Evolution of SET-domain protein families in the unicellular and multicellular Ascomycota fungi
© Veerappan et al; licensee BioMed Central Ltd. 2008
Received: 23 February 2008
Accepted: 01 July 2008
Published: 01 July 2008
The evolution of multicellularity is accompanied by the occurrence of differentiated tissues, of organismal developmental programs, and of mechanisms keeping the balance between proliferation and differentiation. Initially, the SET-domain proteins were associated exclusively with regulation of developmental genes in metazoa. However, finding of SET-domain genes in the unicellular yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe suggested that SET-domain proteins regulate a much broader variety of biological programs. Intuitively, it is expected that the numbers, types, and biochemical specificity of SET-domain proteins of multicellular versus unicellular forms would reflect the differences in their biology. However, comparisons across the unicellular and multicellular domains of life are complicated by the lack of knowledge of the ancestral SET-domain genes. Even within the crown group, different biological systems might use the epigenetic 'code' differently, adapting it to organism-specific needs. Simplifying the model, we undertook a systematic phylogenetic analysis of one monophyletic fungal group (Ascomycetes) containing unicellular yeasts, Saccharomycotina (hemiascomycetes), and a filamentous fungal group, Pezizomycotina (euascomycetes).
Systematic analysis of the SET-domain genes across an entire eukaryotic phylum has outlined clear distinctions in the SET-domain gene collections in the unicellular and in the multicellular (filamentous) relatives; diversification of SET-domain gene families has increased further with the expansion and elaboration of multicellularity in animal and plant systems. We found several ascomycota-specific SET-domain gene groups; each was unique to either Saccharomycotina or Pezizomycotina fungi. Our analysis revealed that the numbers and types of SET-domain genes in the Saccharomycotina did not reflect the habitats, pathogenicity, mechanisms of sexuality, or the ability to undergo morphogenic transformations. However, novel genes have appeared for functions associated with the transition to multicellularity. Descendents of most of the SET-domain gene families found in the filamentous fungi could be traced in the genomes of extant animals and plants, albeit as more complex structural forms.
SET-domain genes found in the filamentous species but absent from the unicellular sister group reflect two alternative evolutionary events: deletion from the yeast genomes or appearance of novel structures in filamentous fungal groups. There were no Ascomycota-specific SET-domain gene families (i.e., absent from animal and plant genomes); however, plants and animals share SET-domain gene subfamilies that do not exist in the fungi. Phylogenetic and gene-structure analyses defined several animal and plant SET-domain genes as sister groups while those of fungal origin were basal to them. Plants and animals also share SET-domain subfamilies that do not exist in fungi.
The genes encoding proteins that contain SET-domain sequences (SET-domain genes) are ancient, existing in the Bacterial Domain of life , but have proliferated and evolved novel functions connected with the appearance of eukaryotes. Because SET-domain proteins modify chromatin by methylating specific lysines on the histone tails [2–4], it is not surprising that SET-domain genes are present in eukaryotes from the simple unicellular organisms to the multicellular animals and plants. The pattern and the complexity of epigenetic marks 'written' by the SET-domain proteins correlate with the increased requirements of multicellular organisms [5, 6] including regulation of proliferation, ontogenesis, adhesion-mediated silencing, and disease [7–11].
The fungal division Ascomycota provides a unique model to trace the fate of the SET-domain genes in connection to multicellularity within one monophyletic group. It contains the unicellular Saccharomycotina (hemiascomycetes) and the multicellular filamentous fungi Pezizomycotina (or euascomycetes) as sister-groups. Schizosaccharomyces pombe (S. pombe), which belongs to the Taphrinomycotina (or archiascomycete), is an outgroup [12, 13]. The fungi selected from the Saccharomycotina for this study include species existing as unicellular yeasts [Saccharomyces cerevisiae (S. cerevisiae), Candida glabrata (C. glabrata), Debaryomyces hansenii (D. hansenii), and Yarrowia lipolytica (Y. lipolytica)], as a permanently filamentous yeast, Ashbya gossypii (A. gossypii), or as an organism that changes morphology from the yeast to the filamentous forms in response to environmental cues, the dimorphic Candida albicans (C. albicans).
The Saccharomycotina has diverged from the filamentous fungi around 400 million years ago and at estimated >1 billion years ago from animals and plants [13–15]. Substantial events might have taken place during such periods of time; thereby, by comparing the SET-domain genes in unicellular and filamentous Ascomycetes, it might be possible to identify families that have evolved in connection with the appearance of the filamentous (multicellular) forms. Neurospora crassa (N. crassa) is a standard model for the Pezizomycotina (euascomycetes) group because it is a generalist species, less specialized in its biology than many pathogens, symbionts, and fungi of narrow habitat [16, 17]. N. crassa is a bearer of the ancestral characteristics, allowing comparisons of SET-domain gene representation in the closely related pathogen Magnaporthe grisea (M. grisea), in the slightly more distant Fusarium graminearum (F. graminearum), and in the more distantly related Aspergillus fumigatus (A. fumigatus). SET-domain genes found in N. crassa and in the other filamentous fungi, but not in their unicellular relatives, could illustrate evolution of genes connected with transition to multicellular functions; unshared SET-domain genes between nonpathogenic and pathogenic relatives might be related to pathogenicity. Extended comparisons with SET-domain types and families present in the metazoan and plant genomes could outline evolutionary relationships between plant, animal, and fungal kingdoms. A few multicellular genomes, including an invertebrate (Drosophila melanogaster), a mammal (Mus musculus), and a plant (Arabidopsis thaliana), are provided as a reference and are not discussed in detail.
The main questions asked here were: first, whether the type and the number of SET-domain genes in species from the same phylum would correlate with their existence as unicellular or multicellular (filamentous) forms; second, whether the ability of some yeasts to acquire dimorphic forms, to exist as a permanently filamentous yeast, or to occupy a specific niche (i.e., to act in fermentation or as pathogens) would be reflected by the SET-domain gene collection within the genome; third, whether presence of certain SET-domain genes in a fungal genome would suggest occurrence of novel SET-domain genes or loss of existing SET-domain genes; and fourth, to examine the phylogenetic relationships between the SET-domain gene families of yeast, of higher filamentous fungi, of animals, and of plants to see if their evolution would parallel the transition steps from unicellular, to simple multicellular, and to more complex multicellular systems.
Overall genome representation, distribution, and phylogenetic analysis of the fungal SET-domain proteins
The sizes of the fourteen genomes and the total numbers of ORFs are not linearly correlated; the genomes of the filamentous fungi are approximately three times the size of the yeasts (except Y. lipolytica) while the overall number of identified ORFs is only 1.6-to-2 fold higher than in yeasts. On the other hand, the numbers of SET-domain containing genes in the Pezizomycotina species (13–23) are about 3-fold higher compared to those of the yeasts (5–6; Fig. 3). Non-linear increasement in the number of SET-domain genes is even more pronounced in the animal and plant genomes: about 70 predicted SET-domain genes in the human and mouse genomes, around 40 in D. melanogaster , and around 40 in A. thaliana . Increased numbers and diversification of encoded SET-domain proteins reflect, perhaps, increased diversity and complexity of multicellular programs.
Despite the smaller number of ORFs than most Saccharomycotina fungi , the single-living Taphrinomycotina (archiascomycete), S. pombe, carries three SET-domain genes (SET9, MYND-SET, and a Su(var)3-9 homologue). These SET-domain genes are present in the Pezizomycotina and in animals/plant, but remarkably absent from the other yeasts (except Y. lipolytica, which carries a SET9 gene) (Fig. 3). Presence of these genes supports a conclusion that S. pombe and Y. lipolytica share many common features with the filamentous relatives [22, 23]. Lastly, S. pombe and Y. lipolytica carry one copy of a SET-domain gene of unclear origins. These S. pombe-specific and the Y. lipolytica-specific putative SET-domain proteins, unrelated to each other or to any of the 182 sequences analyzed, are annotated as 'unknown' (Fig. 3) and were excluded from further analyses.
Saccharomycotina genomes have been subjected to expansions (whole-genome duplications) and deletions (reductive evolution), which have shaped the genome sizes of extant yeasts [23, 24] varying between 9.2 Mb (A. gossypii) to 20 Mb (Y. lipolytica) and overall putative gene numbers between ~4,700 and ~7,000 (Fig. 3). However, the total number of the SET-domain genes in all tested Saccharomycotina is remarkably constant: five or six. Most yeast SET-domain genes are single-copy representatives of distinct subgroups. The SET4 gene, an apparent duplication of SET3 (see below for further discussion) accounts for the difference in the number of SET-domain genes of S. cerevisiae and C. glabrata versus other yeasts; SET6 might have been deleted from the genome of Y. lipolytica or, alternatively, a duplication of SET5 to yield SET6 might have taken place, after the separation of Y. lipolytica from the other yeasts . We note also that both SET5 and SET6 are absent from S. pombe, indicating that these genes encode functions limited to the specific needs of the Saccharomycotina group.
Distribution of each SET-domain group among fungi
Analyses of the distribution of the fungal SET-domain types will be carried out in the context of the transition from unicellular to multicellular filamentous, and to animal/plant multicellular systems. We shall follow genes that are present in: all studied genomes, Saccharomycotina-specific genes, families that are excluded from the Saccharomycotina, and those that are found in specific fungal groups.
1. SET-domaingenes present in all studied genomes
Genes preserved in all tested genomes, across the kingdoms, suggest that they are involved in 'core' cell functions rather than in functions associated with multicellularity. Proteins that satisfy this criterion belong to SET1, SET2, and SET3 subfamilies (Fig. 3). It is specifically noted that these subfamilies belong in larger families containing groups that might have evolved later, possibly in connection with multicellularity. Fungal SET-domain proteins are analyzed in reference with the S. cerevisiae families because they have been studied best and because the SET-domain genes of this yeast have been a model and a reference for histone lysine methyltransferase analysis in multicellular systems.
