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Comparison of alternative integration sites in the chromosome and the native plasmids of the cyanobacterium Synechocystis sp. PCC 6803 in respect to expression efficiency and copy number

Abstract

Background

Synechocystis sp. PCC 6803 provides a well-established reference point to cyanobacterial metabolic engineering as part of basic photosynthesis research, as well as in the development of next-generation biotechnological production systems. This study focused on expanding the current knowledge on genomic integration of expression constructs in Synechocystis, targeting a range of novel sites in the chromosome and in the native plasmids, together with established loci used in literature. The key objective was to obtain quantitative information on site-specific expression in reference to replicon copy numbers, which has been speculated but never compared side by side in this host.

Results

An optimized sYFP2 expression cassette was successfully integrated in two novel sites in Synechocystis chromosome (slr0944; sll0058) and in all four endogenous megaplasmids (pSYSM/slr5037-slr5038; pSYSX/slr6037; pSYSA/slr7023; pSYSG/slr8030) that have not been previously evaluated for the purpose. Fluorescent analysis of the segregated strains revealed that the expression levels between the megaplasmids and chromosomal constructs were very similar, and reinforced the view that highest expression in Synechocystis can be obtained using RSF1010-derived replicative vectors or the native small plasmid pCA2.4 evaluated in comparison. Parallel replicon copy number analysis by RT-qPCR showed that the expression from the alternative loci is largely determined by the gene dosage in Synechocystis, thereby confirming the dependence formerly proposed based on literature.

Conclusions

This study brings together nine different integrative loci in the genome of Synechocystis to demonstrate quantitative differences between target sites in the chromosome, the native plasmids, and a RSF1010-based replicative expression vector. To date, this is the most comprehensive comparison of alternative integrative sites in Synechocystis, and provides the first direct reference between expression efficiency and replicon gene dosage in the context. In the light of existing literature, the findings support the view that the small native plasmids can be notably more difficult to target than the chromosome or the megaplasmids, and that the RSF1010-derived vectors may be surprisingly well maintained under non-selective culture conditions in this cyanobacterial host. Altogether, the work broadens our views on genomic integration and the rational use of different integrative loci versus replicative plasmids, when aiming at expressing heterologous genes in Synechocystis.

Introduction

Microorganisms are routinely engineered by introducing recombinant genetic material into the cell to express individual target proteins, produce specific metabolites, or to study enzyme functions in vivo. This can be accomplished by either integrating the expression cassette into the host genome using, for example, homologous recombination, site-specific recombination or transposase-mediated gene transposition depending on the organism, or as part of a replicative plasmid [1, 2]. A typical objective is to generate a system which is genetically stable and allows regulated protein expression at a wide dynamic range, without unwanted adverse effects to the host. In integrative systems, the challenge is to find a redundant genomic locus (neutral site), that can be disrupted without compromising native functions that would affect maintenance and cell growth [3], or a gene of known function that is not required under the specific cultivation conditions used. Applicable target sites are therefore strain-specific, and linked with the experimental setup, that may influence production efficiency and system stability [4]. In addition, in polyploid organisms such as the model cyanobacterium Synechocystis sp. PCC 6803 (Synechocystis from here on) studied here, the introduced gene cassette must segregate in all parallel copies of the chromosome to prevent emergence of wild type progeny through negative selection. A critical factor affecting the level of expression is the relative copy number of the replicon, chromosome or plasmid, that determines the number of target genes in each cell (gene dosage effect) [5]. The copy numbers change from host to another, and may vary remarkably depending on the growth phase and environmental conditions, as observed in Synechocystis [6, 7] (see Tables 1, 2). In addition, genomic locus-specific effects that relate to DNA organization and replication with localized effects on transcriptional efficiency (chromosomal position effect) have a significant impact on the expression levels in some microorganisms such as E. coli and S. cerevisiae [5, 8, 9]. These factors essentially depend on the organism, and understanding them is important for the rational design of expression systems in basic and applied research.

Table 1 Chromosome copy numbers previously reported for different Synechocystis (sub)strains
Table 2 Relative and/or absolute copy numbers of replicative plasmids in Synechocystis reported in the literature

Cyanobacteria are a diverse group of ancient photoautotrophic prokaryotes and the progenitors of oxygenic photosynthesis on Earth [10]. They contribute significantly to the global primary production, and have an indispensable role in maintaining functional aquatic ecosystems and biogeochemical cycles by regulating global carbon and nitrogen turnover [12]. Due to the relative simplicity of the bacterial system in comparison to plants and green algae, cyanobacteria have been used as model organisms to solve the basic principles of oxygenic photosynthesis, including the structure, function and organization of the large protein complexes operating in water oxidation and electron transfer reactions [12,13,14,15] as well as the mechanisms for maintenance of carbon/nitrogen homeostasis [16]. In addition, the regulatory systems related to photoprotection and the maintenance of the photosynthetic machinery under changing environmental conditions, which differ substantially from both plants and algae, have been extensively investigated in cyanobacteria [17,18,19]. Due to the inherent ability to utilize solar energy for the generation of diverse organic molecules from CO2, cyanobacteria have also been recognized as potential next-generation biotechnological hosts for the production of commercially interesting compounds such as platform chemicals, polymer precursors and biofuels [20,21,22]. The most extensively studied cyanobacterium is the unicellular freshwater species Synechocystis, for which many distinct wild type substrains have been actively used [23,24,25]. Despite the increasing interest in expanding towards alternative strains with specific physiological properties such as faster growth rate or tolerance to high light intensities and salinity [26, 27], Synechocystis continues to have an important role in many leading laboratories due to the wealth of existing biological information, synthetic biology tools and technical know-how [28,29,30]. From the perspective of the current work, considerations that relate to the rational engineering of Synechocystis genome include: (i) polyploidy of the chromosome (Table 1) which complicates the preparative steps due to time-consuming strain segregation, (ii) differences between putative integration sites that may affect system stability due to site-specific functions, (iii) expression efficiency that is related to the copy number of the target replicon, and (iv) the choice between available replicative plasmids offering alternatives to genomic integration.

The Synechocystis genome consists of a single polyploid chromosome (3.57 Mb) [6, 31], four different megaplasmids (pSYSM/120 kb; pSYSX/106 kb; pSYSA/103 kb; pSYSG/44 kb) [32], and three small plasmids (pCC5.2/5.2 kb; pCA2.4/2.4 kb; pCB2.4/2.4 kb) [33,34,35]. So far almost all the genomic integration sites used for expressing heterologous genes in Synechocystis reside specifically in the chromosome, including slr1311* (psbA2) and slr0168* (N.A.) that are amongst the most common neutral sites referred to in literature (Table 3). In comparison, only one of the native plasmids, pCA2.4, has been successfully recruited for heterologous expression (36) (Table 3). Besides integration, autonomous plasmids based on the broad-host-range replicon RSF1010 [37] such as pFC1 [38], pPMQAK1 [39], pDF [40], and pSEVAn5n [41], or the pSEVA421 plasmid derived from RK2 [42] have also been applied in Synechocystis. In addition, recent expression vectors generated based on the endogenous plasmids pCA2.4, pCB2.4 and pCC5.2 [43,44,45] provide alternatives for engineering. Despite the collective information on the use of integrative constructs and replicative plasmids in Synechocystis (Table 3), direct quantitative data on the relative expression efficiencies between the chromosome, the native megaplasmids and RSF1010-based vectors does not exist. In addition, the corresponding copy number data has never been collected in parallel, and there is rather distinct variation between different experimental setups described in literature which is known to affect the acquired copy numbers (Tables 1, 2), thereby complicating direct comparison. We therefore anticipated that further characterization could provide useful insight for future engineering, when, for example, maximizing expression or evaluating the pros and cons between different alternatives for integration.

Table 3 Genomic neutral sites used earlier for the integration of expression cassettes in Synechocystis

From these premises, we set off to compare a set of novel genomic target sites against established loci for expressing recombinant proteins in Synechocystis, with specific emphasis on the native megaplasmids that have not been utilized for this purpose earlier. The hypothesis was that the comparison would expand our practical knowledge on the alternative integrative sites in regards to efficiency, but possibly also in copy number, construct stability or chromosomal position effects. The approach was to integrate and monitor the expression of yellow fluorescent protein (sYFP2) in different selected loci in Synechocystis chromosome and the native plasmids, thereby allowing the quantitative comparison of expression and relative gene dosage in reference to the pDF and pCA2.4 plasmid-based systems.

