Abstract

In bacteria, protein secretion is mainly orchestrated by the Sec Pathway via Signal Peptides (SP), which are located at the N-terminus of secreted proteins. The secretion efficiency is not determined by the sequence of the SP alone, but instead is the combined result of an SP with its specific target protein. This necessitates establishing efficient screening procedures to evaluate all possible SP/target protein combinations. We developed such an approach for our Signal Peptide Toolbox, which contains 74 Sec-dependent SPs. It combines combinatorial construction with highly reproducible, quantitative measurements. By applying this procedure, we demonstrate the secretion of three different proteins and succeeded in identifying the most potent SP-protein combination for each of them. This thoroughly evaluated measurement tool, in combination with our SP toolbox (fully available via the partsregistry) enables an organism-independent, straightforward approach to identifying the best combination of SP with any protein of interest.

Background

Over the course of the last decades the quality, amount and spectrum of heterologous (and recombinant) proteins has drastically increased and therefore the need for techniques to easily express and purify these proteins has emerged. We find such proteins as ingredients of detergents (proteases), medical treatments (insulin) or food and beverage products (amylases). Simply put, heterologous proteins are ubiquitously present. [1]

In order to tackle this demand we chose to apply the genetic tools of the model organism Bacillus subtilis. It is already one of the most frequently used hosts for overproduction of proteins throughout academia and industry because of its tremendous capacity to secret proteins, which can be exploited to increase the overall yields.

B. subtilis has four different secretion pathways, however the majority of proteins are being secreted via the general Sec pathway (Figure 1). This pathway has been identified playing a crucial role in protein secretion as common element among all domains of life [2]. In the Sec pathway, the secretion of proteins into the surrounding supernatant is orchestrated by signal peptides (SP). These SPs are composed of approximately 60 to 180 nucleotides and they are located upstream of the protein to be secreted. Intracellularly, the SP is translationally fused to the specific protein but cut off during the membrane translocation process releasing the protein into the supernatant without the signal peptide attached to it. [3]

Up to date, approximately 170 SPs belonging to the Sec pathway of B. subtilis have been annotated but unfortunately, no correlations on sequence levels have been identified that link efficient protein secretion with a distinct SP. [4]

As part of our project EncaBcillus, we aimed at creating a platform for heterologous protein overexpression combined with their efficient secretion without releasing any cells into the environment. Hereby, we encapsulated our model organism B. subtilis in the Peptidosomes which serve as a new innovative method to keep the producing bacteria separated from the desired compounds. (For more details see Peptidosomes.)

To address the vision of creating this new platform, we first wanted to establish a fast and easy screening procedure to evaluate all combinational possibilities of each SP with a protein of interest (POI) – The Signal Peptide Toolbox.

As SPs of B. subtilis have been successfully adapted to GRAM-positive [5] and GRAM-negative bacteria [6], the Signal Peptide Toolbox, as an organism-independent genetic measurement tool, can be applied to any bacterial host. Every future iGEM team will be able to use this fully partsregistry availabe tool to increase their protein secretion.

Design

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AmyE	AspB	BglS	Bpr	CccA	CitH	Csn	DacB	DacF	DltD
Epr	FliL	FliZ	GlpQ	LipA	LytB	LytC	LytD	LytR	Mdr
Mpr	NprE	PbpX	Pel	PelB	PenP	PhoA	PhoB	PhrA	PhrC
PhrF	PhrG	PhrK	RpmG	SacB	SacC	SleB	SpoIID	SpoIIP	SpoIIQ
SpoIIR	TyrA	Vpr	WapA	YbbC	YbbE	YbbR	YbdG	YbdN	YbfO
YbxI	YdbK	YdhT	YdjM	YdjN	YfhK	YfjS	YfkD	YfkN	YhcR
YhdC	YhfM	YhjA	YjcN	YjdB	YjfA	YjiA	YkoJ	YkvV	YkwD
			YlaE	YlbL	YlqB	YlxF

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Primer collection table

Results

Amplification of the Signal Peptide Mixes via optimized multi-template PCR

So far, no direct correlation between the perfect combination of signal peptide and downstream sequence to gain optimal secretion levels is known. Thus, the problem of having to create one clone per combination of SP and protein of interest remains. Therefore, we created the so-called Signal Peptide Mixes (SPMs), a set of libraries with each containing equal concentrations of up to twenty distinct SPs which can be easily enriched via multi-template PCR. The amplified SPs can then be combined with our Signal Peptide Evaluation Vector (SP-EV) and the gene of interest (For more details see the protocol in the end of the Results section).

In a first approach, we evaluated the multi-template PCR by varying the number of different SPs in one mix. Our aim was to amplify all SPs equally for the downstream cloning procedures. To test this, a SPM subset containing 53 SPs, was amplified using the RFC10 prefix and suffix as primers, we expected a band at around 100-200 Bp (size range of the SPs). Unfortunately, we also observed a second dominant band (at about 250 Bp) (Figure 2, A), leading to the conclusion that a subset of 53 SPs was not suitable for our purposes.

