research papers
Conformation-based refinement of 18-mer DNA
structures
ISSN 2059-7983
Received 22 December 2022
Accepted 26 May 2023
Edited by R. J. Read, University of Cambridge,
United Kingdom
Keywords: DNA structure; dnatco.datmos.org;
structure validation; structure refinement; base
pairing.
PDB references: Chom-18-AT, 7z7k;
Chom-18-AC, 7z7l; Chom-18-CC, 7z7m;
Chom-18-CG, 7z7u; Chom-18-GC, 7z7w;
Chom-18-GT, 7z7y; Chom-18-TA, 7z7z;
Chom-18-TC, 7z81; Chom-18-AG, 7z82
Supporting information: this article has
supporting information at journals.iucr.org/d
Jakub Svoboda,a Daniel Berdár,a Petr Kolenko,a,b Jiřı́ Černý,a Zora Nováková,a
Jiřı́ Pavlı́čeka and Bohdan Schneidera*
a
Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV, Průmyslová 595, 252 50 Vestec, Czech
Republic, and bFaculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7,
115 19 Prague 1, Czech Republic. *Correspondence e-mail:
[email protected]
Nine new crystal structures of CG-rich DNA 18-mers with the sequence
50 -GGTGGGGGC-XZ-GCCCCACC-30 , which are related to the bacterial
repetitive extragenic palindromes, are reported. 18-mer oligonucleotides with
the central XZ dinucleotide systematically mutated to all 16 sequences show
complex behavior in solution, but all ten so far successfully crystallized 18-mers
crystallized as A-form duplexes. The refinement protocol benefited from the
recurrent use of geometries of the dinucleotide conformer (NtC) classes as
refinement restraints in regions of poor electron density. The restraints are
automatically generated at the dnatco.datmos.org web service and are available
for download. This NtC-driven protocol significantly helped to stabilize the
structure refinement. The NtC-driven refinement protocol can be adapted to
other low-resolution data such as cryo-EM maps. To test the quality of the final
structural models, a novel validation method based on comparison of the
electron density and conformational similarity to the NtC classes was employed.
1. Introduction
Published under a CC BY 4.0 licence
Acta Cryst. (2023). D79
The ability to form pairs between nitrogenous bases is
fundamental to the biological functions of nucleic acids as well
as their structural integrity. Base pairs carry genetic information in antiparallel DNA duplexes and are important for
establishing the rich 3D architecture of RNA molecules.
Genetic code-carrying Watson–Crick (or canonical) base pairs
prevail in both DNA and RNA owing their ability to form
stable antiparallel self-recognizing duplexes. In genetic
DNA duplexes, non-Watson–Crick pairs are often called
mismatches, indicating their potentially malicious effect of
miscoding the correct genetic information (Iyer et al., 2006). In
DNA, the formation of non-Watson–Crick pairs influences the
duplex geometry by deflecting it from its optimum compatible
with the canonical base pairing (Kunz et al., 2009) and the
ability of DNA duplexes to incorporate these pairs depends to
a large part on the plasticity of the DNA backbone. The
formation of non-Watson–Crick pairs can be stabilized by
tautomerism of aromatic rings of the bases that are isosteric
with the Watson–Crick pairs and therefore compliant with the
helical architecture (Westhof, 2014).
Duplex destabilization by the formation of non-Watson–
Crick pairs increases its structural flexibility, which can lead
to the formation of multiple molecular species in solution.
Competition of these species in the crystallization batch
influences the process of crystallization and may decrease the
quality of the resulting crystals or even preclude crystal
formation. This fact, and a broader issue of the emergence of
DNA and especially RNA structures with low crystallographic
resolutions around 3 Å, drew our attention to the process of
https://doi.org/10.1107/S2059798323004679
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Table 1
Data-collection statistics for 18-mers with sequence 50 -GGTGGGGC-XZ-GCCCCACC-30 .
Values in parentheses are for the outer shell. All 18-mers produced isomorphous tetragonal crystals belonging to space group P43212. They were measured at 100 K
either on BESSY beamline 14.1 or by using a Bruker Venture D8 with a liquid-jet anode at the Center of Molecular Structure at the Institute of Biotechnology,
Czech Academy of Sciences (IBT).
