Our ability to genetically manipulate living organisms is usually constrained by the efficiency of the genetic tools available for the system of interest. In this report, we present the design, construction and characterization of a set of four new modular vectors, the pHsal series, for engineering Halobacterium salinarum, a model halophilic archaeon widely used in systems biology studies. The pHsal shuttle vectors are organized in four modules: (i) the E. coli’s specific part, containing a ColE1 origin of replication and an ampicillin resistance marker, (ii) the resistance marker and (iii) the replication origin, which are specific to H. salinarum and (iv) the cargo, which will carry a sequence of interest cloned in a multiple cloning site, flanked by universal M13 primers. Each module was constructed using only minimal functional elements that were sequence edited to eliminate redundant restriction sites useful for cloning. This optimization process allowed the construction of vectors with reduced sizes compared to currently available platforms and expanded multiple cloning sites. Additionally, the strong constitutive promoter of the fer2 gene was sequence optimized and incorporated into the platform to allow high-level expression of heterologous genes in H. salinarum. The system also includes a new minimal suicide vector for the generation of knockouts and/or the incorporation of chromosomal tags, as well as a vector for promoter probing using a GFP gene as reporter. This new set of optimized vectors should strongly facilitate the engineering of H. salinarum and similar strategies could be implemented for other archaea.
Citation: Silva-Rocha R, Pontelli MC, Furtado GP, Zaramela LS, Koide T (2015) Development of New Modular Genetic Tools for Engineering the Halophilic Archaeon Halobacterium salinarum. PLoS ONE 10(6): e0129215. https://doi.org/10.1371/journal.pone.0129215
Academic Editor: Peter Hohenstein, The Roslin Institute, UNITED KINGDOM
Received: February 25, 2015; Accepted: May 6, 2015; Published: June 10, 2015
Copyright: © 2015 Silva-Rocha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: Data are within the paper and Supporting Information files.
Funding: This work was supported by the Young Researcher Program of Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP - http://fapesp.br/en/) [09/09532-0 to TK], Edital Universal do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - http://www.cnpq.br/) [473660/2013-0 to TK, 470120/2009-6 to TK], Fundação de Apoio ao Ensino, Pesquisa e Assistência do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo (FAEPA); Núcleo de Apoio a Pesquisa em Biologia Computacional e Genômica (NAP-NUBIC) from Universidade de São Paulo; fellowships from FAPESP [13/04125-2 to RSR, 11/07487-7 to LSZ, 13/23712-6 to GPF] and CAPES [to MCP].
Competing interests: The authors have declared that no competing interests exist.
Archaea have been recognized as an evolutionary independent domain of life only a few decades ago, presenting unique characteristics not existing in Eukarya or Bacteria, such as the presence of ether lipids in the membrane . These organisms are well known for thriving in extreme environments such as high temperatures, low pHs, high salinity, etc. [2,3], Therefore, archaea are good model systems for studying life in typically stressful environments . In addition to their unique characteristics, archaea present genomic organization very similar to bacteria, while the information processing system has similar features to the eukaryotic machinery [4,5,6]. In accordance with their often-unusual lifestyle, laboratory cultivation of archaeal organisms is laborious and has historically limited the investigation of molecular mechanisms operating in its members. For the same reason, the implementation of molecular tools for genetic manipulation of archaea has been limited, but new alternatives have been generated with the advent of the genomic era [2,7]. Due to the genomic organization similar to bacteria, existing genetic tools for archaea are plasmid-based vectors harboring replication origins from both the archaeal organisms and E. coli, the later allowing the genetic manipulation of the vector using recombinant DNA technology [2,5,7].
