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Nucleic Acids Research logoLink to Nucleic Acids Research
. 2017 Mar 21;45(9):5586–5601. doi: 10.1093/nar/gkx186

Insights into Watson–Crick/Hoogsteen breathing dynamics and damage repair from the solution structure and dynamic ensemble of DNA duplexes containing m1A

Bharathwaj Sathyamoorthy 1,2, Honglue Shi 2, Huiqing Zhou 1, Yi Xue 1,2, Atul Rangadurai 1, Dawn K Merriman 2, Hashim M Al-Hashimi 1,2,*
PMCID: PMC5435913  PMID: 28369571

Abstract

In the canonical DNA double helix, Watson–Crick (WC) base pairs (bps) exist in dynamic equilibrium with sparsely populated (∼0.02–0.4%) and short-lived (lifetimes ∼0.2–2.5 ms) Hoogsteen (HG) bps. To gain insights into transient HG bps, we used solution-state nuclear magnetic resonance spectroscopy, including measurements of residual dipolar couplings and molecular dynamics simulations, to examine how a single HG bp trapped using the N1-methylated adenine (m1A) lesion affects the structural and dynamic properties of two duplexes. The solution structure and dynamic ensembles of the duplexes reveals that in both cases, m1A forms a m1A•T HG bp, which is accompanied by local and global structural and dynamic perturbations in the double helix. These include a bias toward the BI backbone conformation; sugar repuckering, major-groove directed kinking (∼9°); and local melting of neighboring WC bps. These results provide atomic insights into WC/HG breathing dynamics in unmodified DNA duplexes as well as identify structural and dynamic signatures that could play roles in m1A recognition and repair.

INTRODUCTION

Soon after the discovery of the double helix (1), a crystal structure of 9-methyladenine and 1-methylthymine revealed an unusual pairing now referred to as a ‘Hoogsteen’ (HG) base pair (bp) (2) in which the purine base was flipped 180° to adopt a syn conformation forming a unique set of hydrogen bonds that bring the paired bases into closer proximity by ∼2.0–2.5 Å (Figure 1A). In the ensuing years, A(syn)•T and analogous G(syn)•C+ HG bps (Figure 1A) continued to surface (reviewed in (3)) in X-ray structures of AT-rich sequences that form duplexes entirely composed of HG bps (47); in structures of DNA bound to small molecules (812) and proteins (1315) where HG bps contribute to DNA recognition; and in DNA duplexes bearing lesions such as N2-propanoguanine (16,17), 1,N2-ethylguanine (18), N1-methyladenine (m1A) (1922) where they are speculated to contribute toward damage accommodation (19,23,24), recognition (23) and repair (25). In addition, there is now strong evidence that some members of the Y-family low fidelity polymerases replicate DNA using HG pairing as a means of bypassing lesions on the Watson-Crick (WC) face during replication (2629).

Figure 1.

Figure 1.

(A) Watson–Crick (WC) base pairs (bps) exists in dynamic equilibrium with transient low-abundance Hoogsteen (HG) bps through flipping of the purine base 180° about the glycosidic bond from anti to syn conformation. This is also accompanied by a net reduction of C1΄–C1΄ distance by ∼2.0–2.5 Å. Shown are the average populations (pWC/pHG) for WC and HG bps as measured by nuclear magnetic resonance (NMR) relaxation dispersion (RD) methods (33,35). (B) m1A stabilizes HG bp due to steric clash between the methyl group at m1A-N1 position and T-H3. Nuclear Overhauser effect (NOE) distance connectivity between complementary nucleotides that help in distinguishing HG, WC and reverse-HG pairing modes are indicated using arrows. (C) A2- and A6-DNA duplexes used in this study. (D) 1D imino 1H spectra of A2-DNA (green), A2-DNAm1A16 (orange), A6-DNA (red) and A6-DNAm1A16 (blue). Spectra for for A2-DNA/A6-DNA and A2-DNAm1A16/A6-DNAm1A16 were recorded at 25 and 9°C, respectively. Sites experiencing exchange broadening are denoted with an asterisk (*). (E) T9-H3–A16-H8, T9-H3–A-H62 and T9-H7–A-H62 NOE connectivity distinguishes the formation of HG bp from other pairing modes in A6-DNAm1A16 (19) (see Supplementary Figure S3 for A2-DNAm1A16). Sequential imino NOEs between T9-H3 with T8-H3 and G10-H1 indicate the formation of a stable duplex.

Recently, studies based on nuclear magnetic resonance (NMR) relaxation dispersion (RD) (3032) showed that in the canonical DNA double helix, A–T and G–C WC bps exist in dynamic equilibrium with shorter lived (lifetimes of 0.2–2.5 ms) and more sparsely populated (∼0.02–0.4%) HG counterparts (3335) (Figure 1A). Dynamic transitions toward HG bps occur ubiquitously across a wide range of sequences and positional contexts (35). The abundance and lifetimes of transient HG bps strongly depend on sequence (∼10-fold variations), tending to be more populated and longer lived in unstable dinucleotide steps (35). WC-HG breathing defines a new form of duplex DNA dynamics that could play important roles in DNA biochemical processes. For example, it was recently proposed that WC-HG breathing dynamics can explain how amino nitrogen groups of cytosine in duplex DNA become accessible to hydroxymethylation by formaldehyde, a byproduct of oxidative damage (36).

There are presently no high-resolution structures for transient HG bps in canonical duplex DNA. Therefore, it remains unclear if and how dynamic changes in base pairing affect other structural features of the DNA double helix. Some insights into the potential consequence of HG bps on duplex DNA structure can be obtained from analysis of X-ray and NMR structures of duplex DNA bound to proteins (1315) and small molecules (812); or containing chemically modified nucleotides trapped in HG configurations (1620,3739). A recent survey of these structures revealed major-groove directed local kinking at the HG bp along with local backbone perturbations in the neighboring WC bps (40). While this raises the possibility that transient HG bps are coupled to transient kinking of the double helix, one cannot rule out that inter-molecular interactions in these complexes or crystal packing forces also contribute to the observed structural perturbations (40). It is therefore of interest to characterize the structure and dynamic properties of HG bps in unbound DNA duplexes under solution conditions.

In this study, we used solution-state NMR, including measurements of residual dipolar couplings (RDCs) (4144), in concert with molecular dynamics (MD) simulations to examine how HG bps that are trapped using the lesion m1A affect the structural and dynamic properties of duplex DNA. m1A is a non-mutagenic cytotoxic DNA lesion that acts as a strong replication blocker (45). It is generated by external and endogenous alkylating agents that modify single- and double-stranded DNA (46). The N1-methyl group knocks out a WC H-bond and sterically destabilizes WC pairing (Figure 1B) (19,22,33,34). However, flipping of the adenine base by 180° about the glycosidic bond to adopt a syn rather than anti conformation allows formation of relatively stable HG bps (Figure 1B) (1921,33). Damage repair enzymes such as α-ketoglutyrate dependent dioxygenases (e.g. AlkB, ABH2, ABH3, etc.) repair m1A by flipping out of the modified base extrahelically into the catalytic domain of the enzyme for direct reversal repair (23,47,48).

Our results show that the trapped m1A•T HG bp induce local backbone perturbations as well as major-groove DNA kinking (by ∼9°) while partially destabilizing neighboring WC bps. These results provide new insights into WC-HG breathing dynamics as well as identify unique DNA signatures that may be employed during recognition and repair of m1A.

MATERIALS AND METHODS

Sample preparation

Unmodified DNA samples were purchased as single-stranded oligonucleotides from Integrated DNA Technologies with standard desalting purification. N1-methyladenosine-modified single-stranded DNA was obtained from Midland DNA Technologies with deprotection of groups performed under mildly basic conditions to avoid the Dimroth rearrangement (49). Samples were purified using reverse-phase HPLC. The DNA oligos were resuspended in water to a concentration of ∼500 μM and subsequently annealed by mixing an equimolar ratio of the complementary DNA single-strands, heating at 95°C for 10 min followed by gradual cooling at room temperature for 60 min. Duplexes were then washed four times in NMR buffer (15 mM sodium phosphate buffer pH 6.8, 25 mM NaCl, 0.1 mM ethylenediaminetetraacetic acid) by microcentrifugation using an Amicon Ultra-15 centrifugal filter with a 3-kDa cutoff, concentrated to 2–3 mM and ∼250–275 μl and then supplied with 10% D2O. For m1A-modified DNA duplexes, additional NMR resonances corresponding to m1A-modified single-strand were observed. These samples were titrated with their respective unmodified complementary single-strand until the single-stranded peaks disappeared, which was monitored using 2D aromatic [13C, 1H] SOFAST-HMQC (50). Pf1 phage ordering medium (51,52) (stock concentration 50–55 mg/ml) was purchased from ASLA Biotech Limited in the NMR buffer and was used without further purification. The DNA samples were concentrated to 2X and Pf1 phage co-solvent (final concentration ∼20–25 mg/ml) and D2O (final concentration 10%) added. The aligned samples yielded a 2H quadrupolar coupling splitting 2QHD ∼28–32 Hz.

NMR spectroscopy

Resonance assignments

The chemical shift assignments for all constructs were obtained using [15N, 1H] SOFAST-HMQC (53) (32/58 ms, 77 × 1024 real points), [13C, 1H] SOFAST-HMQC (50) (100/64 ms, 200 × 512), [13C, 1H] HSQC (54) (25/58 ms, 220 × 1024), [1H, 1H] TOCSY (54) (115 ms mixing time, 8 kHz spin-lock, 85/170 ms, 512 × 1024) and [1H, 1H] WATERGATE-NOESY experiment (54) (100, 150 and 200 ms mixing time, 43/89 ms, 750 × 1536, inter-scan delay 3 s). Splittings to measure RDCs were obtained using the 2D [13C, 1H] sugar (49/80 ms, 74 × 512) and aromatic (50/80 ms, 102 × 512) TROSY experiments (54) that yield individual multiplets for isotropic and phage-aligned samples. Data were obtained using 18.8 T Agilent spectrometer equipped with a DirectDrive 2 console and a triple-resonance HCN cryogenic probe. [1H, 1H] 3-9-19 WATERGATE DQF-COSY (54) (85/170 ms, 512 × 1024) and 2D [31P, 1H] HSQC (55) (198/107 ms, 48 × 1024) experiments were performed on 14.1 T Agilent spectrometer equipped with a Bruker HCPN cryogenic probe. Data were acquired at 25°C unless otherwise stated. 1H and 31P chemical shifts were referenced with external standards 50 μM 4,4-dimethyl-4-silapentane-1-sulfonic acid (DSS) and 85% phosphoric acid samples. All spectra were processed using NMRPipe (56) and were zero-filled appropriately to obtain high digital resolution for precise frequency and intensity measurements. Spectra were analyzed using the program SPARKY (T. D. Goddard and D. G. Kneller, SPARKY 3, University of California, San Francisco) and NMRFAM-SPARKY (57).

