genome composition

54
1 Genome Genome Composition Composition Dan Graur Dan Graur

Upload: kynan

Post on 09-Jan-2016

30 views

Category:

Documents


0 download

DESCRIPTION

Genome Composition. Dan Graur. Genome Composition in Bacteria. Carsonella ruddii has a very low GC content. The selectionist explanation views GC content as an adaptation. G:C pairs are more stable than A:T pairs. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Genome Composition

1

Genome CompositionGenome Composition

Dan GraurDan Graur

Page 2: Genome Composition

2

Genome Genome Composition in Composition in

BacteriaBacteria

Page 3: Genome Composition

Carsonella ruddii has a very low GC content.

Page 4: Genome Composition

4

Page 5: Genome Composition

5

The selectionist explanation views GC content as an adaptation.

G:C pairs are more stable than A:T pairs.

Preferential usage of amino acids encoded by GC-rich codons (e.g., ala and arg) and avoidance of amino acids encoded by GC-poor codons (e.g., ser and lys).

T-T dimers are sensitive to UV radiation.

NoNoempiricalempiricalevidenceevidence

Page 6: Genome Composition

6

The mutationist explanation

Rate of substitution G/C T/A is Rate of substitution T/A G/C is

Noboru SueokaUniversity of Colorado

Page 7: Genome Composition

7

at equilibrium: PGC =ν

ν +μ

Page 8: Genome Composition

8

GC mutational pressure: μν

=1−PGCPGC

Page 9: Genome Composition

9

μν

=3 ⇒ 25% GC

μν

=1 ⇒ 50% GC

μν

=.33 ⇒ 75% GC

Mycoplasma capricolum

Escherichia coli

Micrococcus luteus

Page 10: Genome Composition

10

Page 11: Genome Composition

11

Differences in the way the leading and lagging strands of DNA are replicated can result in strand-dependent mutation patterns.

The expectation under no-strand-bias conditions is

fA = fT and fC = fG

Page 12: Genome Composition

12

Deviations from equal Deviations from equal

mutation rates between the mutation rates between the

two strands are quantified by two strands are quantified by

the the skewskew..

Page 13: Genome Composition

13

SX=Y =fX −fYfX +fY

The skew is a measure of inequality between the frequencies of nucleotides X and Y on a strand.

Page 14: Genome Composition

14

If there are no violations of the no-strand-bias conditions:

SX=Y

=0

Page 15: Genome Composition

15

Skew values are calculated for sliding windows of predetermined lengths, and are plotted on a skew diagram.

Page 16: Genome Composition

16

Bacillus subtilis

chirochorechirochore chirochorechirochore

Page 17: Genome Composition

17

Page 18: Genome Composition

18

Chlamidia trachomatis

Page 19: Genome Composition

19

Compositional Properties of Eukaryotic Genomes

Page 20: Genome Composition

20

GC content of bacterial genomes ranges from ~24% to ~74%

Intergenomicvariability

GC content of vertebrate genomes ranges from ~40% to ~45%

Page 21: Genome Composition

21

TTGACCGATGACCCCGGTTCAGGCTTCACCACAGTGTGGAACGCGGTCGTCTCCGAACTTAACGGCGACCCTAAGGTTGACGACGGACCCAGCAGTGATGCTAATCTCAGCGCTCCGCTGACCCCTCAGCAAAGGGCTTGGCTCAATCTCGTCCAGCCATTGACCATCGTCGAGGGGTTTGCTCTGTTATCCGTGCCGAGCAGCTTTGTCCAAAACGAAATCGAGCGCCATCTGCGGGCCCCGATTACCGACGCTCTCAGCCGCCGACTCGGACATCAGATCCAACTCGGGGTCCGCATCGCTCCGCCGGCGACCGACGAAGCCGACGACACTACCGTGCCGCCTTCCGAGAGATTGATGACAGCGCTGCGGCACGGGGCGATAACCAGCACAGTTGGCCAAGTTACTTCACCGAGCGCCCGCACAATACCGATTCCGCTACCGCTGGCGTAACCAGCCTTAACCGTCGCTACACCTTTGATACGTTCGTTATCGGCGCCTCCAACCGGTTCGCGCACGCCGCCGCCTTGGCGATCGCAGAAGCACCCGCCCGCGCTTACAACCCCCTGTTCATCTGGGGCGAGTCCGGTCTCGGCAAGACACACCTGCTACACGCGGCAGGCAACTATGCCCAACGGTTGTTCCCGGGAATGCGGGTCAAATATGTCTCCACCGAGGAATTCACCAACGACTTCATTAACTCGCTCCGCGATGACCGCAAGGTCGCATTCAAACGCAGCTACCGCGACGTAGACGTGCTGTTGGTCGACGACATCCAATTCATTGAAGGCAAAGAGGGTATTCAAGAGGAGTTCTTCCACACCTTCAACACCTTGCACAATGCCAACAAGCAAATCGTCATCTCATCTGACCGCCCACCCAAGCAGCTCGCCACCCTCGAGGACCGGCTGAGAACCCGCTTTGAGTGGGGGCTGATCACTGACGTACAACCACCCGAGCTGGAGACCCGCATCGCCATCTTGCGCAAGAAAGCACAGATGGAACGGCTCGCGGTCCCCGACGATGTCCTCGAACTCATCGCCAGCAGTATCGAACGCAATATCCGTGAACTCGAGGCCGAGGAATTCACCAACGACTTCATTAACTCGCTCCGCGATGACCGCAAGGTCGCATTCAAACGCAGCTACCGCGACGTAGACGTGCTGTTGGTCGACGACATCCAATTCATTGAAGGCAAAG

