- Open Access
Parallel evolution of conserved non-coding elements that target a common set of developmental regulatory genes from worms to humans
© Vavouri et al.; licensee BioMed Central Ltd. 2007
- Received: 25 July 2006
- Accepted: 2 February 2007
- Published: 02 February 2007
The human genome contains thousands of non-coding sequences that are often more conserved between vertebrate species than protein-coding exons. These highly conserved non-coding elements (CNEs) are associated with genes that coordinate development, and have been proposed to act as transcriptional enhancers. Despite their extreme sequence conservation in vertebrates, sequences homologous to CNEs have not been identified in invertebrates.
Here we report that nematode genomes contain an alternative set of CNEs that share sequence characteristics, but not identity, with their vertebrate counterparts. CNEs thus represent a very unusual class of sequences that are extremely conserved within specific animal lineages yet are highly divergent between lineages. Nematode CNEs are also associated with developmental regulatory genes, and include well-characterized enhancers and transcription factor binding sites, supporting the proposed function of CNEs as cis-regulatory elements. Most remarkably, 40 of 156 human CNE-associated genes with invertebrate orthologs are also associated with CNEs in both worms and flies.
A core set of genes that regulate development is associated with CNEs across three animal groups (worms, flies and vertebrates). We propose that these CNEs reflect the parallel evolution of alternative enhancers for a common set of developmental regulatory genes in different animal groups. This 're-wiring' of gene regulatory networks containing key developmental coordinators was probably a driving force during the evolution of animal body plans. CNEs may, therefore, represent the genomic traces of these 'hard-wired' core gene regulatory networks that specify the development of each alternative animal body plan.
- Gene Ontology
- Transcription Factor Binding Site
- Additional Data File
- Position Weight Matrix
- Transcriptional Enhancer
Comparisons of the human genome against the genomes of distantly related vertebrates have revealed an abundance of highly conserved non-coding elements (CNEs) that appear to have been 'frozen' throughout vertebrate evolution [1–7]. The exact number of elements shared between any set of species varies depending on the precise definition of similarity and the divergence of the genomes used. For example, a comparison of the human genome against the mouse and the rat genomes revealed that all three share 256 elements with no evidence of transcription that are 100% identical over at least 200 base-pairs (bp) . Furthermore, the human genome and the genome of the Japanese pufferfish (Fugu rubripes), which diverged from a common ancestor approximately 450 million years ago (MYA), share 1,373 CNEs, with an average length of 199 bp and average identity of 84% .
A striking property of human CNEs is that they cluster in genomic regions that contain genes coding for transcription factors and signaling genes involved in the regulation of development ('trans-dev' genes) [2–4, 6]. Therefore, CNEs have been proposed to act as cis-regulatory sequences for these trans-dev genes. In support of this, where tested, the majority of assayed CNEs can act as tissue-specific enhancers for a transgene in zebrafish or mice [4, 7–10].
Vertebrate CNEs show extreme sequence conservation among distantly related species, often showing higher conservation than protein-coding exons [4, 5]. However, there appear to be no traces of vertebrate CNEs in invertebrate genomes that can be identified by sequence similarity searches [2, 4, 11]. The evolutionary origin of most vertebrate CNEs therefore remains unknown . Although CNEs have also been identified in invertebrate genomes [12–14], they have been found to be smaller and less frequent than vertebrate CNEs. Recently, Glazov et al.  identified 20,301 non-coding elements that are conserved over at least 50 bp between the very closely related genomes of Drosophila melanogaster and Drosophila pseudoobscura and showed that these elements were also found preferentially near genes encoding transcription factors and developmental regulatory genes. D. melanogaster and D. pseudoobscura diverged from their common ancestor 25 to 55 MYA  and show sequence divergence similar to that between the human and mouse genomes . Consequently, it is difficult to distinguish functionally conserved elements from background sequence conservation by comparing these two genomes alone. In fact, only two of these elements were conserved in the more distantly related genome of Anopheles gambiae, which shared a common ancestor with the Drosophila species approximately 250 MYA . Therefore, it is still unclear how widespread highly conserved non-coding elements are among different animal genomes and whether similar genes are associated with the most conserved non-coding elements in both invertebrate and vertebrate genomes.
To provide further insight into the function and evolution of CNEs, we have focused on the simplest animal group for which multiple genome sequences are currently available. Two nematode genomes, Caenorhabditis elegans and Caenorhabditis briggsae have been fully sequenced and assembled [17, 18]. These two species diverged from a common ancestor approximately 80 to 110 MYA . Although C. elegans and C. briggsae diverged at a similar time as human and mouse, the neutral substitution rate estimated for these two Caenorhabditis genomes is roughly three-fold higher than for human-mouse , so providing a substantial period of evolutionarily divergence between these species. Whole genome shotgun sequence has also been released recently for a third nematode genome, C. remanei. C. remanei is a sister species of C. briggsae, and these two genomes show sequence divergence similar to that between the human and mouse genomes .
The CNEs that we have identified in C. elegans have many properties that mirror those of vertebrate CNEs. Although smaller than vertebrate CNEs, worm CNEs also reside near developmental regulatory genes. Moreover, they share both a striking base composition transition signal and a similar A+T content with vertebrate CNEs. Worm CNEs identify many previously characterized transcriptional enhancers and transcription factor binding sites. Most strikingly, we find that vertebrate and invertebrate CNEs are often associated with orthologous genes. Our analysis indicates that CNEs are commonly associated with the same developmental genes in different animal groups. Therefore, it seems likely that CNEs evolved in parallel in different animal lineages to regulate the expression of a core set of regulatory genes. The extreme sequence conservation of CNEs likely reflects the functional importance of these elements as components of the gene regulatory networks that define each different evolutionarily stable animal body plan.