RDC measurements

RDCs were measured using two different frequency-domain experiments in which the splitting is encoded either along the 13C or 1H dimension in 2D TROSY spectra as described previously (58,59). The uncertainty in RDC measurement was estimated based on the root-mean-square-deviation (RMSD) difference between the two experiments (RMSD ∼ 2 Hz).

NMR data analysis

Chemical shift perturbations

Chemical shift perturbations for each residue (Δωresidue, in ppm) was calculated as described previously (22), Inline graphic, where N is the number of measurements per residue, γi and γH the gyromagnetic ratio of spin ‘i’ (1H, 31P, 13C or 15N) and proton and Δωi (in ppm) the chemical shift difference for spin ‘i’ observed between the unmodified duplex (A2- or A6-DNA) and the m1A16-modified duplex (A2- or A6-DNAm1A16).

Intensity measurements

Intensity measurements were performed using the 2D [13C, 1H] aliphatic and aromatic TROSY spectra acquired for all samples at 25°C as previously described (60,61). Intensity ratios were obtained from the ratio of signal-to-noise ratio (S/N) of each peak to the S/N of a reference helical residue in 2D [13C, 1H] aliphatic and aromatic TROSY spectra. The resonance intensities were then normalized with the reference residues set to 1.0 unit. Noise for S/N measurement was obtained from a representation 2D plane in the spectra that contained no peaks and was calculated using 2.5× the RMSD of this noise floor. Error for the normalized intensity was propagated using one S/N unit for each peak and the reference helix peak.

Analysis of NOESY spectra

2D NOESY experiments were acquired at three different mixing times (100, 150 and 200 ms) and the intensity from each experiment was calibrated using cytosine H5–H6 distance (2.45 Å) and thymine H7–H6 (3.00 Å) for methyl groups using the r–6 distance dependence. The distance extrapolation method (62) was then used to determine the inter-proton distance from the nuclear Overhauser effect (NOE) build-up curves at different mixing times to minimize the effects of spin-diffusion and more accurately determine the distances. NOE cross-peaks from m1A modified methyl group were also included in the structure refinement of A6-DNAm1A16.

Analysis of RDCs

Singular value decomposition implemented in the module calcTensor present in XPLOR-NIH was used to fit experimental RDCs to static structures of DNA. Sugar RDCs of A2-DNAm1A16, A6-DNA and A6-DNAm1A16 were normalized prior to comparison with A2-DNA. Normalized RDCs were obtained by scaling down the RDCs by a factor of 0.90, 0.85 and 0.90 for A2-DNAm1A16, A6-DNA and A6-DNAm1A16, respectively. This uniform factor was determined by minimizing the RMSD for the RDC datasets being compared.

Structure refinement

Structure refinement starting from an idealized B-form geometry was performed using XPLOR-NIH version 2.41 (63). Distances (251–284 in total) obtained from the NOESY spectra were used with a 15% (20–30%) tolerance for resolved (overlapped) cross-peaks. A total of 52–67 1DCH RDCs measured for sugar (18–20 C1΄-H1΄, 17–20 C4΄-H4΄) and base (25–29 C2-H2/C5-H5 and C6-H6/C8-H8) bond-vectors (excluding the terminal bps) were used for structure refinement. The experimental data were supplemented with 72 H-bond, 164 dihedral angle and 26 planarity constraints as described previously (64). For m1A•T HG bp H-bond distances were set to the average values calculated for HG bps in crystal structures: A-N7•T-N3 2.86 Å; A-N7•T-H3 1.89 Å; A-N6•T-O4 1.87 Å; A-H8•T-O2 2.81 Å; A-N7•T-O4 3.75 Å; A-N7•T-O2 3.46 Å; with a uniform ±0.4 Å distance tolerance). The χ dihedral angle for m1A16 was set to 61° ± 40° (±180° from anti conformation dihedral of −119°) in order to satisfy the syn conformation. Planarity constraints were modified for the m1A•T HG bp, such that m1A-N7/C5/C8 atoms remain in plane instead of the default A-N1/C6/C2 atoms for a WC bp.

Force-field parameters for the m1A group were adapted from the preexisting parameters from the XPLOR-NIH library and the net total charge of +1 was conserved within the modified adenine group (see Supplementary Data). Simulated annealing was performed with force constants for NOEs and RDCs set to 50 kcal Å−2 and 0.3 kcal Hz−2, respectively. The amplitude (Da) and the rhombicity (Rh) of the alignment tensor were arrayed between the values 10–50 units and 0.025–0.400 units, respectively, and the refinement was performed with distance, dihedral angles, H-bond, planarity and RDCs restraints as described previously (65,66). Ten lowest energy structures that yield no NOE violations (>0.40 Å), dihedral angle violations (>6°) and RDC RMSD (<2.5 Hz) were selected for analysis. Overview of structure statistics can be found in supplementary information (Supplementary Table S1).

MD simulations

All simulations were performed using the AMBER ff99 force fields (67) with bsc0 corrections (68) and using standard periodic boundary conditions as implemented in the AMBER MD package (69). Starting structures for unmodified duplexes were obtained by generating idealized B-form duplexes using 3DNA (70). Starting structures for the corresponding m1A containing duplexes were constructed by superimposing the HG bp from lowest energy XPLOR structures of A6-DNAm1A16 onto the backbone of an idealized B-form double helix. The helices were then solvated using an truncated octahedral box of SPC/E (71) waters molecules, with box size chosen such that the boundary was at least 10 Å away from any of the DNA atoms. Na+ ions treated using the Joung Cheatham parameters (72) were then added to neutralize the charge of the system. The system was then energy minimized in two stages with the solute (excluding the HG bp) being fixed during the first stage. This was followed by gradual heating of the system (at constant volume) for 100 ps with harmonic restraints on the solute, to a temperature of 298 K. The system was then allowed to equilibrate for 1 ns followed by a production run of 1 μs with a time step of 2 fs. A Langevin thermostat (73) with a collision frequency of 3 ps−1 and a Berendsen barostat (74) with a time constant of 2 ps were used to maintain the temperature (298 K) and pressure (1 bar). The Particle mesh Ewald (PME) method (75) and a non-bonded cutoff of 9 Å were used to treat non-bonded interactions. A set of 10 000 equally spaced snapshots was used for subsequent analysis.

Ensemble determination

Sample and select

The ensembles were generated using the sample and select (SAS) approach as described previously (7678) using the same RDC dataset used for XPLOR structure determination. In the SAS approach, the measured RDCs are used to guide selection of conformers from a pool generated using MD simulations to construct an ensemble with size N that best satisfies the RDC data. A Monte Carlo sampling scheme was used to search for the ensemble that minimizes the differences between the measured RDCs and values back-calculated for a given trial ensemble using the program PALES (79). We have previously validated the use of PALES in the generation of nucleic acid ensembles (78). The initial effective temperature used in the Monte Carlo scheme was set to 1 K and decreased by multiplying a factor of 0.9 every 105 steps. Several SAS calculations were performed starting from sampling N = 1, and incrementally increasing the ensemble size until the RMSD agreement between predicted and measured RDCs was comparable to the combined RDC measurement and PALES prediction uncertainty (<2.5 Hz, Supplementary Figure S1). The optimal N values were 6, 10, 10 and 15 for A2-DNA, A2-DNAm1A16, A6-DNA and A6-DNAm1A16, respectively.

Cross-validation

Cross-validation was used to evaluate the accuracy of the determined ensemble as described previously (78). In this approach, 25% of the total RDCs data were removed from the SAS analysis; and the generated ensembles were evaluated based on their ability to predict the left-out RDCs data. This procedure was repeated four times and the resulting RDC RMSD was averaged.

Chemical shift prediction

Chemical shifts for H1΄, H2΄, H4΄, H1, H2, H3, H5, H6, H7# and H8 excluding 2 bp from each terminal end were computed for the generated ensembles using SHIFTS (80).

Testing ensemble determination using simulated data

We performed simulations, as described previously (78), to evaluate how well the measured RDC datasets can define specific structural features of interest in the ensembles. Three distinct ‘target’ ensembles (N = 2000) were generated from the A2-DNA MD pool (N = 10 000) using Gaussian probabilities (average ± standard deviation) as acceptance criteria (i) local inter-helical angles (vide infra) αh = −20° ± 30°; βh = 30° ± 8°; γh = 20° ± 30° at the A16–T9 junction bp (3D Gaussian) (ii) ε-ζ = −90° ± 150° at G10pG11 (1D Gaussian) (iii) T9 sugar phase angle = 60° ± 30° (1D Gaussian) (Supplementary Figure S2). Synthetic ensemble average RDCs datasets corresponding to the experimentally measured RDCs were computed for each ensemble using PALES. The synthetic RDCs were then noise corrupted (2.5 Hz) and used to perform SAS analysis (N = 2000) using the initial MD pool. The RDC-generated ensembles were then compared with the target ensembles (Supplementary Figure S2).

Ensemble NOE analysis

Average inter-proton distances were computed for a given ensemble and then compared to the experimentally derived distances. In this analysis, NOE-derived distances were used as an upper limit for the inter-proton distance rather than as a strict distance range between protons. Deviations from the NOE-derived upper limit distances that are farther by more than 0.4 Å were adjudged as a violation. Inter-atomic distances for each conformer were generated using an in-house python script.

Structure and ensemble analysis

Local torsion parameters

Base pair, step and helical parameters were computed for all residues except for HG bps (which change the reference frame) using X3DNA-DSSR (81) and groove widths using Curves+ (82).

Kinking and global bending

We used an Euler angle approach to quantify DNA kinking (40,83,84). Here, the two idealized B-form helices (H1 and H2) that are each 2 bps long are superimposed on the DNA structure immediately above and below a specific junction (J) bp. The resulting orientation of the two helices is then specified using three inter-helical Euler angles (αh, βh, γh) relative to a reference helix, in which the two helices are coaxially aligned in an idealized B-form geometry (40). The inter-helical Euler angle βh (0° ≤ βh ≤ 180°) defines the kink angle about the junction bp, while γh (−180° ≤ γh ≤ 180°) defines the directionality of kinking, with γh (−90° ≤ γh ≤ 90°) indicating major groove and γh (−180° ≤ γh ≤ −90° or 90° ≤ γh ≤ 180°) indicating minor groove directed kinking, respectively (40). The inter-helical Euler angles (αh, βh, γh) are then computed for various junction bps along the DNA (J varied from T4–A21 to T9–A16 1 bp at a time). Global bending analysis was performed with Curves+ excluding terminal bps. Euler angles were calculated with H1 and H2 being 2 bp each from the ends of the helix, with the intermediate 6 bp serving as the junction.

