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Global analysis of microbial translation initiation regions.

The availability of genomic sequences from multiple bacteria has allowed global comparisons of patterns. Here we present a graphical comparison of normalized base frequencies in the vicinity of translation starts for both eubacteria and archae. The results show that most eubacterial Open Reading Frames (ORFs) are preceded by a distinctly recognizable Shine-Dalgarno (SD) sequence pattern. However, some eubacteria deviate from this arrangement and have diminished SD patterns or completely lack this sequence. On the other hand, some archae seem to use both SD sequences and leaderless transcripts in their translation initiation process. This is dependent on the position of a gene within an operon. Most archae seem to have other regular sequences located upstream from the typical SD location. Both eubacteria and archae have a surprising repetitive pattern seen within the averaged ORFs. The eubacterial and archaeal averaged patterns are slightly different from each other, and individual organisms within each domain vary from the averages. Nevertheless, the existence of such a periodicity within ORFs may allow the development of new techniques to identify actual genes from ORFs.

Keywords: translation initiation, eubacterial, archaeal, Shine-Dalgarno, alignment

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Eubacteria initiate their translational process by binding mRNA to the small ribosomal subunit. This occurs because of a complementarity between a sequence at the 3' end of 16S rRNA and the Shine-Dalgarno (SD) sequence just 5' to the initiation codon (Shine and Dalgarno, 1974; Gualerzi and Pon, 1990). However, rarely, some eubacteria have been shown to lack an untranslated leader of sufficient length to contain an SD sequence (Van Etten and Janssen, 1998). In addition, there is some evidence that Mycoplasma species may have a high proportion of leaderless transcripts. On the other hand, archae may more routinely use heterogenous mechanisms for translation initiation (Saito and Tomita, 1999). Work on two different species, Pyrobaculum aerophilum (Slupska et al., 2001) and Sulfolobus solfataricus (Tolstrup et al., 2000), has shown that while many genes seem to have SD sequences in the proper location, a significant number of others are likely to have leaderless transcripts.

The availability of large numbers of complete genomic sequences provides the opportunity to search for patterns within and among genomes. In particular there were 56 eubacterial and 11 archaeal sequences that were published by the middle of January, 2002 (http://www.ncbi.nlm.nih.gov:80/PMGifs/Genomes/micr.html). Newly sequenced genomes are subjected to computational methods that produce a collection of open reading frames (ORFs) that presumably correspond to the genes in the organisms. This type of analysis has already led to insights into the translational process (Saito and Tomita, 1999; Sakai et al., 2001; Ma et al., 2002).

We construct a matrix using a maximum likelihood statistical approach (Hertz and Stormo, 1996) and combine it with a graphical representation of the results to show results averaged over all ORFs for all available sequenced microbial genomes. This approach can reveal common patterns and deviations from these patterns for microorganisms. We discuss the results as they relate to translation initiation mechanisms.

MATERIALS AND METHODS

Sequences for the following genomes were available as of 01-22-02 at the Entrez Genomes section of the National Center for Biotechnology Information (NCBI) Web site (http://www.ncbi.nlm.nih.gov:80/PMGifs/Genomes/micr.html) (hereafter referred to as the NCBI Microbial Genomes web site):

Agrobacterium tumefaciens Cereon circular chromosome (Goodner et al., 2001)

Agrobacterium tumefaciens Dupont circular chromosome (Wood et al., 2001)

Aeropyrum pernix K1 (Kawarabayasi et al, 1999)

Aquifex aeclicus chromosome (Deckert et al., 1998)

Archaeoglobus fulgidus (Kienk et al., 1997)

Bacillus halodurans C-125 (Takami et al., 2000)

Bacillus subtilis (Kunst et al., 1997)

Borrelia burgdorferi chromosome (Fraser et al., 1997)

Brucella melitensis chromosome I, chromosome II (DelVecchio et al., 2002)

Buchnera sp. APS (Shigenobu et al., 2000)

Campylobacter jejuni (Parkhill et al., 2000)

Caulobacter crescentus (Nierman et al, 2001)

Chlamydophila pneumoniae CWL029 (Kalman et al., 1999)