Results

Selecting candidate integration sites in the genome of Synechocystis

To compare alternative integration sites in Synechocystis in terms of expression level and stability, 16 genomic loci (Fig. 1; Table 4) were selected as candidates for the integration of an optimized sYFP2 expression cassette [46, 47] (Additional file 1: Figs. S1, S2). Out of these, 13 target sites had not been previously used for engineering, and included seven novel loci in the chromosome (sll0710, slr0725, slr0868, slr0944, ssr0663, sll0403, sll0058), one in each of the four megaplasmids (pSYSM/slr5037-slr5038; pSYSX/slr6037; pSYSA/slr7023; pSYSG/slr8030), and two in the small native plasmids (pCC5.2/slr9002; pCB2.4/ssr9202). Five of the new chromosomal target sites were genes of unknown function (sll0710, slr0725, slr0868, ssr0663, sll0403), chosen primarily based on minimal condition-specific expression level changes in genome-wide transcriptomic analysis (Additional file 1: Table S1; see "Materials and methods" for details). The screening relied on pre-existing high-quality microarray data, which was originally acquired for Synechocystis WT and photosynthetic electron transfer deletion strains upon the transition from ambient CO2 levels to high carbon (3%), and from constant light to fluctuating light [48, 49]. These conditions were considered relevant from biotechnological viewpoint, as they represent the use of elevated CO2 concentrations to enhance productivity, and the effects of light fluctuation in large-scale cultures, as induced by shelf-shading and constantly varying distance from the light source. In addition, the deletion strains in the microarray study [48, 49] were of interest from engineering perspective, as the inactivation of native alternative electron sinks such as the flavodiiron proteins may provide means for enhancing the cellular metabolic flux towards specified end-products [50,51,52]. The two remaining chromosomal targets were arsB (slr0944) associated with arsenic resistance [53] and heat-shock gene homolog dnaK1 (sll0058) [54] (Table 4), which based on the characterized functions were expected to be dispensable under standard culture conditions used for expression. In agreement, these two targets showed negligible transcript level changes also in the earlier microarray analysis under all the studied conditions and in all the strains (Additional file 1: Table S2). The candidate sites on the native megaplasmids, suoCT (slr5037- slr5038) in pSYSM [55] and arsI2 (slr6037) in pSYSX [56] were also linked with the metabolism of arsenic compounds, whereas slr7023 in pSYSA [57] and slr8030 in pSYSG had no critical or essential functions identified so far (Table 4). Due to the compact nature of the small native plasmids, the options for target sites were rather limited, and the two uncharacterized genes slr9002 (orfA) in pCC5.2 and ssr9202 (ORF3) in pCB2.4 [35] were selected because they resided outside the regions that were previously shown to be indispensable [c.f. [58]]. Finally, to allow comparison with established integration sites used earlier, two chromosomal loci slr1311* [59] and slr0168* [60], and the intergenic neutral region between the genes slr9101 and pCA24_1 (ORF2) in pCA2.4/I.R.* [36] were included as reference controls (indicated by asterisks throughout).

Fig. 1
figure 1

Schematic representation of the genome of Synechocystis showing the integration sites in the chromosome and in the native plasmids targeted in this study. The figure depicts the novel functional integration sites characterized in this work (green lines), the loci previously used for engineering purposes that serve as quantitative controls (blue lines; *), and the sites which failed to produce stable integration mutants (red lines). See Table 4. for details

Table 4 List of the genomic integration sites in Synechocystis targeted in this study. The integrative sites which were successfully used for the introduction of an sYFP2 expression cassette are shown in black font. The strains that were unstable or could not be segregated (and were excluded from the subsequent analysis) are shown in grey font. The sites previously reported in literature that were used as quantitative controls have been indicated by * [the control strain harboring the replicative pDF-lac2* plasmid is not listed in the table]

Generation of nine Synechocystis strains expressing sYFP2 from different genomic loci

The sYFP2 expression cassette (Additional file 1: Fig. S2) was introduced into each selected site in Synechocystis genome (Fig. 1, Table 4) using an integrative vector pSI1B (Additional file 1: Fig. S1) generated in this work. The pSI1B vector is based on the commercial plasmid pUC57, and was designed to integrate into the genome by homologous recombination using PCR-amplified flanking sequences specific to each of the target loci (see Additional file 1: Table S3). The constructed plasmids (Additional file 1: Table S4) were transformed into Synechocystis, followed by selection on increasing concentrations of antibiotics, and analysis by colony PCR to verify the resulting recombinant strains (Additional file 1: Fig. S3). As preparative efficiency was one of our selection criteria, the candidate strains were first subjected to two rounds of transformation and segregation. In the case of the novel chromosomal target sites, the resulting positive strains qualified to the subsequent analytical phase of the work, while those that were unsuccessful were excluded (see Table 4). Additional preparative rounds were performed to obtain the remaining reference strains, as well as the missing strains expressing sYFP2 from the newly-selected target loci in the native plasmids, as they were of particular interest in this study. As the outcome, nine different Synechocystis strains were constructed, harboring the sYFP2 expression casette in two novel chromosomal loci (slr0944 and sll0058), all four native megaplasmids (pSYSM/slr5037-slr5038; pSYSX/slr6037; pSYSA/slr7023; pSYSG/slr8030), and three control loci (slr1311*, slr0168*, pCA2.4/I.R.*) (Table 4; black font, Additional file 1: Fig. S3). Notably, as seen from Table 4, many of the chromosomal and the megaplasmid target sites could be disrupted with relative ease, while the small plasmids pCB2.4/ssr9202 and pCC5.2/slr9002 did not yield positive hits even after six and ten independent preparative rounds, respectively. In the case of pCB2.4/ssr9202, colony PCR bands corresponding to the correct integrative constructs were never observed, whereas for pCC5.2/slr9002 the detected bands were either the wrong size, or the strains could not be further segregated. The additional reference strain carrying the replicative plasmid pDF-lac2* with the same sYFP2 expression cassette was generated and verified earlier [47].

Fluorescence profiles reveal expression-level differences between the engineered Synechocystis strains

To compare the generated Synechocystis strains (Table 4) in regards to expression efficiency, the cells were cultured and analyzed for sYFP2 fluorescence at six successive timepoints (0, 2, 4, 6, 24 and 48 h) after induction. The resulting fluorescent profiles (Fig. 2, Additional file 1: Fig. S4) displayed strain-specific expression dynamics throughout the induction phase, thereby providing a basis for more reliable comparison than would be possible with a single end-point assay. The analysis was divided in three independent experiments to evaluate system reproducibility, and to avoid practical constraints in processing large numbers of cultures at specified sampling points. In the first series (Fig. 2; red line), the ten strains were characterized one at a time using six independent replicates (n = 6). This was done to determine the level of biological variance between parallel samples, and to establish reference expression profiles for subsequent comparisons. In the following two series (Fig. 2; blue and black lines) the ten strains were characterized all at the same time but with lower number of replicates (n = 3 and n = 1). This allowed us to critically assess between the actual strain-specific differences, and the technical variation from one experiment to another.

Fig. 2
figure 2

Quantitative analysis of the generated Synechocystis expression strains, showing the sYFP2 fluorescence signal recorded at the timepoints 0, 2, 4, 6, 24 and 48 h after induction with 1 mM IPTG The experiment was repeated three times, using six independent replicates (red line; n = 6), three independent replicates ( blue line; n = 3), or a single culture (black line; n = 1) for each strain AJ. The values were always measured in three technical replicates, normalized to OD750, and used for calculating the plotted averages and the standard deviations. The initial rates of fluorescence increase, calculated based on three most consistent data points between 0–6 h and averaged between the three parallel runs, have been shown in grey dotted lines. The horizontal grey bar shows the 20,000–40,000 fluorescence level range to visualize the scale difference between AH and I, J. The control strains have been indicated by *. Negative WT reference is presented in Additional file 1: Fig. S4.

Despite small differences between the last two measuring points in some cases, the fluorescent profiles (Fig. 2) suggested that the 24 h timepoint would be a reliable estimate for the maximum fluorescence levels (i.e. maximum expression efficiency), and a basis for evaluating the expression capacity between the parallel loci. The maximum expression efficiency between the chromosomal sites (Fig. 2A–D) and the megaplasmids (Fig. 2E–H) were all within a similar range (in between 20,000–40,000 fluorescence a.u). In contrast, the recorded values were significantly higher for the small native plasmid pCA2.4/I.R.* (Fig. 2I; 75,000–100,000 fluorescence a.u) and pDF-lac2* (Fig. 2J; 100,000–150,000 fluorescence a.u), corresponding approximately to two- and three-fold higher expression levels at the 24 h maximum, respectively. In support of these findings, comparison of the averaged initial expression rates, calculated based on the fluorescence increase over the first hours of induction (Fig. 2; grey dotted lines; see "Materials and methods" for details), resulted in a corresponding relative correlation between the strains as the data collected at the 24 h timepoint. This outcome was further visualized by plotting the initial rates against the maximum expression levels (Fig. 3), showing that most strains group together, with the exception of the pCA2.4/I.R.* and pDF-lac2* strains that appear as independent clusters. The growth of the engineered strains appeared consistent in comparison to the WT control (Fig. 4), and there was no apparent dependence between the OD750 profiles and the maximum expression levels, suggesting that the expression of sYFP2 did not cause metabolic stress that would compromise fitness of any of the strains under the experimental conditions used.

Fig. 3
figure 3

Maximum sYFP2 expression levels versus the initial expression rates recorded for the different integrative constructs in Synechocystis (see Table 4. for strain details). The data represents three independently conducted experiments using different number of biological replicates as shown in red circle (n = 6), blue triangle (n = 3) and black square (n = 1). The relative maximum fluorescence values were recorded at the 24 h timepoint after induction, and the expression rates calculated from the linear fits between the first three or four measurement points after induction presented in Fig. 2.