Identification of worm conserved non-coding elements
To identify highly conserved non-coding elements in the genome of C. elegans, we searched for sequences that contain large blocks of identity with the genome of C. briggsae and show no evidence of transcription. We used MegaBlast (with soft masking, e-value threshold of 0.001 and with the rest of the parameters set to the default values) to identify sequences that contain at least 30 (word seed size 30, W30) to 100 (word seed size 100, W100) consecutive nucleotides identical between the two nematode genomes, and removed any elements overlapping protein-coding exons, non-coding RNAs or repetitive sequences (see Materials and methods for details). We identified no non-coding elements with W100, 19 elements with W75, 304 elements with W50, 746 elements with W40 and 3,061 elements with W30. All further analysis was carried out on the W30 set. Of these elements, 69% are also found in the early draft genome sequence of C. remanei. We refer to these non-coding sequences conserved in all three genomes as worm CNEs (wCNEs), which comprise 1,460 intergenic elements with no evidence of transcription and 624 elements located in introns covering, in total, approximately 144 kb. These wCNEs have a mean length of 69 bp (minimum 30 bp, maximum 432 bp, median 59 bp) and a mean identity of 96% between C. elegans and C. briggsae with 990 elements being 100% identical between all three species. Using the PhastCons method , 93% of the total sequence contained in wCNEs is estimated to be under purifying selection rather than to be evolving neutrally. Moreover, this figure is probably an underestimation because the lack of sequence from other nematode species may result in an underestimation of branch lengths . Therefore, the vast majority of wCNEs are likely to be functional elements under negative selection.
wCNEs cluster around genes and are enriched on the X chromosome
Vertebrate and invertebrate CNEs share a striking nucleotide frequency pattern at their boundaries
wCNEs are associated with developmental transcription factors and signaling genes
CNEs in the human genome are associated with genes involved in the regulation of development and, in particular, with transcription factors ('trans-dev' genes) [2–4, 6, 7]. To assess whether CNEs are associated with certain types of genes in C. elegans, we spatially associated each wCNE to the protein-coding gene with the nearest transcription start site. The mean distance between a wCNE and the nearest transcription start site is 2,929 bp, with 1,206 (82.6%) of intergenic wCNEs lying more than 500 bp from the nearest transcription start site (Additional data file 3).
In addition, wCNE-associated genes are enriched for cell-signaling GO terms, which has also been noted for the elements in Drosophila , but is less striking in humans. Nonetheless, several examples of major signaling genes involved in development are associated with CNEs in the human genome, with a classic example being the sonic hedgehog gene at 7q36.3 . This difference is an intriguing result considering that the human genome contains more signaling genes (1,790/15,023 = 11.92% of human genes annotated with the term 'signal transduction') than the C. elegans genome (599/8,301 = 7.22%), whereas there are fewer signaling genes among the human CNE-associated genes (15/274 = 5.47%) than the wCNE-associated genes in C. elegans (84/638 = 13.17%). A possible explanation for this difference is that signaling genes in vertebrates are associated with elements less conserved than the CNEs we previously identified. In support of this hypothesis, a set of vertebrate non-coding elements identified with less stringent criteria are significantly enriched for the GO term 'signal transduction' .
To further analyze the types of genes associated with CNEs, we looked at the InterPro protein domains  encoded by these genes. Both Homo sapiens and C. elegans CNEs are enriched in the neighborhoods of genes encoding DNA-binding transcription factor domains (including Homeodomain-like, Winged-helix repressor DNA-binding, Zinc finger C2H2-type and HMG1/2; Additional data file 4). We also examined the enrichment for transcription factors among the wCNE-associated genes using predicted transcription factors from two high-quality databases: DBD, a database of computationally predicted transcription factors through homology to known DNA-binding domains ; and wTF2.0, a compendium of computationally and manually curated transcription factors in C. elegans . Out of 1,241 of the wCNE-associated genes, 108 (8.7%) are annotated as transcription factors according to DBD and 137 out of 1,241 (11.0%) of the wCNE-associated genes are annotated as transcription factors according to wTF2.0, both being significantly higher than the proportion in the genome (Additional data file 5).
Both H. sapiens and C. elegans CNEs are also associated with genes encoding cell-signaling domains, although, as also noted from the GO terms, this is more pronounced in C. elegans. These domains include those found in extracellular proteins, cell surface receptors, and intracellular signaling proteins. The lack of thoroughly annotated sets of signaling genes could potentially exaggerate differences between human and worm CNE-associated genes.
Human CNEs are not always found directly adjacent to their most likely target genes [6, 7]. It is also possible that CNEs may regulate more than one gene, for example, in the case of bidirectional promoters. Therefore, these statistics probably underestimate the true association of CNEs with developmental regulatory genes. We conclude that CNEs are associated with genes involved in transcription regulation and development and, to a certain degree, cell-signaling in both vertebrates and invertebrates, although the association with cell signaling genes appears to be stronger in invertebrates.
Vertebrate and invertebrate CNEs target a common set of core developmental genes
Most strikingly, we find that many of the genes associated with CNEs in the C. elegans genome are the direct orthologs of CNE-associated genes in the human genome. Of 397 human CNE-associated genes, 190 have identifiable orthologs in C. elegans and, of these, 60 are also associated with wCNEs in C. elegans. This is much greater than expected by chance (p < 0.001, by randomization). For example, the C. elegans gene mab-18 is associated with ten wCNEs and its human ortholog PAX6 is associated with two hCNEs. For worm CNE-associated genes that have been duplicated in the vertebrate lineage, multiple paralogs are often associated with hCNEs. For example, the C. elegans gene sem-4 is associated with four wCNEs, and has four human orthologs. Of these, SALL1 is associated with two hCNEs, SALL3 with eleven hCNEs and SALL4 with one hCNE.
