Translation in Giant Viruses: A Unique Mixture of Bacterial and Eukaryotic Termination Schemes
Mimivirus and Megavirus are the best characterized representatives of an expanding new family of giant viruses infecting Acanthamoeba. Their most distinctive features, megabase-sized genomes carried in particles of size comparable to that of small bacteria, fill the gap between the viral and cellular worlds. These giant viruses are also uniquely equipped with genes coding for central components of the translation apparatus. The presence of those genes, thought to be hallmarks of cellular organisms, revived fundamental interrogations on the evolutionary origin of these viruses and the link they might have with the emergence of eukaryotes. In this work, we focused on the Mimivirus-encoded translation termination factor gene, the detailed primary structure of which was elucidated using computational and experimental approaches. We demonstrated that the translation of this protein proceeds through two internal stop codons via two distinct recoding events: a frameshift and a readthrough, the combined occurrence of which is unique to these viruses. Unexpectedly, the viral gene carries an autoregulatory mechanism exclusively encountered in bacterial termination factors, though the viral sequence is related to the eukaryotic/archaeal class-I release factors. This finding is a hint that the virally-encoded translation functions may not be strictly redundant with the one provided by the host. Lastly, the perplexing occurrence of a bacterial-like regulatory mechanism in a eukaryotic/archaeal homologous gene is yet another oddity brought about by the study of giant viruses.
Published in the journal:
. PLoS Genet 8(12): e32767. doi:10.1371/journal.pgen.1003122
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pgen.1003122
Summary
Mimivirus and Megavirus are the best characterized representatives of an expanding new family of giant viruses infecting Acanthamoeba. Their most distinctive features, megabase-sized genomes carried in particles of size comparable to that of small bacteria, fill the gap between the viral and cellular worlds. These giant viruses are also uniquely equipped with genes coding for central components of the translation apparatus. The presence of those genes, thought to be hallmarks of cellular organisms, revived fundamental interrogations on the evolutionary origin of these viruses and the link they might have with the emergence of eukaryotes. In this work, we focused on the Mimivirus-encoded translation termination factor gene, the detailed primary structure of which was elucidated using computational and experimental approaches. We demonstrated that the translation of this protein proceeds through two internal stop codons via two distinct recoding events: a frameshift and a readthrough, the combined occurrence of which is unique to these viruses. Unexpectedly, the viral gene carries an autoregulatory mechanism exclusively encountered in bacterial termination factors, though the viral sequence is related to the eukaryotic/archaeal class-I release factors. This finding is a hint that the virally-encoded translation functions may not be strictly redundant with the one provided by the host. Lastly, the perplexing occurrence of a bacterial-like regulatory mechanism in a eukaryotic/archaeal homologous gene is yet another oddity brought about by the study of giant viruses.
Introduction
The first giant virus, Mimivirus, was discovered ten years ago [1]. This double stranded DNA virus infecting amoebae of the Acanthamoeba genus exhibits a record-breaking particle more than 700 nm in diameter and a 1.2 Mb genome, larger than several cellular genomes [2]. Remarkably this virus possesses 1018 genes [3], i.e. twice the number of genes found in the bacteria Buchnera aphidicola [4], the archaea Nanoarchaeum equitans [5] or the eukaryotic endosymbiotically derived Hemiselmis andersenii nucleomorph [6]. Importantly several genes of this giant virus encode functions previously thought to be hallmarks of the cellular world, the most striking being central components of the translation machinery. For instance the Mimivirus genome encodes 4 different aminoacyl-tRNA synthetases that specifically attach amino acids to their cognate tRNAs. Transcriptome analyses showed that these genes are expressed in a regulated manner during the viral replication cycle [7], thus making them unlikely to be pseudogenes. Moreover functional and structural studies of the Mimivirus Methionyl- and Tyrosyl-tRNA synthetases proved that they are genuine functional enzymes [8]. However, the loop involved in the recognition of the tRNA anticodon by the Tyrosyl-tRNA synthetase is shorter in Mimivirus, suggesting that only two bases are recognized rather than three in the cellular enzymes [8]. So not only do giant viruses' genomes encode unexpected genes, but these genes are clearly different from their known cellular counterparts, ruling out a simple horizontal gene transfer (HGT). Collectively these elements fuelled the debate on the origin of giant viruses, on their living or nonliving condition [9], [10], and whether they belong to a 4th domain of life as some authors even claimed [11], [12].
Two main scenarios can explain the presence of cell-specific genes in a virus. On the one hand this can be due to massive horizontal gene transfers between the host (or its intracellular parasites) and the virus [13]. On the other hand this could be the result of the reductive evolution of an ancient more complex cellular ancestor [14]. Our recent discovery of Megavirus, a new giant virus relative of Mimivirus shed some light on these fundamental issues. Megavirus has a larger capsid, longer genome and wider gene content than Mimivirus or any other characterized virus to date [15]. Importantly, all the Mimivirus genes involved in translation have an ortholog in Megavirus. Furthermore three additional aminoacyl-tRNA synthetases were found in this new giant virus. It then becomes very unlikely that the translation-related genes found in the Mimivirus and Megavirus genomes were acquired by HGT. A more parsimonious scenario is simply that these genes were already present in the common ancestor of Mimivirus and Megavirus, leading to the hypothesis that this ancestor was endowed with an even more complete translation apparatus, inherited from an ancestral cellular organism [12], [16]. We reasoned that further studying other giant virus-encoded translation components might provide additional insights on the nature of this ancestor.
Translation of messenger RNAs into proteins is a complex and multistep process. It involves three major stages: initiation, elongation and termination. It is noteworthy that Mimivirus and Megavirus encode 5 orthologous genes, in addition to the aminoacyl-tRNA synthetases, that are involved in these three phases [2], [15]. This suggests that a tight control of the translation process is required for the optimal progress of the virus replication cycle, and that the virally-encoded factors function in a way that cannot be assumed by their cellular counterparts. Each of the above steps is essential for optimal protein synthesis. Accurate termination for instance allows correct decoding of the mRNA, as well as promotes the proper dissociation and recycling of the ribosomes. Two functional classes of release factors (RFs) mediate translation termination (summarized in Table S1). The class-I RF recognizes the stop codon located in the ribosomal A-site and then releases the polypeptide chain, assisted by the class-II GTPase RF. There are two class-I RFs in bacteria, RF1 which recognizes UAA/UAG stop codons, and RF2 which recognizes UAA/UGA stop codons. In eukaryotes and archaea, there is a single omnipotent class-I RF called eRF1 and aRF1 respectively, capable of recognizing all three stop codons. Whereas eRF1 and aRF1 share conserved sequence motifs and are functionally and structurally related, they are highly divergent in sequence and structure from the bacterial RF1/RF2 [17], [18], with the exception of a uniquely conserved GGQ motif. The class-II GTPase RFs, called RF3 in bacteria and eRF3 in eukaryotes are also unrelated, and do not exhibit sequence similarity apart from their GTPase domain [19]. In addition, eRF3 is an essential gene in eukaryotes while RF3 is lacking in some bacterial lineages [20]. They also function differently: whereas eRF3 and eRF1 physically interact to release the peptide [21], RF3 interacts with the ribosome to remove RF1/RF2 from the A site [22]. Finally, although the eukaryotic eRF1 and the archaeal aRF1 class-I RFs are closely related, no obvious eRF3 class-II ortholog could be found in archaeal genomes. This has been puzzling for a long time until the discovery that the omnipotent archaeal elongation factor 1 α (aEF1α) is able to bind aRF1 and functions as a class-II RF [23], [24]. In summary, although the function of RFs is as universal as the stop codons, the proteins involved in the termination of translation are clearly different between bacteria on the one hand, and eukaryotes and archaea on the other.
