Abstract
We express DNA replication and repair energetics in a τ-first formalism, where τ ≡ E/c³ ≡ m/c. Nucleotide incorporation is driven by dNTP → dNMP + PPi with subsequent PPi hydrolysis, supplying free energy per base on the order of 10⁻²⁰ J. We map these energies to τ per base, relate copying to information-theoretic limits, and propose τ-consistency tests using calorimetry, single-molecule force spectroscopy, and enzymatic ATPase assays.
1. Introduction
DNA replication converts chemical potentials of nucleotides into ordered sequence, consuming energy and exporting heat. In τ units, every incorporated base changes the system’s τ by Δτ = ΔE/c³. A τ-first view tightens the link between biochemical work (polymerization, helicase unwinding, ligation), mass/energy balance (reagents and products), and information storage (bits per base).
2. DNA Biophysics & Energetics
2.1 Polymerization drive
Incorporation step: DNAₙ + dNTP → DNAₙ₊₁ + PPi followed by pyrophosphatase: PPi + H₂O → 2 Pi. The coupled reaction supplies a net free energy ΔG_inc per base (order −5×10⁻²⁰ to −7×10⁻²⁰ J per nucleotide, depending on conditions and base/sequence context).
2.2 Unwinding & processing
Replicative helicases consume ATP to unwind duplex DNA (order-of-magnitude ~1 ATP per base pair) and ligases consume ATP to seal nicks on lagging strands. Stacking interactions and ionic conditions (e.g., Mg²⁺) modulate ΔG of melting/hybridization.
2.3 Single-molecule work scale
Unzipping work per bp from force–extension is roughly W ≈ F·Δx ≈ (10–15 pN)·(0.34 nm) ≈ (3–5)×10⁻²¹ J, comparable to thermal energies per degree of freedom and below the chemical drive from dNTP hydrolysis.
3. τ-Formulation for Genomic Processes
For ΔG_inc ≈ 5×10⁻²⁰ J, Δτ_base ≈ 5×10⁻²⁰ / c³ ≈ 1.9×10⁻⁴٥ (SI units of τ). Replication τ-flux at rate r bases·s⁻¹ is \dot τ_rep ≈ r·Δτ_base. Helicase ATP turnover adds \dot τ_hel ≈ \dot n_ATP·ΔG_ATP/c³. τ-consistency requires that calorimetric energy release matches the sum of chemical τ inputs minus stored τ in products.
Δτ_inputs (dNTP, ATP) − Δτ_outputs (heat + mixing) − Δτ_products (ordered DNA) ≈ 0
4. Information & Landauer Limits
A DNA base encodes 2 bits (A/T/G/C). Landauer’s bound for erasing one bit is E ≥ k_B T ln 2; at 310 K this is ~3×10⁻²¹ J per bit → ~6×10⁻²¹ J per base. The chemical drive per incorporation (~5×10⁻²⁰ J) comfortably exceeds this minimum, allowing high-fidelity copying and error correction overhead while remaining thermodynamically consistent.
5. Quantitative Benchmarks
- Polymerase rate: order 10²–10³ nt·s⁻¹ (organism/enzyme dependent) →
\dot τ_repin the 10⁻⁴³–10⁻⁴² range (using Δτ_base above). - Helicase ATPase: ~1 ATP·bp⁻¹ (order-of-magnitude); ΔG_ATP ≈ 5×10⁻²⁰ to 1×10⁻¹٩ J per hydrolysis → comparable τ contribution to polymerization per base.
- Ligation: 1 ATP per nick sealed; cost accumulates with Okazaki fragment number and repair load.
- Melting curves: DNA Tₘ shifts reflect ΔH, ΔS; integrating yields per-base ΔG consistent with τ accounting.
6. Implications
- Unified accounting: τ ties sequence copying (information) to biochemical energy and measurable heat.
- Error correction budget: Fidelity mechanisms (proofreading/mismatch repair) consume additional τ, bounded above by available chemical drive.
- Biotech design: PCR/qPCR and isothermal methods can be optimized by explicit τ budgets (buffer ions, dNTP levels, enzyme turnover).
7. Conclusion
Genomic processes are τ-flows: chemical potentials of dNTPs and ATP are converted into ordered sequence and heat. τ makes the connections between mass/energy balance, measurable calorimetry, single-molecule work, and information limits explicit and testable.
References
- Alberts et al., Molecular Biology of the Cell.
- Phillips, Kondev, Theriot, Garcia, Physical Biology of the Cell.
- SantaLucia & Hicks (2004), Annu. Rev. Biophys. Biomol. Struct. — DNA nearest-neighbor thermodynamics.
- Landauer (1961); Bennett (2003) — Information erasure thermodynamics.
- Single-molecule DNA unzipping/optical tweezer literature for force–extension work per bp.
Appendix A — τ-First Genomic Dictionary
A.1 Core identities
A.2 Reactions
A.3 Energetic links
A.4 Information
A.5 τ-consistency (experiment)
Appendix B — Test Protocols (Checklist)
B.1 Calorimetry & Enzyme Assays (in vitro)
| Test | Observable | Procedure | Outcome |
|---|---|---|---|
| Isothermal titration calorimetry (ITC) | ΔH of incorporation / hybridization | Titrate dNTPs into primed template ± polymerase | Per-base energy → τ_base = ΔG/c³; compare to theory |
| PPi quantification | PPi → 2Pi (colorimetric/enzymatic) | Coupled assays track extent/rate | Compute ΔG_inc from stoichiometry; derive τ |
| ATPase helicase assay | ATP/bp unwound | Measure ATP hydrolysis vs length/time | τ_hel = (ATP rate · ΔG_ATP)/c³ |
B.2 Single-Molecule Mechanics
| Test | Observable | Procedure | Outcome |
|---|---|---|---|
| Optical/magnetic tweezers | F–x unzipping curves | Pull λ-DNA at controlled speed/ionic strength | Integrate W per bp; compare to ΔG_inc-based τ |
| Nanopore translocation | Ionic current vs work | Bias-dependent translocation with calibration | Estimate mechanical/thermal τ dissipation |
B.3 PCR / qPCR Energetics
| Test | Observable | Procedure | Outcome |
|---|---|---|---|
| qPCR with calorimetry | Heat flow per cycle | Microcalorimetry aligned to amplification curves | Per-base τ cost vs polymerase turnover |
| Melting curve analysis | Tₘ, ΔH, ΔS | UV absorbance (260 nm) ramps | Thermo parameters → τ of hybridization |
B.4 Reporting
- Report per-base ΔG and τ = ΔG/c³ with buffer/temperature/ionic conditions.
- Provide τ-consistency: inputs (dNTP, ATP) vs outputs (heat + order).
- Include uncertainty budgets and replicate counts.
- Publish raw force–extension and calorimetry traces for reanalysis.
B.5 Worked Example Template
Compute: \dot τ_rep = r·ΔG_inc/c³; \dot τ_hel = (ATP rate·ΔG_ATP)/c³.
Check: Calorimetry τ_out ≈ \dot τ_rep + \dot τ_hel (± storage/ordering terms).