Orthologous genes associated with CNEs (and uc-elements) in humans, flies and worms
Number of associated wCNEs
Number of associated uc-elements
Number of associated hCNEs
wCNEs identify transcriptional enhancer sequences and may function as transcription factor binding sites
Occurrences of a sequence motif overrepresented in wCNEs associated with pharyngeal genes
wCNE distance from TSS
Intronic wCNEs likely function as enhancers for downstream alternative transcription start sites
Almost a third of wCNEs (624/2,084) are located in introns. To investigate whether intronic wCNEs represent a separate type of element, we examined whether they are associated with particular classes of transcripts. We found that there is a strong association between the presence of an intronic wCNE and genes that are known to produce multiple different transcripts (57% of genes containing intronic wCNEs have documented alternative transcripts, compared to 19% of all multi-exon genes). Moreover, in 70% of the cases of alternatively spliced genes containing intronic wCNEs, the gene encodes an alternative first exon (compared to 35% of all genes with alternative transcripts). This suggests that intronic wCNEs are strongly associated with genes with alternative first exons and, therefore, that intronic wCNEs may act as enhancers for downstream alternative start sites. In support of this hypothesis, in 78% of cases the intronic wCNE is located upstream of the alternative first exon (see Figure 4 for examples). Therefore, we do not believe that, in general, intronic wCNEs regulate alternative splicing. Rather, we suggest that, at least in C. elegans, the majority of intronic wCNEs, like intergenic wCNEs, probably function as cis-regulatory transcriptional enhancers, but for downstream alternative transcriptional start sites.
Shared properties of nematode and vertebrate CNEs
We have identified a set of highly conserved non-coding sequences (wCNEs) in the genome of C. elegans. Just as with CNEs in the human genome, these wCNEs are clustered around genes that encode regulators of development, especially transcription factors and signaling genes. Both human and worm CNEs share striking nucleotide frequency patterns at their boundaries and are similarly AT-rich, despite differences in the background A+T content of their genomes. Worm CNEs overlap many independently identified cis-regulatory elements, and vertebrate CNEs can act as tissue-specific enhancers in transient zebrafish assays. It seems likely, therefore, that human and worm CNEs function analogously as cis-elements that regulate the transcription of a core set of developmental regulatory genes. Consistent with this model, intronic wCNEs are very strongly associated with downstream alternative transcriptional start sites, suggesting that they too probably function as tissue-specific cis-regulatory elements.
How do CNEs regulate gene-expression? The simplest model is that CNEs encode transcription factor binding sites. In support of this model, we find that wCNEs associated with genes expressed in the pharynx are significantly enriched for a DNA motif that matches the binding-site of the major pharynx specifying transcription factor PHA-4. However, it is still difficult to reconcile the length and level of sequence conservation of CNEs with the known sequence constraints of transcription factor binding sites, especially since conservation of individual transcription factor binding sites has been found unnecessary for conservation of enhancer function (for example, ). Therefore, CNEs may represent very dense, potentially overlapping transcription factor binding sites. If this scenario were true, differences in the number of overlapping constraints between different cis-elements would manifest as differences in the degree of sequence conservation of these elements, with CNEs representing the most extreme cases. Indeed, reducing the stringency of the conservation threshold (either by relaxing the similarity search criteria [4, 27] or by comparing less divergent species ) often reveals additional or longer non-coding elements. Alternatively, CNEs may also encode some additional regulatory function. For example, it is possible to envisage mechanisms involving sequence recognition between homologous chromosomes (for example, 'transvection' ) that would require sequence identity to be maintained between the maternal and paternal genomes.
Remarkably, of the 190 genes that are associated with CNEs in humans and have orthologs in C. elegans, 60 have orthologs that are also associated with CNEs in C. elegans. This suggests that unrelated CNEs may be associated with a core set of regulatory genes in many divergent animal species. In support of this, 40 of these 60 genes are also orthologous to CNE-associated genes in D. melanogaster. Such an overlap between the sets of CNE-associated genes from three animal phyla is very unlikely to have arisen by chance, and suggests that a core set of developmental regulatory genes may be associated with CNEs across all animal lineages.
Because of its genetic tractability and reduced intergenic distances, we propose that C. elegans will serve as an excellent model organism for further understanding the mechanism by which CNEs regulate gene expression. The dissection of CNEs in parallel in different animals using both computational and experimental approaches would provide us with valuable insight into the evolution of the regulatory networks that control the development of the metazoan body plan.
Since many of the genes associated with CNEs encode for transcription factors that control early development, it is possible that CNEs themselves are bound by these transcription factors. Orthologous transcription factors are not only present in most metazoan lineages, but also often have highly conserved DNA-binding domains (for example, the DNA-binding domains of orthologous HOX , FOXA [33, 34] and Brachyury T-box  proteins). It is tempting, therefore, to speculate that CNEs might function as enhancers even when tested in different animal lineages. A small number of reporter gene assays testing enhancers of regulatory genes from vertebrates in flies have shown positive results (for example, [41–43]), indicating that the regulators of these vertebrate enhancers are also present in flies. However, we would not expect alternative CNEs from different animals to drive the same expression patterns, reflecting differences in the body plans of different animal lineages.