Translation termination is globally highly accurate but occasionally leads to unfaithful decoding of the gene sequence. Mis-terminations of polypeptide, the so-called translational recoding events, are of two types: the “stop codon readthroughs” and the frameshifts [25]. Readthroughs are caused by the binding of an aminoacyl-tRNA in lieu of a release factor when the ribosome encounters the stop codon. This leads to translation proceeding in the same frame upstream and downstream of the stop codon. A near-cognate tRNA such as the glutamine tRNA (close to the UAG stop codon) or the tryptophan tRNA (close to the UGA stop codon) can be incorporated [26]. Alternatively a cognate but non-standard tRNA can be involved, for instance the tRNA suppressors [27] and the selenocysteine tRNAs [28]. The other type of error, translational frameshift, is caused by a leap of one or two nucleotides leading to the pursuit of translation, albeit in a different reading frame. The occurrence of such mis-terminations can be programmed to act as a powerful regulatory mechanism. One of the most elegant genetic switches involves a programmed translational frameshift in the bacterial RF2 class-I RF [29]. In 70% of surveyed bacteria, RF2 appears to be composed of two partially overlapping open reading frames (ORFs) [30]. The first ORF terminates by a UGA stop codon, immediately followed by a second ORF (in a +1 frame) encoding the rest of the protein. When functional RF2 is plentiful, a high proportion of ribosomes terminates at UGA to synthesize a short non-functional N-terminal RF2 peptide. Since full-length RF2 is then in limited amount, the normal processing of the UGA stop codon (peptide release) is stalled, enhancing the probability of a frame shift, and thereby favoring the translation of a complete functional RF2 protein. This negative feedback loop, exclusively found in the bacterial RF, can thus buffer RF2 concentration and enable subtle controlling of translation termination [29], [31].
In this study, we started from the discovery that the class-I translation RFs homologs present in the Mimivirus (R726 gene) and Megavirus (mg280 gene) giant viruses had been wrongly annotated. We then established the correct structure of these genes by predicting a unique combination of two recoding events: a readthrough and a frameshift, shared by both viral genes. Further computational analyses as well as several lines of experimental evidences validated the new gene structure and the recoding events, which can thus act as autoregulatory elements. Unexpectedly, these viral class-I RF homologs uniquely combine regulatory features specific to the bacterial domain with a clear sequence resemblance with class-I RFs of the eukaryotic and archaeal types. Once again this raises the question of the origin and evolution of the translation components found in giant viruses.
Results
Gene structure of the Mimivirus/Megavirus peptide chain release factors
Mimivirus R726 gene is annotated as a class-I peptide chain release factor. According to previously published transcriptomic data [7] its 5′UTR is 640 nt long, which makes it the longest 5′UTR among the 979 Mimivirus protein-coding genes. R726 5′UTR length is 20.5 standard deviations above the average of 12.5 nt. This anomalous 5′UTR length prompted us to reexamine the initial annotation of R726.
Predictions of unusually large 5′ UTR (see Figure 1A) most often arise from mistakes in the definition of the transcript boundaries, in this case however, several elements argue against such an explanation. First, known transcriptional regulatory elements flank the predicted transcript while none were found inside it (Figure 1B). Furthermore, our 454 RNA-seq data (from [7]) covered the entire R726 transcript and thus supported the annotation (see Figure 1C). The incorporation of 5′ and 3′ specific tags at the extremities of the cDNAs allowed us to precisely map transcriptional start sites (TSS) and transcriptional end sites (TES) (see [7] for details). Figure 1C again shows that R726 TSS and TES coincide with the annotated transcript boundaries. Finally, an independent and strand-specific dataset from total RNA sequenced on the SOLiD plateform (from [3]) confirmed the transcript boundaries as well (Figure 1D). Altogether these results indicate that the R726 transcript annotation is correct.
A second possibility is that the abnormally long 5′UTR arose from an error in the prediction of the R726 protein sequence. For instance, an upstream methionine codon could constitute the actual translation initiation. We explored this possibility by searching for R726 homologous sequences in the UniProtKB/Swiss-Prot database using the blast program and the R726 genomic sequence as a query. The 10 best matching proteins (with an E-value<1e−27) are shown in Figure 1E. Two findings emerged from this test. First, the sequence similarity at the protein level was clearly not restricted to the annotated coding region but covered the entire R726 transcript sequence. Second, the alignments of the matching proteins were systematically split between two alternative frames. This suggested that the actual R726 coding region started upstream of the bioinformatic prediction and involved a frameshift. Potential start and stop codons in the three frames are shown in Figure 1F, as well as the most parsimonious path to encode a protein more fully homologous to the other release factors. This resulted into a new gene model (see Figure 1G) encoding a full-length protein via two recoding events: a readthrough of the first encountered stop codon in the 5′ ORF, and a frameshift at the next downstream stop codon.
To eliminate the trivial possibility that these two stop codons were due to errors in the R726 gene sequence, we first re-sequenced the R726 genomic region using traditional Sanger sequencing. In addition we exploited our very high coverage SOLiD re-sequencing of Mimivirus genomic DNA (from [3]). The R726 genomic sequence was found to be identical in both cases (Figure S1), including the predicted readthrough and frameshift stop codons.
We then examined the more remote possibility that the mRNA sequence could differ from the genomic sequence following RNA editing. For this we first sequenced R726 cDNAs using Sanger sequencing (see Figure S1). In addition, we mapped the RNA-seq data from two independent experiments from polyadenylated [7] and total RNA [3] to the R726 genomic region. Figure S1 clearly shows that the R726 transcript sequence is identical to the genomic sequence. Therefore the two stop codons must be present at the mRNA level.
