveira, J. V. de C. (2015). Comparative Secretome Analysis of Trichoderma reesei and Aspergillus niger during Growth on Sugarcane Biomass. PLOS ONE, 10(6), e0129275. doi: 10.1371/journal.pone.0129275
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Cerqueira, G. C., Arnaud, M. B., Inglis, D. O., Skrzypek, M. S., Binkley, G., Simison, M., Miyasato, S. R., Binkley, J., Orvis, J., Shah, P., Wymore, F., Sherlock, G., & Wortman, J. R. (2014). The Aspergillus Genome Database: multispecies curation and incorporation of RNA-Seq data to improve structural gene annotations. Nucleic Acids Research, 42, D705–710. doi: 10.1093/nar/gkt1029
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Almagro Armenteros, J. J., Tsirigos, K. D., Sønderby, C. K., Petersen, T. N., Winther, O., Brunak, S., von Heijne, G., & Nielsen, H. (2019). SignalP 5.0 improves signal peptide predictions using deep neural networks. Nature Biotechnology, 37(4), 420–423. doi: 10.1038/s41587-019-0036-z
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