key: cord-0982742-qvc6so93
authors: Dinesh, Dhurvas Chandrasekaran; Chalupska, Dominika; Silhan, Jan; Koutna, Eliska; Nencka, Radim; Veverka, Vaclav; Boura, Evzen
title: Structural basis of RNA recognition by the SARS-CoV-2 nucleocapsid phosphoprotein
date: 2020-12-02
journal: PLoS Pathog
DOI: 10.1371/journal.ppat.1009100
sha: 1cdf3e9a0f60b5ef0e03c1472275589dcb4ed490
doc_id: 982742
cord_uid: qvc6so93

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the coronavirus disease 2019 (COVID-19). SARS-CoV-2 is a single-stranded positive-sense RNA virus. Like other coronaviruses, SARS-CoV-2 has an unusually large genome that encodes four structural proteins and sixteen nonstructural proteins. The structural nucleocapsid phosphoprotein N is essential for linking the viral genome to the viral membrane. Both N-terminal RNA binding (N-NTD) and C-terminal dimerization domains are involved in capturing the RNA genome and, the intrinsically disordered region between these domains anchors the ribonucleoprotein complex to the viral membrane. Here, we characterized the structure of the N-NTD and its interaction with RNA using NMR spectroscopy. We observed a positively charged canyon on the surface of the N-NTD that might serve as a putative RNA binding site similarly to other coronaviruses. The subsequent NMR titrations using single-stranded and double-stranded RNA revealed a much more extensive U-shaped RNA-binding cleft lined with regularly distributed arginines and lysines. The NMR data supported by mutational analysis allowed us to construct hybrid atomic models of the N-NTD/RNA complex that provided detailed insight into RNA recognition.

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The current COVID-19 pandemic is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) of the Coronaviridae family [1] . The SARS-CoV-2 virus has already infected more than eight million people and caused the death of hundreds of thousands, overwhelming the global health care system capacity, disrupting our everyday lives and causing enormous economic damage that could develop into a deep economic crisis [2] . It also reminds us of the vulnerability of our civilization, characterized by high population density and intercontinental travel, to pathogens.

Like other coronaviruses, SARS-CoV-2 has an unusually large genome (29.8 kb) for a +RNA virus that encodes four structural proteins-the membrane (M), small envelope (E), spike (S) and nucleocapsid phosphoprotein (N)-and sixteen nonstructural proteins (nsp1-16) [3, 4] . The nonstructural proteins bear all of the different types of enzymatic activity important for the viral proliferation, mostly associated with RNA replication. The SARS-CoV-2 genome also encodes an RNA-dependent RNA-polymerase complex (nsp7, nsp8 and nsp12), RNA capping machinery (nsp10, nsp13, nsp14 and 16) and additional enzymes such as proteases (the nsp3 PL pro and the nsp5 3CL pro ) which cleave viral polyproteins and/or impede innate immunity [4] . The four structural proteins together with the viral +RNA genome and the envelope constitute the virion. The membrane (M), small envelope (E), and spike (S) proteins are embedded within the lipid envelope [5] . The fourth structural protein, the nucleocapsid phosphoprotein (N), physically links the envelope to the +RNA genome, interacts with the endodomain of the viral membrane protein M [6] and plays a central role in the packaging signal RNA recognition and subsequent RNA encapsidation [7, 8] . It consists of an N-terminal (NTD) and a C-terminal (CTD) domain (Fig 1) that are both capable of RNA binding. In addition, the CTD serves as a dimerization domain and the intrinsically disordered region (IDR) between the domains interact with the matrix protein forming the physical link between the +RNA genome and envelope. The SARS-CoV N protein has also been shown to modulate the host intracellular machinery and plays regulatory roles during the viral life cycle [9] . In light of the genomic similarities between SARS-CoV and SARS-CoV-2, it is reasonable to expect the SARS-CoV-2 N protein to function analogously.