XZ
AC
AG
AT
CC
CG
PDB code
7z7l
7z82
7z7k
7z7m
7z7u
Diffraction source
Wavelength (Å)
Rotation range per image
Exposure time per image (s)
a = b (Å)
c (Å)
Resolution range (Å)
Total No. of reflections
Unique reflections
Completeness (%)
Multiplicity
hI/(I)i
CC1/2
CC*
Data availability
BESSY
0.9184
0.1
0.1
37.76
85.11
22.68–2.50 (2.59–2.50)
60497 (7806)
2563 (298)
99.9 (99.8)
23.6 (26.2)
25.7 (2.8)
0.997 (0.910)
0.999 (0.976)
https://10.5281/
zenodo.6336683
IBT
1.3418
0.5
90
38.11
87.81
34.96–2.95 (3.19–2.95)
48048 (8569)
1535 (291)
97.9 (93.6)
31.3 (29.4)
35.8 (4.1)
0.999 (0.962)
0.996 (0.990)
https://10.5281/
zenodo.6336707
BESSY
0.9184
0.1
0.1
38.19
87.82
43.91–2.70 (2.85–2.70)
45763 (6957)
2062 (280)
100 (100)
22.2 (24.8)
22.6 (0.9)
0.999 (0.678)
0.997 (0.899)
https://10.5281/
zenodo.6333817
IBT
1.3418
0.5
70
38.09
87.42
28.72–2.40 (2.50–2.40)
86942 (10007)
2658 (301)
94.4 (99.3)
32.7 (33.2)
35.7 (2.9)
0.998 (0.992)
0.997 (0.998)
https://10.5281/
zenodo.6336722
BESSY
0.9184
0.1
0.1
38.28
87.32
43.66–2.75 (2.92–2.75)
44663 (7411)
1958 (297)
100 (100)
22.8 (25.0)
29.4 (1.9)
0.999 (0.895)
0.998 (0.972)
https://10.5281/
zenodo.6336839
XZ
GC
GT
TA
TC
PDB code
7z7w
7z7y
7z7z
7z81
Diffraction source
Wavelength (Å)
Rotation range per image
Exposure time per image (s)
a = b (Å)
c (Å)
Resolution range (Å)
Total No. of reflections
Unique reflections
Completeness (%)
Multiplicity
hI/(I)i
CC1/2
CC*
Data availability
BESSY
0.9184
0.1
0.1
38.62
87.95
43.97–2.75 (2.92–2.75)
45103 (7363)
1997 (295)
99.9 (99.6)
22.6 (25.0)
25.3 (2.1)
0.999 (0.908)
0.993 (0.976)
https://10.5281/zenodo.6337128
BESSY
0.9184
0.1
0.1
37.70
89.72
44.86–2.50 (2.61–2.50)
59296 (7357)
2556 (288)
99.9 (100)
23.2 (25.5)
31.2 (4.7)
0.996 (0.908)
0.996 (0.976)
https://10.5281/zenodo.6597387
IBT
1.3418
0.5
30
38.48
90.33
45.17–2.60 (2.73–2.60)
27067 (3600)
2394 (308)
100 (100)
11.3 (11.7)
15.2 (2.0)
0.999 (0.618)
0.995 (0.874)
https://10.5281/zenodo.6597824
BESSY
0.9184
0.1
0.1
38.20
88.38
44.19–2.75 (2.92–2.75)
44499 (7534)
1971 (304)
100 (100)
22.6 (24.8)
26.4 (2.1)
0.988 (0.915)
0.977 (0.978)
https://10.5281/zenodo.6598165
the refinement of structure models based on lower resolution
diffraction data. Refinement protocols for mid- to low-resolution
structures need to restrain valence geometric parameters,
bond distances and angles, but additional restraining of
conformational states helps to improve the quality of the final
structural models. The protein structure quality certainly
benefits from knowledge of amino-acid rotameric states. In
contrast, restraining nucleic acid local conformational states is
not part of the standard refinement workflow. This is due to
the fact that restraining one or two isolated backbone torsion
angles or sugar pucker is a cumbersome and often counterproductive process. Multiple backbone torsions and sugar
pucker are correlated, making the nucleic acid conformational
space multidimensional. Dinucleotides are the smallest
structural fragments that can be classified into well defined
classes, so-called dinucleotide conformer (NtC) classes (Černý,
Božı́ková, Svoboda et al., 2020). The known geometries of the
NtC classes provide the possibility to use them as restraints in
refinement protocols. The effectiveness of this process needs
to be rigorously tested; in this work, we are making the first
step.
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Jakub Svoboda et al.
This paper builds on our previous studies of CG-rich DNA
oligonucleotides related to repetitive extragenic palindrome
(REP) elements (Charnavets et al., 2015; Kolenko et al., 2020),
where we have explained the biological relevance of these
sequences. The CD spectra of REP-related 18-mers of
sequence 50 -GGTGGGGC-XZ-GCCCCACC-30 , in which we
mutated the central XZ dinucleotide, indicated that these 16
oligonucleotides behave differently in solution. Therefore, we
wanted to further analyze the structural differences of these
18-mers by X-ray crystallography, especially from the point of
view of the differences between XZ dinucleotides that are
capable and incapable of forming Watson–Crick pairs. We
succeeded in the crystallization of nine new 18-mers and
present their crystal structures here (Table 1). The limited
quality of the diffraction data of these 18-mers, with resolutions between 2.5 and 3.0 Å, called for a new approach to
refinement and we used our knowledge of the NtC classes to
restrain the dinucleotide geometries in some of the refined
structures. We believe that the modifications to the refinement
protocol and the new validation criteria presented here may
be beneficial for other lower resolution nucleic acid structures.
Conformation-based refinement of 18-mer DNA structures
Acta Cryst. (2023). D79
research papers
2. Methods and materials
diffraction images. Due to the presence of sufficient amounts
of MPD (20%) in the crystallization batch, no additional
cryoprotective procedure was necessary. Inspection of the
diffraction images did not show radiation damage. Mosaicity
values were in the range 0.19–0.57 . Diffraction images were
processed in XDS and AIMLESS (Kabsch, 2010; Agirre et al.,
2023). Raw diffraction images of the best diffracting crystals
have been deposited with Zenodo. Data-collection statistics
and Zenodo links are given in Table 1.
2.1. Crystallization experiments
We studied CG-rich sequences related to bacterial REP
elements (Bertels & Rainey, 2011) from Cardiobacterium
hominis. Oligonucleotides were synthesized by and purchased
from Sigma–Aldrich and Generi Biotech with standard
desalting purification.
