- Open Access
Editing of the urease gene by CRISPR-Cas in the diatom Thalassiosira pseudonana
© The Author(s) 2016
- Received: 20 July 2016
- Accepted: 10 November 2016
- Published: 24 November 2016
CRISPR-Cas is a recent and powerful addition to the molecular toolbox which allows programmable genome editing. It has been used to modify genes in a wide variety of organisms, but only two alga to date. Here we present a methodology to edit the genome of Thalassiosira pseudonana, a model centric diatom with both ecological significance and high biotechnological potential, using CRISPR-Cas.
A single construct was assembled using Golden Gate cloning. Two sgRNAs were used to introduce a precise 37 nt deletion early in the coding region of the urease gene. A high percentage of bi-allelic mutations (≤61.5%) were observed in clones with the CRISPR-Cas construct. Growth of bi-allelic mutants in urea led to a significant reduction in growth rate and cell size compared to growth in nitrate.
CRISPR-Cas can precisely and efficiently edit the genome of T. pseudonana. The use of Golden Gate cloning to assemble CRISPR-Cas constructs gives additional flexibility to the CRISPR-Cas method and facilitates modifications to target alternative genes or species.
- Genome editing
- Golden Gate
- Thalassiosira pseudonana
Diatoms are ecologically important microalgae with high biotechnological potential. Since their appearance about 240 million years ago , they have spread and diversified to occupy a wide range of niches across both marine and freshwater habitats. Diatom genomes have been shaped by secondary endosymbiosis and horizontal gene transfer resulting in genes derived from heterotrophic hosts, autotrophic endosymbionts and bacteria [2, 3]. They play a key role in carbon cycling , the food chain, oil deposition and account for about 20% of the world’s annual primary production [5, 6]. However, they are perhaps best known for their intricate silica frustules which give diatoms a range of ecological advantages and play a key role for carbon sequestration and silica deposition.
Several aspects of diatom physiology including the silica frustule, lipid storage and photosynthesis are being applied to biotechnology. Areas of high interest include nanotechnology , drug delivery , biofuels , solar capture  and bioactive compounds .
Given the ecological importance of diatoms and their applications for biotechnology, it is pivotal that the necessary tools are available to study and manipulate them at a molecular level. This includes the ability to replace, tag, edit and impair genes. A recent addition to the genetic tool box, CRISPR-Cas, allows double strand breaks (DSBs) to be introduced at specific target sequences. This adapted mechanism, used by bacteria and archaea in nature as a defence system against viruses, facilitates knock-out by the introduction of mutations through repair by error prone non-homologous end joining (NHEJ) or homologous recombination (HR). This requires both a Cas9 to cut the DNA and a sgRNA to guide it to a specific sequence. Further information on the history and application of CRISPR-Cas can be found in several excellent reviews [12–14]. Zinc-finger nucleases (ZFNs), meganucleases and transcription activator-like effector nucleases (TALENs) have also been used to induce double strand breaks. TALENs and CRISPR-Cas both bring flexibility and specificity to gene editing, however CRISPR-Cas is also cheap, efficient and easily adapted to different sequences by simply changing the 20 nt guide sequence in the sgRNA.
So far, within the diverse group of algae, the diploid, pennate diatom Phaeodactylum tricornutum  and the haploid, green alga Chlamydomonas reinhardtii  have been subject to gene editing by CRISPR-Cas. NHEJ and HR have been used to repair DSBs following CRISPR-Cas or TALENs in P. tricornutum, introducing mutations into a nuclear coded chloroplast signal recognition particle , the urease gene  and several genes associated with lipid metabolism . Thalassiosira pseudonana is a logical choice for CRISPR-Cas development. It is a model centric diatom with a sequenced genome (first eukaryotic marine phytoplankton to be sequenced ) and well-established transformation systems [19, 20]. The genus has multiple biotechnology applications [8, 21, 22], and although gene silencing has been established, a method to easily and efficiently knock-out and edit genes and the entire genome would be highly advantageous. The genus Thalassiosira is among the top 10 genera of diatoms in the World’s Ocean in terms of ribotype (V9 of 18S) diversity and abundance  and the species T. pseudonana is a model for understanding the mechanisms behind silicification [24–26].
Golden Gate cloning can add further flexibility to CRISPR-Cas methods as demonstrated in higher plants . As a modular cloning system it allows different modules, including the sgRNA, to be easily interchanged or added . As a result, new constructs can be made quickly, cheaply and efficiently for new or multiple targets. This extends to any aspect of the construct, including promoters, Cas9 variants and their nuclear localisation signals (NLS). As a result, construct alterations such as replacing constitutive promoters for inducible ones, exchanging the wildtype Cas9 for a Cas9 nickase or changing the localisation signal to target other organelles can be easily carried out.
An increasing range of software tools are available for CRISPR-Cas, including programs that facilitate sgRNA target searches in a genetic locus of interest, estimate efficiencies of sgRNAs  and perform off-target predictions.
While off-target prediction tools tend to be species specific, there are tools that accept requests for a genome to be added to the list, or allow for a genome to be directly uploaded [30, 31]. The latter is particularly useful for less studied organisms, such as diatoms. The ability to combine several different aspects of sgRNA design can help to make an informed decision when choosing target sites for gene editing.