All the SARS-CoV-2 enzymes are potential drug targets [10] and a detailed understanding of their functions is of the utmost importance. Recently, remdesivir, an RdRp inhibitor was approved by the FDA as an emergency treatment for severe COVID-19 cases. Remdesivir is a nucleotide analog, however, unlike most RNA viruses, SARS-CoV-2 encodes an exonuclease (a second enzymatic activity of the RNA capping factor nsp14) presumably capable of repairing mismatches in the newly synthesized double-stranded RNA. Additional antiviral compounds might be necessary to simultaneously target several viral proteins and create a trap that the virus cannot escape by mutation. In any case, drugs targeting proteins other than the RNA polymerase are urgently needed. In this study, we have analyzed in detail the structure of the N protein NTD (N-NTD) and its interaction with RNA using protein NMR. We combined the experimental data with computer simulations and devised a hybrid atomic model of the N-NTD and its complex with RNA that illustrates how the N protein recognizes single-and double-stranded RNA and reveals an RNA-binding groove that could serve as a pocket for inhibitor design. core region adopts a five-stranded U-shaped right-handed antiparallel β-sheet platform with the topology β4-β2-β3-β1-β5 that is flanked by two short α-helices (α1 before β2 strand the and α2 after β5). A prominent feature is a large protruding loop between β2-β3 that forms a long basic β-hairpin (β2' and β3') (Fig 2) . This long β-hairpin reminds a finger and is composed mostly of basic amino acid residues therefore we refer to it as a basic finger (Fig 2C) . This basic finger is extending from the β-core structure that we further refer to as a palm. The analysis of electrostatic potential reveals a highly positively charged cleft between the basic finger and the palm creating the putative RNA binding site in the hinge/junction region between the palm and the basic finger in agreement with previous studies on other coronaviral N proteins [11] [12] [13] [14] . Our NMR analysis is also consistent with the recent X-ray analysis (PDB IDs: 6M3M, 6VYO and 6WKP, S1 Fig) [15] . In addition, the NMR structure revealed that the basic finger is highly flexible (Figs 2A and S1 ) whereas in the crystal structures it is locked in one place by crystal lattice contacts.

Analysis of the surface electrostatic potential revealed a basic patch extending between the finger and the palm of the N-NTD suggesting a putative RNA binding site. We aimed to obtain 

RNA recognition by the SARS-CoV-2 nucleocapsid phosphoprotein experimental evidence of RNA binding to this site. We performed an NMR-based titration experiment using two single-stranded RNA (ssRNA) variants and a short double-stranded RNA (dsRNA). The 7mer (5'-CUAAACG-3') and the 10mer (5'-UCUCUAAACG-3') oligonucleotides were derived from the 5' untranslated region of the genomic SARS-CoV-2 RNA containing transcriptional regulatory sequence [16] , while the dsRNA was a randomly chosen sequence stabilized by a G-C pair at both ends of the duplex (5'-CACUGAC-3' and 5'-GUCA-GUG-3'). Basically, we were adding isotopically unlabeled RNA variants to the 15 N/ 13 C labeled protein and we followed changes in positions of the assigned signals in the NMR spectra ( Fig  3) to reveal the molecular interface of the N-NTD:RNA complex. The high quality of the NMR data allowed for the unambiguous assignment of the arginine side-chain (NH ε ) groups that were used together with the protein backbone amide signals for monitoring of RNA binding. Overlay of the 2D 15 N/ 1 H HSQC spectra of a free and RNA bound N-NTD revealed residues that were significantly perturbed by RNA interaction (S2 Fig) . Both 7mer and 10mer ssRNA variants affected the same N-NTD residues. The higher chemical shift perturbations observed for the 10mer oligonucleotide reflect the increased affinity towards longer RNA. The significantly perturbed residues (L56, G60, K61, K65, F66, A90, R93, I94, R95, K102, D103, L104, T165, T166, G175 and R177) formed a U-shaped binding epitope on the N-NTD surface circumventing the base of the positively charged finger. The binding of dsRNA variant significantly affected residues A50, T57, H59, R92, I94, S105, R107, R149 and Y172 that are distributed in the basic finger or close to the junction between the basic finger and the palm as expected based on the analysis of the electrostatic potential. 