Form this we decided to reduce the number of different SPs to 20 and also to increase the primer concentrations. These improvements lead to a specific amplification of our SPs (Figure 2, B). To evaluate, if all 20 SPs were indeed amplified, we conducted a second PCR using the first PCR as template with specific primers for each SP of the original SPM. We could show that all 20 distinct SPs of the SPM subset were amplified during the first PCR (Figure 3). Therefore, we decided to split up all provided SPs into subset-mixes of each containing up to 20 SPs max.

All 74 SPs which we do provide were therefore aliquoted to 0.5 ng/μL and assigned to four distinct SPM subsets. The table below gives an overview about the assignment of the SPs.

SPM subset a
AmyE	AspB	BglS	Bpr	CccA	CitH	Csn	DacB	DacF	DltD
Epr	FliL	FliZ	GlpQ	LipA	LytB	LytC	LytD

SPM subset b
LytR	Mdr	Mpr	NprE	PbpX	Pel	PelB	PenP	PhoA	PhoB
PhrA	PhrC	PhrF	PhrG	PhrK	RpmG

SPM subset c
SacB	SacC	SleB	SpoIID	SpoIIP	SpoIIQ	SpoIIR	TyrA	Vpr	WapA
YbbC	YbbE	YbbR	YbdG	YbdN	YbfO	YbxI	YdbK	YdhT	YdjM

SPM subset d
YdjN	YfhK	YfjS	YfkD	YfkN	YhcR	YhdC	YhfM	YhjA	YjcN
YjdB	YjfA	YjiA	YkoJ	YkvV	YkwD	YlaE	YlbL	YlqB	YlxF

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Cloning with the Signal Peptide-Evaluation Vector

Following the evaluation of the multi-template PCR amplification of the SPs, we established a Standard Operating Procedure (SOP) protocol for cloning with the Signal Peptide-Evaluation Vector (SP-EV). This SOP was tailored to explain the random integration of the SPs using the cloning host E. coli as the EV was evaluated in the course of our Signal Peptide Toolbox.

First, as we did not exchange the xylose-inducible promoter P_xylA, we inserted the gene amyE for our protein of interest alpha-Amylase via cutting both, the EV and the amyE using the restriction enzymes NgoMIV and PstI. Next, we amplified all SPM subsets (Table 2) via standard PCR using the RFC10 prefix as forward primer (TM4487) and RFC10 suffix as reverse primer (iG17P039). (Both primers can be found in the primer collection table in the Design section.) The PCR products were then digested using the restriction enzymes XbaI and AgeI. Following that, we digested the new EV_amyE using the restriction enzymes BsaI leaving an XbaI overhang and NgoMIV. In a last step, we fused the digested EV_amyE with the digested SPM subsets, thus setting up four ligation reactions called EV_SP-amyE a, b, c and d. These, we used for transformation into B. subtilis. (Figure 4, A)

The detailed SOP protocol for cloning with the SP-EV can be found down below at the end of the Results section. The Gif (Figure 5) above summarizes graphically the steps neccessary to set up your individual SP-EV.

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High throughput screening procedure for B. subtilis

References

[1]	van Dijl J. M. and Hecker M. (2013) Bacillus subtilis: from soil bacterium to super-secreting cell factory. Mircobial Cell Factories 12, 3 (1-6).
[2]	Papanikou E., Karamanou S. and Economou A. (2007) Bacterial protein secretion through the translocase nanomachine.. Nature Reviews Microbiology 5, 11 (839-851).
[3]	Fu L. L., Xu Z. R., Li W. F., Shuai J. B., Lu P. and Hu C. X. (2006) Protein secretion pathways in Bacillus subtilis: implication for optimization of heterologous protein secretion. Biotechnology advances 25, 1 (1-12).
[4]	Brockmeier U., Caspers M., Freudl R., Jockwer A., Noll T. and Eggert T. (2013) Systematic screening of all signal peptides from Bacillus subtilis: a powerful strategy in optimizing heterologous protein secretion in Gram-positive bacteria. Journal of molecular biology 362, 3 (393-402).
[5]	Hemmerich J., Rohe P., Kleine B., Jurischka S., Wiechert W., Freudl R. and Oldiges M. (2016) Use of a Sec signal peptide library from Bacillus subtilis for the optimization of cutinase secretion in Corynebacterium glutamicum. Mircobial Cell Factories 15, 208.
[6]	Pechsrichuang P., Songsiriritthigul C., Haltrich D., Roytrakul S., Namvijtr P., Bonaparte N., Yamabhai M. (2016) OmpA signal peptide leads to heterogenous secretion of B. subtilis chitosanase enzyme from E. coli expression system. Springerplus 5, 1200.