Our paper represents a proof of concept to demonstrate the feasibility of gene editing in the model diatom T. pseudonana using two sgRNAs to induce a precise deletion in the urease gene. Methods combine a flexible Golden Gate cloning approach with sgRNA design, which draws on several available online tools. This takes into account multiple factors, such as position within the gene in terms of both early protein disruption and presence in the coding region, DNA cutting efficiency and presence of restriction enzyme sites at the cut site. The latter, in combination with inducing a large deletion by targeting with two sgRNAs, allows easy screening of mutants through either the restriction enzyme site loss assay  or the PCR band-shift assay , respectively.
Strains and growth conditions
Thalassiosira pseudonana (CCMP 1335) was grown in 24 h light (100–140 µE) at 20 °C in half salinity Aquil synthetic seawater . For routine growth, a 1 mM nitrate concentration was used.
5′RACE U6 promoter
Oligonucleotides used in this study
GS U6 R
FCP prom F
FCP prom R
FCP term F
FCP term R
U6 prom F
U6 prom R
Urease sgRNA1 F
Urease sgRNA2 F
Urease sgRNA R
FCP prom SDM F
FCP prim SDM R
NAT SDM F
NAT SDM R
Cas9 screen F
Cas9 screen R
NAT screen F
NAT screen R
Urease screen F 1
Urease screen R
Fcp seq F
NAT seq F
Cas9 seq 1 F
Cas9 seq 2 F
Cas9 seq 3 F
Cas9 seq 4 F
YFP FcpT seq F
sg2 seq R
sg1 seq F
Plasmid construction using Golden Gate cloning
Golden Gate cloning was carried out according to Weber et al.  and Belhaj et al. . BsaI and BpiI sites were removed in a so-called “domestication” procedure using a Q5 site-directed mutagenesis (SDM) kit (NEB). For oligos used in SDM see Table 1 (Ref. Numbers 17–20). BsaI sites and specific 4 nt overhangs for Level 1 (L1) assembly were added through PCR primers (Table 1). Plasmid DNA was extracted using a Promega mini-prep kit.
Golden Gate reactions
Golden Gate reactions for L1 and Level 2 (L2) assembly were carried out using the method specified in Weber et al. . Forty fmol of each component was included in a 20 µl reaction with 10 units of BsaI or BpiI and 10 units of T4 DNA ligase in 1 × ligation buffer. The reaction was incubated at 37 °C for 5 h, 50 °C for 5 min and 80 °C for 10 min. Five µl of the reaction was transformed into 50 µl of NEB 5-alpha chemically competent E. coli.
Level 0 assembly
The endogenous FCP promoter and terminator were amplified with GoTaq flexi (Promega) from domesticated pTpFCP/NAT  and the U6 promoter from gDNA [extracted with an Easy-DNA gDNA purification kit (Thermo Fisher)]. Both promoters are associated with high expression levels. The U6 promoter was amplified from the position −470 to −1 (the end of the promoter), cutting off a BpiI site and removing the need for additional SDM. For oligos, see Table 1 (Ref. Numbers 6–7 and 10–13). Products were cloned into a pCR8/GW/TOPO vector (Thermo Fisher).
Domesticated human codon bias Cas9 from Streptococcus pyogenes with an N-terminal SV40 NLS and a C-terminal YFP tag was PCR-amplified using Phusion DNA polymerase (NEB) and L1 Cas9:YFP plasmid as a template. The PCR product was purified with a GFX PCR DNA and gel purification kit (GE Healthcare) and incubated for 20 min with Taq to add adenine overhangs before cloning directly into a pCR8/GW/TOPO vector. For oligos, see Table 1 (Ref. Numbers 8–9).
Level 1 assembly
The FCP:NAT cassette for nourseothricin resistance was PCR-amplified using Phusion polymerase and the domesticated pTpFCP/NAT as a template, purified and inserted into a L1 pICH47732 destination vector. FCP promoter, Cas9 and FCP terminator L0 modules were assembled into L1 pICH47742. For oligos, see Table 1 (Ref. Numbers 4–5).
The sgRNA scaffold was amplified from pICH86966_AtU6p_sgRNA_NbPDS  with sgRNA guide sequences integrated through the forward primers. Together with the L0 U6 promoter, sgRNA_Urease 1 and sgRNA_Urease 2 were assembled into L1 destination vectors pICH47751 and pICH47761, respectively. For oligos, see Table 1 (Ref. Numbers 14–16).
Level 2 assembly
sgRNA design for the urease gene knockout
Two sgRNAs were designed to cut 37 nt apart early in the coding region of the urease gene (JGI ID 30193) to induce a deletion and frame-shift. Several programmes, explained below, were used to collect data and make an informed decision on sgRNA choice. Excel was used to combine, process and compare data.
Selecting CRISPR-Cas targets and estimating on-target score
Twenty bp targets with an NGG PAM were identified and scored for on-target efficiency using the Broad Institute sgRNA design programme (www.broadinstitute.org/rnai/public/analysis-tools/sgrna-design), which utilises the Doench et al.  on-target scoring algorithm calculated from >1800 empirically tested sgRNAs.