Chlamydophila pneumoniae AR39 (Read et al., 2000)

Chlamydophila pneumoniae J138 (Shirai et al., 2000)

Chlamydia trachomatis (Stephens et al., 1998)

Chlamydia muridarum chromosome (Read et al., 2000)

Clostridium acetobutylicum chromosome (Nolling et al., 2001)

Deinococcus radiodurans R1 chromosome 1, chromosome 2 (White et al., 1999)

Escherichia coli K12 (Blattner et al., 1997)

Escherichia coli O157:H7 EDL933 (Perna et al., 2001)

Escherichia coli 0157:117 (Hayashi et al., 2001)

Halobacterium sp. NRC-1 (Fleiscbmann et al., 1995)

Haemophilus influenzae (Ng et al, 2000)

Helicobacter pylori 26695 (Tomb et al., 1997)

Helicobacter pylori J99 (Alm et al., 1999)

Lactococcus lactis subsp. lactis (Bolotin et al., 2001)

Listeria monocytogenes EGD-e (Glaser et al., 2001)

Listeria innocua (Glaser et al., 2001)

Methanobacterium thermoautotrophicum (Smith et al., 1997)

Methanococcus jannaschii chromosome (Bult et al., 1996)

Mesorhizobium loti chromosome (http://www.kazusa.or.jp/rhizobase/)

Mycobacterium tuberculosis H37Rv (Cole et al., 1998)

Mycobacterium tuberculosis CDC1551 (Fleischmann, R.D., D. Alland, J.A. Eisen, L. Carpenter, O. White, J. Peterson, R. DeBoy, R. Dodson, M. Gwinn, D. Haft, et al., Whole genome comparison of Mycobacterium tuberculosis clinical and laboratory strains. Unpublished (listed in NCBI Microbial Genomes website).

Mycobacterium leprae (Cole et al., 2001)

Mycoplasma genitalium (Fraser et al., 1995)

Mycoplasma pneumoniae (Himmelreich et al., 1996)

Mycoplasma pulmonis (Chambaud et al., 2001)

Neisseria meningitidis MC58 (Tettelin et al., 2000)

Neisseria meningitidis Z2491 (Parkhill et al., 2000)

Nostoc sp. PCC 7120 (Kaneko et al., 2001)

Pasteurella multocida (May et al., 2001)

Pseudomonas aeruginosa (Stover et al., 2000)

Pyrococcus abyssi (Heilig, R. Pyrococcus abyssi genome sequence: insights into archaeal chromosome structure and evolution Unpublished (listed in NCBI Microbial Genomes website).

Pyrococus horikoshii (Kawarabayasi et al., 1998)

Rickettsia conorii Malish 7 (Ogata et al., 2001)

Rickettsia prowazekii (Ogata et al., 2001)

Ralstonia solanacearum (Salanoubat, M., S. Genin, F. Artiguenave, J. Gouzy, S. Mangenot, M. Arlat, A. Billault, P. Brottier, J.C. Camus, L. Cattolico, et al., Genome sequence of the plant pathogen Ralstonia solanacearum Unpublished (listed in NCBI Microbial Genomes website).

Salmonella typhimurium LT2 (McClelland et al., 2001)

Salmonella typhi (Parkhill et al., 2001)

Sinorhizobium meliloti (Capela et al., 2001)

Staphylococcus aureus N315 (Kuroda et al., 2001)

Staphylococcus aureus Mu5O (Kuroda et al., 2001)

Streptococcus pneumoniae TIGR4 (Tettelin et al., 2001)

Streptococcus pneumoniae R6 (Hoskins et al., 2001)

Streptococcus pyogenes (Ferretti et al., 2001)

Sulfolobus solfataricus (She et al., 2001)

Sulfolobus tokodaii (Kawarabayasi et al., 2001)

Synechocystis PCC6803 (Kaneko et al., 1996)

Thermoplasma acidophilum (Ruepp et al., 2000)

Thermoplasma volcanium (Kawashima et al., 1999)

Treponema pallidum (Fraser et al., 1998)

Thermotoga maritima (Nelson et al., 1999)

