![cross.png](/logos/buttonlogos/cross.png)
![cross.png](/logos/buttonlogos/cross.png)
![cross.png](/logos/buttonlogos/cross.png)
![cross.png](/logos/buttonlogos/cross.png)
structural communications
Structure of 3-ketoacyl-(acyl-carrier-protein) reductase from Rickettsia prowazekii at 2.25 Å resolution
aSeattle Structural Genomics Center for Infectious Disease (SSGCID), USA,bSeattle Biomedical Research Institute, 307 Westlake Avenue North, Seattle, WA 98125, USA,cEmerald BioStructures Inc., 7869 NE Day Road West, Bainbridge Island, WA 98110, USA, and dDepartment of Biochemistry, University of Washington, Box 357742, Seattle, WA 98195, USA
*Correspondence e-mail: sandhya.subramanian@sbri.org
Rickettsia prowazekii, a parasitic Gram-negative bacterium, is in the second-highest biodefense category of pathogens of the National Institute of Allergy and Infectious Diseases, but only a handful of structures have been deposited in the PDB for this bacterium; to date, all of these have been solved by the SSGCID. Owing to its small genome (about 800 protein-coding genes), it relies on the host for many basic biosynthetic processes, hindering the identification of potential antipathogenic drug targets. However, like many bacteria and plants, its metabolism does depend upon the type II fatty-acid synthesis (FAS) pathway for lipogenesis, whereas the predominant form of fatty-acid biosynthesis in humans is via the type I pathway. Here, the structure of the third enzyme in the FAS pathway, 3-ketoacyl-(acyl-carrier-protein) reductase, is reported at a resolution of 2.25 Å. Its fold is highly similar to those of the existing structures from some well characterized pathogens, such as Mycobacterium tuberculosis and Burkholderia pseudomallei, but differs significantly from the analogous mammalian structure. Hence, drugs known to target the enzymes of pathogenic bacteria may serve as potential leads against Rickettsia, which is responsible for spotted fever and typhus and is found throughout the world.
Keywords: Rickettsia prowazekii; 3-oxoacyl-(acyl-carrier-protein) reductase; FabG; epidemic typhus; infectious diseases; SSGCID.
3D view: 3f9i
PDB reference: 3-ketoacyl-(acyl-carrier-protein) reductase, 3f9i
1. Introduction
Epidemic typhus has afflicted humans for a long time, with the first written record going back to 1083 AD (Szybalski, 1999). The obligate bacterial parasite Rickettsia prowazekii is responsible for the disease, which is transmitted by various arthropod vectors, most commonly body lice (Pediculus humanus humanus) or flying squirrel fleas (Orchopeas howardii) and lice (Neohematopinus sciuropteri), through their saliva or feces. Epidemic typhus flourishes in areas with overcrowding or poor hygiene, such as jails or refugee camps. Although louse control has succeeded in suppressing typhus in the modern era, recent outbreaks in the USA (Reynolds et al., 2003
), Africa (Mokrani et al., 2004
) and Europe (Tarasevich et al., 1998
) have re-established R. prowazekii as a re-emerging disease threat; its potential use in bioterrorism (Radulovic & Azad, 2002
) places it in category B of the Biodefense Category A, B and C Priority Pathogens of the National Institute of Allergy and Infectious Diseases.
The genome of R. prowazekii, a member of the Gram-negative alphaproteobacteria, is not large at just over 1.1 million base pairs, with only 834 open reading frames found (Andersson et al., 1998). This reduced proteome is representative of the dependence of Rickettsia on its host for many biosynthetic functions and leaves fewer innate enzyme targets for antipathogenic targeting. One well conserved pathway that it shares with other bacterial pathogens is for fatty-acid biosynthesis as a primary source of cell-membrane lipids.
