Open Access

Streamlining recombination-mediated genetic engineering by validating three neutral integration sites in Synechococcus sp. PCC 7002

  • Anne Ilse Maria Vogel1,
  • Rahmi Lale1 and
  • Martin Frank Hohmann-Marriott1Email author
Journal of Biological Engineering201711:19

DOI: 10.1186/s13036-017-0061-8

Received: 23 December 2016

Accepted: 8 May 2017

Published: 5 June 2017

Abstract

Background

Synechococcus sp. PCC 7002 (henceforth Synechococcus) is developing into a powerful synthetic biology chassis. In order to streamline the integration of genes into the Synechococcus chromosome, validation of neutral integration sites with optimization of the DNA transformation protocol parameters is necessary. Availability of BioBrick-compatible integration modules is desirable to further simplifying chromosomal integrations.

Results

We designed three BioBrick-compatible genetic modules, each targeting a separate neutral integration site, A2842, A0935, and A0159, with varying length of homologous region, spanning from 100 to 800 nt. The performance of the different modules for achieving DNA integration were tested. Our results demonstrate that 100 nt homologous regions are sufficient for inserting a 1 kb DNA fragment into the Synechococcus chromosome. By adapting a transformation protocol from a related cyanobacterium, we shortened the transformation procedure for Synechococcus significantly.

Conclusions

The optimized transformation protocol reported in this study provides an efficient way to perform genetic engineering in Synechococcus. We demonstrated that homologous regions of 100 nt are sufficient for inserting a 1 kb DNA fragment into the three tested neutral integration sites. Integration at A2842, A0935 and A0159 results in only a minimal fitness cost for the chassis. This study contributes to developing Synechococcus as the prominent chassis for future synthetic biology applications.

Keywords

Synechococcus sp. PCC7002 Neutral integration sites Genetic engineering Transformation BioBrick Cyanobacteria Synthetic biology

Background

The ability of cyanobacteria to utilize sunlight for capturing CO2 makes them powerful cell factories [1]. Cyanobacteria can be genetically engineered to produce industrially relevant chemicals such as isobutanol [2], sucrose [3], hydrogen [4] and ethylene [5]. When choosing a cyanobacterium as a chassis, genetic amenability and growth characteristics are important criteria. Several cyanobacterial strains are already available which possess promising traits for biotechnology.

Synechocystis sp. PCC 6803 (henceforth Synechocystis) is the most frequently investigated cyanobacterium and several genetic tools have been designed for effective metabolic engineering [6]. However, Synechocystis has a relatively slow doubling time, minimally 8 h [7], and prefers freshwater medium for growth, limiting its’ potential as a biotechnological platform.

The halotolerant cyanobacterium Synechococcus sp. PCC 7002 (formerly known as Agmenellum quadruplicatum strain PR-6, henceforth Synechococcus) is an excellent chassis for biotechnological applications. Synechococcus can utilize high-light irradiation, hence enabling Synechococcus to grow with a short doubling time of under 3 h [810]. Furthermore, Synechococcus can grow photoautotrophically, mixotrophically or heterotrophically and tolerates a wide range of temperatures and salt concentrations [8, 9, 1113].

The interest in developing Synechococcus as a chassis in biotechnological applications is reflected by recent efforts to develop advanced genetic tools for this organism. A promoter library with IPTG or anhydrotetracycline-inducible gene cassettes is available, as well as an endogenous plasmid-based system for gene overexpression [1416]. Additionally, a fluorescent protein reporter system has been developed for Synechococcus [17]. With the advancements of synthetic biology, the BioBrick system [18] could also be utilized in Synechococcus.

A key advantage of Synechococcus is the ease of genetic engineering since Synechococcus can naturally take up linear double-stranded DNA (dsDNA) and incorporate dsDNA in its genome via homologous recombination [19]. Several transformation protocols for Synechococcus have become available with varying transformation efficiency [1922]. However, the lengths of homologous regions required for efficient chromosomal integration has only been recently investigated for one chromosomal site [17]. The optimization of the length of homologous regions is a critical parameter for two reasons; (i) it directly influences the success rate of chromosomal integration and (ii) the cost of synthetic DNA increases exponentially with the length of synthesized DNA.

Suitable neutral integration sites (NISs) for standardized integration of non-native genes are an important tool for efficient genomic engineering. Several separate studies have focused on annotating possible NISs [2325] in Synechococcus and the need for validation of NISs that are used frequently in Synechococcus has been made clear [17]. Although Ruffing et al. recently investigated the influence of the length of homologous regions on transformation efficiency at one NIS; no systematic studies are available on optimizing transformations targeting other often-used NISs in Synechococcus [17].