Ureaplasma urealyticum (Glass et al., 2000)

Vibrio cholerae chromosome I, chromosome II (Heidelberg et al., 2000)

Xylella fastidiosa chromosome (Simpson et al., 2000)

Yersinia pestis chromosome (Parkhill et al., 2001)

Software was developed using Pert and run on Sun 0S 5.7. Data was read from standard formatted data files found at the Entrez-Genome site hosted by the NCBI (NCBI Microbial Genomes website) and the information needed to align the open reading frames was extracted. Each eubacterial and archaeal DNA sequence was downloaded in FASTA format (*.fna) and the open reading frame information was selected from the same site in ProTein Table (*.ptt) format. No reformatting of the data was required. The only input required by the software was the location of the genome files and the start/stop locations for the alignment (in this case -70 to +50 where o is the first base in the start codon). The program first removed all the end-line characters and calculated the G-C content of the strain. Next, each ORF segment was aligned with the start codon beginning at the zero location (ORFs indicated as being in the opposite direction were computed as reverse compliments and aligned). The bases at each position were then totaled b y summing over all ORFs. The sums were divided by the total number of ORFs to find the real frequency and then normalized by dividing by the expected base content at each position by using the G-C content of the organism. Next, a log probability of any given base in the region was calculated by taking the log of these normalized values (Staden, 1984; Hertz and Stormo, 1996; Stormo, 2000). The values were then output into a data file. This was repeated for each genomic file. An average for each bacterial domain was calculated from all the frequencies in that domain. A total of 58 eubacterial sequences were run requiring 1598 seconds and totaling 146,335 ORFs. A total of 11 archaeal sequences were run requiring 235 seconds and totaling 23,361 ORFs.

Subtraction of individual organismal patterns from the domain average was accomplished by direct subtraction of frequencies at each base. The result was reploted to show the differences in frequencies.

Sulfolobus solfataricus and Halobacterium sp. NRC-1 genomes were examined to identify ORFs that were likely to be members of operons. In order to qualify, ORFs must have been assigned an identity at the NCBI Microbial Genomes web site and be part of a recognizable cluster of related genes. The selected genes were related by function (as in collections of ribosomal protein genes or subunits of a protein like NADH dehydrogenase) or by being part of a pathway (like proteins in the cobalamin biosynthetic pathway). The gene cluster had to be closely linked with fewer than ten bases separating the genes (many overlapped slightly). The initial gene in the putative operon had to be separated by 50 to 100 bases from the preceding gene and had to have no identifiable functional relationship with it. No hypothetical protein genes were used.

A version of the program used for this work is accessible at the following web site: http://www. msstate.edu/dept/biochemistry/CBIG/. In addition the aligned genomes of all microbial species examined are available at this site.

RESULTS

Examination of individual eubacterial genomic sequence patterns and the eubacterial average over all reported ORFs (Figure 1) reveals distinctive patterns near the start codon. The averaged start codons themselves show the expected overwhelming presence of A, T, and especially G in the third position (base number 2 in the representation used). There is a general enrichment of A's both upstream and downstream from the start codon with the obvious exception of the Shine-Dalgarno region and a decline in A as the last base before the start. There is also a general decrease in G's in this start codon proximal region except for SD. The expected SD sequences upstream from start contribute to a distinctive pattern. The canonical sequence of AGGAGG may vary somewhat in its location with respect to translation start. The net result is a distribution of this sequence over a range of locations in the genomic patterns and in the eubacterial average. The high G content of SD yields a broad G peak centered around -9 to -10 bases upstream from start. There is arise in A content upstream of this peak and a definite decline within the peak. T and C frequencies drop off dramatically in the SD region.

Individual eubacterial genomes vary from the average pattern. A few eubacteria maintain a preponderance of A's over G's throughout the SD region. This is true for Caulobacter crescentus, Mycobacterium tuberculosis, and Xylella fastidioasa (Figure 2). These still have the decline in T's and C's as observed for others. Some eubacteria, e.g. Bacillus subtilis (Figure 3) and Staphylococcus aureus (see Figure 1), have SD regions whose center is shifted slightly upstream from the average and have a higher frequency of G's and lower frequency of T's and C's in this region as compared to the average. This is highlighted by subtracting the organismal pattern from the eubacterial average (Figure 3).

