Stretches of alternating pyrimidine/purines and purines are respectively linked with pathogenicity and growth temperature in prokaryotes
© Bohlin et al; licensee BioMed Central Ltd. 2009
Received: 2 March 2009
Accepted: 31 July 2009
Published: 31 July 2009
The genomic fractions of purine (RR) and alternating pyrimidine/purine (YR) stretches of 10 base pairs or more, have been linked to genomic AT content, the formation of different DNA helices, strand-biased gene distribution, DNA structure, and more. Although some of these factors are a consequence of the chemical properties of purines and pyrimidines, a thorough statistical examination of the distributions of YR/RR stretches in sequenced prokaryotic chromosomes has to the best of our knowledge, not been undertaken. The aim of this study is to expand upon previous research by using regression analysis to investigate how AT content, habitat, growth temperature, pathogenicity, phyla, oxygen requirement and halotolerance correlated with the distribution of RR and YR stretches in prokaryotes.
Our results indicate that RR and YR-stretches are differently distributed in prokaryotic phyla. RR stretches are overrepresented in all phyla except for the Actinobacteria and β-Proteobacteria. In contrast, YR tracts are underrepresented in all phyla except for the β-Proteobacterial group. YR-stretches are associated with phylum, pathogenicity and habitat, whilst RR-tracts are associated with phylum, AT content, oxygen requirement, growth temperature and halotolerance. All associations described were statistically significant with p < 0.001.
Analysis of chromosomal distributions of RR/YR sequences in prokaryotes reveals a set of associations with environmental factors not observed with mono- and oligonucleotide frequencies. This implies that important information can be found in the distribution of RR/YR stretches that is more difficult to obtain from genomic mono- and oligonucleotide frequencies. The association between pathogenicity and fractions of YR stretches is assumed to be linked to recombination and horizontal transfer.
Frequencies of RR and YR stretches of 10 bp or more have been associated with several genomic and DNA structural features [1, 2]. For instance, purine and pyrimidine patterns have been found to be better conserved than base composition in all domains of life . Short runs of the purine adenine (A) have been linked to curved DNA sequences [4, 5], and purine asymmetry is associated with strand-biased gene distribution . Runs of YR stretches tend to form Z-DNA helices in GC-rich sequences, and some purine tracts are associated with A-DNA helices . DNA helices are in general linked with both sequence patterns and environmental conditions . A- and B-DNA type helices appear to be more common in genomic DNA . However, local and less frequent variants known as C-, D- and T-DNA helices can also occur . The left-handed Z-DNA helix is found less frequently in prokaryotes than in eukaryotes and appears to be unstable in bacteria .
While RR and YR stretches are short-range correlated in archaea and bacteria, their distribution in eukaryotes is more complex . In this work, we focus on prokaryotes. The distributions of RR/YR tracts in prokaryotes have been described previously [1, 4], but many issues have not been resolved. The large number of sequenced genomes available enabled us to search for possible factors associated with the distribution of RR/YR stretches. This was carried out by examining RR/YR tracts containing 10 bp and more in 546 chromosomes from 494 genomes. To reduce bias, similar species and species with many sequenced strands were removed from the original dataset consisting of 865 prokaryotic DNA sequences. One turn of the DNA helix is in the range of 10 bp for the most common helices [1, 5] and this guided our choice for the RR/YR sequence length. Regression analysis was subsequently carried out to compare frequencies of genomic RR and YR-stretches with genome size, AT content, phyla, oxygen requirement, habitat, growth temperature, pathogenicity and halotolerance.
YR- stretches regression model
RR- stretches regression model
It should be noted that models based on the reverse compliments of the RR and YR-models, i.e. YY and RY-stretches, produced similar results. It is assumed that this is due to Chargaff's parity laws,i.e. purine and pyrimidine levels are the same throughout chromosomes, but may be differently distributed along each strand.
