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Microsatellites
What is microsatellite
• Simple Sequence Repeats (SSR)
• 1-6 bp long
Classification of Microsatellites

• Simple microsatelltes
• Composite microsatellites
(GT)n (AC)n (AG)n

Simple
microsatellites
contain
only
one
kind
of
repeat
sequences:
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
Small Locus sizes adapt them for PCR

PCR
2
6 3
1
Microsatellites are co-dominant
markers
AB

BC

CD

BC

AD

BD

Allele A

Allele B
Allele C
Allele D

CC

CD

AC

AB

BD

AC

BD

AB
Mendelian Inheritance of Microsatellites

Microsatellites are inherited as codominant markers according
to Mendelian laws
Liu et al. 1999. Biochem. Biophys. Res Comm. 259: 190-194
Liu et al. 1999. J. Heredity 90: 307-311.
Advantages of Microsatellite Markers

Abundant

Evenly
distributed

Highly
polymorphic

Co-dominant

Small
loci
Development of
microsatellite markers
Need

•
•

SSR containing clones
Sequences of the flanking regions of SSR
Microsatellites-enriched
Small-insert DNA Libraries (I)
Genomic DNA
Digest with several 4-bp blunt enders
Gel fraction of 300-600 bp
Ligation to a phagemid vector
insert

insert

insert

insert

micro
Small insert
3.5 kb

insert

Small insert
3.4 kb

Small insert
Small insert

Small insert

Small insert

3.4 kb

3.4 kb

3.4 kb

insert

Small insert
3.4 kb

insert

Small insert
3.4 kb

insert

Small insert
3.4 kb

3.4 kb

insert

Small insert
3.4 kb
Microsatellites-enriched Libraries (II)
micro
insert

insert

Small insert plasmids
3.5 kb

Small insert plasmids
3.5 kb

insert

in sert

Small insert plasmids
3.5 kb

Small insert plasmids
3.5 kb

Using dut/ungCJ236 strain
u
u

u

Single-stranded phagemids
3.5 kb

Conversion into single-stranded
phagemids using helper phage
u
micro u
u
u
u
u
u
u
u
u
Single-stranded phagemids
Single-stranded phagemids
Single-stranded phagemids
3.5 kb

3.5 kb

Won’t be converted to ds
will be degraded in WT host

3.5 kb
Microsatellite-enriched Libraries (III)
micro

Convert into ds

micro

u micro
ds plasmids

using (CA)15 (e.g.)
Single-stranded phagemids
3.5 kb

u

Transform into
WT E. coli

u
3.5 kb
3.5 kb

micro
ds plasmids
3.5 kb

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
Microsatellite Genotyping

1. AA x AA

Not polymorphic

2. AA x BB

No segregation

3. AØ x ØØ

Only 1 allele
segregating 1:1

4. AA x AB

B segregates 1:1,
A segregates with intensity 1:1

5. AA x BØ

A not segregate
B segregates 1:1

6. AØ x AB

A segregates 3:1,
B segregates 1:1

7. AB x AB

A segregates 3:1,
B segregates 3:1
Microsatellite Genotyping

8. AØ x BØ

A segregates 1:1,
B segregates 1:1

9. AB x ØØ

A segregates 1:1, B segregates
1:1, A & B alternating

10. AA x BC

2 of the 3 alleles
segregating 1:1

11. AØ x BC

All 3 alleles segregating 1:1,
2 types with only 1 allele

12. AB x AC

2 of 3 alleles segregating 1:1,
the other 3:1 with a single allele
existing for some individuals

13. AB x CD

All 4 alleles
segregating 1:1
Polymorphic Information Content PIC)
•

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. 32:314331.
• 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
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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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. Small Locus sizes adapt them for PCR PCR 2 6 3 1
  • 11. Microsatellites are co-dominant markers AB BC CD BC AD BD Allele A Allele B Allele C Allele D CC CD AC AB BD AC BD AB
  • 12. Mendelian Inheritance of Microsatellites Microsatellites are inherited as codominant markers according to Mendelian laws Liu et al. 1999. Biochem. Biophys. Res Comm. 259: 190-194 Liu et al. 1999. J. Heredity 90: 307-311.
  • 13. Advantages of Microsatellite Markers Abundant Evenly distributed Highly polymorphic Co-dominant Small loci
  • 15. Need • • SSR containing clones Sequences of the flanking regions of SSR
  • 16. Microsatellites-enriched Small-insert DNA Libraries (I) Genomic DNA Digest with several 4-bp blunt enders Gel fraction of 300-600 bp Ligation to a phagemid vector insert insert insert insert micro Small insert 3.5 kb insert Small insert 3.4 kb Small insert Small insert Small insert Small insert 3.4 kb 3.4 kb 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb insert Small insert 3.4 kb 3.4 kb insert Small insert 3.4 kb
  • 17. Microsatellites-enriched Libraries (II) micro insert insert Small insert plasmids 3.5 kb Small insert plasmids 3.5 kb insert in sert Small insert plasmids 3.5 kb Small insert plasmids 3.5 kb Using dut/ungCJ236 strain u u u Single-stranded phagemids 3.5 kb Conversion into single-stranded phagemids using helper phage u micro u u u u u u u u u Single-stranded phagemids Single-stranded phagemids Single-stranded phagemids 3.5 kb 3.5 kb Won’t be converted to ds will be degraded in WT host 3.5 kb
  • 18. Microsatellite-enriched Libraries (III) micro Convert into ds micro u micro ds plasmids using (CA)15 (e.g.) Single-stranded phagemids 3.5 kb u Transform into WT E. coli u 3.5 kb 3.5 kb micro ds plasmids 3.5 kb 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. Microsatellite Genotyping 1. AA x AA Not polymorphic 2. AA x BB No segregation 3. AØ x ØØ Only 1 allele segregating 1:1 4. AA x AB B segregates 1:1, A segregates with intensity 1:1 5. AA x BØ A not segregate B segregates 1:1 6. AØ x AB A segregates 3:1, B segregates 1:1 7. AB x AB A segregates 3:1, B segregates 3:1
  • 25. Microsatellite Genotyping 8. AØ x BØ A segregates 1:1, B segregates 1:1 9. AB x ØØ A segregates 1:1, B segregates 1:1, A & B alternating 10. AA x BC 2 of the 3 alleles segregating 1:1 11. AØ x BC All 3 alleles segregating 1:1, 2 types with only 1 allele 12. AB x AC 2 of 3 alleles segregating 1:1, the other 3:1 with a single allele existing for some individuals 13. AB x CD All 4 alleles segregating 1:1
  • 26. Polymorphic Information Content PIC) • 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. 32:314331. • Anderson et al. (1993). Genome 36: 181-186.
  • 27. 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
  • 28. 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
  • 29. 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
  • 30. 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
  • 31. 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
  • 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 • ...