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DNA sequencing is the foundation of modern genetics—every major advance from disease diagnosis to evolutionary analysis depends on our ability to read genetic code. You're being tested not just on knowing these techniques exist, but on understanding why each method was developed, what trade-offs it involves, and when you'd choose one over another. The core concepts here include chain termination chemistry, sequencing by synthesis, read length versus throughput trade-offs, and computational assembly strategies.
Don't just memorize technique names and dates. Know what problem each method solves: Why do we need long reads for some projects but short reads work fine for others? Why did scientists move from chemical cleavage to enzymatic methods? When you can explain the underlying mechanisms and compare approaches, you'll nail both multiple-choice questions and FRQs that ask you to design an experiment or troubleshoot a sequencing strategy.
These foundational approaches established the principles of DNA sequencing by generating fragments of different lengths and separating them to read the sequence. The key insight: if you can control where synthesis stops, you can determine sequence position.
Compare: Sanger vs. Maxam-Gilbert—both produce fragment ladders read by electrophoresis, but Sanger uses enzymatic termination while Maxam-Gilbert uses chemical cleavage. If an FRQ asks about early sequencing development, know that Sanger's enzymatic approach won out because it's safer and more automatable.
NGS platforms achieve massively parallel sequencing—millions of fragments sequenced simultaneously. The trade-off: shorter individual reads but enormous throughput and dramatically lower cost per base.
Compare: Illumina vs. Ion Torrent—both are short-read NGS platforms, but Illumina uses optical detection while Ion Torrent uses electronic pH sensing. Ion Torrent is faster and cheaper to set up, but Illumina dominates large-scale projects due to higher accuracy and throughput.
Long reads solve the assembly problem: repetitive regions, structural variants, and complex genomes require reads that span entire repeat units. The mechanism shift: observe single molecules directly rather than amplified clusters.
Compare: SMRT vs. Nanopore—both produce long reads without amplification, but SMRT uses fluorescence detection of polymerase activity while Nanopore uses electrical detection of DNA translocation. Nanopore offers longer reads and portability; SMRT typically achieves higher accuracy with circular consensus. Choose based on whether you need field deployment or maximum accuracy.
These approaches aren't sequencing chemistries themselves but are essential for generating and interpreting sequence data. Understanding when to use each is critical for experimental design questions.
Compare: PCR-based library prep vs. amplification-free methods—PCR increases template quantity but introduces bias; SMRT and Nanopore can sequence native DNA directly, preserving modifications like methylation. If an FRQ asks about detecting epigenetic marks, amplification-free long-read sequencing is your answer.
| Concept | Best Examples |
|---|---|
| Chain termination chemistry | Sanger sequencing |
| Chemical cleavage method | Maxam-Gilbert sequencing |
| Short-read NGS (optical detection) | Illumina sequencing, Pyrosequencing |
| Short-read NGS (electronic detection) | Ion Torrent sequencing |
| Long-read single-molecule sequencing | SMRT sequencing, Nanopore sequencing |
| Sample amplification | PCR |
| Genome assembly strategy | Shotgun sequencing |
| Real-time/quantitative sequencing | Pyrosequencing, SMRT, Nanopore |
Which two sequencing methods produce long reads without requiring PCR amplification, and what detection mechanism does each use?
Compare Sanger sequencing and Illumina sequencing: What do they share in terms of basic chemistry, and how do they differ in throughput and read length?
A researcher needs to sequence a bacterial genome with many repetitive transposon insertions. Which sequencing platform would you recommend and why?
What is the key limitation shared by Ion Torrent and Pyrosequencing when sequencing homopolymer regions, and what causes this problem?
If you needed to detect DNA methylation patterns without bisulfite conversion, which sequencing approach would preserve this epigenetic information, and what feature of the technology makes this possible?