Fig. 4
figure 4

Growth of the generated Synechocystis strains harboring the sYFP2 expression cassette in the A) chromosome or in the B) native plasmids, in reference to the WT and the control strains (*). The cultivations were carried out in Erlenmeyer flasks, at 30 °C under constant light of 50 μmol photons m−2 s−1 and 1% CO2 atmosphere, and the growth was measured as OD750 increase over a period of seven days from induction. The mean and standard deviation at each measurement point have been calculated from three independent cultivations

Real-time quantitative PCR reveals differences in the syfp2 copy number between chromosomal and plasmid-based replicons

To evaluate the relationship between the observed expression levels and gene dosage, the syfp2 copy number in each generated strain was determined in reference to the number of the chromosome copies (i.e. normalized against the genes petB and rrn16S) by real-time quantitative PCR (RT-qPCR). Cell lysates were used as templates for the amplification reactions to minimize sample processing and possible variation in the extraction of chromosomal DNA and the plasmids. The integrity of the lysates was evaluated on agarose gel (Additional file 1: Fig. S5), which showed the presence of high-molecular weight DNA, fluorescent proteins (phycobiliproteins) and RNA in all samples. In addition, spectrophotometric analysis indicated similar sample composition based on the measured A260/A280 and A260/A230 ratios (SD260/280 = 0.07 and SD260/230 = 0.06, for more details see Additional file 1: Table S5). The primer pairs targeting the three analyzed genes showed acceptable amplification efficiencies (E) of ≈ 90% (Additional file 1: Table S6), which were in the range expected for complex protein-containing samples. The R2 values above 0.99 indicated that the optimized assay had a broad dynamic range, covering a series of five tenfold dilutions. In addition, the melt curve analysis confirmed amplicon specificity in all experiments (Additional file 1: Table S6; amplicon Tm and NTC), displaying a single sharp peak for each gene. Finally, to verify reaction specificity, the amplicon identity in each case was confirmed by DNA sequencing.

The RT-qPCR analysis indicated that the relative chromosome copy number did not significantly vary between the generated strains in reference to petB and rrn16S. This allowed these two genes to be used for syfp2 normalization for determining the relative number of each of the target replicons. As anticipated, the relative copy numbers recorded for syfp2 in the different chromosome locations [slr1311* (psbA2), slr0944 (arsB), sll0058 (dnaK1) and slr0168*] were around one (measured values 1–1.3) (Fig. 5, Additional file 1: Table S5). The corresponding values for the megaplasmids pSYSM (slr5037-slr5038), pSYSX (slr6037), and pSYSA (slr7023) were slightly higher, ranging from 1.6 to 1.9, while for pSYSG it was 1.2. In comparison, the highest copy numbers were measured for the small plasmid pCA2.4 and the replicative vector pDF, corresponding to 5.4 and 2.4 per chromosome, respectively (Fig. 5, Additional file 1: Table S5).

Fig. 5
figure 5

Determination of relative syfp2 copy number for the different constructs introduced in Synechocystis. The syfp2 copy numbers were determined for each strain in reference to the chromosome copy numbers (i.e. normalized against the endogenous genes petB, and rrn16S) by RT-qPCR. The slr0944 (arsB) locus was selected as the control condition representing relative expression equal to one. The box-whisker plot represents three independent experimental trials with technical triplicates for all the strains (control strains indicated with *). One-way ANOVA test was performed to evaluate significant differences (P < 0.05 denoted by ***)

The engineered sYFP2 expression strains appear stable in a six-week cultivation

To evaluate the overall stability of the sYFP2-expressing strains, a series of successive batch cultivations was conducted without antibiotic selection pressure for a period of six weeks (Fig. 6). The cultures were re-inoculated at one-week intervals in fresh medium containing IPTG, followed by measurement of fluorescence six hours after induction. At each round, the axenity of the cultures was confirmed on antibiotic-free LB agar plates, and at the end of the trial, segregation was verified by construct-specific colony PCR (Additional file 1: Fig. S6). Despite some experimental fluctuation, the resulting fluorescence profiles showed that all the strains remained stable and maintained the capacity to express sYFP2 throughout the culture period, while the PCR screen confirmed that there were no obvious changes in the target sites at the DNA level. Notably, also the replicative pDF-lac2* construct appeared stable over the cultivation period of 42 days without antibiotic selection. To our knowledge, this is the longest reported time for monitoring expression plasmid maintenance in Synechocystis, and suggests that RSF1010-derived plasmids over-expressing essentially harmless proteins such as sYFP2 are not necessarily lost from the population as readily as could be anticipated.

Fig. 6
figure 6

Long-term stability of the generated Synechocystis sYFP2 expression strains in the absence of antibiotic selection pressure. All the novel integration site mutants and the control strains (*) were monitored for sYFP expression in a step-wise suspension batch culture over a six-week period. The different colored bars represent the expression levels (normalized to OD750) measured at one-week intervals, 6 h after re-inoculation into a new batch with fresh BG-11 containing 1 mM IPTG and without antibiotics. The mean and standard deviation have been calculated from three independent replicate cultures (n = 3) for each strain at each timepoint

Discussion

Various genomic integration sites have been used for the expression of heterologous genes in Synechocystis to study native cellular functions, and to find the best alternatives for the production of specific chemical compounds (Table 3). To expand the existing knowledge, we targeted sites in Synechocystis chromosome, the native small plasmids and the four megaplasmids, and compared them in reference to known integration sites in the chromosome, the small plasmid pCA2.4 (Fig. 1), and RSF1010-based replicative plasmid pDF. Out of 13 initial candidate integration sites that were selected based on literature and existing microarray data, six novel loci were successfully targeted by sYFP2 to generate corresponding segregated mutant strains (Table 4; black font, Additional file 1: Fig. S3). As strain construction is typically time-consuming and a key limiting step in Synechocystis metabolic engineering, one of the initial evaluation criteria was the preparative efficiency, i.e. the relative ease at which the mutants could be obtained. Three out of four (3/4) megaplasmid target sites and two out of seven (2/7) novel chromosomal sites were successfully disrupted over the first two rounds of transformation and segregation, suggesting that the criteria applied for identifying alternative integration loci met the purpose. In contrast to these, targeting the selected sites in the three small native plasmids pCA2.4*, pCC5.2 and pCB2.4 was significantly more challenging (Table 4). The pCA2.4/I.R.* [36] control was successful only after 11 independent attemps (see "Materials and methods" for details), whereas the other two targets pCC5.2/slr9002 and pCB2.4/ssr9202 were excluded after six and ten futile preparative transformation-segregation rounds, respectively. Most earlier attempts to target the small plasmids at different loci in Synechocystis have also been unsuccessful [58, 36], which has been proposed to primarily result from the higher relative copy numbers of these replicons. So far pCA2.4/I.R.* has been the only plasmid-based integration site that has been disrupted and segregated [36], but with clearly lower preparative efficiency in comparison to the chromosome (slr1311*), as observed here. For our targets, repeated attempts to obtain correct transformants implicated that besides the segregation, there were also potential problems in homologous recombination and clone selection, yet the underlying molecular determinants remain unclear. These findings support the conclusions that the potential benefits in employing the small native plasmids for high-level expression in Synechocystis may be outweighed by critically low preparative efficiency, as compared to the chromosome or the megaplasmids. As an alternative, the use of replicative plasmids such as pDF-lac2* does not require segregation, so obtaining the corresponding expression strains is typically more straightforward.

The qualifying segregated strains did not show any obvious growth defects in reference to the WT (Fig. 4), suggesting that the deletions at the target loci did not inflict any unwanted metabolic responses that would compromise host fitness, and interfere with the following comparison. The functional analysis was based on the fluorescent marker sYFP2 [61], which enables sensitive non-invasive quantitation of gene expression, without inducing global toxicity effects. While well-suited for comparing expression efficiencies in vivo, fluorescent markers offer very limited information on expression-related adverse effects, and the resulting host response towards negative selection. More severe metabolic stress is induced by expression systems that deplete the cell from essential metabolic precursors or enzyme cofactors [60, 62], accumulate reactive pathway intermediates [63] or produce toxic end-products [64]. Such effects may be lethal or critically compromise the housekeeping functions of the cell, depending on the expression efficiency and the nature of the biochemical interactions, and must be assessed case-by-case when developing production strains for biotechnological use. For the current objective, however, we specifically needed a system such as sYFP2 that would not mask the locus-specific features under cellular stress responses, and allow us to distinguish relatively subtle differences between the generated strains. In accordance, the collected sYFP2 expression profiles (Fig. 2) showed that expression from the four chromosomal sites and the four megaplasmids was very similar throughout the induction phase, and implied that the use of megaplasmids would not provide advantage in relative efficiency, at least under autotrophic conditions (constant light 50 μmol photons m−2 s−1 and 1% CO2). In terms of the chromosomal integration, these observations were in line with earlier reports showing relatively uniform fluorescence between parallel target sites in the Synechocystis chromosome [58, 65]. Our data also confirmed that the pCA2.4/I.R.* and pDF-lac2* systems, used for reference, produce clearly higher levels of expression (approx. two- and threefold, respectively) than chromosomal constructs (Figs. 2, 3). The relative fluorescence values, however, deviate significantly from those reported in literature, where the use of pCA2.4 enabled up to 100-fold higher expression in reference to the chromosmal locus psbA2 (slr1311*), as measured over a 14-days cultivation period under autotrophic conditions (constant light 80–100 μmol photons m−2 s−1 and 2% CO2) [36]. In a similar manner, the RSF1010-derived replicative plasmid pPMQAK1 has been measured to give lower expression than the endogenous small plasmid pCC5.2 even when the integrative construct was not segregated [58]. Although all the existing information consistently supports the use of the plasmid-based systems for maximizing expression efficiencies in Synechocystis, the inconsistensies underline the challenges in reliable direct comparison of quantitative data obtained with different expression systems and analytical setups.