With the widespread use of high-throughput technologies experienced in the last years, different archaea have been targeted in systems biology studies. In this sense, the halophilic archaeon Halobacterium salinarum has been intensively studied using several omics approaches [8,9,10,11,12,13] and the deep level of information gathered led to the formulation of an accurate predictive model of its gene regulatory network [14,15]. This predictive model demonstrates the potential of integrating high-throughput data to get multi-level understanding of the molecular mechanisms operating in living organisms. While significant progresses in the post-genomic era have been experienced, a still existing limitation related to in vivo functional studies is the absence of optimized, high performance genetic tools for the manipulation of the target organism. This fact is not restricted to archaea, and several attempts have been made to overcome this limitation by generating new standardized genetic tools for diverse model organisms, from bacteria to eukaryotes [16,17,18,19]. The underlying principle is that the genetic tools should be minimal (i.e. devoid of unnecessary sequences), modular and sequence optimized to remove deleterious features (such as useful restriction sites from functional parts, which should be exclusive to the multiple cloning site-MCS). These principles have emerged mainly in the field of synthetic biology, where sequence optimization is a critical step to accomplish the assembling of large regulatory circuits . In this work, we present the construction and characterization of a set of modular and optimized vectors to genetic engineer the halophilic archaeon H. salinarum. The innovation of the tools presented here is that different functionalities (e.g. cloning system, suicide vector, expression system and promoter probing) are placed under a standard format that allows interchangeability of the components and future vectors development, with the incorporation of new functional modules. We believe that our modular system will consistently speed up in vivo functional studies in this archaeon.
Results and Discussion
Designing a modular vector architecture for Archaea
Standard formats for genetic tools have been proposed for different organisms to facilitate the implementation of synthetic circuits and the distribution of material between different laboratories [18,21,22,23]. As a starting point for our modular archaeal vectors, we inspired our design in the SEVA format (Standard European Vector Architecture), which was used to construct modular vectors for a broad range of gram-negative bacteria . The design used here is represented in Fig 1. As shown in the schema, the pHsal vectors have four modules, each one with specific functionalities. The first module allows the replication of the vectors in the E. coli host to facilitate genetic manipulation of the plasmids: it is formed by the multi-copy ColE1 replication origin and the bla gene for ampicillin resistance. Both segments are taken from pUC19 vector . The second element is a replication origin that confers autonomous maintenance in the archaeal host. We used the minimal origin from pGRB1 plasmid , which is widely used in existing vectors for H. salinarum . The third element is a resistance marker that allows the selection of H. salinarum strains harboring the plasmids. We used the mevinolin resistance marker mevR, which has been successfully used in H. salinarum [2,7]. Finally, the fourth module is the Cargo, which represents an extensive MCS flanked by universal M13 primers. This architecture facilitates cloning procedures and further confirmation steps, such as digestions and sequencing. As shown in Fig 1, each functional module is flanked by a unique restriction site that can be used to replace these elements by alternative variants : the cargo module is flanked by PacI and SpeI restriction sites, the resistance marker by SpeI and AscI, the archaeal replication origin by PacI and BglII and the E. coli’s specific part by BglII and AscI.
The format is inspired in the SEVA platform  and is divided into four modules: (i) the E. coli specific part (origin of replication and ampicillin resistance gene); (ii) the replication origin; (iii) the resistance marker (tagged as AbR) and (iv) the cargo. Each module is flanked by a unique restriction site that allows the easy replacement of a segment by a new sequence (for example, different resistance markers or origin of replications). The cargo is the main region of the vectors since it is used for cloning the fragments of interest.
Since unique restriction sites should be exclusively used to replace the functional modules, any fragment used to construct the vectors should be first sequence-edited to eliminate these sites, as well as those restricted to the MCS region. The modular design used in pHsal series also includes a specific architecture for other functional elements such as universal primers and insertion of expression and reporter systems (Fig 2). In this case, universal primers (F24 and R24) are placed between the flanking restriction sites (PacI or SpeI) and the nearest restriction sites in the MCS (Fig 2A). Similarly, any expression element (either a promoter or a promoter plus its regulator) can be inserted between PacI and AvrII sites in the MCS (Fig 2B), while reporter systems are introduced at the end of this region between HindIII and SpeI restriction sites (Fig 2C). The next sections describe the construction of functional modules and the implementation of new functional elements such as promoters and reporter systems for H. salinarum.
(A) The basic cargo is a 150 nt long sequence containing an extensive multiple cloning site and a pair of universal primers (F24 and R24), allowing the user to easily clone and check the sequence of interest. (B) The expression systems of the pHsal series are cloned as PacI/AvrII fragments at the 5’-end of the MCS. (C) The reporter systems for promoter probing are cloned as HindIII/SpeI fragments at the 3’-end of the MCS. With this design, the fragments of interest could be cloned using any of the restriction sites from AvrII to HindIII, always considering the directionality of the expression and reporter systems.