The results above represents a continuation of earlier work [1, 4], but limited to prokaryotic genomes. Previously , it was demonstrated that the distribution of RR and YR stretches in eukaryotes were very different to prokaryotes. That is, the distribution of YR and RR stretches in eukaryotic genomes deviate strongly from the Markov-based, short-range correlation model used for prokaryotes. The constraints responsible for the different distributions of RR and YR stretches between prokaryotic and eukaryotic organisms are not known, but may possibly be attributed to the non-linear, multi-scaled and highly fractal organization of nucleotides in eukaryotic genomes not observed in prokaryotes .
Analyses of the distribution of RR and YR stretches in prokaryotic chromosomes (figures 1 &2) reveal that while YR stretches of 10 bp tend to be underrepresented according to what is expected, RR stretches are to a large extent overrepresented. For YR stretches this is true for all phyla except β-Proteobacteria of which the GC-rich Burkholderia genus is found to have a larger fraction YR stretches than any other genus (see Figure 1). As has been noted earlier, YR stretches may form Z-DNA in GC-rich sequences, and Z-DNA is highly unstable in bacteria . In general, YR stretches tend to be associated with genome arrangement and recombination [11, 12]. In mammals, Z-DNA formation has been found to generate large genetic alterations possibly associated with certain types of cancer . The observation that pathogenicity was a significant factor (p < 0.001) describing YR stretches in bacterial genomes was therefore of considerable interest.
The Burkholderia species are also known to contain many CG repeats which are, in general, associated with Z-DNA formation [1, 13]. Horizontal transfers and frequent DNA exchange is also common within the Burkholderia genus . The significance of the pathogenicity factor reduced to t~2.0 (p < 0.05) when the entire Burkholderia genus, consisting of 32 chromosomes, and the extreme outlier Treponema pallidum were removed from the dataset. In contrast, when the fraction of RR stretches was exchanged as response for the fraction of YR-stretches in the same model for the same dataset, the resulting significance was t = -0.4, p~0.7. The reduced dataset contained 194 pathogenic and 318 non-pathogenic chromosomes, while the main dataset included 222 pathogenic and 324 non-pathogenic chromosomes.
The finding that alternating pyrimidine/purine stretches of 10 bp or more are significantly associated with pathogenicity may indicate that YR tracts are positively correlated with genomic regions in bacteria that are susceptible to recombination or horizontal gene transfers resulting in the acquisition of pathogenicity islands. The fact that YR-stretches are underrepresented in prokaryotic genomes may suggest a counter selection of unstable regions. This is in stark contrast to what is observed in many eukaryotic organisms .
Purine stretches are overrepresented in all phyla except for the γ-Proteobacteria, Bacteroidetes/Chlorobi and α-Proteobacteria groups. Actinobacteria and β-Proteobacteria are the only groups found to have a lower than expected fraction of purine stretches. From figures 1 and 2 it can be seen that fractions of RR stretches were most diversely distributed in archaea, while β-Proteobacteria had the most varied distributions of YR stretches. The over- and underrepresentation of RR and YR stretches is also presumed to be influenced by DNA helix preference .
Both models revealed several important factors associated with the respective distribution of RR and YR stretches. The best model, in terms of R2, was obtained for the distribution of RR stretches. This implies that there may be different factors shaping the distributions of RR and YR stretches in bacterial genomes. This is supported by the regression models which found different factors significant. While AT content, extreme halotolerance, oxygen requirement, and growth temperature were significant factors in the RR based regression model, habitat and pathogenicity were found to be significant in the YR-model. The phyla factor was significantly associated with both RR and YR based regression models.
The model explaining RR stretches found oxygen requirement and growth temperature as important and significant factors (p < 0.001). GC content has been associated with oxygen requirement in prokaryotes . A slight, but significant (p < 0.001), improvement was obtained by adding the oxygen requirement factor to the RR-based regression model, but the addition of the growth temperature factor improved the model considerably. Why thermophilicity and halotolerance is linked with the distributions of purine tracts is not known, but RR-stretches appear to be more stable compared to YR-stretches . Genomic GC content resists any linear association with growth temperature (p > 0.5 from our data, using a transformed regression model) [16, 17]. However, the GC content of RNA genes has been found to correlate with growth temperature [18, 19], and purine tracts are overrepresented in mRNA sequences of thermophilic prokaryotes . The association between RR stretches and growth temperature was very clear compared to that of genomic AT content and growth temperature.