Determining cut positions and cross referencing to restriction recognition sites
All restriction sites and their positions within the urease gene were identified using the Emboss restriction tool (http://emboss.bioinformatics.nl/). As the Broad Institute sgRNA design programme does not give the location of CRISPR-Cas targets within a gene, this was determined using Primer map (http://www.bioinformatics.org/sms2/primer_map.html ). The cut site position (3 nt upstream of the start of the PAM sequence) was calculated for each sgRNA depending on sense or anti-sense strand placement. All predicted CRISPR-Cas cut sites were cross-referenced to restriction recognition sites.
Reverse complement of antisense strand CRISPR-Cas targets
The reverse complement (RC) was found for each CRISPR-Cas target using the programme: http://www.bioinformatics.org/sms2/rev_comp.html . In the final spreadsheet (Additional file 1: Figure S1), if a target was located on the anti-sense strand, the RC was shown for the ‘sense strand sequence’ column. This allows the sgRNA to be easily searched within the original gene sequence.
Determine position of CRISPR-Cas cut sites in relation to coding region
An array was made with start and end positions for each exon/intron. Cut site positions were compared to exon/intron ranges and the relevant exon/intron returned if the data overlapped.
The final spreadsheet gives data on CRISPR-Cas target sequences and their sense sequence (if located on the antisense strand), location of target (relative to the sense strand), predicted CRISPR-Cas cut site, first nucleotide of the target, PAM sequence, location (i.e. exon, intron), strand, sgRNA score and restriction recognition sites overlapping the cut site. The table (Additional file 1: Figure S1) was sorted to prioritise sgRNAs by starting base prioritising guanine, sgRNA score, position within the gene and interaction with restriction recognition sites.
The full 20 nt target sequences and their 3′ 12 nt seed sequences were subjected to a nucleotide BLAST search against the T. pseudonana genome. Resulting homologous sequences were checked for presence of an adjacent NGG PAM sequence at the 3′ end. The 8 nt sequence outside of the seed sequence was manually checked for complementarity to the target sequence. In order for a site to be considered a potential off-target the seed sequence had to match, a PAM had to be present at the 3′ end of the sequence and a maximum of three mismatches between the target and sequences from the blast search were allowed outside of the seed sequence.
Off-targets were also checked using the EuPaGDT program , which checks for up to 5 mismatches in the 20 nt target sequence and the CasOT program , which uses flexible parameters for identifying off-target sequences. Parameters were set to check for an NGG PAM, complete complementarity within the 12 nt seed sequence and up to 3 mismatches outside of the seed region.
Transformation and selection
Using the Poulsen et al.  method, transformations were carried out in triplicate with the CRISPR-Cas construct, pTpfcp/NAT (positive control) and water (negative control). 5 × 107 cells in exponential phase were used per shot with a rupture disc of 1350 psi and a 7 cm flight distance. Following transformation, cells were rinsed into 25 ml of media and left to recover for 24 h under standard growth conditions. Cells were counted using a Coulter counter (Beckman) and 2.5 × 107 cells from each transformation were spread onto 5, ½ salinity Aquil 0.8% agar plates (5 × 106 cells/plate) with 100 µg ml−1 nourseothricin. Plates were incubated under standard conditions for two weeks. The remaining sample was diluted to 1 × 106 cell ml−1 in media and supplemented with nourseothricin to a final concentration of 100 µg ml−1 for liquid selection. Liquid selection cultures were maintained under standard growth conditions with 100 µg ml−1 nourseothricin. Colonies were picked and transferred to 20 µl of media. Ten µl from each colony was transferred to 1 ml of selective media for further growth. The remaining sample was used in screening.
To isolate sub-clones from colonies which screened positive for mutations, 100 µl of cells at exponential phase were streaked onto ½ salinity Aquil 0.8% agar plates with 100 µg ml−1 nourseothricin.
Screening clones and cultures
Ten µl from each colony or culture from liquid selection, was spun down and supernatant removed. Cells were re-suspended in 20 µl of lysis buffer (10% Triton X-100, 20 mM Tris–HCl pH 8, 10 mM EDTA), kept on ice for 15 min then incubated at 95 °C for 10 min. One µl of lysate was used in Taq PCR to amplify the CRISPR-Cas targeted fragment of the urease gene. Clones were also screened for Cas9 and NAT by PCR. For PCR primers, see Table 1 (Ref. Numbers 21–26). PCR products were run on an agarose gel to check for the lower MW band associated with a double-cut deletion in the urease gene and for the presence of Cas9 and NAT. Urease PCR products were also digested with BccI and HpaII to determine if the restriction recognition sites, which overlap the cut sites, had been mutated. Urease PCR products from all screened primary clones were sent for sequencing to look for mutations. PCR products from a selection of sub-clones derived from three primary clones were sent for sequencing to confirm mutations.