In R. prowazekii fatty-acid biosynthesis occurs via the type II fatty-acid synthase pathway, which is thought to be descendant from an algal plastid (Wilson, 2002) and consists of four to eight individual enzymes that start with acetyl coenzyme A and malonyl-(acyl-carrier-protein) to create elongated for the lipid bilayer (Fig. 1
). In contrast, human fatty-acid biosynthesis is performed by a single large multifunctional peptide, the multienzyme type I fatty-acid synthase, which passes the substrate from one domain to the next. 3-Ketoacyl-(acyl-carrier-protein) [3-ketoacyl-(ACP)] reductase, gene name fabG, is the third enzyme in the type II pathway and catalyzes the chemical reaction
While many structures of 3-ketoacyl-(ACP) reductase have been solved, those from Escherichia coli (Price et al., 2001), Mycobacterium tuberculosis (Cohen-Gonsaud et al., 2002
) and Burkholderia pseudomallei (PDB entry 3ftp ; Seattle Structural Genomics Center for Infectious Disease, unpublished work) to name only a few, only five structures in total have been solved for Rickettsia and the solution of the structure of an essential pathway enzyme in this bacterial parasite holds promise for drug development against typhus.
![]() | Figure 1 Fatty-acid biosynthetic pathway for R. prowazekii. The R. prowazekii fatty-acid biosynthesis map from the KEGG PATHWAY database (Kanehisa & Goto, 2000 ![]() |
2. Methods
2.1. Protein expression and purification
FabG from R. prowazekii strain Madrid E (NCBI NP_221114; fabG gene RP762; UniProt P50941; Pfam ID PF00106; EC 1.1.1.100) spanning the full-length protein from residues 1 to 241 was cloned from genomic DNA into a pAVA0421 vector using ligation-independent cloning (Aslanidis & de Jong, 1990) to produce a construct with an uncleaved N-terminal hexahistidine-affinity tag followed by the human rhinovirus 3C protease-cleavage sequence (sequence MAHHHHHHMGTLEAQTQGPGS-ORF). R. prowazekii FabG was expressed in E. coli using BL21(DE3)R3 Rosetta cells and autoinduction medium in a LEX bioreactor as follows. A 3 ml starter culture of LB broth with ampicillin was grown for ∼18 h at 310 K. ZYP-5052 auto-induction medium was freshly prepared as per Studier's published protocols (Studier, 2005
). Ampicillin was added to 2 l sterile auto-induction medium, which was inoculated with all of the overnight culture and then placed into the LEX bioreactor. The culture was grown for ∼24 h at 298 K; the temperature was reduced to 288 K and the culture was grown for a further ∼60 h. To harvest, the cultured medium was centrifuged at 4000g for 20 min at 277 K. The cell paste was flash-frozen in liquid nitrogen and stored at 193 K.
The frozen cells were resuspended in lysis buffer (25 mM HEPES pH 7.0, 500 mM NaCl, 5% glycerol, 30 mM imidazole, 0.025% sodium azide, 0.5% CHAPS, 10 mM MgCl2, 1 mM TCEP, 250 ng ml−1 AEBSF and 0.05 µg ml−1 lysozyme). The resuspended cell pellet was disrupted on ice for 30 min with a Virtis sonicator (408912; set at 100 W power with alternating cycles of 15 s pulse on and 15 s pulse off). The cell debris was incubated with 20 µl Benzonase nuclease (EMD Chemicals; 25 units ml−1) at room temperature for 45 min and clarified by centrifugation on a Sorvall SLA-1500 at 14 000 rev min−1 for 75 min at 277 K. The protein was purified from the clarified cell lysate by immobilized metal-affinity on an Ni–NTA HisTrap FF 5 ml column (GE Healthcare) equilibrated with binding buffer (25 mM HEPES pH 7.0, 0.5 M NaCl, 5% glycerol, 30 mM imidazole, 0.025% sodium azide, 1 mM TCEP) at 277 K. The recombinant protein was eluted with 250 mM imidazole. The protein was collected in the flowthrough and was further resolved by (SEC) using a HiLoad 26/60 Superdex 200 column (GE Healthcare) at 277 K. Pure fractions collected in SEC buffer (25 mM HEPES pH 7.0, 500 mM NaCl, 2 mM DTT, 0.025% sodium azide and 5% glycerol) as a single peak were pooled and the protein was concentrated to 25.35 mg ml−1, as determined via A280 including compensation for the with good solubility. The 2.5 ml sample was flash-frozen and stored at 193 K prior to crystallography.
