PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of bmcgenoBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Genomics
 
BMC Genomics. 2010; 11: 103.
Published online Feb 10, 2010. doi:  10.1186/1471-2164-11-103
PMCID: PMC2836286
Distinct, ecotype-specific genome and proteome signatures in the marine cyanobacteria Prochlorococcus
Sandip Paul,#1 Anirban Dutta,#1 Sumit K Bag,2,3 Sabyasachi Das,2,4 and Chitra Duttacorresponding author1,2
1Structural Biology & Bioinformatics Division, Indian Institute of Chemical Biology, 4, Raja S. C. Mullick Road, Kolkata - 700 032, India
2Bioinformatics Centre, Indian Institute of Chemical Biology, 4, Raja S. C. Mullick Road, Kolkata - 700 032, India
3Present address: Plant Molecular Biology & Genetic Engineering Division, National Botanical Research Institute, Rana Pratap Marg, Lucknow - 226001, India
4Present address: Department of Pathology and Laboratory Medicine, Emory Vaccine Center, School of Medicine, Emory University, Atlanta, GA 30322, USA
corresponding authorCorresponding author.
#Contributed equally.
Sandip Paul: websandip/at/gmail.com; Anirban Dutta: webanirban/at/gmail.com; Sumit K Bag: sumitbag/at/yahoo.com; Sabyasachi Das: sdas8/at/emory.edu; Chitra Dutta: cdutta/at/iicb.res.in
Received October 5, 2009; Accepted February 10, 2010.
Background
The marine cyanobacterium Prochlorococcus marinus, having multiple ecotypes of distinct genotypic/phenotypic traits and being the first documented example of genome shrinkage in free-living organisms, offers an ideal system for studying niche-driven molecular micro-diversity in closely related microbes. The present study, through an extensive comparative analysis of various genomic/proteomic features of 6 high light (HL) and 6 low light (LL) adapted strains, makes an attempt to identify molecular determinants associated with their vertical niche partitioning.
Results
Pronounced strand-specific asymmetry in synonymous codon usage is observed exclusively in LL strains. Distinct dinucleotide abundance profiles are exhibited by 2 LL strains with larger genomes and G+C-content ≈ 50% (group LLa), 4 LL strains having reduced genomes and G+C-content ≈ 35-37% (group LLb), and 6 HL strains. Taking into account the emergence of LLa, LLb and HL strains (based on 16S rRNA phylogeny), a gradual increase in average aromaticity, pI values and beta- & coil-forming propensities and a decrease in mean hydrophobicity, instability indices and helix-forming propensities of core proteins are observed. Greater variations in orthologous gene repertoire are found between LLa and LLb strains, while higher number of positively selected genes exist between LL and HL strains.
Conclusion
Strains of different Prochlorococcus groups are characterized by distinct compositional, physicochemical and structural traits that are not mere remnants of a continuous genetic drift, but are potential outcomes of a grand scheme of niche-oriented stepwise diversification, that might have driven them chronologically towards greater stability/fidelity and invoked upon them a special ability to inhabit diverse oceanic environments.
Evolution of a microbe is often driven by its environment or life-style. Microorganisms adapted to some specialized environmental conditions have been reported to display conspicuous genome and/or proteome features [1-8]. Species of widely varying taxonomic origins, but thriving in same/similar environmental conditions such as high temperature or high salinity, may converge to similar genome and/or proteome composition. In contrast, closely related bacterial species inhabiting distinct ecological niches may display substantial genomic diversity [1-3,6,8-11]. Unveiling the plausible causes/consequences, at the genome and proteome levels, of such niche-dependent evolution of the microbial world poses a major challenge to the present-day life-scientists. The marine cyanobacterium Prochlorococcus marinus [12], having multiple ecotypes exhibiting distinct niche-specific phenotypic as well as genotypic characteristics, offers a useful system to address this issue.
Prochlorococcus are one of the most abundant life forms on this planet and more importantly, are major contributors to global photosynthesis [13-15]. A variety of Prochlorococcus strains, each specialized to dwell in different conditions of light, temperature and nutrient abundances [14,16-18] dominate the euphotic zones of the ocean - mostly between latitudes 40°S and 40°N, and sometimes beyond. To date, the complete genomes of 12 different strains of P. marinus have been sequenced (listed in Table Table1)1) and wide variations have been observed in genetic architectures, genome sizes and genomic G+C-content of these strains [19]. On the basis of vertical niche partitioning, these 12 strains are classified into two major Prochlorococcus ecotypes: high light adapted (HL) ecotype being most abundant in surface waters and low light adapted (LL) ecotype dominating deeper waters [19,20]. 6 of the sequenced strains have been identified to belong to the LL group and the other 6 have been found to survive at HL conditions [19]. The phenomenon of oceanic niche differentiation for P. marinus has been previously investigated into - and several inferences regarding the effects of light adaptation, nutrient availability and predator influence on their genome evolution and diversification has been arrived at [21-24]. However, the full expanse of ecologically relevant differences in genomic, physicochemical and physiological characteristics among these strains are yet to be explored. In the present study, we have attempted to identify novel niche-specific molecular signatures in the genome and proteome compositions of 12 different Prochlorococcus strains, and also investigated the adaptive strategies of different Prochlorococcus strains for their survival in diverse oceanic environments.
Table 1
Table 1
General features of 12 Prochlorococcus strains under study
It is worth mentioning in this context that Prochlorococcus is the first documented example of genome shrinkage along with A+T enrichment in a free-living organism [25]. Earlier examples of genome reduction had been restricted to endosymbionts or pathogens with a host-dependent lifestyle, which evolve under the constraint of frequent population bottlenecks with a subsequent increase in genetic drift [2,3,26-29]. Considering the abundance of P. marinus in the marine ecosystem, their reductive genome evolution might not be influenced by similar population bottlenecks and resulting genetic drifts, and thus seems to be a more complex phenomenon to explain. Although P. marinus genome evolution has been investigated previously [25,30] and the event of genome shrinkage have been ascribed to various factors related to their growth in oligotrophic waters [20,23,31], selection for metabolic economy [25,31,32], loss of low fitness genes [33], and smaller cell sizes [25], it is still unclear to what extent it has been driven by any random genetic drift and/or other specific selection force(s). Our analyses indicate that the ecotype-specific molecular signatures exhibited by P. marinus strains under study are not mere remnants of a continuous genetic drift, but a potential outcome of niche-oriented stepwise diversification of Prochlorococcus, orchestrated by an array of interplaying adaptive forces.
