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Xuhua Xia xxia@uottawa.ca http://dambe.bio.uottawa.ca
Mutation Xuhua Xia
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Outline Types of mutation Mutation rate and genome size
Mutation reveals the connection between genotype and phenotype; mutation and genetic diseases DNA methylation and mutation
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Mutations - any detectable change in DNA sequence
eg. errors in DNA replication/repair inherited ones of interest in evolutionary studies Deleterious - reduce fitness and will be selected against by purifying selection) Advantageous increase fitness and have an increased chance of being fixed in the population by natural selection Neutral - will have little effect on phenotype - may be fixed in population by genetic drift
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Type of Mutations A G C T Point mutations transitions transversions
How many possible transitions? transversions? p.38 “In animal nuclear DNA, ~ 60-70% of all point mutations are TRANSITIONS, whereas if random expect 33%”
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- different aa specified by codon
Missense mutation - different aa specified by codon Nonsense mutation - change from sense codon to stop codon Non-synonymous - amino acid altered Synonymous - “silent” change (amino acid unaltered) 2. Insertions or deletions (“indels”) - frameshift mutations within coding sequences 1 nt deletion Fig. 1.12
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Spontaneous Point Mutation Rates
G – genome size µb – mutation rate per site per generation (might have overestimated) µg – genomic mutation rate per generation Table 4 in Drake et al. 1998, Genetics
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Normal and Thalassemia HBb
----|----|----|----|----|----|----|----|----|----|----|----|-- Normal AUGGUGCACCUGACUCCUGAGGAGAAGUCUGCCGUUACUGCCCUGUGGGGCAAGGUGAACGU Thalass. AUGGUGCACCUGACUCCUGAGGAGAAGUCUGCCGUUACUGCCCUGUGGGGCAAGGUGAACGU ************************************************************** --|----|----|----|----|----|----|----|----|----|----|----|---- Normal GGAUGAAGUUGGUGGU-GAGGCCCUGGGCAGGUUGGUAUCAAGGUUACAAGACAGG...... Thalass. GGAUGAAGUUGGUGGUUGAGGCCCUGGGCAGGUUGGUAUCAAGGUUACAAGACAGG...... **************** *************************************** Are the two genes homologous? What evolutionary change can you infer from the alignment? What is the consequence of the evolutionary change? Xuhua Xia
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Baccillus licheniformis Eschrichia coli 1st Baccillus subtilis
3rd Baccillus licheniformis Eschrichia coli 1st Baccillus subtilis Baccillus cereus Mycoplasma capricolum 2nd Thermus thermophilus Streptomyces vanaceus Anacyctis nidulans Pseudomonas aeruginosa Rhizobium parasponia Micrococcus luteus Muto A., Osawa S.: The guanine and cytocine content of genomic DNA and bacterial evolution. Proc Natl Acad Sci USA, 84(1987)
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Do you agree or disagree with the following statement?
see p.27 “A synonymous mutation may not always be silent.” GGT to GGA (3rd position change) within exon creates new splice site Note: such mutations are detrimental and relatively rare in nature !! b-globin gene (normal) b thalassemia disease so part of globin coding sequence is missing in mRNA & downstream exon is frameshifted Evolutionary constraints on sequences near splice junctions: - not only for amino acid encoded - but also for cis elements required in splicing Fig. 6.23 Goldsmith et al PNAS 80:
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Lactase persistence (LP)
Segurel, L and Bon C Ann Rev 18:
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Mutations leading to LP
-13910:C>T: Eurasia -13907:C>G: East Africa -13915:T>G: East Africa -14009:T>G: East Africa -14010:G>C: East Africa LCT Intron 13 of MCM6 (minichromosome maintenance complex component 6) Segurel, L and Bon C Ann Rev 18:
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Generation of short changes in length
Short insertions or deletions (short “indels”) eg. if slippage during DNA replication - rapid evolution, change in copy number of short tandem repeats microsatellites 3’- TTAGGATCATATATATGTGCTTAA-5’ 5’- AATCCTAGTATATATACACGAATT-3’ :::::::::::::::::::::::: Final outcome Double-stranded DNA (Watson-Crick base-pairing) with 4 TA repeat units Fig.1.18 Text figure also shows 2 TA repeat outcome (deletion)
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wt: 10-26 CAG copies in tandem carrier: intermediate number
“Triplet repeat expansion” mutations - increased copy number of tandem repeats of triplets within gene (or regulatory region) - certain human genetic (neurodegenerative) diseases - repeat number strongly correlates with age of onset of disease and severity – copy number can change from one generation to next (“dynamic” mutations) Huntington’s disease htt gene on chr 4 Affected: copies wt: CAG copies in tandem carrier: intermediate number
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Varying lengths of poly-Glutamine (Q) tracts (I & II) in androgen receptors in carnivores
Polymorphism among individual Amur tigers N-terminus of protein I II … Amur tiger albino Amur tiger Positions of aa identical to Chinese tiger protein are not shown. - variation in poly(CAG) repeat length among species and within species In humans normally: copies of CAG repeat if higher #: correlation with muscular atrophy if lower #: correlation with prostate cancer giant panda Use as biomarker Wang Mol Biol Rep 39:2297, 2012