In this study, we study systematically how the length of homologous DNA regions affects the efficiency of chromosomal integrations in Synechococcus sp. PCC 7002 by targeting three previously annotated NISs. We generated three chromosomal integration modules carrying BioBrick Prefix and Suffix suitable for BioBrick-based cloning, forming the basis for successful synthetic biology approaches in Synechococcus.

Our results form the basis of a low-cost, high-performance transformation procedure in Synechococcus.

Methods

Organisms and maintenance culture conditions

The glycerol-utilizing strain Synechococcus sp. PCC 7002 was provided by Niels-Ulrik Frigaard (University of Copenhagen). Synechococcus wildtype and constructed mutants were maintained in a modified, Tris-buffered (pH 8.2) A+ medium derivative [19, 26], designated AA+. Instead of a P1 trace metal solution, an almost identical 1000× BG-11 trace mineral solution [20] was used. The 1000× BG-11 trace mineral solution was composed of 2.860 g/L H3BO3, 1.810 g/L MnCl2 · 4H2O, 0.222 g/L ZnSO4 · 7H2O, 0.390 g/L Na2MoO4 · 2H2O, 0.079 g/L CuSO4 · 5H2O and 0.0494 g/L Co (NO3) 2 · 6H2O. The AA+ medium protocol including the preparation of stock solutions is available at the Benchling Protocol and Data Repository [27].

Synechococcus was grown in the presence of 15 μM glycerol. Liquid cultures of Synechococcus were grown in modified 500 mL Erlenmeyer flasks with light and temperature regimes as indicated. Aeration was provided by bubbling filtered air through ddH2O into liquid cultures with air pumps. Growth was monitored by measuring the optical density at 730 nm (OD730) with a SPECTRONIC 200 E spectrophotometer (Thermo Scientific). For solid medium, AA+ medium was supplemented with 1.5% agar-agar (Merck Millipore). Cells were grown on plates with AA+ medium under constant illumination and temperature as indicated. Kanamycin was used for the selection of kanamycin resistant mutants (50 μg/mL).

Escherichia coli strain DH5α was used for cloning and plasmid amplification. E. coli was grown at 37 °C in LB medium (10 g/L tryptone, 5 g/L yeast extract, 5 g/L NaCl) in culture tubes or on agar plates. Kanamycin (50 μg/mL) or ampicillin (100 μg/mL) was added when applicable.

Plasmid construction

Three potential NISs were selected based on previous studies [2325]; henceforth called A2842, A0935 and A0159 (see Fig. 1). Plasmids were designed with Clone Manager Professional v9 (Sci-Ed Software) and with the online platform Benchling. The plasmids used as template for production of linear dsDNA fragments consisted of a pUC57-Simple backbone, the homologous regions 800 nt upstream and downstream of the NIS and an insertion of the BioBrick Prefix and BioBrick Suffix [18] between the upstream and downstream homologous region. Plasmids were ordered from Genscript and named pUC57Simple_A2842, pUC57Simple_A0935 and pUC57Simple_A0159. A BioBrick compatible kanamycin resistance cassette was inserted as described in the BioBrick Standard Assembly protocols [28]. The constructed plasmids were referred to as pUC57Simple_A2842Kan, pUC57Simple_A0935Kan and pUC57Simple_A0159Kan. Plasmid maps are available at the Benchling Plasmid Repository [29] and are displayed in the Additional file 1: Figure S1, Additional file 2: Figure S2 and Additional file 3: Figure S3.
Fig. 1

Schematic representation of the construction of neutral integration site strains. The genes in green arrows represent the genetic sites of interest. The BioBrick Prefix and Suffix are indicated in blue and the kanamycin resistance cassette in red. a, c, e Schematic representation of the genetic organization of wildtype chromosomal DNA Synechococcus sp. PCC 7002 at three NISs (not to scale). b Chromosomal DNA after homologous recombination replacing SYNPCC7002_A2842 with a kanamycin resistance cassette flanked by the BioBrick Prefix and Suffix. d Chromosomal DNA after homologous recombination inserting a kanamycin resistance cassette flanked by the BioBrick Prefix and Suffix between SYNPCC7002_A0935 and SYNPCC7002_A0936. f Chromosomal DNA after homologous recombination resulting in a disruption of SYNPCC7002_A0159 by inserting a kanamycin resistance cassette flanked by the BioBrick Prefix and Suffix

Construction of linear dsDNA fragments

Linear dsDNA fragments with either 800, 400, 200 or 100 nt homologous regions upstream and downstream of the targeted NISs were created by standard Q5High-Fidelity DNA Polymerase PCR (NEB). Either pUC57Simple_A2842Kan, pUC57Simple_A0935Kan or pUC57Simple_A0159Kan was used as template with designated primers (Additional file 4: Table S1). The correct length of PCR products was confirmed on 0.8% agarose gel and linear dsDNA fragments were purified with QIAquick PCR Purification Kit (Qiagen). Linear dsDNA fragments were diluted to a final concentration of 75 ng/μL.