Despite the shortcomings of the sYFP2 system to provide stability data under high negative selection, the six-week cultivation carried out without antibiotics (Fig. 6) reinforced our view on the replicative pDF-lac2* vector as a relatively robust laboratory tool. Generally, plasmid stability is determined by the frequency at which plasmid-free progeny will arise during cell division, and the strength of the subsequent positive selection in favor of clones that are not subjected to plasmid-induced stress. Synechocystis appears not have active partitioning systems to ensure plasmid distribution into the daughter cells, so plasmid maintenance is entirely based on random distribution during cell division, and therefore largely determined by plasmid copy number. It has been estimated that about 15 plasmid copies is sufficient to maintain stability via random partitioning [66], which is in the typical copy number range (~ 10–30 per cell) reported for RSF1010-derived plasmids in Synechocystis (Table 2). This is also in agreement with our findings, which show that the measured 2.4 copies of pDF-lac2* per chromosome (Table 2), enable the stable maintenance of the plasmid in the absence of selection pressure over a batch cultivation period of 42 days (Fig. 6). Similar stability has been reported earlier for the RSF1010-based vector pSEVA251 in Synechocystis cells grown in batch cultures for up to 16 days [41], further implying that these plasmids are not spontaneously lost from the cell population simply by the exclusion of antibiotics. With the realization that the use of plasmids is generally restricted by the relative instability in comparison to genomic constructs, particularly when the use of antibiotics is not feasible as in large-scale biotechnological production systems, further studies are needed to evaluate alternative expression constructs under different selective conditions. Synechocystis naturally supports the maintenance of the endogenous megaplasmids with a repertoir of specific toxin/antitoxin (TA) systems, that induce post-segregational killing of plasmid-free cells [57, 67]. Such strategy could perhaps be used to promote the positive selection of RSF1010-derived replicative plasmids in the absence of antibiotics in Synechocystis [68], and characterized in combination with potentially toxic expression systems that counteract the effect by inducing plasmid instability. The preparative use of these plasmids can be further improved by the inactivation of the conjugation-associated mobA system that enhances extraction yields of intact plasmid dsDNA and thus the in vitro cloning efficiency [69, 70], whenever natural transformation is used for generating the strains.

In parallel to the fluorescence expression profiles (Fig. 2) of the nine genomic integration strains (Table 4) and the replicative construct pDF-lac2*, we characterized the corresponding relative copy numbers of the replicons by RT-qPCR (Fig. 5, Additional file 1: Table S5). This enabled the comparison between the expression levels and syfp2 gene dosage between the targeted loci in the chromosome (slr1311*, slr0944, slr0168*, sll0058), the megaplasmids (pSYSM/slr5037-slr5038, pSYSX/slr6037, pSYSA/slr7023, pSYSG/slr8030), the small plasmid pCA2.4/I.R.* and pDF-lac2*. To our knowledge, such direct and comprehensive comparison has not been conducted and presented in any previous study in Synechocystis. Instead, the conclusions now perpetuated in literature relate acquired expression data with previously published copy number information [36, 58] (see Tables 1 and 2). As seen from our two datasets, the copy numbers (Fig. 5) are fairly consistent with the sYFP2 expression profiles between the chromosomal loci (Figs. 2A–D, 3) and the four megaplasmids (Figs. 2E–H, 3). As for the the native plasmid pCA2.4* (Fig. 2I) and the pDF-lac2*-based system (Fig. 2J), both have clearly higher expression levels and replicon copy numbers in comparison to the chromosomal sites and the megaplasmids (Fig. 3). However, there is no perfect correlation between the datasets, as observed for pDF-lac2* which has a significantly lower relative copy number than anticipated based on sYFP2 expression, and pSYSA/slr7023 that shows lower relative fluorescence in reference to the other target loci in the megaplasmids and in the chromosome. Despite this variance, we expect the data to be a more accurate description of the relationships than mere comparison with information in literature (Table 2), and conclude that there is an overall trend througout the data linking increased syfp2 gene dosage with higher fluorescence levels from the different integrative loci. In general, it is obvious that gene copy number is reflected in the corresponding expression levels (provided that expression does not compromise the well-being of the host) as previously seen for example in increased ethylene production in Synechocystis when additional efe genes are introduced into the cell [71]. In accordance, the current study now provides a reference to the phenomenon from the perspective of the alternative genomic sites and the RSF1010-derived expression system in Synechocystis. Based on the data, however, we cannot rule out the possibility of overlapping impact of genome position effects caused by the surrounding genetic context around the selected integration sites. Besides experimental factors, this could in part explain the fluctuations observed between the expression profiles (Fig. 2) and the copy numbers (Fig. 5), although further investigation is be needed to confirm potential gene-level interactions.

Summary

This work provides new quantitative data that expands our current understanding on the use of different integrative genomic sites to express heterologous genes in the model cyanobacterium Synechocystis sp. PCC 6803. With the most comprehensive set of targets to date, the main findings demonstrate differences in the relative expression efficiencies between integration sites in the chromosome and in the native plasmids in Synechocystis, and for the first time, relates this information directly to the corresponding replicon copy numbers. This knowledge can guide the rational selection of most convenient integration strategies in regards to expression levels and relative cloning efficiencies, when weighing between options to engineer this cyanobacterial host for different practical uses.

Materials and methods

Reagents and enzymes

Standard molecular biology techniques and commercial kits (Qiagen, Germany) and enzymes (New England BioLabs, USA or Thermo Fisher Scientific, USA) were used for DNA manipulation. Oligonucleotides were purchased from Eurofins MWG Operon (Germany), and larger gene fragments from GeneScript (USA).

Organisms and standard growth conditions

A glucose tolerant substrain of Synechocystis sp. PCC 6803 [72] obtained originally from Professor Aaron Kaplan (Hebrew University of Jerusalem, IL), was used for all the cyanobacterial experiments. The cyanobacterial strains were grown in BG-11 medium [73] buffered with TES-KOH to pH 8.0 at 30 °C under constant light of 50 μmol photons m−2 s−1 and 1% CO2 atmosphere in a growth chamber MLR-351 (Sanyo, Japan) or Algaetron 230 (Photon Systems Instruments, Czech Republic). Escherichia coli strain DH5α was used as the host for plasmid propagation. E. coli cells were grown in Lysogeny Broth (LB) medium at 37 °C, at 150–200 rpm or on solid agar plates supplemented with 50 µg ml−1 spectinomycin (Sp) and 34 µg ml−1 chloramphenicol (Cm) when needed.

Selection of putative target sites based on transcriptomic data

Besides integration targets selected based on annotated functions (see "Results" section), whole-genome microarray data was used for identifying genes with low expression-level changes upon the transition from constant light to fluctuating light and from ambient carbon concentration to 3% CO2 in various eletron transfer mutants (Δflv1, Δflv2, Δflv1/3, Δflv4, ΔfnrL, Δfed7, Δpgr5, ΔndhB, ΔndbA).

The datasets had been acquired earlier as described in [48, 49] but not previously published in regards to the expression fold changes presented here (Additional file 1: Tables S1 and S2). In the first round of screening, putative target genes annotated as unknown or hypothetical were chosen based on low overall fold change values (log2FC < 1.37) and low differential expression in the datasets. The qualifying genes were then compared with genome-wide expression to exclude targets which showed significant response to different environmental conditions (http://cyanoexpress.sysbiolab.eu), contained predicted internal sense or antisense RNAs [74], or were homologous to other cyanobacterial protein with known function (http://genome.annotation.jp/cyanobase/Synechocystis). Based on the microarray, five genes (sll0710, slr0725, slr0868, ssr0663, sll0403) were ultimately included in the target list (Table 4) for testing.