All crystallized sequences can be written as 50 -GGTGG
GGC-XZ-GCCCCACC-30 and we succeeded in crystallization
of 18-mers where XZ were the dinucleotides AT, AC, AG, CC,
CG, GC, GT, TA and TC; they are further named Chom-18AT, Chom-18-AC, Chom-18-AG etc. All oligonucleotides were
dissolved in 50 mM Tris pH 8 to a final concentration of 1 mM
and stored in the freezer ( 18 C). Prior to crystallization, the
oligonucleotides were thawed at 20 C, heated to 95 C in a
thermoblock for 5 min and cooled to 20 C. Initial screening
was performed with the Natrix screen from Hampton
Research. The most promising conditions, F2 and F4, were
further optimized. Condition F2 consisted of 80 mM NaCl
(salt), 12 mM KCl (salt), 20 mM MgCl2 (salt), 0.04 M sodium
cacodylate pH 6.5 (buffer), 30%(v/v) MPD (precipitant) and
12 mM spermine(HCl)4 (additive) and condition F4 consisted
of 80 mM SrCl2 (salt), 0.04 M sodium cacodylate pH 6.5
(buffer), 35%(v/v) MPD (precipitant) and 12 mM spermine
(HCl)4 (additive). Optimization was performed in a hangingdrop vapor-diffusion setup. The final crystallization conditions
are listed in Supplementary Table S1; the volume of the drops
was 3 ml, with a 2:1 or 1:1 ratio of DNA stock:reservoir solution,
and the reservoir volume was 1000 ml. The variants crystallized
within one to four days. Microseeding greatly improved the
efficiency of the crystal growth of the Chom-18-AG variant.
Crystallization attempts at 10 C failed. Photographs of several
crystals are depicted in Supplementary Fig. S1.
The optimized crystallization conditions for all 18-mers
contained Sr2+ cations. Crystals of several variants initially
grew in conditions with a lower concentration of Sr2+ or even
without the cation, but these conditions produced twinned or
small needle-like crystals that were not suitable for diffraction
measurements. Further optimization of these conditions that
included various metal and nonmetal cations only led to
improved crystal quality with solutions containing Sr2+ cations.
Therefore, we conclude that the interaction of DNA with Sr2+
was important for the formation of acceptably well diffracting
crystals. We also did not observe the formation of crystals in
other conditions without sodium cacodylate, MPD and spermine.
2.3. Refinement protocol using the NtC classes
MOLREP (Vagin & Teplyakov, 2010; Agirre et al., 2023)
showed that the structure solution for all the 18-mers is almost
identical to the structure with PDB code 6ros, with one 18-mer
strand in the asymmetric unit (Kolenko et al., 2020), and we
therefore proceeded with rigid-body refinement. Refinement
was carried out in an NtC-enhanced local fork of phenix.refine
version 1.19.2 (Liebschner et al., 2019); the statistics are listed
in Table 2. Approximately 5% of all reflections were used as a
control (free) set.
Despite the involvement of model rebuilding with Coot
(Emsley et al., 2010), structure refinement of Chom-18-AT,
Chom-18-CG, Chom-18-GC, Chom-18-GT, Chom-18-TC and
especially Chom-18-AG remained unstable. Therefore, we
decided to restrain the dinucleotide geometries in these
structures to the known geometries of the NtC classes. We
used the Chom-18-AC variant as the starting reference model
because it has the highest resolution and most of its dinucleotides were assigned to NtC classes.
The partial reference model was built from nucleotides 1–7
and 12–18 of Chom-18-AC as described in detail in the
following paragraph. The refinement was improved with the
aid of NtC-based restraints. The final refinement cycles were
performed using all reflections. In the final refinement cycle
NtC restraints were kept for steps 1–7 and 12–18. The coordinates and structure factors have been deposited in the PDB
(Berman et al., 2002) and are now available.
Initial model and structure factors were uploaded to the
DNATCO web service at https://dnatco.datmos.org. After the
coordinate file has been uploaded in mmCIF or PDB format,
the user is presented with automatically generated NtC
restraints for Phenix and CCP4 (Agirre et al., 2023) as well as
commands for MacroMolecule Builder (MMB; Flores &
Altman, 2010). The restraints are generated automatically
only for model dinucleotides with a root-mean-square deviation (r.m.s.d.) to the closest NtC atoms of within 0.5 Å. The
limit of 0.5 Å was determined empirically to restrain only
those parts of the structure that are close to the known
conformations as defined by the NtC classes. While the default
restraints perform well in most cases, the DNATCO web
service allows finer tuning of the NtC restraint parameters.
Users are intuitively guided to choose an alternative NtC
based on the provided ‘similarity’ and ‘connectivity’ plots; at
the same time, the fit of the newly proposed dinucleotide
geometry to the electron density is calculated. Weights of
restraint parameters controlling the width (sigma) of the
2.2. Data collection
Diffraction data were collected at the BESSY II synchrotron operated by the Helmholtz-Zentrum Berlin (Mueller et
al., 2015) and on a D8 Venture (Bruker) diffractometer at the
Center of Molecular Structure, Institute of Biotechnology of
the Czech Academy of Sciences. Crystals were flash-cooled in
liquid nitrogen and data were collected at 100 K. During data
collection for Chom-18-AG, we tried lowering the humidity
with an HCLab (Arinax). This procedure did not yield better
Acta Cryst. (2023). D79
Jakub Svoboda et al.
Conformation-based refinement of 18-mer DNA structures
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Table 2
Refinement statistics for DNA 18-mers with sequence 50 -GGTGGGGC-XZ-GCCCCACC-30 .
The diffraction precision index (DPI) was calculated at https://cluster.physics.iisc.ernet.in/dpi/ (Kumar et al., 2015).