Knockout and wild-type (WT) cultures were nitrate depleted by growing cells in nitrate free media until cell division stopped and Fv/Fm (quantum yield of photosynthesis, used as a proxy for cell stress) measured on the Phyto-PAM-ED dropped below 0.2. Cultures were then transferred in triplicate at a final concentration of 2.5 × 104 cells ml−1 into 25 ml of media with either 1 mM sodium nitrate or 0.5 mM urea. A media control was also carried out with WT cultures by transferring cells to fresh nitrate free media to check for any residual nitrate or nitrogen compounds that could lead to cell growth. Cell count and mean cell size were measured once a day using a Coulter counter. Fv/Fm measurements were also taken daily. Growth rates were calculated using µ = Ln2 − Ln1/T2 − T1, where T is a time point corresponding to exponential growth and Ln is the natural log of cell counts ml−1. Analysis of variance with Tukey’s pairwise comparision was used to compare both growth rates and cell size at the end of exponential phase between samples.
Constructing the CRISPR-Cas plasmid using the Golden Gate cloning method
A single CRISPR-Cas construct was made using Golden Gate cloning (Fig. 1). The construct included the NAT selectable marker gene for nourseothricin resistance, Cas9:YFP driven by an endogenous FCP promoter for high expression and two U6 promoter-driven sgRNAs. RNA polymerase III U6 promoters are a popular choice for expression of sgRNAs in CRISPR-Cas [15, 27, 37–39]. RACE products showed that the U6 promoter ended 23 nt after the TATA box. As a standardised, efficient, modular system, Golden Gate cloning gives a high level of flexibility to the CRISPR-Cas method and bypasses the need for co-transformation as it enables assembly of multiple expression units, such as Cas9 and sgRNAs, into a single vector backbone. Multiple sgRNA modules can be incorporated into the construct to target several genes or whole pathways. In human cells, up to 7 sgRNAs have been successfully assembled and expressed from a single construct created using the Golden Gate cloning method . Golden Gate has also proved successful for building constructs for genome editing in higher plants using both TALENs  and CRISPR-Cas [33, 37].
In this study, only the promoters and target sequences are specific to T. pseudonana, which demonstrates how simple it can be to apply this method to a new species using the Golden Gate system. The S. pyrogenes Cas9 with a human codon bias, shown previously to work in higher plants [32, 33, 37], carries a SV40 NLS, which follows a canonical sequence found throughout eukaryotes, including T. pseudonana.
The long term effects from off-target mutations introduced through CRISPR-Cas are currently unknown, therefore it may be advantageous for future work to remove CRISPR-Cas constructs from mutants. Adding a yeast CEN6-ARSH4-HIS3 sequence to plasmids allows autonomous replication in diatoms and expression of genes without random integration into the genome . Furthermore, removing selection leads to plasmids being discarded. By expressing CRISPR-Cas genes and selective markers on a removable episome, mutations could be introduced without integration of the plasmid. CRISPR-Cas constructs could then be expelled by removing selection. As well as considerations for long term off-target effects, this could also be advantageous for studies and applications which are sensitive to the presence of transgenes.
Selecting and screening for mutations in the urease gene
The transformation efficiency with the CRISPR-Cas construct was on average 41.5 colonies µg−1 plasmid (13.35–66.65 colonies µg−1 plasmid). Thirty-three colonies were screened by PCR and sequencing of the targeted urease gene fragment.
Four colonies showed mutations in the urease gene. All colonies screened positive for NAT but only the four colonies with mutations screened positive for Cas9, suggesting that once the Cas9 and sgRNAs are present there is a high chance of inducing mutations in the target gene. The lack of Cas9, which accounts for a third of the construct, in the majority of colonies was potentially caused by shearing of the plasmid during microparticle bombardment  from either mechanical force or chemical breakdown .
Of the four primary colonies which screened positive for mutations (Fig. 2), one (M4) showed a single band with a 37 nt deletion between the two sgRNA cut sites which suggests that both copies of the urease gene contain the deletion giving a bi-allelic mutant. Two colonies (M2 and M3) produced two bands following PCR: a WT higher MW band and a lower MW band with the 37 nt deletion, confirmed by sequencing (Fig. 2). The fourth colony (M1) showed a single band associated with the WT urease, however sequencing showed two products: a WT urease and a mutant urease with a 4 nt deletion at the first sgRNA cut site. A mixture of PCR products may be due to a mono-allelic mutation, in which one allele is WT and the other displays a mutation. It can also be due to colony mosaicism where a colony contains a mixture of cells with WT and mutant alleles due to mutations occurring after transformed cells have started to divide. Both mono-allelic mutants and mosaic colonies have been observed in P. tricornutum [15, 18].
To determine if the colonies were mosaic or mono-allelic, cells from mutant clones producing mixed PCR products were spread onto selective plates to isolate single sub-clones. Thirty-four sub-clones from each clone were screened by PCR (a few examples are presented in Fig. 2). Two clones (M2 and M3) were mosaic with a mixture of sub-clones showing either a single band corresponding to the expected deletion (61.5 and 25%, respectively), two bands associated with the WT and expected deletion (25.5 and 28.1%, respectively) or a single band corresponding to the WT urease fragment (13 and 46.9% respectively). For each of the two clones PCR amplicons from three putative bi-allelic sub-clones were sequenced (Fig. 2). Four out of six (M2_9, M2_10, M3_10 and M3_11) showed the expected 37 nt ‘clean’ deletion without any additional mutations. Precise deletions, such as this, using 2 sgRNAs have previously been generated with high efficiency [37, 42], and allow a large degree of control over the mutation. Two of the sub-clones (M3_9 and M2_12) showed one allele with the expected 37 nt deletion and the other with an additional deletion at the 2nd sgRNA cut site. In addition, M2_12 showed a C → G SNP within the sgRNA1 target site. As sequencing of primary clones M2 and M3 showed the expected deletion without additional indels, this suggests that this was the more dominant product following PCR. As well as isolating bi-allelic mono-clonal cultures, sub-cloning can reveal less common mutations produced by CRISPR-Cas. Sub-clones derived from the M1 clone showed WT and 4 nt deletion PCR amplicons as seen in the original clone, suggesting that this clone may have a mono-allelic mutation.
