Unit 3 Flashcards

1
Q

Chain termination (Sanger) method

A

a. Introduce florescent terminator bases to end the sequence on a specific base
b. Different sized DNA fragments are made, ending with the color representing the base it ended with.

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2
Q

Problems with the Chain termination (Sanger) method

A

Requires a sequence-specific primer, poor sequence near the primer, only good form 100-1000 base pairs of sequence

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3
Q

De novo sequencing

A

For only completely unknown sequences where you can’t generate a primer.

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4
Q

Chromosome/Primer Walking

A

Use previously generated sequence to design a primer for the next piece

a. Takes time – you can;t start sequencing the next piece until you’ve finished the first
b. You have to start from a known sequence (for the first primer)

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5
Q

Shotgun sequencing

A

Good for longer stretches.

  1. Break the genome into smaller, random pieces
  2. Clone those pieces into plasmids
  3. Sequence the pieces
  4. Use computers to identify overlapping regions and put the sequences together
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6
Q

Shotgun sequencing problems

A

Repeated regions make the assembly of the fragments difficult

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7
Q

How does knowing genetic sequences help you?

A
  1. Genetic diseases
  2. Genetic susceptibilities
  3. Reactions to certain medications
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8
Q

What are some concerns about using genetic information in disease treatment?

A

a. Tailor-made medicines might be more expensive
b. Not everyone might have access to new treatments
c. Keeping genetic information private
d. Possible discrimination at work and from health insurance companies
e. Need for more information about this type of medicine

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9
Q

Two main types of Research

A

A. Application of Data to Biology (NHGRI: National Human Genome Research Institute)
B. Bioinformatics methods (NHGRI: Genome Tech Branch)

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10
Q

Epigenitics

A

Heritable changes in gene activity that are not caused by the DNA sequence

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11
Q

Sequence mining: How do variations in human DNA lead to differences in our phenotypes?

A

Humans differ by ~1/1000 base pairs, most sequence variations are in non-coding regions

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12
Q

Sequence mining: How do we assess significant differences?

A
  1. Multifactor Dimensionality Reduction – looks for patterns in a set of data, cross-validate by comparing with other data sets. (Ex: Study of Susceptibility to Pulmonary Tuberculosis)
  2. P value analysis determines if a correlation is significant (0-1, small p value <0.05 (marginal) and large >0.05 (random)
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13
Q

SNP

A

Regions in the genome where single-base mutations are common

  • SNPs can be in coding regions of the DNA but most are not
  • most SNPs have only 2 alleles
  • SNPs that change the amino acids of a protein are called non synonymous
  • SNPs that do not affect the protein sequence are synonymous
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14
Q

How can I use SNPs to more easily compare people’s genomes?

A

a. Make a chip containing the DNAs with the SNPs
b. Hybridize with DNA from the person of interest
c. If the patient has the same allele as the chip, there will be a strong hybridization
d. Allows you to only look at regions that will have a difference in the sequence
e. You can see the COMBINATION of SNPs that are associated with the individual.

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15
Q

The HapMap

A

A catalog of the most common genetic variants in humans

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16
Q

CNV (Copy number variation)

A

Some large stretches of DNA are missing in some people and duplicated in others, can be used to determine population subtypes

17
Q

SNPs (Single nucleotide polymorphisms)

A

Where the DNA differs by 1 base pair

18
Q

VNTRs (Variable number of Tandem Repeats)

A

Areas of the genome where there are lots of repeated small sequences can have variable numbers of repeats
-Results in RFLPs (Restriction Fragment Length Polymorphisms)

19
Q

Convergent evolution

A

Some species will develop similar traits due to the same environmental pressures
-ex: dolphins, shark, penguin

20
Q

Divergent evolution

A

The accumulation of differences between groups which can lead to the formation of new species

21
Q

What types of Mutations are there?

A

a. Mutations within a gene
b. Mutations within the regulatory sequences of a gene
c. Gene duplication
d. Exon shuffling
e. Horizontal gene transfer

22
Q

Mutations within a gene can change the encoded protein the following ways

A

a. Silent
b. Missense/Nonsense
c. Deletions
d. Exon duplications

23
Q

Gene duplication

A

Any duplication of a region of DNA that contains a gene.

-Allows for more changed to be preserved, allowing for new functions and expression patterns to emerge

24
Q

Horizontal gene transfer

A

Genes from different genomes are exchanged

25
Q

Exon shuffling

A

Where exons from different genes get combined to form a new gene

26
Q

Neutral Regions

A

DNA segments without active roles in the cell will be a reflection of the frequency of random mutation

27
Q

Phylogenetics

A

The study of evolutionary relationships among organisms (species, populations, individuals, ect.)

28
Q

Rooted Phylogenetic Trees

A

Start with the Most Recent Common Ancestor (MCRA)

29
Q

Unrooted Phylogenetic Trees

A

Unrooted trees directly compare the input species/individuals without a MRCA

30
Q

Phylogenetic Tree

A

a branching diagram or “tree” showing the inferred evolutionary relationships among various biological species or other entities—their phylogeny—based upon similarities and differences in their physical or genetic characteristics.