XZ
AC
AG
AT
CC
CG
GC
GT
TA
TC
PDB code
7z7l
7z82
7z7k
7z7m
7z7u
7z7w
7z7y
7z7z
7z81
No. of reflections, working set
No. of reflections, test set
Rwork
Rfree
Rall
No. of non-H atoms
DNA
Ions
Total
R.m.s. deviations
Bond lengths (Å)
Angles ( )
Average B factors (Å2)
DPI
2396
138
0.241
0.331
0.252
1230
51
0.297
0.322
0.299
1994
105
0.261
0.336
0.271
2092
88
0.233
0.292
0.238
1822
106
0.274
0.289
0.283
1952
110
0.258
0.333
0.266
2027
114
0.258
0.319
0.272
1731
94
0.264
0.308
0.269
1841
97
0.273
0.338
0.277
365
1
366
368
1
369
366
1
367
363
1
364
366
1
367
366
1
367
367
2
369
366
1
367
364
1
365
0.005
0.492
89
0.379
0.011
1.276
117
0.567
0.011
1.648
93
0.592
0.011
1.277
67
0.470
0.008
0.718
105
0.673
0.008
0.747
96
0.619
0.01
1.014
84
0.570
0.009
0.826
102
0.905
0.006
0.745
109
0.735
energy function used by the refinement software are assigned
automatically. Advanced users can, however, use DNATCO to
modify the overall weight or even to assign per-dinucleotide
weights, allowing tighter control over the refinement. The
automatically generated and optional user-tuned restraint files
can be downloaded in the Refinement tab under the respective choice of Phenix, REFMAC or MMB software.
NtC restraint files contain the corresponding combinations
of torsional and pseudo-bond parameters for the sugarphosphate backbone torsions, including torsions in the (deoxy)
ribose moieties. Below is an excerpt from the phenix.refine
restraint file for Chom-18-AG:
This excerpt modifies one of 22 mostly torsional parameters
for the first dinucleotide step in the model. The action
keywords ntc_delete and ntc_change are introduced
because phenix.refine automatically generates a partial set of
torsion restraints that are inconsistent with NtC definitions;
these restraints are first removed and NtC-derived values are
assigned. The base pairs in positions 8–11 were left unrestrained. The restraint file downloaded from dnatco.datmos.org
is then edited to add other refinement parameters such as the
number of cycles, refinement strategy etc. The refinement is
then run: phenix.refine coordinates.pdb data.mtz
dnatco_refine.params, where dnatco_refine.params
is the input file. However, this approach currently requires the
patched version of phenix.refine available from the DNATCO
website, which is available upon request.
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Jakub Svoboda et al.
The restraint file for REFMAC works with the current
version of the software (Murshudov et al., 2011). The software
was used to independently check the convergence of the
refinement process. Below is part of the REFMAC restraint
file used to refine Chom-18-AG using a tighter sigma for the
energy function:
In cases where the selected target NtC differs significantly
from the initial model (r.m.s.d. of >0.5 Å as discussed above)
or when the patched version of phenix.refine is not available, a
viable option is to download NtC-related commands for the
MMB software instead and create a model, which is then used
as a reference model in phenix.refine. In the case where the
actual model geometry and the geometry targeted by the
restraints are distant, the target values can be omitted from
the refinement. Larger rearrangements of the model using
only NtC restraints can thus fail and MMB or Coot intervention or the use of the ‘idealized’ model from DNATCO is
needed.
In summary, the NtC classes guide the refinement procedure from the initial conformation to the final model. Section
3.1 describes the practical steps of refinement of Chom-18-AG
(PDB entry 7z82), the structure with the worst quality
diffraction, Chom-18-TC (PDB entry 7z81) and Chom-18-CG
(PDB entry 7z7u).
3. Results and discussion
3.1. NtC-driven refinement
NtC classes provided valuable help with building the initial
models of six of the nine 18-mers, i.e. Chom-18-AT, Chom-18CG, Chom-18-GC, Chom-18-GT, Chom-18-TC and Chom-18AG. The rationale for using the geometries of the NtC classes
as refinement restraints is that NtC classes, which are defined
by the most probable combinations of 12 sugar-phosphate
backbone geometric parameters, represent the most probable
Conformation-based refinement of 18-mer DNA structures
Acta Cryst. (2023). D79
research papers
Table 3
Comparison of the model quality obtained using refinement protocols without and with NtC restraints for Chom-18-TC, Chom-18-CG and Chom-18-AG.
The table lists changes in the confal score (confal) and RSCC (RSCC) of the restrained nonrestrained models. When the NtC restraints were used, Rfree
decreased for these three structures by 1.9%, 2.0% and 12.3%, respectively. The overall r.m.s.d.s between the NtC-restrained and nonrestrained models are 0.45,
0.57 and 1.36 Å, respectively. Supplementary Table S2 lists similar values with more details for all structures that were restrained with the NtC-based parameters.
Step
1–2
2–3
3–4
4–5
5–6
6–7
7–8
8–9
9–10
10–11
11–12
12–13
13–14
14–15
15–16
16–17
17–18
Overall
Chom-18-TC (PDB entry 7z81)
Chom-18-CG (PDB entry 7z7u)
Chom-18-AG (PDB entry 7z82)
confal
confal
confal
53
46
16
32
22
9
9
50
0
9
0
16
21
0
9
4
85
18
RSCC
0.001
0.005
0.005
0.023
0.045
0.097
0.070
0.011
0.002
0.001
0.014
0.020
0.016
0.023
0.010
0.003
0.002
0.014
RSCC
9
3
5
82
38
17
4
26
10
47
25
11
31
26
22
2
5
9
0.020
0.014
0.031
0.035
0.014
0.002
0.012
0.004
0.001
0.051
0.059
0.011
0.020
0.008
0.018
0.003
0.012
0.011
Jakub Svoboda et al.