RESULTS

m1A forms a Hoogsteen base pair and induces duplex perturbations and micro-to-millisecond conformational exchange

We examined the impact of introducing single m1A nucleotide at the same position (A16) in two well characterized duplexes (33,34); A6-DNA contains a rigid and intrinsically bent A-tract (8590) while A2-DNA contains a more scrambled sequence (Figure 1C). Prior NMR studies of these unmodified duplexes showed that the A16–T9 WC bp transiently forms a HG bp with 2-fold greater abundance in A6-DNA (population ∼0.39 ± 0.02%) as compared to A2-DNA (population ∼0.17 ± 0.01%) (33). Examining the impact of m1A on the double helix structure for two distinct sequence contexts helps to assess the robustness of any observed perturbation.

NMR analysis reveals that m1A16 forms HG bps in both A6-DNAm1A16 and A2-DNAm1A16 while all remaining residues are WC consistent with previous studies (22,33) (Figure 1D and E; Supplementary Figure S3). The NMR evidence for m1A16•T9 HG bps includes significantly upfield shifted imino T9-N3/H3 resonances (11,19,22,33,34,91) (Figure 1D and Supplementary Figure S3); several inter-proton NOE distance connectivities (Figure 1E and Supplementary Figure S3) involving complementary (e.g. T9-H7# and m1A16-H62) and sequential (e.g. C15-H6–m1A16-H2) nucleotides that confirm HG and rule out reverse-HG pairing (19); and significantly downfield shifted (>3 ppm) m1A16-C8 (22,33) and m1A16-C1΄ (Figure 2A and D; Supplementary Table S2) along with strong intra-nucleotide m1A16-H1΄–H8 NOE cross-peaks that are consistent with a syn conformation for m1A16 nucleobase (Figure 1E and Supplementary Figure S3) (33,34). Interestingly, many of the base, sugar and backbone resonances belonging to m1A16•T9 HG bp resonances including T9 (H3), m1A (C2, C1΄, C2΄, C4΄), and backbone-31P (Figure 2C) are significantly broadened, indicating that the HG bp experiences conformational exchange at the micro-to-millisecond timescale (Figure 2A, C and E). This could reflect partial melting of the HG bp to form an open state or distorted WC-like bp (34).

Figure 2.

Figure 2.

(A) 2D [13C, 1H] HSQC spectra (54) acquired for A2-DNA (green), A2-DNAm1A16 (orange), A6-DNA (red) and A6-DNAm1A16 (blue) depicting the chemical shift perturbations in the C1΄-H1΄ region. Residues that remain unperturbed are labeled in black; colored labels are for the respective samples and exchange broadened resonances are indicated with an asterisk (*). (B) Chemical shift perturbations observed for sugar (circle) C1΄-H1΄ (blue), C2΄-H2΄/H2″ (red), C4΄-H4΄ (green), base (triangle) C6-H6/C8-H8 (black), N1-H1/C2-H2/N3-H3/C5-H5 (purple) and with backbone (P) 31P resonances in A2- and A6-DNA upon incorporation of m1A16 residue is shown. Residues that exhibit exchange broadening are indicated as open alphabets. (C) 2D [31P, 1H] HSQC (55) acquired for A2-, A6-DNA and their m1A16 counterparts are shown. Phosphorus atom shared between the residues ‘i’ and ‘j’ is given the label jP i.e. T9P indicates T8pT9. (D) Chemical shift perturbation quantitatively plotted as Δωresidue (see ‘Materials and Methods’ section) as a function of DNA sequence for A2- (orange) and A6-DNAm1A16 (blue). (E) Normalized resonance intensities (see ‘Materials and Methods’ section) measured in sugar C1΄-H1΄ (left) and base C6-H6/C8-H8 2D heteronuclear spectra for A2-DNA (green), A2-DNAm1A16 (orange), A6-DNA (red) and A6-DNAm1A16 (blue) as a function of residues, with regions highlighted in gray showing significant intensity perturbation.

m1A also induced significant chemical shift perturbations in the immediately neighboring bps (Figure 2 and Supplementary Table S2). These include up-field 31P perturbations (−0.10 to −0.17 ppm) at the complementary strand (T8pT9, T9pG10 and G10pG11) that suggest an increase in the BI population by ∼12–20% (92); and sugar perturbations (>0.5 ppm) at T9 (C4΄), A16 (C2΄) and A17 (C1΄) in A6-DNA and G10 (C2΄), C15 (C4΄) and A16 (C1΄, C4΄) in both duplexes that suggest changes in sugar pucker; as supported by 3JH1΄-H2΄ coupling constant measurements (Supplementary Table S3). Line-broadening is also observed at residues 3΄-end of m1A which are more significant in A2-DNAm1A16 as compared to A6-DNAm1A16 (Figure 2E). This could reflect increased WC-HG dynamics and/or partial melting of the WC bps. Interestingly, a prior X-ray structure shows that the m1A•T HG bp displaces the 3΄-end neighbor WC bp toward the major-groove while minimally affecting the 5΄-neighbor (21).

m1A•T Hoogsteen base pair perturbs the local and global structure of duplex DNA

To further characterize the impact of the m1A•T HG bp on both the local and global structural and dynamic properties of the DNA duplexes, we measured RDCs (4144) in A2- and A6-DNA and their m1A16 counterparts. RDCs provide long-range information regarding the orientation of individual 15N-1H and 13C-1H bond vectors relative to the principal axis system of an order tensor frame that is typically oriented along the long axis of the nucleic acid (4144,9395). RDCs have been used to determine high-resolution structures of RNA (58,9699) and DNA (65,66,88,89,100107). They are also sensitive to internal motions occurring over a broad range of timescales (from picoseconds up to milliseconds) that generally cause a reduction in the magnitude of the measured RDCs (41,43,107110). Bax et al. have previously demonstrated the utility of natural abundance RDC measurements to examine the perturbations induced by modifications that lock the sugar pucker in the less favored C2΄-exo configuration resulting in bending of the helix toward the major groove (106).

One-bond 13C-1H RDCs (1DCH) were measured at natural abundance at 25°C for bond vectors in sugar (C1΄-H1΄, C4΄-H4΄) and base (C2-H2, C5-H5, C6-H6, C8-H8) moieties as the difference between splittings measured in the presence (1DCH + 1JCH) and absence (1JCH) of 20–25 mg/ml of Pf1 phage (51,52). Due to severe line broadening and spectral overlap, it was not feasible to measure RDCs for A17 and T18 as well as for T8(C4΄-H4΄) and G10(C4΄-H4΄) in A2-DNAm1A16. In all cases, RDCs were measured in duplicate using TROSY-based experiments in which 13C-1H splittings are encoded either along the direct (1H) or indirect (13C) dimension (see ‘Materials and Methods’ section). A representative example showing the agreement (RMSD = 1.7–2.2 Hz) between the RDCs measured using these two approaches is shown in Figure 3A.

Figure 3.

Figure 3.

(A) Comparison of residual dipolar couplings (RDCs) measured by encoding C-H splittings along the 13C or 1H dimension. Shown is the root-mean-square-deviation (RMSD) and Pearson's correlation coefficient (R2). (B) Correlation plot between sugar RDCs measured in A2-DNA and 1DCH A6-DNA (blue/green) or A6-DNAm1A16 (red/black). The A6-DNA and A6-DNAm1A16 RDCs are normalized by scaling factors of 0.85 and 0.90 units, respectively, to account for differences in alignment. (C and D) Correlation plot between RDCs measured in unmodified and m1A16 modified duplexes: (C) A6-DNA versus A6-DNAm1A16 and (D) A2-DNA versus A2-DNAm1A16, with the different bond vectors colored as shown in the inset. The A2-DNAm1A16 data are normalized by scaling factor of 0.90 units to account for differences in alignment. (E) Best-fitting A6-DNAm1A16 RDCs to the refined A6-DNA structure and (F) A6-DNA RDCs to the refined A6-DNAm1A16 structure. Error bar denotes one-standard deviation in RDC measurement.

Significant differences (RMSD ∼ 6 Hz) are observed when comparing sugar RDCs measured in A2- and A6-DNA (note that comparison of base RDCs is not possible due to differences in sequence) (Figure 3B). These differences are not surprising given the unique structural features of the A-tract in A6-DNA (8590). Interestingly, significant differences (RMSD ∼ 6 Hz) are also observed when comparing RDCs measured in A2-DNA or A6-DNA and their m1A counterparts (Figure 3C and D). Large RDC differences (>6 Hz) are observed not only at the m1A•T HG bp, but also at neighboring residues, particularly at sugar bond vectors of T8(C4΄-H4΄), T9(C4΄-H4΄), G10(C4΄-H4΄), C15(C4΄-H4΄) and A18(C4΄-H4΄) in A6-DNAm1A16. Sizeable RDC deviations (>3 Hz) are also observed at sites >2 bp away from m1A site that show little to no chemical shift perturbations; this potentially implies changes in global structure. These results suggest that m1A primarily affects the local conformation of neighboring residues but leaves open the possibility that it also causes significant changes in global structure that affect RDCs measured at a distance.

Solution structure of DNA duplexes with and without m1A

To gain further insights into the structural changes accompanying formation of the m1A16•T9 HG bp, we solved the NMR solution structures (see ‘Materials and Methods’ section) of A2-DNA, A2-DNAm1A16, A6-DNA and A6-DNAm1A16 using the measured RDCs and NOEs, supplemented by H-bonding and dihedral angle constraints and the XPLOR-NIH program v 2.41 (63).

All four structures form a B-form double helix with bp parameters (shear, stretch, stagger, buckle, propeller twist, opening); backbone (α,β,γ,δ,ε,ζ,χ); and sugar (ν04) dihedral angles (70) that fall within the distributions of canonical B-form DNA duplexes (40) (Supplementary Figure S4). The A6-DNA structure (Figure 4A) captures well known A-tract features (An•Tn, n ≥ 4) (88,89,104), including the narrowing of the minor groove width (Supplementary Figure S5) and minor-groove directed bending on the order of ∼12° (Table 1 and Supplementary Figure S5), local kinking at 5΄-CAA junctions and lower kinking within the A-tract, and greater roll and inclination in 5΄-CAA junctions (Supplementary Figure S5) (88,89,104).

