- Open Access
RNase MRP and the RNA processing cascade in the eukaryotic ancestor
© Woodhams et al; licensee BioMed Central Ltd. 2007
- Published: 8 February 2007
Within eukaryotes there is a complex cascade of RNA-based macromolecules that process other RNA molecules, especially mRNA, tRNA and rRNA. An example is RNase MRP processing ribosomal RNA (rRNA) in ribosome biogenesis. One hypothesis is that this complexity was present early in eukaryotic evolution; an alternative is that an initial simpler network later gained complexity by gene duplication in lineages that led to animals, fungi and plants. Recently there has been a rapid increase in support for the complexity-early theory because the vast majority of these RNA-processing reactions are found throughout eukaryotes, and thus were likely to be present in the last common ancestor of living eukaryotes, herein called the Eukaryotic Ancestor.
We present an overview of the RNA processing cascade in the Eukaryotic Ancestor and investigate in particular, RNase MRP which was previously thought to have evolved later in eukaryotes due to its apparent limited distribution in fungi and animals and plants. Recent publications, as well as our own genomic searches, find previously unknown RNase MRP RNAs, indicating that RNase MRP has a wide distribution in eukaryotes. Combining secondary structure and promoter region analysis of RNAs for RNase MRP, along with analysis of the target substrate (rRNA), allows us to discuss this distribution in the light of eukaryotic evolution.
We conclude that RNase MRP can now be placed in the RNA-processing cascade of the Eukaryotic Ancestor, highlighting the complexity of RNA-processing in early eukaryotes. Promoter analyses of MRP-RNA suggest that regulation of the critical processes of rRNA cleavage can vary, showing that even these key cellular processes (for which we expect high conservation) show some species-specific variability. We present our consensus MRP-RNA secondary structure as a useful model for further searches.
- Secondary Structure
- Promoter Element
- ITS1 Region
- Secondary Structure Model
- Consensus Secondary Structure
Pre-mRNA contains introns that are processed by the spliceosome (consisting of 5 snRNAs and ~200 proteins) [9–11] but there is also further processing such as the addition of the 5'-cap and 3' poly-A-tail . Although the capping and polyadenylation processes are not RNA-based reactions they do include some proteins found in the spliceosome . The snRNAs within the spliceosomal complex not only direct the binding and coordination of the splice sites but are also implicated in the catalysis of the splicing reactions . Some introns contain within them ncRNAs such as snoRNAs (involved in modification of rRNA, tRNA and snRNAs, reviewed in ) or miRNAs involved in the degradation of mRNA [15–17]. Similarly, pre-tRNA is processed by RNase P; a ribonucleoprotein consisting in eukaryotes of a single RNA and about 8–10 proteins . RNase P (abbreviated here as P) is found throughout eukaryotes and prokaryotes [18, 19], and thus may date back to the RNA-world [20, 21]. Pre-rRNA is heavily processed and the A3 site in the ITS region is cleaved by the ribonucleoprotein RNase MRP (abbreviated here as MRP) generating the mature 5.8S rRNA [22–25].
MRP (Mitochondrial RNA Processing) was originally identified as an RNA-protein endoribonuclease that processes RNA primers for DNA replication in the mitochondria . However, the majority of MRP (99%) is observed in the nucleolus where it is involved in pre-rRNA processing . MRP probably has other essential functions  including roles in chromosomal segregation  and control of cell division . Initial evolutionary studies (including ) only used MRPs from animals (13 mammals and frog), yeasts (20 Saccharomycetalian yeasts plus the fission yeast S. pombe) and plants (two dicotyledons). Although from the main multicellular groups, these sequences covered only a limited range within each group: land vertebrates within metazoans, Ascomycota within fungi, and the core eudicots within plants, leaving open the question whether MRP was present in the last common ancestor of eukaryotes .
In our earlier work it was concluded that the Hypothesis B was the most likely, that MRP had arisen within eukaryotes by a duplication of P, with subsequent specialization. The evidence against MRP coming from mitochondria (Hypothesis C) was that the secondary structure of MRP-RNA, as measured by RNA-shape metrics , was more similar to the eukaryote RNase P RNA than to the RNA from bacterial RNase P (the presumed source of the mitochondrial RNase P). Similarly, the apparent limited distribution of MRP in eukaryotes (at that time only in animals, fungi and plants) made it seem unlikely that MRP was present in the ancestral eukaryote. This left the duplication of P within eukaryotes (Hypothesis B) as the most likely. Two developments have changed our conclusions. Firstly, it now appears that the plant lineage and the fungi and animal lineage are widely separated on the eukaryote tree  and secondly, the recent characterisation of MRP in additional groups (as reported here and ) means that our initial conclusion must be reconsidered.