Transformation of Synechococcus sp. PCC 7002

Liquid cultures of Synechococcus were grown to an OD730 of 0.4. Cells were pelleted by centrifugation at 2500 x g for 8 min at 25 °C followed by suspending in AA+ medium to an OD730 of 8. Cells were aliquoted and 1 μg linear dsDNA was added to reach a total volume of 100 μL. Cultures were maintained for 6 h under constant temperature (30 °C) and low illumination (8 μE m−2 s−1). A full protocol including preparation of chemicals and calculations is available at the Benchling Protocol and Data Repository [27].

An aliquot of the transformed culture (100 μL for OD730-based analysis, 5 μL for camera-based analysis) was plated onto sterile membranes (Nuclepore Track-Etch membrane 0.4 μm, Whatman) positioned on non-selective AA+ plates. Plates were incubated for 16 h at 30 °C and under constant low illumination (8 μE m−2 s−1). The membranes were transferred to selective AA+ plates and incubated at 30 °C under constant low light (8 μE m−2 s−1) for 24 h. Plates were then transferred to 33 °C under constant high illumination (75 μE m−2 s−1) and transformation efficiency was analyzed by two approaches.

Spectrophotometry-based transformation analysis

After 7 days under high illumination on selective plates, all colonies were scraped off from the membranes, suspended in 1 mL selective AA+ medium (50 μg/mL kanamycin) and quantified by OD730 measurements. For each strain, 2 μL were used for subsequent strain generation. Experiments were performed in triplicate.

Camera-based transformation analysis

Quantitative images of each selective AA+ plate (50 μg/mL kanamycin) under high illumination were taken during 12 days using a custom-built plate imaging system. Experiments were performed in triplicate. The intensity of the spots was calculated and data were analyzed with the software Prism version 6 (GraphPad).

Segregation of transformant Synechococcus strains

Prospective transformants were restreaked on selective AA+ plates (50 μg/mL kanamycin) and incubated at 33 °C under constant illumination (75 μE m−2 s−1). Full segregation was reached after restreaking twice within an 8-day incubation period. Full segregation was confirmed by colony PCR (Q5High-Fidelity DNA Polymerase) with primers aligning in the 800 nt homologous regions for A2842, A0935 and A0159. PCR products were visualized on 0.8% agarose gel. A wildtype strain of Synechococcus was used as a control for the PCR.

Comparative growth experiments

Fully segregated Synechococcus strains A2842, A0935 and A0159 were grown in Erlenmyer flasks, by bubbling filtered air through ddH2O, with liquid AA+ medium supplemented with kanamycin until an OD730 of 0.8. Growth of the different strains was studied in liquid and on solid AA+ medium.

For studying growth in liquid AA+ medium, an aliquot of 1 mL of the cultures was washed three times with 1 mL AA+ medium and 40 μL of the cell suspension were transferred to culture flasks containing 40 mL non-selective AA+ medium. Cells were incubated in flasks at 33 °C, under constant agitation (150 rpm) and illumination (75 μE m−2 s−1). Growth was monitored by spectrophotometric measurements at OD730 every 24 h for 12 days.

For studying growth on solid AA+ medium, cultures were diluted 100 times and 2 μL of each culture was spotted on non-selective plates in triplicate. Plates were incubated at 33 °C with constant illumination (75 μE m−2 s−1). Quantitative images of plates were taken every 12 h for 9 days by using a custom-built plate imaging system and the change in intensity of the spots was calculated. Both experiments were performed in triplicate and a wildtype strain of Synechococcus was used as control. Raw data was used to calculate growth rates with the grofit package (logistic growth) in R as described before [30, 31]. Growth rates were normalized as percentage growth density of the wildtype and visualized with the software Prism version 6 (GraphPad).

Results and discussion

Neutral integration sites in Synechococcus sp. PCC 7002

In order to streamline genetic engineering in Synechococcus sp. PCC 7002, we validated three NISs that are regularly used in Synechococcus; henceforth noted as A2842, A0935 and A0159. Begemann et al. showed that the insertion of DNA fragments in glpK (SYNPCC7002_A2842) has no influence on the physiology of Synechococcus [23]. SYNPCC7002_A2842 has previously been annotated as a pseudogene due to a frameshift in the genetic sequence. However, recent research suggests that the presumed frameshift is due to a sequencing error, indicating that glpK is still intact in the genome of Synechococcus [32]. The NIS noted as A0935 is based on a study by Davies et al. who showed that insertion of DNA between the two open-reading frames of the hypothetical proteins SYNPCC7002_A0935 and SYNPCC7002_A0936 of Synechococcus leads to no adverse change in the growth rate [24]. Sakamoto et al. showed that deletion of desB (SYNPCC7002_A0159) has no influence on Synechococcus growth at temperatures above 22 °C [25] and this site is already regularly used as a NIS [17]. Since Synechococcus is routinely grown at 33–38 °C, the gene SYNPCC7002_A0159 is assumed a NIS when standard conditions are met [25]. Based on these previous studies, we expected that insertion of DNA into the three NISs would not have an adverse effect on growth. In order to replicate the use of the NIS as closely as possible, we decided to use the same gene insertion approach as used in previous studies. Figure 1 provides a complete overview of the genetic context and gene insertion approaches used in our study.