Figure 4.

Figure 4.

(A) Lowest energy conformers obtained from XPLOR refinement of idealized B-form DNA using experimental distance constraints and RDCs (see ‘Materials and Methods’ section) for A6-DNA (red, PDB ID: 5UZF, BMRB ID: 30254) and A6-DNAm1A16 (blue, PDB ID: 5UZI, BMRB ID: 30255). The single m1A•T HG bp is in gray for A6-DNAm1A16. (B) Cartoon representation of A6-DNA (red), A6-DNAm1A16 (blue), DNA-p53 (cyan) and MATα2-homeodomain (magenta) complexes depicting major-groove kinking at the HG bp. An idealized B-form DNA helix (in gray) is overlaid for reference (HG bps shown in orange). (C) Local kink angle (βh) as a function of the junction position and global bending calculated for A2-DNA (green), A6-DNA (red) and A6-DNAm1A16 (blue).

Table 1. Global bending and local kink angles determined using curves+ and Euler angles.

Global bending (°) Local kinking (βh, °)
Type Structure Curves+ 4–21 5–20 6–19 7–18 8–17 9–16
XPLOR structures A2-DNA 12 ± 1 16 ± 1 14 ± 1 7 ± 1 3 ± 2 5 ± 1 13 ± 1
A2-DNAm1A16 17 ± 4 9 ± 2 8 ± 2 4 ± 1 3 ± 1 12 ± 1 19 ± 1
A6-DNA 12 ± 2 2 ± 1 3 ± 1 3 ± 1 4 ± 1 7 ± 1 9 ± 1
A6-DNAm1A16 23 ± 1 7 ± 2 6 ± 0 8 ± 1 8 ± 0 18 ± 0 23 ± 0
RDC-selected ensembles A2-DNA 11 ± 5 21 ± 8 22 ± 6 21 ± 8 19 ± 10 19 ± 8 17 ± 7
A2-DNAm1A16 15 ± 8 23 ± 8 21 ± 7 18 ± 8 17 ± 9 22 ± 8 26 ± 9
A6-DNA 14 ± 8 11 ± 7 10 ± 6 12 ± 7 14 ± 9 17 ± 9 15 ± 8
A6-DNAm1A16 22 ± 10 12 ± 8 13 ± 8 13 ± 6 13 ± 7 18 ± 8 23 ± 10

Terminal bps were excluded for global bending analysis. Bold numbers indicate kinking at T9•A16 bp for the unmodified and the m1A modified site.

The structures of A6-DNA (PDB ID: 5UZF) and A6-DNAm1A16 (PDB ID: 5UZI) are well defined by the NMR data (Figure 4A); the bundle of lowest energy structures superimposed with all heavy atoms excluding terminal bps yields an RMSD of 0.22–0.39 Å and 0.05–0.25 Å for A6-DNA and A6-DNAm1A16, respectively. The overall RMSD when superimposing heavy atoms of A6-DNA and A6-DNAm1A16 excluding terminal bps is ∼1 Å. However, there are significant differences between the two structures that are sensed by the RDCs as evidenced by the poor agreement (RMSD ∼ 5–6 Hz) when fitting RDCs measured in A6-DNAm1A16 to the NMR structure of A6-DNA and vice versa (Figure 3E and F).

Indeed, visual comparison of the structures immediately reveals increased major-groove directed kinking at the m1A•T HG bp in A6-DNAm1A16h ∼ 23°) as compared to A6-DNA (βh ∼ 9°) (Figure 4B and C; Supplementary Figure S6). The observed ∼14° increase in major-groove kinking induced by m1A in the NMR structures is in excellent agreement with the major groove kinking induced by HG bp observed in X-ray structures including DNA duplexes containing m1A•T bps (PDB ID: 3H8O, βh = 19°) (21) and DNA–protein complexes containing unmodified HG bps (e.g. PDB ID: 1K61 and 3KZ8, βh ∼ 18°) (Figure 4B). In both the current solution NMR and previous X-ray structures (40), the kink is localized at the HG bp itself and 3΄-neighbor with no significant added kinking is observed further away from the m1A site (Figure 4C). The global bend angle (see ‘Materials and Methods’ section) measured for A6-DNA (12 ± 2°) is in good agreement with values reported previously (3–14°, PDB ID: 1FZX) (40,88,90). However, the corresponding global bend angle is significantly larger (23 ± 1°) for A6-DNAm1A16 (Table 1). Together, these data indicate that m1A•T HG bps promote major-groove directed kinking of the DNA helix under solution conditions.

Comparison of the structures also reveals that m1A induces local perturbations in sugar phase angle (111) in and around the m1A16•T9 HG bp; with minor deviations seen at sites that are >2 bp away consistent with the minimal chemical shift perturbations observed at these sites (Figure 2B and D). The perturbations in sugar phase angle are associated with alternative sugar ring puckers for residues above and below the HG bp; including T8 (C1΄-exo/O4΄-endo to C2΄-endo), T9 (more C3΄-endo), C15 (O4΄-endo to C2΄-endo) and m1A16 (C2΄-endo to O4΄-endo) in good agreement with prior solution NMR studies (19). These variations are driven by the differences in the measured sugar RDCs and NOEs and are in good agreement with measured 3JH1΄-H2΄ scalar couplings (Table 1) and sugar chemical shift perturbations (Figure 2A and B; Supplementary Table S2). For example, the upfield shift in C4΄ in m1A16 (0.7–1 ppm) and T9 (0.4–0.5 ppm) are consistent with deviations toward C3΄-endo while the downfield shift in C15 C4΄ (0.5–0.7 ppm) is consistent with deviations toward C2΄-endo (112). Interestingly, all the residues adopt the BI conformation and similar ε and ζ angles are observed in structures with and without m1A. This is inconsistent with the 31P chemical shift perturbations, which suggest changes in the BI/BII populations at several residues in the complementary strand. Such deviations in fractional populations are difficult to capture when solving average single structures and are better addressed using the ensemble analysis described below.

Due to line broadening, fewer NMR constraints were available in and around the m1A16•T9 HG bp for solving the structure of A2-DNAm1A16. Due to the lack of constraints, we observed distortions in these regions including an increase in bp rise by 1 Å and local unstacking between m1A16•T9 and A17–T8 bp step. In addition, we observe significant differences in kink angles (>5°) when comparing A2-DNA (PDB ID: 5UZD, BMRB ID: 30253) and A2-DNAm1A16 at sites >2 bp away from the m1A, which show little to no m1A induced chemical shift perturbations. As we discuss in the ensemble analysis below, these deviations could in part arise due to motional average and/or lack of NMR constraints particularly at the HG bp. Notwithstanding the above limitations, many of the m1A induced perturbations observed in A6-DNAm1A16 are also observed in A2-DNAm1A16, including increased local kinking (6°) at the HG bp and global bending (5°) albeit by a smaller amount relative to A6-DNAm1A16.

Generating and evaluating duplex ensembles

We carried out an ensemble-based analysis of the RDC data to identify potential dynamic perturbations induced by m1A that are not readily apparent in the XPLOR structures. Using the SAS approach (76,77), the RDC data were used to guide selection of an ensemble of conformations from a pool of conformations generated using 1 μs MD simulations (see ‘Materials and Methods’ section). For all four duplexes, the agreement between the measured RDCs and values predicted by ensembles generated using the full MD trajectories (RMSD = 6.8–8.5 Hz and Pearson's correlation coefficient R2 = 0.61–0.64) exceeded the estimated uncertainty (∼2.5 Hz) in RDC measurement (Figure 5A). Poor agreement (RMSD = 9.7–9.9 Hz and R2 = 0.38–0.45) was also observed when using a more recent DNA force field, Parmbsc1 (113). Such discrepancies with MD-ensembles have previously been reported in HIV-1 TAR RNA (78) and could arise from insufficient sampling in the MD simulations, given that the simulation time remains short (1 μs) compared to the RDC timescale sensitivity (less than milliseconds) and/or due to force-field imperfections. Comparison of the MD-generated and RDC-selected ensembles reveals increased levels of kinking in the RDC-selected ensembles as compared to the MD trajectories (Supplementary Figure S7). Changes in inter-helical angles have previously shown to be the major source of discrepancy between RDCs and MD simulations of HIV-1 TAR (78,114).

Figure 5.

Figure 5.

(A) Comparison of measured RDCs and values back-predicted RDCs using molecular dynamics (MD) trajectories. (B) Comparison of measured RDCs and values predicted for the RDC-selected ensembles. (C) Cartoon representation of a bundle of structures in RDC-selected ensembles of A2-DNA (green), A2-DNAm1A16 (orange), A6-DNA (red), A6-DNAm1A16 (blue) where m1A•T HG bp is colored gray.

RDC-generated SAS ensembles with size N = 6, 10, 10 and 15 for A2-DNA, A2-DNAm1A16, A6-DNA and A6-DNAm1A16, respectively, reproduce the RDCs to within experimental error (∼2.5 Hz) (Figure 5B and C). Cross-validation analysis (see ‘Materials and Methods’ section) indicates that the ensembles are underdetermined when removing 25% of RDC data in SAS but suggest that they are nevertheless more accurate than the ensembles generated using the entire MD trajectories (Supplementary Figure S1). Several SAS runs were then carried out to generate final ensembles with 2400 structures. The final RDC-generated ensembles predict the 1H chemicals shifts within estimated calculation error of shifts (<0.26 ppm) (115) and exhibit minimal NOE violations (<2%). Furthermore, simulations establish that many key features of the ensembles discussed below, including local kinking and BI/BII population, are well defined by the RDC data (Supplementary Figure S2).

m1A-induced structural and dynamic perturbations from ensemble analysis of RDCs

The ensembles reproduce many of the key features observed in the XPLOR structures, including the characteristics of the A-tract in A6-DNA (Supplementary Figure S5). The average local kink angles throughout the helix in all four duplex ensembles are in good agreement with the XPLOR structures though they tend to be slightly larger (11–26° in ensembles versus 2–23° in XPLOR structures, Table 1, Figure 4C and Supplementary Figure S6). The ensembles also have larger standard deviations in the kink angle (6–10°) as compared to the bundle of XPLOR structures (0–3°) (Supplementary Figure S6) and superimpose with larger all heavy-atom RMSD (0.61–2.63 Å compared to 0.05–0.53 Å). This suggests a potentially greater level of motion than implied by the XPLOR structures.