Construction of a set of modular vectors for H. salinarum
Based on the modular design presented above, we constructed a series of minimal, modular vectors for H. salinarum. The maps of the two main vectors are presented in Fig 3. In the pHsal series, pHsal-C is a 5.3 kb cloning vector that has a mevinolin resistance marker and a pGRB1 replication origin for autonomous maintenance in H. salinarum (Fig 3A). This vector is devoid of any expression system. and can be used with user-defined promoters and genes. Two variants of pHsal-C were constructed for different applications: pHsal-E and pHsal-GFP. The vector pHsal-E harbors an expression system based on a variant of the strong fer2 promoter (see below) that is cloned between the PacI and AvrII sites in the MCS (S1A Fig at the Supporting Information file 1). This vector allows high-level, constitutive expression of heterologous genes in H. salinarum. The pHsal-GFP vector is a variant of pHsal-C that harbors a GFP reporter gene between HindIII and SpeI sites and can be used to quantify promoter activities in H. salinarum (S1B Fig).
The main features of the vectors are represented, along with their relative positions. (A) pHsal-C is formed by the cargo, a mevR resistance marker and an origin for autonomous replication in H. salinarum, while (B) pHsal-S is endowed with a mevR and an ura3 marker and is devoid of replication origins for this archaeon. Yet, both vectors have the fragment with the ApR resistance marker (bla gene) and the ColE1 replication origin for replication and selection in E. coli host.
While the three vectors described above allow autonomous maintenance of the genes of interest in H. salinarum, some applications require the modification of chromosomal sequences to generate stable and permanent genotypes. Construction of knockouts strains, tagging of proteins with an epitope or replacement of a wild type gene by a mutant variant [2,7,13] require the use of a suicide vector with a marker for counter selection, such as the ura/pyr strategy . We have thus constructed a vector named pHsal-S, which is devoid of a replication origin for H. salinarum and has both the mevR resistance marker for positive selection and a sequence-optimized ura3 (VNG1673G) gene for counter selection with 5-FOA . It is important to highlight that the pHsal-S vector not only has a modular architecture and an extended MCS, but is also about 1.6 kb shorter than the currently available vector for knockout generation and protein tagging . This size reduction is possible since only minimal functional sequences were used, facilitating the manipulation of the vector in vitro. All these new modular vectors, along with their functional components were tested in vivo in H. salinarum and were found to be functional in this organism, as described in the next sections. Taken together, these new vectors provide a set of valuable genetic tools for engineering H. salinarum that could significantly aid functional studies in this model organism.
Sequence optimization of a strong expression system for H. salinarum
As mentioned above, pHsal-E vector allows the expression of heterologous fragments in H. salinarum from a strong, constitutive fer2 promoter  that was sequence edited to eliminate useful restriction sites. Fig 4A shows a schematic representation of the fer2 promoter region (Pfer2), where TATA box, BRE and PPE regions  are represented. In the Pfer2 wild-type sequence, the region 150 bp upstream of BRE encompasses the Upstream Activation Region (UAS), where we identified three restriction sites for the enzymes NcoI, SphI and SmaI. We used mutagenic PCR to change four bases in the wild type sequence, eliminating these restriction sites. The mutated UAS sequence was assembled by PCR and cloned into a GFP reporter vector, generating the promoter Pzero (Fig 4A). To check the functionality of the sequence-edited promoter, we introduced reporter plasmids with the wild type Pfer2 or with Pzero into H. salinarum. As a control, a plasmid devoid of any promoter was also introduced to determine the basal activity of the system. Recombinant H. salinarum strains harboring the plasmids of interest were grown in CM media and the promoter activities were assayed at mid (16h) and late (24h) exponential phase. As shown in Fig 4B, the sequence-optimized Pzero displayed a promoter activity very similar to the wild type Pfer2, showing that the mutations introduced into the promoter did not affect significantly its activity. Thus, the data provided here show the construction of sequence optimized, strong expression system for high-level expression of heterologous genes in H. salinarum.
(A) A 200 bp long sequence for the fer2 promoter was sequence edited by overlapping PCR to eliminate 3 restriction sites for the enzymes NcoI, SphI and SmaI. The resulting edited sequence was named Pzero, cloned in front of a promoterless GFP reporter gene and inserted in H. salinarum NRC-1. In the schema, the TATA box, BRE, PPE and UAS elements are represented . (B) For the analysis of promoter activity, H. salinarum strains were assayed at mid (16h) and late (24h) exponential phases and the activity of the edited promoter was compared to the wild type sequence (Pfer2). An empty vector with no promoter cloned was used as control to check basal GFP expression of the system. Vertical bars represent standard deviation from experiments performed in triplicate.