Using CRISPR-Cas with one sgRNA can introduce a variety of indels into a locus of interest via the error-prone NHEJ DNA repair mechanism . Cas9 preferentially cuts DNA three nucleotides upstream of the PAM sequence in the seed region  and the NHEJ mechanism either repairs a double strand break perfectly or indels are introduced. If cut sites are not cleaved at the same time, when using two sgRNAs, mutations at each site rather than removal of the fragment in between target sites may occur . In this study, however, we report a high occurrence of bi-allelic mutants with precise deletions between the CRISPR-Cas cut sites, suggesting that the Cas9/sgRNA complex is cutting efficiently and DNA ends tend to be repaired perfectly. This allows control over the introduced mutations and gives the chance to avoid introducing in-frame indels.
Restriction digest (results not shown) and sequencing (Fig. 2) demonstrated loss off the BccI site in all knock-out clones and HpaII in M2_12 and M1 as a deletion downstream of the cut site is required to remove the HpaII site. This demonstrates that restriction screening can be a valuable tool, however is this case screening for a deletion based band shift by PCR was an efficient way of identifying bi-allelic mutants especially given the limited sgRNA/restriction site interactions available for this gene.
As well as clones from plate selection, one culture from liquid selection (LM1; population of cells transferred to liquid selective media after transformation), showed a single band associated with the bi-allelic 37 nt deletion following PCR. This was confirmed by sequencing (Fig. 2). PCR screening following growth of LM1 in urea showed only the lower MW band product (results not shown), giving further evidence for a bi-allelic mutation from a population of cells. As small volumes of cells are transferred to fresh media when passaging this may have isolated bi-allelic mutants.
Growth experiments with mutants
Urease catalyses the breakdown of urea to ammonia allowing it to be used as a source of nitrogen . Sub-clones from different cell-lines with 37 or 38 nt deletions were tested for knock-out of the urease gene by looking for a lack of growth when supplemented with urea as the sole nitrogen source.
Cells were nitrogen starved and then transferred to media with either nitrate or urea. Cell counts and cells size were measured daily for 7 days. Negative controls to account for any background nitrate in the media were also run in which no nitrate or urea was added for WT cultures.
Knock-out of the urease gene in the diatom P. tricornutum prevents growth in urea . Urease mutants in this study still grew in urea but with a lower growth rate and reduced cell-size, characteristics which are associated with nitrogen limitation in diatoms [45, 46] rather than nitrogen starvation. Mutant cell-lines in urea grew to the same density as the same cell-lines in nitrate, but at a lower rate (Fig. 3). As nitrogen is an essential nutrient for growth, this suggests that mutant cells in urea still have access to nitrogen, but lower growth rates and cell-size indicates that nitrogen may not be as readily available compared to cells grown with nitrate. Controls in nitrogen free media showed very little growth which suggests that growth of mutants in urea was not due to background nitrate in the culture media. It is unlikely that random integration of the CRISPR-Cas plasmid is responsible for reduced growth rate in mutants as all four individual mutant cell-lines display increased growth rates when grown in nitrate. Therefore it seems likely that impaired growth of urease mutants in urea is due to a reduction in function of the urease gene.
There are a few possible reasons why a mutation in the urease gene appears to lead to nitrogen limitation rather than nitrogen starvation as seen in P. tricornutum. Cells may be able to access nitrogen from another source, separate to the breakdown of urea via urease. Some algae have an alternative pathway for breakdown of urea but this has only been found in Chlorophyceae  and blast searches show no evidence of urea carboxylase or allophanate hydroxylase, the enzymes involved in this pathway, in T. pseudonana.
The urease gene may still be active but with lower functionality. In T. pseudonana urease is modelled to be 807 amino acids. Urease consists of multimers of three sub-units: gamma, beta and alpha, which in TP are translated as one protein. The alpha sub-unit contains the active site which catalyses the breakdown of urea to ammonia . The gamma subunit has no known enzymatic function  but may play a role in quaternary structure and stability [44, 49].
The 5′ end of the urease coding region was targeted to induce a frame shift and disrupt the protein early on, however it may be better to target the active site or entirely remove the gene. Precise deletions larger than a gene using CRISPR-Cas and two sgRNAs have been previously demonstrated .