Comparison of the ensembles also reveals increased major-groove directed kinking (by ∼9°) at the m1A•T HG bp relative to the control A16–T9 WC bp for both A2- and A6-DNA, in good agreement with the XPLOR structures (6–14°) (Table 1 and Figure 6A). The increased HG-directed major groove kinking was robustly observed when varying ensemble size or number of input RDCs (Supplementary Tables S4 and 5). Simulations establish that these trends in kink angles can be well determined by single RDC data (Supplementary Figure S2). The RDC-selected ensemble of A2- and A6-DNAm1A16 also display larger global bending angles (see ‘Materials and Methods’ section) than A2- and A6-DNA consistent with the XPLOR structures (Table 1). Interestingly, in contrast to the XPLOR structures, we did not observe significant (>3°) m1A induced kinking in the A2-DNA ensemble at sites >2 bp from the m1A residue consistent with chemical shift perturbations (Table 1 and Figure 2). In the ensembles, the m1A-induced kinking is more localized around the HG bp as compared to the XPLOR structures for both A2- and A6-DNA (Table 1), possibly reflecting the influence of motional averaging in the experimentally measured RDCs. These results reinforce the findings that single HG bp induces major-groove directed kinking under solution conditions.

Figure 6.

Figure 6.

(A) Ensemble distribution of local kink angle (βh) in the RDC-selected ensembles (N = 2400) at the m1A16•T9 HG and control C5–G20 (A2-DNA) and T5–A20 (A6-DNA) WC bp. Δ<βh> denotes the difference between the average kink angles. (B) Ensemble distribution of BI/BII population (ε-ζ) in the RDC-selected ensembles (N = 2400) at the C15pA16 and control C5pG6 (A2-DNA) and T5pT6 (A6-DNA). (C) Ensemble distribution of sugar phase angle in the RDC-selected ensembles (N = 2400) at the m1A16 and control C5 (A2-DNA) and T5 (A6-DNA). (D) Duplexes depicting m1A induced changes in ensemble distributions of sugar pucker toward C3΄-endo (pink) or C2΄-endo (light blue), and backbone torsion angles toward BI (orange) or BII (purple) in A2- and A6-DNA as inferred from ensemble, structure and other NMR data.

Comparison of the ensemble with REsemble to facilitate analysis (114) reveals m1A-induced dynamic perturbations in BI/BII backbone conformations not seen in the XPLOR structures. These deviations are well defined by the RDC data (Supplementary Figure S7). In particular, the m1A ensembles show enrichment in BI at G10pG11, C15pm1A16, m1A16pA17 in and around the m1A•T HG bp due to perturbations in the backbone angles ε and ζ (Figure 6B and D). These deviations can help explain the observed m1A-induced 31P chemical shift perturbations, specifically at G10pG11. While spectral overlap and line broadening did not allow us to resolve 31P resonances for C15pm1A16 and m1A16pA17, the observed enrichment of BI population at these sites in the ensembles is in agreement with previous NMR studies of m1A containing duplexes inferred based on 3JH3΄-P coupling constants (19). Interestingly, analysis of the MD simulation shows that an increase in the local kink angle is accompanied by a correlated reduction in the BII population for residues around the junction bps (Supplementary Figure S8). However, these features are driven by the MD simulations and need to be further verified experimentally.

As expected, minor local perturbations are observed for sites >2 bp away from m1A for the ensembles as well (Supplementary Figure S7). The ensembles also feature changes in sugar pucker at m1A16 (toward O4΄-endo), C15 (more C2΄-endo) and T9 (more C3΄-endo) (Figure 6C and D). While these variations in the ensemble are purely driven by MD and not well defined by the RDC data (Supplementary Figure S2), they are consistent with the XPLOR structure, sugar chemical shift (Figure 2A) and 3J coupling constants (see Supplementary Table S3).

DISCUSSION

NMR studies have shown that in canonical duplex DNA, WC bps exist in dynamic equilibrium with sparsely populated (∼0.02–0.4%) and short-lived (lifetimes of milliseconds) HG bps (3335). Very little structural information is available regarding these transient HG bps given the challenges in structurally characterizing such fleeting states. In this work, we sought to obtain insights into WC-HG breathing dynamics by using m1A and pursue in depth NMR analysis on the resulting trapped m1A•T HG bps.

Several lines of evidences indicate that the m1A•T HG bp mimic the transient A•T HG bp in unmodified DNA duplexes including the similarities in chemical shifts (33) and formation of HG type H-bonds in both cases (34,35). In addition, the perturbations induced by m1A•T HG bps observed in our study are also observed in X-ray structures of unmodified DNA duplexes containing HG bps bound to proteins (40). Nevertheless, we cannot entirely rule out that the methyl group in m1A•T could affect HG pairing as compared to unmodified HG bps due to presence of the methyl group and/or the positive charge on the adenine base which can also affect electronic properties and stacking interactions (21).

A recent survey of X-ray structures revealed that HG bps are correlated with increased duplex kinking at the HG site (40). Such major groove kinking (6–19°) was robustly observed for a variety of sequences and structural contexts, including single A•T HG bps within triplet sequences TAA, GAA, TAC, TAT and including CAA probed in this study; however, in these X-ray structures, the duplex DNA was bound to a protein or small molecule. Our results show that HG bps induce significant major-groove kinking of the double helix under solution conditions in the absence of any binding partner.

Since transient HG bps in unmodified DNA have been shown to be stabilized by HG-type H-bonds (34), we can expect that they also will feature constricted C1΄-C1΄ distances and duplex kinking. A dynamic picture emerges in which transient formation of HG bps is coupled to major-grove DNA kinking (Figure 7A). These kinks will be phase-shifted by the periodicity of the double helix as depicted in Figure 7A. In this regard, it is interesting to note that c7-deazaadenine, which inhibits formation of transient HG bps (34), also reduces macroscopic bending in A-tract DNA duplexes (116). Likewise, A-form RNA shows little to no signs of transient HG bps (22), and correspondingly shows reduced kinking (117) and other biophysical studies indicate A-form RNA to be relatively rigid (118120) and thus more linear. Note that this does not rule out major-groove directed kinking in the absence of HG; rather, the analysis indicates that HG bps are likely to be enriched at sites of major-groove directed kinking.

Figure 7.

Figure 7.

(A) Proposed model for Watson–Crick/Hoogsteen breathing dynamics. Shown is major-groove directed DNA kinking (∼18°) upon transient formation of HG bps. Base pairs undergoing WC to HG transition are labeled blue, with the purine-ring undergoing flip denoted in red and the final HG bps denoted in orange. A red-dashed line indicates the directionality of partial local melting occurring at the 3΄-end of the HG bp. (B) Proposed mode of m1A recognition in duplex DNA by damage repair enzymes (e.g. ABH2) that probe for a local kink and partial melting at the 3΄-end, in addition to the positive charge on m1A modification and HG H-bonds.

Our results also indicate that formation of HG bps induce partial melting of neighboring WC bps at the 3΄-end of the m1A. This partial melting of neighbors may help to explain the proposed weaker dependence of HG stability on sequence context as compared to stable WC bps (35). Such a dynamic behavior is interesting as ‘kink-and-melt’ dynamics are frequently invoked in DNA transactions, including transcriptional activation (14,121) and damage/mismatch-repair (23,122,123). Whether HG bps play roles in these processes remains to be seen.

The unique structural and dynamic features of m1A•T HG bps might play roles in the recognition mechanism of enzymes that repair m1A lesion in double-stranded DNA (Figure 7B). Direct damage reversal by these enzymes is known to proceed by extrahelically flipping out the damaged base (23,124). While AlkB is marginally more efficient for single-stranded DNA, its homolog ABH2 repairs m1A damage in double-stranded DNA and involves kinking of the DNA helix following extrahelical flipping of damaged base (23). Prior studies have demonstrated that poor base stacking (125), altered dynamics of neighboring bps at damaged/mismatch site (126,127), weakened bp stability (128) at the lesion may initiate recognition by repair proteins. Following recognition, enzymes kink the DNA helix to flip bases into the active site for repair (122,129). The pre-kinked m1A•T HG bp along with flexible neighboring bps, could help facilitate damage recognition in the search for m1A lesions, while simultaneously creating a structure with weakened stacking interactions that is primed for extra-helical base flipping (Figure 7B).

ACCESSION NUMBERS

PDB IDs: 3H8O, 1K61, 3KZ8, 1FZX, 5UZD, 5UZF and 5UZI. BMRB accession codes: 30253, 30254 and 30255.

Supplementary Material

Supplementary Data

ACKNOWLEDGEMENTS

We thank all Al-Hashimi lab members for critical comments on the manuscript. We thank Dr Isaac J. Kimsey for helping with in-house script to parse all the ensemble structures using X3DNA-DSSR. We are grateful for technical support and resources from the University of Michigan NMR Center and the Duke Magnetic Resonance Spectroscopy Center. Dedication: Tribute to Dr Karst Hoogsteen for his seminal contributions in the field of nucleic acids structure.

Footnotes

Present addresses:

Bharathwaj Sathyamoorthy, Department of Chemistry, Indian Institute of Science Education and Research Bhopal, Bhopal 462066, India.

Huiqing Zhou, Department of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, 929 East 57th Street, Chicago, IL 60637, USA.

Yi Xue, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.

SUPPLEMENTARY DATA

Supplementary Data are available at NAR Online.

FUNDING

US National Institute for General Medical Sciences [GM103297 to H.M.A]. Funding for open access charge: US National Institute for General Medical Sciences [GM103297 to H.M.A].

Conflict of interest statement. None declared.

