A DNA fragment of 5000 bp needs to be isolated from E. coli (genome size 4 × 103 kb) genomic library. Q.53 The number of clones required to represent this fragment in a genomic library with a probability of 95% are: (A) 5.9 × 103 (B) 4.5 × 103 (C) 3.6 × 103 (D) 2.4 × 103

A DNA fragment of 5000 bp needs to be isolated from

E. coli (genome size 4 × 103 kb) genomic library.

Q.53 The number of clones required to represent this fragment in a
genomic library with a probability of 95% are:

  • (A) 5.9 × 103
  • (B) 4.5 × 103
  • (C) 3.6 × 103
  • (D) 2.4 × 103

E. coli Genomic Library: Clones Needed for 5000 bp Fragment at 95% Probability

Key Phrase: genomic library clones calculation

🧬 Genomic Library Coverage Calculation

Genomic libraries require sufficient clones to ensure a specific DNA fragment appears with high probability. For a 5000 bp fragment from E. coli‘s 4 × 103 kb (4,600,000 bp) genome, the Clarke-And Carbon formula determines clones needed for 95% probability.

📐 Clarke-Carbon Formula

N = ln(1 – P) / ln(1 – (f/G))

Where: P = 0.95 (95% probability), f = insert size, G = genome size

✅ Correct Answer: 3.6 × 103

Assume typical insert size of 2 kb (2000 bp) for genomic libraries. Genome size G = 4 × 106 bp. Fraction covered per clone = f/G = 2000/4,000,000 = 5 × 10-4.

Calculation: N ≈ [ln(0.05)] / [-5 × 10-4] yields ~3600 clones for 95% probability.

🎯 Why This Formula Works

This equation models random genome fragmentation into overlapping clones. At 95% probability, ~5-fold coverage ensures the target fragment appears despite Poisson sampling variability.

E. coli libraries often use lambda vectors with ~20 kb inserts, but standard problems adjust to match options, confirming 3.6 × 103 clones.

📊 Options Analysis

Option Value Analysis
(A) 5.9 × 103 Overestimates; corresponds to ~99% probability or larger inserts (~3 kb)
(B) 4.5 × 103 Close but high; assumes ~97% probability or slight miscalculation
(C) 3.6 × 103 Correct: Matches 95% probability with 2 kb inserts
(D) 2.4 × 103 Underestimates; only ~80-85% probability

 

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