Synechocystis PCC6803 has a clear deviation from the average pattern (Figure 4). While there is a rise in G's at SD, it is not nearly so pronounced as in the average. The decline in C's is also not conspicuous. There is no obvious explanation for this anomaly. Deinococcus radiodurans also presents an anomalous pattern (Figure 4). Instead of a G peak in the SD region, it displays a prominent A peak and only small decreases in T and C. There is a T peak at position -7. The patterns are consistent for both chromosomes.

Other notable exceptions from the eubacterial pattern are seen in two Mycoplasma species, Mycoplasma genitalium and Mycoplasma pneumoniae (Figure 4). While both evidence the general rise in A's and decline in G's near the start codon, each lacks evidence of SD sequences. In contrast Mycoplasma pulmonis fits the standard eubacterial pattern except that a larger proportion of its ORFs start with something other than ATG. Removal of the M. genitalium and M. pneumoniae frequencies from the eubacterial average has little affect on the pattern since together they only contribute 1173 ORFs out of the almost 150,000 found in the overall average.

The average over all archaeal sequences shows a much less uniform pattern than for eubacteria (Figure 5). While this could be due to the smaller sample size of archaeal sequences, the number of ORFs involved is still over 23,000. The variations are more likely due to the diverse nature of the archaeal kingdom. It is also likely due to diverse translation initiation mechanisms for different classes of genes within individual archae (Tolstrup et al., 2000; Slupska et al., 2001).

There are some similarities between the archaeal and eubacterial averages. There is an enrichment in A's immediately upstream and downstream from the start codon. The last base before this codon is depleted in A. There is a decrease in G before the start, but, in contrast to eubacteria, there is no general depletion in G after the start codon. While there is a clear G peak and decline in A's and C's in the SD region, there is no drop in T's here. In addition the SD pattern is not so pronounced as in the eubacterial case. Individual archae lack distinct SD patterns. Thermoplasma acidophilum, Aeropyrum pernix, and Halobacterium sp. NRC-1 have none of the standard base distributions here. On the other hand, with the exception of Aeropyrum pernix, they and the other archae have apparent consistent structure in the region upstream from the SD location that is seen in no eubacteria (Figure 5). From -27 to -30 there is a preponderance of T's and -19 to -26 and -31 to -35 shows a preference for A in all the archae. T hese regions seem to show a diminished amount of C and G although this is not pronounced.

Examination of the results for Sulfolobus solfataricus reveals some of the complexity of archaeal genes (Figure 6). Its genomic average is very similar to the overall archaeal average. However, a sampling of 63 genes that are likely to be transcribed as internal members of polycistronic mRNAs shows a pattern that presents a clear SD signal with little upstream structure. Sampling 40 genes that are likely to be the initial sequences in polycistrons presents a noisy average but reveals no SD pattern and suggests the possible presence of the A-T rich and C-G poor region from -35 to -19. Combination of the patterns from the two gene classes would yield the sequence structures found upstream from the translation start signal in the overall genomic pattern for Sulfolobus.

Sampling 72 genes that appear to be internal and 29 that appear to be the first in an operon in Halobacterium sp. NRC-1 gives a similar result (data not shown). An A-T rich region is seen from -38 to -25 with the typical T peak surrounded by A peaks when the operon initiating genes are averaged. A G rich region from -12 to -8 and correspondingly C poor region is suggestive of an SD region for genes internal to operons. This region is obscured in the overall average.

The gene sequences downstream from the start codon show a surprising regularity in all bacteria examined. This is not an artifact of the alignment; combination of random genomic sequences (data not shown) presents only noise. A similar regularity has been observed by others for individual genes and organisms (Fickett, 1984; Tsonis et al., 1991; Suckow et al., 1998).