CNEs and the evolution of animal body plans
The evolution of cis-regulatory elements is an important driving force in the evolution of gene regulatory networks (GRNs). In the case of multicellular animals, the initial assembly and subsequent modifications of cis-elements for key developmental control genes probably allowed the 're-wiring' of developmental GRNs and, hence, the evolution of new animal body plans . In this way, regulatory genes became associated with alternative sets of cis-elements in different animal lineages and these cis-elements now define the core GRNs of each animal body plan. We propose that CNEs represent the 'hard-wired' sequence traces of these core animal group-specific GRNs. The alternative core GRNs of different animal lineages are reflected in their having alternative CNEs. However, because of their co-evolution from a common metazoan ancestor, the core GRNs of different animal groups often utilize the same regulatory genes. As a result, distinct yet parallel sets of CNEs have become irreversibly associated with the same genes that coordinate core developmental networks in diverse animal groups. Indeed, this evolution of regulatory elements may underlie the astounding diversification of animal body plans that was seen during the Cambrian period approximately 550 million years ago.
Identification of conserved non-coding elements in C. elegans
DNA sequences and annotation files for the C. elegans genome (release WS140), the DNA sequence for the C. briggsae genome (release cb25) and the repeat-masked sequence of the C. remanei genome (downloaded on 30 October 2005) were retrieved from WormBase . The sequence of each C. elegans chromosome was split into 500 kb fragments overlapping by 200 bp. We searched for local similarity between each 500 kb sequence fragment from C. elegans against the genome of C. briggsae using MegaBlast (version 2.2.6) . We performed MegaBlast searches with soft masking, e-value threshold of 0.001 and word seed size 100 bp (W100), 75 bp (W75), 50 bp (W50), 40 bp (W40) and 30 bp (W30). Where overlapping regions of the query (C. elegans) sequence matched more than one location in the C. briggsae genome, these regions of the query were merged, resulting in non-overlapping elements. Conserved elements were annotated according to the set of WormBase features provided in Additional data file 7. Elements not overlapping any of these features were marked as 'unannotated' elements and elements within introns of protein-coding genes were only annotated as 'intronic' if they did not overlap any type of exons or repeats (Additional data file 7). Our definition of unannotated and intronic conserved elements is very conservative, so that any amount of overlap between a conserved element and a genomic feature, such as any type of exon, a match to an expressed sequence, a predicted gene, or a repeat is considered sufficient to mask this element as exonic or repetitive. Unannotated and intronic elements were further scanned for missed repeats using RepeatMasker (version 3.0.8, slow/sensitive option, using Crossmatch)  using both the C. elegans repeat library distributed with the program and the C. briggsae library downloaded from WormBase . The remaining elements were scanned for missed tRNAs using tRNAscan-SE (v.1.11) . In addition, 36 elements with a BLAST match in Rfam , the microRNA registry database  and EMBL expressed sequence tags (downloaded on 21 April 2005) were removed (e-value threshold of 0.0001). We then checked whether the remaining unannotated or intronic conserved elements found in C. elegans and C. briggsae were similarly conserved in the genome of C. remanei using MegaBlast, with soft masking, word seed length of 30 bp and e-value threshold 0.0001. Of the elements conserved between C. elegans and C. briggsae, 69% were also found in C. remanei using the same similarity search criteria. The sequences of the final set of 2,084 wCNEs are provided in Additional data file 8. Finally, we searched the set of 2,084 wCNEs for sequence similarity against the human CNEs (1,373 sequences from Woolfe et al. ) using BlastN (version 2.2.6)  and found no significant hits (e-value threshold = 0.0001).
We compared the final set of elements conserved between all three Caenorhabditis species with elements identified as conserved by WABA, a sensitive alignment method designed to find homologous regions between the C. elegans and the C. briggsae genome and annotate them as 'strongly conserved', 'weakly conserved' or 'coding' using information on conservation and the third base 'wobble' of protein-coding sequences . Of all base pairs in wCNEs, 97% are contained within alignments classified as strongly conserved, 0.6% are within alignments classified as coding and 6% are within alignments classified as weakly conserved.
We also calculated the overlap between wCNEs and elements predicted as conserved using PhastCons. PhastCons  is a statistical method that scores sequences in alignments according to how much more likely it is that they are conserved than that they are evolving neutrally, based on a phylogenetic hidden Markov model. Elements predicted to be conserved by PhastCons based on C. elegans-C. briggsae BLASTZ alignments  were retrieved through the UCSC Genome Browser (table PhastConsElements).
Genomic distribution and sequence analysis of wCNEs
The clustering of wCNEs along the C. elegans chromosome and the comparison of the distances between CNEs in the human and the C. elegans genome were calculated as described in Woolfe et al. . We assessed the enrichment of wCNEs on chromosome X using a randomization test. We generated 1,000 sets of 2,084 (that is, the same number as the wCNEs) random locations in the C. elegans genome, making sure that the random locations lie within non-coding and non-repetitive regions. The random sets had, on average, 487.3 wCNEs on X (minimum = 432; maximum = 550). Therefore, the enrichment of wCNEs on chromosome X is highly significant (p value < 0.001).
The A+T nucleotide content in the 200 bp flanking CNEs and the first 15 bp of CNEs were calculated according to Walter et al. . In brief, 215 bp of sequence from one CNE end and 215 bp of reverse complemented sequence from the other CNE end were aligned according to the first position of each CNE. The percentage of A+T nucleotide composition was calculated and plotted for each position along this 215 bp alignment.
Analysis of CNE-associated genes in C. elegans, D. melanogaster and H. sapiens
For each of the 2,084 wCNEs, we identified the protein-coding genes with the nearest transcription start site (TSS) according to the WormBase annotation (WS140; Additional data file 9). We assigned 1,241 genes to the wCNEs. As fly CNEs we used the 20,301 intergenic and intronic 'ultraconserved' (uc) elements between D. melanogaster and D. pseudoobscura with size ≥50 bp from Glazov et al. . We associated each uc-element to the gene with the nearest transcription start site (according to the fly genome annotation release dm1). We assigned 3,750 genes to fly uc-elements. Similarly, we identified the nearest protein-coding genes to the 1,373 human elements conserved between human and Fugu from Woolfe et al.  according to human genome NCBI35 accessed via Ensembl  v35 (397 genes) (Additional data file 10).