That AT content is an important factor for oligonucleotide frequencies has been noted previously . To what extent AT content affects the distribution of RR stretches in prokaryotes has, to the best of our knowledge, not been accurately described for prokaryotes (see Figure 3). It has been observed that many bacteria from the AT-rich Firmicutes group tend to prefer purines on the leading strand . Genomes having an overrepresentation of purine stretches on the leading strand have additionally been found to carry a PolC proof-reading enzyme . It is therefore also possible that an excessive distribution of purine stretches is associated with the polC gene. More data is needed however, before this can be examined further.
All regression models suffer from the effect of co-linearity. That is, several predictor variables overlap to some extent in terms of explaining the variance in the model. For instance, AT content has been found to correlate with genome size  and some co-linearity is also assumed between phyla and AT content. Therefore, the exact influence of the different predictors in the models can not be precisely stated and the models presented have the primary function of identifying significant influences as a starting point for further analysis.
Overrepresentation of YR stretches in Xanthonomonas oryzae MAFF 311018 is found to be associated with transposons and a 'RND complex' , both of which are connected to mobile genetic elements and horizontal transfer. The RND complex is also found in many other bacteria, and the associated outer membrane protein found in the Xanthonomonas oryzae MAFF 311018 genome is presumably promiscuous . Thus, preliminary analysis may indicate that YR-stretches may play some role in the life of mobile genetic elements and that this may be the link we found to pathogenicity.
The regression models varied in terms of goodness of fit/coefficient of determination (R2). The genomic distributions of YR stretches were not as adequately described by the regression model as the RR-stretches. This indicates that there are additional factors that remain to be identified for the YR-based regression model. The relatively high coefficient of determination obtained for both RR and YR-based regression models was surprising. It was of great interest to note that temperature was such an important factor in the RR-model, and that pathogenicity was significant in the YR-model.
We assume that the correlation between pathogenicity and YR-stretches is due to an increased tendency of Z-DNA formation in areas overrepresented with YR-stretches. Z-DNA formation has been associated with recombination and genetic rearrangements , and it may therefore be a higher probability of horizontal transfers, recombination and gene uptake in such areas. RR-stretches are known to be more stable than YR-stretches  and this is presumably the reason they are overrepresented in the genomes of thermo- and halophilic prokaryotes.
The genomic DNA sequences and information used in the models as factors were downloaded from the NCBI database . Only one strand from each species was included, and all plasmids were excluded. The total number of chromosomes was 546 representing 494 genomes from 22 different phyla. A computer program was written to count overlapping 10 bp RR/YR stretches using a 210 entry hash table containing the maximal number of occurring stretches. A variant of this program was made to find the difference between non-overlapping sliding windows and genome based frequencies of YR stretches. The program was used to examine overrepresented YR-stretches in Xanthonomonas oryzae MAFF 311018. The X. oryzae genome was chosen since it is a known plant pathogen  and it contains a relatively large fraction of YR stretches. Genomic regions with an YR-difference above 0.002 (0.2%) were BLASTed against Genbank [24, 26]. The sliding window size was set to 5 kbp. The programs are available by request from the corresponding author, and the dataset used is included as Additional file 1.
Chargaff's parity rule  states that the ratio of purines and pyrimidines is approximately equal in all genomic DNA sequences. We therefore expected that the frequency of both RR and YR stretches consisting of 10 nucleotides to be (1/2)10 or about ~0.001. In other words, it is expected that all possible combinations of 10 bp purine and pyrimidine stretches occur with 0.1% probability. This simple background model assumes that each nucleotide is independent of its nearest neighbor.
Oxygen, habitat, temperature, phyla and halotolerance were categorical factors. Oxygen requirement consisted of the factors: aerobic, anaerobic and facultative. The habitat factor consisted of the following categories: host-associated, specialized, terrestrial, multiple, and aquatic. Temperature was a factor with these given categories: psychrophilic, mesophilic and thermophilic. Halotolerance included the factors: non-halophilic, mesophilic, halophilic and extreme halophilic. Genome size was excluded from both models since it was not found to be significant.