0.021
0.016
0.007
0.013
0.012
0.002
0.010
0.000
0.018
0.009
0.042
0.027
0.018
0.017
0.004
0.025
0.037
0.065
18-TC structure, the average confal score and the average
RSCC improved. The r.m.s.d.s between the NtC-restrained
and nonrestrained models were 0.45 and 0.57 Å for the Chom18-TC and Chom-18-CG structures, respectively (Table 3).
Additionally, fewer sessions and cycles of refinement and
manual rebuilding were necessary compared with refinement
unrestrained by NtCs. Application of the NtC geometrical
restraints improved the fit to the electron density marginally;
the RSCCs of the constrained and nonconstrained models
remained approximately the same (Table 3 and Fig. 1). In the
case of the other structures, the use of NtCs decreased the
Rwork and Rfree values marginally, but the geometrical closeness to the NtC classes increased (Supplementary Table S2).
To summarize, our first experience with NtC-restrained
refinement indicates that it makes the refinement process
more robust for lower quality diffraction data and improves
the fit to the electron density, and at the same time improves
the agreement with the known conformations, as represented
here by dinucleotide NtC fragments.
dinucleotide structures (Černý, Božı́ková, Svoboda et al.,
2020). In a broader context, NtC classes correspond to dinucleotide local energy minima. It is therefore logical to use
them as guides for fitting and refining low-resolution electron
densities, where the stress on parametrization of refinement is
more consequential.
The NtC-supported refinement was most useful in the case
of Chom-18-AG with a dipurinic base pair (PDB entry 7z82).
The crystals of Chom-18-AG diffracted to the lowest crystallographic resolution of 3 Å. The refinement was initially
unstable, producing several negative peaks along the sugarphosphate backbone in the map and unsatisfactory Rwork and
Rfree values of 0.305 and 0.431, respectively. To improve the
results of refinement, we generated the NtC restraints, which
provided torsional refinement parameters for phenix.refine.
This decreased the Rwork and Rfree values to final values of
0.297 and 0.322, respectively (Table 2). In addition to this
improvement, we also noticed cleaner electron-density maps
with fewer diffraction minima along the sugar-phosphate
backbone compared with the starting phases of the refinement
cycle. As expected, closeness to the NtC standards increased
substantially. The average confal score (the confal score
quantifies the agreement between the analyzed dinucleotides
and the NtC-defining conformers; for details, see Schneider et
al., 2018) for the entire structure increased significantly from
46 to 64, corresponding to a shift from the 47th to the 84th
percentile with respect to all nucleic acid structures in the
PDB. The number of unassigned (NANT) dinucleotide steps
changed from five to four (Table 3 and Supplementary Table
S2).
While the NtC-unrestrained Chom-18-CG model had two
dinucleotides that were unassigned to NtC classes, all dinucleotides are assigned to NtC classes in the restrained
model (Table 3 and Supplementary Table S2). Although the
number of unassigned steps remained the same in the ChomActa Cryst. (2023). D79
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79
7
49
9
19
27
0
0
56
20
3
21
26
86
18
RSCC
3.2. General features of the 18-mer DNA structures
All 18-mers crystallized as isomorphic tetragonal crystals
with one strand of a right-handed antiparallel duplex in the
asymmetric unit. Pictures of electron densities are given in
Supplementary Table S2. The structures can be characterized
overall as deformed A-form duplexes (Fig. 2a). Four of the
new structures describe palindromic duplexes potentially with
all Watson–Crick pairs: Chom-18-AT (PDB entry 7z7k),
Chom-18-CG (PDB entry 7z7u), Chom-18-GC (PDB entry
7z7w) and Chom-18-TA (PDB entry 7z7z). Six 18-mers have
sequences with the two central nucleotides forming nonWatson–Crick pairs: Chom-18-AC (PDB entry 7z7l), Chom18-CC (PDB entry 7z7m), Chom-18-GT (PDB entry 7z7y),
Chom-18-TC (PDB entry 7z81), Chom-18-TT (PDB entry
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Table 4
NtC classes for the central regions of ten analyzed DNA 18-mers with sequence 50 -GGTGGGGC-XZ-GCCCCACC-30 .
A table of the NtC assignments for all dinucleotides is provided as Supplementary Table S4. The NtC assignments can also be analyzed in greater detail at the
website https://dnatco.datmos.org (Černý, Božı́ková, Maly et al., 2020; Černý, Božı́ková, Svoboda et al. 2020).
XZ
AT
CG
GC
TA
CC
TC
TT
AC
GT
AG
PDB code
7z7k
7z7u
7z7w
7z7z
7z7m
7z81
6ros
7z7l
7z7y
7z82
7–8
8–9
9–10
10–11
11–12
AA08
AA00
AA03
NANT
AA01
AA08
AA11
AA08
AA00
AA10
AA08
AA00
AA08
AA00
AA10
NANT
AA08
NANT
AA00
AA08
AA08
AA00
AA00
NANT
NANT
AA08
AA00
AA00
NANT
NANT
AA08
AA00
AA08
NANT
NANT
AA08
AA00
AA00
AA06
AA11
NANT
AA00
AA00
AA06
AA11
NANT
AB01
NANT
NANT
NANT
6ros; Kolenko, Svoboda et al. 2020) and Chom-18-AG (PDB
entry 7z82). Detailed analysis of base pairing and backbone
geometry is provided below.