Next, we used the experimental data to build an atomic model of the protein:RNA complex. We used the HADDOCK protocol for the NMR-restraint driven docking simulations [17] of the relatively rigid dsRNA. However, this protocol did not yield satisfactorily converged structures for the complex formed by the highly flexible ssRNA oligonucleotide, as it could not be driven by ambiguous restraints to fully occupy the experimentally determined binding cleft. Therefore, we opted for an alternative real-time molecular dynamics simulation of the complex in YASARA [18] using NMR-derived distance restraints. For the HADDOCK simulation, we choose a short double helix based on the published crystal structure template of a short native RNA duplex [19] as a starting conformation of the dsRNA. Detailed analysis of the chemical shift perturbations (CSP) (Fig 3A) visualized on the solution structure obtained for N-NTD provided a set of 'active' solvent-accessible residues on N-NTD that were expanded for surrounding 'passive' residues. The selection criteria for active residues were that their CSP values were higher than 1.5x's the standard deviation calculated for the entire set of CSPs and more than 20% solvent accessibility [20] . The restraints for the dsRNA molecule were kept ambiguous to avoid potential bias. The standard docking protocol yielded a set of water-refined conformations for the protein:dsRNA complex that were clustered into several distinct classes. As expected, the RNA duplex molecule was bound in the positively charged cleft in all the clusters ( Fig 3B) . The most populated cluster was also providing the least violations of experimental restraints and therefore it was selected as a representative conformation for the N-NTD:dsRNA complex. For the YASARA simulation of the N-NTD:ssRNA complex, we generated a network of distance restraints between the positively charged groups of the protein perturbed residues and negatively charged ssRNA backbone phosphate groups. Interestingly, the length of the Ushaped binding epitope outlined by NMR titrations is~50Å, which corresponds to the length of the ssRNA-10mer molecule. In addition, detailed analysis of the perturbation data shown that the end of the binding cleft close to the N-terminus of N-NTD is formed by a positively charged lysine at position 65 that could form an electrostatic interaction with the 5'-end of ssRNA, while the opposite end of the cleft is mostly hydrophobic. The initial energy minimization was followed by 100 ns of molecular dynamics in the presence of intermolecular distance restrains that provided the final structure for the N-NTD:ssRNA complex (Fig 3B and 3C ).

Our structural analysis revealed that both an RNA duplex and ssRNA bind in a similar manner to the positively charged canyon located between the basic finger and the palm of the N-NTD. The profound feature of the binding interface is its electrostatic potential. It is highly positive with several arginine residues (R92, R107 and R149) that directly bind the RNA. For the HCoV-OC43 N-NTD it was reported that R106, R107 and R117 (corresponding residues in SARS-CoV-2 are R92, R93 and K102) contribute to RNA binding while K110 (R95 in SARS CoV-2) does not [21] which is also predicted by our hybrid model. A study using the HCoV-NL63 N protein tested seven mutants and reported that all tested residues (Q59, R61, R63, K75, K77, R116, K121) contribute to RNA binding (these experimental data suggest somewhat different binding mode for HCoV-NL63 and HCoV-OC43 N-NTDs) [22] . The corresponding residues in SARS-CoV-2 are A90, R92, R95, R107, Y109, R149 and N154. For these our hybrid model predicts that A90 and R95 do not interact with RNA. We also did not observe any chemical shifts for R149 and N154 suggesting no interaction with RNA, however, here we cannot exclude that we would observe binding if we would use longer than 10mer RNA. Our model also explains the unspecific nature of N-NTD:RNA interaction. The N-NTD virtually only interacts with the RNA backbone while the bases are, in the case of ssRNA flipped away from the protein, or, in the case of dsRNA involved in base pairing but do not interact with the N-NTD domain (Fig 3B) .

RNA recognition by the SARS-CoV-2 nucleocapsid phosphoprotein

We used an RNA binding assays to gain a deeper insight into the interaction of the N-NTD with RNA. We titrated hexachlorofluorescein labeled ssRNA using the N-NTD domain and monitored the increase of fluorescence anisotropy. The RNA binding assay revealed that the wild type N-NTD binds the RNA with a K d of 8.3 ± 0.8 μM (Fig 4A) under physiological salt concentration which is comparable to values previously obtained for nucleic acid binding (both RNA and DNA) of other coronaviral N-NTDs that were also reported to be in the low micromolar range [16, 23, 24] . The binding is strongest in a low salt (50 mM NaCl) buffer (K d < 1 μM) and very weak (K d > 400 μM) in high salt buffer (500 mM) illustrating the electrostatic nature of RNA binding by the SARS-CoV-2 N-NTD (S4 Fig). 