2.2. Crystallization and X-ray data collection
For the FabG target at a protein concentration of 23.4 mg ml−1 in SEC buffer, two sparse-matrix screens were set up, JCSG+ (Emerald BioSystems) and PACT (Molecular Dimensions), following the strategy of Newman et al. (2005). 0.4 µl protein solution was mixed with 0.4 µl well solution and equilibrated at 289 K against 100 µl reservoir solution using 96-well Compact Jr crystallization plates from Emerald BioSystems. Crystals suitable for diffraction studies were obtained within two weeks from JCSG+ screen condition D3: 100 mM sodium/potassium phosphate pH 6.2, 50% PEG 200, 200 mM NaCl. The crystals, which were approximately 0.1–0.15 mm in each direction, did not need additional cryoprotection and were flash-frozen by plunging them into liquid nitrogen.
A native data set was collected to 2.25 Å resolution in-house at Cu Kα wavelength using a Rigaku SuperBright FR-E+ rotating-anode X-ray generator equipped with Osmic VariMax HF optics and a Saturn 944+ CCD detector (Table 1). Because of the rather long c axis (183 Å) and the rather small in-house detector (94.4 mm), the data set was collected with fine φ slicing (0.3°). The diffraction data were reduced with XDS/XSCALE (Kabsch, 2010
) to 2.25 Å resolution. The crystals belonged to the primitive tetragonal P41212. The data-collection and are summarized in Tables 1
and 2
.
![]() ![]() |
![]() ![]() ![]() |
2.3. Structure solution and refinement
Using the BLAST (Altschul et al., 1997) homology-search server at NCBI, Brucella melitensis glucose/ribitol dehydrogenase (PDB entry 3emk ; Seattle Structural Genomics Center for Infectious Disease, unpublished work) was found to be the closest homolog with a known structure at the time, with 54% sequence identity. The monomer of PDB entry 3emk was modified with the CCP4 program CHAINSAW (Stein, 2008
; Winn et al., 2011
), which deleted four residues (Glu77–Gly80) and mutated 107 residues to their last common atom. Based on a packing density VM (Matthews, 1968
) of 2.24 Å3 Da−1, corresponding to 45% solvent, two molecules were expected to be present in the was performed with the CCP4 program Phaser (McCoy et al., 2007
) using the modified model of 3emk and data to 3 Å resolution. Phaser could position two molecules in the with rotation/translation Z scores of 5.4/17.7 and 5.4/26.7, respectively, and an R factor of 0.52. The initial model was improved with ARP/wARP (Langer et al., 2008
), which built 367 residues in 13 chains with Rwork = 0.259 and Rfree = 0.307. This model was then extended and refined in iterative cycles of REFMAC5 (Murshudov et al., 1997
) and Coot (Emsley et al., 2010
). In REFMAC5 no data-cutoff criteria were used and NCS restraints were applied given the limited resolution of the data.
The final model for FabG contained two protein chains spanning residues Met1–Val241 for either chain, with gaps at Gly85–Asp99, Gly138–Gly141 and Lys182–Leu189 in chain A and Thr87–Asp99 and Ile139–Gly141 in chain B. The two protomers are very similar and superimposed with an r.m.s.d. of 0.44 Å. 129 water molecules were located. In refining this structure the inclusion of TLS terms did not significantly improve the hence, no anisotropic displacement factors were deposited. The final structure was validated with Coot and MolProbity (Chen et al., 2010) and deposited in the PDB with the identifier 3f9i .
3. Results and discussion
3.1. Overall structure
The structure of R. prowazekii FabG (Fig. 2) is very similar to those reported for E. coli FabG and other bacterial FabGs; the protomer assumes a Rossmann-fold structure with a seven β-stranded twisted parallel β-sheet flanked by four α-helices on either side and two βαβαβ motifs at the core (Fig. 2
). R. prowazekii FabG crystallizes with two protomers per A tetramer is generated by According to PISA analysis (Krissinel & Henrick, 1997
) there are two types of interface: a larger interface exists between AB and A′B′ comprising 1690 Å2 with an estimated binding energy of −126 kJ mol−1 and a smaller interface exists between AB′ and A′B comprising 845 Å2 with an estimated binding energy of −71 kJ mol−1. For FabGs tetramers are typically observed. It is therefore assumed that R. prowazekii FabG is in a tetrameric state.