The crystal packing of all structures is virtually identical.
The strand in the asymmetric unit forms the duplex by basepairing with the other strand related by the twofold axis. The
duplexes are only weakly connected. In each structure there
are fewer than 30 unique DNA–DNA contacts shorter than
4 Å. The contacts occur between the base atoms of one duplex
and the deoxyribose and phosphate atoms of a symmetryrelated duplex outside the mutated central region. The list of
contacts for Chom-18-AC (PDB entry 7z7l) is given in
Supplementary Table S3; the smallest number of contacts
shorter than 4.0 Å (21) is observed in Chom-18-GT (PDB
entry 7z7y) and the largest number (28) is observed in
Chom-18-AC (PDB entry 7z7l). The touching duplexes are
highlighted in color in Fig. 2(b). The two central variable
dinucleotides do not directly participate in crystal packing; the
distances of their atoms to the atoms of symmetry-related
duplexes are greater than 6.5 Å. As we have already discussed
(Kolenko et al., 2020), this packing arrangement is reminiscent
of that observed in octamers, for instance d(GGGGCCCC)2
(PDB entry 2ana; McCall et al., 1985), and in d(GCGGG
CCCGC)2 decamers (PDB entries 137d and 138d; Ramakrishnan & Sundaralingam, 1993), where two neighboring
sugar rings of one strand stack on the first base pair of a
symmetry-related duplex. In all three cited cases, the hydrophobic surfaces of the terminal base pairs stack on the sugar
ring edges and may form a few direct or water-bridged (PDB
entries 136d and 137d) hydrogen bonds. It is notable that
similar packing interactions occur for duplexes of different
lengths of eight, ten and 18 nucleotides. All of these duplexes
crystallized in different space groups.
All ten analyzed structures have most of the dinucleotides
in A-like conformers. The AA00 class describing the canonical
A-form prevails, while the less populated A-like NtC classes
(AA08, AA04 and AA01) occur more in the central region
(Table 4). Only Chom-18-CG, Chom-18-GC and Chom-18-AC
Figure 1
Comparison of NtC-nonrestrained (a, c) and restrained (b, d) refinement of residue DG4 of Chom-18-CG (a, b) and residue DC18 of Chom-18-TC (c, d).
The 2mFo DFc electron density is contoured in gray at the 1 level and the mFo DFc electron density is contoured in green for positive and in red for
negative at the 3 level. Images were drawn with CCP4MG (McNicholas et al., 2011).
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13. Sr2+ cations interact with the keto O6 atoms of guanines 6
and 7. The second Sr2+ cation is observed in Chom-18-GT and
Chom-18-TT (PDB entries 7z7y and 6ros, respectively).
Chom-18-TT also contains a third Sr2+ cation observed at the
twofold axis between the central pairs 9 and 10.
As in our previous studies of REP-related oligonucleotides
(Charnavets et al., 2015; Kolenko et al., 2020), we investigated
the behavior of the DNA in solution by circular dichroism.
The spectra of all ten analyzed 18-mers show complex
sequence-dependent features that are described in the
supporting information and Supplementary Fig. S3.
have all dinucleotides assigned (classified as NtC classes
AA##); unassigned dinucleotides (NtC class NANT) are
mostly localized near the central base pair. Most dinucleotides
with deformed backbones and unassigned dinucleotides are
observed in Chom-18-YY and especially Chom-18-AG,
pointing to a highly deformed backbone.
Despite the overall similarity of the duplexes, the central
region with a variable dinucleotide sequence shows a trend
depending on the central dinucleotide. When we measure the
distances between the C10 atom of nucleotide 9 and C10 of its
symmetry-related base-paired nucleotide 10 in all 18-mers, the
order from the shortest to the longest is TT (7.9 Å) < CC < TC
< GT < GC < AC < AT < TA < CG < AG (12.1 Å). This trend
follows the size of the pyrimidine–pyrimidine (Y–Y), pyrimidine–purine (Y–R/R–Y) and purine–purine (R–R) pairs
regardless of the type of base pair involved. The same pattern
is observed for P–P distances across the strand (data not
shown). The poor quality of the Chom-18-AG crystals and the
unsuccessful crystallization of the three R–R 18-mers with
central GG, GA and AA dinucleotides may indicate that the
central pairs of these R–R 18-mers are becoming too large to
be accommodated in the same helical architecture. The
observation that the crystal packing can accommodate relatively small changes in the molecular shape has been made
previously on a set of Dickerson–Drew dodecamer structures
(Dickerson et al., 1994).
All reported structures co-crystallized with the Sr2+ cation
located between nucleotides 6 and 7 and (by symmetry) 12 and
3.3. Validation by correlation between electron density and
geometry
The annotation of nucleic acid structures by NtC classes
opens a way to a simple yet powerful validation of the structure quality by correlating the geometries of analyzed dinucleotides and their fit to the experimental electron density. For
each dinucleotide, we performed the following.
(i) We compared the geometry of the model with the
geometries of dinucleotides in the curated ensemble of dinucleotides with defined geometries, the so-called ‘golden set’
defining the NtC classes; the similarity is measured as the
r.m.s.d. in Cartesian space (Černý, Božı́ková, Svoboda et al.,
2020). These r.m.s.d. values, which are calculated for both
assigned and unassigned dinucleotides, gauge the geometric
similarity between analyzed dinucleotides and dinucleotides in
the golden set.