In an attempt to understand the trends in molecular evolution in Prochlorococcus, we have analyzed various genome and proteome characteristics of 6 LL and 6 HL strains of P. marinus. The analyses of genome/proteome in P. marinus include the study of trends in codon, dinucleotide and amino acid usages, gene synteny of orthologous sequences, intergenic sequence composition, physicochemical properties of the encoded proteins and the extent of positive selection among different strains. These analyses were primarily directed towards the identification of niche-specific variations within different Prochlorococcus strains.
Strand-specific asymmetry in synonymous codon usage in low light adapted P. marinus genomes
In order to find out the trends in synonymous codon usage, we have carried out correspondence analysis (COA) on relative synonymous codon usage (RSCU) of 12 different strains of P. marinus. Figure Figure11 shows the positions of the individual genes on the planes defined by the first and second major axes generated by COA on RSCU values of coding sequences of respective Prochlorococcus genomes under study. Interestingly, in cases of all LL strains, the genes transcribed from the leading and the lagging strands of replication are segregated in two distinguishable clusters (with little overlap between them), either along Axis1 or Axis2 or both. Similar scatter plots with two distinct clusters of genes were observed earlier in cases of microbial genomes with pronounced strand-specific mutational bias [2,3,34,35]. When the positions of all synonymous codons are plotted on the plane defined by the first and second major axis of COA on RSCU for genes of all LL strains (plot not shown), a clear separation between G-/U- ending codons and A-/C- ending codons is observed, indicating the presence of asymmetric mutational bias at synonymous codon usage level in low light (LL) adapted genomes of P. marinus. In contrast, for each of the HL strains, a single cluster of genes (i.e., no segregation between the leading and lagging strand genes) is found on the Axis1-Axis2 plane of COA on their RSCU values (Figure (Figure1),1), suggesting the absence of any pronounced strand-specific asymmetry in their synonymous codon usage. For all LL strains, GT3-content of genes exhibit significant correlations with Axis1 and/or Axis2 values (Table (Table2).2). 3 of the 6 LL strains, viz. LL1, LL3 and LL4 show highly significant correlations between Axis1 and GT3-content of genes, whereas LL2, LL5 and LL6 strains show significantly high correlations between Axis2 and GT3-content (Table (Table2).2). In LL strains the positions of the leading and lagging strand genes on the planes defined by Axis1 and Axis2 of COA (Figure (Figure1),1), therefore, clearly indicate the overall GT3-richness of the leading strand genes. However, for the HL strains of Prochlorococcus, the percentage of variance explained by the first two principal axes are relatively low and the correlation values of these axes with GC3- or GT3-contents of genes are either insignificant or much lower than those observed for LL strains (Table (Table2).2). This suggests that no single axis and/or parameter can explain strand-specific variations in synonymous codon usage of HL strains.
Figure 1
Figure 1
Position of genes on the planes defined by the first (horizontal Axis1) and second (vertical Axis2) major axes generated by COA on RSCU values of coding sequences for each of the 12 Prochlorococcus strains (a to l). Genes transcribed from the leading (more ...)
Table 2
Table 2
General features and correlations of GC3 and GT3 content with first two axes of COA on RSCU values of genes in 12 Prochlorococcus genomes
Chi-square tests on occurrences of different codons on two replicating strands of representative LL strains (LL1 and LL6) further reveal significant overrepresentation of 28 and 22 G-/U- ending codons on the leading strands of LL1 and LL6 respectively (p < 0.001); while 28 and 25 A-/C- ending codons are overrepresented in the genes encoded on the lagging strands of LL1 and LL6 respectively (p < 0.001) (Additional files 1 and 2). The codon 'CUG' is the only exception, which, in spite of being G-ending, is significantly overrepresented in the lagging strand genes of LL1.
In microbial genomes characterized by pronounced strand asymmetry [2,3,34,35], replicational-transcriptional selection usually play a major role in shaping genome organization. The leading strands of replication of such organisms, in general, contain higher number of genes due to replicational selection, and are also enriched with highly expressed genes as an effect of transcriptional selection. However, in LL strains of P. marinus, the predicted protein coding sequences are found to be distributed almost equally in two strands. In fact, in three LL strains (LL1, LL2 and LL3), the number of predicted protein coding sequences are lower in the leading strands than in the lagging strands (approximately 48% in the leading strands and 52% in the lagging strands), indicating the absence of replicational selection. The lagging strands of the strains MIT9313 (LL1) and MIT9303 (LL2) are also found to be enriched in ribosomal proteins, which are typically highly expressed. Only two such genes are encoded by each of their leading strands, leaving 36 and 37 ribosomal proteins to be encoded by their lagging strands (LL1 and LL2 respectively). For other LL strains, the distribution of ribosomal genes is quite conventional (≈ 25 on leading strands and ≈ 12 on lagging strands). However, most of the other potentially highly expressed genes (e.g., RNA polymerases, transcription and translation processing factors, etc.), are present in higher numbers in the leading strands of all LL strains. Hence it is difficult to arrive at any definite conclusion regarding the effects of transcriptional selection on the LL strains of Prochlorococcus.
