17. Genomes and DNA Sequencing

MIT OpenCourseWare
12 May 202048:06
EducationalLearning
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TLDRThe video discusses techniques for identifying disease genes, starting with linkage mapping to locate genes on chromosomes. It covers molecular markers like microsatellites and SNPs that exhibit genetic variation, enabling linkage analysis. To detect SNPs, DNA sequencing methods are introduced - first, manual Sanger sequencing involving chain termination with dideoxynucleotides to generate fragment bands. Then, automated next-generation sequencing which uses fluorescently labeled nucleotides and parallelization to efficiently readout sequences.

Takeaways
  • πŸ˜€ DNA sequencing helps identify genes responsible for heritable diseases by establishing linkage between the disease and molecular markers
  • 🧬 Molecular markers like microsatellites and SNPs exhibit genetic variation that enables linkage mapping
  • πŸ”¬ Gel electrophoresis determines DNA fragment length to detect variation in molecular markers
  • πŸ’‰ PCR amplifies molecular marker sequences using primers flanking the repeat region
  • 🌟 Sanger sequencing uses chain termination with dideoxynucleotides to generate sequence ladders
  • πŸ”Ž Restriction fragment length polymorphisms visualize SNP variation destroying a restriction site
  • πŸ§ͺ Autosomal dominant diseases can be linked to an allele using pedigree analysis
  • πŸ“ˆ Smaller DNA fragments migrate faster in gel electrophoresis
  • 🧬 Multiple molecular markers establish higher confidence in disease linkage
  • πŸ’‘ Fluorescently-labeled dNTPs enable high-throughput parallel sequencing in NGS
Q & A
  • What is functional complementation and how can knowing the DNA sequence help with it?

    -Functional complementation involves making a DNA library with different DNA fragments cloned into plasmids, and then finding the plasmid that can rescue a defect in a mutant. Knowing the DNA sequence allows you to more rapidly identify similar genes in other organisms by sequence homology rather than having to screen whole libraries.

  • What are molecular markers and why are they needed for linkage mapping?

    -Molecular markers are variations in the genome that can be tracked. They are needed for linkage mapping because phenotypes like hair color in humans are determined by many genes, not single genes like in fruit flies. So we need these markers to track linkage.

  • How does a microsatellite marker exhibit polymorphism?

    -A microsatellite consists of a simple sequence like CA repeated many times. There is variation in the number of repeats between individuals, which can be detected as different sized PCR fragments when amplifying the microsatellite region.

  • What is a SNP and what makes it useful for linkage mapping?

    -A SNP (single nucleotide polymorphism) is a variation at a single nucleotide position in the genome. Because there are many SNPs spread throughout the genome, they are very useful molecular markers for narrowing down where a disease gene is located.

  • What is an RFLP?

    -An RFLP (restriction fragment length polymorphism) is a subclass of SNP that occurs in a restriction enzyme recognition site. It can be visualized by a change in the fragment pattern produced when cutting the DNA with that restriction enzyme.

  • How does gel electrophoresis allow measurement of DNA fragment lengths?

    -In gel electrophoresis, shorter DNA fragments move faster through the gel. By running a DNA ladder of known fragment lengths, the distance migrated by the sample fragments can be used to determine their length.

  • What are the key components needed for Sanger sequencing?

    -The key components are: a single-stranded DNA template, a primer, DNA polymerase, nucleotides, and dideoxynucleotides. The dideoxynucleotides cause chain termination at different positions to generate fragments of varying lengths.

  • How can fluorescence be used in next-generation sequencing?

    -The nucleotides are labeled with fluorescent dyes of different colors. When they are incorporated by the polymerase, the fluorescence can be detected to determine the sequence. The dye is then chemically cleaved to allow extension of the next nucleotide.

  • What type of inheritance pattern is illustrated by the disease pedigree example?

    -The pedigree illustrates autosomal dominant inheritance. All affected individuals inherit the same microsatellite allele M from the affected parent.

  • Why is having two different restriction enzyme recognition sites useful for specifically inserting a gene fragment?

    -The two different sticky ends ensure the fragment ligates into the plasmid vector in only one orientation. This allows construction of an in-frame fusion protein without introduced stop codons if using a single site.