The SET1/TRITHORAX family
The SET1 subfamily
The ancestral gene encoding SET1 in S. cerevisiae has been conserved throughout the evolution and is present in all species examined in this study (Fig. 3). The SET-post-SET sequences (located at the C-terminus) are highly conserved in all examined SET1 proteins (Fig. 4a, see also Additional file 3). In the Saccharomycotina, the upstream regions are highly conserved as well: C. glabrata and A. gossippi are 56% similar (37% identical) and 54% similar (34% identical) to the upstream S. cerevisiae sequence, respectively; the region is more diverged between the Saccharomycotina, S. pombe, and the Pezizomycotina fungi, the similarity with S. cerevisiae ranging from 41 to 39%, respectively. The upstream regions contain an RRM (RNA-recognition motif) [25, 26], which may affect the level of K4 methylation [27, 28]. Most likely, it does not bind RNA but may interact with protein, instead [29, 30]. Congruent with the domain architecture, the fungal SET1 proteins form a well-supported group (SET1 group 3 in Fig. 1) with the S. pombe SET1 as the most outgroup. SET1-related proteins, with conserved RRM upstream of the SET domain, are present also in the animal and plant genomes suggesting preservation of the SET1-encoded function in the evolution from fungi to metazoa/plants. One gene copy in Drosophila encodes a SET1 homologue (EAL24599, identified by the Heterochromatin Genome Project, which was recently released and not included in the sequence set we analyzed), whereas in mouse, as well as in human, the gene has undergone duplication (see Additional file 2); in Arabidopsis, the ATXR7 gene (At5g42400) encodes a SET1 counterpart (BAB10481). SET1-homologues of animal and plant origin cluster in SET1 group 2 with bootstrap supporting values between 60% and 70% (Fig. 1).
Thereby, if the conserved SET1-related genes from the genomes of unicellular fungi, of filamentous fungi, and of metazoa/plant were orthologues, they would play 'core' cellular roles not connected with the occurrence of multicellularity. This does not preclude involvement of SET1-related genes in regulation of development in multicellular organisms.
The Trithorax (TRX) subfamily
This group, shown as SET1 groups 1 and 4 in Fig. 1, contains no gene of fungal origin and will not be discussed in detail. However, we emphasize that in animal/plant genomes, an ancestral SET1-related gene has multiplied and diversified its structure and, most likely, function. The PHD (plant homeodomain) and the FYRN- and FYRC-domains (collectively called Domain associated with SET in Trithorax, DAST, in ) are considered to be signature motifs for the members of the Trithorax subfamily (Fig. 4b). It is noted that the two subgroups of animal Trithorax proteins differ by the position of the FYRN- and FYRC-domains (juxtaposed or separated), while the plant Trithorax homologues, ATX3, ATX4, and ATX5, do not carry DAST motifs . Hallmark of the SET1/Trithorax family proteins is their biochemical activity methylating histone H3-lysine4 (H3K4). SET1 is responsible for the overall chromatin mono-, di-, and tri-methylation of H3K4 in S. cerevisiae, while known animal and plant Trithorax enzymes modify only a limited fraction of target nucleosomes [32–34]. The roles of the additional motifs are largely unknown but acquisition of new building blocks reflects the evolution of the proteins in parallel with the requirements for novel functions emerging in animals and plants.
The SET2/ASH1 family
The SET2 subfamily
Apparently, these genes are of an ancient origin existing before the divergence of the three kingdoms. They are present in all examined genomes (Fig. 3, SET2 group 2 in Fig. 1). In addition to the AWS-SET domains, all fungal members as well as animal (both vertebrate and invertebrate) members of the SET2-subgroup 2 carry a downstream WW-peptide participating, most likely, in protein-protein interactions and the SRI motif mediating RNA polymerase II interaction (Fig. 5a) [35, 36]. It is conceivable, then, that SET2 subtype genes have been conserved for RNase polymerase II-interaction as a core cellular function and, thus, unlinked with multicellularity. We note also that the sole S. pombe SET2 copy (NP_594980) does not carry the WW motif. The Arabidopsis SET2 homologue candidates either cluster with animal SET2 proteins (AAC34358) or are located as the outgroup (AAF04434, as well as CAA18207 and AAC23419) (Fig. 1). The SET2 subfamily also includes metazoa-specific groups: NSD (nuclear receptor binding SET domain protein) and WHSC (Wolf-Hirschhorn syndrome candidate) (represented by NP_001001735 in Fig. 1; see also Fig. 2b).
The ASH1 subfamily
The second SET2 gene from the filamentous fungi was defined as an ASH1-family member by phylogenetic analysis (SET2 group 1 in Fig. 1). The family is named after the ASH1 protein of Drosophila. Notably, the fungal ASH1-members do not carry recognizable structural motifs other than SET, post-SET, and AWS, while animal and plant members contain additional domains (Fig. 5b, see also Additional file 3).
The SET2 family cluster is well supported (91% bootstrap value by maximum likelihood phylogeny) indicating that the SET2-ASH1 paralogues are phylogenetically and structurally closely related. It is noteworthy then, that the proteins from the two subfamilies have histone methyltransferase activities with different substrate specificities. The SET2 methyltransferases of S. cerevisiae and S. pombe are responsible for mono-, di-, and tri-methylation of H3K36 [35, 36]; the SET2 orthologue in N. crassa, required for normal growth and expression of genes in the asexual and sexual differentiation pathways, also methylates H3K36 . However, the epigenetic activator ASH1 of Drosophila is a multi-catalytic histone methyl-transferase (HMTase) methylating H3K4, H3K9, and H4K20 , while the activity of an ASH1-related protein has not been reported for any orthologue of fungal origin.
The SET3 family
SET3-related genes are found as single copies across the genomes of yeasts, multicellular fungi and animal genomes suggesting that a SET3 gene has existed in the common ancestor before the separation of the animal and fungal domains of life (summarized also in Fig. 2c). The fungal SET3 proteins form a well-supported cluster with subgroups, each carrying proteins from the Saccharomycotina fungi, the Pezizomycotina (filamentous) fungi, or animals. Amino acid substitutions in the catalytic site by arginine (R) residues are a hallmark of SET3-type proteins. The unusual SET domain (RRSCQPN, see Additional file 4) divergent from the motif critically involved in the HMTase enzyme function (NHSCDPN) accounts for the lack of histone methyltransferase activity of the S. cerevisiae SET3. However, it is a component of a histone deacetylase complex involved in the meiosis-specific repression of sporulation genes . In this context, it is difficult to predict the role of metazoan SET3 counterparts but their conservation implies biological significance.
Two Arabidopsis proteins, ATXR5 and ATXR6 (NP_196541 and NP_197821, respectively), were reported earlier to be clustering with the S. cerevisiae SET3 and SET4 proteins . However, in our analysis, the Arabidopsis proteins did not segregate with the yeast SET3/4 (see the draft phylogeny in Additional file 2). Furthermore, a detailed comparative analysis with the yeast sequences did not reveal significant conservation. Most importantly, the Arabidopsis SET domain sequences do not carry the hallmark amino acid substitutions. ATXR5 and ATXR6 interact with the proliferating cell nuclear antigen (PCNA) and are critically involved in DNA replication, DNA repair, maintenance and heterochromatin formation .
The SET4 family
The JmjC family
Although JmjC-SET/SET3 cluster is not supported by bootstrap analysis (Fig. 1), the structural relationship between the SET domains of JmjC-SET and the yeast SET3/4 families is reflected by the characteristic R-substitutions in the catalytically relevant sequences (see Additional files 4 and 5). In contrast to SET3/4 families, this family is found only in filamentous fungi. It is represented by a single gene in N. crassa and in A. fumigatus, by a duplication in M. grisea, but has not been identified in F. graminearum. Therefore, the activity encoded by JmjC-SET plays subphylum-specific role but may be species-specific as well.
None of the known JmjC proteins appears together with a SET-domain outside the filamentous fungi. The striking feature of this combination is that the JmjC domain is a catalytic module for histone lysine-demethylation [43, 44]. Although their activity is evolutionarily conserved from human to yeast, as shown recently for seven JmjC proteins from S. pombe , none of these proteins appears together with a SET. It re-enforces the conclusion that the combination of the two motifs is a feature uniquely occurring only in the filamentous fungal proteins. Whether the SET domain of JmjC has a methyltransferase activity has not been demonstrated. However, its possible relatedness with the SET domain from the SET3/4 families suggests that it might not be active as a histone methyltransferase.
2. The SET5, SET6, and related families
Based on our phylogenetic analysis (Fig. 1), the distribution of SET5, SET6, and related families is summarized also in Fig. 2d. The yeasts' SET5 and SET6 families belong in a larger cluster that includes families represented across the kingdoms (SET-MYND), as well as families specific for the filamentous fungi (SET-TPR), and species-specific groups (SET-Mg and SET-Dm). Apparently, the cluster has originated from an ancestral gene that has undertaken different evolutionary paths at the separation of the fungi from the other kingdoms and at the separation of the Ascomycetal sister groups.
The SET5 and SET6 families
SET5 and SET6, each segregating into a well-supported cluster, are yeast-specific genes absent from the genome of S. pombe. SET6, implicated in ergosterol biosynthesis , is absent from the more distant Y. lipolytica suggesting that the gene encodes a narrow Saccharomycotina-specific function. SET5 and SET6 encode related ~500 amino acid proteins containing the SET domain as the only recognizable conserved structural motif. A signature feature is the long SET-I (insertion region of ~125 a.a.) producing a split SET domain. No role has been established for SET5 yet but, apparently, it is yeast-specific.
Filamentous fungal genes related to the SET5/SET6 families
Several copies of genes encoding SET-domain proteins similar to the SET5/6 protein group were retrieved from the genomes of the filamentous fungi (shown in the draft phylogeny in Additional file 2). These genes encode relatively short (300–500 a.a.) proteins containing only SET domains. They were not included in Fig. 1 because their sequences could not be aligned with confidence. No function is known for any of these proteins, but absence of apparent orthologues from yeast, as well as from animal/plant genomes, illustrates a highly specific evolution of these genes in the filamentous fungal genomes. In addition, a highly supported (99% bootstrap value) cluster of five SET-domain genes was found in M. grisea, encoding species-specific (SET-Mg) proteins. It is interesting to note also the D. melanogaster specific cluster (SET-Dm) in this group suggesting an intriguing property of the SET5/6-related genes towards proliferation and adaptation for species-specific needs by diverse organisms.