Figure 2
The architecture and crystal packing of ten analyzed DNA 18-mers. (a) The duplexes have the overall shape of the A-form. The two symmetry-related
strands are colored blue and red, the two central nucleotides are depicted in green and the yellow spheres are Sr2+ cations. (b) The crystal packing. Two
duplexes whose atoms are closer than 4.0 Å are highlighted in red and blue; all duplexes in gray are further than 4.0 Å from these two duplexes. Images
were drawn for Chom-18-AC (PDB entry 7z7l) using ChimeraX (Pettersen et al., 2021).
Acta Cryst. (2023). D79
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(ii) We calculated the real-space correlation coefficient
(RSCC) of electron densities of the model and experiment.
Electron densities were calculated using phenix.real_space_
refine from all atoms in the step and the resulting RSCC as a
mean average from individual atomic correlations (Afonine et
al., 2018).
(iii) We display the calculated RSCC and r.m.s.d. values as
scattergrams that plot values for individual dinucleotides as
points or for an ensemble of structures as contour plots.
Fig. 3 displays the RSCC–r.m.s.d. scattergrams calculated
for dinucleotides of ten analyzed structures (red dots) and, as
gray contours, values calculated for a curated ensemble of 497
chains of sequentially nonredundant uncomplexed DNA from
crystal structures with crystallographic resolution higher than
2.6 Å selected according to Biedermannová et al. (2022).
In Fig. 3, we show two scattergrams, the first displaying the
relationship between RSCC and r.m.s.d. for all dinucleotides
assigned to NtC classes and the second displaying the same
relationship for unassigned dinucleotides (formally class
NANT). The data in the pictures are divided into four
rectangles by the vertical line separating dinucleotides whose
model and experimental electron densities correlate at 80%
and the horizontal line for r.m.s.d. values of 1.0 Å. The data in
the rectangles are interpreted as follows.
(i) Lower right: ‘good’ dinucleotides with known geometry
and a good fit to electron density.
(ii) Lower left: ‘over-refined’ dinucleotides with known
geometry and a poor fit to electron density.
(iii) Upper right: ‘unique’ dinucleotides with unknown
geometry and a good fit to electron density.
(iv) Upper left: ‘poor’ dinucleotides with unknown
geometry and a poor fit to electron density.
The difference between the scattergrams for assigned and
unassigned dinucleotides is evident. The assigned dinucleotides (Fig. 3a) have a large majority of dinucleotides in
rectangle (i) (‘good’ structures), but a significant fraction of
dinucleotides are still ‘over-refined’ in rectangle (ii). The
distributions of the template ensemble (gray contours) and the
analyzed structures (red dots) are about the same. A large
fraction of over-refined dinucleotides can be interpreted as the
fitting of geometrically well known fragments into inconclusively shaped electron density.
In contrast, the RSCC–r.m.s.d. scattergram looks different
for unassigned dinucleotides (Fig. 3b). The values of the
reference ensemble of structures are scattered in all four
rectangles, with significant fractions of over-refined (20%),
unique (14%) and even poor (6%) dinucleotide geometries.
The unassigned dinucleotides from ten analyzed structures are
distributed evenly between the good and over-refined
rectangles. The distributions of the reference and analyzed
dinucleotides are different because the underlying structures
are different: while the reference set contains variable structures with potentially uniquely shaped dinucleotides [upper
right quadrant (iii)], the dinucleotides in the analyzed structures are all part of conventional double helices that do not
depart from conventional A-like conformations close to the
NtC classes AA##. In such a case, refinement does not call for
a radical departure from the known conformations and
converges in the over-refined quadrant (ii).
3.4. Base pairing
All central base pairs in the ten analyzed structures form
base pairs by Watson–Crick edges (Leontis & Westhof, 2001).
Figure 3
Scattergrams of real-space correlation coefficients (RSCCs) and root-mean-square deviations (r.m.s.d.s) of dinucleotides that are (a) assigned and (b)
unassigned to NtC classes. The gray contours denote values for 99%, 95%, 50% and 5% of values in the data set of a curated ensemble of 497 chains of
sequentially nonredundant and uncomplexed DNA from previously selected crystal structures with crystallographic resolution higher than 2.6 Å
(Biedermannová et al., 2022). The red dots mark the values for dinucleotides of ten analyzed structures. Vertical and horizontal lines represent borders
between values that are deemed to be acceptable and poor. Details of the protocol for calculating the RSCC and r.m.s.d. values are given in the text and
in Černý, Božı́ková, Svoboda et al. (2020).
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Figure 4
Topologies of the central base pairs (residue 9 and symmetry-related residue 10) in ten analyzed structures. The numbers in the insets indicate the
Saenger base-pair notation (Saenger, 1984) assigned by the PDB during deposition. Steps labeled ‘?’ have the base-pair type unassigned; no base-pairing
information was provided for the pairs labeled NA. We highlight potential Watson–Crick pairs in yellow.
Structures of Chom-18-mers with central dinucleotides that
are capable and incapable of forming Watson–Crick pairs are
not distinguishable by any single geometrically interpretable
feature of the backbone such as NtC class (Table 4 and
Supplementary Table S4) or base parameters (supporting
information and Supplementary Fig. S4); their backbone
geometries are locked in the A-form duplex (Fig. 2).
