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Presentation at Mycological society of America, August 2007, Baton Rouge, LA.
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Comparative genomics of the fungal kingdom: a view from the chytrids
Jason StajichUniversity of California, Berkeley
Comparative Genomics
• Tools for studying evolution at level of genomic blueprints.
• Identifying shared, unique, loss and gains of genes.
• Signatures of adaptation
• Identify genes that are under positive directional selection - changing faster at the amino acid level than expected given neutral rate
• Identification of gene families that expand or contract by unexpected amounts
• Contrasting genome organization and evolution of genomic clusters of genes
Fantastic Fungi
• Evolution of modern fungal forms and lifestyles
• Evolution of Multicellularity - independent transitions in Metazoa and Plants.
• Reversions to unicellularity
• Evolution of development; early genes involved in fruiting body development
• Plants and Fungi have cell walls; animals lack cell walls; what were fungal ancestor’s cell walls like? Fungal-animal ancestor?
• What genes were in the ancestral fungus? Which genes have newly evolved and are contribute to new morphologies or life stages?
Fantastic opportunities in fungal comparative genomics
• More than 65 available genomes - dozens more in pipeline at sequencing centers
• http://fungalgenomes.org/wiki/Fungal_Genome_Links
• 1(2) Chytrid, 2 Zygomycetes, 8 (12) Basidiomycetes, 3-4 Taphrinomycotina,
• ~30 (+15 strains Coccidoidioides, 3 strains of Histoplasma) Pezizomycotina
• ~22(+20-100 strains S. cerevisiae & S. paradoxus) Saccharomycotina
• Broad Institute & Fungal Genome Initiative, Joint Genome Institute, Stanford Genome Technology Center, Sanger Centre, Génolevures project & CNRS, BC Genome Sequencing Center, others.
• US genome sequencing funding: NSF, DOE, NIH
Genome annotation
• Train ab initio gene predictors
• Build good models from protein to genome alignments of take set of curated genes. Build full-length models from cDNA or assembled ESTs
• Trains on exon-intron, intron length, exon length, and codon/nt biases
• Refine parameters using iterative manner with some gene models held out to assess improvements
• Generate and combine Annotations
• Take ab initio, homology based, and EST tracks
• Combine into consensus gene models
• GLEAN or Jigsaw (GAZE also)
• Assess performance of different datasets, leave out some models if necessary
Combined predictions perform better
1219k 1220k 1221k
scaffold_5scaffold_5
% gc58%
17%
GLEANBDEN_JAM81_00470
probability 0.765437
BDEN_JAM81_00471
probability 0.981985
SNAP geneslenx_scaffold_5-snap.460 lenx_scaffold_5-snap.461
Twinscan genesTS.scaffold_5.413
Genewise genes
ctro_CTRT_03542__scaffold_5__1216332
dhan_DEHA0E17479g__scaffold_5__1216332__1226931
egos_AGR101C__scaffold_5__1216332__1226940
klac_KLLA0F11957g__scaffold_5__1216332__1226931
lelo_LELT_03523__scaffold_5__1216332
AUGUSTUS genesscaffold_5-augustus-g372.t1
PASA EST genesModel.asmbl_4025
Model.asmbl_4026
Combined predictions perform better
1219k 1220k 1221k
scaffold_5scaffold_5
% gc58%
17%
GLEANBDEN_JAM81_00470
probability 0.765437
BDEN_JAM81_00471
probability 0.981985
SNAP geneslenx_scaffold_5-snap.460 lenx_scaffold_5-snap.461
Twinscan genesTS.scaffold_5.413
Genewise genes
ctro_CTRT_03542__scaffold_5__1216332
dhan_DEHA0E17479g__scaffold_5__1216332__1226931
egos_AGR101C__scaffold_5__1216332__1226940
klac_KLLA0F11957g__scaffold_5__1216332__1226931
lelo_LELT_03523__scaffold_5__1216332