An alternative explanation for the odd R726 coding sequence could be that the Mimivirus gene is a pseudogene. However, the two previously described RNA-seq datasets (from [7] and [3]) consistently ranked R726 as one of the most expressed Mimivirus genes during the replication cycle. Indeed R726 is in the highest quartile of total gene expression (Figure S2). Furthermore, the R726 ortholog in the Megavirus genome (mg280) presents exactly the same gene structure pattern (see Figure 2A), that is first a readthrough followed by a downstream frameshift in the 5′ region of the gene. It is worth noting that the readthrough stop codon (UGA) is strictly conserved between the two viruses, while the Mimivirus UAG frameshift stop codon is substituted by a UAA stop codon in Megavirus. Once reconstructed, the full-length protein sequence from Mimivirus (R726) and Megavirus (mg280) exhibited 47% of identical residues, a percentage comparable to the average sequence similarity of the Mimivirus/Megavirus orthologous protein pairs [15]. The fact that the stop codons and the recoding pattern are conserved between R726 and mg280 despite their level of sequence divergence, strongly suggests that they are translated as predicted here and function as proteins. Furthermore, as Mimivirus and Megavirus only share 50% of their genes [15], it would be unlikely for these two orthologous ORFs to be conserved if they were in fact pseudogenes.
A readthrough recoding event in the Mimivirus class-I RF
According to our hypothesis, the production of a functional R726 protein requires translation to occasionally proceed beyond the readthrough stop. We thus examined whether this stop codon was likely to be read through. A crucial factor for readthrough to occur is not the stop codon sequence per se (UAA, UAG or UGA) but rather the sequence context around it. For instance the first nucleotide downstream of the stop codon is known to be the strongest determinant of readthrough efficiency [32]. We thus compared the tetranucleotides composing Mimivirus and Megavirus readthrough stop codons with available experimental data of readthrough efficiency measurements in eukaryotes (S. cerevisiae in [32]). As shown in Figure 2A and Figure 2B, the UGA-C tetranucleotide of Mimivirus and Megavirus readthrough stop codons is very efficiently read through, i.e. it is a weak terminator. Conversely the two tetranucleotides encompassing the genuine 3′ stop codons (UAA-U in Mimivirus and UAA-A in Megavirus) are not favorable to readthrough. If UAA-U and UAA-A really efficiently terminate polypeptide chains while UGA-C promotes frequent readthrough in giant viruses, the Mimivirus and Megavirus stop codons should exhibit a tetranucleotide usage reflecting this bias. As expected, Figure 2C shows that the tetranucleotides of R726 and mg280 genuine stops are among the most frequently used whereas the tetranucleotide of the readthrough stop is very rarely used.
We then went on the experimental confirmation that the Mimivirus R726 first stop can be read through. Since no usable system for protein expression in the Mimivirus host (Acanthamoeba castellanii) is currently available, we used Escherichia coli as expression host. We reasoned that the occurrence of such recoding events in this organism makes the demonstration possible [33]. Furthermore, the strength of the termination in E. coli depends on sequences that are similar to the ones in eukaryotes [32], [34]–[36]. We thus first cloned the full-length gene, i.e. containing the readthrough stop and the frameshift stop, into a modified pET vector in frame with an N-terminal 6×His-SUMO tag (Figure 3A, R726 WT construct). We then performed site-directed mutagenesis to get rid of the frameshift stop by removing the first nucleotide of the UAG stop codon to create a +1 translational frameshift. The resulting construct (R726 FS mutant) corresponds to the R726 gene containing only the readthrough stop, in frame with a 6×His-SUMO tag (Figure 3A). The R726 FS mutant was then transformed in E. coli for protein expression. The proteins were purified by Nickel affinity chromatography and the elution fraction was analyzed by western blot using antibodies raised against the 6×His tag of the potentially produced proteins. The western blot revealed two bands running around 20 KDa and 60 KDa (Figure 3B and Figure S3A), possibly corresponding to the expected protein products from the R726 FS construct: a short peptide ending at the readthrough stop (Figure 3A, P1) and a full-length protein product resulting from the readthrough of this first stop codon (Figure 3A, P3). We incubated the elution fraction with the Prescission protease which should cleave the two products if they include the 6×His-SUMO tag. As expected, the 20 KDa and the 60 KDa proteins were no longer detected after cleavage showing that they correspond to the P1 and P3 predicted R726 gene products. In addition, the double mutant construct lacking the two stop codons (Figure 3A, R726 DM construct) corresponding to the R726 full-length product and the 60 KDa product migrate at the same position on the gel. These results demonstrate that in E. coli readthrough can occur at the first stop of the Mimivirus R726 gene.
We then investigated which amino-acid was incorporated at the first R726 stop codon. In some organisms the UGA stop codon, such as the R726 and mg280 readthrough stops, leads to the incorporation of a selenocysteine (Sec). We failed to identify Sec tRNAs in the Mimivirus and Megavirus genomes. However, we found that the A. castellanii genome encodes a highly expressed Sec tRNA (see Figure S4 and Figure S5). Similarly, the protein machinery required for Sec insertion is lacking from the Mimivirus and Megavirus genomes but is present in A. castellanii (see Table S2). Finally, we looked for genes targeted by the Sec incorporation machinery based on the presence of a specific Sec insertion sequence (SECIS) element. SECIS elements were indeed found in the 3′UTR of A. castellanii genes encoding homologs to known selenoproteins (see Table S3), and correlating with the presence of UGA stop codons. By contrast, SECIS elements were found neither in Mimivirus genes encoding homologs to known selenoproteins nor in the R726 gene. Taken together these results suggest that selenocysteine incorporation occurs in A. castellanii but not in Mimivirus.
As no cognate tRNA decodes the first R726 stop codon we searched for natural near-cognate tRNAs. Among the only two types of tRNAs shared by Mimivirus and Megavirus (leucine and tryptophan), tryptophan tRNAs (Trp-tRNAs) was previously shown to recognize UGA stop codons [37], [38]. Furthermore, Mimivirus Trp-tRNA is one of the most expressed tRNAs from the Mimivirus/A. castellanii system (see Figure S5). Interestingly, Mimivirus (and Megavirus) Trp-tRNA exhibits an adenine in the D arm that is similar to the mutation in the well-studied Hirsh suppressor (see Figure S6) [39]. This E. coli tRNA derived from a Trp-tRNA recognizes UGA stop codons through a G-to-A mutation in the D arm. Given these congruent elements, we hypothesized that tryptophan is the most likely amino acid to be incorporated at the readthrough stop in Mimivirus and Megavirus class-I RFs.
A frameshift recoding event in the Mimivirus class-I RF
We predict that once the ribosome proceeds beyond the readthrough stop, a frameshift should occur at the downstream stop to produce a functional class-I RF in Mimivirus and Megavirus. Similarly to readthrough recoding events, the frequency of ribosomal frameshifting is highly dependent on the surrounding sequences. Again, it has been shown that the first base downstream of the stop codon is correlated with the frequency of frameshifting [34]. Therefore, we compared the tetranucleotides at both Mimivirus and Megavirus frameshift stops with experimentally determined translational frameshifting efficiency in eukaryotes (S. cerevisiae from [36]). Figure 2A and Figure 2D show that the Mimivirus frameshift stop tetranucleotide (UAG-C) and the Megavirus one (UAA-C) are amongst the most efficient frameshifting inducers. By contrast, frameshifting frequency is low at the genuine stops (UAA-U in Mimivirus and UAA-A in Megavirus). The tetranucleotide usage in Mimivirus genes stop codons strengthens this observation. As shown in Figure 2C, UAG-C is used at a rate of less than 1% as a translation termination signal in Mimivirus, whereas UAA-U is the most frequently used tetranucleotide (more than 30%). We observed the same trend in Megavirus (Figure 2C). In addition the full “CUU UAG C” motif in Mimivirus and “CUU UAA C” in Megavirus are similar to the conserved “CUU UGA C” shifting motif found in the bacterial RF2 programmed frameshift [30]. Collectively these results support the occurrence of frameshifting recoding events in R726 and mg280.
