poxviruses and adaptive genome evolution

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Poxviruses and Adaptive Genome Evolution Aoife McLysaght Dept. of Genetics Trinity College Dublin

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Poxviruses and Adaptive Genome Evolution. Aoife McLysaght Dept. of Genetics Trinity College Dublin. Genome Evolution. Evolution of genome arrangement Evolution of genome content. Genome Evolution. Evolution of genome arrangement Gene order changes Inversions, translocations - PowerPoint PPT Presentation

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Page 1: Poxviruses and Adaptive Genome Evolution

Poxviruses and Adaptive Genome Evolution

Aoife McLysaght

Dept. of Genetics

Trinity College Dublin

Page 2: Poxviruses and Adaptive Genome Evolution

Genome Evolution

• Evolution of genome arrangement

• Evolution of genome content

– .

Page 3: Poxviruses and Adaptive Genome Evolution

Genome Evolution

• Evolution of genome arrangement– Gene order changes

• Inversions, translocations

• Evolution of genome content

• .

Page 4: Poxviruses and Adaptive Genome Evolution

Genome Evolution

• Evolution of genome arrangement– Gene order changes

• Inversions, translocations

• Evolution of genome content– Gene gain (sequence divergence, duplication,

recombination, horizontal transfer)– Gene loss (deletion)

• .

Page 5: Poxviruses and Adaptive Genome Evolution

Genome Evolution

• Evolution of genome arrangement– Gene order changes

• Inversions, translocations

• Evolution of genome content– Gene gain (sequence divergence, duplication,

recombination, horizontal transfer)– Gene loss (deletion)

• One or more genes per event

Page 6: Poxviruses and Adaptive Genome Evolution

Genome Evolution

• Translate knowledge from sequenced or model genomes to organism of interest– Positional cloning of genes– Use probes designed in one genome to detect

a target in another genome

• Improve model parameters for phylogenetic inference from genome arrangement

Page 7: Poxviruses and Adaptive Genome Evolution

Genome Structure

• Not just a bag of genes

• Genome organisation contains information– Order of Hox genes corresponds to spatial

pattern of gene expression– Clustering of housekeeping genes

• By observation of ‘allowed’ changes gain understanding of genomic constraints and plasticity

Page 8: Poxviruses and Adaptive Genome Evolution

Multiple Genome Comparison

• Greater power to detect change

• Precision– Can infer lineage in which change occurred

• Detect direction and rate of change

• More genomes also increase computational burden

Page 9: Poxviruses and Adaptive Genome Evolution

Pox virus genomes

• 20 completely sequenced genomes

• 150-300kb containing ~200 genes

Page 10: Poxviruses and Adaptive Genome Evolution

Poxviruses

• Double-stranded DNA viruses, no RNA stage

• Replicate in the host cytoplasm

• Entomopox – insect infecting• Chordopox – vertebrate infecting• Orthopox – subset of chordopox which

includes smallpox (variola) and vaccinia

Page 11: Poxviruses and Adaptive Genome Evolution

Questions:

• How are these genomes arranged?

• How has genome content changed?

• Is the rate of change constant?

Page 12: Poxviruses and Adaptive Genome Evolution

Questions:

• How are these genomes arranged?

• How has genome content changed?

• Is the rate of change constant?

• Can we detect adaptive genome evolution?

Page 13: Poxviruses and Adaptive Genome Evolution

Orthologue detection

Significant sequence similarity– How significant?

over a long stretch of the protein– How long?