AUGUSTUS genesscaffold_5-augustus-g372.t1
PASA EST genesModel.asmbl_4025
Model.asmbl_4026
Combined predictions perform better
1219k 1220k 1221k
scaffold_5scaffold_5
% gc58%
17%
GLEANBDEN_JAM81_00470
probability 0.765437
BDEN_JAM81_00471
probability 0.981985
SNAP geneslenx_scaffold_5-snap.460 lenx_scaffold_5-snap.461
Twinscan genesTS.scaffold_5.413
Genewise genes
ctro_CTRT_03542__scaffold_5__1216332
dhan_DEHA0E17479g__scaffold_5__1216332__1226931
egos_AGR101C__scaffold_5__1216332__1226940
klac_KLLA0F11957g__scaffold_5__1216332__1226931
lelo_LELT_03523__scaffold_5__1216332
AUGUSTUS genesscaffold_5-augustus-g372.t1
PASA EST genesModel.asmbl_4025
Model.asmbl_4026
Combined predictions perform better
1219k 1220k 1221k
scaffold_5scaffold_5
% gc58%
17%
GLEANBDEN_JAM81_00470
probability 0.765437
BDEN_JAM81_00471
probability 0.981985
SNAP geneslenx_scaffold_5-snap.460 lenx_scaffold_5-snap.461
Twinscan genesTS.scaffold_5.413
Genewise genes
ctro_CTRT_03542__scaffold_5__1216332
dhan_DEHA0E17479g__scaffold_5__1216332__1226931
egos_AGR101C__scaffold_5__1216332__1226940
klac_KLLA0F11957g__scaffold_5__1216332__1226931
lelo_LELT_03523__scaffold_5__1216332
AUGUSTUS genesscaffold_5-augustus-g372.t1
PASA EST genesModel.asmbl_4025
Model.asmbl_4026
Combined predictions perform better
1219k 1220k 1221k
scaffold_5scaffold_5
% gc58%
17%
GLEANBDEN_JAM81_00470
probability 0.765437
BDEN_JAM81_00471
probability 0.981985
SNAP geneslenx_scaffold_5-snap.460 lenx_scaffold_5-snap.461
Twinscan genesTS.scaffold_5.413
Genewise genes
ctro_CTRT_03542__scaffold_5__1216332
dhan_DEHA0E17479g__scaffold_5__1216332__1226931
egos_AGR101C__scaffold_5__1216332__1226940
klac_KLLA0F11957g__scaffold_5__1216332__1226931
lelo_LELT_03523__scaffold_5__1216332
AUGUSTUS genesscaffold_5-augustus-g372.t1
PASA EST genesModel.asmbl_4025
Model.asmbl_4026
Fitzpatrick DA, Logue ME, Stajich JE, Butler G. BMC Genomics 2006
• Consensus tree of 42 fungal genomes based on many thousands of orthologous genes
• Not perfect, but automated reconstruction can be powerful tool
• Conflicts in topology can identify genes with interesting history
Complex fungal genes
•Modern fungi have complex gene structures. How complex were gene structures in the fungal ancestor?
•Many introns are present in fungal genes
•Intron poor Saccharomyces, U.maydis, and S.pombe are derived
•Evolution of introns in fungi has seen many losses, few gains
C. neoformans
P. chrysosporiumC. cinerea
R. oryzae
C. glabrata
S.c
ere
vis
iae
Y. lipolytica
K. lactis
EuascomycotaBasidiomycota
Hemiascomycota
U. maydis
S. pombe
Zygomycota
B.dendrobatidis
0 1 2 3 4 5 6 7
0
100
200
300
400
500
Media
n intr
on length
(bp)
Mean number of introns per kb of coding sequence
Fungal intron size and frequency evolution
Stajich JE, Dietrich FS, and Roy SW. Genome Biology In revision
Basidiomycota
Hemiascomycota
Euascomycota
Opisthokont
Vertebrates
Plants
Dikarya
Zygomycota
Podospora anserina (359)
Chaetomium globosum (463)
Neurospora crassa (336)
Magnaporthe grisea (368)
Fusarium graminearum (372)
Aspergillus fumigatus (481)
Aspergillus terreus (474)
Aspergillus nidulans (469)
Stagonospora nodorum (403)
Ashbya gossypii (7)
Kluyveromyces lactis (6)
Saccharomyces cerevisiae (7)
Candida glabrata (6)
Debaryomyces hansenii (5)
Yarrowia lipolytica (30)
Schizosaccharomyces pombe (214)
Coprinopsis cinerea (1621)
Phanerochaete chrysosporium (1615)
Cryptococcus neoformans (1578)
Ustilago maydis (86)
Rhizopus oryzae (947)
Homo sapiens (2737)
Mus musculus (2656)
Takifugu rubripes (2685)
Arabidopsis thaliana (2290)0.1
Stajich JE, Dietrich FS, and Roy SW. Genome Biology In revision
A.