Piccinelli  recently extended the range of species from which MRP-RNA is characterised to include several protist species including apicomplexa. We have also used an MRP-search strategy to find candidate MRP-RNA sequences in other eukaryotic species. We have further examined MRP-RNA secondary structure and promoter regions from all known sequences to strengthen consensus models for MRP-RNA throughout eukaryotes. In the light of these results we discuss the presence of MRP in the last common ancestor of modern eukaryotes and re-examine its evolution and its relationship within the RNA-processing cascade throughout eukaryotic lineages. Because the deep divergences of eukaryotes is not known [30, 32], our strategy has been to find candidate RNAs in as many lineages as possible, thus making our conclusions independent of the precise rooting of the eukaryotic tree .
RNase MRP found throughout eukaryotes using specific search strategies
Our MRP-RNA candidates were checked against existing gene records and EST databases to support our bioinformatic approach. Of our new MRP-RNA candidates, two are found in EST databases: D. melanogaster [GenBank: CO153932] and Plasmodium yoelii [GenBank: BM161600 and GenBank: BM160961]. Validation of the MRP-RNA candidate from Cryptosporidium parvum with RT-PCR shows that this sequence is expressed in trophozoites (M. Irimia, data not shown). These Plasmodium and C. parvum results are particularly important because they show expression outside the animal, fungi and plant groups. In addition, five of our MRP-RNA sequences occur in Genbank records (excluding total sequence data): G. gallus [GenBank: AADN01006913], T. nigroviridis [GenBank: CAAE01012081], P. falciparum [GenBank: NC_004325] and P. yoelii [GenBank: AABL01002665]. That these do not overlap coding sequences is additional support for our computational approach. Interestingly, the candidate for the D. melanogaster MRP-RNA is on the negative strand of an intron in the Dmel_CG10365 gene [GenBank: AE014297], although the function of this gene is still unknown.
A single copy of the MRP-RNA gene was found in most species. However, the sea-urchin, Strongylocentrotus purpuratus, appears to have five closely related sequences, although some could turn out to be artefacts of the current assembly. Multiple MRP-RNA genes have been observed in plants . Humans  typically have a single true copy and a number of pseudogenes and studies of the MRP in the pufferfish Takifugu rubripes  indicate only a single copy in this species.
The characterisation of MRP across a wide range of eukaryotes indicates that the evolutionary relationship between MRP and P is ancient, and that both MRP and P are likely to have been present in the last common ancestor of modern eukaryotes. Although seemingly obvious, this distribution analysis importantly places MRP in the RNA-processing cascade present in the Eukaryotic Ancestor and further allows us to examine other characteristics of MRP and its relationship to other processes present in this ancient cascade.
Promoter analysis of candidate MRP-RNA sequences
With MRP the genes for proteins and for RNA are transcribed by different RNA polymerases; the protein genes by RNA Polymerase II, and the RNA by RNA Polymerase III (Type III promoter for U6 snRNA, 7SK and P-RNA; Type I for 5S rRNA,) [35, 39, 40]. RNA polymerase III transcription of MRP-RNA, P-RNA and U6 snRNAs has been characterised for some animal, plant and fungal species. Analysis of upstream regions of MRP-RNAs and the literature allowed us to analyse the promoter elements associated with RNA polymerase III transcription of MRP-RNA to determine if there was any conservation of its promoter elements.
Promoter comparisons show there can be differences in MRP-RNA promoter elements between some closely related species. For example in fish, the MRP-RNA promoter region for Takifugu previously described in  characterises a Staf promoter element (a binding site for the Staf transcriptional activator protein) in the DSE. We are unable to find any Staf-binding sequence in the other two fish MRP-RNAs. The Zebrafish and T. nigroviridis MRP-RNAs have potential SP1 binding sites, but as with the Takifugu, no Octamer sites could be determined. Mammals and chicken MRP-RNAs contain a similar arrangement of their MRP-RNA promoter elements. The frog MRP-RNA promoter regions have sequence motifs similar to mammals with a slightly different spacing between the elements within the DSE (the SP1 binding site is further upstream). Comparisons of six species of Drosophila (D. melanogaster, D. pseudoobscura, D. yakuba, D. mojavensis, D. virilis and D. ananassae) show a conserved PSE element (consensus sequence gcTTAtaATTCCCAAct) 23 nucleotides upstream of a TATA box (consensus sequence taaAta) which is about 16 nucleotides upstream of the transcription start site. The range of RNA polymerase III promoter structures and the lack of information about these promoter elements from protists make it difficult to identify promoter elements from protist MRP-RNA genes. Preliminary analyses of promoter regions from apicomplexa (Plasmodium and Cryptosporidium) indicate likely TATA boxes, but at this stage we cannot predict the presence of PSE or DSE elements. The AT richness of this region makes promoter prediction difficult until such time as we have more experimental information about promoters in apicomplexa. A table of promoter elements is available from the corresponding author upon request.