Larger extent of genomic rearrangements between small and large P. marinus genomes
In order to understand the nature and extent of genomic rearrangements during the events of niche specific diversification, we have analyzed the conservation of the relative order or synteny of orthologs across the chromosomes of different P. marinus strains. Figure Figure22 represents graphically, the gene synteny of 519 orthologs (see methods) in three low light (LL1, LL3 and LL6) and two high light adapted (HL3 and HL4) strains of P. marinus. The low light strains of Prochlorococcus have considerable variations in their genomic size and G+C-content (Table (Table1).1). The LL1 strain here represents the high G+C and large genome containing LL strains, while the LL3 & LL6 strains represent the other members of the LL group which have lower G+C-content and reduced genome size. HL3 and HL4 strains are representatives of the HL group, which also share smaller genome and lower G+C content. Interestingly, the extent of variation in order and orientation of orthologous genes between two strains of similar light optima but of distinct genome sizes and G+C-content (viz., between LL1 and LL3, Figure Figure2),2), is significantly greater than that between two strains with distinct light optima, but having similar genome size and G+C-content (e.g., between LL6 and HL3). It is worth mentioning at this point that this conclusion holds good for all 12 P. marinus strains under study, i.e., the results will be similar even if the representative strains selected here are replaced with any other strains form the groups they represent. The analysis, therefore, suggests that genome reduction in P. marinus has been accompanied by numerous seemingly random genome rearrangements such as translocations and inversions. Amongst the reduced genomes, the order and orientation of orthologous gene clusters remain more or less conserved except some local reorientation of genome fragments, the number and extent of reorientations being higher between the strains with distinct light adaptation (Figure (Figure22).
Figure 2
Figure 2
Order of arrangement of 519 orthologs on chromosomes of 5 representative Prochlorococcus strains (LL1, LL3, LL6, HL3 and HL4). The red and blue lines join the locations of pair of orthologs on the linearly depicted chromosomes. Red lines indicate presence (more ...)
Niche-specific dinucleotide abundance values of P. marinus genomes
It has been reported previously that dinucleotide abundance values are usually similar in related species and can be regarded as a genome signature [36]. To understand the patterns in dinucleotide signature, we have calculated dinucleotide abundance values for all P. marinus genomes and also for E. coli (a representative outgroup). The genomic G+C-bias of E. coli is similar to that of LL1 and LL2 Prochlorococcus strains. The results are shown diagrammatically in Figure Figure3.3. Some Prochlorococcus-specific trends are exhibited by all P. marinus organisms under study, irrespective of their G+C-bias or ecological adaptation. For instance, the dinucleotide CG is appreciably overrepresented in E. coli, but significantly underrepresented in all P. marinus, including the strains which have similar G+C-content to that of E. coli. Contrasting trends in E. coli and P. marinus strains are also observed for the dinucleotides AG/CT and GA/TC. The dinucleotide abundance values of AC/GT are also significantly underrepresented in all P. marinus strains, but not in E. coli.
Figure 3
Figure 3
Plot of dinucleotide abundance profiles of E. coli and 12 Prochlorococcus strains. Differently coloured lines join the abundance values of dinucleotide pairs for each of the organisms. Abundance values ≥ 1.23 or ≤ 0.78 are significantly (more ...)
However, significant intra-Prochlorococcus differences are also present in dinucleotide abundance profiles, on the basis of which all P. marinus strains under study may be divided into three distinct groups:
(a) Group LLa, comprised of the two LL strains P. marinus MIT 9313 (LL1) and MIT 9303 (LL2) - both having larger genomes (≈ 2.5 MB) and average G+C-content ≈ 50%: Genomes of these two strains are characterized by significantly high values of CA/TG and low values of TA (Additional file 3). The values for AT, AC/GT and CG are also relatively higher and that of CC/GG are lower, as compared to other P. marinus strains.
(b) Group LLb, consisting of other four LL strains (LL3, LL4, LL5 and LL6), characterized by relatively lower G+C-content (between 35% - 37%) and small genome size (< 2 MB): These four LL strains exhibit highly similar patterns, which are visibly distinct mainly at CA/TG and CC/GG from the almost overlapping profile of HL strains (Figure (Figure33).
(c) Group HL, including all 6 HL strains having reduced genome and G+C-content ≈ 31%: The dinucleotide CC/GG is significantly overrepresented only in the HL Prochlorococcus strains.
Clustering by amino acid composition reveals a balance between genomic G+C-bias and Prochlorococcus-specific selection forces
In an attempt to investigate whether the strand-specific mutational bias has any impact on amino acid usage in gene products of LL strains of P. marinus in comparison to their HL counterparts, we performed correspondence analysis (COA) on relative amino acid usage (RAAU) of the encoded proteins of each organism. No clear segregation can be observed for proteins encoded by the leading and lagging strands in any of the P. marinus genomes under study (data not shown), implying that the strand-specific mutational bias has hardly any influence on the amino acid compositions of the gene products of LL strains of Prochlorococcus. In all the strains of P. marinus, the first three axes generated by COA on amino acid usage cumulatively explain about 39% of the total variability. Both mean hydrophobicity and aromaticity of the encoded proteins exhibit strong correlations with either of the first two principal axes and seem to be the major contributors to amino acid usage variation in P. marinus proteins (data not shown).