Assessment of transformation efficiency

Natural transformation in Synechococcus relies on the presence of homologous regions between the chromosome and the dsDNA that is transferred. We were therefore interested in how the length of the homologous region of the dsDNA would influence the success of transformation. Transformation protocols for Synechococcus use homologous regions that vary from 250 to 1000 nt [3335]. Since synthesizing homologous regions is a crucial cost factor, we assessed which minimal length of homologous regions still results in a suitable high number of transformants. To study the influence of the homologous regions on transformation success, we designed four genetic modules for each of the three NISs A2842, A0159 and A0935. Each construct contained either 800, 400, 200 or 100 nt homologous region of the targeted NIS and a kanamycin resistance cassette flanked by BioBrick Prefix and Suffix. We have used the BioBrick system since it allows us to exchange the kanamycin resistance cassette in our template vectors with any other genetic cassette, thereby enabling us to alter the vector effortlessly for future synthetic biology applications. Our transformation protocol is based on previous studies on Synechocystis sp. PCC 6803, summarized by Eaton-Rye [20]. Since Stevens and Porter showed that transformation during the exponential growth phase leads to the highest transformation success [19], we used Synechococcus cultures with an OD730 of 0.4 for transformation [26]. The dsDNA constructs were inserted into the genomic DNA of Synechococcus by homologous recombination, and the resulting transformants were plated onto selective agar plates. Transformation efficiency was assessed with two different approaches: (i) Optical density at 730 nm after 7 days of growth and (ii) intensity of spotted Synechococcus cultures with a camera-based plate imaging system (manuscript in preparation) after 12 days of growth.

Assessment of transformation efficiency using a spectrophotometer

To assess the transformation efficiency without introducing plating efficiency as a factor, all colonies resulting from transformation and subsequent antibiotic selection were resuspended in AA+ medium and quantified by spectrophotometric OD730 measurements (Additional file 5: Figure S4). A sample was taken to continue strain generation in order to confirm the successful transformation by colony PCR after segregation (Additional file 6: Figure S5). The OD730 was normalized to the highest OD of the colony dilutions (Fig. 2). Our data indicates that we achieved successful transformations for all the three NIS even with homologous regions as short as 100 nt. However, the total number of successful chromosomal integrations differs. In addition, the data show that the lowest transformation success is observed for A0935. There is a correlation between the transformation efficiency and the length of the homologous regions for A2842. For A0159, transformation efficiency seems to be independent of the homologous region length. To confirm our findings and strengthen our hypothesis, we performed an additional, independent transformation experiment and utilized a camera-based plate imaging system to assess transformation efficiency.
Fig. 2

Results of the transformation efficiency assessment by optical density measurements at 730 nm. Synechococcus sp. PCC 7002 strains were transformed with a kanamycin resistance cassette containing either 100, 200, 400 or 800 nt homology with the targeted genetic site in the chromosome to induce homologous recombination. Three different approaches were used to target three sites: (1) Insertion in the non-coding region between SYNPCC7002_A0935 and SYNPCC7002_A0936 (noted as A0935), (2) gene disruption of the coding region of desB (noted as A0159) and (3) gene replacement of glpK (noted as A2842). The optical density at 730 nm (OD730) of the constructed mutants were measured after transformation and antibiotic selection and normalized to the highest measured OD730. Data points are the average of three separate experiments, and the error bars are indicative of the standard error

Assessment of transformation efficiency using a camera-based plate imaging system

To confirm different transformation efficiencies obtained by the spectrophotometric measurements, we repeated the transformation and used a plate imaging system to quantify transformation efficiencies. For this, we spotted batches of cells that have undergone the transformation procedure onto selective plates and assessed the increase of density of these spots during 12 days (Additional file 7: Figure S6). We used the data points of the last measurement to compare the transformation success for each of the constructs (Fig. 3). These data show that A0935 has the lowest transformation efficiency. Homologous regions of 800 nt result in the highest transformation success in A2842 but a correlation between transformation efficiency and length of homologous regions similar to the spectrophotometric measurements is not clearly visible. It seems that transformation success of A1059 has a slight dependence on the lengths of the homologous regions; however, this effect is not pronounced.
Fig. 3