The GO annotation files for C. elegans (revision 1.55) and human (revision 1.22) were downloaded directly from the GO website . Only GO terms inferred automatically (GO evidence code IEA) were used in our analysis because of the heavy bias of RNAi phenotypes on the GO annotations of the genes in C. elegans (our unpublished observation). To increase the signal, GO terms were converted to the higher-level GOslim terms and these are the terms we have used in this paper. GOslim term associations and counts for C. elegans and human genes were calculated using the Perl script map2slim from the go-perl package and the generic GOslim (revision 1.116) . Out of 397 human genes and 1,241 C. elegans genes, 274 and 638, respectively, were assigned a GOslim term. We retrieved protein domains for the C. elegans and the human genes from Ensembl. Out of 397 human genes and 1,241 C. elegans genes spatially associated with CNEs, 316 and 877, respectively, were annotated with at least one InterPro domain. To increase the signal, each domain was converted to the top-level parent domain according to the InterPro protein domain annotation using a custom Perl script. The following analysis was carried out for all top-level InterPro domains found in at least ten genes in the human and the C. elegans genomes. For each type of annotation (i.e. each GOsilm term and each InterPro parent domain), we calculated the log odds ratio log((a × b)/(c × d)) , where a is the number of genes in the CNE-associated gene set with the specific annotation, b is the number of annotated genes without the specific annotation and not in the CNE-associated genes set, c is the number of genes with the specific annotation but not in the CNE-associated gene set, and d is the number of remaining annotated genes without the specific annotation in the CNE-associated gene set. The log odds ratios, confidence intercals (CI) and p-values were calculated using the R statistical package  (according to a two-tailed test). The p value threshold at the 5% false discovery rate (FDR) cut-off was calculated according to the false discovery rate method by Benjamini and Hochberg . We also carried out a randomization test to check how likely it is to get by chance the same proportion of genes annotated with the GO terms 'transcription factor activity' and 'development' as we did for the wCNE set. To do this, we generated 1,000 sets of 2,084 (that is, the same number as the wCNEs) random locations in the C. elegans genome, making sure that the random locations lie within non-coding and non-repetitive regions. For each random location, we then retrieved the gene with the nearest transcription start site. Finally, for each set, we counted the proportion of genes annotated with the GO terms 'transcription factor activity' and 'development'.
Orthologous gene clusters were retrieved from Inparanoid (version 4.0) . The Inparanoid dataset contains clusters of orthologous proteins between pairs of genomes. There are 4,558 Inparanoid clusters of orthologous proteins from C. elegans and human that contain 8,846 human proteins and 5,614 C. elegans proteins. Of the human protein-coding genes with C. elegans orthologs and the C. elegans protein-coding genes with human orthologs, 190 and 424, respectively, are associated with CNEs. For D. melanogaster and H. sapiens, there are 5,497 Inparanoid clusters of orthologs that contain 8,960 human proteins and 6,170 D. melanogaster proteins. Of the human protein-coding genes with D. melanogaster orthologs and the D. melanogaster protein-coding genes with human orthologs, 215 and 1,254, respectively, are associated with CNEs/uc-elements. To evaluate the significance of the overlap between CNE-associated genes in human and C. elegans, we performed 1,000 randomizations, randomly picking 424 C. elegans genes from those in the Inparanoid clusters and counting how many of them have an ortholog among the 190 human CNE-associated genes. The same overlap of CNE-associated genes in the two genomes was never seen in 1,000 randomizations. Similarly, we performed 1,000 randomizations, randomly picking 1,254 D. melanogaster genes and counting how many of them have an ortholog among the 215 human CNE-associated genes. Again, the same overlap of CNE-associated genes in the two genomes was never seen in 1,000 randomizations.
Motif discovery in pharyngeal gene-associated CNEs
Genes expressed in the pharynx were identified by microarray analysis in . The 120 wCNEs associated with pharyngeal genes were submitted to a local installation of Weeder (version 1.3) . We performed an 'extra' mode search (that is, looking for motifs 6 bp long with 1 mismatch, 8 bp long with 3 mismatches, 10 bp long with 4 mismatches and 12 bp long with 4 mismatches), looking for motifs in both strands and reporting back 50 motifs. Post-processing of the identified motifs carried out by Weeder returned one 'redundant' motif in the form of a position weight matrix (PWM) and seven high scoring matches of this PWM in the input set of sequences. The significance of the motif identified by Weeder was estimated using the Weeder p value calculator . The high scoring matches of the PWM in the pharyngeal wCNEs are shown in Table 2. The sequence logo for this PWM was created using WebLogo .
The following additional data are available with the online version of this paper. Additional data file 1 is a figure showing the distribution of wCNEs along each chromosome. Additional data file 2 is a figure showing the distribution of distances between CNEs in both the C. elegans and the H. sapiens genomes and for randomized CNE locations. Additional data file 3 is a figure showing the distribution of distances between intergenic wCNEs and their nearest genes. Additional data file 4 is a table showing all the top-level InterPro protein domains significantly enriched in CNE-associated genes compared to the rest of the genes in the (a) H. sapiens and (b) C. elegans genomes. Additional data file 5 is a table showing the enrichment for transcription factors among wCNE-associated genes, using two different collections of predicted transcription factors from the C. elegans genome. Additional data file 6 is a table showing wCNEs overlapping known cis-regulatory elements. Additional data file 7 is a table showing the annotation features from WormBase that were used to annotate wCNEs. Additional data file 8 contains the sequences of the 2,084 wCNEs. Additional data file 9 is a table with the coordinates of the wCNEs in the C. elegans genome, their nearest genes and their human orthologs. Additional data file 10 is a table with the coordinates of the human CNEs from Woolfe et al.  with their nearest genes assigned using the same method as for the wCNEs.