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Triplet repeat disorder
- increased copy number of tandem repeats of triplets within gene (or regulatory region) - certain human genetic (neurodegenerative) diseases - repeat number strongly correlates with age of onset of disease and severity DM1: Dystrophia myotonica-protein kinase, DMPK on Chr 19 DM2: ZNF9 gene on chromosome 3q21. HTT on chr 4q16.3 Repeat copy number in normal = red; orange = carrier; yellow = disease condition Gerald Karp Cell and Molecular Biology: Concepts and Experiments p.435
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FMR1 protein/gene & Fragile X Syndrome
"fragile" is due to the methylation of FMR1 in Xq27.3 that is believed to result in constribution of the X chromosome which then appears "fragile" under microscope. Bassell GJ, Warren ST Fragile X syndrome: loss of local mRNA regulation alters synaptic development and function. Neuron 60: (Top) Protein domains (green) and key residues (red). NLS, nuclear localization signal; KH1 and KH2, RNA-binding domains; NES, nuclear export signal; RGG, RGG box, RNA binding. I304N, naturally occurring FXS mutation abrogating polysome association; S499, primary phosphorylated serine. (Middle) FMR1 gene, coding exons (blue) and untranslated regions (gray). Exons coding for major protein domains are indicated as well as alternative splicing. (Bottom) 5′ untranslated CGG-repeat alleles. The common and intermediate normal alleles (<55 repeats) are indicated, as are the premutation carrier alleles (55–200 repeats) and the full-mutation FXS alleles (>200 repeats).
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Fragile X Syndrome: X-linked dominant
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Huntington’s disease (autosome dominant)
4p16.3
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3. Inversions, translocations, etc.
through chromosome breakage & rejoining Inversion NB: text shows as single-stranded, but both DNA strands take part in inversion event Fig. 1.20 eg. if recombination between indirect repeats Region between them is inverted Aside: inversions & translocations usually involve long DNA regions (eg. blocks of genes) rather than short stretches internal to genes
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Outcome if recombination between direct repeats in genome?
A B C D A B C D A D B C … 5’ ATTTCC 3’ 5’ ATTTCC 3’ 3’ TAAAGG 5’ 3’ TAAAGG 5’ deletion of region located between direct repeats and generation of “extrachromosomal element” likely lost (because no replication signals) Fig. 1.17
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Closer look at direct and indirect repeats
… Region “flipped over” 5’ ATTTCC 3’ 5’ GGAAAT 3’ 3’ TAAAGG 5’ 3’ CCTTTA 5’ Fig. 1.20 C - G U - A A - U 5` 3` Aside: At the RNA level , an inverted repeat can form a stem-loop structure
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“Hot spots” of mutation
- short direct repeats, palindromes - alternating Pu-Py dimers (Z-DNA) - CpG in eukaryotes -deamination of C to U, repaired by uracil-DNA glycolyase - but 5-methyl C to T escapes repair patterns & positions of mutations not random Griffiths Fig. 7.16
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Methylation and Evolution
Mutation and selection determines the pathway of evolution Factors affecting mutation and selection will have evolutionary consequences DNA methylation is interesting because it can modulate mutation and selection H3C- Methyltransferase H3C Donor Acceptor Xuhua Xia
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Different Methylation Processes
Methylation of amino acids in proteins Methylation of nucleotide sequences (DNA and RNA) Differences in methylation sites Differences in functions Illustrations Methylation and DNA repair in Escherichia coli. Methylation in the restriction-modification system Methylation and gene regulation
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Methylation and DNA Repair in E. coli
DNA alphabets: ACGT RNA alphabets: ACGU DNA duplication and Watson-Crick paring rule: A-T, C-G H3C H3C H3C 3’--CTAG----CTAGGTAT----C-----C--CTAG ’ |||| |||||||| ? ? |||| 5’--GATC----GATCCATA----U-----T--GATC ’ mutH mutS mutL H3C Xuhua Xia
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Methylation-Modification System
Bacterial Genome Restriction enzyme Methylase TGGC*CA AC*CGGT Transcription and Translation ----TGG|CCA ACC|GGT--- Bacterial Membrane dsDNA phage Brevibacterium albidum Xuhua Xia
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CpG-Specific DNA Methylation
Mammalian DNA methyltransferase 1 (DNMT1) NLS-containing domain replication foci-directing domain ZnD, Zn-binding domain polybromo domain CatD, the catalytic domain CpG mCpG mCpG 748 343 609 1110 1 RFDD PBD NlsD ZnD CatD 350 746 1620 613 1124 Fatemi, M., A. Hermann, S. Pradhan and A. Jeltsch, 2001 J Mol Biol 309:
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CpG-Specific DNA Methylation
H3C H3C 5’ATGCGA CCGA ACGGC--TAA 3’ |||||| |||| ||||| 3’TACGCT GGCT TGCCG--ATT 5’ H3C Fully methylated Hemi-methylated Unmethylated Note: 5’CG3’ = CpG Xuhua Xia
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Methylation and Gene Regulation