To experimentally address whether the second stop codon in R726 is prone to frameshifting, we performed site-directed mutagenesis on the wild-type gene to get rid of the readthrough stop. The R726 readthrough stop was thus replaced by a tryptophan, resulting in a construct containing a 6×His-SUMO tag in frame with the 5′ part of the R726 gene (Figure 3A, R726 RT mutant). There are two protein products expected from this construct: a small protein that ends at the frameshift stop (Figure 3A, P2) and a full-length protein resulting from a frameshift recoding event at this locus (Figure 3A, P3). The plasmid was transformed in E. coli for protein expression. The proteins were then purified by Nickel affinity chromatography and the elution fraction was analyzed by SDS-PAGE and western blotting. The western blot revealed the two expected bands, one corresponding to a 25–30 KDa protein and a second band around 60 KDa (Figure 3C and Figure S3B). We thus incubated the elution fraction with the Prescission protease and, as expected, the two bands disappeared, supporting that they correspond to the P2 and P3 protein products, respectively. Moreover, the 60 KDa band was detectable on a Coomassie blue stained gel (Figure S3B), which allowed us to analyze it by mass spectrometry. We demonstrated without ambiguity (E-value = 9.4e−17) that it corresponded to the full-length 6×His-SUMO R726 protein. The identified peptides covered 58% of the full-length protein, from its N-terminal to its extreme C-terminal (Figure S7). This result clearly shows that +1 translational frameshifting can occur at the R726 second stop in E. coli.
At this point we experimentally demonstrated that translation can proceed beyond the two stop codons independently (the readthrough stop and the frameshift stop). Finally, the wild-type gene was expressed to verify whether its translation would result in the predicted full-length R726 protein. The purified product was analyzed by western blot (Figure 3D and Figure S3C) and revealed the three expected bands: one highly expressed of 20 KDa, one in the 25–30 KDa range and the 60 KDa full-length protein. Prescission digest of the purified fraction showed that the three bands correspond to the P1, P2 and P3 protein products, respectively. Altogether these results demonstrate that a full-length R726 protein can be produced from the wild-type Mimivirus gene.
A new type of class-I RF
We showed that the R726 Mimivirus gene is able to bypass its two internal stop codons and produce a full-length protein, although it remains to be verified whether this protein is a genuine peptide chain release factor. Homology searches using the blast program against the UniProtKB/Swiss-Prot database identified class-I RFs from eukaryotes (best E-value = 8e−25) and archaea (best E-value = 1e−25) as the best matches to the R726 protein sequence. In contrast, no significant match was detected with any of the bacterial RFs (neither RF1 nor RF2).
We then examined the R726 sequence for the presence of key functional elements previously described in the eRF1/aRF1 peptide chain release factors. Figure 4A displays a multiple alignment of R726 and mg280 with representative sequences from eukaryotes and archaea class-I RFs. First, this alignment shows that the giant viruses and the eukaryote/archaea proteins are globally well conserved. Two conserved regions in the N-terminal part of the class-I RFs are well-known to be involved in the recognition of the stop codon. Those are the (TAS)NIKS motif (Figure 4A, red box) [40] and the YxCxxxF motif (black box) [41]. These crucial elements are conserved in the Mimivirus and Megavirus homologs. In addition, the peptidyl-tRNA hydrolysase activity of the class-I RFs requires a universally conserved GGQ motif in the middle of the protein [17]. Again, this essential motif is present in the Mimivirus and Megavirus homologs (Figure 4A, green box). The interaction of class-I RF with class-II RF (in eukaryotes) or aEF1α (in archaea), involves amino acids located in the C-terminal part of eRF1/aRF1. The blue boxes (Figure 4A) highlight the regions of known interacting residues in eukaryotes [21] and archaea [24]. The GILRY motif (Figure 4A, yellow box) is also known to mediate the interaction between eRF1 and eRF3 [42]. These regions, although less conserved than the N-terminal part of the protein, also exhibit residues that are found in Mimivirus and Megavirus as well. In contrast, none of the essential functional motifs present in the bacterial class-I RFs (see [43] for review) are found in R726 and mg280, with the exception of the GGQ motif. We can thus conclude that R726 has all the sequence hallmarks of a genuine class-I RF of the eukaryotic/archaeal type.
Even though eRF1, aRF1 and R726/mg280 are globally well conserved, the giant viruses' RFs exhibit specific elements (Figure 4A). For instance there is an insertion in the N-terminal part of the protein, as well as a large deletion in the C-terminal domain, partially overlapping a previously identified deletion in Aeropyrum pernix [24]. Mimivirus and Megavirus sequences are clearly the most divergent sequences of the alignment. This visual impression was objectively confirmed by reconstructing the phylogeny of these class-I RFs, using the Phylobayes software with the CAT mixture model [44]. This method was used as it is known to better fit the phylogenetic signal present in giant viruses' genes than traditional evolutionary models [45]. The tree in Figure 4B exhibits a tight grouping of the eukaryotic sequences within one branch, a tight grouping of the archaeal sequences within a second branch, and a third branch consisting of the Mimivirus and Megavirus homologs. Other Bayesian and maximum likelihood methods supported the same three-pronged tree topology with the exception of a deeper branching of an A. castellanii paralog (Figure S8). This paralog does not contain internal stop codons similarly to the other eukaryotic class-I RFs. Hence R726 and mg280 are representative sequences of a new type of class-I RF.
We previously showed that the R726 transcript was strongly expressed. The timing of its expression and the interplay with host's genes is illustrated in Figure 4C. Both A. castellanii genes, the canonical eRF1 and the paralog, see their expression slowly decreasing along the viral replication cycle. In contrast, the expression of the Mimivirus homolog clearly raises in an opposite manner. This negative correlation suggests that the expression of the Mimivirus class-I RF compensates for the decline of the host RF.
Discussion
An apparent anomaly in the annotation of the predicted Mimivirus class-I release factor homolog led us to investigate in more details its transcript structure. This resulted in the hypothesis that Mimivirus possesses an intricate translation termination process involving the recoding of two stop codons. A similar gene structure in Megavirus strengthens this prediction that was then verified experimentally. To our knowledge such a combined occurrence of a frameshift and a readthrough in the coding sequence of a class-I RF has never been reported in any lineage in the tree of life. Surprisingly, although the sequences of the Mimivirus and Megavirus class-I RF homologs show close proximity with the eukaryotic/archaeal peptide chains release factors, they incorporate an autoregulatory mechanism only found in bacterial class-I RFs. As a central component of the translation apparatus, RFs are not found in viruses with the exception of the two recently described unclassified nucleocytoplasmic large DNA viruses: Marseillevirus [46] and Lausannevirus [47]. However these genes do not contain internal stop codons and are likely recent HGT from their cellular host (see Figure S9).