The main aim of this research was to edit the genome of T. pseudonana using CRISPR-Cas. We have demonstrated that this can be achieved with both precision and efficiency. Twelve percent of initial colonies and 100% which screened positive for Cas9 showed evidence of a mutation in the urease gene, with many sub-clones showing precise bi-allelic 37 nt deletions from two sgRNA DSBs. Screening for the deletion by PCR allowed efficient identification of bi-allelic mutants and Golden Gate cloning allowed easy assembly of a plasmid for CRISPR-Cas. This included adapting the system for T. pseudonana by including endogenous promoters and two specific sgRNAs. Due to the flexible modular nature of the cloning system, this can be easily adapted for other genes in T. pseudonana. A variety of available online tools were used to design two sgRNAs that would target the early coding region of the urease gene. There is a significant difference between the phenotype of the knock-out cell lines in urea compared to nitrate. Knock-out of the urease gene is expected to have a negative impact on nitrogen acquisition from urea. This appears to be the case, however, as growth rate and cell-size was reduced rather than growth being prevented, this suggests that function of the urease may have been impaired rather than removed or an alternative source of nitrogen was available.
The CRISPR-Cas method has significant potential for future work from both an ecological and biotechnology perspective in T. pseudonana and can potentially be easily adapted for many other algal species.
AH and TM conceived the project. AH designed and conducted the laboratory and bioinformatics work. AH wrote the paper with contributions from VN, TM and SK. All authors read and approved the final manuscript.
Thanks to The Sainsbury Laboratory for supplying the Golden Gate destination vectors and linkers. We are thankful to Lewis Dunham for his contributions to the 5′ RACE for identifying the U6 promoter.
The authors declare that they have no competing interests.
Availability of data and materials
Please contact the first or corresponding author for constructs developed in this study.
Consent for publication
All authors have given consent for the manuscript entitled ‘Editing of the urease gene by CRISPR-Cas in the diatom Thalassiosira pseudonana’ to be published.
This work has been funded by a PhD studentship from the Natural Environment Research Council (NERC) awarded to Amanda Hopes. TM acknowledges partial funding from NERC (NE/K004530/1) and the School of Environmental Sciences at University of East Anglia, Norwich.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Kooistra WHCF, Medlin LK. Evolution of the diatoms (Bacillariophyta). Mol Phylogenet Evol. 1996;6:391–407.View ArticlePubMedGoogle Scholar
- Armbrust EV, Berges JA, Bowler C, Green BR, Martinez D, Putnam NH, Zhou S, Allen AE, Apt KE, Bechner M, Brzezinski B, Chaal BK, Chiovitti A, Davis AK, Demarest MS, Detter JC, Glavina T, Goodstein D, Hadi MZ, Hellsten U, Hildebrand M, Jenkins BD, Jurka J, Kapitonov VV, Kröger N, Lau WW, Lane TW, Larimer FW, Lippmeier JC, Lucas S, Medina M, Montsant A, Obornik M, Parker MS, Palenik B, Pazour GJ, Richardson PM, Rynearson TA, Saito MA, Schwartz DC, Thamatrakolm K, Valentin K, Vardi A, Wilkerson FP, Roksar DS. The genome of the diatom Thalassiosira pseudonana: ecology, evolution and metabolism. Science. 2004;306:79–86.View ArticlePubMedGoogle Scholar
- Bowler C, Allen AE, Badger JH, Grimwood J, Jabbari K, Kuo A, Maheswari U, Martens C, Maumus F, Otillar RP, Rayko E, Salamov A, Vandepoele K, Beszteri B, Gruber A, Heijde M, Katinka M, Mock T, Valentin K, Verret F, Berges JA, Brownlee C, Cadoret J-P, Chiovitti A, Choi CJ, Coesel S, De Martino A, Detter JC, Durkin C, Falciatore A, et al. The Phaeodactylum genome reveals the evolutionary history of diatom genomes. Nature. 2008;456:239–44.View ArticlePubMedGoogle Scholar
- Smetacek V. Diatoms and the ocean carbon cycle. Protist News. 1999;150:25–32.View ArticleGoogle Scholar
- Field CB. Primary production of the biosphere: integrating terrestrial and oceanic components. Science. 1998;281:237–40.View ArticlePubMedGoogle Scholar
- Falkowski PG, Raven JA. Aquatic photosynthesis. 2nd ed. Princeton: Princeton University Press; 2007.Google Scholar
- Dolatabadi JEN, de la Guardia M. Applications of diatoms and silica nanotechnology in biosensing, drug and gene delivery, and formation of complex metal nanostructures. TrAC Trends Anal Chem. 2011;30:1538–48.View ArticleGoogle Scholar