Results of the transformation efficiency assessment by camera-based plate imaging. Synechococcus sp. PCC 7002 strains were transformed with a kanamycin resistance cassette containing either 100, 200, 400 or 800 nt homology with the targeted genetic site in the chromosome to induce homologous recombination. Three different approaches were used to target three sites: (1) Insertion in the non-coding region between SYNPCC7002_A0935 and SYNPCC7002_A0936 (noted as A0935), (2) gene disruption of the coding region of desB (noted as A0159) and (3) gene replacement of glpK (noted as A2842). The intensities of spotted transformant colonies on plates of the constructed mutants were measured after transformation and antibiotic selection and analyzed with a camera-based method. Data points are the average of three separate experiments, and the error bars are indicative of the standard error

Parameters influencing transformation efficiency

The results of both (spectrophotometric and camera-based) experiments show that for the three NISs, a high number of transformants could be achieved and modified strains could be successfully segregated. The strains generated were used for subsequent growth experiments. Both sets of experiments reveal a distinct difference in transformation efficiency depending on the location of the integration sites within the genome. The lengths of the homologous regions seem to influence the transformation efficiency in A2842 and to some extent in A0159, but has no detectable influence in A0935. Ruffing et al. also showed a correlation between the length of the homologous regions and transformation success for the NIS A0159 [17]. However, in Ruffing’s study, successful transformation could not be achieved with homologous regions shorter than 250 nt. In contrast, here we report successful transformation with homologous regions as short as 100 nt with a higher transformation efficiency (based on calculations with 6 h of incubation) for constructs targeting A0159 (Additional file 8: Figure S7). Previously, Davies et al. also used the location between the genes SYNPCC7002_A0935 and SYNPCC7002_A0936 for their study using 750 nt homologous regions. We can therefore conclude that A0935 can be utilized as a NIS, albeit at a lower transformation efficiency compared to A0159 or A2842. Thus, it is advisable to use A0159 or A2842 and to avoid using A0935 as a site for integration of non-native DNA in order to obtain a high number of transformants. The observed transformation efficiency is influenced by many factors including the rate of DNA uptake; degradation of DNA outside and inside of the cell; and the rate of successful integration of DNA into the host genome. It has previously been shown that the success of DNA integration into the genome of Synechococcus is decreasing with increasing lengths of integrated non-native DNA [36]. However, in our study, the length of non-native DNA is constant due to comparable homologous regions and the use of the same antibiotic cassette (Additional file 1: Figure S1, Additional file 2: Figure S2 and Additional file 3: Figure S3). The length of DNA fragments used for transformation can therefore be excluded as a factor for our results. Analysis of transcriptional data in Synechococcus [26] reveals that both SYNPCC7002_A0935 and SYNPCC7002_A0936 are only transcribed at low levels under standard conditions, just like neighboring genes, thereby excluding a negative effect of homologous recombination on essential (neighboring) genes. Instead, intracellular processes, such as nucleolytic processing and dependency of the recombination frequency based on genomic position [3639], are probably the main causes for the differences in efficiency of homologous recombination in our study. Additionally, a low transformation efficiency can be caused by factors impairing homologous recombination, such as secondary DNA structures making parts of the chromosome more accessible than other parts [40]. It is further possible that the intergenic region between SYNPCC7002_A0935 and SYNPCC7002_A0936 contains genetic structures and functions that are not yet annotated. Previous research on transformation in other cyanobacteria already revealed a correlation between genomic position and recombination frequency [39, 40].

Growth analysis

Comparative growth experiments under standard growth condition reveal that insertion of a kanamycin cassette at A2842, A0935 and A0159 results in a slightly but significantly lower growth rate compared to wildtype Synechococcus in liquid medium (Fig. 4a). This is probably due to a fitness cost caused by the expression of the kanamycin resistance gene [41]. However, this fitness cost is not clearly observable during growth on solid medium (Fig. 4b), which may be due to the quality of the data. Growing A0159, A0935 and A2842 on a kanamycin concentration of 50 μg/mL or 100 μg/mL did not reveal differences in growth. This result indicates that the kanamycin resistance cassette is not expressed at different levels within the different NISs. It should be noted however that our growth experiments were conducted under standard conditions as defined in the Method section. Growing the strains A0159, A0935 and A2842 under non-standard conditions may result in different growth behavior.
Fig. 4

Growth densities of Synechococcus sp. PCC 7002 wildtype and A0159, A0935 and A2842 strains. Growth density was calculated based on data obtained either by spectrophotometric measurements or by measuring spot intensities and related to the Synechococcus sp. PCC 7002 wildtype growth density. Statistical tests were performed with the unpaired t-test provided by Prism version 6 (GraphPad). Shown are the average of technical triplicates and error bars indicate the standard error. a Maximal growth density of A0159, A0935 and A2842 strains as a percentage of wildtype density in liquid medium. Mutated strains and wildtype Synechococcus sp. PCC 7002 were grown in liquid medium and OD730 measurements were performed every 24 h. Two-tailed P-values were 0.0018 (A2842), 0.0060 (A0935) and 0.0034 (A0159). b Maximal growth density A0159, A0935 and A2842 strains as a percentage of wildtype density on solid medium. Cultures of Synechococcus strains A0159, A0935 and A2842 were spot-plated and the relative change in intensity of the spots was assessed by a camera-based method. Wildtype Synechococcus sp. PCC 7002 was used as a control