We acknowledge Giulio Pavesi and Chris Mungall for assistance with Weeder and GOslim terms, respectively. BL thanks Andrew Fraser for support and many interesting discussions. TV is supported by a MRC Predoctoral Fellowship.
- Boffelli D, Nobrega MA, Rubin EM: Comparative genomics at the vertebrate extremes. Nat Rev Genet. 2004, 5: 456-465. 10.1038/nrg1350.PubMedView ArticleGoogle Scholar
- Bejerano G, Pheasant M, Makunin I, Stephen S, Kent WJ, Mattick JS, Haussler D: Ultraconserved elements in the human genome. Science. 2004, 304: 1321-1325. 10.1126/science.1098119.PubMedView ArticleGoogle Scholar
- Sandelin A, Bailey P, Bruce S, Engstrom PG, Klos JM, Wasserman WW, Ericson J, Lenhard B: Arrays of ultraconserved non-coding regions span the loci of key developmental genes in vertebrate genomes. BMC Genomics. 2004, 5: 99-10.1186/1471-2164-5-99.PubMedPubMed CentralView ArticleGoogle Scholar
- Woolfe A, Goodson M, Goode DK, Snell P, McEwen GK, Vavouri T, Smith SF, North P, Callaway H, Kelly K, et al: Highly conserved non-coding sequences are associated with vertebrate development. PLoS Biol. 2005, 3: e7-10.1371/journal.pbio.0030007.PubMedPubMed CentralView ArticleGoogle Scholar
- Dermitzakis ET, Reymond A, Antonarakis SE: Conserved non-genic sequences - an unexpected feature of mammalian genomes. Nat Rev Genet. 2005, 6: 151-157. 10.1038/nrg1527.PubMedView ArticleGoogle Scholar
- Vavouri T, McEwen GK, Woolfe A, Gilks WR, Elgar G: Defining a genomic radius for long-range enhancer action: duplicated conserved non-coding elements hold the key. Trends Genet. 2006, 22: 5-10. 10.1016/j.tig.2005.10.005.PubMedView ArticleGoogle Scholar
- McEwen GK, Woolfe A, Goode D, Vavouri T, Callaway H, Elgar G: Ancient duplicated conserved noncoding elements in vertebrates: a genomic and functional analysis. Genome Res. 2006, 16: 451-465. 10.1101/gr.4143406.PubMedPubMed CentralView ArticleGoogle Scholar
- Nobrega MA, Ovcharenko I, Afzal V, Rubin EM: Scanning human gene deserts for long-range enhancers. Science. 2003, 302: 413-10.1126/science.1088328.PubMedView ArticleGoogle Scholar
- de la Calle-Mustienes E, Feijoo CG, Manzanares M, Tena JJ, Rodriguez-Seguel E, Letizia A, Allende ML, Gomez-Skarmeta JL: A functional survey of the enhancer activity of conserved non-coding sequences from vertebrate Iroquois cluster gene deserts. Genome Res. 2005, 15: 1061-1072. 10.1101/gr.4004805.PubMedPubMed CentralView ArticleGoogle Scholar
- Goode DK, Snell P, Smith SF, Cooke JE, Elgar G: Highly conserved regulatory elements around the SHH gene may contribute to the maintenance of conserved synteny across human chromosome 7q36.3. Genomics. 2005, 86: 172-181. 10.1016/j.ygeno.2005.04.006.PubMedView ArticleGoogle Scholar
- Bejerano G, Lowe CB, Ahituv N, King B, Siepel A, Salama SR, Rubin EM, Kent WJ, Haussler D: A distal enhancer and an ultraconserved exon are derived from a novel retroposon. Nature. 2006, 441: 87-90. 10.1038/nature04696.PubMedView ArticleGoogle Scholar
- Kent WJ, Zahler AM: Conservation, regulation, synteny, and introns in a large-scale C. briggsae-C. elegans genomic alignment. Genome Res. 2000, 10: 1115-1125. 10.1101/gr.10.8.1115.PubMedView ArticleGoogle Scholar
- Glazov EA, Pheasant M, McGraw EA, Bejerano G, Mattick JS: Ultraconserved elements in insect genomes: a highly conserved intronic sequence implicated in the control of homothorax mRNA splicing. Genome Res. 2005, 15: 800-808. 10.1101/gr.3545105.PubMedPubMed CentralView ArticleGoogle Scholar
- Siepel A, Bejerano G, Pedersen JS, Hinrichs AS, Hou M, Rosenbloom K, Clawson H, Spieth J, Hillier LW, Richards S, et al: Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res. 2005, 15: 1034-1050. 10.1101/gr.3715005.PubMedPubMed CentralView ArticleGoogle Scholar
- Richards S, Liu Y, Bettencourt BR, Hradecky P, Letovsky S, Nielsen R, Thornton K, Hubisz MJ, Chen R, Meisel RP, et al: Comparative genome sequencing of Drosophila pseudoobscura: chromosomal, gene, and cis-element evolution. Genome Res. 2005, 15: 1-18. 10.1101/gr.3059305.PubMedPubMed CentralView ArticleGoogle Scholar
- Gaunt MW, Miles MA: An insect molecular clock dates the origin of the insects and accords with palaeontological and biogeographic landmarks. Mol Biol Evol. 2002, 19: 748-761.PubMedView ArticleGoogle Scholar
- C. elegans Sequencing Consortium: Genome sequence of the nematode C. elegans: a platform for investigating biology. Science. 1998, 282: 2012-2018. 10.1126/science.282.5396.2012.View ArticleGoogle Scholar