Validation of the suicide vector for chromosomal tagging
To demonstrate the efficacy of the new tools constructed here for genome editing, we used the pHsal-S vector for the generation of H. salinarum strains harboring chromosomal tags in genes of interest. As a proof of concept, we targeted the RNA chaperone Lsm encoded by the gene VNG1496G. We selected the FLAG-tag since it is a widely used and short (8 aa) tag peptide , with reduced chances of affecting the structure of the target protein. For the construction of the tagged strain, flanking regions of 500 bp upstream and downstream of the stop codon of the VNG1496G gene were PCR amplified and assembled into a 1.0 kb fragment by recombinant PCR. In this procedure, the homology primers of the recombinant PCR harbor the nucleotide sequence coding the FLAG-tag, allowing the insertion of the tag at the 3’-end of the gene. The final recombinant fragment was then cloned into pHsal-S vector and the resulting plasmid was used to transform H. salinarum. Recombinant strains with the plasmid integrated into the chromosome were selected by plating the transformation in selective media supplemented with mevinolin. After the appearance of colonies in the selective media, a single one was picked and inoculated into liquid media without selective pressure to allow the second event of recombination. After saturation of the liquid culture, cells were plated in solid media with 5-FOA to counter-select non-recombinant strains . Colonies able to grow under these conditions were checked by PCR to verify if the tag was correctly inserted into the chromosome or if the strains were able to revert to the wild-type genotype (Fig 5). As shown in Fig 5B, we detected 7 out of 10 colonies that were positive for the correct incorporation of the FLAG-tag. This result highlights the applicability of the new suicide vector pHsal-S for the generation of stable genotypes in H. salinarum.
(A) A suicide plasmid pHsal-S-Lsm::FLAG-tag, harboring a modified flanking region of the Lsm gene to introduce a FLAG-tag epitope, was transformed into H. salinarum. Double recombination events were selected and correct incorporation of the FLAG-tag was checked using primers Pck1 and Pflag. As a control, primers Pck1/Pck2 were used to amplify the whole flanking region of the Lsm coding gene. (B) PCR validation of the FLAG-tag incorporation. Ten (numbered from 1 to 10) independent colonies were selected and screened using primers Pck1/Pflag, which should give rise to an amplification band of ~ 600 bp. The 1.0 kb DNA ladder is shown on line 1, while line 2 shows the amplification control, representing the flanking region obtained using primers Pck1/Pck2.
The use of new technologies to get large-scale access on molecular mechanisms operating in living organisms has changed our way to see biological systems. However, the progress to get experimental data in the field of systems biology is not always followed by the development of experimental tools to allow large-scale engineering of the target organism and test the hypotheses raised by systems approaches. By the same token, synthetic biology applications also require the development of high-performance tools to allow large-scale assembly and implementation of synthetic circuits . Standardized genetic tools have already been developed for bacteria [18,21] and eukaryotes . As far as we are concerned, the modular vectors presented here are the first attempt to build modular genetic tools for archaea. We targeted the halophilic archaeon H. salinarum, a model organism in systems biology and we anticipate that many of the hypotheses generated so far will now be more easily addressed using these tools. Furthermore, we encourage other researches working in archaea to adopt similar strategies to construct modular vectors for different organisms, perhaps using the pHsal vectors as a starting point. Finally, we stress that the vectors developed here are freely available.
Materials and Methods
Strains, plasmids and growth conditions
Halobacterium salinarum NRC-1 cells were grown in enriched complex media (CM) consisting of 25% NaCl, 2% MgSO4.7H2O, 0.2% KCl, 0.3% Na-citrate and 1% peptone, at 37°C under light and constant agitation of 225 rpm . When required, the media was supplemented with 20 μg/mL of mevinolin (A.G. Scientific, San Diego, CA) or 5-fluoroorotic acid (5-FOA, 300 μg/mL). Cultivation and transformation of H. salinarum were performed according to standard protocols . Escherichia coli DH5α cells were grown at 37°C with air shaking at 225 rpm in Luria-Bertani media (LB; 1% triptone, 0.5% yeast extract, 0.5% Na-chloride). When required, the media was supplemented with 100 μg/mL of carbenicilin (Sigma) to ensure plasmid retention. Synthetic DNA sequences were obtained from GeneArt (Life Technologies). All DNA manipulation techniques were performed according to standard protocols.