In order to check whether the amino acid usage patterns in LL and HL groups of Prochlorococcus follow any specific trends, we carried out a clustering analysis on relative abundances (with respect to E. coli) of different amino acid residues of each organism (Figure (Figure4)4) in a dataset comprising of all P. marinus strains under study along with a cyanobacterial representative Cyanothece sp. (having G+C-content similar to those of E. coli and two LLa strains), and two non-cyanobacterial species - the bacteroidetes/chlorobi G. foresetii (average genomic G+C-content = 36.6%, similar to those of LLb strains) and the epsilon-proteobacteria C. jejuni (average genomic G+C-content = 30.3%, similar to those of HL strains). Branching patterns suggest an optimization between the G+C-bias and P. marinus group-specific selection for amino acid usage. As can be seen in Figure Figure4,4, a major branching between the organisms occurs according to the average genomic G+C-content. Organisms having average G+C-content around 50% - viz. E. coli, Cyanothece sp. and the two LLa strains - cluster together under the node 'a', while the organisms with lower G+C-content (30-37%) form a distinct cluster at the node 'b'. However, within the A+T-rich or relatively G+C-rich clusters, finer segregation occur according to taxonomy, i.e., between the cyanobacterial and non-cyanobacterial species. For instance, node 'a' acts as a bifurcation point between the gamma-proteobacteria E. coli and the three cyanobacterial species, followed by another bifurcation at node 'c' between the two LLa strains and non-Prochlorococcus species Cyanothece. Similarly, within the A+T-rich cluster, the HL strains of P. marinus with G+C-content ≈ 30-31% club together with their LLb counterparts (average G+C-content ≈ 35-37%) under the node 'f', distinctly separated from C. jejuni and G. foresetii. Node 'f' also acts as the point of divergence of LLb and HL strains, which cluster separately under the nodes 'g' and 'j' (containing 4 LLb strains and 6 HL strains respectively). These observations indicate that though the amino acid usage patterns in Prochlorococcus are primarily guided by their directional mutational bias, other selection pressures must also have exerted some significant influence. Three cyanobacterial species, namely Cyanothece sp., P. marinus str. MIT9313 (LL1) and P. marinus str. MIT9303 (LL2) - all have nearly the same G+C-content as E. coli, yet their amino acid usage abundance patterns are quite distinct from that of E. coli. Similarly, the LLb and HL strains of P. marinus display significant differences in amino acid usage patterns from that of non- P. marinus species (G. foresetii and C. jejuni, respectively) having similar G+C-content. A careful examination of Figure Figure44 delineates the Prochlorococcus-specific features in amino acid usage patterns. For instance, as compared to E. coli, Thr is underrepresented in all strains of P. marinus, including those having ≈ 50% G+C-content (and also in C. jejuni, but not in Cyanothece and G. forsetti). Ser is overrepresented in all A+T-rich P. marinus species, especially in comparison to C. jejuni and G. foresetii. Tyr is typically underrepresented in all Prochlorococcus strains, compared to the non-Prochlorococcus species of similar G+C-content. Frequency of Phe is also relatively lower in Prochlorococcus in comparison to any other species of similar G+C-bias. All these observations suggest that the amino acid usage in P. marinus is a result orchestrated by the forces of species-specific selection acting on mutational bias and genetic drift.
Figure 4
Figure 4
Single linkage (Euclidean distances) clustering based on standardized amino acid usages (with respect to E. coli) of 12 Prochlorococcus strains and 4 other microbes, accompanied by a heatmap representation of the standardized amino acid usage values. (more ...)
Niche-specific variations in physicochemical and structural features of Prochlorococcus orthologs
In an attempt to have a better insight into the niche-specific physicochemical and structural properties of P. marinus proteins, if any, we performed a comparative analysis of the core proteins, i.e., proteins found to be present in all P. marinus strains under study. Different proteomic properties of 519 orthologous proteins between all 12 P. marinus strains are summarized in Table Table3,3, which shows a gradual increase in average aromaticity and pI values and decrease in mean hydrophobicity and instability indices of orthologs, as one moves from the members of group LLa to group LLb to group HL. In other words, the core proteins of LL strains are, in general, more hydrophobic, more acidic, less aromatic and less stable than their HL orthologs. The comparison of structural properties reveals that among the three groups, members of the group LLa exhibit the highest propensity for helix formation and lowest propensity for beta-sheet and coil formation. LLb group orthologs are characterized by intermediate values for all three propensities, and group HL orthologs display trends opposite to that of group LLa - i.e. lowest propensity for helix formation and highest propensity for beta-sheet/coil formation (Table (Table33).
Table 3
Table 3
Different amino acid indices and secondary structural traits of 519 orthologous proteins present in 12 Prochlorococcus strains
However, one may argue that these inter-group variations in physicochemical properties and structural propensities of P. marinus strains can only be a reflection of their varying genomic G+C-bias rather than being niche specific. In order to address this issue, we carried out a comparative analysis of various proteomic features of orthologous sequences from three representative P. marinus strains LL1, LL3 and HL3 (from groups LLa, LLb and HL respectively) with those of three other caynobacterial species, Synechococcus elongatus (55.5% G+C-content), Synechocystis sp.(47.4% G+C-content) and Nostoc sp.(41.3% G+C-content) as well as three non-cyanobacterial species namely E. coli, Bacillus cereus and Francisella tularensis. The non-cyanobacterial species were chosen as reference organisms, due to their close average genomic G+C-content to those of LLa, LLb and HL strains (50.8%, 35.5% and 32.3% for E. coli, B. cereus &F. tularensis, respectively), and the significant number of orthologs they share with these P. marinus strains. Values of different physicochemical parameters and structural propensities of the orthologs from these reference species and the representative P. marinus strains are summarized in the Table Table4.4. It reveals that the values of any specific parameter, say of hydrophobicity index or instability index, is in most cases, not comparable between orthologs from P. marinus strains and outgroup organisms of similar G+C-bias. For instance, the values observed for B. cereus are quite different from those of LL3 - the genomic G+C-content of both being quite similar. The average pI value of B. cereus proteins is not only significantly less than that of their LL3 orthologs, it is even lesser than LL1 proteins. The average instability index of B. cereus proteins is also much less than that of the Prochlorococcus orthologs. The average helix forming propensity of B. cereus proteins is closer to that of LL1 proteins, while their beta sheet forming propensity is almost same to that of HL3 proteins. Similarly, the aromaticity and instability indices or helix forming propensities of E. coli proteins are significantly different from those of Prochlorococcus strain LL1, while most of the F. tularensis protein characteristics differ widely from those of the P. marinus HL3 strain with similar G+C-bias. Comparing between the cyanobacterial species, amino acid indices and secondary structural traits of Synechococcus (the closest taxonomic relative of Prochlorococcus) seem to be guided by its G+C-content (Table (Table4:4: Set IV). The hydrophobicity values and the helix-forming propensities of the other two cyanobacteria also gradually decrease with decrease in genomic G+C-content within the set. However, the other indices and structural traits of Synechocystis and Nostoc do not reflect any systematic co-variation with their G+C-bias. These observations suggest that the variations in proteomic features of Prochlorococcus might not be a mere outcome of their G+C-bias, there could be significant influence of other selection forces as well.