The TPR-SET family
Found only in the filamentous fungi, this family is a combination of a SET 5/6-related domain with an upstream tetratrico- peptide repeats (TPR, involved in protein-protein interactions) ; two members of the family are present in M. grisea and F. graminearum genomes. We note that one Arabidopsis gene (At1g26760) encodes a SET-domain protein combined with TPR (AAF87042), which clusters with the fungal TPR-SET cluster (Fig. 1). However, this relationship is not strongly supported, making their evolutionary relationship unresolved.
The MYND-SET family
This family is noteworthy because it contains genes found in S. pombe, in the filamentous group, in metazoa, and in Arabidopsis, but not in the Saccharomycotina fungi. The SET domains of the MYND-SET family form a well-supported cluster within the larger SET5/SET6 family (Fig. 1), suggesting shared ancestry. MYND-SET proteins carry a Zn-binding domain called the MYND-finger (myeloid, nervy, and DEAF-1 factor) involved in H3K36- and in H3K4-specific methylation [48, 49]. The metazoan subfamily, SMYD, is critically involved in suppressing cell proliferation and carcinogenesis [48, 49]. No role is known for any MYND-SET protein of either plant or fungal origin.
3. Gene families conserved in all genomes, except in the Saccharomycotina
The SUV3-9 and SET9 (SUV4-20) families are represented in the genomes of the unicellular S. pombe, in the Pezizomycotina, as well as in the animal and plant genomes, but are not found in the Saccharomycotina. Absence from the entire Saccharomycotina group suggests that these genes are unlikely to be involved in 'core' functions but, rather, in mechanisms used by the fission, filamentous, and multicellular eukaryotes; alternatively, these orthologous genes might be used differently and, consequently, be involved in different cellular processes in the fungi than in animals and plants (discussed below).
The SUV3-9 family
Genes of this family have undergone extensive proliferation in animal and plant genomes, particularly in Arabidopsis (Fig. 3) . The family is divided into multiple subgroups illustrating its internal heterogeneity (Fig. 1) [34, 50]. Here, analysis will be limited to the two subtypes, Su(var)3-9 and G9a, because they are relevant for Ascomycota (summarized also in Fig. 2e).
The Su(var)3-9 subfamily
The Su(var)3-9 subfamily proteins catalyze methylation of K9 of histone H3  essential for heterochromatin formation in metazoa  and in S. pombe , and link histone H3K9 methylation with DNA methylation in N. crassa [54–56]. Absence of Su(var)3-9 genes from the Saccharomycotina fungi has had enormous consequences for the evolution of heterochromatin-like gene-silencing mechanisms in yeast (see Discussion).
The G9a subfamily
Discovered initially in the human major histocompatibility complex locus, the G9a genes are ubiquitously expressed. It is represented by a M. musculus sequence (NP_766133) in the SUV3-9 group 3 in Fig. 1 (it forms a small cluster including D. melanogaster sequence in Additional file 2). The mammalian G9a proteins contain pre-SET and SET domains of the Su(var)3-9-type, plus ankyrin (ANK) repeats (Fig. 7b, see also Additional file 3) with a strong HMTase activity towards H3K9. In contrast to its paralogue Su(var)3-9, G9a plays a role as a transcriptional suppressor of genes in euchromatic regions but not in heterochromatin . Arabidopsis G9a proteins (group 2 in the SUV3-9 cluster in Fig. 1) carry SRA (SET and RING finger associated domain) instead of the ANK repeats. These Arabidopsis genes have proliferated (at least 10 genes belong to the this subfamily ) and are involved in mediating DNA methylation [57–59]. Among the examined fungi, an N. crassa protein (EAA30745) showed weak similarities against mammalian G9a SET-domain sequences (~30% identities). This fungal protein has only the SET domain (Fig. 7b). The phylogenetic relationship of the N. crassa sequence (EAA30745) has not been resolved (see the draft phylogeny in Additional file 2).
The SET9 (SUV4-20) family
The fungal SET9 genes belong to the SUV4-20 family characterized in metazoa [60, 61]. Due to the lack of confidence in alignment, this family is not included in Fig. 1. In the draft phylogeny (see Additional file 2), these sequences are clustered and indicated in blue. Putative SET9 homologues are present in S. pombe (NP_588078) as well as in the filamentous fungi. Members of the family are absent from yeasts, except Y. lipolytica (XP_504243). SET9/Su(var)4-20 genes have not beenfound in Arabidopsis (nor in rice nor maize).
Proteins from the SUV4-20 family carry only a SET domain located at the N-terminal half (see Additional file 3). These genes encode histone methyl transferases, specifically tri-methylating H4K20, an evolutionarily conserved epigenetic mark for heterochromatin . Remarkably, in the fission yeast, SET9 generates methylated H4K20 but it is used as a sign for DNA repair mechanisms, not for heterochromatin .
4. The Enhancer of zeste (E(Z)) family: a SET-domain family found only in the filamentous fungi and in higher multicellular organisms
In our analysis, E(z)-type genes were not found in the Saccharomycotina nor in the S. pombe genome. It is tempting to suggest that the ancestral E(z) gene has appeared as a novel SET-domain function inherited by extant filamentous fungi, animals, and plants (see also Fig. 2g). The structure of the E(z)-SET domain and its biochemical activity (see Discussion) are consistent with the idea that the gene has appeared later in the evolution.
Three proteins found in the filamentous fungi (XP_381075, EAA35807, and XP_369092) cluster with the animal/plant E(z) family but with low bootstrap values (51% by the maximum likelihood and 79% by the maximum parsimony). No E(z)-related gene was identified in A. fumigatus, possibly representing gene-loss (incomplete genome sequence is also possible). The fungal proteins do not carry additional structural domains, which are uniquely conserved in the E(z) proteins of animal and plant origin (see Additional file 3) and belonging of the fungal genes to the E(z)-type group is inconclusive (marked with a star in Fig. 2g). E(z) methylates specifically H3K27 within Polycomb PRC2 complexes, a landmark for gene silencing mechanisms [63, 64]. Absence of E(z)-related genes in the unicellular yeasts indicates that Polycomb mechanisms do not operate in these systems.
Correlations between genome evolution, overall gene content, and organismal complexity, revealed in whole-genome comparative analyses, have outlined evolutionary trends associated with the occurrence of multicellularity [17, 65]. It was suggested that core biological functions, common for both unicellular and multicellular organisms, would be carried out by a comparable number of orthologous proteins, while specialized processes unique to multicellulars would use novel proteins . Our analyses support a positive correlation between the numbers and types of SET-domain genes found in multicellular versus unicellular fungi; a similar tendency was observed when the simpler multicellular (filamentous) fungi were compared with multicellular animal and plant genomes. Analysis of the distribution of individual SET-domain fungal genes, however, revealed some unexpected trends, particularly within the Saccharomycotina group.
Morphology, habitats, mating mechanisms and pathogenicity of yeasts and their SET-domaingene contents
Despite a broad range of lifestyles, life cycles, and mating mechanisms , the numbers of SET-domain genes in the respective yeast species is remarkably constant and the gene structure is highly conserved. Neither the large Y. lipolytica genome size nor the extensive gene-loss in C. glabrata is reflected by the numbers of the SET-domain genes suggesting that in yeasts, the collection of SET-domain genes has been selectively maintained. The permanently filamentous yeast A. gossypii displays high genomic synteny with S. cerevisiae but has a very different morphology and occupies a specific niche: a plant pathogen. A. gossypii grows as multinucleated hyphae in the subtropics, while S. cerevisiae proliferates as single cells associated with sugar-containing fruits [23, 67–69]. C. glabrata, closely related to S. cerevisiae, is a pathogen living on mucosal human tissues, while the more distant pathogenic C. albicans grows as yeast but may switch to hyphal growth when exposed to host serum. Genes from pathogenic species that differ from S. cerevisiae might have a role in the virulence [23, 70]. Despite the strikingly different biology of thee yeasts, their SET-domain genes are fully shared suggesting orthologous functions. In such a context, the yeast SET-domain genes cannot be considered critical for the dimorphic transitions, for hyphae formation, for long-range nuclear dynamics, or as factors contributing to the pathogenicity.
SET-domain genes do not seem to be underlying differences in the life cycles and sexual mechanisms adopted by the individual species, either. D. hansenii is homothallic with essentially haplontic life cycle and Y. lipolytica is heterothallic (self-sterile) with a haplo-diplontic cycle, while sexual cycles are unknown for C. glabrata [23, 67] and, until recently, for C. albicans . Although C. albicans has mating-type-like (MTL) genes that resemble the mating-type genes of S. cerevisiae, C. albicans is able to mate under anaerobic conditions reflecting its adaptation as an anaerobic parasite . Finally, D. hansenii and Y. lipolytica have one mating type-locus, whereas C. glabrata possesses three mating type-like loci with configurations similar to that of S. cerevisiae . Given the importance of the diversity of sexual mechanisms for the evolution of the species, it is remarkable that these mechanisms are, most likely, not connected with the evolution of the yeast SET-domain genes. We emphasize, however, that this conclusion does not preclude participation of SET-domain genes in these processes; rather, it suggests that the different biology of the species is not connected to specific diversifications of the SET-domain genes per se. It agrees with observations from whole-genome analyses that almost identical gene sets control diverse cellular functions in yeasts suggesting that orthologous genes might not play identical cellular roles in different yeast systems [23, 67, 69]. Differences, like the presence of SET4 in S. cerevisiae and C. glabrata and the absence of SET6 from Y. lipolytica are, most likely, connected to the fermentative lifestyle  and to metabolic specificities of organisms, rather than with differences in the morphology, in sexual mechanisms, or in pathogenicity.