thalia
na
R.
ory
zae
U.
mayd
is
C.
neo
form
an
s
C.
cin
ere
a
P. c
hry
so
sp
oriu
m
S.
po
mb
e
Sordariomycetes
Eurotiomycetes
Y.
lipo
lytica
Saccharomycetes
Vertebrates
5.51 6.62 2.28 0.21 3.80 3.89 3.90 0.52 0.88 1.16 0.07 0.02
3.59
3.59
4.03
0.07
2.36
2.77
3.59
3.87
4.98
A
P. a
nserin
a
N.
cra
ssa
C.
glo
bsu
m
0.861.110.81
0.90
0.95
M.
grisae
0.89
F. g
ram
inearu
m
0.90
0.85
0.89
A.
nid
ula
ns
A.
terr
eu
s
A.
fum
igatu
s
1.13 1.16 1.14
1.16
1.16
1.17
B Sordariomycetes EurotiomycetesS
. n
od
oru
m
0.97
S.
no
do
rum
0.97
1.20
1.20
Intron loss predominates in fungal lineages
Stajich JE, Dietrich FS, and Roy SW. Genome Biology In revision
Intron loss in C. neoformans through mRNA intermediete
0.1
1kb 2 kb 3 kb 4 kb 5 kb 6 kb
JEC21
WM276
R265
H99
2462
35-23
BT-100
BT-63
BT-157C. gattii, strain WM276
C. gattii, strain R265
C. neoformans var. neoformans, strain JEC21
C. neoformans var. grubii, strain H99
A
B
C
1 2 3 4 5 6 7 8 9-19
1 2 3 4 5 6 7 8 9 10 11 12 13 1415 16 17 18 19 20 21 22
20 21 22
Stajich JE, Dietrich FS. Euk Cell 2006
Intron gain is rare
• Two studies looked at intron loss and gain in 4 closely related C. neoformans (Sharpton et al, submitted; Stajich and Dietrich 2006) and found little or no intron gain.
• Nielsen et al, Plos Biology 2004 found moderate amount of intron gain among Pezizomycota
• Intron gain IS happening in lineages but among sampled closely related genomes there are few examples of intron gains...
• ... and little convincing evidence of the molecular mechanism of this gain (duplication, self-splicing, de-novo intron creation)
• More work needed to understand dynamics and mechanisms of gene structure change
B. dendrobatidis genomics
• Amphibian pathogen killing frogs worldwide
• Chytrid fungus with motile zoospore and zoosporangia stage
• Genome sequencing of 2 strains
• JEL423 (Joyce Longcore; Panama) and JAM81 (Jess Morgan; Sierras, California)
• 24 Mb genome; ~8,000 genes
• Tiling genomic microarray and exon array in development (Eisen lab)
motilezoospore
zoosporangia
B. dendrobatidis genomics
• Amphibian pathogen killing frogs worldwide
• Chytrid fungus with motile zoospore and zoosporangia stage
• Genome sequencing of 2 strains
• JEL423 (Joyce Longcore; Panama) and JAM81 (Jess Morgan; Sierras, California)
• 24 Mb genome; ~8,000 genes
• Tiling genomic microarray and exon array in development (Eisen lab)
motilezoospore
zoosporangia
C. neoformans ~7,000C. cinereus ~10,000U. maydis ~7,000S. cerevisiae ~6,000A. fumigatus ~10,000
BDEN_JAM81_01417
NCU02741.1
UM03290.1
SPAC644.14c
GLEAN_01130
YER095W
Strand exchange protein, forms a helical filament with DNA that searches for homology; involved in the recombinational repair of double-strand breaks in DNA during vegetative growth and meiosis; homolog of Dmc1p and bacterial RecA protein
Gene structure evolution: B.dendrobatidis genes are intron rich
B.dendrobatidis
U.maydis
P.chrysosporium
S.pombe
N.crassa
S. cerevisiae
Phylogenetic profiling
• Classify a genes as to which phylogenetic clades it shares homologs with.