Assembly of the integration constructs for sYFP2 expression in Synechocystis

In order to introduce the sYFP2 reporter expression cassette (Additional file 1: Fig. S2) into different loci in the Synechocystis genome, an integrative expression plasmid pSI1B (Additional file 1: Figs. S1, S2) was developed based on the commercial E. coli vector pUC57 (GenScript). The plasmid contains separate multiple cloning sites for the incorporation of the alternative upstream and downstream homologous sequences corresponding to the different sites of integration, which were PCR-amplified from the host genome using the primers listed in Additional file 1: Table S3. The expression module between these sites consists of the promoter PA1lacO-1 [75] and the LacI repressor, in addition to SpeI-SalI sites that allow complementary fragments to be introduced using modular assembly system established earlier [76, 47]. The reporter expression cassette subcloned into the plasmid contained the ORF encoding the fluorescent protein sYFP2 [46], placed immediately downstream the RBS from Synechocystis cpcB (sll1577) [47], followed by a chloramphenicol resistance cassette (CmR) and transcriptional terminators of rrnB T1 and rrnB T2 from pDF [40]. The assembly of pSI1B is presented in the Additional file 1: Figs. S1 and S2, and the list of all the final integration constructs in the Additional file 1: Table S4.

Generation of the Synechocystis strains

The assembled integration constructs (Additional file 1: Table S4) were amplified in E. coli, sequenced, and transformed into WT Synechocystis [77] by resuspending 10 ml of freshly grown cell culture (OD750 ~ 1) in 0.5 ml BG11 with 1–5 µg plasmid DNA. After o/n incubation in gentle shaking in dark, the cells were plated on BG11 agar, incubated under low indirect light for 24 h, followed by supplementation of Cm beneath the agar at the final concentration 5 µg ml−1. After the appearance of individual antibiotic-resistant colonies (typically few weeks at 30 °C constant light 50 μmol photons m−2 s−1 under 1% CO2), the clones were transferred onto secondary plates (10 µg ml−1 Cm), and tertiary plates (20 µg ml−1 Cm) when necessary. The cells were typically grown for 1–2 weeks followed by colony PCR analysis and preparation of—80 °C freezer stocks. To promote segregation, incubation times were sometimes extended to over four weeks. Generation of the pDF-lac2* reference strain has been described earlier [47].

Colony PCR verification of the generated Synechocystis strains

The generated Synechocystis strains were analyzed by colony PCR to confirm segregation (Additional file 1: Figs. S3, S6) using site-specific primer pairs listed in Additional file 1: Table S3. To prepare the PCR templates, samples of antibiotic-resistant cells were first resuspended in 10 µl MQ water, followed by three successive freeze–thaw cycles (5 min at − 80 °C /5 min at + 60 °C, spin-down in between) to induce cell lysis. After centrifugation, 1 µl of the supernatant was used for each PCR reaction (25 µl reactions using DreamTaq™ polymerase and 2 mM of each primer) with the following parameters: 3 min at 98 °C initial denaturation, denaturation at 95 °C for 10 s, annealing at lower primer Tm plus 3 °C, extension at 72 °C for 45 s (25 cycles).

Quantitative comparison of sYFP2 expression levels in the generated Synechocystis strains

To compare the sYFP2 expression levels, the generated Synechocystis strains (Table 4) were subjected to rounds of fluorescence analysis using Tecan microplate reader (Tecan infinite 200 PRO) with 495 nm (ex) /535 nm (em) as described earlier [47]. The cells were cultured in Erlenmeyer flasks and induced by the addition of isopropyl-β-D-thiogalactopyranoside (IPTG) to the final concentration of 1 mM at OD750 0.5, followed by transfer onto 96-well plates and analysis (fluorescence and OD750) at the specified timepoints. The fluorescence values were always measured in three technical replicates from different number of independent cultures (n = 6, n = 3 or n = 1; see the"Results" section), and used for calculating the average expression levels and standard deviations relative to OD750. Typically, all suspension cultures were carried out in the presence of supplemented antibiotics (5 µg ml−1 Cm for the integration mutants, and additional 25 µg ml−1 Sp for the control strain harboring pDF-lac2*), except for the stability experiment (Fig. 6), which was conducted in the absence of antibiotics. The relative expression rates (Fig. 2; grey dotted lines) representing the initial fluorescent signal increase over the first hours after induction, were calculated based on the linear fit of the three most consistent timepoints between 0 and 6 h after induction, and averaged between the three parallel measurements.

Stability of expression strains in long-term step-wise batch cultivations

To test the stability of the generated Synechocystis strains, the cells were grown in a batch culture series for six weeks in the absence of antibiotics (Fig. 6). The cultures were carried out in 100 ml Erlenmeyer flasks (50 ml volume), and at each round the cells were first diluted to OD750 0.1 with fresh BG-11. After two days of cultivation the optical density was adjusted to 0.5, followed by the induction with IPTG (1 mM), and measurement of sYFP2 fluorescence after six hours of incubation. The fluorescence was measured again after each one-week cultivation period (at this stage the OD750 was around 6–7), adjusted to 0.1 and repeated as before. At each round, the axenity of the cultures was confirmed on LB agar plates. At the end of the six-week culture trial the strains were tested again for segregation using colony PCR (Additional file 1: Fig. S6).

Sample preparation for syfp2 RT- qPCR

For the relative copy number analysis, cell cultures were grown in 25 ml BG11 (50 ml Erlenmeyer flasks) supplemented with appropriate antibiotics (as described above), and incubated at 30 °C with agitation (150 rpm) under a 12 h light (25 μmol photons m−2 s−1) /12 h dark regimen. The cultures were first inoculated at OD730 ~ 0.3 and grown to OD730 ~ 2, and then diluted to 0.3 and grown until OD730 ~ 1.5. The axenity of the cultures was confirmed on LB agar plates. For each strain, samples (12.5 ml) were collected in duplicates by centrifugation at 4470 g for 8 min at RT. The cell pellets were resuspended in 2 ml storage buffer (NaCl 150 mM, EDTA 1 mM and Tris–HCl 10 mM, pH 8.0) transferred into 2 ml screw-cap tubes and centrifuged at 13,400 g for 5 min (RT). The supernatant was discarded, and cell pellets were stored at − 20 °C until further use. To obtain the DNA template for the RT-qPCR, cell pellets were thawed on ice and resuspended in 150 µl of resuspension buffer (EDTA 10 mM and Tris–HCl 50 mM, pH 8.0) with 0.1 g of 0.2 mm-diameter glass beads (acid washed, Sigma). The cells were disrupted in two consecutive cycles of vortexing (1 min) and incubation on ice (1 min), followed by centrifugation at 13,400 g for 5 min at 4 °C. The supernatants were kept and the quality and integrity was inspected in 1% (w/v) agarose gel performed by standard protocols using TAE buffer. The nucleic acid concentration and purity (the ratios A260/A280 and A260/A230) were measured using NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Inc.; USA). The concentration of double stranded DNA (dsDNA) was determined for each sample using the Quantifluor® Dye System and measured in the Quantus™ fluorometer, according to the manufacturer’s instructions (Promega, USA). For the RT-qPCR, the dsDNA concentration of all samples was adjusted to 50 ng µl−1, and subsequently diluted to 5 ng µl−1.

RT-qPCR for the determination of syfp2 relative copy number

The RT-qPCR was performed on Hard-Shell® 384-Well PCR Plates (thin wall, skirted, clear/white) covered with Microseal® B PCR plate sealing film (Bio-Rad, USA). The reactions (10 µl) were manually assembled and contained 0.125 mM of each primer (see Additional file 1: Table S3), 5 µl of iTaq Universal SYBR Green Supermix (Bio-Rad) and 1 µl of template dsDNA (final concentration 5 ng µl−1). The PCR protocol used was: 3 min at 95 °C followed by 40 cycles of 30 s at 95 °C, and 30 s at 60 °C. In the end, a melting curve analysis of the amplicons (10 s cycles between 55 and 95 °C with a 0.5 °C increment per cycle) was carried out. Five standard tenfold dilutions of the dsDNA were used to check the relative efficiency and quality of primers. Negative controls (without template dsDNA) were included. The RT-qPCR reactions were performed with three independent experimental trials and technical triplicates of each dsDNA sample in the CFX384 Touch Real-Time PCR Detection System (Bio-Rad). The data obtained were analyzed using the Bio-Rad CFX Maestro™ 1.1 software (Bio-Rad), implementing an efficiency-corrected delta-delta Cq method (ΔΔCq). The rrn16Sa.b and petB were validated as reference genes for data normalization using the reference gene selection tool available in the Maestro™ software. The slr0944 (arsB) locus was selected as the control condition representing relative expression equal to one. Statistical analysis was performed by means of a one-way ANOVA using the same software, and tests were considered significant if P < 0.05.

The size of the PCR products for each gene was verified by agarose gel electrophoresis and, the amplicons were also cloned into the pGEM-T® Easy (Promega) vector according to the manufacturer’s instructions, and the DNA sequence was confirmed by Sanger sequencing (StabVida, Portugal). These experiments were compliant with the MIQE guidelines [78] to promote the effort for experimental consistency and transparency, and to increase the reliability and integrity of the results obtained.

Availability of data and materials

The raw data and the research material described in the article are available on request.

References

  1. Heidorn T, Camsund D, Huang H-H, Lindberg P, Oliveira P, Stensjö K, et al. Synthetic biology in cyanobacteria: engineering and analyzing novel functions. Method Enzymol. 2011;497:539–79.