Secondary structure analysis of MRP-RNA
Details of the consensus MRP-RNA secondary structure are as follows. P3 nearly universally has two helices (P3a, P3b) separated by an internal loop; except for the absence of P3b in microsporidia and an additional P3c helix in Cryptosporidia, Dictyostelium discoideum, Anopheles and the nematode Brugia malayi. The P10 helix is often long, typically 20–40 nucleotides, but in extreme cases (Pezizomycotina and Cryptosporidia) over 200 nucleotides. P15/ymP7 is present in Saccharomycetes yeasts and some apicomplexa. ymP8 is present in S. pombe, all Saccharomycetes with known MRP-RNAs, and some Pezizomycotina yeasts. The distinction between ymP7 and ymP8 is not always clear (e.g. Coccidioides immitis). There are some species-specific divergences from our secondary structure model. P19 is absent from Ciona intestinalis and P6 is absent from microsporidia and D. discoideum. P6 is absent from Cryptosporidia in previously published secondary structures , but these sequences can have an alternative folding which includes the P6 helix.
The GARAR motif (R = A or G), recently noted by  and discussed by  is present in most species to date and is a defining feature of the P8 helix. It is usually in a pentaloop with an occasional deletion to a tetraloop (GARA) . The major variants of the motif are GARAR and GARA but others are possible including the fish Tetraodon nigroviridis (CAAAG), cabbage Brassica oleracea (GAGG), Babesia bovis (TAAAG) and Eimeria tenella (GCGAG). Cryptosporidia, Plasmodia, T. vaginalis and some ascomycete fungi do not appear to have the GARAR motif. The three basidiomycete fungi also have varied GARAR motifs; two species (Coprinus cinereus and Laccaria bicolor) have GAAAG as part of a bulge on P8. This region is suggested by  to be an MRP-specific region and thus will be important in the development of more MRP-specific search strategies. Another nearly universal motif is CR-IV (positioned 0–3 nucleotides before 3'P2). The sequence is AnAGUnA, the 'U' and the first 'A' sometimes being substituted. This motif is not recognisable in T. vaginalis and some Alveolata. In S. purpuratus (sea-urchin) the motif is in a non-standard position, overlapping and extending beyond P2.
The RNA cascade connects a number of RNA-based complexes where RNA is processing other RNA molecules. Figure 1 is a simplified model that shows the key processes and the main connections. Key processing complexes such as the spliceosome (snRNAs) , RNase P  and snoRNPs  are all seen as being ancestral to modern eukaryotes, even though details such as the intron recognition by the spliceosome  cannot yet be determined. The discovery of MRP across so many eukaryotes indicates that it was also part of this ancestral RNA-processing cascade. Given that MRP occurred so early in eukaryotes it is not surprising that MRP is now implicated in a number of other cellular processes (especially in well-studied species such as humans and yeast S. cerevisiae). As well as nuclear rRNA and mitochondrial primer cleavage functions, in S. cerevisiae at least, it has an additional function of promoting cell cycle progressing by cleaving CLB2 mRNA in its 5' UTR region at the end of mitosis [52, 53]. It is possible that other functions of MRP may be found, especially when other RNA-processing systems are investigated.
One main conclusion from this study is that, with the placement of MRP in the RNA-processing cascade of the Eukaryotic Ancestor, we see little change in basic RNA-processing throughout eukaryotes. Eukaryotes and prokaryotes have basic differences in their processing of their rRNA transcripts ; the main eukaryotic transcript contains ITS1 (between the 18S and 5.8S) and ITS2 (between the 5.8S and 28S) whereas prokaryotes generally have only an ITS1 with the 5'end of the prokaryotic 23S with strong homology to the eukaryotic 5.8S sequence  (Figure 4A). Thus we find the 5.8S rRNA, either cleaved as a separate subunit, or fused to the large rRNA subunit (no ITS2 present). Typically within eukaryotes we find the 5.8S rRNA cleaved but not in prokaryotes. There are exceptions for both, microsporidia do not appear to have an ITS2 [55, 56], and in prokaryotes RNase III cleaved IVS (intervening sequence) regions in α-proteobacteria have been found . RNase III, which is involved in cleaving the prokaryotic rRNA transcript has now been implicated in ITS1 processing in S. pombe . It is likely that the Eukaryotic Ancestor contained cleaved 5.8S rRNA, but we cannot yet determine if the last universal common ancestor (of eukaryotes and prokaryotes) contained a separate or fused 5.8S.