Proteins with a methyl-CpG binding domain (MBD) MBD1, MBD2, and MBD3 MeCP2 Histone deacetylases Histone deacetylase Condensed DNA with repressed transcription MBD ---mCpG Wade, P. A., and A. P. Wolffe, 2001 Nat Struct Biol 8: Xuhua Xia
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Methylation and Evolution
Mutation and selection determines the pathway of evolution Factors affecting mutation and selection will have evolutionary consequences DNA methylation, especially the CpG-specific methylation, can modulate mutation and selection H3C- Methyltransferase H3C Donor Acceptor Xuhua Xia
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Methylation and Mutation
NH2 N O H3C Spontaneous deamination H3C methylation N O Cytocine is converted to Thymine Xuhua Xia
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CpG Dinucleotide Evolutionary consequence: CpG to TpG and CpA
CDS: 5’ATG CGA CCG AAC GGC …… TAA 3’ 3’TAC GCT GGC TTG CCG …… ATT 5’ CDS: 5’ATG TGA CTG AAT GGC …… TAA 3’ 3’TAC ACT GAC TTA CCG …… ATT 5’ Evolutionary consequence: CpG to TpG and CpA Decreased GC% Xuhua Xia
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CpG Deficiency in DNA Variation in relative CpG abundance (RA) in prokaryotic genomes from 0.28 to 1.5 Variation in GC% in prokaryotic genomes from ~25% to ~75% CDS: 5’ATG CGA CCG AAC GGC …… TAA 3’ 3’TAC GCT GGC TTG CCG …… ATT 5’ CDS: 5’ATG TGA CTG AAT GGC …… TAA 3’ 3’TAC ACT GAC TTA CCG …… ATT 5’ Xuhua Xia
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Hypotheses on Variation in RA and GC%
Many hypotheses have been proposed to explain the variation in RA and GC%: DNA methylation hypothesis (Bestor and Coxon 1993; Rideout et al. 1990; Sved and Bird 1990): Variation in DNA methylation causes variation in genomic CpG deficiency and GC%. Stacking energy hypothesis with the prediction that all DNA sequences should have CpG deficiency (This is a vaguely specified hypothesis peculiarly with many advocates) Constraint by amino acid usage (AA usage hypothesis) with the prediction that CpG deficiency should correlate with the frequency of amino acids coded by CpG-containing (i.e, CGN and NCG) codons. Combination of AA and codon usage (AA and codon usage hypothesis): different genomes have different tRNA populations favoring C-ending codons differently. A genome favoring C-ending codons and containing many G-starting codons will be less CpG deficient than a genome not favoring C-ending codons. Xuhua Xia
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Problems The methylation hypothesis has several major empirical difficulties (e.g., Cardon et al. 1994), especially in recent years with genome-based analysis (e.g., Goto et al. 2000): Great variation in RA between Mycoplasma genitalium and M. pneumoniae. Extreme CpG deficiency in Mycoplasma genitalium Xuhua Xia
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To Save the Methylation Hypothesis
The methylation hypothesis has to accommodate the arguments above: How did M. genitalium get strong CpG deficiency without methylation? Why there is so much variation between M. genitalium and M. pneumoniae without involving differential methylation activities? Xuhua Xia
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He who sees things from the very beginning has the most advantageous view of them.
-Aristotle
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A New Hypothesis Loss of methyltransferase gene M. pneumoniae M. genitalium M. sp Spiroplasma sp. The reason for M. genitalium to have a strong CpG deficiency is because its ancestor had a methylation history. Xuhua Xia
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A New Hypothesis Loss of methyltransferase gene M. pneumoniae M. genitalium M. sp Spiroplasma sp. The reason for the variation in CpG deficiency between M. genitalium and M. pneumoniae is because of a much faster evolutionary rate in M. pneumoniae than in M. genitalium. Consequently, the former regains CpG much faster than the latter. Xuhua Xia
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Two Predictions and Tests
Mycoplasma sp. should be more CpG deficient than M. genitalium and M. pneumoniae. M. pneumoniae evolves faster than M. genitalium. Loss of methyltransferase gene M. pneumoniae M. genitalium M. pulmonis M. sp Spiroplasma sp.
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Results (1) Xuhua Xia Loss of methyltransferase gene
Methylation PCpG/(PCPG) GC% Loss of methyltransferase gene M. pulmonis M. genitalium M. pneumoniae U. urealyticum Xuhua Xia
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Phylogenetic Analysis
Based on 18 sets of homologous CDS sequences with the 4 bacterial species Two conclusions: Mycoplasma pulmonis is closer to the root than the other two Mycoplasma species M. pneumoniae have a longer branch length (i.e., the molecular clock ticks faster) than M. genitalium. U. urealyticum M. pulmonis M. genitalium M. pneumoniae Xuhua Xia
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Conclusions Mycoplasma pulmonis, with several methyltransferase genes, is more CpG deficient than M. genitalium and M. pneumoniae. M. pneumoniae evolves faster than M. genitalium. The phylogenetic control and the biological significance beyond the conclusions. Loss of methyltransferase gene M. pneumoniae M. genitalium M. pulmonis Spiroplasma sp. Xuhua Xia
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