Statistical analyses were performed with the program R .
Alternating pyrimidine/purine stretches of more than 10 bp
purine stretches of more than 10 bp
The authors wish to thank the referees for their constructive remarks and many helpful suggestions. In addition, Eystein Skjerve is thanked for help with the statistical analyses. JB is funded by the National Veterinary Institute of Norway and the Norwegian School of Veterinary Science. SH is funded by the Norwegian School of Veterinary Science, and DWU is funded by grants from the Danish Research Council.
- Ussery D, Soumpasis DM, Brunak S, Staerfeldt HH, Worning P, Krogh A: Bias of purine stretches in sequenced chromosomes. Comput Chem. 2002, 26: 531-541. 10.1016/S0097-8485(02)00013-X.View ArticlePubMedGoogle Scholar
- Paz A, Mester D, Baca I, Nevo E, Korol A: Adaptive role of increased frequency of polypurine tracts in mRNA sequences of thermophilic prokaryotes. Proceedings of the National Academy of Sciences of the United States of America. 2004, 101: 2951-2956. 10.1073/pnas.0308594100.PubMed CentralView ArticlePubMedGoogle Scholar
- Kirzhner V, Paz A, Volkovich Z, Nevo E, Korol A: Different clustering of genomes across life using the A-T-C-G and degenerate R-Y alphabets: Early and late signaling on genome evolution?. Journal of Molecular Evolution. 2007, 64: 448-456. 10.1007/s00239-006-0178-8.View ArticlePubMedGoogle Scholar
- Champ PC, Binnewies TT, Nielsen N, Zinman G, Kiil K, Wu H, et al: Genome update: purine strand bias in 280 bacterial genomes. Microbiology. 2006, 152: 579-583. 10.1099/mic.0.28637-0.View ArticlePubMedGoogle Scholar
- Sinden RR: DNA Structure and Function. 1994, Academic Press; San DiegoGoogle Scholar
- Hu JF, Zhao XQ, Yu J: Replication-associated purine asymmetry may contribute to strand-biased gene distribution. Genomics. 2007, 90: 186-194. 10.1016/j.ygeno.2007.04.002.View ArticlePubMedGoogle Scholar
- Wang G, Christensen LA, Vasquez KM: Z-DNA-forming sequences generate large-scale deletions in mammalian cells. Proc Natl Acad Sci USA. 2006, 103: 2677-2682. 10.1073/pnas.0511084103.PubMed CentralView ArticlePubMedGoogle Scholar
- Frost LS, Leplae R, Summers AO, Toussaint A: Mobile genetic elements: The agents of open source evolution. Nature Reviews Microbiology. 2005, 3: 722-732. 10.1038/nrmicro1235.View ArticlePubMedGoogle Scholar
- Wasaznik A, Grinholc M, Bielawski KP: [Active efflux as the multidrug resistance mechanism]. Postepy Hig Med Dosw (Online). 2009, 63: 123-133.Google Scholar
- Vaillant C, Audit B, Thermes C, Arneodo A: Formation and positioning of nucleosomes: effect of sequence-dependent long-range correlated structural disorder. Eur Phys J E Soft Matter. 2006, 19: 263-277. 10.1140/epje/i2005-10053-3.View ArticlePubMedGoogle Scholar
- Bacolla A, Jaworski A, Larson JE, Jakupciak JP, Chuzhanova N, Abeysinghe SS, et al: Breakpoints of gross deletions coincide with non-B DNA conformations. Proceedings of the National Academy of Sciences of the United States of America. 2004, 101: 14162-14167. 10.1073/pnas.0405974101.PubMed CentralView ArticlePubMedGoogle Scholar
- Wang G, Vasquez KM: Z-DNA, an active element in the genome. Front Biosci. 2007, 12: 4424-4438. 10.2741/2399.View ArticlePubMedGoogle Scholar