Table 4
Table 4
Comparison between various amino acid indices and secondary structural traits of six sets of proteins of Prochlorococcus and non-Prochlorococcus orthologs
Higher positive selection between orthologs from strains with opposite light optima
In order to better understand the evolutionary trends in different P. marinus species having distinct genome composition and/or light adaptation, the rates of synonymous and non-synonymous substitutions (dS and dN) were calculated between 519 orthologous sequences of LL1, LL6 and HL3 strains (representatives of groups LLa, LLb and HL respectively), and the number of genes showing positive selection (dN > dS) between each possible pair of organisms were determined. Figure Figure55 depicts a Venn diagram for the number of positively selected genes among the strains under study. Out of 519 orthologs, maximum number of positively selected genes (90) is found between LL1 and HL3 - the strains that differ in genome size, G+C-composition and light adaptation. The strains LL6 and HL3 having nearly similar genome size and G+C-bias, but distinct light optima come next with 78 positively selected genes among them and the two strains LL1 and LL6 of the same light group, but distinct genome size and G+C-bias, exhibit the minimum number (68) of positively selected genes. Among these three sets, there are several genes, which are positively selected between any two out of the three possible pairs of P. marinus strains under study. There are 25 genes selected positively between HL3 and either of the LL strains i.e. between the strains of two opposite light optima, irrespective of their G+C-bias and genome size. 17 genes are positively selected between the strains of distinct G+C-bias and genome size - between the relatively G+C-rich and large genome strain LL1 and either of the A+T-rich and reduced genome strains LL6 or HL3. Only 7 genes display common positive selection between LL6 and LL1 (the strains with similar light adaptation but of different genome size and G+C-bias) and between LL6 and HL3 (the strains having relatively lower G+C-bias and genome size). Thus, our study indicates the presence of a considerable positive selection pressure in diversification of the Prochlorococcus core genome, which in turn, suggests an appreciable role of random genetic drift in vertical niche partitioning of the strains.
Figure 5
Figure 5
Venn diagram depicting the number of positively selected (dN/dS > 1) orthologs between pairs of different Prochlorococcus strains. The 519 core proteins of 3 representative organisms (LL1, LL6 & HL3) were considered for the analysis. d (more ...)
Pronounced effects of directional mutational bias in the intergenic regions of HL P. marinus strains
In an attempt to examine whether the G+C-bias of intergenic regions of the different strains (with varying genomic G+C-content), follow trends similar to the respective coding regions, G+C-content of intergenic regions were calculated. The intergenic regions are, in general, more A+T rich than the overall genomic G+C-content of respective organisms (Additional file 4). Also, the A+T bias of intergenic regions are more pronounced in HL strains than their LL counterparts.
Unconstrained intergenic regions are more prone to mutational change. Accumulation of unfavourable mutations may render a coding region nonfunctional, facilitating its removal from the genome in course of time. We have identified probable remnants of coding sequences within intergenic regions of two representative Prochlorococcus strains having reduced genomes (LL6 and HL3). The G+C-content of these remnants are, in most cases, higher than that of average intergenic DNA, but lower than the average G+C-content of the bona fide coding regions (Table (Table55 and Additional file 5). These particular non-coding sequences, therefore, may be remnants of coding sequences that are in the process of being eliminated from the genome.
Table 5
Table 5
Putative remnants of coding regions and their G+C-content (%)
Exhibition of a wide range of genomic G+C-content (30.8% to 50.7%) and genome sizes (1.6 Mb to 2.7 Mb) by different strains of P. marinus, and also their adaptation to different ecological niches - a situation encountered rarely in the microbial world - demand detailed investigation. We have performed a large scale comprehensive study to critically analyze the direction and strength of mutational pressure and genomic/proteomic determinants associated with the adaptation of these strains to oceanic environments subject to different light intensities. From this study it appears that (a) low light adapted (LL) free living Prochlorococcus strains exclusively show strand asymmetry in synonymous codon usage, (b) general trends in amino acid usage in LLa, LLb and HL strains differ appreciably, (c) distinct dinucleotide abundance profiles are exhibited by LLa, LLb and HL strains, (d) higher number of genes have undergone positive selection between the strains with distinct light optima, i.e., between LL and HL strains and (e) there are definite trends in variations of different physicochemical and structural features in core proteomes of different groups of Prochlorococcus strains, which are not solely governed by their genomic G+C-bias. These observations, along with the findings on large-scale genome reduction associated with gradual increase in genomic A+T-content and extensive chromosomal rearrangements between different strains, strongly suggest a stepwise diversification of Prochlorococcus strains, in course of their adaptive evolution (Figure (Figure66).
Figure 6
Figure 6
Trends in genome/proteome evolution of Prochlorococcus, suggesting a stepwise diversification of the ecotypes. The model is based on the 16S rRNA phylogeny of the 12 strains, inferred from a bootstrap consensus tree (500 replicates) generated using the (more ...)
Among several genome/proteome signatures of P. marinus strains reported for the first time in this work, the most notable is the impact of pronounced replication-strand-specific asymmetry on synonymous codon usage, observed exclusively in the low light adapted strains of P. marinus (Figure (Figure1).1). This is noteworthy for two reasons: (i) Presence of pronounced strand-specific mutational bias with detectable influence on codon usage was observed so far mostly for obligatory intracellular microorganisms having reduced genomes [2,3,5]. Interestingly, all 6 LL strains of P. marinus exhibiting strand-specific synonymous codon usage are free-living and two of them (LL1 and LL2) are characterized by relatively larger genome size. On the other hand, for the reduced genomes of 6 HL strains, no perceivable sign of strand asymmetry could be seen in their usage of synonymous codons. (ii) In most of the other microbial genomes with asymmetric mutational bias, the genes, especially the highly expressed ones, are present in the leading strands of replication in significantly higher numbers, the phenomenon referred to as replicational-transcriptional selection [2,3,34,35]. No such definite significant bias in gene distribution is observed in either of the strands of replication in the LL strains of P. marinus. Strand asymmetry in codon usage of Prochlorococcus, therefore, may not bear an explicit causality to the event of genome reduction or with replicational-transcriptional selection.