![]() | Figure 2 Crystal structure of R. prowazekii 3-ketoacyl-(ACP) reductase (FabG). FabG from R. prowazekii crystallizes with two molecules per which are shown as ribbon diagrams with purple helices and yellow strands. The active-site residues (Ser143, Tyr156 and Arg160) are grouped near the loop connecting α5 and β5. Secondary-structure elements are labeled from both chains. A tetramer is generated by Molecules A′ and B′ are shown as ribbon diagrams with blue helices and yellow strands. The figure was generated with CCP4mg (McNicholas et al., 2011 ![]() |
3.2. Comparison with other bacterial 3-ketoacyl-(ACP) reductases
The R. prowazekii FabG shows 1.33 Å r.m.s.d. with the E. coli structure (PBD entry 1i01 ; Price et al., 2001) over 205 residues, 1.26 Å r.m.s.d. with the M. tuberculosis structure (PDB entry 1uzm ; Cohen-Gonsaud et al., 2002
) over 201 residues and 1.22 Å r.m.s.d. with the NADP+-bound Vibrio cholerae structure (PDB entry 3rsh ; J. Hou, M. Chruszcz, D. Cooper, M. Grabowski, H. Zheng, T. Osinski, I. Shumilin, W. Anderson & W. Minor, unpublished work) over 208 residues, as shown in Fig. 3
, whereas the r.m.s.d. with Sus scrofa mammalian FAS (PDB entry 2vz8 ; Maier et al., 2008
), used here as a homologue for the unsolved human FAS structure, is 2.5 Å over 80%. Although there are closer orthologs to Rickettsia FabG than the three aforementioned bacterial structures, these four structures represent prominent bacterial pathogens and the overall structural similarity is useful to note. Furthermore, a multiple sequence alignment (Fig. 4
) of eight bacterial orthologs of 3-ketoacyl-(ACP) reductase ranges from 30 to 54% sequence identity over 93–95% sequence coverage. Of these eight orthologs, only one is not an NIAID Class A–C pathogen. Based on these high overall correspondences in sequence and secondary and conclusions drawn from the other bacterial structures may also be applicable to the Rickettsia protein.
![]() | Figure 3 Structural superimpositions of monomeric units for FabG. In this figure, the monomers of FabG from R. prowazekii (PDB entry 3f9i ; purple helices, yellow strands), from E. coli (PDB entry 1i01 ; magenta), from M. tuberculosis (PDB entry 1uzm ; light blue) and the NADP+-bound structure from V. cholerae (PDB entry 3rsk , pink) are superimposed. There is a significant structural variability between these structures in the proximity of the NADP+-binding site. |
![]() | Figure 4 Alignment of solved structures of bacterial 3-ketoacyl-(ACP) reductases. Multiple sequence and secondary-structure alignment of bacterial orthologs. Numbering along the top is based on the alignment consensus. Predicted α-helices, β-strands, coils and turns are shown as pink cylinders, yellow arrows, grey corkscrews and blue curved arrows, respectively. Sequences are taken from the PDB. From top to bottom: E. coli, 1i01 (Price et al., 2001 ![]() ![]() ![]() ![]() |
FabG has been shown to have negative cooperative binding of NADPH (Price et al., 2001) and this effect is enhanced by the presence of acyl (ACP). NADPH binding also increases the affinity and decreases the maximum binding of ACP to FabG. Thus, unlike other members of the short-chain dehydrogenase/reductase superfamily, FabG undergoes a substantial conformational change upon cofactor binding that organizes the active-site triad (Ser143, Tyr156 and Arg160) and alters the affinity of the other substrate-binding sites in the tetrameric enzyme (Price et al., 2001
). This behavior could explain why the pocket around the NADP+ in Fig. 3
differs significantly among the four bacterial targets and serves as a caveat that a given bacterial FabG antidote may not immediately be effective against Rickettsia.