Evolution of the activating and repressive marks in the fungi; Consequences of lost SET-domaingenes in Saccharomycotina
The SET9 (SUV4-20), SET-MYND, and Su(var)3-9 genes, found in S. pombe, in filamentous fungi, in animals, and in plants, but absent from the Saccharomycotina, suggest that the encoded activities are not involved in 'core' functions. They are involved in generating marks for silencing mechanisms implying that these silencing mechanisms do not exist in the Saccharomycotina. SET9 (SUV4-20) tri-methylates H4K20, a mark for pericentric heterochromatin  and MYND-SET family members (studied only in animals so far) generate H3K36 marks involved in suppression of cell proliferation [48, 49], while SUV39 methylates H3K9 critical for heterochromatin formation . Recent findings have suggested that epigenetic 'ON' marks are reduced in evolution, while the 'OFF' signs have significantly increased; unicellular organisms contain more marks associated with transcriptional activation, whereas mammals contain more modifications associated with repression [5, 6]. Indeed, the only known histone methylation marks in S. cerevisiae (H3K4, H3K36 and H3K79) and the enzymes generating them (SET1, SET2, and DOT1, an unrelated to SET domain that methylases K79) are associated with gene-activation . Absence of SET9, MYND- SET, and Su(var)3-9 genes from the Saccharomycotina is consistent with this evolutionary trend. However, their presence in S. pombe (and of SET9 in Y. lipolytica) suggests that the 'silencing' marks established by the encoded activities are not signature features of multicellular genomes; moreover, the epigenetic marks might be 'read' differently. For example, SET9 of S. pombe methylates H4K20 but it is a sign for DNA damage response in S. pombe  rather than for heterochromatin [60, 61]. Absence of genes encoding silencing marks in the Saccharomycotina, thereby, raises an important question described next.
How do yeasts silence genes and genomic regions?
Answers may be found in the remarkable ability of yeasts to adopt available means to achieve ends that are functionally similar but molecularly different from mechanisms employed by other systems. The most striking example is the loss of the Su(var)3-9 gene from the Saccharomycotina because loss of SUVR39 protein entailed loss of the epigenetic H3K9me mark, and of the entire machinery involved in making heterochromatin . Nonetheless, silencing processes involving the MAT cassettes, the ribosomal loci, and the telomeric regions are achieved through mechanisms similar to the assembly of heterochromatin . Even more surprising is that close S. cerevisiae relatives do not use the same tools but have evolved species-tailored mechanisms for achieving effects functionally similar to heterochromatin. There is no Sir1 (Silent information regulator 1) in C. glabrata, no Sir1 and Sir3 in A. gossypii; neither Sir nor the RNAi-pathways are conserved in D. hansenii and none of the S. cerevisiae heterochromatin factors was found in Y. lipolytica . Collectively, the data illustrate the great evolutionary divergence of 'invented' mechanisms producing silencing effects in systems that have lost the epigenetic H3K9me mark.
Furthermore, loss of SET9 and MYND-SET related genes encoding gene-silencing functions has resulted in evolving mechanisms that take advantage of the degree (mono-, di-, or tri-) methylation of the lysine NH2- groups to achieve different transcriptional outcomes for pertinent genes. In S. cerevisiae, di- (H3K4me2) or tri- (H3K4me3) methylated lysines are associated with non-active, or actively transcribed sequences, respectively [77, 78]; in Arabidopsis, H3K4me2 marks are found at genes, independently of whether they were transcribed or not, while the H3K4me3 marks were enriched at active loci . In metazoa, both modifications are associated with actively transcribed genes but are differentially distributed along the gene sequence with the H3K4me3 marks accumulated at the transcription start-sites [20, 33].
Thereby, the amount of methyl tags on the same lysine residue may function as repressive or activating signs in S. cerevisiae, while the fission, filamentous, and higher multicellular systems use additional signs carried by a larger number and diversity of methylation marks.
SET-domaingenes specific for the filamentous fungi
Consistent with their greater morphological and developmental complexity, the filamentous fungi have a greater number of genes than their unicellular relatives. Conserved proteins among the filamentous fungi may be implicated in their morphogenesis, while non-conserved, species-specific genes might be associated with pathogenic capabilities [16, 17, 80–85]. According to these criteria, the different types and numbers of SET-domain genes in the Pezizomycotina compared to the yeasts (Fig. 3) might encode functions linked with hyphal growth, mycelia development, or other processes underlying cellular morphogenesis and virulence. Furthermore, the genes from the JmjC-SET, TPR-SET, and SET5/6 related filamentous fungal genes encode fungal functions specific for the entire filamentous group, while the cluster of five-related genes present in M. grisea, but not in N. crassa, might be associated with life as a pathogen. Whether the M. grisea-specific SET-domain cluster is related to its pathogenicity is unknown. Variations in the JmjC-SET and the TPR-SET gene numbers in particular genomes (Fig. 3) are, most likely, due to species-specific deletion/duplication events. Whether these differences in copy numbers are linked with the pathogenicity of the species has not been demonstrated.
We note also the phylogenetic relationship between the filamentous fungi-specific TPR-SET and SET5/6 related proteins, and the Saccharomycotina-specific SET5 and SET6 proteins (Fig. 1). It illustrates the divergent evolutionary paths of a common ancestor at the separation of the two Ascomycota subgroups. Similarly, the phylogenetically related SET domains of the JmjC-SET and SET3/SET4 subgroups suggest that they result from subphylum-specific divergence of a shared ancestor. The SET3-lineages has been conserved throughout the evolution and its duplication in S. cerevisiae and C. glabrata has produced SET4, while duplication in the filamentous group has produced the JmjC-SET cluster (Fig. 2c).
SET-domaingenes found exclusively in multicellular organisms
SET-domain genes of multicellular organisms not found in any unicellular fungi may be involved in multicellular, rather than in 'core' functions. Members of the ASH1, the G9A subfamilies, and of the E(z) family are such candidates.
In contrast to the 'core' function encoded by SET2, the ASH1-related copy found in the filamentous fungi has relatives only in multicellular organisms. The descendants of the ancestral ASH1 lineage in extant animal and plant genomes has evolved further by acquiring additional structural motifs. This process could be linked with the evolution of more complex morphology and communication systems operating in the higher multicellular systems.
No paralogues of the E(z) genes have been recognized in the genomes of unicellular yeasts suggesting a later occurrence in the evolution. The structure of the E(z)-type SET-domain peptide may illustrate a discrete step in the evolution of the SET-domain protein structure/function. A Zn-finger involved in substrate specificity of histone methyltransferases  is formed by the Cys in the consensus NHXC sequence and the post-SET domain motif (CxCxxxxC) conserved in a subset of SET-domain proteins. Loss of this structure is, most likely, a secondary event triggered by a single substitution of the C in the NHXC box leading to the loss of the post-SET domain and subsequent divergence of the biochemical specificity.
Occurrence of E(z) might be linked with the transition to multicellularity, as suggested by the lack of K27 marks and E(z) genes from the unicellular yeasts, Dictyostelium, and Chlamydomonas. However, abundant H3K27me marks were found in Tetrahymena , suggesting that H3K27me marks have evolved for species-specific needs as well. It will be very informative to establish the roles of the E(z) genes in Tetrahymena, particularly in view of the ability of animals and plant E(z) paralogues to assemble specific Polycomb-group complexes [87–90]. Furthermore, H3K27me and H3K4me marks establish a bivalent chromatin state at the nucleosomes of developmentally regulated genes in animal stem cells  and in Arabidopsis , defining them as histone marks for differentiation processes.
Particularly important is the presence of conserved peptide domains related to the SANT-domain family, present in the E(z) proteins of animal and plant origins. Furthermore, in the reconstructed phylogeny based solely on SET-domain sequences, the E(z) animal and plant proteins cluster together with very high bootstrap values (99%). The conserved structure suggests that the last shared ancestor for the E(z)-lineage carrying these domains has existed before the divergence of the animal and plant genes. This putative ancestor has either originated after the separation of the fungal lineage, or has been deleted in the fungal ancestor. A similar pattern was noted for the evolution of the TRX genes, suggesting that the PcG/TrxG mechanism has been evolutionarily conserved in the animal and plant kingdoms but not in the fungal kingdom.
Origin of the 'orphan' SET-domaingenes in the filamentous fungi
Recent large-scale comparison of sequence data has found over 40 N. crassa genes with no identifiable S. cerevisiae homologues . It was suggested that these "orphan" genes might have resulted from either loss of related genes from the S. cerevisiae lineage, from horizontal gene transfer into the N. crassa lineage, from newly generated 'innovative' genes, or from exceptional gene-divergence in S. cerevisiae . Our analysis is congruent with processes of deletion from the Saccharomycotina genomes and with the assembly of novel genes in the filamentous fungi, as credible fates for the evolution of orphan SET-domain genes.
The SET9, SET-MYND, and Su(ver)3-9 genes appear to have been lost from the Saccharomycotina genomes or from the lineage leading to the Saccharomycotina. Supporting evidence comes from the finding of highly conserved sequences for each of these three genes in Rhizopus orizae, which is an outgroup to Ascomycota and a member of the basal group, Zygomycetes. Existence of the orthologous protein candidates in the R. orizae genome (RO3G_14129: 48% identical and 66% similar to S. pombe's SET9, RO3G_13695: 25% identical and 41% similar to S. pombe's MYND-SET, and RO3G_16553: 43% identical and 59% similar to S. pombe's Su(ver)3-9) suggests that ancestors of these genes have existed before the divergence of the Ascomycetes, and subsequently have been lost from the Saccharomycotina. The yeast SET9-gene lineage has been lost even later, after the divergence from Y. lipolytica.
An interesting feature in the evolution of the Su(var)3-9 gene is the presence of the chromodomain in animal and S. pombe proteins. Because a chromodomain is absent from the proteins of the filamentous fungi and plants, it was suggested that the ancestral form, before the divergence of animal and fungal lineages, has carried the combination of the two motifs but the chromodomain has been lost from the filamentous fungi after their separation from the fission yeast . However, absence of a chromodomain in the Su(var)3-9 orthologue in R. orizae and in Ustillago (a member of the sister group Basidomycetes) suggests an alternative scenario: the ancient fungal Su(var)3-9 lineage did not have a chromodomain and acquisition of chromodomain encoding sequences by the S. pombe and animal Su(var)3-9 genes were two independent events. Su(var)3-9-related genes have remarkably proliferated in Arabidopsis, but no plant homologue carries a chromodomain.
Homologues of E(z), SET2(ASH1)-like, G9a-like, JmjC-SET, and TPR-SET genes were not found in the R. orizae genome. It is plausible that these genes have occurred in the Pezizomycotina, required by multicellularity-related functions. The mechanism of genetic innovation in the filamentous lineage is unclear. Predicted trends underlying the occurrence of novel proteins may include evolution of new protein architecture from preexisting domains (including reshuffling of existing domains) and/or expansion of particular domain families by series of duplications, followed by specialization, to meet the specific needs of a species. It is clear that the JmjC-SET and TPR-SET genes have been retained in the Pezizomycetes for uniquely fungal processes, while the E(z), SET2 (ASH1), and G9a-lineages have been inherited in the animal and plant ancestors, where they have evolved further (Fig. 2).
