How has DNA-sequencing technology evolved in response to the emerging needs of genome scientists?
Table of contents
- 1. Introduction to Genetics51m
- 2. Mendel's Laws of Inheritance3h 37m
- 3. Extensions to Mendelian Inheritance2h 41m
- 4. Genetic Mapping and Linkage2h 28m
- 5. Genetics of Bacteria and Viruses1h 21m
- 6. Chromosomal Variation1h 48m
- 7. DNA and Chromosome Structure56m
- 8. DNA Replication1h 10m
- 9. Mitosis and Meiosis1h 34m
- 10. Transcription1h 0m
- 11. Translation58m
- 12. Gene Regulation in Prokaryotes1h 19m
- 13. Gene Regulation in Eukaryotes44m
- 14. Genetic Control of Development44m
- 15. Genomes and Genomics1h 50m
- 16. Transposable Elements47m
- 17. Mutation, Repair, and Recombination1h 6m
- 18. Molecular Genetic Tools19m
- 19. Cancer Genetics29m
- 20. Quantitative Genetics1h 26m
- 21. Population Genetics50m
- 22. Evolutionary Genetics29m
18. Molecular Genetic Tools
Genetic Cloning
Problem 2a
Textbook Question
The human genome is 3×10⁹ bp in length.
How many fragments would be predicted to result from the complete digestion of the human genome with the following enzymes: Sau3A (˘GATC), BamHI (G˘GATCC), EcoRI (G˘AATTC), and NotI (GC˘GGCCGC)?

1
Step 1: Understand the problem. The question asks how many fragments would result from the complete digestion of the human genome (3×10⁹ base pairs) using specific restriction enzymes. Each enzyme recognizes a specific sequence of DNA and cuts at that sequence. To solve this, we need to calculate the frequency of each recognition sequence in the genome and then determine the number of fragments produced.
Step 2: Calculate the probability of finding each recognition sequence in the genome. For a random sequence of DNA, the probability of finding a specific base at a given position is 1/4 (since there are four bases: A, T, G, C). For a recognition sequence of length n, the probability of finding that sequence is (1/4)^n. For example, Sau3A recognizes a 4-base sequence (˘GATC), so its probability is (1/4)^4.
Step 3: Determine the expected number of recognition sites for each enzyme. Multiply the probability of finding the recognition sequence by the total number of base pairs in the genome (3×10⁹ bp). For example, for Sau3A, the expected number of recognition sites is (1/4)^4 × 3×10⁹.
Step 4: Calculate the number of fragments produced. Each recognition site corresponds to a cut in the DNA, and the number of fragments produced is equal to the number of recognition sites plus one. Perform this calculation for each enzyme: Sau3A (˘GATC), BamHI (G˘GATCC), EcoRI (G˘AATTC), and NotI (GC˘GGCCGC).
Step 5: Summarize the results. After calculating the expected number of fragments for each enzyme, compare the values to understand how the length of the recognition sequence affects the number of fragments produced. Longer recognition sequences result in fewer cuts and larger fragments, while shorter sequences produce more cuts and smaller fragments.

This video solution was recommended by our tutors as helpful for the problem above
Video duration:
9mPlay a video:
Was this helpful?
Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Restriction Enzymes
Restriction enzymes are proteins that cut DNA at specific sequences, known as recognition sites. Each enzyme recognizes a unique sequence of nucleotides, allowing for targeted cleavage of DNA. Understanding how these enzymes work is crucial for predicting the number of fragments generated from a given DNA sequence, such as the human genome.
Recommended video:
Guided course
Mapping with Markers
DNA Fragmentation
DNA fragmentation refers to the process of breaking down long DNA molecules into smaller pieces. When a restriction enzyme cuts the DNA, it creates fragments whose number and size depend on the frequency of the enzyme's recognition sites within the DNA. Analyzing the human genome's sequence helps estimate how many fragments will result from digestion with specific enzymes.
Recommended video:
Guided course
Steps to DNA Replication
Genome Size and Recognition Sites
The size of the genome, measured in base pairs (bp), is essential for understanding how many times a restriction enzyme can cut the DNA. The frequency of recognition sites for each enzyme determines the expected number of fragments. For example, if an enzyme recognizes a sequence that occurs every 1,000 bp, it would theoretically produce many fragments from a 3 billion bp genome.
Recommended video:
Guided course
Genomics Overview
Related Videos
Related Practice
Textbook Question
544
views