The cleavage of site A3 in the ITS1 region by MRP is similar to the cleavage of the tRNA in the bacterial system by P. However, we do not know whether the eukaryotic-type of RNA-processing cascade has evolved from the bacterial RNA-processing system. Bacteria, archaea and eukaryotes have probably changed their original RNA-processing cascade, each in their own evolutionary trajectory . Nor do we know whether the ancestral P had either a simplified bacterial-like form (with a single protein), or had multiple proteins (like eukaryotes) which have been reduced in prokaryotes to a single protein. One piece of evidence for this second hypothesis is that the human Rpp29 (pop4) protein, shared by P and MRP, acts as a cofactor for the E. coli P-RNA . We can no longer make the assumption that the prokaryotic models of RNase P and RNA-processing are ancestors of the eukaryotic complexes.
The high similarity of secondary structure between MRP and P  is indicative of an evolutionarily relationship, probably maintained by the sharing of numerous proteins between the MRP and P. However, it appears likely that P and MRP were already separate in the Eukaryotic Ancestor. The association of proteins with their respective MRP and P-RNAs may differ not only between P and MRP but may also vary between species . Thus much of the large similarity in secondary structure between sections of MRP and P-RNAs (e.g. the P3-region indicated in ) is likely due to the constraints placed on the RNA molecules by their interactions with their common proteins even if some proteins interact transiently in some species.
The GARAG motif is an interesting addition to the MRP-RNA secondary structure. This pentaloop (or sometimes tetraloop) is potentially a protein or RNA binding site, which would explain its conserved nature. GNRA tetraloop motifs are also found in bacterial P (Type B but not Type B), archaeal P (both Type A and Type M) and also possibly in the ep9 helix of P from the yeast S. cerevisiae . They are also common features of other ncRNAs. Identifying binding target sites for this motif in MRP may aid in understanding some of the differential protein binding . The new consensus secondary structure model gives information required for future search strategies. Computational analysis of ncRNAs often use secondary structure and highly conserved sequence motifs rather than complete ncRNA sequences . This model should allow more sophisticated MRP-RNA search algorithms to identify of MRP-RNA in additional eukaryotes.
The promoter region analysis indicates that RNA polymerase III is used throughout eukaryotes to transcribe MRP-RNA. It is interesting that there is such a range of promoter elements for MRP-RNA transcription and that the spacing between different elements appears critical in some species and not others. This may indicate that the regulation of MRP differs between groups of eukaryotes even for such an essential function as rRNA cleavage. There is little information about RNA polymerase III transcription in protists and the possible promoter regions are seldom reported when new ncRNAs are characterised.
Although MRP has been characterised in many eukaryotes, it has yet to be found in the nematodes C. elegans and C. briggsae, although complete genomes have been available for these species for several years. Similar exceptions are the protists Giardia lamblia and Entamoeba histolytica. However, MRP-RNA , was found in another nematode species Brugia malayi . P-RNA has only recently been published for C. elegans  and G. lamblia [31, 61] but even with all this new information we were still unable to find MRP-RNA in the above species. A recent survey for structured ncRNAs  based on comparative analysis of C. elegans and C. briggsae again did not result in a plausible MRP-RNA candidate. We have also not yet recovered any MRP-RNA from a G. lamblia RNA library (although we have recovered P-RNA) (S.X. Chen, data not shown). Nevertheless, in C. elegans, G. lamblia and E. histolytica the rRNA gene arrangement is generally the same as in other eukaryotes , although the ITS1 regions are very short in G. lamblia and E. histolytica . Short ITS1 regions are also found in other species with reduced genomes such as Trichomonas vaginalis and the microsporidian E. cuniculi both of which have had MRP-rRNAs . G. lamblia does not contain a nucleolus, but it is expected to contain a eukaryotic-like rRNA processing system due to the presence of many pre-rRNA processing proteins . Some proteins that are usually shared between P and MRP have also been found in G. lamblia . Two MRP-specific proteins (proteins not found in P, Smn1 and Rmp1)  have been characterised only in yeast and thus using MRP-specific proteins to indicate the presence of MRP, is not an option at this stage. The large evolutionary distance between Diplomonads and the only excavate from which MRP has previously been characterised (the Parabasalid, Trichomonas vaginalis ) means that MRP may be difficult to characterise in G. lamblia and even other excavates such as the Eugelenozoa (e.g. Trypanosoma brucei), using present techniques in computational analysis which rely heavily on sequence homology in the P4 region.