The limited number of animal and plant SET-domain genes included here represent descendants of lineages found in the unicellular fungal group (SET1, SET2, SET3, Su(var)4-20, Su(var)3-9, and MYND-SET) and of lineages found in the filamentous group (ASH1, G9a, and E(z)). Distinct subgroups, shared by animals and plants, have evolved within the larger families existing in the fungi (i.e., Trithorax, E(z)), as well as plant- or animal-kingdom specific lineages [21, 93–95]. Furthermore, some animal-specific SET-domain families (SET8) are distributed throughout metazoan genomes, while others (SET7) are found only in vertebrates.
The phylogenetic analysis allowed us to trace clear distinctions between species-, subphylum-, and kingdom-specific SET domains, as well as to recognize factors involved in core-cellular roles versus those likely to be associated with multicellular requirements. Surprisingly, the collection of SET-domain genes within yeast did not appear critical for differences in lifestyles, abilities to morph, sexual mechanisms, and pathogenicity of hemiascomycetes. However, SET4, SET5, and SET6 encode Saccharomycotina-specific functions and appearance of SET4 parallels the genome duplication of Saccharomycetes believed to be important for their fermentative abilities . SET-domain genes found in the filamentous species, but absent from the unicellular sister group, reflect two evolutionary events: deletion from the yeasts genomes (SET9, MYND-SET, and Su(var)3-9) and appearance of novel structures. The latter group involves genes (JmjC-SET and TPR-SET) originating for the subphylum Pezizomycetes-specific roles and genes apparently connected with the occurrence of multicellularity; descendants of these genes are found also in animal and plant genomes (E(z), SET2(ASH1), and G9a). There is no Ascomycota-specific SET-domain family or gene (present in fungal genomes but absent from animals and plants), while there are families found exclusively in plant and animal genomes, as well as plant-specific or animal-specific subgroups. Animal and plant SET-domain genes are ancestrally related with complex fungal proteins with diverse modular elements. A combinatorial assembly of various peptide domains generates enormous possibilities for variation and precision required for functioning and adaptation of multicellular organisms.
The SET-domain sequences were searched from fourteen complete genomes listed in Additional file 1. Twenty-four SET-domain sequences used as queries were collected from various sources, as listed in Additional file 6.
SET-domain protein mining
Four search methods were used to mine new SET-domain proteins from the fourteen genomes: BLAST protein similarity searches were conducted by BLASTP  using the 24 SET-domain sequences as the queries against the non-redundant database available at National Center for Biotechnology Information (NCBI) with the default settings. To find similar protein regions from unannotated genomic regions, TBLASTN  was used to perform similarity searches against nucleotide sequences of the fourteen genomes translated in all six frames. More sensitive searches were performed using the position specific iteration BLAST (PSI-BLAST) . Each query was used against individual genomes with the inclusion E-value threshold of 0.001 and four search iterations.
Profile hidden Markov model searches
Profile hidden Markov models (HMMs), probabilistic models of multiple sequence alignments, were built and used to search for sequences with remote similarities . Using the sequences obtained from the BLAST searches and the query sequences, we selected 27 well-aligned sequences (see Additional file 7). A profile HMM was built using these sequences with the Sequence Alignment and Modeling System (SAM) [99, 100]. Two programs of the SAM package were used: buildmodel for building the profile HMMs and hmmscore (with -sw 2 and-calibrate 1 options) for searching similar protein sequences from the genomes. The searches were conducted in each genome individually. The resulting hits from each organism were analyzed for the presence of the SET-domain and previously unidentified sequences were collected. We did not use a strict E-value threshold. Rather each hit within the default E-value threshold (10) was examined one by one for the existence of the SET-domain.
After these similarity searches, 214 non-redundant hits were compiled from the twelve genomes (data not shown). Each of these 214 sequences was examined to confirm the presence of the SET domain by searching the Conserved Domain Database (CDD) available from NCBI , as well as the Simple Modular Architecture Research Tool (SMART) database [102, 103]. Some dubious hits including too highly diverged sequences and those with very short SET-domain-like sequences were removed. Three fungal SET-MYND sequences (EAA36113, XP_381344, and XP_360530; see Additional file 2) were further used to search more SET-MYND sequences from fungal genomes using BLAST. After these analyses, we obtained 182 non-redundant SET-domain sequences. These sequences were used in our further analyses.
Multiple alignments of SET-domain sequences
CLUSTALX (version 1.83)  was used to generate multiple alignments of SET-domain sequences (with the GONNET series protein weight matrices and gap opening penalty = 10 and gap extension penalty = .20). Due to the highly variable length of the SET-I region, poorly conserved sites across the sequences were removed. Some other highly variable positions were also removed and the alignments were adjusted manually (see Additional file 8).
A draft phylogeny was reconstructed using all of the 182 SET-domain sequences found in this study using the maximum likelihood method implemented in PHYML (version 2.4.4) . This draft phylogeny (see Additional file 2) was used in the further analyses. Protein domain architectures for each protein group are shown in Additional file 3. In order to produce a more reliable multiple alignment and phylogenies, we reduced the number of sequences by choosing representative SET-domain sequences using the draft phylogeny as a guide tree. Poorly aligned sequences and those not clustering clearly with any known major SET-domain families were removed. All fungal sequences were retained, while only one each representative hit from plants and animals was chosen from each SET-domain cluster of SET1, SET2, Su(var)3-9, and E(z). The selected representative sequences are indicated in the phylogeny in red in Additional file 2. The final multiple alignment including 113 sequences is shown in Additional file 5. Phylogenetic reconstruction was done using the maximum likelihood method (implemented in PHYML version 2.4.4) and the maximum parsimony method (implemented in PHYLIP version 3.65). The neighbor-joining method was not used because the estimated distance matrix using the JTT substitution model (implemented in PHYLIP 3.65 ) generated estimation errors due to too many substitutions. For the maximum likelihood method, two sets of trees were reconstructed: one with no invariable site and a constant substitution rate among sites, and the other with the proportion of invariable sites and the gamma shape parameter estimated from the data. Reconstructed phylogenies were largely consistent. In our further analysis, we used the maximum likelihood phylogeny using the estimated proportion of invariable sites and gamma shape parameter. For the maximum parsimony method, the input sequence order was jumbled 10 times (see Additional file 9). Phylogenetic confidence was estimated by the bootstrap analysis  with 500 pseudoreplicates for all phylogenetic analysis.
The authors are enormously indebted to Drs. A. Atkin and K. Nickerson (UNL) for the critical reading of the manuscript and helpful suggestions. The work was partially supported by an REU/NSF grant (0553630) to ZA.
- Alvarez-Venegas R, Sadder M, Tikhonov A, Avramova Z: Origin of the Bacterial SET Domain Genes: Vertical or Horizontal?. Mol Biol Evol. 2007, 24: 482-497.PubMedGoogle Scholar
- Rea S, Eisenhaber F, O'Carroll D, Strahl BD, Sun ZW, Schmid M, Opravil S, Mechtler K, Ponting CP, Allis CD, Jenuwein T: Regulation of chromatin structure by site-specific histone H3 methyltransferases. Nature. 2000, 406: 593-599.PubMedGoogle Scholar
- Jenuwein T, Allis CD: Translating the Histone Code. Science. 2001, 298: 1074-Google Scholar
- Kouzarides T: Chromatin modifications and their function. Cell. 2007, 128: 693-705.PubMedGoogle Scholar