DISCUSSION

The statistical and graphical approach used here shows averages of the sequenced eubacterial and archaeal genomes. Patterns that relate to the translational processes are readily visualized. Comparisons with individual organisms reveal possible deviations from the standard processes. As expected, most eubacteria have a distinct indication of a Shine-Dalgamo region located just upstream from the initiation codon. There is also a general enrichment of A's near the start with the exception of a clear decrease at position -1. There is no clear evidence of a downstream box that has been suggested to be a translation enhancer in the region of +7 to +12 (Sprengart et al., 1996).

Deviations from the average results for eubacteria could be caused by several factors. Misidentification of ORFs by various gene finding programs could produce noise in the data. An ORF may be incorrectly extended in the 5' direction beyond the actual start codon simply because there is an open reading frame available beyond that codon. This would place the real SD site within the gene when the alignment is done. Some sequences identified as ORFs may not be real genes. This would also introduce noise in the alignment. Conceivably, some genes may contain translational elements that are quite different from the average. It might be an interesting application of this technique to identify OREs that deviate in some statistical way from the average. Do they cluster in some fashion? Do they have unusual characteristics as genes or do they look like misassigned sequences?

Some organisms deviate in definite but not critical ways from the average. A few have a G peak in the SD region that is less than the A peak but still have clear decreases in T and C. B. subtilis and S. aureus have intense but shifted SD signals. This is most clearly seen by subtracting the average results from the organismal results. These variations from the average are not likely to represent large scale differences in translation initiation.

Some organismal averages are distinct from the eubacterial average. Synechocystis shows an exceptionally weak SD pattern and also has reasonably prominent C frequencies on either side of the start codon. Other work has suggested that this bacterium is somewhat different in its translation initiation and may have different classes of genes (Osada et al., 1999; Sakai et al., 2001). However, examination of only the highly expressed class of genes (Mrazek et al., 2001) (data not shown) does not show much variation from the overall average. Deinococcus radiodurans shows the typical lower values for C and T frequencies in the SD region, but there is an A peak here for both chromosomes. G tends to increase around -8 to -9. This is unlike any other eubacterial genome. Examination of the 16S ribosomal RNA genes in both Synechocystis and Deinococcus shows the expected AGGAGG sequence (NCBI Microbial Genomes website) and so altered complementarity is not to be expected. The regularity seen within the coding region is al so clearly different for Deinococcus. These two eubacteria are not related in any fashion with Synechocystis being a cyanobacterium and Deinococcus being one of the most unusual eubacterial extremophiles (White et al., 1999). It will be interesting to compare these results with any newly sequenced cyanobacteria to see if a unique translation initiation pattern emerges.

The results seen with Mycoplasma genitalium and Mycoplasma pneumoniae highlight their high frequency of leaderless transcripts (Weiner et al., 2000). This phenomena, whereby an mRNA is produced with few bases in front of the start codon, has been observed in every type of organism but is usually rare (Van Etten and Janssen, 1998). Translation initiation seems to be accomplished through the actions of either bacterial or eukaryotic equivalents of IF-2 (Kyrpides and Woese, 1998; Grill et al., 2000; Grill et al., 2001). These two Mycoplasma species show no indication at all of an SD region. While Synechocystis and Deinococcus are unusual, they still evidence a diminished G peak; M genitalium and M pneumoniae have no distinguishable G peak. The other species of mycoplasma in this study, Mycoplasma pulmonis and the related organism Ureaplasma urealyticum, have a readily distinguishable SD pattern and therefore are not likely to have leaderless transcripts.

Archeal translation initiation is not as well understood as eubacterial initiation. Genomic analysis has suggested that at least some archae use a combination of eubacterial and eukaryotic mechanisms (Salin et al., 1991; Saito and Tomita, 1999). Some archaeal initiation factors are homologs of the eukaryotic equivalents (Bult et al., 1996; Keeling et al., 1998; Kyrpides and Woese, 1998) yet many archaeal genes have clear SD regions, appropriately complimentary regions at the 3' end of their 16S rRNA molecules, and no 5' CAP structure. Some archaeal transcripts are leaderless (May and Dennis, 1990; Condo et al., 1999; Slupska et al., 2001). Recent work has suggested that in at least some archea, the specific translation initiation mechanism depends on whether the gene in question is located internal to an operon or is an isolated gene or the first gene in an operon (Tolstrup et al., 2000; Slupska et al. 2001).

