Alternative splicing: A playground of evolution
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Transcript of Alternative splicing: A playground of evolution
Alternative splicing: A playground of evolution
Mikhail Gelfand
Research and Training Center for BioinformaticsInstitute for Information Transmission Problems RAS,
Moscow, Russia
October 2008
% of alternatively spliced human and mouse genes by year of publication
Human (genome / random sample)
Human (individual chromosomes)
Mouse (genome / random sample)
All genes
Only multiexon genes
Genes with high EST coverage
Roles of alternative splicing
• Functional:– creating protein diversity
• ~30.000 genes, >100.000 proteins
– maintaining protein identity• e.g. membrane (receptor) and secreted isoforms• dominant negative isoforms• combinatorial (transcription factors, signaling domains)
– regulatory• E.g. via chanelling to NMD
• Evolutionary
• Evolution of alternative exon-intron structure – mammals:
• human compared to mouse and dog• mouse and rat compared to human and dog• paralogs
– dipteran insects• Drosophila melanogaster, D. pseudoobscura, Anopheles gambiae• many drosophilas
• Evolutionary rates in constitutive and alternative regions– human and mouse– D. melanogaster and D. pseudoobscura– many drosophilas– human-chimpanzee vs. human SNPs
• Alternative splicing and protein domains• Regulation of AS via conserved RNA structures
Plan
Elementary alternatives
Cassette exon
Alternative donor site
Alternative acceptor site
Retained intron
EDAS: a database of alternative splicing• Sources:
– human and mouse genomes– GenBank– RefSeq
• consider cassette exons and alternative splicing sites• functionality:
potentially translated vs. NMD-inducing elementary alternatives (in-frame stops, length non divisible by 3)
human mousegenes 28957 31811mRNA / cDNA 114624 215212proteins 91844 126797ESTs 4294590 3817531all alternatives 51713 44030elementary alternatives 31746 21329
Alternative exon-intron structure in the human, mouse and dog genomes
• Human-mouse-dog triples of orthologous genes
• We follow the fate of human alternative sites and exons in the mouse and dog genomes
• Each human AS isoform is spliced-aligned to the mouse and dog genome. Definition of conservation:– conservation of the corresponding region
(homologous exon is actually present in the considered genome);
– conservation of splicing sites (GT and AG)
Caveats
• we consider only possibility of AS in mouse and dog: do not require actual existence of corresponding isoforms in known transcriptomes
• we do not account for situations when alternative human exon (or site) is constitutive in mouse or dog
• of course, functionality assignments (translated / NMD-inducing) are not very reliable
Gains/losses: loss in mouse
Commonancestor
Gains/losses: gain in human (or noise)
Commonancestor
Gains/losses: loss in dog (or possible gain in human+mouse)
Commonancestor
Human-specific alternatives: noise?
Conserved alternatives
Triple comparison
Human-specific alternatives: noise?