General cloning procedures
For the construction of the pHsal vector series, some initial vectors were constructed as starting points for assembling the modular vectors (Table 1). First, a ~1.8 kb fragment containing the bla gene and the ori ColE1 was PCR amplified using primers 5-pUC-BglII and 5-pUC-AscI that incorporate BglII and AscI restriction sites in the flanking regions. This fragment was digested and ligated to a 150 bp synthetic DNA fragment (GeneArt) containing the MCS of the system, generating the pRzero vector. Next, the pRzero vector was digested with the enzymes AscI and SpeI and ligated to a 1.2 kb long synthetic sequence of the optimized ura3 gene (named ura3-2.0, GeneArt) digested with the same enzymes, generating the vector pRU. In turn, the mevR gene was PCR amplified from the plasmid pMTF1025GFP_CHA with primers 5-mev-SpeI and 3-mev-XbaI, digested with the enzymes SpeI and XbaI and cloned into a pRU vector previously digested with SpeI. From the resulting colonies, a recombinant vector that regenerated the single SpeI site at the 5’-end of the mevR gene was named pHsal-S (Fig 3B), which is a suicide vector for the insertion of chromosomal modifications in H. salinarum. For the generation of the pHsal-S-Lsm::FLAG-tag vector, a 1.0 kb fragment containing the flanking regions of the Lsm gene (VNG1496G) was assembled by recombinant PCR using an upstream fragment amplified using primers 5-Lsm-EcoRI/3-flag and a downstream fragment, obtained with primers 5-flag/Pck2. The two fragments were joined using primers 5-Lsm-EcoRI /Pck2 and cloned into pHsal-S vector in EcoRI and HindIII restriction sites. The resulting recombinant vector was used to transform H. salinarum and generate the tagged version of Lsm as described previously .
For the construction of modular vectors able to replicate autonomously in H. salinarum, a ~1.6 kb fragment containing the pGRB1 replication origin  was PCR amplified from the pMTF1025GFP_CHA vector and cloned as a BglII/PacI fragment into the pRzero vector, previously digested with the same enzymes. The resulting plasmid was named pRO and used in the next steps. In order to create a sequence-edited version of the mevR gene, three DNA fragments were PCR amplified using pMTF1025GFP_CHA vector as template with primers 5-mev-SpeI/3-mut1 (fragment 1), 5-mut1/3-mut2 (fragment 2) and 5-mut2/3-mev-AscI (fragment 3). These primers allow the elimination of an AscI and a SalI restriction sites present in the wild type sequence of the gene. Next, the three fragments were used in a PCR reaction with primers 5-mev-SpeI/3-mev-AscI to reconstruct the complete mevR gene by overlapping PCR. The full 1.8 kb fragment was agarose gel purified and cloned using AscI and SpeI enzymes into the pRO vector, generating pHsal-C (Fig 3A). This vector is able to replicate autonomously in H. salinarum under the selection for mevinolin resistance.
For the construction of pHsal-E, we first generated and validated a sequence-edited version of the fer2 promoter of H. salinarum. For this, two fragments of the Pfer2 sequence were PCR amplified using primers 5-Pfer2-KpnI/3-Pfer2-M and 5-Pfer2-M/3-Pfer2, and assembled into a single fragment in a second round of PCR reaction with primers 5-Pfer2-KpnI/3-Pfer2. This ~100 bp fragment was digested with KpnI and cloned into pMTF1025GFP_CHA vector previously digested with KpnI/SmaI enzymes, generating vector pMTF1025GFP-Pzero. Once Pzero activity was validated in vivo, the synthetic promoter was PCR amplified using primers 5-Pzero-PacI/3-Pzero-AvrII and cloned as a PacI/AvrII fragment into pHsal-C, generating pHsal-E, which is an expression plasmid based on the strong Pzero promoter activity. Finally, for the construction of a GFP-based vector for promoter probing, a 0.8 kb fragment containing the GFP sequence was PCR amplified using pMTF1025GFP_CHA as template and primers 5-GFP-HindIII/3-GFP-SpeI. This fragment was cloned with enzymes HindIII/SpeI into pHsal-C, generating pHsal-GFP. All vector sequences are available at our website (http://labisismi.fmrp.usp.br/index.php/en/resen) and as S1 File. All plasmids are available upon request by e-mail.