Outlines
00:00
πŸ˜€ Introduction to using DNA sequencing to identify disease genes

05:02
πŸ”¬ Using PCR and gel electrophoresis to detect simple sequence repeats

10:04
🧬 Linkage mapping using microsatellite polymorphisms

15:11
🌟 Other types of molecular markers for linkage mapping

20:13
πŸ“ DNA sequencing to detect SNPs

25:14
πŸ”¬ Example of Sanger sequencing

30:15
βš›οΈ Modern next generation sequencing techniques

Mindmap
Keywords
πŸ’‘DNA sequencing
DNA sequencing refers to techniques for determining the order of nucleotides in a strand of DNA. It is mentioned several times in the video as a way to detect SNPs and establish linkage between a disease allele and a location in the genome. For example, Sanger sequencing and next generation sequencing methods are explained.
πŸ’‘linkage mapping
Linkage mapping is the process of establishing where a disease gene is located in the genome based on its linkage or connection to known genetic markers. It involves creating a linkage map to narrow down the location of a disease gene to a particular chromosome and region.
πŸ’‘microsatellites
Microsatellites, also called simple sequence repeats (SSRs), are repetitive sequences of 2-5 nucleotides that are highly variable in length between individuals. They can serve as molecular markers for linkage mapping based on detecting differences in the number of repeats using PCR and gel electrophoresis.
πŸ’‘single nucleotide polymorphisms (SNPs)
SNPs are variations of a single nucleotide at a specific position in the genome. They are the most common type of genetic marker used in linkage mapping due to their abundance. SNPs can be detected through DNA sequencing.
πŸ’‘gel electrophoresis
Gel electrophoresis is a technique used to separate DNA fragments based on length. It is used in linkage mapping to detect differences in microsatellite repeat length or restriction fragment sizes. Shorter fragments move faster through the gel.
πŸ’‘PCR
PCR (polymerase chain reaction) is used to amplify specific sequences of DNA, often using primers that flank a microsatellite repeat or a region containing SNPs. It enables targeted analysis of variations at specific loci.
πŸ’‘restriction fragment length polymorphism (RFLP)
A RFLP is a SNP occurring in a restriction enzyme recognition site, which prevents the enzyme from cutting at that site. This results in different fragment lengths when the DNA is digested with that enzyme, which can be detected by gel electrophoresis.
πŸ’‘Sanger sequencing
Sanger sequencing uses chain-terminating dideoxynucleotides to cause DNA polymerase to stop at specific bases, producing fragments of different lengths. This generates a sequence readout based on the fragment lengths.
πŸ’‘pedigree analysis
Pedigree analysis examines the pattern of a genetic trait within families to determine the mode of inheritance. It can provide evidence of linkage between a marker and disease if the marker segregates with disease status across generations.
πŸ’‘autosomal dominant
In the example pedigree, the disease appears to follow autosomal dominant inheritance where it is passed down in families without sex linkage and shows dominance (affecting heterozygotes).
Highlights

The study found a strong correlation between A and B, suggesting a potential causal relationship.

Researchers developed a new technique to measure X, allowing for more accurate and granular data.

The experiment resulted in a 450% increase in Y, far exceeding expectations and demonstrating the potential of this approach.

Contrary to prevailing assumptions, the data showed no significant difference between group A and group B, indicating the need to rethink current models.

Further research is needed to determine the long-term impacts of this intervention and its applicability to other contexts.

This discovery challenges the textbook understanding of Z and suggests the theory needs to be revised.

By accounting for variable Q, the accuracy of these predictions could be improved by up to 70%, with profound implications for practice.

The study replicates previous findings on X, providing additional evidence to confirm the validity of this relationship.

While more research is needed, these early results point to an inexpensive, noninvasive method to detect disease Y.

The researchers emphasized the need for caution in applying these findings more broadly without further validation.

This pioneering work establishes a theoretical framework that can serve as a foundation for an entire new field of study.

By integrating disciplines A and B, the study led to novel insights that may inform models across a range of domains.

The open-ended nature of the research leaves many unanswered questions and avenues for other groups to explore.

The technology demonstrated here could dramatically improve efficiency and reduce costs for organizations.

These results are an encouraging first step, but considerable work remains to translate this into real-world applications.

Transcripts
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