Conserved alternatives
Lost in dog
Lost in mouse
Translated and NMD-inducing cassette exons
• Mainly included exons are highly conserved irrespective of function• Mainly skipped translated exons are more conserved than NMD-inducing
ones • Numerous lineage-specific losses
– more in mouse than in dog– more of NMD-inducing than of translated exons
• ~40% of almost always skipped (<1% inclusion) exons are conserved in at least one lineage
Mouse+rat vs human and dog: a possibility to distinguish between exon gain and noise
The rate of exon gain: decreases with the exon inclusion rate; increases with the sequence evolutionary rate
• Caveat: spurious exons still may seem to be conserved in the rodent lineage due to short time
• Solution: estimate “FDR” by analysis of conservation of pseudoexons
Alternative donor and acceptor sites: same trends
• Higher conservation of ~uniformly used sites• Internal sites are more conserved than external ones (as expected)
Source of innovation: Model of random site fixation
• Plots: Fraction of exon-extending alternative sites as dependent on exon length– Main site defined as the one in
protein or in more ESTs– Same trends for the acceptor
(top) and donor (bottom) sites
• The distribution of alt. region lengths is consistent with fixation of random sites– Extend short exons– Shorten long exons
Genetic diseases• Mutations in splice sites yield exon skips or activation of
cryptic sites• Exon skip or activation of a cryptic site depends on:
– Density of exonic splicing enhancers (lower in skipped exons)– Presence of a strong cryptic nearby
Av. dist. to a stronger site
Skipped exons
Cryptic site exons
Non-mutated exons
Donor sites 220 75 289
Acceptor sites
185 66 81
One more source of innovation: site creation
• MAGE-A family of human CT-antigens– Retroposition of a spliced mRNA, then duplication
– Numerous new (alternative) exons in individual copies arising from point mutations
Creation of donor sites
Improvement of an acceptor site
Alternative exon-intron structure in fruit flies and the malarial mosquito
• Same procedure (AS data from FlyBase)
– cassette exons, splicing sites
– also mutually exclusive exons, retained introns
• Follow the fate of D. melanogaster exons in the D. pseudoobscura and Anopheles genomes
• Technically more difficult:
– incomplete genomes
– the quality of alignment with the Anopheles genome is lower
– frequent intron insertion/loss (~4.7 introns per gene in Drosophila vs. ~3.5 introns per gene in Anopheles)
Conservation of coding segments
constitutive segments
alternative segments
D. melanogaster – D. pseudoobscura
97% 75-80%
D. melanogaster – Anopheles gambiae
77% ~45%
Conservation of D.melanogaster elementary alternatives in D. pseudoobscura genes
blue – exactgreen – divided exonsyellow – joined exonorange – mixedred – non-conserved
• retained introns are the least conserved (are all of them really functional?)
• mutually exclusive exons are as conserved as constitutive exons
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
CONSTANTexon
Donor site Acceptor site Retained intron Cassette exon Exclusive exon
Conservation of D.melanogaster elementary alternatives in Anopheles gambiae genes
blue – exactgreen – divided exonsyellow – joined exonsorange – mixedred – non-conserved
• ~30% joined, ~10% divided exons (less introns in Aga)
• mutually exclusive exons are conserved exactly
• cassette exons are the least conserved
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
