Jharkhand TET (Teacher Eligibility) /General Awareness & Current Affairs

Biology basics

General Science · free study notes

Biology Basics – Advanced University‑Level Study Notes

(For Jharkhand TET – General Awareness & Current Affairs)

Objective:

  1. Provide a rigorous, first‑principles treatment of core biological concepts.
  2. Highlight contemporary research and current affairs that intersect with biology.
  3. Offer a challenging problem that tests synthesis of multiple topics.

Audience:
Candidates preparing for the Jharkhand TET (Teacher Eligibility Test) with a focus on biology fundamentals, but at a depth comparable to an introductory MIT‑level course.

Structure:

  1. Historical & Conceptual Foundations
  2. Cellular & Molecular Biology
  3. Genetics & Evolution
  4. Ecology & Systems Biology
  5. Human Biology & Health
  6. Current Affairs & Emerging Technologies
  7. Edge Cases & Thought Experiments
  8. Challenging Problem & Solution

1. Historical & Conceptual Foundations

Era Milestone Key Principle Notable Contributor
17th–18th c. Microscopy Observation that all life is composed of cells Robert Hooke, Antonie van Leeuwenhoek
19th c. Cell Theory (1) All organisms are composed of cells. (2) The cell is the basic unit of life. (3) All cells arise from pre‑existing cells. Schleiden, Schwann, Virchow
20th c. Molecular Revolution Life is governed by nucleic acids and proteins Watson & Crick, Franklin, Chargaff
21st c. Systems & Synthetic Biology Life is a network of interacting parts; we can engineer new organisms Church, Endy, N. E. Reed

First Principles Approach

  1. Conservation Laws – Energy, mass, and matter are conserved in biological systems.
  2. Thermodynamics – Biological processes are constrained by the second law (entropy increases).
  3. Information Theory – DNA stores information; error rates, mutation, and repair are governed by information‑theoretic limits.

2. Cellular & Molecular Biology

2.1 Cell Structure & Function

  • Plasma Membrane: Phospholipid bilayer; fluid mosaic model; selective permeability.
  • Organelle Functionality:
    • Nucleus – DNA, transcription.
    • Mitochondria – oxidative phosphorylation, ATP synthesis.
    • Ribosomes – translation, protein synthesis.
  • Cell Cycle (Mitosis & Meiosis) – Key checkpoints (Checkpoints 1–3, spindle assembly checkpoint).

2.2 Biochemical Pathways

  • Central Dogma: DNA → RNA → Protein (with reverse transcription in retroviruses).
  • Metabolic Flux: Rate equations, enzyme kinetics (Michaelis–Menten).
  • ATP/ADP Ratio: Indicator of energetic status; linked to cellular signaling (AMPK).

2.3 Genetics & DNA Repair

  • DNA Structure: Watson–Crick base pairing, helicase unwinding.
  • Repair Mechanisms:
    • Nucleotide Excision Repair – removes bulky lesions.
    • Mismatch Repair – corrects polymerase errors.
    • Homologous Recombination – error‑free repair using sister chromatid.
  • Mutation Rates: ~10⁻⁶ per base per generation in humans.

2.4 Advanced Topics

  • CRISPR‑Cas Systems – Adaptive immune system in bacteria; gene editing.
  • Synthetic Biology – Design of minimal genomes; genetic toggle switches.

3. Genetics & Evolution

3.1 Population Genetics

  • Hardy–Weinberg Equilibrium
    [ p^2 + 2pq + q^2 = 1 ] where (p) and (q) are allele frequencies.
  • Genetic Drift – Random fluctuations; significant in small populations.
  • Gene Flow – Migration alters allele frequencies.

3.2 Molecular Evolution

  • Neutral Theory – Most mutations are neutral; drift dominates.
  • Selection Coefficient (s) – Measures fitness advantage/disadvantage.
  • Phylogenetics – Construction of evolutionary trees using molecular clocks.

3.3 Speciation Mechanisms

  • Allopatric – Geographic isolation.
  • Sympatric – Polyploidy, ecological niche partitioning.
  • Reproductive Isolation – Pre‑zygotic & post‑zygotic barriers.

3.4 Edge Cases

  • Mitochondrial Eve – Coalescence analysis of mtDNA.
  • Horizontal Gene Transfer in Eukaryotes – Mycorrhizal transfer of genes.

4. Ecology & Systems Biology

4.1 Ecosystem Dynamics

  • Energy Flow: Trophic levels, efficiency (~10 % transfer).
  • Biogeochemical Cycles: Carbon, nitrogen, phosphorus cycles.

4.2 Population Dynamics

  • Logistic Growth
    [ \frac{dN}{dt} = rN\left(1-\frac{N}{K}\right) ] where (r) is intrinsic rate and (K) is carrying capacity.
  • Predator–Prey Models – Lotka–Volterra equations.

4.3 Systems Biology

  • Network Analysis – Nodes (genes/pro

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