Page 14: Poxviruses and Adaptive Genome Evolution

e-value threshold

Minimumaligned proportion 1 1e-5 1e-10 1e-20

0.0 0 31 29 19

0.1 0 31 29 19

0.2 4 32 29 19

0.3 7 33 31 20

0.4 10 34 31 20

0.5 17 32 30 20

0.6 29 33 30 19

0.7 28 30 26 18

0.8 26 25 22 14

0.9 15 16 14 10

1.0 0 0 0 0

Page 15: Poxviruses and Adaptive Genome Evolution

• Complete linkage

• Single-link clustering

• Our method

Page 16: Poxviruses and Adaptive Genome Evolution

Complete linkage

A

C

BD

E

Page 17: Poxviruses and Adaptive Genome Evolution

Single-link clustering

A

C

BD

E

F

G

Page 18: Poxviruses and Adaptive Genome Evolution

F

G

H

I

J

A

C

B

E

D

C

B

E

D

Page 19: Poxviruses and Adaptive Genome Evolution

Orthologues

• 4042 total proteins• 3384 proteins classified into 875 groups

– 813 complete linkage

• 521 groups of 1 member• 150 groups of 2 members• 204 ≥ 3 members

Page 20: Poxviruses and Adaptive Genome Evolution

Conserved gene order and spacing

Page 21: Poxviruses and Adaptive Genome Evolution

Poxvirus Phylogeny

34 orthologues present in all genomes

Page 22: Poxviruses and Adaptive Genome Evolution

Poxvirus Phylogeny

34 orthologues present in all genomes

Page 23: Poxviruses and Adaptive Genome Evolution

Orthopox phylogeny

92 orthologues present in all orthopox genomes

Page 24: Poxviruses and Adaptive Genome Evolution

Counting gene gain and loss

• Examine phylogenetic spread of a group of orthologues

• Assign gene gain and loss events to branches in the phylogeny

Page 25: Poxviruses and Adaptive Genome Evolution

Phylogenomic Approach

Page 26: Poxviruses and Adaptive Genome Evolution

Infer gene gain along the branch to the most recent common ancestor

Page 27: Poxviruses and Adaptive Genome Evolution

Infer gene loss parsimoniously

Page 28: Poxviruses and Adaptive Genome Evolution

Numbers of gain/loss events

Page 29: Poxviruses and Adaptive Genome Evolution

Numbers of gain/loss events

Page 30: Poxviruses and Adaptive Genome Evolution

Rate of Gene Gain

• Tested for uniform rate of gene acquisition

• Assume a molecular clock

Page 31: Poxviruses and Adaptive Genome Evolution

Rate of Gene Gain

• Tested for uniform rate of gene acquisition

• Assume a molecular clock

• Are gene acquisition events distributed randomly throughout the tree?

Page 32: Poxviruses and Adaptive Genome Evolution

Rate of Gene Gain

• Tested for uniform rate of gene acquisition

• Assume a molecular clock

• Are gene acquisition events distributed randomly throughout the tree?

• Simulations

Page 33: Poxviruses and Adaptive Genome Evolution

Significant excess

Significant deficit

Page 34: Poxviruses and Adaptive Genome Evolution

Increased Gene Gain in the Orthopox Lineage

• Slower rate of amino acid substitution within this clade (leading to abberantly short branch lengths)– Takezaki relative rate test– Branch lengths from synonymous distances

Page 35: Poxviruses and Adaptive Genome Evolution

Increased Gene Gain in the Orthopox Lineage

• Slower rate of amino acid substitution within this clade (leading to abberantly short branch lengths)– Takezaki relative rate test– Branch lengths from synonymous distances

• Increased rate of gene gain

• Increased selection for the retention of gained genes

Page 36: Poxviruses and Adaptive Genome Evolution

Sources of Gene Acquisition

• Extensive sequence divergence

• Recombination

• Horizontal transfer

Page 37: Poxviruses and Adaptive Genome Evolution

Horizontal Transfer

• AMV-EPB_034 – inhibitor of apoptosis from Amsacta moorei entomopoxvirus (AMV-EPB)

• GenBank sequence – inhibitor of apoptosis from Bombyx mori (silkworm) BLAST e-value 9e-81

• Amsacta moorei entomopoxvirus infects Amsacta moorei (Red Hairy Caterpillar)

• Bombyx and Amsacta both Order Lepidoptera

Page 38: Poxviruses and Adaptive Genome Evolution

Horizontal Transfer

• AMV-EPB_034 – inhibitor of apoptosis from Amsacta moorei entomopoxvirus (AMV-EPB)

• GenBank sequence – inhibitor of apoptosis from Bombyx mori (silkworm) BLAST e-value 9e-81

• Amsacta moorei entomopoxvirus infects Amsacta moorei (Red Hairy Caterpillar)

• Bombyx and Amsacta both Order Lepidoptera • 62% of best non-viral GenBank hits are from

same taxonomic Class as viral host

Page 39: Poxviruses and Adaptive Genome Evolution

Gene loss modelling

• Events are not independent

• Depend on previous (in time) gain and loss events of the gene family

• Requires a probabilistic model?