CONSTANTexon
Donor site Acceptor site Retained intron Cassette exon Exclusive exon
Evolution of (alternative) exon-intron structure in nine Drosophila spp.
Dana
Dmel
Dsec
Dyak
Dere
Dpse
Dmoj
DvirDgri
D. melanogasterD. secheliaD. yakubaD. erectaD. ananassaeD. pseudoobscuraD. mojavensisD. virilisD. grimshawi
D. Pollard, http://rana.lbl.gov/~dan/trees.html
Gain and loss of alternative segments and constitutive exons
Dmel
Dsec
Dyak
DereDana
Dpse
Dmoj
DvirDgri
Caveat:We cannot observe exon gain outside and exon loss within the D.mel. lineage
1 / 719 / 23
20 / 322 / 4
2 / 165 / 13
1 / 167 / 8
Notation:Patterns with single events /Patterns with multiple events
(Dollo parsimony)9 / 217 / 12
Sample size397 / 452
18596 / 18874
5 / 81 / 2
3 / 58 / 21
1 / 59 / 12
6 / 158 / 33
5 / 72 / 3
3 / 1010 / 12
7 / 71 / 1
0 / 20 / 2
2 / 120 / 1
8 / 103 / 5
Evolutionary rate in constitutive and alternative regions
• Human and mouse orthologous genes• D. melanogaster and D. pseudoobscura
• Estimation of the dn/ds ratio: higher fraction of non-synonymous substitutions (changing amino acid) => weaker stabilizing (or stronger positive) selection
Human/mouse genes: non-symmetrical histogram of
dn/ds(const)–dn/ds(alt)
1 5
3
5
9 1 0
1 8
4 0
6 7
1 3 6
3 2 9
7 5 2 6 4 2
1 9 9
7 3
2 71 8
7 7
01 0 01
1 0
1 0 0
1 0 0 0
– 1 – 0 .9– – 0 .8 – 0 .7 – 0 .6 – 0 .5 – 0 .4 – 0 .3 – 0 .2 – 0 .1 0 0 .1 0 .2 0 .3 0 .4 0 .5 0 .6 0 .7 0 .8 0 .9 1
G en es
C– A
Black: shadow of the left half.In a larger fraction of genes dn/ds(alt) > dn/ds(const), especially for larger values
Concatenated regions:Alternative regions evolve faster than constitutive ones
AП
0,1680,183
П
0,068
A
0,076
0,405 0,414П A
dN
dN/dS
dS
П A
0,790,80
A
0,220,25
0,28
0,31
П
dN/dS
dS
dN
1
0
Weaker stabilizing selection (or positive selection) in alternative regions
(insignificant in Drosophila)
AП
0,1680,183
П
0,068
A
0,076
0,405 0,414П A
dN/dS
dN
dS
П A
0,790,80
A
0,220,25
0,28
0,31
П
dN/dS
dS
dN
1
0
Different behavior of terminal alternatives
П A
AN
AI
AC
1,43
0,790,80
0,90
0,62
A
AN
AI
AC
0,22
0,250,23
0,33
0,25
0,28
0,31
0,37
0,23
0,28
П
AN
AI
A AN
П
0,1680,183 0,186
AI
0,169
AC
0,297
П
0,068
A
0,076
AN
0,076
AI
0,074
AC
0,132
0,405 0,414 0,4100,437П A AN
AI
0,445
AC
dN/dS
dS
dN
1,5
0
Mammals: Density of substitutions increases in the N-to-C direction
Drosophila: Synonymous substitutions prevalent in terminal alternative regions; non-synonymous substitutions,
in internal alternative regions
Many drosophilas:dN in mut. exclusive exons same as in constitutive exonsdS lower in almost all alternatives: regulation?
Many drosophilas: relaxed (positive?) selection in alternative regions
The MacDonald-Kreitman test: evidence for positive selection in (minor isoform) alternative regions• Human and chimpanzee genome substitutions vs human SNPs• Exons conserved in mouse and/or dog• Genes with at least 60 ESTs (median number) • Fisher’s exact test for significance
Pn/Ps (SNPs) Kn/Ks (genomes) diff. Signif.
Const. 0.72 0.62 – 0.10 0
Major 0.78 0.65 – 0.13 0.5%
Minor 1.41 1.89 + 0.48 0.1%
Minor isoform alternative regions:• More non-synonymous SNPs: Pn(alt_minor)=.12% >> Pn(const)=.06%• More non-synonym. substitutions: Kn(alt_minor)=.91% >> Kn(const)=.37%• Positive selection (as opposed to lower stabilizing selection):
α = 1 – (Pa/Ps) / (Ka/Ks) ~ 25% positions • Similar results for all highly covered genes or all conserved exons
What does alternative splicingdo to proteins?