• Can be simply a similarity search (BLAST) to representatives genomes.
• Summarize the number of shared genes by different patterns
• Using Chytrid genes to identify genes present in ancestor, shared with animal outgroup.
• Find genes lost at different part of tree
• By comparing all genes in lineages back to Chytrid can identify potential gene gains
Basidiomycota
AscomycotaZygomycota
1550 (19.2%) Chytrid specific genes
606
4685
168395
122
63
119
Fungi
PlantAnimal
262
3732
556 123
Phylogenetic profile of B.dendrobatidis genes
8068 B. dendrobatidis genes
Basidiomycota
AscomycotaZygomycota
1550 (19.2%) Chytrid specific genes
7.5%
58%
2%4.9%
1.5%
.7%
1.5%
Fungi
PlantAnimal
3.3%
46%
6.9% 1.5%
Phylogenetic profile of B.dendrobatidis genes
Fungal cell wall
Latgé JP
Evolution of cell walls
• Fungal cell wall are made of
• Chitin, Beta-glucans, Mannin,other sugars
• Animals lack cell walls
• Plants have rigid cell walls
• Can learn about opisthokont ancestor from learning about the ancestral fungus
Baldauf SL. Science 2003
Evolution of cell wall: 1,3 Beta-glucan synthesis
Genes C Z B A1,3-beta-D-glucan synthase (FKS1) ✘ ✔ ✔ ✔
Cell surface reg kinase (HKR1) ✘ ✘ ✘ ✔
Regulator (SMI1) ✘ ✘ ✔ ✔
1,3-beta-glucanase (EXG1) ✘ ✔ ✔ ✔
Glucosidase (GTB1) ✔ ✔ ✔ ✔
1,6-beta-glucan biosynthesis (KNH1) ✘ ✘ ✘ ✔
glucosyltransferase (KRE5) ✔ ✔ ✔ ✔
Glucosidase activity (KRE6) ✘ ✘ ✔ ✔
Glucosidase activity (SKN1) ✘ ✘ ✔ ✔
uridylyltransferase (UGP1) ✔ ✔ ✔ ✔
1,3 β-
gluc
an1,
6 β-
gluc
an
Evolution of cell wall: 1,3 Beta-glucan synthesis
Genes C Z B A1,3-beta-D-glucan synthase (FKS1) ✘ ✔ ✔ ✔
Cell surface reg kinase (HKR1) ✘ ✘ ✘ ✔
Regulator (SMI1) ✘ ✘ ✔ ✔
1,3-beta-glucanase (EXG1) ✘ ✔ ✔ ✔
Glucosidase (GTB1) ✔ ✔ ✔ ✔
1,6-beta-glucan biosynthesis (KNH1) ✘ ✘ ✘ ✔
glucosyltransferase (KRE5) ✔ ✔ ✔ ✔
Glucosidase activity (KRE6) ✘ ✘ ✔ ✔
Glucosidase activity (SKN1) ✘ ✘ ✔ ✔
uridylyltransferase (UGP1) ✔ ✔ ✔ ✔
1,3 β-
gluc
an1,
6 β-
gluc
an
Flagella in fungi
• Loss of flagella was a one or a few events
• Find shared genes in animal and Chytrid genomes but missing fungi
• Many of these genes are even shared with cillia & flagellar genes with Chlamydomonas.
• Microarray expression data differences between zoospore and sporangia
• Flagella Dynein 64x up regulated in zoospores.
Hypothesis for new cell wall genes and transition to terrestrial life
• Cell wall of ancestral fungus adapted for aquatic fungus which had flagella.
• Loss of flagella as part of adaptation to terrestrial life.
• Additional gene family duplication and specialization.
• Chitin synthase expansions
• FKS1 1,3-Beta-glucan pathway evolution
• Substrate for complex multicellular evolution and morphological elaboration.
Collaboration
• Erica Rosenblum, Michael Eisen, John Taylor; University of California, Berkeley
• Igor Grigoriev, Alan Kuo; DOE Joint Genome Institute
• Christina Cuomo, Antonis Rokas; Broad Institute of MIT and Harvard
• Tim James; Uppsala University
• http://fungal.genome.duke.edu - genome browser and annotations
• http://fungalgenomes.org
• Blog & Wiki for Genome data
• Coming soon: Genome Browser and comparative resources