REFERENCES

  • 1. Watson J.D., Crick F.H.C.. Molecular structure of nucleic acids: a structure for deoxyribose nucleic acid. Nature. 1953; 171:737–738. [DOI] [PubMed] [Google Scholar]
  • 2. Hoogsteen K. The crystal and molecular structure of a hydrogen-bonded complex between 1-methylthymine and 9-methyladenine. Acta Crystallogr. 1963; 16:907–916. [Google Scholar]
  • 3. Nikolova E.N., Zhou H., Gottardo F.L., Alvey H.S., Kimsey I.J., Al-Hashimi H.M.. A historical account of Hoogsteen base-pairs in duplex DNA. Biopolymers. 2013; 99:955–968. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Abrescia N.G.A., Thompson A., Huynh-Dinh T., Subirana J.A.. Crystal structure of an antiparallel DNA fragment with Hoogsteen base pairing. Proc. Natl. Acad. Sci. U.S.A. 2002; 99:2806–2811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Abrescia N.G.A., González C., Gouyette C., Subirana J.A.. X-ray and NMR studies of the DNA oligomer d(ATATAT): Hoogsteen base pairing in duplex DNA. Biochemistry. 2004; 43:4092–4100. [DOI] [PubMed] [Google Scholar]
  • 6. De Luchi D., Tereshko V., Gouyette C., Subirana J.A.. Structure of the DNA coiled coil formed by d(CGATATATATAT). Chembiochem. 2006; 7:585–587. [DOI] [PubMed] [Google Scholar]
  • 7. Pous J., Urpí L., Subirana J.A., Gouyette C., Navaza J., Campos J.L.. Stabilization by extra-helical thymines of a DNA duplex with Hoogsteen base pairs. J. Am. Chem. Soc. 2008; 130:6755–6760. [DOI] [PubMed] [Google Scholar]
  • 8. Ughetto G., Wang A.H.J., Quigley G.J., van der Marel G.A., van Boom J.H., Rich A.. A comparison of the structure of echinomycin and triostin A complexed to a DNA fragment. Nucleic Acids Res. 1985; 13:2305–2323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Quigley G.J., Ughetto G., van der Marel G.A., van Boom J.H., Wang A.H.J., Rich A.. Non-watson-crick G.C and A.T base pairs in a DNA-antibiotic complex. Science. 1986; 232:1255–1258. [DOI] [PubMed] [Google Scholar]
  • 10. Singh U.C., Pattabiraman N., Langridge R., Kollman P.A.. Molecular mechanical studies of d(CGTACG)2: complex of triostin A with the middle A - T base pairs in either Hoogsteen or Watson-Crick pairing. Proc. Natl. Acad. Sci. U.S.A. 1986; 83:6402–6406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Gao X., Patel D.J.. NMR studies of echinomycin bisintercalation complexes with d(A1-C2-G3-T4) and d(T1-C2-G3-A4) duplexes in aqueous solution: sequence-dependent formation of Hoogsteen A1•T4 and Watson-Crick T1•A4 base pairs flanking the bisintercalation site. Biochemistry. 1988; 27:1744–1751. [DOI] [PubMed] [Google Scholar]
  • 12. Cuesta-Seijo J.A., Sheldrick G.M.. Structures of complexes between echinomycin and duplex DNA. Acta Crystallogr. D. 2005; 61:442–448. [DOI] [PubMed] [Google Scholar]
  • 13. Rice P.A., Yang S.-w., Mizuuchi K., Nash H.A.. Crystal structure of an IHF-DNA complex: a protein-induced DNA U-turn. Cell. 1996; 87:1295–1306. [DOI] [PubMed] [Google Scholar]
  • 14. Patikoglou G.A., Kim J.L., Sun L., Yang S.-H., Kodadek T., Burley S.K.. TATA element recognition by the TATA box-binding protein has been conserved throughout evolution. Genes Dev. 1999; 13:3217–3230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Kitayner M., Rozenberg H., Rohs R., Suad O., Rabinovich D., Honig B., Shakked Z.. Diversity in DNA recognition by p53 revealed by crystal structures with Hoogsteen base pairs. Nat. Struct. Mol. Biol. 2010; 17:423–429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Singh U.S., Moe J.G., Reddy G.R., Weisenseel J.P., Marnett L.J., Stone M.P.. Proton NMR of an oligodeoxynucleotide containing a propanodeoxyguanosine adduct positioned in a (CG)3 frameshift hotspot of Salmonella typhimurium hisD3052: Hoogsteen base-pairing at pH 5.8. Chem. Res. Toxicol. 1993; 6:825–836. [DOI] [PubMed] [Google Scholar]
  • 17. Weisenseel J.P., Reddy G.R., Marnett L.J., Stone M.P.. Structure of an oligodeoxynucleotide containing a 1,N2-propanodeoxyguanosine adduct positioned in a palindrome derived from the salmonella typhimurium hisD3052 gene: Hoogsteen pairing at pH 5.2. Chem. Res. Toxicol. 2002; 15:127–139. [DOI] [PubMed] [Google Scholar]
  • 18. Shanmugam G., Kozekov I.D., Guengerich F.P., Rizzo C.J., Stone M.P.. Structure of the 1,N2-ethenodeoxyguanosine adduct opposite cytosine in duplex DNA: Hoogsteen base pairing at pH 5.2. Chem. Res. Toxicol. 2008; 21:1795–1805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Yang H., Zhan Y., Fenn D., Chi L.M., Lam S.L.. Effect of 1-methyladenine on double-helical DNA structures. FEBS Lett. 2008; 582:1629–1633. [DOI] [PubMed] [Google Scholar]
  • 20. Yang H., Lam S.L.. Effect of 1-methyladenine on thermodynamic stabilities of double-helical DNA structures. FEBS Lett. 2009; 583:1548–1553. [DOI] [PubMed] [Google Scholar]
  • 21. Lu L., Yi C., Jian X., Zheng G., He C.. Structure determination of DNA methylation lesions N1-meA and N3-meC in duplex DNA using a cross-linked protein–DNA system. Nucleic Acids Res. 2010; 38:4415–4425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Zhou H., Kimsey I.J., Nikolova E.N., Sathyamoorthy B., Grazioli G., McSally J., Bai T., Wunderlich C.H., Kreutz C., Andricioaei I. et al. . m1A and m1G disrupt A-RNA structure through the intrinsic instability of Hoogsteen base pairs. Nat. Struct. Mol. Biol. 2016; 23:803–810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Yang C.-G., Garcia K., He C.. Damage detection and base flipping in direct DNA alkylation repair. Chembiochem. 2009; 10:417–423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Freudenthal B.D., Beard W.A., Perera L., Shock D.D., Kim T., Schlick T., Wilson S.H.. Uncovering the polymerase-induced cytotoxicity of an oxidized nucleotide. Nature. 2015; 517:635–639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Ling H., Boudsocq F., Plosky B.S., Woodgate R., Yang W.. Replication of a cis-syn thymine dimer at atomic resolution. Nature. 2003; 424:1083–1087. [DOI] [PubMed] [Google Scholar]
  • 26. Nair D.T., Johnson R.E., Prakash S., Prakash L., Aggarwal A.K.. Replication by human DNA polymerase-[iota] occurs by Hoogsteen base-pairing. Nature. 2004; 430:377–380. [DOI] [PubMed] [Google Scholar]
  • 27. Johnson R.E., Prakash L., Prakash S.. Biochemical evidence for the requirement of Hoogsteen base pairing for replication by human DNA polymerase ι. Proc. Natl. Acad. Sci. U.S.A. 2005; 102:10466–10471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Nair D.T., Johnson R.E., Prakash L., Prakash S., Aggarwal A.K.. Hoogsteen base pair formation promotes synthesis opposite the 1,N6-ethenodeoxyadenosine lesion by human DNA polymerase iota. Nat. Struct. Mol. Biol. 2006; 13:619–625. [DOI] [PubMed] [Google Scholar]
  • 29. Makarova A.V., Kulbachinskiy A.V.. Structure of human DNA polymerase iota and the mechanism of DNA synthesis. Biochemistry (Moscow). 2012; 77:547–561. [DOI] [PubMed] [Google Scholar]
  • 30. Sekhar A., Kay L.E.. NMR paves the way for atomic level descriptions of sparsely populated, transiently formed biomolecular conformers. Proc. Natl. Acad. Sci. U.S.A. 2013; 110:12867–12874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Palmer A.G., III Chemical exchange in biomacromolecules: past, present, and future. J. Magn. Reson. 2014; 241:3–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Xue Y., Kellogg D., Kimsey I.J., Sathyamoorthy B., Stein Z.W., McBrairty M., Al-Hashimi H.M.. Characterizing RNA excited states using NMR relaxation dispersion. Methods Enzymol. 2015; 558:39–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Nikolova E.N., Kim E., Wise A.A., O’Brien P.J., Andricioaei I., Al-Hashimi H.M.. Transient Hoogsteen base pairs in canonical duplex DNA. Nature. 2011; 470:498–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Nikolova E.N., Gottardo F.L., Al-Hashimi H.M.. Probing transient Hoogsteen hydrogen bonds in canonical duplex DNA using NMR relaxation dispersion and single-atom substitution. J. Am. Chem. Soc. 2012; 134:3667–3670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Alvey H.S., Gottardo F.L., Nikolova E.N., Al-Hashimi H.M.. Widespread transient Hoogsteen base pairs in canonical duplex DNA with variable energetics. Nat. Commun. 2014; 5:4786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Bohnuud T., Beglov D., Ngan C.H., Zerbe B., Hall D.R., Brenke R., Vajda S., Frank-Kamenetskii M.D., Kozakov D.. Computational mapping reveals dramatic effect of Hoogsteen breathing on duplex DNA reactivity with formaldehyde. Nucleic Acids Res. 2012; 40:7644–7652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. García R.G., Ferrer E., Macías M.J., Eritja R., Orozco M.. Theoretical calculations, synthesis and base pairing properties of oligonucleotides containing 8-amino-2΄-deoxyadenosine. Nucleic Acids Res. 1999; 27:1991–1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Cubero E., Aviñó A., de la Torre B.G., Frieden M., Eritja R., Luque F.J., González C., Orozco M.. Hoogsteen-based parallel-stranded duplexes of DNA. Effect of 8-Amino-purine derivatives. J. Am. Chem. Soc. 2002; 124:3133–3142. [DOI] [PubMed] [Google Scholar]
  • 39. Soliva R., Güimil García R., Blas J.R., Eritja R., Asensio J.L., González C., Luque F.J., Orozco M.. DNA-triplex stabilizing properties of 8-aminoguanine. Nucleic Acids Res. 2000; 28:4531–4539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Zhou H., Hintze B.J., Kimsey I.J., Sathyamoorthy B., Yang S., Richardson J.S., Al-Hashimi H.M.. New insights into Hoogsteen base pairs in DNA duplexes from a structure-based survey. Nucleic Acids Res. 2015; 43:3420–3433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Tolman J.R., Flanagan J.M., Kennedy M.A., Prestegard J.H.. NMR evidence for slow collective motions in cyanometmyoglobin. Nat. Struct. Mol. Biol. 1997; 4:292–297. [DOI] [PubMed] [Google Scholar]