- Delalat B, Sheppard VC, Rasi Ghaemi S, Rao S, Prestidge CA, McPhee G, Rogers M-L, Donoghue JF, Pillay V, Johns TG, Kröger N, Voelcker NH. Targeted drug delivery using genetically engineered diatom biosilica. Nat Commun. 2015;6:8791.View ArticlePubMedGoogle Scholar
- d’Ippolito G, Sardo A, Paris D, Vella FM, Adelfi MG, Botte P, Gallo C, Fontana A. Potential of lipid metabolism in marine diatoms for biofuel production. Biotechnol Biofuels. 2015;8:28.View ArticlePubMedPubMed CentralGoogle Scholar
- Jeffryes C, Campbell J, Li H, Jiao J, Rorrer G. The potential of diatom nanobiotechnology for applications in solar cells, batteries, and electroluminescent devices. Energy Environ Sci. 2011;4:3930.View ArticleGoogle Scholar
- Kuczynska P, Jemiola-Rzeminska M, Strzalka K. Photosynthetic pigments in diatoms. Mar Drugs. 2015;13:5847–81.View ArticlePubMedPubMed CentralGoogle Scholar
- Lander ES. The heroes of CRISPR. Cell. 2016;164:18–28.View ArticlePubMedGoogle Scholar
- Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol. 2014;32:347–55.View ArticlePubMedPubMed CentralGoogle Scholar
- Doudna JA, Charpentier E. The new frontier of genome engineering with CRISPR-Cas9. Science. 2014;346:1258096.View ArticlePubMedGoogle Scholar
- Nymark M, Sharma AK, Sparstad T, Bones AM, Winge P. A CRISPR/Cas9 system adapted for gene editing in marine algae. Sci Rep. 2016;6:24951.View ArticlePubMedPubMed CentralGoogle Scholar
- Shin S-E, Lim J-M, Koh HG, Kim EK, Kang NK, Jeon S, Kwon S, Shin W-S, Lee B, Hwangbo K, Kim J, Ye SH, Yun J-Y, Seo H, Oh H-M, Kim K-J, Kim J-S, Jeong W-J, Chang YK, Jeong B. CRISPR/Cas9-induced knockout and knock-in mutations in Chlamydomonas reinhardtii. Sci Rep. 2016;6:27810.View ArticlePubMedPubMed CentralGoogle Scholar
- Weyman PD, Beeri K, Lefebvre SC, Rivera J, Mccarthy JK, Heuberger AL, Peers G, Allen AE, Dupont CL. Inactivation of Phaeodactylum tricornutum urease gene using transcription activator-like effector nuclease-based targeted mutagenesis. Plant Biotechnol J. 2015;13:460–70.View ArticlePubMedGoogle Scholar
- Daboussi F, Leduc S, Maréchal A, Dubois G, Guyot V, Perez-Michaut C, Amato A, Falciatore A, Juillerat A, Beurdeley M, Voytas DF, Cavarec L, Duchateau P. Genome engineering empowers the diatom Phaeodactylum tricornutum for biotechnology. Nat Commun. 2014;5(May):3831.PubMedGoogle Scholar
- Poulsen N, Chesley PM, Kröger N. Molecular genetic manipulation of the diatom Thalassiosira pseudonana (Bacillariophyceae). J Phycol. 2006;42:1059–65.View ArticleGoogle Scholar
- Karas BJ, Diner RE, Lefebvre SC, McQuaid J, Phillips APR, Noddings CM, Brunson JK, Valas RE, Deerinck TJ, Jablanovic J, Gillard JTF, Beeri K, Ellisman MH, Glass JI, Hutchison C III, Smith HO, Venter JC, Allen AE, Dupont CL, Weyman PD. Designer diatom episomes delivered by bacterial conjugation. Nat Commun. 2015;6:6925.View ArticlePubMedPubMed CentralGoogle Scholar
- Cook O, Hildebrand M. Enhancing LC-PUFA production in Thalassiosira pseudonana by overexpressing the endogenous fatty acid elongase genes. J Appl Phycol. 2015;28:897–905.View ArticleGoogle Scholar
- Doan TTY, Sivaloganathan B, Obbard JP. Screening of marine microalgae for biodiesel feedstock. Biomass Bioenergy. 2011;35:2534–44.View ArticleGoogle Scholar
- Malviya S, Scalco E, Audic S, Vincent F, Veluchamy A, Bittner L, Poulain J, Wincker P, Iudicone D, de Vargas C, Zingone A, Bowler C. Insights into global diatom distribution and diversity in the world’s ocean. Proc Natl Acad Sci. 2015;348:201509523.Google Scholar
- Shrestha RP, Hildebrand M. Evidence for a regulatory role of diatom silicon transporters in cellular silicon responses. Eukaryot Cell. 2015;14:29.View ArticlePubMedGoogle Scholar
- Scheffel A, Poulsen N, Shian S, Kröger N. Nanopatterned protein microrings from a diatom that direct silica morphogenesis. Proc Natl Acad Sci USA. 2011;108:3175–80.View ArticlePubMedPubMed CentralGoogle Scholar
- Poulsen N, Scheffel A, Sheppard VC, Chesley PM, Krog̈er N. Pentalysine clusters mediate silica targeting of silaffins in Thalassiosira pseudonana. J Biol Chem. 2013;288:20100–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Xing H-L, Dong L, Wang Z-P, Zhang H-Y, Han C-Y, Liu B, Wang X-C, Chen Q-J. A CRISPR/Cas9 toolkit for multiplex genome editing in plants. BMC Plant Biol. 2014;14:327.View ArticlePubMedPubMed CentralGoogle Scholar