We used a structure-inspired mutational analysis to validate our model, first we selected two conserved arginine residues (R92 and R107, Fig 4B) that participate in the hydrogen bond network with RNA and we mutated them to charge swapping glutamate residues. Both mutants, R92E and R107E, showed essentially no binding to RNA (K d > 400 μM) (Fig 4A, R92E and R107E panels). We noticed a negatively charged residue E174 that is located in close proximity to the RNA backbone and we also prepared a charge switch mutant, in this case E174R. This mutant showed almost an order of magnitude improvement in the RNA binding affinity (K d = 1.2 ± 0.1 μM) presumably via electrostatic interaction as we introduced an additional positive charge near the RNA backbone (Fig 4A, E174R panel) . To further validate our model, we also mutated two residues that according to our data moderately contribute to RNA binding to alanine residues (I94A and Y172A) which lead to a slight decrease of RNA binding affinity (K d = 19.5 ± 3.5 and 19.6 ± 7.1 μM, respectively; Fig 4A, I94A and Y172A panels) . In contrast to that, the mutation of residues that are according to our structural data not involved in the RNA binding (R68 and Q163) did not affect the RNA binding affinity (K d = 9.1 ± 1.6 and 12.9 ± 2.4 μM, respectively; Fig 4A, R68E and Q163A panels).

Effective drugs are urgently needed to combat the COVID-19 disease. Most patients are not given any drug and the treatment relies on curing the symptoms. The most promising drug is remdesivir, a nucleotide analog that targets the viral RNA-dependent RNA-polymerase (RdRp). Viral polymerases are certainly good targets for antiviral compounds because these enzymes are absolutely vital for any +RNA virus. However, every viral enzyme is a potential target for antiviral compounds and an effective treatment may require several active compounds, each targeting a different protein at the same time. This approach, known as HAART (highly active antiretroviral therapy), has proven effective in the case of HIV, which is another virus with an RNA genome. In this study, we obtained a molecular snapshot of RNA recognition by the coronaviral N protein that revealed a deep charged canyon located in the interface of the basic finger and the palm that could be potentially used as a target for intervention by small molecules, albeit targeting structural proteins is always more difficult than targeting enzymes and the N-NTD is especially difficult target given its extensive surface area of the binding site.

Specifically, we obtained a hybrid atomic model of the N-NTD domain in complex with single-stranded and double-stranded RNA using computer simulations restrained by NMR data (chemical shift perturbations of backbone and side-chain amides upon RNA binding). The structure revealed a right-hand fold featuring a prominent basic finger protruding from the palm. Analysis of its electrostatic potential (Fig 2C) 

RNA recognition by the SARS-CoV-2 nucleocapsid phosphoprotein canyon that is situated in the interface between the basic finger and the palm subdomain and constitutes a putative RNA binding site as was observed before for other related coronaviruses [11] [12] [13] [14] . We performed an NMR titration experiment to obtain experimental proof of the RNA binding site. An overlay of the 15 N/ 13 C labeled protein NMR spectrum in the absence of ligand and in complex with RNA revealed amino acid residues with large chemical shifts upon the addition of RNA (Figs 3 and S2) . Not surprisingly, all these residues are located in or in close proximity to the basic canyon, confirming the canyon as the RNA binding site. To illustrate how the coronaviral N-NTD recognizes RNA we built an atomic model of the N-NTD: RNA complex using the NMR titration data as an experimental restraint for computer simulations. The model reveals an unexpectedly large hotspot on the surface of the N-NTD spanning from the shallow pocket close to the N-terminus through the cleft between the finger and palm subdomains to the pocket next to the C-terminus. In order to satisfy all electrostatic contacts within the U-shaped binding interface, the ssRNA molecule forms essentially a half-turn, that might be the seeding step for the higher-order supercoil structure formation in the context of the multiple copies of the dimeric full length nucleocapsid phosphoprotein.

