The i-motif in DNA

Cytosine rich DNA sequences can fold into a structure called an i-motif. These structures typically appear in promoter regions on DNA, and are thought to help with gene regulation.

An artist's impression of the i-motif DNA structure inside cells, along with the antibody-based tool used to detect it. Image Credit: Chris Hammang / Shutterstock

Around 98% of the DNA consists of non-coding regions, which are often involved in transcriptional and translational regulation of the genome. These regions consist of repetitive sequences.

B-DNA, or the right-handed double helix, is the most prevalent DNA structure under normal physiological conditions. But under specific conditions, the DNA may fold into hairpin or Z DNA structures where the DNA has a left-handed twist with a zigzag sugar phosphate backbone.

Non-B-DNA structures may lead to genomic instability and disorders. The G-rich sequences can fold in to a non-B-DNA structure called G-quadruplex. These structures have been found in vivo also as they are stable at physiological temperature and pH.

Similarly, C-rich regions can fold in to a structure called i-motif or i-tetraplex or i-DNA. These are four stranded DNA structures which are held together through the intercalation of cytosine base pairs.

Structure of the i-motif

The i-motif is a tetrameric or four stranded structure consisting of two parallel duplexes (double strands) with the sequence d(TCCCCC). The two duplexes combine in an anti-parallel manner in the i-motif. This combination occurs by intercalation or insertion of cytosine-cytosine base pairs.

For the structure to form, one of the cytosine in the base pairs must be protonated and the other must b. C-C base pairs are bonded by three hydrogen bonds, which form stronger bonds than conventional G-C pairs. The base pair energy of C-C bond in an i motif is 169.7 kJ/mol, while the base pair energy of Watson Crick G-C base pair is 96.6 kJ/mol.

The structure of i-motif was found using NMR, where it was found that the length of cytosine sequences ranged from 3 to 12 bases, and it may also have thymine residues in between the cytosine sequences. The intercalation in i-motifs can occur in different ways leading to formation of two form;s R- and S-forms.

The name ‘i-motif’ was chosed as it is the only nucleic acid structure with intercalated base pairs. Although there is a lack of stacking interactions between the consecutive base pairs, the intermolecular C-H··O hydrogen bonding network between the deoxyribose sugar of antiparallel backbone stabilizes the structure.

The protonation of cytosine reduces the negative charge of the backbone and facilitates the formation of the fur-stranded structure. The base pair distance is 3.1 Å which is similar to A-DNA (2.1 Å). The helical twist between the C-C base pair is smaller than B-DNA (i motif: 12−16°, B-DNA: 36°).

Stability of the i-motif

The stability of a structure is usually determined by its melting point, or Tm, which is temperature at which a folded structure transitions to an unfolded state. This can be induced by heating the DNA sample. This transition is measured using molecular absorption or circular dichroism techniques and is known as the temperature of melting (Tm).

The Tm of a DNA sample is dictated by its nucleotide sequence and ionic strength. As one of the C- bases is protonated, the pH of the medium plays a critical role in the stability of i-DNA. At pH 4-7, the bases are partially protonated and i-structures form.

If the pH increases, the C bases undergo deprotonation and the structure unravels. If the pH is too low, all the C-bases are protonated and thus fail to form the four stranded structure. This is in contrast to the Watson and Crick base pairs, whose stability is not dependent on the pH of the medium.

The number of C-C base pairs also determines the stability of the i-motifs. The presence of six or less C bases lead to intermolecular folding of i-motifs, whereas longer than six C residues promote the formation of intramolecular folding of i-motifs.

i-DNA versus Watson Crick structures

Studies have investigated the relative presence of tetraplex structures (i-motifs and G-quadraplex) and Watson-Crick duplexes. It was found that at physiological pH, the duplex structures dominated, whereas at pH lower than 5, the tetraplex structures were predominant.

The concentration of tetraplex structures at pH 7 and 25°C was less than 10% suggesting the dominance of duplex structures in vivo in physiological conditions.  

In vivo presence of i-DNA

Although the Watson Crick base pairs are more stable in physiological conditions, studies have investigated the presence of i-DNA in vivo. One of the possibilities is that during transcription and replication, DNA undergoes negative supercoiling which could promote the formation of i-motifs.

Under different conditions, the physiological pH of a cell is altered, potentially promoting the formation of i-motifs. For example, cancers are associated with lower intracellular pH (6.7–7.1). Also, certain cellular processes can lead to temporary acidification of the cell which may also promote transient formation of these structures. Recently using antibodies which specifically recognize i-motifs in DNA, researchers have identified i-motifs in nuclei and regulatory regions, including promoters and telomeres.