- Stein LD, Bao Z, Blasiar D, Blumenthal T, Brent MR, Chen N, Chinwalla A, Clarke L, Clee C, Coghlan A, et al: The genome sequence of Caenorhabditis briggsae: a platform for comparative genomics. PLoS Biol. 2003, 1: E45-10.1371/journal.pbio.0000045.PubMedPubMed CentralView ArticleGoogle Scholar
- Kiontke K, Gavin NP, Raynes Y, Roehrig C, Piano F, Fitch DH: Caenorhabditis phylogeny predicts convergence of hermaphroditism and extensive intron loss. Proc Natl Acad Sci USA. 2004, 101: 9003-9008. 10.1073/pnas.0403094101.PubMedPubMed CentralView ArticleGoogle Scholar
- Kamath RS, Fraser AG, Dong Y, Poulin G, Durbin R, Gotta M, Kanapin A, Le Bot N, Moreno S, Sohrmann M, et al: Systematic functional analysis of the Caenorhabditis elegans genome using RNAi. Nature. 2003, 421: 231-237. 10.1038/nature01278.PubMedView ArticleGoogle Scholar
- Coghlan A, Wolfe KH: Fourfold faster rate of genome rearrangement in nematodes than in Drosophila. Genome Res. 2002, 12: 857-867. 10.1101/gr.172702.PubMedPubMed CentralView ArticleGoogle Scholar
- Walter K, Abnizova I, Elgar G, Gilks WR: Striking nucleotide frequency pattern at the borders of highly conserved vertebrate non-coding sequences. Trends Genet. 2005, 21: 436-440. 10.1016/j.tig.2005.06.003.PubMedView ArticleGoogle Scholar
- Aparicio S, Chapman J, Stupka E, Putnam N, Chia JM, Dehal P, Christoffels A, Rash S, Hoon S, Smit A, et al: Whole-genome shotgun assembly and analysis of the genome of Fugu rubripes. Science. 2002, 297: 1301-1310. 10.1126/science.1072104.PubMedView ArticleGoogle Scholar
- Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, FitzHugh W, et al: Initial sequencing and analysis of the human genome. Nature. 2001, 409: 860-921. 10.1038/35057062.PubMedView ArticleGoogle Scholar
- Macdonald SJ, Long AD: Fine Scale Structural Variants Distinguish the Genomes of Drosophila melanogaster and D. pseudoobscura. Genome Biol. 2006, 7: R67-10.1186/gb-2006-7-7-r67.PubMedPubMed CentralView ArticleGoogle Scholar
- Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al: Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000, 25: 25-29. 10.1038/75556.PubMedPubMed CentralView ArticleGoogle Scholar
- Sanges R, Kalmar E, Claudiani P, D'Amato M, Muller F, Stupka E: Shuffling of cis-regulatory elements is a pervasive feature of the vertebrate lineage. Genome Biol. 2006, 7: R56-10.1186/gb-2006-7-7-r56.PubMedPubMed CentralView ArticleGoogle Scholar
- Mulder NJ, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bradley P, Bork P, Bucher P, Cerutti L, et al: InterPro, progress and status in 2005. Nucleic Acids Res. 2005, 33: D201-205. 10.1093/nar/gki106.PubMedPubMed CentralView ArticleGoogle Scholar
- Kummerfeld SK, Teichmann SA: DBD: a transcription factor prediction database. Nucleic Acids Res. 2006, 34: D74-81. 10.1093/nar/gkj131.PubMedPubMed CentralView ArticleGoogle Scholar
- Reece-Hoyes JS, Deplancke B, Shingles J, Grove CA, Hope IA, Walhout AJ: A compendium of Caenorhabditis elegans regulatory transcription factors: a resource for mapping transcription regulatory networks. Genome Biol. 2005, 6: R110-10.1186/gb-2005-6-13-r110.PubMedPubMed CentralView ArticleGoogle Scholar
- Gaudet J, Muttumu S, Horner M, Mango SE: Whole-genome analysis of temporal gene expression during foregut development. PLoS Biol. 2004, 2: e352-10.1371/journal.pbio.0020352.PubMedPubMed CentralView ArticleGoogle Scholar
- Pavesi G, Mereghetti P, Mauri G, Pesole G: Weeder Web: discovery of transcription factor binding sites in a set of sequences from co-regulated genes. Nucleic Acids Res. 2004, 32: W199-203. 10.1093/nar/gkh465.PubMedPubMed CentralView ArticleGoogle Scholar
- Overdier DG, Porcella A, Costa RH: The DNA-binding specificity of the hepatocyte nuclear factor 3/forkhead domain is influenced by amino-acid residues adjacent to the recognition helix. Mol Cell Biol. 1994, 14: 2755-2766.PubMedPubMed CentralView ArticleGoogle Scholar
- Gaudet J, Mango SE: Regulation of organogenesis by the Caenorhabditis elegans FoxA protein PHA-4. Science. 2002, 295: 821-825. 10.1126/science.1065175.PubMedView ArticleGoogle Scholar
- Vilimas T, Abraham A, Okkema PG: An early pharyngeal muscle enhancer from the Caenorhabditis elegans ceh-22 gene is targeted by the Forkhead factor PHA-4. Dev Biol. 2004, 266: 388-398. 10.1016/j.ydbio.2003.10.015.PubMedView ArticleGoogle Scholar
- Ludwig MZ, Bergman C, Patel NH, Kreitman M: Evidence for stabilizing selection in a eukaryotic enhancer element. Nature. 2000, 403: 564-567. 10.1038/35000615.PubMedView ArticleGoogle Scholar
- Prabhakar S, Poulin F, Shoukry M, Afzal V, Rubin EM, Couronne O, Pennacchio LA: Close sequence comparisons are sufficient to identify human cis-regulatory elements. Genome Res. 2006, 16: 855-863. 10.1101/gr.4717506.PubMedPubMed CentralView ArticleGoogle Scholar