GFP reporter assays
To quantify promoter activity, single colonies of H. salinarum strains with different reporter plasmids were inoculated in 5 mL of liquid CM supplemented with 20 μg/mL mevinolin and incubated for 5 days. After pre-growth, cells were diluted to an OD600 ~0.05 in fresh media and grown in standard conditions. At two specific time points (16 and 24 hours), samples (1.8 mL) were taken and the OD600 measured. Sample cells were centrifuged for 5 min at 13,000 rpm and the supernatant was discarded. Cells were then resuspended in 1.8 mL of GFP assay buffer (10mM Tris-HCl, pH 7.5) and mixed vigorously to allow cell lysis. After lysis, cell debris were removed by centrifugation and samples were analyzed in a RF-5301PC fluorimeter (Shimadzu). GFP assays were performed using wavelengths of 488 nm for excitation and 510 nm for emission. Promoter activities were calculated by normalizing the measured fluorescence by the initial cell density (fluorescence/OD600). A control strain of H. salinarum without the reporter plasmid was used to calculate the auto-fluorescence of the cells, and these background values were subtracted from the promoter activities.
S1 Fig. Physical maps of the modular expression (pHsal-E) and reporter (pHsal-GFP) vectors.
The authors thank André Medina and Silvia Helena Epifânio for technical support and are grateful to lab members for insightful discussions.
Conceived and designed the experiments: RSR TK. Performed the experiments: RSR MCP GPF LSZ. Analyzed the data: RSR MCP GPF LSZ TK. Contributed reagents/materials/analysis tools: RSR TK. Wrote the paper: RSR MCP TK.
- 1. Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya. Proc Natl Acad Sci U S A. 1990;87(12):4576–9. pmid:2112744.
- 2. Leigh JA, Albers SV, Atomi H, Allers T. Model organisms for genetics in the domain Archaea: methanogens, halophiles, Thermococcales and Sulfolobales. FEMS Microbiol Rev. 2011;35(4):577–608. pmid:21265868.
- 3. van den Burg B. Extremophiles as a source for novel enzymes. Curr Opin Microbiol. 2003;6(3):213–8. pmid:12831896.
- 4. Bell SD, Jackson SP. Transcription and translation in Archaea: a mosaic of eukaryal and bacterial features. Trends Microbiol. 1998;6(6):222–8. pmid:9675798.
- 5. Koonin EV, Wolf YI. Genomics of bacteria and archaea: the emerging dynamic view of the prokaryotic world. Nucleic Acids Res. 2008;36(21):6688–719. pmid:18948295.
- 6. Allers T, Mevarech M. Archaeal genetics—the third way. Nat Rev Genet. 2005;6(1):58–73. pmid:15630422.
- 7. Farkas JA, Picking JW, Santangelo TJ. Genetic techniques for the archaea. Annual review of genetics. 2013;47:539–61. pmid:24050175.
- 8. Hundt S, Zaigler A, Lange C, Soppa J, Klug G. Global analysis of mRNA decay in Halobacterium salinarum NRC-1 at single-gene resolution using DNA microarrays. J Bacteriol. 2007;189(19):6936–44. pmid:17644597.
- 9. Van PT, Schmid AK, King NL, Kaur A, Pan M, Whitehead K, et al. Halobacterium salinarum NRC-1 PeptideAtlas: toward strategies for targeted proteomics and improved proteome coverage. J Proteome Res. 2008;7(9):3755–64. pmid:18652504.
- 10. Gonzalez O, Gronau S, Pfeiffer F, Mendoza E, Zimmer R, Oesterhelt D. Systems analysis of bioenergetics and growth of the extreme halophile Halobacterium salinarum. PLoS Comput Biol. 2009;5(4):e1000332. pmid:19401785.
- 11. Koide T, Reiss DJ, Bare JC, Pang WL, Facciotti MT, Schmid AK, et al. Prevalence of transcription promoters within archaeal operons and coding sequences. Mol Syst Biol. 2009;5:285. pmid:19536208.
- 12. Leuko S, Raftery MJ, Burns BP, Walter MR, Neilan BA. Global protein-level responses of Halobacterium salinarum NRC-1 to prolonged changes in external sodium chloride concentrations. J Proteome Res. 2009;8(5):2218–25. pmid:19206189.