    CAS  Article  Google Scholar 

  2. Berla BM, Saha R, Immethun CM, Maranas CD, Moon TS, Pakrasi HB. Synthetic biology of cyanobacteria: unique challenges and opportunities. Front Microbiol. 2013;4:246.

    PubMed  PubMed Central  Article  Google Scholar 

  3. Clerico EM, Ditty JL, Golden SS. Specialized techniques for site-directed mutagenesis in cyanobacteria. In: Rosato E, editor. Circadian rhythms: Methods and protocols. Methods in molecular biology. Totowa: Humana Press; 2007. p. 155–71.

    Google Scholar 

  4. Carbonell V, Vuorio E, Aro E-M, Kallio P. Enhanced stable production of ethylene in photosynthetic cyanobacterium Synechococcus elongatus PCC 7942. W J Microbiol Biotechnol. 2019;35(5):77.

    Article  CAS  Google Scholar 

  5. Sauer C, Syvertsson S, Bohorquez LC, Cruz R, Harwood CR, van Rij T, et al. Effect of genome position on heterologous gene expression in Bacillus subtilis: an unbiased analysis. ACS Synth Biol. 2016;5(9):942–7.

    CAS  PubMed  Article  Google Scholar 

  6. Zerulla K, Ludt K, Soppa J. The ploidy level of Synechocystis sp. PCC 6803 is highly variable and is influenced by growth phase and by chemical and physical external parameters. Microbiology. 2016;162(5):730–9.

    CAS  PubMed  Article  Google Scholar 

  7. Watanabe S. Cyanobacterial multi-copy chromosomes and their replication. Biosci Biotechnol Biochem. 2020;84(7):1309–21.

    CAS  PubMed  Article  Google Scholar 

  8. Bilyk B, Horbal L, Luzhetskyy A. Chromosomal position effect influences the heterologous expression of genes and biosynthetic gene clusters in Streptomyces albus J1074. Microb Cell Fact. 2017;16(1):5.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  9. Bryant JA, Sellars LE, Busby SJW, Lee DJ. Chromosome position effects on gene expression in Escherichia coli K-12. Nucleic Acids Res. 2014;42(18):11383–92.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  10. Hamilton TL, Bryant DA, Macalady JL. The role of biology in planetary evolution: cyanobacterial primary production in low-oxygen Proterozoic oceans. Environ Microbiol. 2016;18(2):325–40.

    CAS  PubMed  Article  Google Scholar 

  11. Mills LA, McCormick AJ, Lea-Smith DJ. Current knowledge and recent advances in understanding metabolism of the model cyanobacterium Synechocystis sp. PCC 6803. 2020. Biosci Rep. https://doi.org/10.1042/BSR20193325

  12. Lea-Smith DJ, Bombelli P, Vasudevan R, Howe CJ. Photosynthetic, respiratory and extracellular electron transport pathways in cyanobacteria. BBA - Bioenergetics. 2016;1857(3):247–55.

    CAS  PubMed  Article  Google Scholar 

  13. Mullineaux CW. Co-existence of photosynthetic and respiratory activities in cyanobacterial thylakoid membranes. BBA - Bioenergetics. 2014;1837(4):503–11.

    CAS  PubMed  Article  Google Scholar 

  14. Netzer-El SY, Caspy I, Nelson N. Crystal structure of Photosystem I monomer from Synechocystis PCC 6803. Front Plant Sci. 2019;9:1865.

    PubMed  PubMed Central  Article  Google Scholar 

  15. Shen J-R. The structure of Photosystem II and the mechanism of water oxidation in photosynthesis. Annu Rev Plant Biol. 2015;66(1):23–48.

    CAS  PubMed  Article  Google Scholar 

  16. Forchhammer K, Selim KA. Carbon/nitrogen homeostasis control in cyanobacteria. FEMS Microbiol Rev. 2019;44(1):33–53.

    PubMed Central  Article  CAS  Google Scholar 

  17. Nikkanen L, Solymosi D, Jokel M, Allahverdiyeva Y. Regulatory electron transport pathways of photosynthesis in cyanobacteria and microalgae: Recent advances and biotechnological prospects. Physiol Plant. 2021. https://doi.org/10.1111/ppl.13404.

    Article  PubMed  Google Scholar 

  18. Ermakova M, Huokko T, Richaud P, Bersanini L, Howe CJ, Lea-Smith DJ, et al. Distinguishing the roles of thylakoid respiratory terminal oxidases in the cyanobacterium Synechocystis sp. PCC 6803. Plant Physiol. 2016;171(2):1307–19.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Allahverdiyeva Y, Suorsa M, Tikkanen M, Aro E-M. Photoprotection of photosystems in fluctuating light intensities. J Exp Bot. 2014;66(9):2427–36.

    PubMed  Article  CAS  Google Scholar 

  20. Knoot CJ, Ungerer J, Wangikar PP, Pakrasi HB. Cyanobacteria: promising biocatalysts for sustainable chemical production. J Biol Chem. 2018;293(14):5044–52.

    CAS  PubMed  Article  Google Scholar 

  21. Lau N-S, Matsui M, Abdullah AA-A. Cyanobacteria: Photoautotrophic microbial factories for the sustainable synthesis of industrial products. BioMed Res Int. 2015;2015:754934.

    PubMed  PubMed Central  Google Scholar 

  22. Sun L, Alper HS. Non-conventional hosts for the production of fuels and chemicals. Curr Opin Chem Biol. 2020;59:15–22.

    CAS  PubMed  Article  Google Scholar 

  23. Trautmann D, Voss B, Wilde A, Al-Babili S, Hess WR. Microevolution in cyanobacteria: Re-sequencing a motile substrain of Synechocystis sp. PCC 6803. DNA Res. 2012;19(6):435–48.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. Morris JN, Eaton-Rye JJ, Summerfield TC. Phenotypic variation in wild-type substrains of the model cyanobacterium Synechocystis sp. PCC 6803. New Zeal J Bot. 2017;55(1):25–35.

    Article  Google Scholar 

  25. Ikeuchi M, Tabata S. Synechocystis sp. PCC 6803—a useful tool in the study of the genetics of cyanobacteria. Photosynth Res. 2001;70(1):73–83.

    CAS  PubMed  Article  Google Scholar 

  26. Jaiswal D, Sengupta A, Sohoni S, Sengupta S, Phadnavis AG, Pakrasi HB, et al. Genome features and biochemical characteristics of a robust, fast growing and naturally transformable cyanobacterium Synechococcus elongatus PCC 11801 isolated from India. Sci Rep. 2018;8(1):16632.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  27. Ludwig M, Bryant DA. Synechococcus sp. strain PCC 7002 transcriptome: acclimation to temperature, salinity, oxidative stress, and mixotrophic growth conditions. Front Microbiol. 2012;3:354.

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Santos-Merino M, Singh AK, Ducat DC. New applications of synthetic biology tools for cyanobacterial metabolic engineering. Front Bioeng Biotechnol. 2019;7:33.

    PubMed  PubMed Central  Article  Google Scholar 

  29. Gale GAR, Schiavon Osorio AA, Mills LA, Wang B, Lea-Smith DJ, McCormick AJ. Emerging species and genome editing tools: future prospects in cyanobacterial synthetic biology. Microorganisms. 2019;7(10):409.

    CAS  PubMed Central  Article  Google Scholar 

  30. Wang F, Gao Y, Yang G. Recent advances in synthetic biology of cyanobacteria for improved chemicals production. Bioengineered. 2020;11(1):1208–20.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  31. Griese M, Lange C, Soppa J. Ploidy in cyanobacteria. FEMS Microbiol Lett. 2011;323(2):124–31.

    CAS  PubMed  Article  Google Scholar 

  32. Kaneko T, Nakamura Y, Sasamoto S, Watanabe A, Kohara M, Matsumoto M, et al. Structural analysis of four large plasmids harboring in a unicellular cyanobacterium, Synechocystis sp. PCC 6803. DNA Res. 2003;10(5):221–8.

    CAS  PubMed  Article  Google Scholar 

  33. Xu WD, McFadden BA. Sequence analysis of plasmid pCC5.2 from cyanobacterium Synechocystis PCC 6803 that replicates by a rolling circle mechanism. Plasmid. 1997;37(2):95–104.

    CAS  PubMed  Article  Google Scholar 

  34. Yang XY, McFadden BA. A small plasmid, pCA2.4, from the cyanobacterium Synechocystis sp. strain PCC 6803 encodes a rep protein and replicates by a rolling circle mechanism. J Bacteriol. 1993;175(13):3981–91.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  35. Yang XY, McFadden BA. The complete DNA sequence and replication analysis of the plasmid pCB2.4 from the cyanobacterium Synechocystis PCC 6803. Plasmid. 1994;31(2):131–7.

