NEET (Medical) /Biology

Molecular Basis of Inheritance

Genetics & Evolution · free study notes

Molecular Basis of Inheritance

MIT‑Level Treatment – First Principles to Edge Cases

Audience – NEET Medical aspirants who want depth beyond the standard curriculum.
Goal – Build a conceptual bridge from chemical fundamentals to the genomic architectures that underlie human disease.


1. Foundations of Molecular Genetics

Concept Core Idea Key Equation / Principle
Molecular Bonds Covalent, hydrogen, ionic, Van der Waals ΔG = ΔH – TΔS (Gibbs free energy governs bond stability)
Polymerization Monomers → Polymers n = number of monomer units; M = mass of polymer
Information Theory DNA as a binary code Shannon entropy ( H = -\sum p_i \log_2 p_i )

1.1 DNA: The Information Molecule

  • Structure: Double helix, antiparallel strands, Watson‑Crick base pairs (A↔T, G↔C).
  • Geometry: 10.5 bp/turn, pitch ≈ 34 Å; chirality: B‑DNA (right‑handed).
  • Energetics: Base stacking dominates stability (~ 5 kcal/mol per pair).

First‑principle Insight

The free‑energy difference between base pairings arises from hydrogen bonding and π‑stacking, both derivable from quantum‑chemical calculations on nucleobase analogues. For example, the stabilization of G‑C over A‑T can be reproduced via density‑functional theory (DFT) with ~ 1 kcal/mol accuracy, confirming the observed GC bias in genomes.


2. DNA Replication: Kinetics and Fidelity

Step Enzyme Mechanism Fidelity Factor
Initiation DNA helicase, DnaB (E. coli) Unwinds helix via ATP hydrolysis ~10⁶‑fold increase
Elongation DNA polymerase III 5’→3’ polymerization, 3’→5’ proofreading 10⁻⁹ error rate
Termination Tus/Ter system (E. coli) Crossover inhibition –

2.1 Proofreading & Mismatch Repair

  • Proofreading: 3’→5’ exonuclease removes mispaired dNTPs.
  • MMR: MutS detects mismatches; MutL recruits MutH for nicking; exonuclease II removes 5’ segment.
  • Error‑correction probability: ( P_{\text{correct}} = 1 - \epsilon ), where ( \epsilon \approx 10^{-9} ).
  • Edge case: Pol α lacks proofreading → higher mutation frequency in lagging strand.

2.2 Thermodynamic Considerations

The Gibbs free energy of dNTP incorporation (ΔG⁰) is negative for correct pairs (e.g., GTP→C) and slightly positive for mismatches, providing a spontaneous selectivity. The kinetic barrier (activation energy) is lowered by polymerase’s conformational changes.


3. Transcription: From DNA to RNA

Component Role Key Kinetic Parameter
Promoter Binding site for RNA polymerase ( k_{\text{init}} )
σ‑factor Promoter specificity ( K_d )
RNAP Catalytic core ( k_{\text{elong}} )
Transcription factors Activation/Repression ( K_{\text{act}}/K_{\text{rep}} )

3.1 First‑Principle View of Transcription Initiation

The free‑energy landscape of promoter opening involves a barrier ( \Delta G^\ddagger ) that depends on DNA sequence and nucleosome occupancy. Thermodynamic models predict initiation rates via the Arrhenius equation:

[ k_{\text{init}} = A e^{-\Delta G^\ddagger / RT} ]

where ( A ) is the pre‑exponential factor (~10⁹ s⁻¹).

3.2 Edge Cases

  • Promoter leakiness: Some “constitutive” promoters still exhibit basal transcription; explained by high σ‑factor dissociation constants.
  • Transcriptional bursting: Stochastic initiation leads to pulse‑like mRNA production; captured by two‑state promoter models (ON/OFF).

4. RNA Processing & Regulation

Process Key Players Functional Outcome
Splicing U1, U2, U4, U5, U6 snRNPs Exon ligation
RNA editing ADAR, APOBEC A→I, C→U changes
Alternative splicing SR proteins, hnRNPs Transcript diversity
miRNA Drosha, Dicer, RISC Post‑transcriptional silencing
Epigenetics DNA methyltransferases, histone acetyltransferases Chromatin remodeling

4.1 Thermodynamics of Splice Site Recognition

Splice sites obey the consensus GU–AG rule. The spliceosome’s assembly energy can be modeled as:

[ \Delta G_{\text{splice}} = \

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