  • 42. Tjandra N., Bax A.. Direct measurement of distances and angles in biomolecules by NMR in a dilute liquid crystalline Medium. Science. 1997; 278:1111–1114. [DOI] [PubMed] [Google Scholar]
  • 43. Prestegard J.H., Al-Hashimi H.M., Tolman J.R.. NMR structures of biomolecules using field oriented media and residual dipolar couplings. Q. Rev. Biophys. 2000; 33:371–424. [DOI] [PubMed] [Google Scholar]
  • 44. Bax A., Kontaxis G., Tjandra N.. Dipolar couplings in macromolecular structure determination. Methods Enzymol. 2001; 339:127–174. [DOI] [PubMed] [Google Scholar]
  • 45. Delaney J.C., Essigmann J.M.. Mutagenesis, genotoxicity, and repair of 1-methyladenine, 3-alkylcytosines, 1-methylguanine, and 3-methylthymine in alkB Escherichia coli. Proc. Natl. Acad. Sci. U.S.A. 2004; 101:14051–14056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Singer B.G.D. Molecular Biology of Mutagens and Carcinogens: Intrinsic Properties of Nucleic Acids. 1983; NY: Springer [Google Scholar]
  • 47. Trewick S.C., Henshaw T.F., Hausinger R.P., Lindahl T., Sedgwick B.. Oxidative demethylation by Escherichia coli AlkB directly reverts DNA base damage. Nature. 2002; 419:174–178. [DOI] [PubMed] [Google Scholar]
  • 48. Sedgwick B., Robins P., Lindahl T.. Direct removal of alkylation damage from DNA by AlkB and related DNA dioxygenases. Methods Enzymol. 2006; 408:108–120. [DOI] [PubMed] [Google Scholar]
  • 49. Macon J.B., Wolfenden R.. 1-Methyladenosine. Dimroth rearrangement and reversible reduction. Biochemistry. 1968; 7:3453–3458. [DOI] [PubMed] [Google Scholar]
  • 50. Sathyamoorthy B., Lee J., Kimsey I., Ganser L.R., Al-Hashimi H.. Development and application of aromatic [13C, 1H] SOFAST-HMQC NMR experiment for nucleic acids. J. Biomol. NMR. 2014; 60:77–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Hansen M.R., Mueller L., Pardi A.. Tunable alignment of macromolecules by filamentous phage yields dipolar coupling interactions. Nat. Struct. Mol. Biol. 1998; 5:1065–1074. [DOI] [PubMed] [Google Scholar]
  • 52. Clore G.M., Starich M.R., Gronenborn A.M.. Measurement of residual dipolar couplings of macromolecules aligned in the nematic phase of a colloidal suspension of rod-shaped viruses. J. Am. Chem. Soc. 1998; 120:10571–10572. [Google Scholar]
  • 53. Farjon J., Boisbouvier J., Schanda P., Pardi A., Simorre J.-P., Brutscher B.. Longitudinal-relaxation-enhanced NMR experiments for the study of nucleic acids in solution. J. Am. Chem. Soc. 2009; 131:8571–8577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Cavanagh J., Fairbrother W.J.A.G.P. III, Rance M., Skelton N.J.. Protein NMR Spectroscopy. 2007; 2nd edn, Elsevier Inc [Google Scholar]
  • 55. Luy B., Marino J.P.. 1H−31P CPMG-correlated experiments for the assignment of nucleic acids. J. Am. Chem. Soc. 2001; 123:11306–11307. [DOI] [PubMed] [Google Scholar]
  • 56. Delaglio F., Grzesiek S., Vuister G.W., Zhu G., Pfeifer J., Bax A.. NMRPipe: a multidimensional spectral processing system based on UNIX pipes. J. Biomol. NMR. 1995; 6:277–293. [DOI] [PubMed] [Google Scholar]
  • 57. Lee W., Tonelli M., Markley J.L.. NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy. Bioinformatics. 2015; 31:1325–1327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Al-Hashimi H.M., Gorin A., Majumdar A., Gosser Y., Patel D.J.. Towards structural genomics of RNA: Rapid NMR resonance assignment and simultaneous RNA tertiary structure determination using residual dipolar couplings. J. Mol. Biol. 2002; 318:637–649. [DOI] [PubMed] [Google Scholar]
  • 59. Al-Hashimi H.M., Pitt S.W., Majumdar A., Patel D.J.. Mg2+-induced variations in the conformation and dynamics of HIV-1 TAR RNA Probed using NMR residual dipolar couplings. J. Mol. Biol. 2003; 329:867–873. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Zhang Q., Sun X., Watt E.D., Al-Hashimi H.M.. Resolving the motional modes that code for RNA adaptation. Science. 2006; 311:653–656. [DOI] [PubMed] [Google Scholar]
  • 61. Getz M.M., Andrews A.J., Fierke C.A., Al-Hashimi H.M.. Structural plasticity and Mg(2+) binding properties of RNase P P4 from combined analysis of NMR residual dipolar couplings and motionally decoupled spin relaxation. RNA. 2007; 13:251–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Baleja J.D., Germann M.W., van de Sande J.H., Sykes B.D.. Solution conformation of purine-pyrimidine DNA octamers using nuclear magnetic resonance, restrained molecular dynamics and NOE-based refinement. J. Mol. Biol. 1990; 215:411–428. [DOI] [PubMed] [Google Scholar]
  • 63. Schwieters C.D., Kuszewski J.J., Clore G.M.. Using Xplor-NIH for NMR molecular structure determination. Prog. Nucl. Magn. Reson. Spectrosc. 2006; 48:47–62. [DOI] [PubMed] [Google Scholar]
  • 64. Huang K., Louis J.M., Donaldson L., Lim F.L., Sharrocks A.D., Clore G.M.. Solution structure of the MEF2A–DNA complex: structural basis for the modulation of DNA bending and specificity by MADS‐box transcription factors. EMBO J. 2000; 19:2615–2628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Tjandra N., Tate S.-i., Ono A., Kainosho M., Bax A.. The NMR structure of a DNA dodecamer in an aqueous dilute liquid crystalline phase. J. Am. Chem. Soc. 2000; 122:6190–6200. [Google Scholar]
  • 66. Vermeulen A., Zhou H., Pardi A.. Determining DNA global structure and DNA bending by application of NMR residual dipolar couplings. J. Am. Chem. Soc. 2000; 122:9638–9647. [Google Scholar]
  • 67. Cheatham T.E., Cieplak P., Kollman P.A.. A modified version of the Cornell et al. force field with improved sugar pucker phases and helical repeat. J. Biomol. Struct. Dyn. 1999; 16:845–862. [DOI] [PubMed] [Google Scholar]
  • 68. Pérez A., Marchán I., Svozil D., Sponer J., Cheatham T.E. III, Laughton C.A., Orozco M.. Refinement of the AMBER force field for nucleic acids: improving the description of Alpha/Gamma conformers. Biophys. J. 2007; 92:3817–3829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Salomon-Ferrer R., Götz A.W., Poole D., Le Grand S., Walker R.C.. Routine microsecond molecular dynamics simulations with AMBER on GPUs. 2. Explicit solvent particle mesh ewald. J. Chem. Theory Comput. 2013; 9:3878–3888. [DOI] [PubMed] [Google Scholar]
  • 70. Lu X.J., Olson W.K.. 3DNA: a software package for the analysis, rebuilding and visualization of three‐dimensional nucleic acid structures. Nucleic Acids Res. 2003; 31:5108–5121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Berendsen H.J.C., Grigera J.R., Straatsma T.P.. The missing term in effective pair potentials. J. Phys. Chem. 1987; 91:6269–6271. [Google Scholar]
  • 72. Joung I.S., Cheatham T.E.. Determination of alkali and halide monovalent ion parameters for use in explicitly solvated biomolecular simulations. J. Phys. Chem. B. 2008; 112:9020–9041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Pastor R.W., Brooks B.R., Szabo A.. An analysis of the accuracy of Langevin and molecular dynamics algorithms. Mol. Phys. 1988; 65:1409–1419. [Google Scholar]
  • 74. Berendsen H.J.C., Postma J.P.M., Gunsteren W.F.v., DiNola A., Haak J.R.. Molecular dynamics with coupling to an external bath. J. Chem. Phys. 1984; 81:3684–3690. [Google Scholar]
  • 75. Darden T., York D., Pedersen L.. Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems. J. Chem. Phys. 1993; 98:10089–10092. [Google Scholar]
  • 76. Chen Y., Campbell S.L., Dokholyan N.V.. Deciphering protein dynamics from NMR data using explicit structure sampling and selection. Biophys. J. 2007; 93:2300–2306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Frank A.T., Stelzer A.C., Al-Hashimi H.M., Andricioaei I.. Constructing RNA dynamical ensembles by combining MD and motionally decoupled NMR RDCs: new insights into RNA dynamics and adaptive ligand recognition. Nucleic Acids Res. 2009; 37:3670–3679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Salmon L., Bascom G., Andricioaei I., Al-Hashimi H.M.. A general method for constructing atomic-resolution RNA ensembles using NMR residual dipolar couplings: the basis for interhelical motions revealed. J. Am. Chem. Soc. 2013; 135:5457–5466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Zweckstetter M. NMR: prediction of molecular alignment from structure using the PALES software. Nat. Protoc. 2008; 3:679–690. [DOI] [PubMed] [Google Scholar]
  • 80. Swails J., Zhu T., He X., Case D.A.. AFNMR: automated fragmentation quantum mechanical calculation of NMR chemical shifts for biomolecules. J. Biomol. NMR. 2015; 63:125–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Lu X.-J., Bussemaker H.J., Olson W.K.. DSSR: an integrated software tool for dissecting the spatial structure of RNA. Nucleic Acids Res. 2015; 43:e142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Lavery R., Sklenar H.. Defining the structure of irregular nucleic acids: conventions and principles. J. Biomol. Struct. Dyn. 1989; 6:655–667. [DOI] [PubMed] [Google Scholar]
  • 83. Bailor M.H., Sun X., Al-Hashimi H.M.. Topology links RNA secondary structure with global conformation, dynamics, and adaptation. Science. 2010; 327:202–206. [DOI] [PubMed] [Google Scholar]
  • 84. Bailor M.H., Mustoe A.M., Brooks C.L., Al-Hashimi H.M.. 3D maps of RNA interhelical junctions. Nat. Protoc. 2011; 6:1536–1545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Nelson H.C.M., Finch J.T., Luisi B.F., Klug A.. The structure of an oligo(dA)·oligo(dT) tract and its biological implications. Nature. 1987; 330:221–226. [DOI] [PubMed] [Google Scholar]
