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Microsatellites
What is microsatellite
• Simple Sequence Repeats (SSR)
• 1-6 bp long
Classification of Microsatellites
• Simple microsatelltes
• Composite microsatellites
Simple
microsatellites
contain
only
one
kind
of
repeat
sequences:
(GT)n (AC)n (AG)n
Composite
microsatellites
contain
more
than
one
type
repeats
Molecular Basis of Microsatellite
Polymorphism
Different by 3 repeats
• Slippage of DNA polymerase is believed to be the major cause of
microsatellite variation
• The mutation rate can be as high as 0.1 to 0.2% per generation
Abundant and Even Distribution
Abundant
• Abundance varies with species, but all species
studied to date have miocrosatellites
• In well studied mammal species, one
microsatellite exist in every 30-40 kb DNA.
Even distribution
• On all chromosomes
• On all segments of chromosomes
• With genes
• Often in introns
• In exons as well
• Trinucleotide repeats and human diseases:
Huntington disease, fragile X, and other mental
retardation-related human diseases
2
3
6
1
Small Locus sizes adapt them for PCR
PCR
Microsatellites are co-dominant
markers
AD BC
Allele A
Allele B
Allele C
Allele D
BD CD AC AB BD AC BD AB
AB CD BC CC
Mendelian Inheritance of Microsatellites
Liu et al. 1999. Biochem. Biophys. Res Comm. 259: 190-194
Liu et al. 1999. J. Heredity 90: 307-311.
Microsatellites are inherited as codominant markers according
to Mendelian laws
Advantages of Microsatellite Markers
Abundant
Evenly
distributed
Highly
polymorphic
Small
loci
Co-dominant
Development of
microsatellite markers
Need
• SSR containing clones
• Sequences of the flanking regions of SSR
Genomic DNA
Microsatellites-enriched
Small-insert DNA Libraries (I)
Digest with several 4-bp blunt enders
Gel fraction of 300-600 bp
Ligation to a phagemid vector
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
insert
Small insert
3.4 kb
micro
Small insert
3.5 kb
insert
Small insert plasmids
3.5 kb
insert
Small insert plasmids
3.5 kb
insert
Small insert plasmids
3.5 kb
in
micro
sert
Small insert plasmids
3.5 kb
Conversion into single-stranded
phagemids using helper phage
Single-stranded phagemids
3.5 kb
Single-stranded phagemids
3.5 kb
Single-stranded phagemids
3.5 kb
micro
Single-stranded phagemids
3.5 kb
Won’t be converted to ds
will be degraded in WT host
Using dut/ung-
CJ236 strain
u
u
u
u
u
u
uu
u
u
u
u
u
Microsatellites-enriched Libraries (II)
micro
Single-stranded phagemids
3.5 kb
Convert into ds
using (CA)15 (e.g.)
micro
3.5 kb
micro
ds plasmids
3.5 kb
u
u
u
Transform into
WT E. coli
micro
ds plasmids
3.5 kb
Microsatellite-enriched Libraries (III)
According to Ostrander et al., 1992: PNAS 89:3419
Microsatellites-enriched
Libraries
CA
GA
TA
CG
CT
GT
CAA
CAT
CAG
CAC
CGG
CGT
CGC
CGA
...
4 bp 5 bp
Characterization
of Microsatellites
• Isolate plasmid DNA;
• sequence clones;
• Identify clones with enough sequences
for primer design.
PCR Optimization and PIC Analysis
• PCR products best <200 bp
• PCR conditions: annealing temperature, Mg++, pH,
DMSO, etc.
• Polymorphism information content
• Polymorphism in reference families
Disadvantages of microsatellites
• Previous genetic information is needed
• Huge Upfront work required
• Problems associated with PCR of microsatellites
The concept of Polymorphic
information content
• Measures the usefulness of a marker
• Informativeness in specific families
1. AA x AA
4. AA x AB
Not polymorphic
B segregates 1:1,
A segregates with intensity 1:1
6. AØ x AB
2. AA x BB
5. AA x BØ
No segregation
A not segregate
B segregates 1:1
A segregates 3:1,
B segregates 1:1
3. AØ x ØØ Only 1 allele
segregating 1:1
7. AB x AB A segregates 3:1,
B segregates 3:1
Microsatellite Genotyping
Microsatellite Genotyping
8. AØ x BØ
9. AB x ØØ
10. AA x BC
11. AØ x BC
12. AB x AC
13. AB x CD
A segregates 1:1,
B segregates 1:1
A segregates 1:1, B segregates
1:1, A & B alternating
2 of the 3 alleles
segregating 1:1
All 3 alleles segregating 1:1,
2 types with only 1 allele
2 of 3 alleles segregating 1:1,
the other 3:1 with a single allele
existing for some individuals
All 4 alleles
segregating 1:1
• PIC refers to the value of a marker for detecting
polymorphism within a population
• PIC depends on the number of detectable alleles
and the distribution of their frequency.