Further optimization of the transformation

Since transformation of A0159 and A2842 with 100 nt homologous regions leads to a high number of transformants, it may be possible to use shorter flanking region for successful transformations, such as seen for Escherichia coli (36–50 nt) or Saccharomyces cerevisiae (35–51 nt) [42, 43]. Additionally, it would be valuable to investigate if the length of the insert of exogenous DNA has any effect on transformation efficiency. Previous studies indicate that an increase of 2–3 kb in exogenous DNA insert length decreases the overall transformation frequency by half [36]. For the identification of additional NISs in Synechococcus, a systematical approach as implemented by Pinto et al. for Synechocystis sp. PCC6803 is advisable [1].

The transformation protocol we developed during this study [27] has some improvement over previously reported protocols. The overall time required to obtain segregated mutants with our protocol is estimated to be at least 12–19 days (Additional file 4: Table S2) shorter compared to the previous transformation protocol reported for Synechococcus [21], assuming that segregation takes the same amount of time for both protocols. This almost 50% reduction is accomplished without the use of elevated CO2 concentrations that accelerate growth in the reference protocol. In contrast to Frigaard et al., we do not bubble the cultures with air or shake cultures during incubation with exogenous DNA. This allows DNA to interact with the cell surface, thus aiding pilin-facilitated DNA uptake. The most likely reason for the improvements in time and number of transformants is that we do not use top agar to expose the cells to antibiotic selection. The top agar may slow down growth of Synechococcus. Instead, we use sterile membranes to transfer cells to antibiotic-containing plates, a method adapted from Synechocystis sp. PCC6803 transformations [20]. Additionally, our transformation method uses linear DNA fragments for transformation instead of plasmids. Since these fragments can be either ordered from commercial parties or constructed with standard PCR, our protocol skips the time-consuming and costly step of constructing and ordering transformation plasmids.

Stevens and Porter showed that the incubation optimum on non-selective plates is reached after eight doubling times [19]. Since Synechococcus had a doubling time of about 7 h under our tested conditions, it is possible that the amount of successful transformants can be increased by longer incubation on non-selective plates. In addition, we know from previous experiments that the incubation times can be shortened, for example by immediately plating on selective plates or by lowering the initial OD730. However, this has a negative effect on the number of transformants (unpublished data).

Conclusions

In this study, we present an improved transformation protocol for Synechococcus sp. PCC 7002 and BioBrick-compatible modules that allow the integration of genetic constructs into the NISs A2842, A0159 and A0935 with homologous regions as short as 100 nt. The BioBrick-compatible modules can easily be modified to integrate different DNA fragments. Since homologous regions as short as 100 nt can be used to insert DNA into the NISs, other, non-cloning-based approaches are also feasible. The combination of long primers containing homologous regions with standard PCR of the insertion fragment provides an effective way to create linear dsDNA for transformation at low costs. Additionally, commercial parties offer the synthesis of dsDNA fragments at low costs and with short delivery times. This study contributes to developing Synechococcus as the prominent chassis for green synthetic biology and enabling high throughput genetic engineering techniques.

Declarations

Acknowledgment

This work was supported by funding from the Norwegian Research Council, grand number 240741. The authors thank Niels-Ulrik Frigaard for the friendly gift of the Synechococcus sp. PCC 7002 strain. We would like to thank Jacob J. Lamb for insightful conversations, and Pieter van Kuilenburg and Erland Årstøl for the contributions in the laboratory.

Funding

AIMV is funded by a fellowship from the Norwegian Research Council (Grant number 240741).

Availability of data and materials

The datasets used and/or analyzed during this study and complete protocols for transformation of Synechococcus sp. PCC 7002 are available at our Benchling Protocol- and Data collection [27]. Supplementary data can be found in the supplementary information files. The plasmids files generated during this study are available at our Benchling Plasmid Repository [29].