    CAS  PubMed  Article  Google Scholar 

  36. Armshaw P, Carey D, Sheahan C, Pembroke JT. Utilising the native plasmid, pCA2.4, from the cyanobacterium Synechocystis sp. strain PCC6803 as a cloning site for enhanced product production. Biotechnol Biofuels. 2015;8:201.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  37. Scholz P, Haring V, Wittmann-Liebold B, Ashman K, Bagdasarian M, Scherzinger E. Complete nucleotide sequence and gene organization of the broad-host-range plasmid RSF1010. Gene. 1989;75(2):271–88.

    CAS  PubMed  Article  Google Scholar 

  38. Mermet-Bouvier P, Chauvat F. A conditional expression vector for the cyanobacteria Synechocystis sp. strains PCC6803 and PCC6714 or Synechococcus sp. strains PCC7942 and PCC6301. Curr Microbiol. 1994;28:145–8.

    CAS  PubMed  Article  Google Scholar 

  39. Huang HH, Camsund D, Lindblad P, Heidorn T. Design and characterization of molecular tools for a synthetic biology approach towards developing cyanobacterial biotechnology. Nucleic Acids Res. 2010;38(8):2577–93.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  40. Guerrero F, Carbonell V, Cossu M, Correddu D, Jones PR. Ethylene synthesis and regulated expression of recombinant protein in Synechocystis sp. PCC 6803. PLoS ONE. 2012;7(11):e50470.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  41. Ferreira EA, Pacheco CC, Pinto F, Pereira J, Lamosa P, Oliveira P, et al. Expanding the toolbox for Synechocystis sp. PCC 6803: Validation of replicative vectors and characterization of a novel set of promoters. Synth Biol. 2018. https://doi.org/10.1093/synbio/ysy014.

    Article  Google Scholar 

  42. Vasudevan R, Gale GAR, Schiavon AA, Puzorjov A, Malin J, Gillespie MD, et al. CyanoGate: a modular cloning suite for engineering cyanobacteria based on the plant MoClo syntax. Plant Physiol. 2019;180(1):39–55.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  43. Liu D, Pakrasi HB. Exploring native genetic elements as plug-in tools for synthetic biology in the cyanobacterium Synechocystis sp. PCC 6803. Microb Cell Fact. 2018;17(1):48.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  44. Jin H, Wang Y, Idoine A, Bhaya D. Construction of a shuttle vector using an endogenous plasmid from the cyanobacterium Synechocystis sp. PCC 6803. Front Microbiol. 2018;9:1662.

    PubMed  PubMed Central  Article  Google Scholar 

  45. Xiao Y, Wang S, Rommelfanger S, Balassy A, Barba-Ostria C, Gu P, et al. Developing a Cas9-based tool to engineer native plasmids in Synechocystis sp. PCC 6803. Biotechnol Bioeng. 2018;115(9):2305–14.

    CAS  PubMed  Article  Google Scholar 

  46. Nagai T, Ibata K, Park ES, Kubota M, Mikoshiba K, Miyawaki A. A variant of yellow fluorescent protein with fast and efficient maturation for cell-biological applications. Nat Biotech. 2002;20(1):87–90.

    CAS  Article  Google Scholar 

  47. Thiel K, Mulaku E, Dandapani H, Nagy C, Aro E-M, Kallio P. Translation efficiency of heterologous proteins is significantly affected by the genetic context of RBS sequences in engineered cyanobacterium Synechocystis sp. PCC 6803. Microb Cell Fact. 2018;17(1):34.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  48. Mustila H, Allahverdiyeva Y, Isojärvi J, Aro E-M, Eisenhut M. The bacterial-type [4Fe-4S] ferredoxin 7 has a regulatory function under photooxidative stress conditions in the cyanobacterium Synechocystis sp. PCC 6803. BBA - Bioenergetics. 2014;1837(8):1293–304.

    CAS  PubMed  Article  Google Scholar 

  49. Mustila H, Paananen P, Battchikova N, Santana-Sánchez A, Muth-Pawlak D, Hagemann M, et al. The flavodiiron protein Flv3 functions as a homo-oligomer during stress acclimation and is distinct from the Flv1/Flv3 hetero-oligomer specific to the O2 photoreduction pathway. Plant Cell Physiol. 2016;57(7):1468–83.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Thiel K, Patrikainen P, Nagy C, Fitzpatrick D, Pope N, Aro E-M, et al. Redirecting photosynthetic electron flux in the cyanobacterium Synechocystis sp. PCC 6803 by the deletion of flavodiiron protein Flv3. Microb Cell Fact. 2019;18(1):189.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  51. Jokel M, Nagy V, Tóth SZ, Kosourov S, Allahverdiyeva Y. Elimination of the flavodiiron electron sink facilitates long-term H2 photoproduction in green algae. Biotechnol Biofuels. 2019;12:280.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  52. Assil-Companioni L, Büchsenschütz HC, Solymosi D, Dyczmons-Nowaczyk NG, Bauer KKF, Wallner S, et al. Engineering of NADPH supply boosts photosynthesis-driven biotransformations. ACS Catal. 2020;10(20):11864–77.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  53. López-Maury L, Florencio FJ, Reyes JC. Arsenic sensing and resistance system in the cyanobacterium Synechocystis sp.strain PCC 6803. J Bacteriol. 2003;185(18):5363–71.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  54. Rupprecht E, Gathmann S, Fuhrmann E, Schneider D. Three different DnaK proteins are functionally expressed in the cyanobacterium Synechocystis sp. PCC 6803. Microbiology. 2007;153(6):1828–41.

    CAS  PubMed  Article  Google Scholar 

  55. Nagy CI, Vass I, Rákhely G, Vass IZ, Tóth A, Duzs Á, et al. Coregulated genes link sulfide:quinone oxidoreductase and arsenic metabolism in Synechocystis sp. strain PCC6803. J Bacteriol. 2014;196(19):3430–40.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  56. López-Maury L, Maria Sanchez-Riego A, Carlos Reyes J, Florencio FJ. The glutathione/glutaredoxin system is essential for arsenate reduction in Synechocystis sp. strain PCC 6803. J Bacteriol. 2009;191(11):3534–43.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  57. Kopfmann S, Hess WR. Toxin-antitoxin systems on the large defense plasmid pSYSA of Synechocystis sp. PCC 6803. J Biol Chem. 2013;288(10):7399–409.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  58. Ng AH, Berla BM, Pakrasi HB. Fine-tuning of photoautotrophic protein production by combining promoters and neutral sites in the cyanobacterium Synechocystis sp. strain PCC 6803. Appl Environ Microbiol. 2015;81(19):6857–63.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  59. Lindberg P, Park S, Melis A. Engineering a platform for photosynthetic isoprene production in cyanobacteria, using Synechocystis as the model organism. Metab Eng. 2010;12(1):70–9.

    CAS  PubMed  Article  Google Scholar 

  60. Angermayr SA, Paszota M, Hellingwerf KJ. Engineering a cyanobacterial cell factory for production of lactic acid. Appl Environ Microbiol. 2012;78(19):7098–106.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  61. Kremers GJ, Goedhart J, van Munster EB, Gadella TW. Cyan and yellow super fluorescent proteins with improved brightness, protein folding, and FRET Förster radius. Biochem. 2006;45(21):6570–80.

    CAS  Article  Google Scholar 

  62. Ku JT, Lan EI. A balanced ATP driving force module for enhancing photosynthetic biosynthesis of 3-hydroxybutyrate from CO2. Metab Eng. 2018;46:35–42.

    CAS  PubMed  Article  Google Scholar 

  63. Wu W, Du W, Gallego RP, Hellingwerf KJ, van der Woude AD, Branco Dos Santos F. Using osmotic stress to stabilize mannitol production in Synechocystis sp. PCC 6803. Biotechnol Biofuels. 2020;13:117.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  64. Borirak O, de Koning LJ, van der Woude AD, Hoefsloot HC, Dekker HL, Roseboom W, et al. Quantitative proteomics analysis of an ethanol- and a lactate-producing mutant strain of Synechocystis sp. PCC 6803. Biotechnol Biofuels. 2015;8:111.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  65. Pinto F, Pacheco CC, Oliveira P, Montagud A, Landels A, Couto N, et al. Improving a Synechocystis-based photoautotrophic chassis through systematic genome mapping and validation of neutral sites. DNA Res. 2015;22(6):425–37.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  66. Million-Weaver S, Camps M. Mechanisms of plasmid segregation: Have multicopy plasmids been overlooked? Plasmid. 2014;75:27–36.

    CAS  PubMed  Article  Google Scholar 

  67. Kopfmann S, Roesch SK, Hess WR. Type II toxin-antitoxin systems in the unicellular cyanobacterium Synechocystis sp. PCC 6803. Toxins. 2016;8(7):228.

    PubMed Central  Article  CAS  Google Scholar 

  68. Stieber D, Gabant P, Szpirer C. The art of selective killing: plasmid toxin/antitoxin systems and their technological applications. Biotechniques. 2008;45(3):344–6.