While a number of antimicrobial options have been identified for targeting most of the enzymes in the FAS II pathway, FabG is still relatively unaddressed, in part owing to the conformational change that it undergoes. Epigallocatechin gallate (EGCG), along with other related plant polyphenols, has been shown to be a mixed-type inhibitor of E. coli FabG, although inhibiting fatty-acid synthesis was not the only target of EGCG (Zhang & Rock, 2004). Similar findings have been generated against the eukaryotic Plasmodium falciparum ortholog (Tasdemir et al., 2006
). Additionally, plant polyphenols have not been considered to be effective against Gram-negative bacteria owing to their effective permeability barrier as well as the action of efflux pumps; deactivating these pumps in conjunction with plant polyphenol administration has been shown to be effective (Tegos et al., 2002
). Nonetheless, Zhang and coworkers concluded that the flexible substrate-binding pocket, while a challenge to model for druggability (Price et al., 2004
), offers the prospect of utilizing a more potent slow-binding inhibitor (Zhang et al., 2006
). In contrast, Poncet-Montange and coworkers inferred from an inactivated mutant form of the M. tuberculosis FabG1 that drug-target screening could be among ligands that freeze the enzyme in its inactive form (Poncet-Montange et al., 2007
).
4. Conclusion
The SSGCID has solved a 2.25 Å resolution structure of R. prowazekii FabG, a 3-ketoacyl-(acyl-carrier-protein) reductase, which corresponds well to the solved structures for other notable bacterial pathogens while differing from mammalian analogs. For Rickettsia in particular this is a significant target for drug development as the organism has a minimal proteome with very few essential biosynthetic pathways maintained. Owing to a significant conformational change during substrate binding, it has been difficult to identify suitable inhibitors for this essential and highly conserved enzyme.
Supporting information
3D view: 3f9i
PDB reference: 3-ketoacyl-(acyl-carrier-protein) reductase, 3f9i
Footnotes
‡These authors contributed equally to this work.
Acknowledgements
The authors wish to thank the entire SSGCID team. This research was funded under Federal Contract No. HHSN272200700057C from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services.
References
Altschul, S. F., Madden, T. L., Schäffer, A. A., Zhang, J., Zhang, Z., Miller, W. & Lipman, D. J. (1997). Nucleic Acids Res. 25, 3389–3402. CrossRef CAS PubMed Web of Science Google Scholar
Andersson, S. G., Zomorodipour, A., Andersson, J. O., Sicheritz-Pontén, T., Alsmark, U. C., Podowski, R. M., Näslund, A. K., Eriksson, A. S., Winkler, H. H. & Kurland, C. G. (1998). Nature (London), 396, 133–140. CAS PubMed Google Scholar
Aslanidis, C. & de Jong, P. J. (1990). Nucleic Acids Res. 18, 6069–6074. CrossRef CAS PubMed Web of Science Google Scholar
Chen, V. B., Arendall, W. B., Headd, J. J., Keedy, D. A., Immormino, R. M., Kapral, G. J., Murray, L. W., Richardson, J. S. & Richardson, D. C. (2010). Acta Cryst. D66, 12–21. Web of Science CrossRef CAS IUCr Journals Google Scholar
Cohen-Gonsaud, M., Ducasse, S., Hoh, F., Zerbib, D., Labesse, G. & Quemard, A. (2002). J. Mol. Biol. 320, 249–261. Web of Science PubMed CAS Google Scholar
Drummond, A. J., Ashton, B., Cheung, M., Heled, J., Kearse, M., Moir, R., Stones-Havas, S., Sturrock, S., Thierer, T. & Wilson, A. (2010). Geneious. https://www.geneious.com . Google Scholar
Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. (2010). Acta Cryst. D66, 486–501. Web of Science CrossRef CAS IUCr Journals Google Scholar
Kabsch, W. (2010). Acta Cryst. D66, 125–132. Web of Science CrossRef CAS IUCr Journals Google Scholar