  • 86. Koo H.S., Drak J., Rice J.A., Crothers D.M.. Determination of the extent of DNA bending by an adenine-thymine tract. Biochemistry. 1990; 29:4227–4234. [DOI] [PubMed] [Google Scholar]
  • 87. DiGabriele A.D., Steitz T.A.. A DNA dodecamer containing an adenine tract crystallizes in a unique lattice and exhibits a new bend. J. Mol. Biol. 1993; 231:1024–1039. [DOI] [PubMed] [Google Scholar]
  • 88. MacDonald D., Herbert K., Zhang X., Polgruto T., Lu P.. Solution structure of an A-tract DNA bend. J. Mol. Biol. 2001; 306:1081–1098. [DOI] [PubMed] [Google Scholar]
  • 89. Barbič A., Zimmer D.P., Crothers D.M.. Structural origins of adenine-tract bending. Proc. Natl. Acad. Sci. U.S.A. 2003; 100:2369–2373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Haran T.E., Mohanty U.. The unique structure of A-tracts and intrinsic DNA bending. Q. Rev. Biophys. 2009; 42:41–81. [DOI] [PubMed] [Google Scholar]
  • 91. Gilbert D.E., van der Marel G.A., van Boom J.H., Feigon J.. Unstable Hoogsteen base pairs adjacent to echinomycin binding sites within a DNA duplex. Proc. Natl. Acad. Sci. U.S.A. 1989; 86:3006–3010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Tian Y., Kayatta M., Shultis K., Gonzalez A., Mueller L.J., Hatcher M.E.. 31P NMR investigation of backbone dynamics in DNA binding sites. J. Phys. Chem. B. 2009; 113:2596–2603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Zhou H., Vermeulen A., Jucker F.M., Pardi A.. Incorporating residual dipolar couplings into the NMR solution structure determination of nucleic acids. Biopolymers. 1999; 52:168–180. [DOI] [PubMed] [Google Scholar]
  • 94. Mollova E.T., Pardi A.. NMR solution structure determination of RNAs. Curr. Opin. Struct. Biol. 2000; 10:298–302. [DOI] [PubMed] [Google Scholar]
  • 95. Latham M.P., Brown D.J., McCallum S.A., Pardi A.. NMR methods for studying the structure and dynamics of RNA. Chembiochem. 2005; 6:1492–1505. [DOI] [PubMed] [Google Scholar]
  • 96. Sibille N., Pardi A., Simorre J.-P., Blackledge M.. Refinement of local and long-range structural order in theophylline-binding RNA using 13C−1H residual dipolar couplings and restrained molecular dynamics. J. Am. Chem. Soc. 2001; 123:12135–12146. [DOI] [PubMed] [Google Scholar]
  • 97. Warren J.J., Moore P.B.. Application of dipolar coupling data to the refinement of the solution structure of the Sarcin-Ricin loop RNA. J. Biomol. NMR. 2001; 20:311–323. [DOI] [PubMed] [Google Scholar]
  • 98. Bondensgaard K., Mollova E.T., Pardi A.. The global conformation of the hammerhead ribozyme determined using residual dipolar couplings. Biochemistry. 2002; 41:11532–11542. [DOI] [PubMed] [Google Scholar]
  • 99. McCallum S.A., Pardi A.. Refined solution structure of the iron-responsive element RNA using residual dipolar couplings. J. Mol. Biol. 2003; 326:1037–1050. [DOI] [PubMed] [Google Scholar]
  • 100. MacDonald D., Lu P.. Residual dipolar couplings in nucleic acid structure determination. Curr. Opin. Struct. Biol. 2002; 12:337–343. [DOI] [PubMed] [Google Scholar]
  • 101. Mauffret O., Tevanian G., Fermandjian S.. Residual dipolar coupling constants and structure determination of large DNA duplexes. J. Biomol. NMR. 2002; 24:317–328. [DOI] [PubMed] [Google Scholar]
  • 102. Padrta P., Štefl R., Králík L., Žídek L., Sklenář V.. Refinement of d(GCGAAGC) hairpin structure using one- and two-bond residual dipolar couplings. J. Biomol. NMR. 2002; 24:1–14. [DOI] [PubMed] [Google Scholar]
  • 103. Wu Z., Delaglio F., Tjandra N., Zhurkin V.B., Bax A.. Overall structure and sugar dynamics of a DNA dodecamer from homo- and heteronuclear dipolar couplings and 31P chemical shift anisotropy. J. Biomol. NMR. 2003; 26:297–315. [DOI] [PubMed] [Google Scholar]
  • 104. Stefl R., Wu H., Ravindranathan S., Sklenář V., Feigon J.. DNA A-tract bending in three dimensions: solving the dA4T4 vs. dT4A4 conundrum. Proc. Natl. Acad. Sci. U.S.A. 2004; 101:1177–1182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Wu B., Girard F., van Buuren B., Schleucher J., Tessari M., Wijmenga S.. Global structure of a DNA three-way junction by solution NMR: towards prediction of 3H fold. Nucleic Acids Res. 2004; 32:3228–3239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106. Wu Z., Maderia M., Barchi J.J., Marquez V.E., Bax A.. Changes in DNA bending induced by restricting nucleotide ring pucker studied by weak alignment NMR spectroscopy. Proc. Natl. Acad. Sci. U.S.A. 2005; 102:24–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Schwieters C.D., Clore G.M.. A physical picture of atomic motions within the Dickerson DNA dodecamer in solution derived from joint ensemble refinement against NMR and large-angle x-ray scattering data. Biochemistry. 2007; 46:1152–1166. [DOI] [PubMed] [Google Scholar]
  • 108. Tolman J.R., Al-Hashimi H.M.. Probing biomolecule structural dynamics using residual dipolar couplings. Annu. Rep. NMR Spectrosc. 2003; 51:105–166. [Google Scholar]
  • 109. Getz M., Sun X., Casiano-Negroni A., Zhang Q., Al-Hashimi H.M.. NMR studies of RNA dynamics and structural plasticity using NMR residual dipolar couplings. Biopolymers. 2007; 86:384–402. [DOI] [PubMed] [Google Scholar]
  • 110. Lange O.F., Lakomek N.-A., Farès C., Schröder G.F., Walter K.F.A., Becker S., Meiler J., Grubmüller H., Griesinger C., de Groot B.L.. Recognition dynamics up to microseconds revealed from an RDC-derived ubiquitin ensemble in solution. Science. 2008; 320:1471–1475. [DOI] [PubMed] [Google Scholar]
  • 111. Altona C., Sundaralingam M.. Conformational analysis of the sugar ring in nucleosides and nucleotides. New description using the concept of pseudorotation. J. Am. Chem. Soc. 1972; 94:8205–8212. [DOI] [PubMed] [Google Scholar]
  • 112. Dejaegere A.P., Case D.A.. Density functional study of ribose and deoxyribose chemical shifts. J. Phys. Chem. A. 1998; 102:5280–5289. [Google Scholar]
  • 113. Ivani I., Dans P.D., Noy A., Perez A., Faustino I., Hospital A., Walther J., Andrio P., Goni R., Balaceanu A. et al. . Parmbsc1: a refined force field for DNA simulations. Nat. Meth. 2016; 13:55–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Yang S., Salmon L., Al-Hashimi H.M.. Measuring similarity between dynamic ensembles of biomolecules. Nat. Meth. 2014; 11:552–554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Frank A.T., Horowitz S., Andricioaei I., Al-Hashimi H.M.. Utility of 1H NMR chemical shifts in determining RNA structure and dynamics. J. Phys. Chem. B. 2013; 117:2045–2052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Seela F., Berg H., Rosemeyer H.. Bending of oligonucleotides containing an isosteric nucleobase: 7-deaza-2΄-deoxyadenosine replacing dA within d(A)6 tracts. Biochemistry. 1989; 28:6193–6198. [DOI] [PubMed] [Google Scholar]
  • 117. Wang Y.H., Howard M.T., Griffith J.D.. Phased adenine tracts in double-stranded RNA do not induce sequence-directed bending. Biochemistry. 1991; 30:5443–5449. [DOI] [PubMed] [Google Scholar]
  • 118. Pérez A., Noy A., Lankas F., Luque F.J., Orozco M.. The relative flexibility of B-DNA and A-RNA duplexes: database analysis. Nucleic Acids Res. 2004; 32:6144–6151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Herrero-Galán E., Fuentes-Perez M.E., Carrasco C., Valpuesta J.M., Carrascosa J.L., Moreno-Herrero F., Arias-Gonzalez J.R.. Mechanical identities of RNA and DNA double helices unveiled at the single-molecule level. J. Am. Chem. Soc. 2013; 135:122–131. [DOI] [PubMed] [Google Scholar]
  • 120. Lipfert J., Skinner G.M., Keegstra J.M., Hensgens T., Jager T., Dulin D., Köber M., Yu Z., Donkers S.P., Chou F.-C. et al. . Double-stranded RNA under force and torque: Similarities to and striking differences from double-stranded DNA. Proc. Natl. Acad. Sci. U.S.A. 2014; 111:15408–15413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Hoopes B.C., LeBlanc J.F., Hawley D.K.. Contributions of the TATA box sequence to rate-limiting steps in transcription initiation by RNA polymerase II. J. Mol. Biol. 1998; 277:1015–1031. [DOI] [PubMed] [Google Scholar]
  • 122. Jiricny J. DNA repair: how MutM finds the needle in a haystack. Curr. Biol. 2010; 20:R145–R147. [DOI] [PubMed] [Google Scholar]
  • 123. Fishel R. Mismatch repair. J. Biol. Chem. 2015; 290:26395–26403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Yang C.-G., Yi C., Duguid E.M., Sullivan C.T., Jian X., Rice P.A., He C.. Crystal structures of DNA/RNA repair enzymes AlkB and ABH2 bound to dsDNA. Nature. 2008; 452:961–965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Yang W. Poor base stacking at DNA lesions may initiate recognition by many repair proteins. DNA Repair. 2006; 5:654–666. [DOI] [PubMed] [Google Scholar]
  • 126. Nag N., Rao B.J., Krishnamoorthy G.. Altered dynamics of DNA bases adjacent to a mismatch: a cue for mismatch recognition by MutS. J. Mol. Biol. 2007; 374:39–53. [DOI] [PubMed] [Google Scholar]
  • 127. Yang W. Surviving the Sun: repair and bypass of DNA UV lesions. Protein Sci. 2011; 20:1781–1789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Yi C., Chen B., Qi B., Zhang W., Jia G., Zhang L., Li C.J., Dinner A.R., Yang C.-G., He C.. Duplex interrogation by a direct DNA repair protein in search of base damage. Nat. Struct. Mol. Biol. 2012; 19:671–676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129. Qi Y., Spong M.C., Nam K., Banerjee A., Jiralerspong S., Karplus M., Verdine G.L.. Encounter and extrusion of an intrahelical lesion by a DNA repair enzyme. Nature. 2009; 462:762–766. [DOI] [PMC free article] [PubMed] [Google Scholar]

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