Interspecific variation among vertebrate genomes is low. However, vertebrates seem to have a much more complex intragenomic compositional organization (internal structure) than prokaryotic genomes.

Page 22: Genome Composition

22

TTGACCGATGACCCCGGTTCAGGCTTCACCACAGTGTGGAACGCGGTCGTCTCCGAACTTAACGGCGACCCTAAGGTTGACGACGGACCCAGCAGTGATGCTAATCTCAGCGCTCCGCTGACCCCTCAGCAAAGGGCTTGGCTCAATCTCGTCCAGCCATTGACCATCGTCGAGGGGTTTGCTCTGTTATCCGTGCCGAGCAGCTTTGTCCAAAACGAAATCGAGCGCCATCTGCGGGCCCCGATTACCGACGCTCTCAGCCGCCGACTCGGACATCAGATCCAACTCGGGGTCCGCATCGCTCCGCCGGCGACCGACGAAGCCGACGACACTACCGTGCCGCCTTCCGAGAGATTGATGACAGCGCTGCGGCACGGGGCGATAACCAGCACAGTTGGCCAAGTTACTTCACCGAGCGCCCGCACAATACCGATTCCGCTACCGCTGGCGTAACCAGCCTTAACCGTCGCTACACCTTTGATACGTTCGTTATCGGCGCCTCCAACCGGTTCGCGCACGCCGCCGCCTTGGCGATCGCAGAAGCACCCGCCCGCGCTTACAACCCCCTGTTCATCTGGGGCGAGTCCGGTCTCGGCAAGACACACCTGCTACACGCGGCAGGCAACTATGCCCAACGGTTGTTCCCGGGAATGCGGGTCAAATATGTCTCCACCGAGGAATTCACCAACGACTTCATTAACTCGCTCCGCGATGACCGCAAGGTCGCATTCAAACGCAGCTACCGCGACGTAGACGTGCTGTTGGTCGACGACATCCAATTCATTGAAGGCAAAGAGGGTATTCAAGAGGAGTTCTTCCACACCTTCAACACCTTGCACAATGCCAACAAGCAAATCGTCATCTCATCTGACCGCCCACCCAAGCAGCTCGCCACCCTCGAGGACCGGCTGAGAACCCGCTTTGAGTGGGGGCTGATCACTGACGTACAACCACCCGAGCTGGAGACCCGCATCGCCATCTTGCGCAAGAAAGCACAGATGGAACGGCTCGCGGTCCCCGACGATGTCCTCGAACTCATCGCCAGCAGTATCGAACGCAATATCCGTGAACTCGAGGCCGAGGAATTCACCAACGACTTCATTAACTCGCTCCGCGATGACCGCAAGGTCGCATTCAAACGCAGCTACCGCGACGTAGACGTGCTGTTGGTCGACGACATCCAATTCATTGAAGGCAAAG

How are nucleotides distributed along the genome?Uniform? Patchy? Clines?

Page 23: Genome Composition

23

“When vertebrate genomic DNA is randomly sheared into fragments 30-100 kb in size and the fragments are separated by base composition, the fragments cluster into a small number of classes distinguished from each other by their GC content. Each class is characterized by bands of similar, but not identical, base compositions.”