- Garcia BA, Hake SB, Diaz RL, Kauer M, Morris SA, Recht J, Shabanowitz J, Mishra N, Strahl BD, Allis CD, Hunt DF: Organismal differences in post-translational modifications in histones H3 and H4. J Biol Chem. 2007, 282: 7641-7655.PubMedGoogle Scholar
- Morris SA, Rao B, Garcia BA, Hake SB, Diaz RL, Shabanowitz J, Hunt DF, Allis CD, Lieb JD, Strahl BD: Identification of histone H3 lysine 36 acetylation as a highly conserved histone modification. J Biol Chem. 2007, 282: 7632-7640.PubMed CentralPubMedGoogle Scholar
- Issaeva I, Zonis Y, Rozovskaia T, Orlovsky K, Croce CM, Nakamura T, Mazo A, Eisenbach L, Canaani E: Knockdown of ALR (MLL2) reveals ALR target genes and leads to alterations in cell adhesion and growth. Mol Cell Biol. 2007, 27: 1889-1903.PubMed CentralPubMedGoogle Scholar
- Sparmann A, van Lohuizen M: Polycomb silencers control cell fate, development and cancer. Nat Rev Cancer. 2006, 6: 846-856.PubMedGoogle Scholar
- Ebert A, Schotta G, Lein S, Kubicek S, Krauss V, Jenuwein T, Reuter G: Su(var) genes regulate the balance between euchromatin and heterochromatin in Drosophila. Genes Dev. 2004, 18: 2973-2983.PubMed CentralPubMedGoogle Scholar
- Ng RK, Gurdon JB: Epigenetic inheritance of cell differentiation status. Cell Cycle. 2008, 7: 1173-7.PubMedGoogle Scholar
- Hadnagy A, Beaulieu R, Balicki D: Histone tail modifications and noncanonical functions of histones: perspectives in cancer epigenetics. Mol Cancer Ther. 2008, 7: 740-748.PubMedGoogle Scholar
- Fitzpatrick DA, Logue ME, Stajich JE, Butler G: A fungal phylogeny based on 42 complete genomes derived from supertree and combined gene analysis. BMC Evol Biol. 2006, 6: 99-PubMed CentralPubMedGoogle Scholar
- Liu YJ, Hodson MC, Hall BD: Loss of the flagellum happened only once in the fungal lineage: phylogenetic structure of kingdom Fungi inferred from RNA polymerase II subunit genes. BMC Evol Biol. 2006, 6: 74-PubMed CentralPubMedGoogle Scholar
- Berbee ML, Taylor JW: Detecting morphological convergence in true fungi, using 18S rRNA gene sequence data. Biosystems. 1992, 28: 117-125.PubMedGoogle Scholar
- Prillinger H, Lopandic K, Schweigkofler W, Deak R, Aarts HJ, Bauer R, Sterflinger K, Kraus GF, Maraz A: Phylogeny and systematics of the fungi with special reference to the Ascomycota and Basidiomycota. Chem Immunol. 2002, 81: 207-295.PubMedGoogle Scholar
- Braun EL, Halpern AL, Nelson MA, Natvig DO: Large-scale comparison of fungal sequence information: mechanisms of innovation in Neurospora crassa and gene loss in Saccharomyces cerevisiae. Genome Res. 2000, 10: 416-430.PubMedGoogle Scholar
- Borkovich KA, Alex LA, Yarden O, Freitag M, Turner GE, Read ND, Seiler S, Bell-Pedersen D, Paietta J, Plesofsky N, Plamann M, Goodrich-Tanrikulu M, Schulte U, Mannhaupt G, Nargang FE, Radford A, Selitrennikoff C, Galagan JE, Dunlap JC, Loros JJ, Catcheside D, Inoue H, Aramayo R, Polymenis M, Selker EU, Sachs MS, Marzluf GA, Paulsen I, Davis R, Ebbole DJ, Zelter A, Kalkman ER, O'Rourke R, Bowring F, Yeadon J, Ishii C, Suzuki K, Sakai W, Pratt R: Lessons from the genome sequence of Neurospora crassa: tracing the path from genomic blueprint to multicellular organism. Microbiol Mol Biol Rev. 2004, 68: 1-108.PubMed CentralPubMedGoogle Scholar
- Stassen MJ, Bailey D, Nelson S, Chinwalla V, Harte PJ: The Drosophila trithorax proteins contain a novel variant of the nuclear receptor type DNA binding domain and an ancient conserved motif found in other chromosomal proteins. Mech Dev. 1995, 52: 209-223.PubMedGoogle Scholar
- Porras-Yakushi TR, Whitelegge JP, Clarke S: A novel SET domain methyltransferase in yeast: Rkm2-dependent trimethylation of ribosomal protein L12ab at lysine 10. J Biol Chem. 2006, 281: 35835-35845.PubMedGoogle Scholar
- Kouzarides T: Histone methylation in transcriptional control. Curr Opin Genet Dev. 2002, 12: 198-209.PubMedGoogle Scholar
- Baumbusch LO, Thorstensen T, Krauss V, Fischer A, Naumann K, Assalkhou R, Schulz I, Reuter G, Aalen RB: The Arabidopsis thaliana genome contains at least 29 active genes encoding SET domain proteins that can be assigned to four evolutionarily conserved classes. Nucleic Acids Res. 2001, 29: 4319-4333.PubMed CentralPubMedGoogle Scholar
- Wood V, Gwilliam R, Rajandream MA, Lyne M, Lyne R, Stewart A, Sgouros J, Peat N, Hayles J, Baker S, Basham D, Bowman S, Brooks K, Brown D, Brown S, Chillingworth T, Churcher C, Collins M, Connor R, Cronin A, Davis P, Feltwell T, Fraser A, Gentles S, Goble A, Hamlin N, Harris D, Hidalgo J, Hodgson G, Holroyd S, Hornsby T, Howarth S, Huckle EJ, Hunt S, Jagels K, James K, Jones L, Jones M, Leather S, McDonald S, McLean J, Mooney P, Moule S, Mungall K, Murphy L, Niblett D, Odell C, Oliver K, O'Neil S, Pearson D, Quail MA, Rabbinowitsch E, Rutherford K, Rutter S, Saunders D, Seeger K, Sharp S, Skelton J, Simmonds M, Squares R, Squares S, Stevens K, Taylor K, Taylor RG, Tivey A, Walsh S, Warren T, Whitehead S, Woodward J, Volckaert G, Aert R, Robben J, Grymonprez B, Weltjens I, Vanstreels E, Rieger M, Schafer M, Muller-Auer S, Gabel C, Fuchs M, Dusterhoft A, Fritzc C, Holzer E, Moestl D, Hilbert H, Borzym K, Langer I, Beck A, Lehrach H, Reinhardt R, Pohl TM, Eger P, Zimmermann W, Wedler H, Wambutt R, Purnelle B, Goffeau A, Cadieu E, Dreano S, Gloux S, Lelaure V, Mottier S, Galibert F, Aves SJ, Xiang Z, Hunt C, Moore K, Hurst SM, Lucas M, Rochet M, Gaillardin C, Tallada VA, Garzon A, Thode G, Daga RR, Cruzado L, Jimenez J, Sanchez M, del Rey F, Benito J, Dominguez A, Revuelta JL, Moreno S, Armstrong J, Forsburg SL, Cerutti L, Lowe T, McCombie WR, Paulsen I, Potashkin J, Shpakovski GV, Ussery D, Barrell BG, Nurse P: The genome sequence of Schizosaccharomyces pombe. Nature. 2002, 415: 871-880.PubMedGoogle Scholar
- Dujon B, Sherman D, Fischer G, Durrens P, Casaregola S, Lafontaine I, De Montigny J, Marck C, Neuveglise C, Talla E, Goffard N, Frangeul L, Aigle M, Anthouard V, Babour A, Barbe V, Barnay S, Blanchin S, Beckerich JM, Beyne E, Bleykasten C, Boisrame A, Boyer J, Cattolico L, Confanioleri F, De Daruvar A, Despons L, Fabre E, Fairhead C, Ferry-Dumazet H, Groppi A, Hantraye F, Hennequin C, Jauniaux N, Joyet P, Kachouri R, Kerrest A, Koszul R, Lemaire M, Lesur I, Ma L, Muller H, Nicaud JM, Nikolski M, Oztas S, Ozier-Kalogeropoulos O, Pellenz S, Potier S, Richard GF, Straub ML, Suleau A, Swennen D, Tekaia F, Wesolowski-Louvel M, Westhof E, Wirth B, Zeniou-Meyer M, Zivanovic I, Bolotin-Fukuhara M, Thierry A, Bouchier C, Caudron B, Scarpelli C, Gaillardin C, Weissenbach J, Wincker P, Souciet JL: Genome evolution in yeasts. Nature. 2004, 430: 35-44.PubMedGoogle Scholar
- Cliften PF, Fulton RS, Wilson RK, Johnston M: After the duplication: gene loss and adaptation in Saccharomyces genomes. Genetics. 2006, 172: 863-872.PubMed CentralPubMedGoogle Scholar
- Roguev A, Schaft D, Shevchenko A, Aasland R, Stewart AF: High conservation of the Set1/Rad6 axis of histone 3 lysine 4 methylation in budding and fission yeasts. J Biol Chem. 2003, 278: 8487-8493.PubMedGoogle Scholar
- Roguev A, Schaft D, Shevchenko A, Pijnappel WW, Wilm M, Aasland R, Stewart AF: The Saccharomyces cerevisiae Set1 complex includes an Ash2 homologue and methylates histone 3 lysine 4. Embo J. 2001, 20: 7137-7148.PubMed CentralPubMedGoogle Scholar
- Fingerman IM, Wu CL, Wilson BD, Briggs SD: Global loss of Set1-mediated H3 Lys4 trimethylation is associated with silencing defects in Saccharomyces cerevisiae. J Biol Chem. 2005, 280: 28761-28765.PubMed CentralPubMedGoogle Scholar
- Schlichter A, Cairns BR: Histone trimethylation by Set1 is coordinated by the RRM, autoinhibitory, and catalytic domains. Embo J. 2005, 24: 1222-1231.PubMed CentralPubMedGoogle Scholar
- Dehé PM, Géli V: The multiple faces of Set1. Biochem Cell Biol. 2006, 84: 536-548.PubMedGoogle Scholar
- Trésaugues L, Dehé PM, Guérois R, Rodriguez-Gil A, Varlet I, Salah P, Pamblanco M, Luciano P, Quevillon-Cheruel S, Sollier J, Leulliot N, Couprie J, Tordera V, Zinn-Justin S, Chavez S, van Tilbeurgh H, Géli V: Structural characterization of Set1 RNA recognition motifs and their role in histone H3 lysine 4 methylation. J Mol Biol. 2006, 359: 1170-1181.PubMedGoogle Scholar
- Alvarez-Venegas R, Avramova Z: Two Arabidopsis homologs of the animal trithorax genes: a new structural domain is a signature feature of the trithorax gene family. Gene. 2001, 271: 215-221.PubMedGoogle Scholar
- Ruthenburg AJ, Allis CD, Wysocka J: Methylation of lysine 4 on histone H3: intricacy of writing and reading a single epigenetic mark. Mol Cell. 2007, 25: 15-30.PubMedGoogle Scholar