Page 40: Poxviruses and Adaptive Genome Evolution

Gene loss events

Page 41: Poxviruses and Adaptive Genome Evolution

Adaptive Evolution

• Selection for diversification– Positive selection

• Characteristic of host-parasite co-evolution

Page 42: Poxviruses and Adaptive Genome Evolution

Standard Genetic CodePhe UUU Ser UCU Tyr UAU Cys UGU

UUC UCC UAC UGC

Leu UUA UCA ter UAA ter UGA

UUG UCG ter UAG Trp UGG

Leu CUU Pro CCU His CAU Arg CGU

CUC CCC CAC CGC

CUA CCA Gln CAA CGA

CUG CCG CAG CGG

Ile AUU Thr ACU Asn AAU Ser AGU

AUC ACC AAC AGC

AUA ACA Lys AAA Arg AGA

Met AUG ACG AAG AGG

Val GUU Ala GCU Asp GAU Gly GGU

GUC GCC GAC GGC

GUA GCA Glu GAA GGA

GUG GCG GAG GGG

Page 43: Poxviruses and Adaptive Genome Evolution

Detection of Positive Selection

• Two classes of DNA substitutions– Synonymous (DNA change without amino acid

change)– Nonsynonymous (DNA change causing amino acid

change)• Neutral – equal frequencies• Conservative selection – fewer

nonsynonymous substitutions• Positive selection – more nonsynonymous

substitutions

Page 44: Poxviruses and Adaptive Genome Evolution

Detection of Positive Selection

• Two classes of DNA substitutions– Synonymous (DNA change without amino acid

change)– Nonsynonymous (DNA change causing amino acid

change)• Neutral – equal frequencies• Conservative selection – fewer

nonsynonymous substitutions• Positive selection – more nonsynonymous

substitutions

Page 45: Poxviruses and Adaptive Genome Evolution

Detection of Positive Selection

• Two classes of DNA substitutions– Synonymous (DNA change without amino acid

change)– Nonsynonymous (DNA change causing amino acid

change)• Neutral – equal frequencies• Conservative selection – fewer

nonsynonymous substitutions• Positive selection – more nonsynonymous

substitutions

Page 46: Poxviruses and Adaptive Genome Evolution

Detection of Positive Selection

• Two classes of DNA substitutions– Synonymous (DNA change without amino acid

change)– Nonsynonymous (DNA change causing amino acid

change)• Neutral – equal frequencies• Conservative selection – fewer

nonsynonymous substitutions• Positive selection – more nonsynonymous

substitutions

Page 47: Poxviruses and Adaptive Genome Evolution

Detection of Positive Selection

• 204 groups of orthologues

• Maximum liklihood test for positive selection (PAML)

• Significantly higher frequency of nonsynonymous substitutions

Page 48: Poxviruses and Adaptive Genome Evolution

Positive Selection on Pox Genes

• Detected positive selection on 26 genes

• Examples:– Membrane glycoprotein– Haemagluttinin– Immunoglobulin domain protein

Page 49: Poxviruses and Adaptive Genome Evolution

Positive Selection on Pox Genes

• 13 genes are unique to orthopox clade– Significantly more than expected (P < 0.05)

• Disproportionate frequency of positive selection on genes gained within the orthopox lineage

Page 50: Poxviruses and Adaptive Genome Evolution

Adaptive Genome Evolution?

• Association of positive selection on protein sequences and increased rate of gene acquisition

Page 51: Poxviruses and Adaptive Genome Evolution

Adaptive Genome Evolution?

• Association of positive selection on protein sequences and increased rate of gene acquisition

• Adaptive significance of gene acquisition?– Mimic host defences– Avoid host recognition– Block cell death

Page 52: Poxviruses and Adaptive Genome Evolution

Conclusions

• The rate of genome evolution is not constant

• The rate of gene acquisition has increased in the orthopox lineage

• Orthopox lineage is also has an increased frequency of positive selection

• Possible adaptive significance of genome evolution

Page 53: Poxviruses and Adaptive Genome Evolution

Acknowledgements

• University of California, Irvine– Brandon Gaut– Pierre Baldi