Authors’ contributions

RL and MFH-M developed the idea of this work. AIMV, MFH-M and RL designed the experiments. AIMV and RL performed the experiments. AIMV wrote the manuscript, together with MFH-M and RL. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

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Authors’ Affiliations

(1)
Department of Biotechnology, PhotoSynLab, NTNU, Norwegian University of Science and Technology

References

  1. 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;22:425–37.View ArticleGoogle Scholar
  2. Atsumi S, Higashide W, Liao JC. Direct photosynthetic recycling of carbon dioxide to isobutyraldehyde. Nat Biotechnol. 2009;27:1177–80.View ArticleGoogle Scholar
  3. Ducat DC, Avelar-Rivas JA, Way JC, Silver PA. Rerouting carbon flux to enhance photosynthetic productivity. Appl Environ Microbiol. 2012;78:2660–8.View ArticleGoogle Scholar
  4. Tsygankov AA, Borodin VB, Rao KK, Hall DO. H2 photoproduction by batch culture of Anabaena variabilis ATCC 29413 and its mutant PK84 in a photobioreactor. Biotechnol Bioeng. 1999;64:709–15.View ArticleGoogle Scholar
  5. Ungerer J, Tao L, Davis M, Ghirardi M, Maness P-C, Yu J. Sustained photosynthetic conversion of CO2 to ethylene in recombinant cyanobacterium Synechocystis 6803. Energy Environ Sci. 2012;5:8998.View ArticleGoogle Scholar
  6. Wolk OKC. Genetic tools for cyanobacteria. Appl Microbiol Biotechnol. 2002;58:123–37.View ArticleGoogle Scholar
  7. Liu X, Sheng J, Curtiss R. Fatty acid production in genetically modified cyanobacteria. Proc Natl Acad Sci U S A. 2011;108:6899–904.View ArticleGoogle Scholar
  8. Van Baalen C, Hoare DS, Brandt E. Heterotrophic growth of blue-green algae in dim light. J Bacteriol. 1971;105:685–9.Google Scholar
  9. Batterton JC, Baalen C. Growth responses of blue-green algae to sodium chloride concentration. Arch Mikrobiol. 1971;76:151–65.View ArticleGoogle Scholar
  10. Nomura CT, Sakamoto T, Bryant DA. Roles for heme-copper oxidases in extreme high-light and oxidative stress response in the cyanobacterium Synechococcus sp. PCC 7002. Arch Microbiol. 2006;185:471–9.View ArticleGoogle Scholar
  11. Ingram LO, Van Baalen C, Calder JA. Role of reduced exogenous organic compounds in the physiology of the blue-green bacteria (algae): photoheterotrophic growth of an “autotrophic” blue-green bacterium. J Bacteriol. 1973;114:701–5.Google Scholar
  12. Lambert DH, Stevens SE. Photoheterotrophic growth of Agmenellum quadruplicatum PR-6. J Bacteriol. 1986;165:654–6.View ArticleGoogle Scholar
  13. Sakamoto T, Bryant DA. Synergistic effect of high-light and low temperature on cell growth of the Delta12 fatty acid desaturase mutant in Synechococcus sp. PCC 7002. Photosynth Res. 2002;72:231–42.View ArticleGoogle Scholar
  14. Markley AL, Begemann MB, Clarke RE, Gordon GC, Pfleger BF. Synthetic biology toolbox for controlling gene expression in the cyanobacterium Synechococcus sp. strain PCC 7002. ACS Synth Biol. 2015;4:595–603.View ArticleGoogle Scholar
  15. Xu Y, Alvey RM, Byrne PO, Graham JE, Shen G, Bryant DA. Expression of genes in cyanobacteria: adaptation of endogenous plasmids as platforms for high-level gene expression in Synechococcus sp. PCC 7002. Methods Mol Biol. 2011;684:273–93.View ArticleGoogle Scholar
  16. Zess EK, Begemann MB, Pfleger BF. Construction of new synthetic biology tools for the control of gene expression in the cyanobacterium Synechococcus sp. strain PCC 7002. Biotechnol Bioeng. 2016;113:424–32.View ArticleGoogle Scholar
  17. Ruffing AM, Jensen TJ, Strickland LM. Genetic tools for advancement of Synechococcus sp. PCC 7002 as a cyanobacterial chassis. Microb Cell Fact. 2016;15:190.View ArticleGoogle Scholar
  18. Knight T. Idempotent vector design for standard assembly of biobricks. MIT artificial intelligence laboratory; MIT synthetic biology working group. 2003.Google Scholar
  19. Stevens SE, Porter RD. Transformation in Agmenellum quadruplicatum. Proc Natl Acad Sci U S A. 1980;77:6052–6.View ArticleGoogle Scholar
  20. Eaton-Rye JJ. Construction of gene interruptions and gene deletions in the cyanobacterium Synechocystis sp. strain PCC 6803. Methods Mol Biol. 2011;684:295–312.View ArticleGoogle Scholar