- Weber E, Engler C, Gruetzner R, Werner S, Marillonnet S. A modular cloning system for standardized assembly of multigene constructs. PLoS ONE. 2011;6:e16765.View ArticlePubMedPubMed CentralGoogle Scholar
- Doench JG, Hartenian E, Graham DB, Tothova Z, Hegde M, Smith I, Sullender M, Ebert BL, Xavier RJ, Root DE. Rational design of highly active sgRNAs for CRISPR-Cas9-mediated gene inactivation. Nat Biotechnol. 2014;32:1262–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Xiao A, Cheng Z, Kong L, Zhu Z, Lin S, Gao G, Zhang B. CasOT: a genome-wide Cas9/gRNA off-target searching tool. Bioinformatics. 2014;30:1180–2.View ArticlePubMedGoogle Scholar
- Tarleton R, Peng D. EuPaGDT: a web tool tailored to design CRISPR guide RNAs for eukaryotic pathogens. Microb Genom. 2015;1:1–7.Google Scholar
- Nekrasov V, Staskawicz B, Weigel D, Jones JDG, Kamoun S. Targeted mutagenesis in the model plant Nicotiana benthamiana using Cas9 RNA-guided endonuclease. Nat Biotechnol. 2013;31:691–3.View ArticlePubMedGoogle Scholar
- Belhaj K, Chaparro-Garcia A, Kamoun S, Nekrasov V. Plant genome editing made easy: targeted mutagenesis in model and crop plants using the CRISPR/Cas system. Plant Methods. 2013;9:39.View ArticlePubMedPubMed CentralGoogle Scholar
- Price NM, Harrison GI, Hering JG, Hudson RJ, Nirel PM, Palenik B, Morel FM. Preparation and chemistry of the artificial algal culture medium Aquil. Biol Oceanogr. 1989;6:443–61.Google Scholar
- Pinto FL, Lindblad P. A guide for in-house design of template-switch-based 5′ rapid amplification of cDNA ends systems. Anal Biochem. 2010;397:227–32.View ArticlePubMedGoogle Scholar
- Brooks C, Nekrasov V, Lippman ZB, Van Eck J. Efficient gene editing in tomato in the first generation using the clustered regularly interspaced short palindromic repeats/CRISPR-associated9 system. Plant Physiol. 2014;166:1292–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Jacobs TB, LaFayette PR, Schmitz RJ, Parrott W. Targeted genome modifications in soybean with CRISPR/Cas9. BMC Biotechnol. 2015;15:16.View ArticlePubMedPubMed CentralGoogle Scholar
- Sakuma T, Nishikawa A, Kume S, Chayama K, Yamamoto T. Multiplex genome engineering in human cells using all-in-one CRISPR/Cas9 vector system. Sci Rep. 2014;4:5400.View ArticlePubMedPubMed CentralGoogle Scholar
- Weber E, Gruetzner R, Werner S, Engler C, Marillonnet S. Assembly of designer TAL effectors by golden gate cloning. PLoS ONE. 2011;6:e19722.View ArticlePubMedPubMed CentralGoogle Scholar
- Krysiak C, Mazus B, Buchowicz J. Relaxation, linearization and fragmentation of supercoiled circular DNA by tungsten microprojectiles. Transgenic Res. 1999;8:303–6.View ArticlePubMedGoogle Scholar
- Zheng Q, Cai X, Tan MH, Schaffert S, Arnold CP, Gong X, Chen CZ, Huang S. Precise gene deletion and replacement using the CRISPR/Cas9 system in human cells. Biotechniques. 2014;57:115–24.View ArticlePubMedGoogle Scholar
- Jinek M, Chylinski K, Fonfara I, Hauer M, Doudna JA, Charpentier E. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science. 2012;337:816–21.View ArticlePubMedGoogle Scholar
- Gupta S, Kathait A, Sharma V. Computational sequence analysis and structure prediction of jack bean urease. Int J. 2015;3:185–91.Google Scholar
- Olson RJ, Vaulot D, Chisholm SW. Effects of environmental stresses on the cell cycle of 2 marine phytoplankton species. Plant Physiol. 1986;80:918–25.View ArticlePubMedPubMed CentralGoogle Scholar
- Li W, Gao K, Beardall J. Interactive effects of ocean acidification and nitrogen-limitation on the diatom Phaeodactylum tricornutum. PLoS ONE. 2012;7:e51590.View ArticlePubMedPubMed CentralGoogle Scholar
- Fan C, Glibert PM, Alexander J, Lomas MW. Characterization of urease activity in three marine phytoplankton species, Aureococcus anophagefferens, Prorocentrum minimum, and Thalassiosira weissflogii. Mar Biol. 2003;142:949–58.View ArticleGoogle Scholar
- Habel JE, Bursey EH, Rho BS, Kim CY, Segelke BW, Rupp B, Park MS, Terwilliger TC, Hung LW. Structure of Rv1848 (UreA), the Mycobacterium tuberculosis urease γ subunit. Acta Crystallogr, Sect F: Struct Biol Cryst Commun. 2010;66:781–6.View ArticleGoogle Scholar
- Jabri E, Andrew Karplus P. Structures of the Klebsiella aerogenes urease apoenzyme and two active-site mutants. Biochemistry. 1996;35:10616–26.View ArticlePubMedGoogle Scholar
- Hellen CUT, Sarnow P. Internal ribosome entry sites in eukaryotic mRNA molecules. Genes Dev. 2001;15:1593–612.View ArticlePubMedGoogle Scholar