- 13. Wilbanks EG, Larsen DJ, Neches RY, Yao AI, Wu CY, Kjolby RA, et al. A workflow for genome-wide mapping of archaeal transcription factors with ChIP-seq. Nucleic Acids Res. 2012. pmid:22323522.
- 14. Bonneau R, Facciotti MT, Reiss DJ, Schmid AK, Pan M, Kaur A, et al. A predictive model for transcriptional control of physiology in a free living cell. Cell. 2007;131(7):1354–65. pmid:18160043.
- 15. Brooks AN, Reiss DJ, Allard A, Wu WJ, Salvanha DM, Plaisier CL, et al. A system-level model for the microbial regulatory genome. Mol Syst Biol. 2014;10:740. pmid:25028489.
- 16. 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. pmid:20236988.
- 17. Liu W, Yuan JS, Stewart CN Jr. Advanced genetic tools for plant biotechnology. Nat Rev Genet. 2013;14(11):781–93. pmid:24105275.
- 18. Silva-Rocha R, Martinez-Garcia E, Calles B, Chavarria M, Arce-Rodriguez A, de Las Heras A, et al. The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes. Nucleic Acids Res. 2013;41(Database issue):D666–75. pmid:23180763.
- 19. Lienert F, Lohmueller JJ, Garg A, Silver PA. Synthetic biology in mammalian cells: next generation research tools and therapeutics. Nat Rev Mol Cell Biol. 2014;15(2):95–107. pmid:24434884.
- 20. Canton B, Labno A, Endy D. Refinement and standardization of synthetic biological parts and devices. Nat Biotechnol. 2008;26(7):787–93. pmid:18612302.
- 21. Shetty RP, Endy D, Knight TF Jr. Engineering BioBrick vectors from BioBrick parts. J Biol Eng. 2008;2:5. pmid:18410688.
- 22. Lee TS, Krupa RA, Zhang F, Hajimorad M, Holtz WJ, Prasad N, et al. BglBrick vectors and datasheets: A synthetic biology platform for gene expression. J Biol Eng. 2011;5:12. pmid:21933410.
- 23. Sarrion-Perdigones A, Falconi EE, Zandalinas SI, Juarez P, Fernandez-del-Carmen A, Granell A, et al. GoldenBraid: an iterative cloning system for standardized assembly of reusable genetic modules. PLoS One. 2011;6(7):e21622. pmid:21750718.
- 24. Yanisch-Perron C, Vieira J, Messing J. Improved M13 phage cloning vectors and host strains: nucleotide sequences of the M13mp18 and pUC19 vectors. Gene. 1985;33(1):103–19. pmid:2985470.
- 25. Ebert K, Goebel W, Pfeifer F. Homologies between heterogeneous extrachromosomal DNA populations of Halobacterium halobium and four new halobacterial isolates. Molec Gen Genet. 1984;194(1–2):91–7. pmid:11878322
- 26. Peck RF, DasSarma S, Krebs MP. Homologous gene knockout in the archaeon Halobacterium salinarum with ura3 as a counterselectable marker. Mol Microbiol. 2000;35(3):667–76. pmid:10672188.
- 27. Danner S, Soppa J. Characterization of the distal promoter element of halobacteria in vivo using saturation mutagenesis and selection. Mol Microbiol. 1996;19(6):1265–76. pmid:8730868
- 28. Seitzer P, Wilbanks EG, Larsen DJ, Facciotti MT. A Monte Carlo-based framework enhances the discovery and interpretation of regulatory sequence motifs. BMC bioinformatics. 2012;13:317. pmid:23181585.
- 29. Munro S, Pelham HR. Use of peptide tagging to detect proteins expressed from cloned genes: deletion mapping functional domains of Drosophila hsp 70. Embo J. 1984;3(13):3087–93. pmid:6526011.
- 30. Arkin A. Setting the standard in synthetic biology. Nat Biotechnol. 2008;26(7):771–4. pmid:18612298.
- 31. Robb FT, DasSarma S, Fleischmann EM. Archaea: a laboratory manual. Halophiles: Cold Spring Harbor Laboratory; 1995.
- 32. Grant SG, Jessee J, Bloom FR, Hanahan D. Differential plasmid rescue from transgenic mouse DNAs into Escherichia coli methylation-restriction mutants. Proc Natl Acad Sci U S A. 1990;87(12):4645–9. pmid:2162051.