The homogenization of the strand asymmetric bias in the HL strains may be attributed, at least partially, to the absence of a specific type of DNA repair enzyme MutY. In previous studies of Rocap et al. [20] and Dufresne et al. [25] it have been shown that the enzyme MutY is absent in the strain P. marinus str. CCMP1986 (HL3), while it is present in P. marinus str. CCMP1375 (LL3) and P. marinus str. MIT9313 (LL1). MutY, an A/G-specific DNA glycosylase, acts with MutT (NTP pyrophosphohydrolase) and MutM (formamido-pyrimidine-DNA glycosylase) to avoid misincorporation of oxidized guanine (8-oxoG) in DNA and to repair the base mismatches A:8-oxoG [37]. Knocking out both mutM and mutY in E. coli results in a 1,000-fold increase of G:C to A:T transversions in comparison to the wild-type strain [38]. Our analysis reveals (through BLASTP search) that mutY is present only in the LL strains, but not in any of the 6 HL strains. The excess number of 'G's present in the leading strands of LL strains might have transversed to 'A's in the HL strains due to the absence of mutY in the later, and this in turn, caused a simultaneous increase of 'T's in the lagging strands, eventually leading to homogenization of the G+T and A+C frequencies in two strands of replication in the HL strains. Existing mutational drift towards A+T-enrichment in the HL strains might also have facilitated achieving the uniformity in those strains. Further insights may be accumulated in this regard with the availability of more completely sequenced Prochlorococcus genomes in future.
In the process of gradual genome reduction, mutations often accumulate in expendable genes, thereby transforming them, by degrees, to pseudogenes, to small fragments, to extinction [39]. In the reduced genomes of P. marinus, we have found some putative remnants of coding regions, the A+T-content of which are, in general, higher than that of coding regions, but lower than other non-coding regions. This is in agreement with the fact that the reduced genomes of P. marinus (especially those of HL strains) are subject to a strong mutational A+T-drift, and will therefore result in gradual A+T-enrichment of the genic remnants already released from amino-acid-coding constraints in recent past. The base composition of such remnants is expected to gradually approach the A+T-content of bona fide non-coding regions.
Comparison of orthologous gene synteny from five representative strains having different genome size and G+C-content clearly points at a high level of chromosomal rearrangement during genome shrinkage in Prochlorococcus. This finding is in agreement with earlier findings on association of chromosomal rearrangement events with higher rates of chromosomal evolution and/or the phenomenon of genome reduction, as in Arabidopsis thaliana [40] and different endoparasites/endosymbionts [41,42]. Intra-chromosomal recombination at duplicated sequences often results in deletion of intervening sequences, and rearrangement of flanking regions, thereby leading to genome shrinkage [39].
Previous analyses with endosymbiotic or endoparasitic organisms like Bartonella, Tropheryma, Buchnera, Wigglesworthia etc. [2,3,28,29] revealed that the phenomenon of genome reduction is normally associated with population bottlenecks or other mechanisms such as selective sweeps. In case of the hyperthermophile Nanoarchaeum equitans, extreme genome reduction is a feature of its thermoparasitic adaptation [1]. Although our knowledge of bacterial populations in open oceans is not exhaustive, it may certainly be assumed that P. marinus ecotypes, the most abundant free-living marine cyanobacteria and an important contributor to global photosynthesis, are not subject to small population sizes [13-15,30]. More importantly, the HL strains with reduced genomes are apparently biologically superior than their LL counterparts [21]. It is possible that the bias towards reduced A+T rich genomes in HL strains is consistent with cellular economy at regions with limited nitrogen and phosphorous near the ocean surface. Scarcity of these elements that are essential in DNA synthesis favors the incorporation of an AT base-pair containing seven atoms of nitrogen, one less than a GC base-pair. It is worth mentioning at this point that the trends in amino acid usage in different P. marinus strains, as observed in this study are quite compatible with the earlier report by Lv et al. [43] on influence of resource availability on proteome composition of these species. For instance, increase in overall aromaticity from LLa to LLb and HL strains is in full agreement with the observations by Lv et al. [43] on increased carbon-content in the encoded proteins of different HL strains as compared to that of LL strains. The average instability indices of the HL proteins are significantly lower than those of their LL orthologs, suggesting that the HL proteins, in general, may be more stable. Proteins characterized by higher percentages of helix structures, experience increased overall packing that imparts more rigidity [44] and, hence, a decrease in regions with helix-forming propensities with a subsequent increase in coiled structures in HL proteins probably makes them more flexible. It is also tempting to presume that higher values of aromaticity and pI in HL proteins, as compared to LL orthologs, might facilitate cation-pi interactions in the former, imparting more stability. The central issue in the adaptation of HL proteins to their environmental niches may, therefore, be the conservation of their functional state, characterized by a well-balanced optimization of stability and flexibility.
Conclusion
The current study advocates for the presence of adaptive selection forces that might have played significant role in governing Prochlorococcus evolution and fitness at the genome and proteome levels. An optimization between these adaptive forces and directional mutational bias has set definite trends in molecular evolution of P. marinus. This characterizes different P. marinus ecotypes with distinct niche-specific compositional, physicochemical and structural traits, thereby driving them chronologically towards increasing stability and/or fidelity.
Sequence retrieval
All predicted protein coding sequences and the complete genome sequences of the 12 different strains of P. marinus were retrieved from the NCBI GenBank (listed in Table Table1).1). For comparison, the predicted protein coding sequences of E. coli (NC_000913.2), Bacillus cereus (NC_003909.8), Francisella tularensis (NC_006570.1), Synechococcus elongatus (NC_006576.1), Synechocystis sp. (NC_000911.1), Nostoc sp. (NC_003272.1), Campylobacter jejuni (NC_003912.7), Cyanothece (NC_011884.1) and Gramella forsetii (NC_008571.1) were also retrieved from GenBank. Annotated ORFs, which encode proteins less than 100 amino acids long, were not considered for further analysis.
Determination of leading and lagging strand genes
In order to identify the replication origin (oriC) or termination (ter) sites we performed GC-skew (G-C/G+C) analysis using a sliding window of 10 Kb along the genome sequence. The sites were validated by checking the neighbouring gene organization (e.g. identified origins in Prochlorococcus genomes were flanked by DNA polymerase beta subunit III gene on the 3' side and the Threonine synthatase gene on the 5' side) and the presence of DnaA boxes in their vicinity [45]. Based on the predicted oriC and ter sites (Additional file 6), the leading strands and lagging strands of replication for each genomes were identified along with the genes encoded on the two strands.