- Nierman WC, Deshazer D, Kim HS, Tettelin H, Nelson KE, Feldblyum T, et al: Structural flexibility in the Burkholderia mallei genome. Proc Natl Acad Sci USA. 2004, 101: 14246-14251. 10.1073/pnas.0403306101.PubMed CentralView ArticlePubMedGoogle Scholar
- Tuanyok A, Auerbach RK, Brettin TS, Bruce DC, Munk AC, Detter JC, et al: A horizontal gene transfer event defines two distinct groups within Burkholderia pseudomallei that have dissimilar geographic distributions. Journal of Bacteriology. 2007, 189: 9044-9049. 10.1128/JB.01264-07.PubMed CentralView ArticlePubMedGoogle Scholar
- Naya H, Romero H, Zavala A, Alvarez B, Musto H: Aerobiosis increases the genomic guanine plus cytosine content (GC%) in prokaryotes. J Mol Evol. 2002, 55: 260-264. 10.1007/s00239-002-2323-3.View ArticlePubMedGoogle Scholar
- Musto H, Naya H, Zavala A, Romero H, varez-Valin F, Bernardi G: Genomic GC level, optimal growth temperature, and genome size in prokaryotes. Biochem Biophys Res Commun. 2006, 347: 1-3. 10.1016/j.bbrc.2006.06.054.View ArticlePubMedGoogle Scholar
- Marashi SA, Ghalanbor Z: Correlations between genomic GC levels and optimal growth temperatures are not 'robust'. Biochem Biophys Res Commun. 2004, 325: 381-383. 10.1016/j.bbrc.2004.10.051.View ArticlePubMedGoogle Scholar
- Galtier N, Lobry JR: Relationships between genomic G+C content, RNA secondary structures, and optimal growth temperature in prokaryotes. Journal of Molecular Evolution. 1997, 44: 632-636. 10.1007/PL00006186.View ArticlePubMedGoogle Scholar
- Rudi K: Environmental Shaping of Ribosomal RNA Nucleotide Composition. Microbial Ecology. 2009, 57: 469-477. 10.1007/s00248-008-9446-z.View ArticlePubMedGoogle Scholar
- Reva ON, Tummler B: Global features of sequences of bacterial chromosomes, plasmids and phages revealed by analysis of oligonucleotide usage patterns. BMC Bioinformatics. 2004, 5: 90-10.1186/1471-2105-5-90.PubMed CentralView ArticlePubMedGoogle Scholar
- Worning P, Jensen LJ, Hallin PF, Staerfeldt HH, Ussery DW: Origin of replication in circular prokaryotic chromosomes. Environ Microbiol. 2006, 8: 353-361. 10.1111/j.1462-2920.2005.00917.x.View ArticlePubMedGoogle Scholar
- Mitchell D: GC content and genome length in Chargaff compliant genomes. Biochem Biophys Res Commun. 2007, 353: 207-210. 10.1016/j.bbrc.2006.12.008.View ArticlePubMedGoogle Scholar
- Poole K: Efflux pumps as antimicrobial resistance mechanisms. Annals of Medicine. 2007, 39: 162-176. 10.1080/07853890701195262.View ArticlePubMedGoogle Scholar
- National Center for Biotechnology Information. 2007, Ref Type: Internet Communication, [http://www.ncbi.nlm.nih.gov/Genomes/]
- Iyer-Pascuzzi AS, McCouch SR: Recessive resistance genes and the Oryza sativa-Xanthomonas oryzae pv. oryzae pathosystem. Molecular Plant-Microbe Interactions. 2007, 20: 731-739. 10.1094/MPMI-20-7-0731.View ArticlePubMedGoogle Scholar
- Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215: 403-410.View ArticlePubMedGoogle Scholar
- Chargaff E: Structure and function of nucleic acids as cell constituents. Fed Proc. 1951, 10: 654-659.PubMedGoogle Scholar
- R Development Core Team: R: A Language and Environment for Statistical Computing. [2.5.1]. 2007, Ref Type: Computer Program, [http://www.r-project.org/]Google Scholar
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