Fig. 4 summarizes the assignments of these base pairs in the
Saenger notation (Saenger, 1984) as archived by the PDB in
mmCIF files as _ndb_struct_na_base_pair.hbond_
type_28.
3.4.1. 18-mers with all nucleotides able to form Watson–
Crick pairs. All four Chom-18-mers with two central nucleo-
tides (residues 9 and 10) able to form Watson–Crick pairs were
crystallized. Base pairs A–T and T–A are classified as Watson–
Crick pairs, while the C–G pair adopts a specific orientation
characterized by a large value of one of the base parameters,
shear (2.97 Å), and is not classified. The topology of the G–C
pair is compatible with the Watson–Crick pair, but it was not
classified as a pair because its atoms do not comply with the
hydrogen-bond geometry.
4. Conclusions
Of the 16 permutations of the central dinucleotide in 18-mer
oligonucleotides 50 -GGTGGGGC-XZ-GCCCCACC-30 , we
crystallized ten. The possible XZ combinations are indicated
in Fig. 4. Nine structures are reported here (Tables 1 and 2)
and we analyze them together with our previously reported
structure with PDB code 6ros (Kolenko et al., 2020). All
oligonucleotides crystallized as isomorphic A-form duplexes
(Fig. 2) despite their circular-dichroism spectra showing
complex structural behavior, which is likely to be caused by
conformational heterogeneity in solution.
The diffraction data for the analyzed structures were of
limited resolution between 2.5 and 3.0 Å and the refinement of
six newly determined structures was not stable. Restraining
the dinucleotide geometries by the geometries of the dinucleotide conformer (NtC) classes (Černý, Božı́ková, Svoboda
et al., 2020) improved the convergence of the refinement,
improved the fit to the electron density and decreased the Rfree
values. The restraints are automatically generated by the
dnatco.datmos.org web service and are available for download. The refinement protocol benefited significantly from the
recurrent use of geometries of the NtC classes as restraints
because it stabilized the final models especially in regions of
diffuse electron density. The proposed protocol is quite
3.4.2. 18-mers with two central nucleotides not able to
form canonical base pairs. Of the four YY 18-mers, only
Chom-18-CT could not be crystallized. Both Chom-18-TC and
Chom-18-CC have high propeller twist; its extreme value in
Chom-18-CC precludes assignment of the base-pair category.
The geometry of the base pair in Chom-18-TT is different due
to the interaction of the thymine O4 major-groove O atoms
with the Sr2+ cation.
Two of the four YR and RY variants unable to form
Watson–Crick pairs were crystallized, Chom-18-AC and
Chom-18-GT, but their base-pairing topology was not
assigned.
Finally, only one of the four RR variants, Chom-18-AG, was
crystallized. The A–G pair is strongly nonplanar; despite this,
the pair is classified. Two successive voluminous A–G base
‘pairs’ were observed in a decamer crystal structure (PDB
entry 1d8x; Gao et al., 1999). In analogy to Chom-18-AG, the
bases of PDB entry 1d8x are moved from their common plane;
this effect is called ‘sheared bases’ in the original paper.
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general and is generalizable to other crystal structures. Its
applicability to cryo-EM data of nucleic acid structures needs
to be tested.
The structures of Chom-18-mers with a central dinucleotide
capable and incapable of forming Watson–Crick pairs are not
distinguishable by any single geometrically interpretable
feature. The local geometric distortions from the A-form as
described by the NtC classes are not reflected immediately at
the central mismatched nucleotides but they propagate in the
direction of the strand (Table 3, Supplementary Fig. S4).
To validate structural qualities, we employed our previously
developed analysis using two-dimensional scattergrams of
RSCC and r.m.s.d. values (Černý, Božı́ková, Svoboda et al.
2020; Fig. 3). The scattergrams provide an easy visual indication of potentially incorrectly refined structural fragments and
thus help in quick validation regardless of the size and
complexity of the structure.
5. Data availability
The presented data are available from the Protein Data Bank
as PDB entries 7z7l (Chom-18-AC), 7z82 (Chom-18-AG),
7z7k (Chom-18-AT), 7z7m (Chom-18-CC), 7z7u (Chom-18CG), 7z7w (Chom-18-GC), 7z7y (Chom-18-GT), 7z7z (Chom18-TA and 7z81 (Chom-18-TC). Diffraction images have been
deposited with the Zenodo server (see Table 1).
6. Related literature
The following references are cited in the supporting information for this article: Hoogsteen (1963), Jaumot et al. (2002),
Kim et al. (1993), Li et al. (2019), Neidle (2008), Nikolova et al.
(2011), Skelly et al. (1993), del Villar-Guerra et al. (2018) and
Vorlı́čková et al. (2012).
Acknowledgements
Diffraction data were collected on BL14.2 at the BESSY II
electron storage ring operated by the Helmholtz-Zentrum
Berlin (Mueller et al., 2015). We would particularly like to
acknowledge the help and support of Thomas Hauss during
the experiment. We acknowledge CIISB, Instruct-CZ center
(CF Biophysics, CF Cryst, CF Diff) supported by MEYS
Czech Republic (LM2018127) and European Regional
Development Fund-Project ‘UP CIISB’ (CZ.02.1.01/0.0/0.0/
18_046/0015974).
Funding information
This research was funded by project INTER-ACTION
(LTAUSA18197) from MEYS Czech Republic, by an institutional grant to the Czech Academy of Sciences (grant RVO
86652036) and by project CAAS CZ.02.1.01/0.0/0.0/16_019/
0000778 from MEYS Czech Republic.
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