Multivariate analyses on synonymous codon and amino acid usage and cluster analysis on amino acid usage
Correspondence analysis (COA) on relative synonymous codon usage (RSCU) and amino acid usage of genes/proteins were performed on individual genomes in order to identify any significant variation in the usage of codons or amino acids, if present, and help ascertain the underlying cause(s), using the program CODONW 1.4.2 [46].
To find out the variation in amino acid usage between LL and HL Prochlorococcus strains, a cluster analysis on standardized amino acid usage was carried out using STATISTICA (version 6.0, published by Statsoft Inc., USA) for all 12 Prochlorococcus organisms (Table (Table1)1) along with E. coli, Cyanothece, C. jejuni and G. forsetii having G+C-content nearly equal to the different LL and HL strains. The amino acid usage of E. coli was chosen as a well-defined reference for standardizing the amino acid composition for the analysis and to produce an accompanying heat map. With the help of a program developed in-house in Visual Basic, a 16 × 20 matrix (heatmap) was generated, where the rows and the columns correspond to data sources (i.e., organisms in the cluster) and standardized amino acid usage values, respectively. The overrepresentation or underrepresentation of standardized amino acid usage values of the organisms in the matrix are shown in green or red colored blocks (Figure (Figure4)4) respectively, and their intensities varying in accordance with their deviation from the standard (yellow). The extreme left column represents the genomic G+C-content of the respective organisms.
Dinucleotide analysis of DNA sequences
For all Prochlorococcus genomes and E. coli, the dinucleotide abundance for each possible dinucleotide was calculated as the ratio between the observed and expected frequencies of the concerned dinucleotide in its genomic context [47]. Dinucleotide abundance values generally represent the genomic signature of any species [48] and here we were interested to see whether all Prochlorococcus genomes follow a similar trend or not.
Determination of orthologs
Stand alone BLAST package (ver. 2.2.18) was downloaded from the NCBI FTP site and using the package, all-to-all BLASTN and BLASTP searches were performed with the genes from all the 12 strains of P. marinus. Orthologs across these organisms were defined for this study as protein coding genes having a BLASTP sequence Identity ≥ 60%, not more than 20% difference in length and E-value ≤ 1e-20. The resultant list of 'orthologs' were checked for consistency with the data obtained from Genplot http://www.ncbi.nlm.nih.gov/sutils/geneplot.cgi, which houses a pair-wise list of genes giving mutually best BLASTP hits when all genes from the genomes of any two organisms are 'blasted' against each other. We have identified 519 orthologs present in all 12 P. marinus genomes as their core proteome. The stringent measures employed for the similarity search ensure that these orthologs have been sufficiently conserved throughout the adaptive evolution of P. marinus, and any niche-specific features deciphered from this dataset would certainly not be a trivial outcome. For comparative analysis with suitable outgroup organisms, we retrieved orthologs of nine organisms including three representative P. marinus strains (LL1, LL3 and HL3), E. coli, B. cereus, F. tularensis, S. elongatus, Synechocystis sp. and Nostoc sp. from NCBI GenePlot by filtering the symmetrical best hits of protein homologs.
Estimation of synonymous and non-synonymous substitution patterns in orthologous sequences
Positive selection can be inferred from a higher proportion of non-synonymous over synonymous substitutions per site (dN/dS > 1). The dN and dS values were calculated for 519 orthologs of LL1, LL6 and HL3 using the software MEGA (version 4) [49]. The calculation was based on the modified Nei-Gojobori Jukes-Cantor method that considers deviations from an equal frequency of transitions and transversions [50,51].
Gene synteny visualization
Comparison of the gene repertoire or gene synteny between 5 representative Prochlorococcus strains (LL1, LL3, LL6, HL3 and HL4) were carried out using a Java program developed in-house. It can represent the arrangement of orthologous genes between two chromosomes by joining the locations of the orthologs by differently coloured lines. The red lines represent the genes present on the same strand (+/-) and blue lines represent orthologs coded on different strands of chromosomes being compared.
Calculation of codon/amino acid usage indices and estimation of secondary structure of proteins
Indices like relative synonymous codon usage (RSCU) [52], G+C and G+T-content at third codon positions (GC3 & GT3 respectively), aromaticity and average hydrophobicity (Gravy score) [53] of protein coding sequences were calculated to find out the factors influencing codon and amino acid usages. The isoelectric point (pI) and instability index [54] of each protein were calculated using the Expasy proteomics server [55]. Secondary structures of the identified orthologs were computed using the software PREDATOR [56] and the varying percentages of the structural components (viz. helices, sheets, and coils) in proteins from different strains were also noted.
Identification of intergenic regions
The sequences coding for mRNAs and structural RNAs were noted from the protein table and structural RNA table respectively (available from NCBI) for each of the organisms. Intergenic regions were identified by subtracting the regions of these gene sequences from the whole genome. The overall G+C-content of the intergenic regions were calculated after concatenating all the intergenic sequences together, for each of the 12 Prochlorococcus strains. For identification of probable pseudogenes/remnants of coding DNA in LL6 and HL3 (two representative strains of groups LLb and HL having reduced genomes), their intergenic regions were subjected to a similarity search (tBlastX) against a pool of Prochlorococcal genes (consisting of sequences from three representative strains LL1, LL6, HL3). 48 hits for LL6 and 93 hits for HL3 were identified, having sequence identities ≥ 30%, aligned lengths ≥ 15 amino acids, and E-values < 1e-3.
Abbreviations
COA: correspondence analysis; LL: low light; HL: high light; pI: isoelectric point; RSCU: relative synonymous codon usage; GT3: G+T-content at third codon positions; GC3: G+C-content at third codon positions.
Authors' contributions
SP and AD made substantial contributions to the design of the study, devised and carried out the overall strategy and drafted the manuscript. SKB developed relevant programs for data mining and analysis of genome sequences and also participated in sequence analysis. SD participated in the initial phase of the work, made thoughtful discussion during execution of the project and preparation of the manuscript. CD conceived and coordinated the study and revised the manuscript critically for important intellectual content. All authors read and approved the final manuscript.