Kanehisa, M. & Goto, S. (2000). Nucleic Acids Res. 28, 27–30. Web of Science CrossRef PubMed CAS Google Scholar
Krissinel, E. & Henrick, K. (1997). J. Mol. Biol. 372, 774–797. Web of Science CrossRef Google Scholar
Langer, G., Cohen, S. X., Lamzin, V. S. & Perrakis, A. (2008). Nature Protoc. 3, 1171–1179. Web of Science CrossRef CAS Google Scholar
Maier, T., Leibundgut, M. & Ban, N. (2008). Science, 321, 1315–1322. Web of Science CrossRef PubMed CAS Google Scholar
Matthews, B. W. (1968). J. Mol. Biol. 33, 491–497. CrossRef CAS PubMed Web of Science Google Scholar
McCoy, A. J., Grosse-Kunstleve, R. W., Adams, P. D., Winn, M. D., Storoni, L. C. & Read, R. J. (2007). J. Appl. Cryst. 40, 658–674. Web of Science CrossRef CAS IUCr Journals Google Scholar
McNicholas, S., Potterton, E., Wilson, K. S. & Noble, M. E. M. (2011). Acta Cryst. D67, 386–394. Web of Science CrossRef CAS IUCr Journals Google Scholar
Miller, D. J., Zhang, Y.-M., Rock, C. O. & White, S. W. (2006). J. Biol. Chem. 281, 18025–18032. Web of Science CrossRef PubMed CAS Google Scholar
Mokrani, K., Fournier, P. E., Dalichaouche, M., Tebbal, S., Aouati, A. & Raoult, D. (2004). J. Clin. Microbiol. 42, 3898–3900. Web of Science CrossRef PubMed CAS Google Scholar
Murshudov, G. N., Vagin, A. A. & Dodson, E. J. (1997). Acta Cryst. D53, 240–255. CrossRef CAS Web of Science IUCr Journals Google Scholar
Newman, J., Egan, D., Walter, T. S., Meged, R., Berry, I., Ben Jelloul, M., Sussman, J. L., Stuart, D. I. & Perrakis, A. (2005). Acta Cryst. D61, 1426–1431. Web of Science CrossRef CAS IUCr Journals Google Scholar
Poncet-Montange, G., Ducasse-Cabanot, S., Quemard, A., Labesse, G. & Cohen-Gonsaud, M. (2007). Acta Cryst. D63, 923–925. Web of Science CrossRef IUCr Journals Google Scholar
Price, A. C., Zhang, Y.-M., Rock, C. O. & White, S. W. (2001). Biochemistry, 40, 12772–12781. Web of Science CrossRef PubMed CAS Google Scholar
Price, A. C., Zhang, Y.-M., Rock, C. O. & White, S. W. (2004). Structure, 12, 417–428. Web of Science CrossRef PubMed CAS Google Scholar
Radulovic, S. & Azad, A. F. (2002). BTR 2002 Proceedings: Unified Science and Technology for Reducing Biological Threats and Countering Terrorism, pp. 58–63. Google Scholar
Reynolds, M. G., Krebs, J. S., Comer, J. A., Sumner, J. W., Rushton, T. C., Lopez, C. E., Nicholson, W. L., Rooney, J. A., Lance-Parker, S. E., McQuiston, J. H., Paddock, C. D. & Childs, J. E. (2003). Emerg. Infect. Dis. 9, 1341–1343. CrossRef PubMed Google Scholar
Stein, N. (2008). J. Appl. Cryst. 41, 641–643. Web of Science CrossRef CAS IUCr Journals Google Scholar
Studier, F. W. (2005). Protein Expr. Purif. 41, 207–234. Web of Science CrossRef PubMed CAS Google Scholar
Szybalski, W. (1999). Maintenance of Human, Animal, and Plant Pathogen Vectors, edited by K. Maramorosch & F. Mahmood, pp. 161–180. Enfield, USA: Science Publishers. Google Scholar
Tarasevich, I., Rydkina, E. & Raoult, D. (1998). Lancet, 352, 1151. Web of Science CrossRef PubMed Google Scholar
Tasdemir, D., Lack, G., Brun, R., Rüedi, P., Scapozza, L. & Perozzo, R. (2006). J. Med. Chem. 49, 3345–3353. Web of Science CrossRef PubMed CAS Google Scholar
Tegos, G., Stermitz, F. R., Lomovskaya, O. & Lewis, K. (2002). Antimicrob. Agents Chemother. 46, 3133–3141. Web of Science CrossRef PubMed CAS Google Scholar
Wilson, R. J. (2002). J. Mol. Biol. 319, 257–274. PubMed CAS Google Scholar
Winn, M. D. et al. (2011). Acta Cryst. D67, 235–242. Web of Science CrossRef CAS IUCr Journals Google Scholar
Zhang, Y.-M. & Rock, C. O. (2004). J. Biol. Chem. 279, 30994–31001. Web of Science CrossRef PubMed CAS Google Scholar
Zhang, Y.-M., White, S. W. & Rock, C. O. (2006). J. Biol. Chem. 281, 17541–17544. Web of Science CrossRef PubMed CAS Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.