- Santos-Rosa H, Schneider R, Bannister AJ, Sherriff J, Bernstein BE, Emre NC, Schreiber SL, Mellor J, Kouzarides T: Active genes are tri-methylated at K4 of histone H3. Nature. 2002, 419: 407-411.PubMedGoogle Scholar
- Alvarez-Venegas R, Avramova Z: SET-domain proteins of the Su(var)3-9, E(z) and trithorax families. Gene. 2002, 285: 25-37.PubMedGoogle Scholar
- Strahl BD, Grant PA, Briggs SD, Sun ZW, Bone JR, Caldwell JA, Mollah S, Cook RG, Shabanowitz J, Hunt DF, Allis CD: Set2 is a nucleosomal histone H3-selective methyltransferase that mediates transcriptional repression. Mol Cell Biol. 2002, 22: 1298-1306.PubMed CentralPubMedGoogle Scholar
- Li J, Moazed D, Gygi SP: Association of the histone methyltransferase Set2 with RNA polymerase II plays a role in transcription elongation. J Biol Chem. 2002, 277: 49383-49388.PubMedGoogle Scholar
- Adhvaryu KK, Morris SA, Strahl BD, Selker EU: Methylation of histone H3 lysine 36 is required for normal development in Neurospora crassa. Eukaryot Cell. 2005, 4: 1455-1464.PubMed CentralPubMedGoogle Scholar
- Beisel C, Imhof A, Greene J, Kremmer E, Sauer F: Histone methylation by the Drosophila epigenetic transcriptional regulator Ash1. Nature. 2002, 419: 857-862.PubMedGoogle Scholar
- Pijnappel WW, Schaft D, Roguev A, Shevchenko A, Tekotte H, Wilm M, Rigaut G, Seraphin B, Aasland R, Stewart AF: The S. cerevisiae SET3 complex includes two histone deacetylases, Hos2 and Hst1, and is a meiotic-specific repressor of the sporulation gene program. Genes Dev. 2001, 15: 2991-3004.PubMed CentralPubMedGoogle Scholar
- Springer NM, Napoli CA, Selinger DA, Pandey R, Cone KC, Chandler VL, Kaeppler HF, Kaeppler SM: Comparative analysis of SET domain proteins in maize and Arabidopsis reveals multiple duplications preceding the divergence of monocots and dicots. Plant Physiol. 2003, 132: 907-925.PubMed CentralPubMedGoogle Scholar
- Raynaud C, Sozzani R, Glab N, Domenichini S, Perennes C, Cella R, Kondorosi E, Bergounioux C: Two cell-cycle regulated SET-domain proteins interact with proliferating cell nuclear antigen (PCNA) in Arabidopsis. Plant J. 2006, 47: 395-407.PubMedGoogle Scholar
- Kellis M, Birren BW, Lander ES: Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae. Nature. 2004, 428: 617-624.PubMedGoogle Scholar
- Whetstine JR, Nottke A, Lan F, Huarte M, Smolikov S, Chen Z, Spooner E, Li E, Zhang G, Colaiacovo M, Shi Y: Reversal of histone lysine trimethylation by the JMJD2 family of histone demethylases. Cell. 2006, 125: 467-481.PubMedGoogle Scholar
- Chen Z, Zang J, Whetstine J, Hong X, Davrazou F, Kutateladze TG, Simpson M, Mao Q, Pan CH, Dai S, Hagman J, Hansen K, Shi Y, Zhang G: Structural insights into histone demethylation by JMJD2 family members. Cell. 2006, 125: 691-702.PubMedGoogle Scholar
- Huarte M, Lan F, Kim T, Vaughn MW, Zaratiegui M, Martienssen RA, Buratowski S, Shi Y: The fission yeast Jmj2 reverses histone H3 Lysine 4 trimethylation. J Biol Chem. 2007, 282: 21662-21670.PubMedGoogle Scholar
- Collins SR, Miller KM, Maas NL, Roguev A, Fillingham J, Chu CS, Schuldiner M, Gebbia M, Recht J, Shales M, Ding H, Xu H, Han J, Ingvarsdottir K, Cheng B, Andrews B, Boone C, Berger SL, Hieter P, Zhang Z, Brown GW, Ingles CJ, Emili A, Allis CD, Toczyski DP, Weissman JS, Greenblatt JF, Krogan NJ: Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map. Nature. 2007, 446: 806-810.PubMedGoogle Scholar
- D'Andrea LD, Regan L: TPR proteins: the versatile helix. Trends Biochem Sci. 2003, 28: 655-662.PubMedGoogle Scholar
- Hamamoto R, Furukawa Y, Morita M, Iimura Y, Silva FP, Li M, Yagyu R, Nakamura Y: SMYD3 encodes a histone methyltransferase involved in the proliferation of cancer cells. Nat Cell Biol. 2004, 6: 731-740.PubMedGoogle Scholar
- Brown MA, Sims RJ, Gottlieb PD, Tucker PW: Identification and characterization of Smyd2: a split SET/MYND domain-containing histone H3 lysine 36-specific methyltransferase that interacts with the Sin3 histone deacetylase complex. Mol Cancer. 2006, 5: 26-PubMed CentralPubMedGoogle Scholar
- Krauss V, Fassl A, Fiebig P, Patties I, Sass H: The evolution of the histone methyltransferase gene Su(var)3-9 in metazoans includes a fusion with and a re-fission from a functionally unrelated gene. BMC Evol Biol. 2006, 6: 18-PubMed CentralPubMedGoogle Scholar
- Zhang X, Yang Z, Khan SI, Horton JR, Tamaru H, Selker EU, Cheng X: Structural basis for the product specificity of histone lysine methyltransferases. Mol Cell. 2003, 12: 177-185.PubMed CentralPubMedGoogle Scholar
- Bannister AJ, Zegerman P, Partridge JF, Miska EA, Thomas JO, Allshire RC, Kouzarides T: Selective recognition of methylated lysine 9 on histone H3 by the HP1 chromo domain. Nature. 2001, 410: 120-124.PubMedGoogle Scholar
- Thon G, Hansen KR, Altes SP, Sidhu D, Singh G, Verhein-Hansen J, Bonaduce MJ, Klar AJ: The Clr7 and Clr8 directionality factors and the Pcu4 cullin mediate heterochromatin formation in the fission yeast Schizosaccharomyces pombe. Genetics. 2005, 171: 1583-1595.PubMed CentralPubMedGoogle Scholar
- Tamaru H, Zhang X, McMillen D, Singh PB, Nakayama J, Grewal SI, Allis CD, Cheng X, Selker EU: Trimethylated lysine 9 of histone H3 is a mark for DNA methylation in Neurospora crassa. Nat Genet. 2003, 34: 75-79.PubMedGoogle Scholar
- Freitag M, Hickey PC, Khlafallah TK, Read ND, Selker EU: HP1 is essential for DNA methylation in neurospora. Mol Cell. 2004, 13: 427-434.PubMedGoogle Scholar
- Tachibana M, Sugimoto K, Nozaki M, Ueda J, Ohta T, Ohki M, Fukuda M, Takeda N, Niida H, Kato H, Shinkai Y: G9a histone methyltransferase plays a dominant role in euchromatic histone H3 lysine 9 methylation and is essential for early embryogenesis. Genes Dev. 2002, 16: 1779-1791.PubMed CentralPubMedGoogle Scholar
- Lindroth AM, Shultis D, Jasencakova Z, Fuchs J, Johnson L, Schubert D, Patnaik D, Pradhan S, Goodrich J, Schubert I, Jenuwein T, Khorasanizadeh S, Jacobsen SE: Dual histone H3 methylation marks at lysines 9 and 27 required for interaction with CHROMOMETHYLASE3. Embo J. 2004, 23: 4286-4296.PubMedGoogle Scholar
- Ebbs ML, Bender J: Locus-specific control of DNA methylation by the Arabidopsis SUVH5 histone methyltransferase. Plant Cell. 2006, 18: 1166-1176.PubMed CentralPubMedGoogle Scholar
- Johnson LM, Bostick M, Zhang X, Kraft E, Henderson I, Callis J, Jacobsen SE: The SRA methyl-cytosine-binding domain links DNA and histone methylation. Curr Biol. 2007, 17: 379-384.PubMed CentralPubMedGoogle Scholar
- Sarg B, Helliger W, Talasz H, Koutzamani E, Lindner HH: Histone H4 hyperacetylation precludes histone H4 lysine 20 trimethylation. J Biol Chem. 2004, 279: 53458-53464.PubMedGoogle Scholar
- Schotta G, Lachner M, Sarma K, Ebert A, Sengupta R, Reuter G, Reinberg D, Jenuwein T: A silencing pathway to induce H3-K9 and H4-K20 trimethylation at constitutive heterochromatin. Genes Dev. 2004, 18: 1251-1262.PubMed CentralPubMedGoogle Scholar
- Du LL, Nakamura TM, Russell P: Histone modification-dependent and -independent pathways for recruitment of checkpoint protein Crb2 to double-strand breaks. Genes Dev. 2006, 20: 1583-1596.PubMed CentralPubMedGoogle Scholar
- Dillon SC, Zhang X, Trievel RC, Cheng X: The SET-domain protein superfamily: protein lysine methyltransferases. Genome Biol. 2005, 6: 227-PubMed CentralPubMedGoogle Scholar
- Cao R, Wang L, Wang H, Xia L, Erdjument-Bromage H, Tempst P, Jones RS, Zhang Y: Role of histone H3 lysine 27 methylation in Polycomb-group silencing. Science. 2002, 298: 1039-1043.PubMedGoogle Scholar
- Hedges SB, Blair JE, Venturi ML, Shoe JL: A molecular timescale of eukaryote evolution and the rise of complex multicellular life. BMC Evol Biol. 2004, 4: 2-PubMed CentralPubMedGoogle Scholar
- Aravind L, Subramanian G: Origin of multicellular eukaryotes - insights from proteome comparisons. Curr Opin Genet Dev. 1999, 9: 688-694.PubMedGoogle Scholar
- Fabre E, Muller H, Therizols P, Lafontaine I, Dujon B, Fairhead C: Comparative genomics in hemiascomycete yeasts: evolution of sex, silencing, and subtelomeres. Mol Biol Evol. 2005, 22: 856-873.PubMedGoogle Scholar
- Dietrich FS, Voegeli S, Brachat S, Lerch A, Gates K, Steiner S, Mohr C, Pohlmann R, Luedi P, Choi S, Wing RA, Flavier A, Gaffney TD, Philippsen P: The Ashbya gossypii genome as a tool for mapping the ancient Saccharomyces cerevisiae genome. Science. 2004, 304: 304-307.PubMedGoogle Scholar
- Philippsen P, Kaufmann A, Schmitz HP: Homologues of yeast polarity genes control the development of multinucleated hyphae in Ashbya gossypii. Curr Opin Microbiol. 2005, 8: 370-377.PubMedGoogle Scholar