An increasing number of studies support the idea that giant viruses have ancient origins, possibly predating the radiation of eukaryotes [2], [11], [12], [16], [48], [49]. The phylogenetic reconstruction of the Mimivirus and Megavirus RFs genes, deeply branching at the root of eukaryotes and archaea, is consistent with this view (see Figure 4B). Furthermore since Mimivirus/Megavirus RFs bear no clear phylogenetic affinity with any extant cellular homolog, acquisition by recent HGT is very unlikely. Thus, as for other translation components found in giant viruses, the Mimivirus and Megavirus RFs could originate from an ancestral genome encoding a complete translation system [8], [15], [16].
According to the current dogma, eukaryotes derived from the archaeal/bacterial domains, therefore one can hypothesize that the giant viruses' release factors regulatory mechanism could have been inherited from their prokaryotic ancestor. This is consistent with the fact that only bacterial RFs are known to exhibit a shifting motif analogous to the one we detected in Mimivirus/Megavirus RFs. Furthermore the only identified recoding event in Mimivirus and Megavirus corresponds to the RF gene, out of the more than 1000 genes encoded by each viral genome. Finally, this unusual recoding event is surprisingly present in the functional homolog to one of the rare bacterial gene exhibiting the same regulatory trick. It is thus tempting to speculate that the cenancestor possessed this regulatory element that was kept in the bacterial and Mimivirus/Megavirus lineages, but lost in the other lineages (eukaryotes and archaea). Nevertheless, this scenario is impossible to prove in the apparent absence of sufficient sequence/structural similarity between the bacterial RF genes and the eukaryotic/archaeal RF genes [17], [18].
The alternative hypothesis involves the reinvention of a similar regulatory feature in the giant viruses' lineage. This would be a nice example of convergent evolution that could have occurred before the divergence of Mimivirus and Megavirus. The multiple invention of the termination factor frameshifting mechanism in different bacterial lineages has been proposed previously [30]. Finally, the regulatory mechanism might also have been present in the ancestor of giant viruses, archaea and eukaryotes but subsequently lost in the two cellular lineages, and perhaps substituted by other more complex regulatory mechanisms.
Effective translation termination requires the interaction of the class-I RF with a GTPase class-II RF (eRF3) in eukaryotes, or a GTPase elongation factor (aEF1α) in archaea, through the C-terminal domain [23], [24]. We showed that the Mimivirus R726 and Megavirus mg280 genes are likely to be class-I RFs of the eukaryotic/archaeal type although they constitute a new separate clade (Figure 4B). They could thus also interact with a translational GTPase, among which the host's eRF3 is a candidate. Such a subtle host-pathogen interaction should be supported by an enhanced similarity of the viral C-terminal class-I RF with the host protein. This is clearly not the case (see Figure 4A), which makes this interaction uncertain. Alternatively the giant viruses could encode their own class-II RF, making them autonomous for the translation termination function. There is no evidence of such class-II RF homologs in Mimivirus and Megavirus genomes, but the interacting protein could be one of the numerous genes of unknown function shared by the two viruses [15]. Another possibility would be that the giant viruses follow the archaeal model and recruit a pluripotent translation GTPase factor [24] encoded in their genome. The Mimivirus R624 gene could be this pluripotent interacting partner as it is annotated as a translation elongation factor, and it shares significant sequence similarity with the eukaryotic eRF3 and the archaeal aEF1α (best E-values<1e−10) proteins referenced in the trGTPbase (http://www.GTPbase.org.uk). However R624 was shown to be related to the GBP-1 subfamily of GTPases [11], which is consistent with our phylogenetic reconstruction (Figure S10). The function of GBP-1 is still vague, but it seems to be related to protein synthesis [50] and mRNA surveillance [51]. Finally, one cannot rule out the possibility that the giant viruses' class-I RFs have no class-II RFs interacting partners as is the case in many groups of bacteria [20], which would further highlight the hybrid bacterial/eukaryotic nature of giant viruses RFs. This last hypothesis is reinforced by previous studies reporting that mutations in the TASNIKS stop codon recognition motif abolish the eRF3 requirement for peptide release at the UAA and UAG stop codons [31], [52]. Since Mimivirus and Megavirus contain motifs that are not strictly identical to this consensus motif, the class-II RF might thus be dispensable for translation termination.
The programmed frameshift in the bacterial RF2 induces an autoregulatory feedback loop that maintains a constant production of termination factor [31]. It has been proposed that such a mechanism primarily aims to prevent excessive RF2 protein concentration which limits false recognition of tryptophan UGG codons as stops [31]. The two internal stop codons in giant viruses' RFs likely induce an even stronger buffering of protein overexpression. The R726 transcript expression appears to compensate for the host class-I RF expression decline, at least during the late phase of infection (Figure 4C). Translation termination function might thus rely on the viral enzyme, and its tight regulation at the translation step is needed to maintain a low yet constant amount of viral termination factor. The strong regulation might be a way to control viral genes that contain stop codons prone to frequent translational frameshifts and readthroughs (Figure 2) and thus produce alternative protein variants. The RF concentration leverage would then directly regulate their final product length. However, we did not find evidence for such regulated genes in the Mimivirus and Megavirus genomes. Beyond this speculative hypothesis, it is clear that the virally-encoded RFs are not strictly functionally redundant to the one provided by the host. Future experimental studies will help to understand how giant viruses rely on their own encoded translation factors, as well as the functional role of such a complex system for translation termination regulation.
In addition to their enormous particle and genome size, and the presence of numerous translation components [2], [15], the unique combined occurrence of both a frameshift and a readthrough in a translation termination factor is yet another oddity brought about by the study of giant viruses.
Materials and Methods
A. castellanii genome assembly and annotation
The A. castellanii genome assembly (available at http://www.hgsc.bcm.tmc.edu/microbial-detail.xsp?project_id=163) is composed of 54,947 contigs (18,936 scaffolds). We used this basis to perform a complete re-assembly of the genome using all available sequence data. We gathered A. castellanii genomic DNA sequences from the NCBI trace archive. The complete dataset was composed of 689,389 Sanger reads and 10,556,721 454 reads. We performed a hybrid assembly using the Arachne [53] and Phrap (P. Green, http://www.phrap.org) assemblers. We finally obtained a 44 Mb A. castellanii genome assembly composed of 549 contigs (ranging from 3,412 nt to 1,183,386 nt) with a N50 of 17,363 nt. We subsequently performed the genome annotation using the Augustus gene prediction algorithm [54] incorporating gene expression data and protein homology evidences. The complete proteome of Dictyostelium pupureum and Dictyostelium discoideum, as well as the UniProtKB/Swiss-Prot database, were aligned to the A. castellanii genome using exonerate with the protein2genome model [55]. The same program was also used with the est2genome model to map all available A. castellanii ESTs from [7], from http://www.hgsc.bcm.tmc.edu/microbial-detail.xsp?project_id=163 and from Genbank, to the A. castellanii genome. All together these data allowed Augustus to predict 14,343 protein-coding genes. A total of 491 tRNAs was also predicted using the tRNAscan-SE program [56].