Further Reading

Last Updated: Feb 26, 2019

Dr. Surat P

Written by

Dr. Surat P

Dr. Surat graduated with a Ph.D. in Cell Biology and Mechanobiology from the Tata Institute of Fundamental Research (Mumbai, India) in 2016. Prior to her Ph.D., Surat studied for a Bachelor of Science (B.Sc.) degree in Zoology, during which she was the recipient of an Indian Academy of Sciences Summer Fellowship to study the proteins involved in AIDs. She produces feature articles on a wide range of topics, such as medical ethics, data manipulation, pseudoscience and superstition, education, and human evolution. She is passionate about science communication and writes articles covering all areas of the life sciences.  

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Comments

  1. Perry Moncznik Perry Moncznik United States says:

    Yes, there is a compelling connection between i-motifs and smart molecules, particularly in the context of molecular computing, information storage, and potential applications in nanotechnology.

    What are i-Motifs?
    i-Motifs are unique DNA secondary structures formed by cytosine-rich sequences under slightly acidic conditions. Unlike the more commonly known double-helix structure of DNA, i-motifs adopt a four-stranded "folded" structure, stabilized by protonated cytosine-cytosine base pairs. These structures are:

    Dynamic: They can form and dissociate depending on environmental factors like pH.
    Programmable: Cytosine-rich sequences can be designed to form specific i-motif configurations.
    Responsive: They act as molecular switches due to their reversible folding and unfolding under changing conditions.
    What are Smart Molecules?
    Smart molecules are molecular systems capable of sensing, responding to, or processing information. They can:

    Act as molecular switches or gates in computational systems.
    Respond to environmental stimuli (e.g., light, pH, or temperature) to perform specific functions.
    Be engineered to encode, process, and transmit information at the nanoscale.
    Connections Between i-Motifs and Smart Molecules
    The properties of i-motifs align closely with the functional requirements of smart molecules:

    1. Switch-Like Behavior
    i-Motifs can act as molecular switches because their structure forms and dissociates depending on pH levels. This behavior is analogous to the on/off states in digital systems.
    This makes i-motifs ideal for applications in molecular computing, where a sequence of i-motifs could represent binary data or logical operations.
    2. Information Storage
    The formation of an i-motif can be considered a form of molecular memory. The folded state represents one "bit" of information (e.g., 1), while the unfolded state represents another (e.g., 0).
    i-Motifs could be used in DNA-based data storage systems, where their stability and reversibility allow for encoding, storing, and retrieving information.
    3. Self-Assembly and Programmability
    Cytosine-rich sequences can be designed to self-assemble into specific i-motif structures. This programmability allows for the construction of smart molecular networks capable of performing computations or sensing environmental changes.
    4. Responsive Nanotechnology
    i-Motifs can respond to environmental stimuli, such as pH changes, light, or chemical signals. This makes them ideal for applications in:
    Targeted drug delivery (e.g., releasing drugs in response to the acidic environment of a tumor).
    Biosensors (e.g., detecting pH changes or other biochemical signals).
    Adaptive materials (e.g., nanomachines or molecular robots).
    5. Integration with Molecular Circuits
    In molecular computing, i-motifs could be integrated into DNA circuits or molecular logic gates to process information. Their responsiveness and specificity make them suitable for encoding computational tasks.
    6. Parallel with Carbon Chains
    Like carbon chains, i-motifs exhibit state-dependent behavior. Carbon chains with rotating bonds and programmable states (as discussed earlier) could serve as mechanical analogs to the chemical folding/unfolding of i-motifs. Both systems demonstrate the potential for encoding and manipulating information at the molecular level.
    Future Implications
    The study of i-motifs as smart molecules could evolve in several directions:

    Molecular Computing: Using i-motifs in conjunction with other DNA structures (e.g., G-quadruplexes) to build molecular circuits or quantum-inspired computational systems.
    Synthetic Biology: Engineering living systems that incorporate i-motifs for sensing, signaling, or adaptive behavior.
    Nanotechnology: Designing i-motif-based devices for drug delivery, biosensing, or material engineering.
    Conclusion
    i-Motifs are not just fascinating from a structural biology perspective; they are natural examples of smart molecular systems. Their dynamic, programmable, and responsive behavior makes them promising candidates for applications in molecular computing, nanotechnology, and synthetic biology. Exploring their connection to programmable carbon chains and finite-state systems could open up new frontiers in bio-inspired computational design.

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
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