• Bostein et al. (1980) Am. J. Hum Genet. 32:314-
331.
• Anderson et al. (1993). Genome 36: 181-186.
Polymorphic Information Content PIC)
n
PICi = 1-∑ Pij2
j=1
Where PICi is the polymorphic information content
of a marker i; Pij is the frequency
of the jth pattern for marker i and the summation
extends over n patterns
Polymorphic Information Content (PIC)
n
PICi = 1-∑ Pij2
j=1
Example: Marker A has two alleles, first allele has a
frequency of 30%, the second allele has a
frequency of 70%
PICa = 1- (0.32 + 0.72) = 1- (0.09 + 0.49) = 0.42
Polymorphic Information Content PIC)
n
PICi = 1-∑ Pij2
j=1
Example: Marker B has two alleles, first allele has a
frequency of 50%, the second allele has a
frequency of 50%
PICb = 1- (0.52 + 0.52) = 1- (0.25 + 0.25) = 0.5
Polymorphic Information Content PIC)
n
PICi = 1-∑ Pij2
j=1
Example: Marker C has two alleles, first allele has a
frequency of 90%, the second allele has a
frequency of 10%
PICc = 1- (0.92 + 0.12) = 1- (0.81 + 0.01) = 0.18
Polymorphic Information Content PIC)
n
PICi = 1-∑ Pij2
j=1
Example: Marker D has 10 alleles, each allele has a
frequency of 10%
PICd = 1- [10 x 0.12] = 1- 0.1 = 0.9
Polymorphic Information Content PIC)
Allele frequency and Forensics
• Say, we have 10 marker loci
• We have done adequate population genetics to
know each one have a 10% distribution
• Test of each locus can define certain level of
confidence as to what the probability is to obtain
the results you are obtaining.
Allele frequency and Forensics
• Locus 1, positive
• You are included, but every one out of 10 people
has the chance to be positive
• locus 2, positive
• You are included, but every one out of 100
people has the chance to be positive at both
locus 1 and locus 2
• …
• Locus 10, also posive
• ...

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14. marking the genome microsatellites

  • 2. What is microsatellite • Simple Sequence Repeats (SSR) • 1-6 bp long
  • 3. Classification of Microsatellites • Simple microsatelltes • Composite microsatellites
  • 6. Molecular Basis of Microsatellite Polymorphism Different by 3 repeats • Slippage of DNA polymerase is believed to be the major cause of microsatellite variation • The mutation rate can be as high as 0.1 to 0.2% per generation
  • 7. Abundant and Even Distribution
  • 8. Abundant • Abundance varies with species, but all species studied to date have miocrosatellites • In well studied mammal species, one microsatellite exist in every 30-40 kb DNA.
  • 9. Even distribution • On all chromosomes • On all segments of chromosomes • With genes • Often in introns • In exons as well • Trinucleotide repeats and human diseases: Huntington disease, fragile X, and other mental retardation-related human diseases
  • 10. 2 3 6 1 Small Locus sizes adapt them for PCR PCR
  • 11. Microsatellites are co-dominant markers AD BC Allele A Allele B Allele C Allele D BD CD AC AB BD AC BD AB AB CD BC CC
  • 12. Mendelian Inheritance of Microsatellites Liu et al. 1999. Biochem. Biophys. Res Comm. 259: 190-194 Liu et al. 1999. J. Heredity 90: 307-311. Microsatellites are inherited as codominant markers according to Mendelian laws
  • 13. Advantages of Microsatellite Markers Abundant Evenly distributed Highly polymorphic Small loci Co-dominant
  • 15. Need • SSR containing clones • Sequences of the flanking regions of SSR
  • 16. Genomic DNA Microsatellites-enriched Small-insert DNA Libraries (I) Digest with several 4-bp blunt enders Gel fraction of 300-600 bp Ligation to a phagemid vector insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb micro Small insert 3.5 kb
  • 17. insert Small insert plasmids 3.5 kb insert Small insert plasmids 3.5 kb insert Small insert plasmids 3.5 kb in micro sert Small insert plasmids 3.5 kb Conversion into single-stranded phagemids using helper phage Single-stranded phagemids 3.5 kb Single-stranded phagemids 3.5 kb Single-stranded phagemids 3.5 kb micro Single-stranded phagemids 3.5 kb Won’t be converted to ds will be degraded in WT host Using dut/ung- CJ236 strain u u u u u u uu u u u u u Microsatellites-enriched Libraries (II)
  • 18. micro Single-stranded phagemids 3.5 kb Convert into ds using (CA)15 (e.g.) micro 3.5 kb micro ds plasmids 3.5 kb u u u Transform into WT E. coli micro ds plasmids 3.5 kb Microsatellite-enriched Libraries (III) According to Ostrander et al., 1992: PNAS 89:3419
  • 20. Characterization of Microsatellites • Isolate plasmid DNA; • sequence clones; • Identify clones with enough sequences for primer design.