  21. Frigaard N-U, Sakuragi Y, Bryant DA. Gene inactivation in the cyanobacterium Synechococcus sp. PCC 7002 and the green sulfur bacterium Chlorobium tepidum using in vitro-made DNA constructs and natural transformation. Methods Mol Biol. 2004;274:325–40.Google Scholar
  22. Essich E, Stevens SE, Porter RD, Porter RD. Chromosomal transformation in the cyanobacterium Agmenellum quadruplicatum. J Bacteriol. 1990;172:1916–22.View ArticleGoogle Scholar
  23. Begemann MB, Zess EK, Walters EM, Schmitt EF, Markley AL, Pfleger BF. An organic acid based counter selection system for cyanobacteria. PLoS One. 2013;8:e76594.View ArticleGoogle Scholar
  24. Davies FK, Work VH, Beliaev AS, Posewitz MC. Engineering limonene and bisabolene production in wild type and a glycogen-deficient mutant of Synechococcus sp. PCC 7002. Front Bioeng Biotechnol. 2014;2:21.View ArticleGoogle Scholar
  25. Sakamoto T, Shen G, Higashi S, Murata N, Bryant DA. Alteration of low-temperature susceptibility of the cyanobacterium Synechococcus sp. PCC 7002 by genetic manipulation of membrane lipid unsaturation. Arch Microbiol. 1997;169:20–8.View ArticleGoogle Scholar
  26. Ludwig M, Bryant DA. Transcription profiling of the model cyanobacterium Synechococcus sp. strain PCC 7002 by next-gen (SOLiDTM) sequencing of cDNA. Front Microbiol. 2011;2:41.Google Scholar
  27. Benchling protocol and data repository. https://benchling.com/organizations/photosynlab/projects. Accessed 7 Mar 2017.
  28. BioBrick standard assembly protocols. http://parts.igem.org/Assembly:Standard_assembly. Accessed 20 Dec 2016.
  29. Benchling plasmid repository. https://benchling.com/photosynlab/f_/1FvpJkvu-publications/?sort=name. Accessed 7 Mar 2017.
  30. Kahm M, Hasenbrink G, Lichtenberg-Fraté H, Ludwig J, Kschischo M. grofit : fitting biological growth curves with R. J Stat Softw. 2010;33:1–21.View ArticleGoogle Scholar
  31. R Development Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2008. Available from: http://www.r-project.org.Google Scholar
  32. Peterson ES, McCue LA, Schrimpe-Rutledge AC, Jensen JL, Walker H, Kobold MA, et al. VESPA: software to facilitate genomic annotation of prokaryotic organisms through integration of proteomic and transcriptomic data. BMC Genomics. 2012;13:131.View ArticleGoogle Scholar
  33. Ludwig M, Chua TT, Chew CY, Bryant DA. Fur-type transcriptional repressors and metal homeostasis in the cyanobacterium Synechococcus sp. PCC 7002. Front Microbiol. 2015;6:1217.View ArticleGoogle Scholar
  34. Alvey RM, Biswas A, Schluchter WM, Bryant DA. Effects of modified phycobilin biosynthesis in the cyanobacterium Synechococcus sp. Strain PCC 7002. J Bacteriol. 2011;193:1663–71.View ArticleGoogle Scholar
  35. Ruffing AM. Improved free fatty acid production in cyanobacteria with Synechococcus sp. PCC 7002 as host. Front Bioeng Biotechnol. 2014;2:17.View ArticleGoogle Scholar
  36. Kolowsky KS, Williams JGK, Szalay AA. Length of foreign DNA in chimeric plasmids determines the efficiency of its integration into the chromosome of the cyanobacterium Synechococcus R2. Gene. 1984;27:289–99.View ArticleGoogle Scholar
  37. Lorenz MG, Wackernagel W. Bacterial gene transfer by natural genetic transformation in the environment. Microbiol Rev. 1994;58:563–602.Google Scholar
  38. Kufryk GI, Sachet M, Schmetterer G, Vermaas WFJ. Transformation of the cyanobacterium Synechocystis sp. PCC 6803 as a tool for genetic mapping: optimization of efficiency. FEMS Microbiol Lett. 2002;206:215.View ArticleGoogle Scholar
  39. Williams JGK. Construction of specific mutations in photosystem II photosynthetic reaction center by genetic engineering methods in Synechocystis 6803. Methods Enzymol. 1988;167:766–78.View ArticleGoogle Scholar
  40. Williams JGK, Szalay AA. Stable integration of foreign DNA into the chromosome of the cyanobacterium Synechococcus R2. Gene. 1983;24:37–51.View ArticleGoogle Scholar
  41. Andersson DI. The biological cost of mutational antibiotic resistance: any practical conclusions? Curr Opin Microbiol. 2006;9:461–5.View ArticleGoogle Scholar
  42. Datsenko KA, Wanner BL. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci U S A. 2000;97:6640–5.View ArticleGoogle Scholar
  43. Baudin A, Ozier-Kalogeropoulos O, Denouel A, Lacroute F, Cullin C. A simple and efficient method for direct gene deletion in Saccharomyces cerevisiae. Nucleic Acids Res. 1993;21:3329–30.View ArticleGoogle Scholar

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