(Macaya et al. 1976; Thiery et al. 1976; Bernardi et al. 1985)

Equilibrium centrifugation in Cs2SO4 density gradient

Page 24: Genome Composition

24

carp

Page 25: Genome Composition

25

The Isochore Theory - Giorgio Bernardi

carp

Page 26: Genome Composition

26

Page 27: Genome Composition

27

Isochores do not merit the prefix “iso.”

Lander et al. (2001)

Page 28: Genome Composition

28

Post genomic era (2001)

Objections against the isochore theory:Objections against the isochore theory:

““We can rule out a strict notion of isochores as We can rule out a strict notion of isochores as compositionally homogeneous.”compositionally homogeneous.” Lander et al. (2001) Lander et al. (2001)

““There are no isochores in chromosomes 21 and 22.”There are no isochores in chromosomes 21 and 22.” Häring and Kyper (2001)Häring and Kyper (2001)

Defense of the isochore theory:Defense of the isochore theory:

““The conclusion of the authors that ‘isochores’ are The conclusion of the authors that ‘isochores’ are not ‘strict isochores’ is correct, however isochore are not ‘strict isochores’ is correct, however isochore are fairlyfairly homogeneous regions.” homogeneous regions.” Bernardi (2001) Bernardi (2001)

Page 29: Genome Composition

29

Page 30: Genome Composition

30

In search of isochores…

Questions: Do isochores exist? Is the isochore theory a useful (or practical)

concept?

Page 31: Genome Composition

31

Segmentation Models

• Assumption: Sequences can be partitioned into a number of segments each with a characteristic GC content.

• Each segment has a certain degree of internal homogeneity (or similarity).

Page 32: Genome Composition

32

In search of isochores…

Methodology: Define rigorously 6 attributes of isochores and

of the isochore theory as applied to humans Test attributes against the human genome

data

Page 33: Genome Composition

33

Attributes of isochores

A1. Distinguishability: An isochore is a DNA segment that has a characteristic GC content that differs significantly from the GC content of adjacent isochores.

A2. Homogeneity: An isochore is more homogeneous in its composition than the chromosome on which it resides.

A3. Minimum length: The length of an isochore exceeds a certain cutoff value. In the literature, the most commonly mentioned value is 300 Kb.

Page 34: Genome Composition

34

Attributes of the isochore theory in humans

A4. Genome coverage: The overwhelming majority of the human genome consists of segments abiding by A1-A3. Non-isochoric DNA takes up only a small fraction of the genome.

Page 35: Genome Composition

35

A5. Isochore families: The human genome comprises of five isochore families, each described by a particular Gaussian distribution of GC content.

Attributes of the isochore theory in humans

Page 36: Genome Composition

36

A6. Isochore assignment into families: It is possible to classify each isochore into its isochore family based solely on its compositional properties.

Practicality of the isochore theory

Page 37: Genome Composition

37

Segment length distribution

The fitted regression line

(solid line) indicates that

the tail of the distribution

exhibits power-law decay

with an exponent of –2.38.

P L–2.38

Page 38: Genome Composition

38

Power laws everywhere!

Page 39: Genome Composition

39

Isochore families

1

2

3

4

Most parsimonious Gaussian fit to putative isochores

Page 40: Genome Composition

40

Homogeneous “isochores” in vertebrates

Page 41: Genome Composition

41

Assignment into families

Classification errors reach values of 70%. Only a minute fraction of segments can be classified with an expected error under 5%.

Page 42: Genome Composition

42

Summary

(A1) Distinguishability

(A2) Homogeneity

(A3) Minimum length X

(A1) Genome coverage

(A2) Isochore families families

(A3) Isochore assignment into families X

Page 43: Genome Composition

43

Conclusion:

The isochore theory may have reached the limits of its usefulness as a description of genomic compositional structures.

Page 44: Genome Composition

44

Page 45: Genome Composition

45

Page 46: Genome Composition

46

As of December 2004

17 genetic codes

11 mitochondrial

5 nuclear

1 nuclear + mitochondrial

Page 47: Genome Composition

47

Lock & Key Hypothesis

Page 48: Genome Composition

48

Frozen accidents

EvolutionaryDead Ends

Page 49: Genome Composition

49

Page 50: Genome Composition

50

The codon-The codon-capture capture hypothesishypothesis

Thomas Jukes

Page 51: Genome Composition

51

AAA = lysine

Universalgeneticcode

Page 52: Genome Composition

52AAA = asparagine

Echinodermata

Page 53: Genome Composition

53

Hemichordata

AAA = unassigned

Page 54: Genome Composition

54