    CAS  PubMed  Article  Google Scholar 

  69. Taton A, Unglaub F, Wright NE, Zeng WY, Paz-Yepes J, Brahamsha B, et al. Broad-host-range vector system for synthetic biology and biotechnology in cyanobacteria. Nucleic Acids Res. 2014;42(17):e136.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  70. Bishé B, Taton A, Golden JW. Modification of RSF1010-based broad-host-range plasmids for improved conjugation and cyanobacterial bioprospecting. IScience. 2019;20:216–28.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  71. Zhu T, Xiaoman X, Zhimin L, Xiaoming T, Xuefeng L. Enhancing photosynthetic production of ethylene in genetically engineered Synechocystis sp. PCC 6803. Green Chem. 2015;17:421–34.

    CAS  Article  Google Scholar 

  72. Williams JGK. Construction of specific mutations in Photosystem II photosynthetic reaction center by genetic engineering methods in Synechocystis 6803. Method Enzymol. 1988;167:766–78.

    CAS  Article  Google Scholar 

  73. Rippka R, Deruelles J, Waterbury JB, Herdman M, Stanier RY. Generic assignments, strain histories and properties of pure cultures of cyanobacteria. J Gen Microbiol. 1979;111(1):1–61.

    Google Scholar 

  74. Mitschke J, Georg J, Scholz I, Sharma CM, Dienst D, Bantscheff J, et al. An experimentally anchored map of transcriptional start sites in the model cyanobacterium Synechocystis sp. PCC 6803. Proc Natl Acad Sci U S A. 2011;108(5):2124–9.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  75. Lutz R, Bujard H. Independent and tight regulation of transcriptional units in Escherichia coli via the LacR/O, the TetR/O and AraC/I1-I2 regulatory elements. Nucleic Acids Res. 1997;25(6):1203–10.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  76. Zelcbuch L, Antonovsky N, Bar-Even A, Levin-Karp A, Barenholz U, Dayagi M, et al. Spanning high-dimensional expression space using ribosome-binding site combinatorics. Nucleic Acids Res. 2013;41(9):e98.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  77. Eaton-Rye JJ. Construction of gene interruptions and gene deletions in the cyanobacterium Synechocystis sp. strain PCC 6803. In: Carpentier R, editor. Photosynthesis research protocols. Totowa: Humana Press; 2011. p. 295–312.

    Chapter  Google Scholar 

  78. Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, et al. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009;55(4):611–22.

    CAS  Article  PubMed  Google Scholar 

  79. Tichý M, Bečková M, Kopečná J, Noda J, Sobotka R, Komenda J. Strain of Synechocystis PCC 6803 with aberrant assembly of Photosystem II contains tandem duplication of a large chromosomal region. Front Plant Sci. 2016;7:648.

    PubMed  PubMed Central  Article  Google Scholar 

  80. Pope MA, Hodge JA, Nixon PJ. An improved natural transformation protocol for the cyanobacterium Synechocystis sp. PCC 6803. Front Plant Sci. 2020;11:372.

    PubMed  PubMed Central  Article  Google Scholar 

  81. Labarre J, Chauvat F, Thuriaux P. Insertional mutagenesis by random cloning of antibiotic resistance genes into the genome of the cyanobacterium Synechocystis strain PCC 6803. J Bacteriol. 1989;171(6):3449–57.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  82. Gärtner K, Klähn S, Watanabe S, Mikkat S, Scholz I, Hess WR, et al. Cytosine N4-methylation via M.Ssp6803II is involved in the regulation of transcription, fine- tuning of DNA replication and DNA repair in the cyanobacterium Synechocystis sp. PCC 6803. Front Microbiol. 2019;10:1233.

    PubMed  PubMed Central  Article  Google Scholar 

  83. Klotz A, Georg J, Bučinská L, Watanabe S, Reimann V, Januszewski W, et al. Awakening of a dormant cyanobacterium from nitrogen chlorosis reveals a genetically determined program. Curr Biol. 2016;26(21):2862–72.

    CAS  PubMed  Article  Google Scholar 

  84. Berla BM, Pakrasi HB. Upregulation of plasmid genes during stationary phase in Synechocystis sp. strain PCC 6803, a cyanobacterium. Appl Environ Microbiol. 2012;78(15):5448–51.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  85. Marraccini P, Bulteau S, Cassier-Chauvat C, Mermet-Bouvier P, Chauvat F. A conjugative plasmid vector for promoter analysis in several cyanobacteria of the genera Synechococcus and Synechocystis. Plant Mol Biol. 1993;23(4):905–9.

    CAS  PubMed  Article  Google Scholar 

  86. Mermet-Bouvier P, Cassier-Chauvat C, Marraccini P, Chauvat F. Transfer and replication of RSF1010-derived plasmids in several cyanobacteria of the genera Synechocystis and Synechococcus. Curr Microbiol. 1993;27(6):323–7.

    CAS  Article  Google Scholar 

  87. Ng W-O, Zentella R, Wang Y, Taylor J-SA, Pakrasi HB. phrA, the major photoreactivating factor in the cyanobacterium Synechocystis sp. strain PCC 6803 codes for a cyclobutane-pyrimidine-dimer-specific DNA photolyase. Arch Mic. 2000;173(5):412–7.

    CAS  Article  Google Scholar 

  88. Lagarde D, Beuf L, Vermaas M. Increased production of zeaxanthin and other pigments by application of genetic engineering techniques to Synechocystis sp. strain PCC 6803. Appl Environ Microbiol. 2000;66(1):64–72.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  89. Dexter J, Fu PC. Metabolic engineering of cyanobacteria for ethanol production. Energy Environ Sci. 2009;2(8):857–64.

    CAS  Article  Google Scholar 

  90. Bentley FK, Melis A. Diffusion-based process for carbon dioxide uptake and isoprene emission in gaseous/aqueous two-phase photobioreactors by photosynthetic microorganisms. Biotechnol Bioeng. 2012;109(1):100–9.

    CAS  PubMed  Article  Google Scholar 

  91. Bentley FK, Zurbriggen A, Melis A. Heterologous expression of the mevalonic acid pathway in cyanobacteria enhances endogenous carbon partitioning to isoprene. Mol Plant. 2014;7(1):71–86.

    CAS  PubMed  Article  Google Scholar 

  92. Kunert A, Hagemann M, Erdmann N. Construction of promoter probe vectors for Synechocystis sp. PCC 6803 using the light-emitting reporter systems Gfp and LuxAB. J Microbiol Meth. 2000;41(3):185–94.

    CAS  Article  Google Scholar 

  93. Albers SC, Gallegos VA, Peebles CAM. Engineering of genetic control tools in Synechocystis sp. PCC 6803 using rational design techniques. J Biotech. 2015;216:36–46.

    CAS  Article  Google Scholar 

  94. Varman AM, Xiao Y, Pakrasi HB, Tang YJJ. Metabolic engineering of Synechocystis sp. strain PCC 6803 for isobutanol production. Appl Environ Microbiol. 2013;79(3):908–14.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

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Acknowledgements

The authors acknowledge the technical and scientific support of the i3S Scientific Platform “Cell Culture and Genotyping” in the RT-qPCR experiments. The authors also collectively thank Malin Eriksson for her contribution in compiling and organizing raw lab book data for the revision.

Funding

The research was financially supported by the Academy of Finland Centre of Excellence (#307335), NordForsk Nordic Centre of Excellence (#82845) and Jane and Aatos Erkko Foundation (#4605–26422). The work also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Action—Innovative Training Network 2017 (#764920), and Fundação para a Ciência e a Tecnologia (CEECIND/00259/2017 to CCP).

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The experimental design, strain engineering, characterization and data analysis were primarily carried out by CN, KT and EM. The microarray work and RT-qPCR analysis were conducted exclusively by HM and CCP, respectively. All authors participated in data interpretation and manuscript preparation, while CCP and PK were primarily responsible for the revision. Conceptual design of the work and manuscript preparation was coordinated by PK. All authors read and approved the final manuscript.

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Correspondence to Pauli Kallio.

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Supplementary Information

Additional file 1: Fig. S1

. Integration vector backbone sequence and plasmid map. Fig. S2. sYFP2 reporter construct sequence and plasmid map. Fig. S3. Colony PCR verification of the generated Synechocystis strains. Fig. S4. Negative fluorescent control (Synechocystis WT) for Fig. 2. Fig. S5. Agarose gel of the cell lysates used as template for RT-qPCR. Fig. S6. Colony PCR verification of genetic stability after six-week cultivation. Table S1. Conditional expression FCs (mRNA) of the selected target gene candidates. Table S2. Conditional expression FCs (mRNA) of additional gene targets. Table S3. List and descriptions of the PCR primers used in the study. Table S4. Integration constructs generated for sYFP2 expression. Table S5. Data of the RT-qPCR syfp2 analysis. Table S6. Amplicon-specific parameters in RT-qPCR.

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Nagy, C., Thiel, K., Mulaku, E. et al. Comparison of alternative integration sites in the chromosome and the native plasmids of the cyanobacterium Synechocystis sp. PCC 6803 in respect to expression efficiency and copy number. Microb Cell Fact 20, 130 (2021). https://doi.org/10.1186/s12934-021-01622-2

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Keywords

  • Synechocystis sp. PCC 6803
  • Genomic integration
  • sYFP2
  • Native plasmids
  • Replicon copy number