DNA with coding sequence for SARS-CoV-2 N-NTD (residues 44-180) was obtained as an artificial gene (Thermo Scientific), cloned to pHIS-Parallel2 and expressed as a fusion protein with 6×His tag followed by cleavage site for TEV protease on its N-terminus. Escherichia coli BL21(DE3) expressing the protein minimal media containing 15 NH 4 Cl and [U-13 C]glucose (for NMR experiments) in 37˚C and 220 rpm until OD 600 reached 0.6. Then the expression was induced by adding 0.5 mM IPTG and the culture was further incubated shaking (220 rpm) for 16 h at 18˚C. The cells were centrifuged (5000×g, 10 min, 4˚C) and the pellet was lysed by sonication in lysis buffer (50 mM Tris pH 8.0, 500 mM NaCl, 20 mM imidazole, 10% glycerol, 3 mM β-mercaptoethanol) and the lysate was cleared by centrifugation (30000×g, 20 min, 4˚C). His-tagged protein was purified from the supernatant by affinity chromatography on a Nickel-NTA (Machery-Nagel) according to the manufacturer's instructions, 6×His tag was cut off by TEV protease (1 μg of TEV added to 40 μg SARS-CoV-2 N-NTD and dialysed to lysis buffer at 4˚C for 16 h). Protein sample was then passed through Nickel-NTA to remove the 6×His tag and uncut protein. The protein for NMR experiments was further purified by size-exclusion chromatography on a Superdex 75 HiLoad 26/60 column (GE Healthcare, USA) in buffer containing 20 mM Na 2 HPO 4 , 50 mM NaCl, 0.01% NaN 3 , pH 5.5. Purity of the protein was checked using SDS-PAGE. Protein was concentrated to 1.19 mM and used for NMR. For further NMR measuring of binding RNA, protein was diluted to 300 μM and flash frozen in liquid nitrogen and stored at -80˚C.

To examine the RNA binding mode of the N-NTD we used ssRNA 7mer (5'-CUAAACG-3') and 10mer (5'-UCUCUAAACG-3') and dsRNA that was prepared by annealing of 7mer For fluorescence anisotropy assays, the protocol for expression and purification of SARS--CoV-2 N-NTD wild type and all mutants was the same as for the protein used for NMR, except the expression medium was LB medium and size-exclusion chromatography buffer was 10 mM Tris pH 8.0, 150 mM NaCl, 3 mM β-mercaptoethanol. Pure proteins were concentrated to~2 mM.

NMR spectra were acquired at 25˚C on an 850 MHz Bruker Avance spectrometer, equipped with a triple-resonance ( 15 N/ 13 C/ 1 H) cryoprobe. The sample volume was either 0.16 or 0.35 mL, in SEC buffer, 5% D 2 O/90-95% H 2 O. A series of double-and triple-resonance spectra [25, 26] were recorded to obtain sequence-specific resonance assignment. We used the I-PINE assignment tool [27] implemented in NMRFAM-SPARKY [28] for initial automatic assignment. 1 H-1 H distance restraints were derived from 3D 15 N/ 1 H NOESY-HSQC and 13 C/ 1 H NOESY-HMQC, which were acquired using a NOE mixing time of 100 ms.

Structural calculation was carried out in CYANA [29] using NOESY data in combination with backbone torsion angle restraints, generated from assigned chemical shifts using the program TALOS+ [30] . First, the combined automated NOE assignment and structure determination protocol (CANDID) was used for automatic NOE cross-peak assignment. Subsequently, five cycles of simulated annealing combined with redundant dihedral angle restraints were used to calculate a set of converged structures with no significant restraint violations (distance and van der Waals violations < 0.5Å and dihedral angle constraint violations < 5˚). The 40 structures with the least restraint violations were further refined in explicit solvent using the YASARA software with the YASARA forcefield [18] and subjected to further analysis using the Protein Structure Validation Software suite (www.nesg.org). The statistics for the resulting structure are summarized in Table 1 . The structures, NMR restraints and resonance assignments were deposited in the Protein Data Bank (PDB, accession code: 6YI3) and BMRB (accession code: 34511).

To follow changes in the chemical shifts of a protein upon RNA binding, we calculated chemical shift perturbations (CSPs). The CSP of each assigned resonance in the 2D 15 N/ 1 H HSQC spectra of the protein in the free state was calculated as the geometrical distance in ppm to the peak in the 2D 15 N/ 1 H HSQC spectra acquired under different conditions using the formula: Dd ¼ ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi ffi Dd H 2 þ ðDd N � aÞ 2 q , where α is a weighing factor of 0.2 used to account for differences in the proton and nitrogen spectral widths [31] .