- Lewis EB: The theory and application of a new method of detecting chromosomal rearrangements in Drosophila melanogaster. American Naturalist. 1954, 88: 225-239. 10.1086/281833.View ArticleGoogle Scholar
- Ekker SC, Jackson DG, von Kessler DP, Sun BI, Young KE, Beachy PA: The degree of variation in DNA sequence recognition among four Drosophila homeotic proteins. Embo J. 1994, 13: 3551-3560.PubMedPubMed CentralGoogle Scholar
- Muller CW, Herrmann BG: Crystallographic structure of the T domain-DNA complex of the Brachyury transcription factor. Nature. 1997, 389: 884-888. 10.1038/39929.PubMedView ArticleGoogle Scholar
- Popperl H, Bienz M, Studer M, Chan SK, Aparicio S, Brenner S, Mann RS, Krumlauf R: Segmental expression of Hoxb-1 is controlled by a highly conserved autoregulatory loop dependent upon exd/pbx. Cell. 1995, 81: 1031-1042. 10.1016/S0092-8674(05)80008-X.PubMedView ArticleGoogle Scholar
- Blanco J, Girard F, Kamachi Y, Kondoh H, Gehring WJ: Functional analysis of the chicken delta1-crystallin enhancer activity in Drosophila reveals remarkable evolutionary conservation between chicken and fly. Development. 2005, 132: 1895-1905. 10.1242/dev.01738.PubMedView ArticleGoogle Scholar
- Papenbrock T, Peterson RL, Lee RS, Hsu T, Kuroiwa A, Awgulewitsch A: Murine Hoxc-9 gene contains a structurally and functionally conserved enhancer. Dev Dyn. 1998, 212: 540-547. 10.1002/(SICI)1097-0177(199808)212:4<540::AID-AJA7>3.0.CO;2-H.PubMedView ArticleGoogle Scholar
- Davidson EH, Erwin DH: Gene regulatory networks and the evolution of animal body plans. Science. 2006, 311: 796-800. 10.1126/science.1113832.PubMedView ArticleGoogle Scholar
- Chen N, Harris TW, Antoshechkin I, Bastiani C, Bieri T, Blasiar D, Bradnam K, Canaran P, Chan J, Chen CK, et al: WormBase: a comprehensive data resource for Caenorhabditis biology and genomics. Nucleic Acids Res. 2005, 33: D383-389. 10.1093/nar/gki066.PubMedPubMed CentralView ArticleGoogle Scholar
- Zhang Z, Schwartz S, Wagner L, Miller W: A greedy algorithm for aligning DNA sequences. J Comput Biol. 2000, 7: 203-214. 10.1089/10665270050081478.PubMedView ArticleGoogle Scholar
- RepeatMasker Open-3.0. [http://www.repeatmasker.org]
- Lowe TM, Eddy SR: tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997, 25: 955-964. 10.1093/nar/25.5.955.PubMedPubMed CentralView ArticleGoogle Scholar
- Griffiths-Jones S, Bateman A, Marshall M, Khanna A, Eddy SR: Rfam: an RNA family database. Nucleic Acids Res. 2003, 31: 439-441. 10.1093/nar/gkg006.PubMedPubMed CentralView ArticleGoogle Scholar
- Griffiths-Jones S: The microRNA Registry. Nucleic Acids Res. 2004, 32: D109-111. 10.1093/nar/gkh023.PubMedPubMed CentralView ArticleGoogle 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. 10.1093/nar/25.17.3389.PubMedPubMed CentralView ArticleGoogle Scholar
- Schwartz S, Kent WJ, Smit A, Zhang Z, Baertsch R, Hardison RC, Haussler D, Miller W: Human-mouse alignments with BLASTZ. Genome Res. 2003, 13: 103-107. 10.1101/gr.809403.PubMedPubMed CentralView ArticleGoogle Scholar
- Birney E, Andrews D, Caccamo M, Chen Y, Clarke L, Coates G, Cox T, Cunningham F, Curwen V, Cutts T, et al: Ensembl 2006. Nucleic Acids Res. 2006, 34: D556-561. 10.1093/nar/gkj133.PubMedPubMed CentralView ArticleGoogle Scholar
- The Gene Ontology. [http://www.geneontology.org]
- The R project for statistical computing. [http://www.R-project.org]
- Benjamini Y, Hochberg Y: Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc. 1995, 57: 289-300.Google Scholar
- O'Brien KP, Remm M, Sonnhammer EL: Inparanoid: a comprehensive database of eukaryotic orthologs. Nucleic Acids Res. 2005, 33: D476-480. 10.1093/nar/gki107.PubMedPubMed CentralView ArticleGoogle Scholar
- Weeder - Motif p value Calculator. [http://184.108.40.206/weederaddons/pvalue.html]
- Crooks GE, Hon G, Chandonia JM, Brenner SE: WebLogo: a sequence logo generator. Genome Res. 2004, 14: 1188-1190. 10.1101/gr.849004.PubMedPubMed CentralView ArticleGoogle Scholar
- Altun-Gultekin Z, Andachi Y, Tsalik EL, Pilgrim D, Kohara Y, Hobert O: A regulatory cascade of three homeobox genes, ceh-10, ttx-3 and ceh-23, controls cell fate specification of a defined interneuron class in C. elegans. Development. 2001, 128: 1951-1969.PubMedGoogle Scholar
- Wenick AS, Hobert O: Genomic cis-regulatory architecture and trans-acting regulators of a single interneuron-specific gene battery in C. elegans. Dev Cell. 2004, 6: 757-770. 10.1016/j.devcel.2004.05.004.PubMedView ArticleGoogle Scholar
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