It is likely that the major protein and RNA components of the RNA processing cascade evolved before the Eukaryotic Ancestor (which is now seen to have come after the mitochondrial endosymbiosis ) It is interesting that MRP is still found in species that no longer contain mitochondria , but contain instead reduced organelles such as mitosomes or remnant mitochondria (apicomplexa and microsporidia) and hydrogenosomes (ciliates, parabasalids and some fungi) .
The RNA-processing cascade is now seen as a complex feature of the ancestral eukaryotic cell. Only when we understand which eukaryotic processes were in the Eukaryotic Ancestor we can then consider how they evolved.
We present the organisation of RNA-processing in eukaryotes as a cascade of RNA-based processing reactions cleaving or modifying other RNA molecules. The main components of this cascade are conserved throughout eukaryotes and are likely to have been present in the Eukaryotic ancestor. We can now place MRP in this cascade and thus basic RNA-processing has been preserved in eukaryotes. Analysis of MRP-RNA promoter regions suggest, however, that regulation of these critical processes differs between species showing that even these key cellular processes are showing some species-specific variability. Computational searches for ncRNAs are difficult due to the necessary incorporation of secondary structure as well as sequence information. Our consensus secondary structure for MRP-RNA provides a useful model for further search strategies.
Searching genomes for RNase MRP RNA
The conserved regions around the P4 pseudoknot are important for finding potential candidate MRP-RNAs. A genome is scanned for regions similar to the conserved sequences from known MRP-RNAs then candidates are evaluated for stereotypical secondary structure. Candidates with suitable secondary structure are evaluated for upstream promoter regions expected for a gene transcribed by RNA polymerase III, then blasted against EST databases  for any indication that the candidate is expressed.
In more detail, the algorithm allows the search of genome sequences for closely located sequences which match or nearly match the consensus 5'P4 and 3'P4 regions (taken to be gaaAGuCCCC and acnnnanGGGGCUnannnu respectively, paired bases in uppercase). We have three levels of search criteria. Using the tightest criteria, 5'P4 and 3'P4 can be separated by 120 to 280 bases and we allow just one deviation from the consensus (either a single substitution of an unpaired base, or a substitution of a Watson-Crick pair by another such pair). The second, slightly looser, search criteria allows 100 to 360 bases between 5'P4 and 3'P4, and two deviations from the consensus. The loosest criteria allows a 80 to 500 base separation of P4, and two deviations from the consensus or a single violation of the expected Watson-Crick pairings. Genomes are scanned with the tightest criteria first, then with subsequent relaxed criteria if the first scan fails to identify an MRP candidate with suitable secondary structure. The Perl programs used are available upon request.
Secondary structure analysis of MRP-RNA
Vertebrate  and yeast  secondary structures were obtained from the literature. For each new candidate sequence, we use RNAfold  and Mfold  to fold sequences of varying lengths prior to the 5'P4 region, to find a candidate P3 structure, and similarly the region prior to 3'P4 to find a candidate P9 structure. If successful, this identifies a small region to search for the P2 structure. Once these three structures are identified, the complete structure is easily obtained. If the number of candidates from the scanning stage is large, we use RNAmotif [61, 71] to filter out candidates that do not have suitable P2 and P3 helices (RNAmotif descriptor files are available on request). Where we have MRP candidates from closely related species, we refine our structures by comparing sequences with ClustalX  and DIALIGN , and comparing structures using a range of RNA comparison software (Alifold from the Vienna RNA package , RNAforester , RNAshapes  and RNAcast ).
Thanks to Manuel Irimia for RT-PCR experiments, and Sylvia (Xiaowei) Chen (Allan Wilson Centre) for results from the Giardia lamblia RNA library. Computational analysis was carried out using the Helix Parallel Processing Facility at Massey University. This work was funded by the New Zealand Marsden Fund, the New Zealand Centres of Research Excellence Fund and the Bioinformatics Initiative of the German DFG.
This article has been published as part of BMC Evolutionary Biology Volume 7 Supplement 1, 2007: First International Conference on Phylogenomics. The full contents of the supplement are available online at http://www.biomedcentral.com/bmcevolbiol/7?issue=S1.
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