The structure of the N-NTD in complex with the 7mer RNA duplex was calculated using HADDOCK [17] . The RNA homology model was prepared by mutating the native 7mer RNA duplex (PDB 4U37) [19] in Pymol (The PyMOL Molecular Graphics System, Version 2.0 Schrödinger, LLC.) that was subsequently subjected to an energy minimization in YASARA [18] . For the actual docking, we used a representative structure from the set of obtained structures and followed a standard protocol. As active were selected those N-NTD residues with CSP > 0.05 ppm and at least 20% solvent accessibility (A50, T57, H59, R92, I94, S105, R107, R149, A152 and Y172), while as passive were additionally selected adjacent solvent exposed residues (T49, T54, L55, R88, A90, K102, L104, Y109, Y111, P151, A155, A156, E174 and G175). On the RNA side, all 14 nucleobases were defined as active for the experimentally driven docking protocol. In addition, in all three regions within the N-NTD were defined as fully flexible segments for the advanced stages of the docking calculation (the N-terminal

RNA recognition by the SARS-CoV-2 nucleocapsid phosphoprotein G1-T9, the central loop I54-M61 and the C-terminal S136-S140). The final set of 200 waterrefined structures was clustered using a Fraction of Common Contacts approach [32] with a default cut-off 0.75 and a minimal cluster size = 4. The resulting structures were sorted into 7 clusters and the most populated cluster (n = 30) that also exhibited the lowest interaction energy was selected for detailed analysis. The structure of the N-NTD in complex with the ssRNA-10mer was calculated in YASARA [18] . The significantly perturbed backbone amide groups from residues (CSP > 0.06 ppm) N47, S51, F53, L56, G60, K61, K65, F66, A90, R93, I94, R95, G97, D98, K100, K102, D103, L104, G129, R149, A152, A156, I157, L159, Q160, T165, T166, L167, Y172, G175 and R177 outlined the U-shaped binding epitope for the ssRNA-10mer molecule. In addition, the signal from arginine side-chain NH ε groups were significantly perturbed for residues 88, 89, 92 and 177 but remained at their original positions for 68, 93, 95. We combined this information in generating the inter-molecular distance restraints used in YASARA docking calculation that consisted of an initial energy minimization followed by a 100 ns of molecular dynamics using the default md_fast.mrc macro. The 3.9 Å upper distance limits were set between K65 NZ-U1 P, K61 NZ-U2 P, R88 NH1 -U5 P, R89 NH1 -U4 

RNA recognition by the SARS-CoV-2 nucleocapsid phosphoprotein P, R92 NH1 -A6 P, K102 NZ-A7 P, R107 NH1 -A8 P, T166 CG2 -G10 C5, and R177 NH1 -C9 P and R177 NH2 -C10 P.

The binding of wild type and all mutants of the SARS-CoV-2 N-NTD (residues 44-180) to RNA was measured using fluorescence anisotropy [33] . Briefly, fluorescently labeled RNA (UCUCUAAACG labeled with 5'-hexachlorofluorescein) was ordered from Sigma. The measurement was performed on an FluoroMax-4 spectrofluorometer (Horiba Scientific). The excitation wavelength was set to 538 nm and the emission wavelength to 553 nm. The concentration of RNA was 100 nM in the binding buffer (10 mM Tris pH 8.0, 150 mM NaCl, 3 mM β-mercaptoethanol) and the protein was titrated in the concentration range from 0 to 0.4 mM. The data were fitted in GraphPad Prism 8.4.2 using the One site-Total binding model.

The protein sequences of N-NTD sequence from selected closely and distantly related to SARS- 

All structural figures were prepared using PyMOL v2.3.5 (The PyMOL Molecular Graphics System, Schrödinger LLC, pymol.org).

The NMR restraints, resonance assignments and the structure of the unliganded SARS-CoV-2 were deposited in the PDB under accession code 6YI3 and in the BMRB database under accession code 34511). The SARS-CoV-2 N-NTD in complex with the 7mer dsRNA under PDB accession code 7ACS and the complex with 10mer ssRNA under PDB accession code 7ACT. 

Coronaviridae Study Group of the International Committee on Taxonomy of V. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2

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We are grateful to Edward Curtis and Michael Downey for critical reading of the manuscript.

RNA recognition by the SARS-CoV-2 nucleocapsid phosphoprotein