Selenocysteine analyses
Proteins homologous to known selenoproteins and components of the selenocysteine incorporation machinery were searched using the HMMer program (http://www.hmmer.org) with HMM profiles from [57], against the A. castellanii and Mimivirus proteomes. SECIS elements were searched using the SECISearch program [58].
Protein multiple alignments and phylogenies
All protein multiple alignments were performed using the MAFFT algorithm [59] with the L-INS-I parameter. Phylogeny reconstructions were done using the three following methods. We used the maximum likelihood package PhyML [60] with the WAG model and 100 bootstrap replicates. We also used the MrBayes software [61] with the PhyML tree as a starting tree and a Γ distributed rate model. The algorithm was run for 1,000,000 generations, the first 2,500 of which were disregarded and trees were sampled every 100 generations. Finally the phylogeny reported in Figure 3B was performed using the PhyloBayes algorithm [62] with a C60 mixture model and a burnin parameter of 1/5 of the length of the chain. Two chains were run in parallel and the stopping criterions were: discrepancies <0.3 and effective sizes >50.
Transcriptome analyses
454 RNA-seq sequences of Mimivirus polyadenylated RNAs were used from [7]. RNA-seq data of total RNA from the Mimivirus/A. castellanii system were used from [3]. The reads sequenced by the SOLiD technology were mapped to the Mimivirus and A. castellanii genomes using the TopHat software [63] as a first pass. We mapped the reads in color space using the following parameters: max-multihits = 1, min-intron-length = 20 and max-intron-length = 2000. We then re-aligned the unmapped reads using the Bfast software [64] in color space with a minimum normalized score of 35. Subsequently we used the Mimivirus and A. castellanii protein-coding and tRNA gene annotations (see above) to calculate gene expression levels. For each time point, that is 0, 1 h, 2 h, 3 h, 4 h, 5 h, 6 h, 7 h and 11 h post-infection, we converted RNA-seq exonic reads density to the standard measurement of reads per Kb per million reads (RPKM) as described in [65].
Plasmid construction and site-directed mutagenesis
The full-length R726 gene was amplified from Mimivirus genomic DNA using specific primers flanked by SacI and NotI restriction sites. The PCR product was inserted into an in-house modified pET28 plasmid to yield a N-terminally removable His-SUMO tagged protein.
Site-directed mutagenesis of the two stop codons was performed using the QuickChange kit (Stratagene) to replace the readthrough stop by a tryptophan and/or to get rid of the frameshift stop by creating a +1 translational frameshift. The 4 plasmids containing the wild-type gene, the readthrough stop mutant, the frameshift mutant, or the double mutant, were verified by sequencing.
Protein expression and purification
The resulting vectors were transformed into Rosetta strain (Novagen). Cells were grown into 2YT medium containing 100 µg.mL−1 ampicillin and 34 µg.mL−1 chloramphenicol at 30°C to an A600 of 0.9. Temperature was then shifted to 17°C for 15 minutes. The protein expression was induced by adding 0.1 mM of isopropyl β-thiogalactopyranoside. Cells were grown 16–18 h post induction. Bacteria were harvested by centrifugation and resuspended in lysis buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 µg.mL−1 DNase and EDTA-free protease inhibitor cocktail (Roche). Cells were lysed using sonication or by mechanical disruption with the FastPrep system using glass beads (MP bioscience). The crude lysate was clarified by centrifugation at 13,000× g for 45 min.
The clarified lysate was applied to a 1 ml HisTrap HP Column (GE Healthcare) charged with Ni2+ and equilibrated with buffer A (50 mM Tris-HCl pH 8.0, 300 mM NaCl) on an AKTÄ explorer 10S FPLC system (GE Healthcare). The column was washed with 10 column volumes of buffer A, 10 column volumes of buffer A containing 25 mM Imidazole and 20 column volumes of buffer A containing 50 mM Imidazole. Elution fraction was analyzed by SDS-PAGE and given the very low level of protein expression we used antibodies raised against the 6×His tag to reveal the recombinant proteins by western blot. For Mass spectrometry analysis, the band was cut out of the gel, trypsin digested and the resulting peptides were analyzed by MS/MS.
Supporting Information
Zdroje
1. La ScolaB, AudicS, RobertC, JungangL, de LamballerieX, et al. (2003) A giant virus in amoebae. Science 299: 2033 doi:10.1126/science.1081867.
2. RaoultD, AudicS, RobertC, AbergelC, RenestoP, et al. (2004) The 1.2-megabase genome sequence of Mimivirus. Science 306: 1344–1350 doi:10.1126/science.1101485.
3. LegendreM, SantiniS, RicoA, AbergelC, ClaverieJ-M (2011) Breaking the 1000-gene barrier for Mimivirus using ultra-deep genome and transcriptome sequencing. Virol J 8: 99 doi:10.1186/1743-422X-8-99.
4. Van HamRCHJ, KamerbeekJ, PalaciosC, RausellC, AbascalF, et al. (2003) Reductive Genome Evolution in Buchnera Aphidicola. PNAS 100: 581–586 doi:10.1073/pnas.0235981100.
5. WatersE, HohnMJ, AhelI, GrahamDE, AdamsMD, et al. (2003) The genome of Nanoarchaeum equitans: insights into early archaeal evolution and derived parasitism. Proc Natl Acad Sci USA 100: 12984–12988 doi:10.1073/pnas.1735403100.
6. LaneCE, van den HeuvelK, KozeraC, CurtisBA, ParsonsBJ, et al. (2007) Nucleomorph genome of Hemiselmis andersenii reveals complete intron loss and compaction as a driver of protein structure and function. Proc Natl Acad Sci USA 104: 19908–19913 doi:10.1073/pnas.0707419104.
7. LegendreM, AudicS, PoirotO, HingampP, SeltzerV, et al. (2010) mRNA deep sequencing reveals 75 new genes and a complex transcriptional landscape in Mimivirus. Genome Res 20: 664–674 doi:10.1101/gr.102582.109.
8. AbergelC, Rudinger-ThirionJ, GiegéR, ClaverieJ-M (2007) Virus-encoded aminoacyl-tRNA synthetases: structural and functional characterization of mimivirus TyrRS and MetRS. J Virol 81: 12406–12417 doi:10.1128/JVI.01107-07.
9. ClaverieJ-M, OgataH (2009) Ten good reasons not to exclude giruses from the evolutionary picture. Nat Rev Microbiol 7: 615 author reply 615. doi:10.1038/nrmicro2108-c3.