• SwissProt proteins• PFAM domains• SwissProt feature tables
a)
6%
10%
15%
37%
40%
34%
21%
19%
6%13%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Expected Observed
Non-domain functional units partially
Domains partially
No annotated unit affected
Non-domain functional units completely
Domains completely
Alternative splicing avoids disrupting domains (and non-domain units)
Control:
fix the domain structure; randomly place alternative regions
… and this is not simply a consequence of the (disputed) exon-domain correlation
0
1
Ra
tio
(ob
serv
ered
/ex
pec
ted
)
Mouse Human Mouse Human Mouse Human
nonAS_Exons AS_Exons AS
AS&Exon boundaries and SMART domains
inside domains
outside domains
Positive selection towards domain shuffling (not simply avoidance of disrupting domains)
a)
6%
10%
15%
37%
40%
34%
21%
19%
6%13%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Expected Observed
Non-domain functional units partially
Domains partially
No annotated unit affected
Non-domain functional units completely
Domains completely
b)
Domains completely
Non-domain units
completely
No annotated
units affected
Expected Observed
Short (<50 aa) alternative splicing events within domains target protein functional sites
a)
6%
10%
15%
37%
40%
34%
21%
19%
6%13%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Expected Observed
Non-domain functional units partially
Domains partially
No annotated unit affected
Non-domain functional units completely
Domains completely
c)
Prosite
patterns
unaffected
Prosite
patterns
affected
FT
positions
unaffected
FT
positions
affected
Expected Observed
An attempt of integration
• AS is often species-specific
• young AS isoforms are often minor and tissue-specific
• … but still functional– although species-specific isoforms may result from aberrant splicing
• AS regions show evidence for decreased negative selection– excess non-synonymous codon substitutions
• AS regions show evidence for positive selection – excess fixation of non-synonymous substitutions (compared to SNPs)
• AS tends to shuffle domains and target functional sites in proteins
• Thus AS may serve as a testing ground for new functions without sacrificing old ones
What next?
• AS in one species, constitutive splicing, in another (data from microarrays)
• Changes in inclusion rates
• Evolution of regulation of AS
• Control for:– functionality: translated / NMD-inducing (frameshifts, stop codons)– exon inclusion (or site choice) level: major / minor isoform– tissue specificity pattern (?)– type of alternative – 1: N-terminal / internal / C-terminal– type of alternative – 2: cassette and mutually exclusive exon,
alternative site
Acknowledgements
• Discussions– Eugene Koonin (NCBI)– Igor Rogozin (NCBI) – Vsevolod Makeev (GosNIIGenetika)– Dmitry Petrov (Stanford)– Dmitry Frishman (GSF, TUM)
• Data– King Jordan (NCBI)
• Support– Howard Hughes Medical Institute– INTAS– Russian Academy of Sciences
(program “Molecular and Cellular Biology”)– Russian Foundation of Basic Research
Authors• Andrei Mironov (Moscow State University)
• Ramil Nurtdinov (Moscow State University) – human/mouse+rat/dog
• Dmitry Malko (GosNIIGenetika, Moscow) – drosophila/mosquito
• Ekaterina Ermakova (Moscow State University, IITP) – Kn/Ks
• Vasily Ramensky (Institute of Molecular Biology, Moscow) – SNPs, MacDonald-Kreitman test
• Evgenia Kriventseva (now at U. of Geneva) and Shamil Sunyaev (now at Harvard U. Medical School)
– protein structure
• Irena Artamonova (Inst. of General Genetics, Moscow) – human/mouse, plots, MAGE-A
• Alexei Neverov (GosNIIGenetika, Moscow) – functionality of isoforms
Bonus track: conserved secondary structures regulating (alternative)
splicing in the Drosophila spp.
• ~ 50 000 introns
• 17% alternative, 2% with alt. polyA signals
• >95% of D.melanogaster introns mapped to at least 7 of 12 other Drosophila genomes
• Search for conserved complementary words at intron termini (within 150 nt. of intron boundaries), then align
• Restrictive search => 200 candidates
• 6 tested in experiment (3 const., 3 alt.). All 3 alt. ones confirmed
CG33298 (phopspholipid translocating ATPase): alternative donor sites
Atrophin (histone deacetylase): alternative acceptor sites
Nmnat (nicotinamide mononucleotide
adenylytransferase): alternative splicing and polyadenylation
Less restrictive search => many more candidates
Properties of regulated introns
• Often alternative• Longer than usual• Overrepresented in genes linked to
development
Authors
• Andrei Mironov (idea)• Dmitry Pervouchine (bioinformatics)• Veronica Raker, Center for Genome
Regulation, Barcelona (experiment)• Juan Valcarcel, Center for Genome
Regulation, Barcelona (advice)• Mikhail Gelfand (general pessimism)