  • 21. PCR Optimization and PIC Analysis • PCR products best <200 bp • PCR conditions: annealing temperature, Mg++, pH, DMSO, etc. • Polymorphism information content • Polymorphism in reference families
  • 22. Disadvantages of microsatellites • Previous genetic information is needed • Huge Upfront work required • Problems associated with PCR of microsatellites
  • 23. The concept of Polymorphic information content • Measures the usefulness of a marker • Informativeness in specific families
  • 24. 1. AA x AA 4. AA x AB Not polymorphic B segregates 1:1, A segregates with intensity 1:1 6. AØ x AB 2. AA x BB 5. AA x BØ No segregation A not segregate B segregates 1:1 A segregates 3:1, B segregates 1:1 3. AØ x ØØ Only 1 allele segregating 1:1 7. AB x AB A segregates 3:1, B segregates 3:1 Microsatellite Genotyping
  • 25. Microsatellite Genotyping 8. AØ x BØ 9. AB x ØØ 10. AA x BC 11. AØ x BC 12. AB x AC 13. AB x CD A segregates 1:1, B segregates 1:1 A segregates 1:1, B segregates 1:1, A & B alternating 2 of the 3 alleles segregating 1:1 All 3 alleles segregating 1:1, 2 types with only 1 allele 2 of 3 alleles segregating 1:1, the other 3:1 with a single allele existing for some individuals All 4 alleles segregating 1:1
  • 26. • PIC refers to the value of a marker for detecting polymorphism within a population • PIC depends on the number of detectable alleles and the distribution of their frequency. • Bostein et al. (1980) Am. J. Hum Genet. 32:314- 331. • Anderson et al. (1993). Genome 36: 181-186. Polymorphic Information Content PIC)
  • 27. n PICi = 1-∑ Pij2 j=1 Where PICi is the polymorphic information content of a marker i; Pij is the frequency of the jth pattern for marker i and the summation extends over n patterns Polymorphic Information Content (PIC)
  • 28. n PICi = 1-∑ Pij2 j=1 Example: Marker A has two alleles, first allele has a frequency of 30%, the second allele has a frequency of 70% PICa = 1- (0.32 + 0.72) = 1- (0.09 + 0.49) = 0.42 Polymorphic Information Content PIC)
  • 29. n PICi = 1-∑ Pij2 j=1 Example: Marker B has two alleles, first allele has a frequency of 50%, the second allele has a frequency of 50% PICb = 1- (0.52 + 0.52) = 1- (0.25 + 0.25) = 0.5 Polymorphic Information Content PIC)
  • 30. n PICi = 1-∑ Pij2 j=1 Example: Marker C has two alleles, first allele has a frequency of 90%, the second allele has a frequency of 10% PICc = 1- (0.92 + 0.12) = 1- (0.81 + 0.01) = 0.18 Polymorphic Information Content PIC)
  • 31. n PICi = 1-∑ Pij2 j=1 Example: Marker D has 10 alleles, each allele has a frequency of 10% PICd = 1- [10 x 0.12] = 1- 0.1 = 0.9 Polymorphic Information Content PIC)
  • 32. Allele frequency and Forensics • Say, we have 10 marker loci • We have done adequate population genetics to know each one have a 10% distribution • Test of each locus can define certain level of confidence as to what the probability is to obtain the results you are obtaining.
  • 33. Allele frequency and Forensics • Locus 1, positive • You are included, but every one out of 10 people has the chance to be positive • locus 2, positive • You are included, but every one out of 100 people has the chance to be positive at both locus 1 and locus 2 • … • Locus 10, also posive • ...