10. MoreiraD, López-GarcíaP (2009) Ten reasons to exclude viruses from the tree of life. Nat Rev Microbiol 7: 306–311 doi:10.1038/nrmicro2108.
11. BoyerM, MadouiM-A, GimenezG, La ScolaB, RaoultD (2010) Phylogenetic and Phyletic Studies of Informational Genes in Genomes Highlight Existence of a 4th Domain of Life Including Giant Viruses. PLoS ONE 5: e15530 doi:10.1371/journal.pone.0015530.
12. NasirA, KimKM, Caetano-AnollesG (2012) Giant viruses coexisted with the cellular ancestors and represent a distinct supergroup along with superkingdoms Archaea, Bacteria and Eukarya. BMC Evolutionary Biology 12: 156 doi:10.1186/1471-2148-12-156.
13. MoreiraD, Brochier-ArmanetC (2008) Giant viruses, giant chimeras: the multiple evolutionary histories of Mimivirus genes. BMC Evol Biol 8: 12 doi:10.1186/1471-2148-8-12.
14. ClaverieJ-M, AbergelC (2010) Mimivirus: the emerging paradox of quasi-autonomous viruses. Trends in Genetics 26: 431–437 doi:10.1016/j.tig.2010.07.003.
15. ArslanD, LegendreM, SeltzerV, AbergelC, ClaverieJ-M (2011) Distant Mimivirus relative with a larger genome highlights the fundamental features of Megaviridae. Proc Natl Acad Sci USA 108: 17486–17491 doi:10.1073/pnas.1110889108.
16. LegendreM, ArslanD, AbergelC, ClaverieJ-M (2012) Genomics of Megavirus and the elusive fourth domain of Life. Communicative & Integrative Biology 5: 102–106.
17. SongH, MugnierP, DasAK, WebbHM, EvansDR, et al. (2000) The crystal structure of human eukaryotic release factor eRF1–mechanism of stop codon recognition and peptidyl-tRNA hydrolysis. Cell 100: 311–321.
18. LaurbergM, AsaharaH, KorostelevA, ZhuJ, TrakhanovS, et al. (2008) Structural basis for translation termination on the 70S ribosome. Nature 454: 852–857 doi:10.1038/nature07115.
19. BertramG, InnesS, MinellaO, RichardsonJP, StansfieldI (2001) Endless Possibilities: Translation Termination and Stop Codon Recognition. Microbiology 147: 255–269.
20. MargusT, RemmM, TensonT (2007) Phylogenetic distribution of translational GTPases in bacteria. BMC Genomics 8: 15 doi:10.1186/1471-2164-8-15.
21. ChengZ, SaitoK, PisarevAV, WadaM, PisarevaVP, et al. (2009) Structural insights into eRF3 and stop codon recognition by eRF1. Genes Dev 23: 1106–1118 doi:10.1101/gad.1770109.
22. GaoH, ZhouZ, RawatU, HuangC, BouakazL, et al. (2007) RF3 Induces Ribosomal Conformational Changes Responsible for Dissociation of Class I Release Factors. Cell 129: 929–941 doi:10.1016/j.cell.2007.03.050.
23. NakamuraY, ItoK (2011) tRNA mimicry in translation termination and beyond. Wiley Interdiscip Rev RNA 2: 647–668 doi:10.1002/wrna.81.
24. SaitoK, KobayashiK, WadaM, KikunoI, TakusagawaA, et al. (2010) Omnipotent role of archaeal elongation factor 1 alpha (EF1α in translational elongation and termination, and quality control of protein synthesis. Proc Natl Acad Sci USA 107: 19242–19247 doi:10.1073/pnas.1009599107.
25. NamyO, RoussetJ-P, NapthineS, BrierleyI (2004) Reprogrammed genetic decoding in cellular gene expression. Mol Cell 13: 157–168.
26. NilssonM, Rydén-AulinM (2003) Glutamine is incorporated at the nonsense codons UAG and UAA in a suppressor-free Escherichia coli strain. Biochim Biophys Acta 1627: 1–6.
27. EggertssonG, SöllD (1988) Transfer ribonucleic acid-mediated suppression of termination codons in Escherichia coli. Microbiological Reviews 52: 354.
28. CopelandPR (2003) Regulation of gene expression by stop codon recoding: selenocysteine. Gene 312: 17–25.
29. CraigenWJ, CaskeyCT (1986) Expression of peptide chain release factor 2 requires high-efficiency frameshift. Nature 322: 273–275 doi:10.1038/322273a0.
30. BaranovPV, GestelandRF, AtkinsJF (2002) Release factor 2 frameshifting sites in different bacteria. EMBO Rep 3: 373–377 doi:10.1093/embo-reports/kvf065.
31. BetneyR, de SilvaE, KrishnanJ, StansfieldI (2010) Autoregulatory systems controlling translation factor expression: thermostat-like control of translational accuracy. RNA 16: 655–663 doi:10.1261/rna.1796210.
32. BonettiB, FuL, MoonJ, BedwellDM (1995) The efficiency of translation termination is determined by a synergistic interplay between upstream and downstream sequences in Saccharomyces cerevisiae. J Mol Biol 251: 334–345 doi:10.1006/jmbi.1995.0438.
33. WeissRB (1991) Ribosomal frameshifting, jumping and readthrough. Current Opinion in Cell Biology 3: 1051–1055 doi:10.1016/0955-0674(91)90128-L.
34. PooleES, BrownCM, TateWP (1995) The identity of the base following the stop codon determines the efficiency of in vivo translational termination in Escherichia coli. EMBO J 14: 151–158.
35. TateWP, PooleES, HorsfieldJA, ManneringSA, BrownCM, et al. (1995) Translational termination efficiency in both bacteria and mammals is regulated by the base following the stop codon. Biochem Cell Biol 73: 1095–1103.
36. VallabhaneniH, Fan-MinogueH, BedwellDM, FarabaughPJ (2009) Connection between stop codon reassignment and frequent use of shifty stop frameshifting. RNA 15: 889–897 doi:10.1261/rna.1508109.
37. MatsugiJ, MuraoK, IshikuraH (1998) Effect of B. subtilis TRNA(Trp) on readthrough rate at an opal UGA codon. J Biochem 123: 853–858.
38. BeierH, GrimmM (2001) Misreading of termination codons in eukaryotes by natural nonsense suppressor tRNAs. Nucleic Acids Res 29: 4767–4782.
39. SchmeingTM, VoorheesRM, KelleyAC, RamakrishnanV (2011) How mutations in tRNA distant from the anticodon affect the fidelity of decoding. Nat Struct Mol Biol 18: 432–436 doi:10.1038/nsmb.2003.
40. FrolovaL, Seit-NebiA, KisselevL (2002) Highly conserved NIKS tetrapeptide is functionally essential in eukaryotic translation termination factor eRF1. RNA 8: 129–136.