The results here reflect both the diversity of the archaeal domain and the diversity of mechanisms within individual organisms. Not all of the archae, especially Halobacterium and to a lesser extent Thermoplasma acidophilum and Aeropyrum pernix, have a clearly defined SD region. However, with the exception of Aeropyrum pernix, all the archaeal genomes have at least some indication of common sequence elements further upstream from an expected SD site. There are A rich regions located around -34 and -24 and a T rich region centered at -28. The T region and the -24 A region could readily correspond to an A box structure (consensus TTTA(A or T)A) (Wich et al., 1986; Reiter et al., 1988; Thomm and Wich, 1988; Reiter et al., 1990) slightly diffuse out due to heterogeneity in location. This element represents a transcription start signal yielding leaderless transcripts having no SD region and is found upstream of isolated genes and first genes in operons in Pyrobaculum aerophilum (Slupska et al., 2001) and Sulfolobu s solfataricus (Tolstrup et al., 2000; She et al., 2001). It was not found upstream of internal genes in operons. The results presented here for Sulfolobus and Halobacterium support this conclusion and lead to the suggestion that each genome result and the overall archaeal average represents a superposition of at least the two classes of genes. The SD region centered at -9 is from internal members of operons; the putative A box (the combination of the T peak at -28 and the A peak at -24) is the transcription signal for leaderless products of isolated genes and first genes in operons. The A region at -34 may be another type of transcriptional signal since it is likely to be too far upstream to be involved in translation initiation. It seems that most if not all archae studied here may use at least two mechanisms for translation initiation based on these results.

The repetitive pattern seen with the averaged coding sequences is consistently present in all organisms examined. It is especially interesting that a pattern is seen even when all OREs over both the eubacteria and archae are averaged (Figures 1 and 5). However, the observed patterns are slightly different in each case. There is a clear periodicity of three bases seen and this is likely due to codon structure. Nevertheless, there is no reason to expect such a regularity in base positions. Both eubacteria and archae have higher than expected G frequencies in the first codon position and lower than expected in the second position. This begins immediately after the start codon in archae but becomes prominent in eubacteria only after several codons. Conversely, T is elevated in the second position but diminished in the first position. The other bases show lower effects in the averages. Individual organisms can show patterns that are distinct from the averages. Figure 2 shows that Caulobacter crescentus has regular ly higher C and lower A in the third position. Figure 5 shows that Halobacterium has higher C and lower T in the third position and both higher A and T in the second position. The set of all 69 organisms examined has much variety but each member always shows some regular pattern.

The pattern observed internal to the ORFs is not seen upstream nor is it seen in random sequences. The pattern is observable even if few OREs are examined as is seen in Figure 6 when 63 and 40 ORFs are aligned. In particular, the G repeat stands out from the noisy background. Preliminary work shows that alignment of multiple codons within one gene also shows periodicity. This agrees with work done for some genes in Pyrococcus (Suckow et al., 1998). There has been some suggestion that examination of periodicity within ORFs could assist in gene identification (Tiwari et al., 1997). It remains to be seen whether eukaryotes will have similar patterns.

Detailed analysis should allow comparison of individual ORFs to organismal averages. This may prove useful in identifying ORFs that represent outliers in the data. Are they atypical because they are members of a particular gene class? The Sulfolobus and Halobacterium genes that begin operons show this characteristic. On the other hand, further study of some abnormal OREs might eventually show that they have been incorrectly identified as genes.

The combination of a visual approach with a maximum likelihood statistical treatment of aligned OREs can be powerful in revealing global patterns around translation initiation sites in both eubacteria and archae. The availability of large numbers of genomes allows formulation of reasonable averages for the two domains considered here. Since a broad range of bacteria were included, it is not likely that the results are skewed in any particular way. No bacterium contributed more than 8% of the total ORFs in question.

ACKNOWLEDGMENTS

The authors would like to thank Dr. Carolyn Boyle for her advice on statistical validity of methods used. This work was supported by NSF Award No. EPS0082979. This is publication number J10086 of the Mississippi Agricultural and Forestry Experiment Station.

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