- Jones T, Federspiel NA, Chibana H, Dungan J, Kalman S, Magee BB, Newport G, Thorstenson YR, Agabian N, Magee PT, Davis RW, Scherer S: The diploid genome sequence of Candida albicans. Proc Natl Acad Sci U S A. 2004, 101: 7329-7334.PubMed CentralPubMedGoogle Scholar
- Bennett RJ, Johnson AD: Mating in Candida albicans and the search for a sexual cycle. Annu Rev Microbiol. 2005, 59: 233-255.PubMedGoogle Scholar
- Dumitru R, Navarathna DH, Semighini CP, Elowsky CG, Dumitru RV, Dignard D, Whiteway M, Atkin AL, Nickerson KW: In vivo and in vitro anaerobic mating in Candida albicans. Eukaryot Cell. 2007, 6: 465-472.PubMed CentralPubMedGoogle Scholar
- Srikantha T, Lachke SA, Soll DR: Three mating type-like loci in Candida glabrata. Eukaryot Cell. 2003, 2: 328-340.PubMed CentralPubMedGoogle Scholar
- Wolfe KH, Shields DC: Molecular evidence for an ancient duplication of the entire yeast genome. Nature. 1997, 387: 708-713.PubMedGoogle Scholar
- Sims RJ, Nishioka K, Reinberg D: Histone lysine methylation: a signature for chromatin function. Trends Genet. 2003, 19: 629-639.PubMedGoogle Scholar
- Rusche LN, Kirchmaier AL, Rine J: The establishment, inheritance, and function of silenced chromatin in Saccharomyces cerevisiae. Annu Rev Biochem. 2003, 72: 481-516.PubMedGoogle Scholar
- Bernstein BE, Humphrey EL, Erlich RL, Schneider R, Bouman P, Liu JS, Kouzarides T, Schreiber SL: Methylation of histone H3 Lys 4 in coding regions of active genes. Proc Natl Acad Sci U S A. 2002, 99: 8695-8700.PubMed CentralPubMedGoogle Scholar
- Briggs SD, Bryk M, Strahl BD, Cheung WL, Davie JK, Dent SY, Winston F, Allis CD: Histone H3 lysine 4 methylation is mediated by Set1 and required for cell growth and rDNA silencing in Saccharomyces cerevisiae. Genes Dev. 2001, 15: 3286-3295.PubMed CentralPubMedGoogle Scholar
- Alvarez-Venegas R, Avramova Z: Methylation patterns of histone H3 Lys 4, Lys 9 and Lys 27 in transcriptionally active and inactive Arabidopsis genes and in atx1 mutants. Nucleic Acids Res. 2005, 33: 5199-5207.PubMed CentralPubMedGoogle Scholar
- Galagan JE, Calvo SE, Borkovich KA, Selker EU, Read ND, Jaffe D, FitzHugh W, Ma LJ, Smirnov S, Purcell S, Rehman B, Elkins T, Engels R, Wang S, Nielsen CB, Butler J, Endrizzi M, Qui D, Ianakiev P, Bell-Pedersen D, Nelson MA, Werner-Washburne M, Selitrennikoff CP, Kinsey JA, Braun EL, Zelter A, Schulte U, Kothe GO, Jedd G, Mewes W, Staben C, Marcotte E, Greenberg D, Roy A, Foley K, Naylor J, Stange-Thomann N, Barrett R, Gnerre S, Kamal M, Kamvysselis M, Mauceli E, Bielke C, Rudd S, Frishman D, Krystofova S, Rasmussen C, Metzenberg RL, Perkins DD, Kroken S, Cogoni C, Macino G, Catcheside D, Li W, Pratt RJ, Osmani SA, DeSouza CP, Glass L, Orbach MJ, Berglund JA, Voelker R, Yarden O, Plamann M, Seiler S, Dunlap J, Radford A, Aramayo R, Natvig DO, Alex LA, Mannhaupt G, Ebbole DJ, Freitag M, Paulsen I, Sachs MS, Lander ES, Nusbaum C, Birren B: The genome sequence of the filamentous fungus Neurospora crassa. Nature. 2003, 422: 859-868.PubMedGoogle Scholar
- Gowda M, Venu RC, Raghupathy MB, Nobuta K, Li H, Wing R, Stahlberg E, Couglan S, Haudenschild CD, Dean R, Nahm BH, Meyers BC, Wang GL: Deep and comparative analysis of the mycelium and appressorium transcriptomes of Magnaporthe grisea using MPSS, RL-SAGE, and oligoarray methods. BMC Genomics. 2006, 7: 310-PubMed CentralPubMedGoogle Scholar
- Dean RA, Talbot NJ, Ebbole DJ, Farman ML, Mitchell TK, Orbach MJ, Thon M, Kulkarni R, Xu JR, Pan H, Read ND, Lee YH, Carbone I, Brown D, Oh YY, Donofrio N, Jeong JS, Soanes DM, Djonovic S, Kolomiets E, Rehmeyer C, Li W, Harding M, Kim S, Lebrun MH, Bohnert H, Coughlan S, Butler J, Calvo S, Ma LJ, Nicol R, Purcell S, Nusbaum C, Galagan JE, Birren BW: The genome sequence of the rice blast fungus Magnaporthe grisea. Nature. 2005, 434: 980-986.PubMedGoogle Scholar
- Springer ML: Genetic control of fungal differentiation: the three sporulation pathways of Neurospora crassa. Bioessays. 1993, 15: 365-374.PubMedGoogle Scholar
- Sharpless KE, Harris SD: Functional characterization and localization of the Aspergillus nidulans formin SEPA. Mol Biol Cell. 2002, 13: 469-479.PubMed CentralPubMedGoogle Scholar
- Malavazi I, Savoldi M, Di Mauro SM, Menck CF, Harris SD, Goldman MH, Goldman GH: Transcriptome analysis of Aspergillus nidulans exposed to camptothecin-induced DNA damage. Eukaryot Cell. 2006, 5: 1688-1704.PubMed CentralPubMedGoogle Scholar
- Xiao B, Wilson JR, Gamblin SJ: SET domains and histone methylation. Curr Opin Struct Biol. 2003, 13: 699-705.PubMedGoogle Scholar
- Cao R, Zhang Y: The functions of E(Z)/EZH2-mediated methylation of lysine 27 in histone H3. Curr Opin Genet Dev. 2004, 14: 155-164.PubMedGoogle Scholar
- Ringrose L, Paro R: Epigenetic regulation of cellular memory by the Polycomb and Trithorax group proteins. Annu Rev Genet. 2004, 38: 413-443.PubMedGoogle Scholar
- Levine SS, King IF, Kingston RE: Division of labor in polycomb group repression. Trends Biochem Sci. 2004, 29: 478-485.PubMedGoogle Scholar
- Schubert D, Clarenz O, Goodrich J: Epigenetic control of plant development by Polycomb-group proteins. Curr Opin Plant Biol. 2005, 8: 553-561.PubMedGoogle Scholar
- Bernstein BE, Mikkelsen TS, Xie X, Kamal M, Huebert DJ, Cuff J, Fry B, Meissner A, Wernig M, Plath K, Jaenisch R, Wagschal A, Feil R, Schreiber SL, Lander ES: A bivalent chromatin structure marks key developmental genes in embryonic stem cells. Cell. 2006, 125: 315-326.PubMedGoogle Scholar
- Saleh A, Al-Abdallat A, Ndamukong I, Alvarez-Venegas R, Avramova Z: The Arabidopsis homologs of trithorax (ATX1) and enhancer of zeste (CLF) establish 'bivalent chromatin marks' at the silent AGAMOUS locus. Nucleic Acids Res. 2007, 35: 6290-6296.PubMed CentralPubMedGoogle Scholar
- Rayasam GV, Wendling O, Angrand PO, Mark M, Niederreither K, Song L, Lerouge T, Hager GL, Chambon P, Losson R: NSD1 is essential for early post-implantation development and has a catalytically active SET domain. Embo J. 2003, 22: 3153-3163.PubMed CentralPubMedGoogle Scholar
- Rice JC, Nishioka K, Sarma K, Steward R, Reinberg D, Allis CD: Mitotic-specific methylation of histone H4 Lys 20 follows increased PR-Set7 expression and its localization to mitotic chromosomes. Genes Dev. 2002, 16: 2225-2230.PubMed CentralPubMedGoogle Scholar
- Xiao B, Jing C, Kelly G, Walker PA, Muskett FW, Frenkiel TA, Martin SR, Sarma K, Reinberg D, Gamblin SJ, Wilson JR: Specificity and mechanism of the histone methyltransferase Pr-Set7. Genes Dev. 2005, 19: 1444-1454.PubMed CentralPubMedGoogle Scholar
- Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215: 403-410.PubMedGoogle Scholar
- Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25: 3389-3402.PubMed CentralPubMedGoogle Scholar
- Eddy SR: Profile hidden Markov models. Bioinformatics. 1998, 14: 755-763.PubMedGoogle Scholar
- Krogh A, Brown M, Mian IS, Sjolander K, Haussler D: Hidden Markov models in computational biology. Applications to protein modeling. J Mol Biol. 1994, 235: 1501-1531.PubMedGoogle Scholar
- Hughey R, Krogh A: Hidden Markov models for sequence analysis: extension and analysis of the basic method. Comput Appl Biosci. 1996, 12: 95-107.PubMedGoogle Scholar
- Marchler-Bauer A, Anderson JB, Cherukuri PF, DeWeese-Scott C, Geer LY, Gwadz M, He S, Hurwitz DI, Jackson JD, Ke Z, Lanczycki CJ, Liebert CA, Liu C, Lu F, Marchler GH, Mullokandov M, Shoemaker BA, Simonyan V, Song JS, Thiessen PA, Yamashita RA, Yin JJ, Zhang D, Bryant SH: CDD: a Conserved Domain Database for protein classification. Nucleic Acids Res. 2005, 33: D192-6.PubMed CentralPubMedGoogle Scholar
- Letunic I, Copley RR, Schmidt S, Ciccarelli FD, Doerks T, Schultz J, Ponting CP, Bork P: SMART 4.0: towards genomic data integration. Nucleic Acids Res. 2004, 32: D142-4.PubMed CentralPubMedGoogle Scholar
- Schultz J, Copley RR, Doerks T, Ponting CP, Bork P: SMART: a web-based tool for the study of genetically mobile domains. Nucleic Acids Res. 2000, 28: 231-234.PubMed CentralPubMedGoogle Scholar
- Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG: The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res. 1997, 25: 4876-4882.PubMed CentralPubMedGoogle Scholar
- Guindon S, Gascuel O: A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 2003, 52: 696-704.PubMedGoogle Scholar
- Felsenstein J: PHYLIP (Phylogeny Inference Package) Version 3.6. [http://evolution.genetics.washington.edu/phylip.html]
- Felsenstein J: Confidence limits on phylogenies: An approach using the bootstrap. Evolution. 1985, 39: 783-791.Google Scholar
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