41. KolosovP, FrolovaL, Seit-NebiA, DubovayaV, KononenkoA, et al. (2005) Invariant amino acids essential for decoding function of polypeptide release factor eRF1. Nucleic Acids Res 33: 6418–6425 doi:10.1093/nar/gki927.
42. MerkulovaTI, FrolovaLY, LazarM, CamonisJ, KisselevLL (1999) C-terminal domains of human translation termination factors eRF1 and eRF3 mediate their in vivo interaction. FEBS Lett 443: 41–47.
43. YoungmanEM, McDonaldME, GreenR (2008) Peptide release on the ribosome: mechanism and implications for translational control. Annu Rev Microbiol 62: 353–373 doi:10.1146/annurev.micro.61.080706.093323.
44. QuangLS, GascuelO, LartillotN (2008) Empirical profile mixture models for phylogenetic reconstruction. Bioinformatics 24: 2317–2323 doi:10.1093/bioinformatics/btn445.
45. WilliamsTA, EmbleyTM, HeinzE (2011) Informational gene phylogenies do not support a fourth domain of life for nucleocytoplasmic large DNA viruses. PLoS ONE 6: e21080 doi:10.1371/journal.pone.0021080.
46. BoyerM, YutinN, PagnierI, BarrassiL, FournousG, et al. (2009) Giant Marseillevirus highlights the role of amoebae as a melting pot in emergence of chimeric microorganisms. Proc Natl Acad Sci USA 106: 21848–21853 doi:10.1073/pnas.0911354106.
47. ThomasV, BertelliC, CollynF, CassonN, TelentiA, et al. (2011) Lausannevirus, a giant amoebal virus encoding histone doublets. Environ Microbiol 13: 1454–1466 doi:10.1111/j.1462-2920.2011.02446.x.
48. Koonin EV, Yutin N (2012) Nucleo-cytoplasmic Large DNA Viruses (NCLDV) of Eukaryotes. eLS. John Wiley & Sons, Ltd. doi:10.1002/9780470015902.a0023268.
49. ClaverieJM, AbergelC, OgataH (2009) Mimivirus. Curr Top Microbiol Immunol 328: 89–121.
50. SenjuS, IyamaK-I, KudoH, AizawaS, NishimuraY (2000) Immunocytochemical Analyses and Targeted Gene Disruption of GTPBP1. Mol Cell Biol 20: 6195–6200 doi:10.1128/MCB.20.17.6195-6200.2000.
51. WooK-C, KimT-D, LeeK-H, KimD-Y, KimS, et al. (2011) Modulation of exosome-mediated mRNA turnover by interaction of GTP-binding protein 1 (GTPBP1) with its target mRNAs. FASEB J 25: 2757–2769 doi:10.1096/fj.10-178715.
52. Fan-MinogueH, DuM, PisarevAV, KallmeyerAK, Salas-MarcoJ, et al. (2008) Distinct eRF3 requirements suggest alternate eRF1 conformations mediate peptide release during eukaryotic translation termination. Mol Cell 30: 599–609 doi:10.1016/j.molcel.2008.03.020.
53. JaffeDB, ButlerJ, GnerreS, MauceliE, Lindblad-TohK, et al. (2003) Whole-genome sequence assembly for mammalian genomes: Arachne 2. Genome Res 13: 91–96 doi:10.1101/gr.828403.
54. StankeM, SchöffmannO, MorgensternB, WaackS (2006) Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources. BMC Bioinformatics 7: 62 doi:10.1186/1471-2105-7-62.
55. SlaterGSC, BirneyE (2005) Automated generation of heuristics for biological sequence comparison. BMC Bioinformatics 6: 31 doi:10.1186/1471-2105-6-31.
56. LoweTM, EddySR (1997) tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence. Nucl Acids Res 25: 0955–0964 doi:10.1093/nar/25.5.0955.
57. MariottiM, GuigóR (2010) Selenoprofiles: Profile-Based Scanning of Eukaryotic Genome Sequences for Selenoprotein Genes. Bioinformatics 26: 2656–2663 doi:10.1093/bioinformatics/btq516.
58. KryukovGV, CastellanoS, NovoselovSV, LobanovAV, ZehtabO, et al. (2003) Characterization of mammalian selenoproteomes. Science 300: 1439–1443 doi:10.1126/science.1083516.
59. KatohK, TohH (2008) Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinformatics 9: 286–298 doi:10.1093/bib/bbn013.
60. GuindonS, DufayardJ-F, LefortV, AnisimovaM, HordijkW, et al. (2010) New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol 59: 307–321 doi:10.1093/sysbio/syq010.
61. RonquistF, HuelsenbeckJP (2003) MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19: 1572–1574.
62. LartillotN, LepageT, BlanquartS (2009) PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating. Bioinformatics 25: 2286–2288 doi:10.1093/bioinformatics/btp368.
63. TrapnellC, PachterL, SalzbergSL (2009) TopHat: Discovering Splice Junctions with RNA-Seq. Bioinformatics 25: 1105–1111 doi:10.1093/bioinformatics/btp120.
64. HomerN, MerrimanB, NelsonSF (2009) BFAST: an alignment tool for large scale genome resequencing. PLoS ONE 4: e7767 doi:10.1371/journal.pone.0007767.
65. MortazaviA, WilliamsBA, McCueK, SchaefferL, WoldB (2008) Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods 5: 621–628 doi:10.1038/nmeth.1226.
66. SuhreK, AudicS, ClaverieJ-M (2005) Mimivirus gene promoters exhibit an unprecedented conservation among all eukaryotes. Proc Natl Acad Sci USA 102: 14689–14693 doi:10.1073/pnas.0506465102.
67. ByrneD, GrzelaR, LartigueA, AudicS, ChenivesseS, et al. (2009) The polyadenylation site of Mimivirus transcripts obeys a stringent “hairpin rule.”. Genome Res 19: 1233–1242 doi:10.1101/gr.091561.109.
Štítky
Genetika Reprodukční medicínaČlánek vyšel v časopise
PLOS Genetics
2012 Číslo 12
- Management pacientů s MPN a neobvyklou kombinací genových přestaveb – systematický přehled a kazuistiky
- Management péče o pacientku s karcinomem ovaria a neočekávanou mutací CDH1 – kazuistika
- Primární hyperoxalurie – aktuální možnosti diagnostiky a léčby
- Vliv kvality morfologie spermií na úspěšnost intrauterinní inseminace
- Akutní intermitentní porfyrie
Nejčtenější v tomto čísle
- Population Genomics of Sub-Saharan : African Diversity and Non-African Admixture
- Excessive Astrocyte-Derived Neurotrophin-3 Contributes to the Abnormal Neuronal Dendritic Development in a Mouse Model of Fragile X Syndrome
- Pre-Disposition and Epigenetics Govern Variation in Bacterial Survival upon Stress
- Insertion/Deletion Polymorphisms in the Promoter Are a Risk Factor for Bladder Exstrophy Epispadias Complex