Additional file 1
Relative Synonymous Codon Usage of leading and lagging strand genes of P. marinus str. MIT9313 (LL1).
Additional file 2
Relative Synonymous Codon Usage of leading and lagging strand genes of P. marinus str. NATL2A (LL6).
Additional file 3
Dinucleotide abundance values of twelve P. marinus genomes and E. coli.
Additional file 4
Average G+C-contents (%) of the overall genome, coding sequences and intergenic sequences of 12 Prochlorococcus strains.
Additional file 5
List of putative remnants of coding regions in LL6 and HL3.
Additional file 6
Predicted locations of origins and termini of replication of the 12 Prochlorococcus strains.
Acknowledgements
We thank Sanjib Chatterjee and Avik Datta, IICB for giving technical support in calculating dinucleotide abundance and synonymous and non-synonymous divergence. This work was supported by the Department of Biotechnology, Government of India (Grant Number BT/BI/04/055-2001) and Council of Scientific and Industrial Research (Project no. CMM 0017). SP and AD are supported by Senior Research Fellowships from Council of Scientific and Industrial Research, India.
  • Das S, Paul S, Bag SK, Dutta C. Analysis of Nanoarchaeum equitans genome and proteome composition: indications for hyperthermophilic and parasitic adaptation. BMC Genomics. 2006;7:186. doi: 10.1186/1471-2164-7-186. [PMC free article] [PubMed] [Cross Ref]
  • Das S, Paul S, Chatterjee S, Dutta C. Codon and amino acid usage in two major human pathogens of genus Bartonella--optimization between replicational-transcriptional selection, translational control and cost minimization. DNA Res. 2005;12(2):91–102. doi: 10.1093/dnares/12.2.91. [PubMed] [Cross Ref]
  • Das S, Paul S, Dutta C. Evolutionary constraints on codon and amino acid usage in two strains of human pathogenic actinobacteria Tropheryma whipplei. J Mol Evol. 2006;62(5):645–658. doi: 10.1007/s00239-005-0164-6. [PubMed] [Cross Ref]
  • Eisenberg H. Life in unusual environments: progress in understanding the structure and function of enzymes from extreme halophilic bacteria. Arch Biochem Biophys. 1995;318(1):1–5. doi: 10.1006/abbi.1995.1196. [PubMed] [Cross Ref]
  • Moran NA, Wernegreen JJ. Lifestyle evolution in symbiotic bacteria: insights from genomics. Trends Ecol Evol. 2000;15(8):321–326. doi: 10.1016/S0169-5347(00)01902-9. [PubMed] [Cross Ref]
  • Paul S, Bag SK, Das S, Harvill ET, Dutta C. Molecular signature of hypersaline adaptation: insights from genome and proteome composition of halophilic prokaryotes. Genome Biol. 2008;9(4):R70. doi: 10.1186/gb-2008-9-4-r70. [PMC free article] [PubMed] [Cross Ref]
  • Pikuta EV, Hoover RB, Tang J. Microbial extremophiles at the limits of life. Crit Rev Microbiol. 2007;33(3):183–209. doi: 10.1080/10408410701451948. [PubMed] [Cross Ref]
  • Singer GA, Hickey DA. Thermophilic prokaryotes have characteristic patterns of codon usage, amino acid composition and nucleotide content. Gene. 2003;317(1-2):39–47. doi: 10.1016/S0378-1119(03)00660-7. [PubMed] [Cross Ref]
  • Bliska JB, Casadevall A. Intracellular pathogenic bacteria and fungi--a case of convergent evolution? Nat Rev Microbiol. 2009;7(2):165–171. [PubMed]
  • Merhej V, Royer-Carenzi M, Pontarotti P, Raoult D. Massive comparative genomic analysis reveals convergent evolution of specialized bacteria. Biol Direct. 2009;4:13. doi: 10.1186/1745-6150-4-13. [PMC free article] [PubMed] [Cross Ref]
  • Mongodin EF, Nelson KE, Daugherty S, Deboy RT, Wister J, Khouri H, Weidman J, Walsh DA, Papke RT, Sanchez Perez G. et al. The genome of Salinibacter ruber: convergence and gene exchange among hyperhalophilic bacteria and archaea. Proc Natl Acad Sci USA. 2005;102(50):18147–18152. doi: 10.1073/pnas.0509073102. [PubMed] [Cross Ref]
  • Chisholm S, Olson R, Zettler E, Goericke R, Waterbury J, Welschmeyer N. A novel free-living prochlorophyte abundant in the oceanic euphotic zone. Nature. 1988;334:340–343. doi: 10.1038/334340a0. [Cross Ref]
  • Goericke R, Welschmeyer N. The marine prochlorophyte Prochlorococcus contributes significantly to phytoplankton biomass and primary production in the Sargasso Sea. Deep-sea research Part 1 Oceanographic research papers. 1993;40(11-12):2283–2294. doi: 10.1016/0967-0637(93)90104-B. [Cross Ref]
  • Partensky F, Blanchot J, Vaulot D. Differential distribution and ecology of Prochlorococcus and Synechococcus in oceanic waters: a review. Bulletin de l'Institut océanographique(Monaco) 1999. pp. 457–475.
  • Partensky F, Hess WR, Vaulot D. Prochlorococcus, a marine photosynthetic prokaryote of global significance. Microbiol Mol Biol Rev. 1999;63(1):106–127. [PMC free article] [PubMed]
  • Moore LR, Rocap G, Chisholm SW. Physiology and molecular phylogeny of coexisting Prochlorococcus ecotypes. Nature. 1998;393(6684):464–467. doi: 10.1038/30861. [PubMed] [Cross Ref]
  • Urbach E, Scanlan DJ, Distel DL, Waterbury JB, Chisholm SW. Rapid diversification of marine picophytoplankton with dissimilar light-harvesting structures inferred from sequences of Prochlorococcus and Synechococcus (Cyanobacteria) J Mol Evol. 1998;46(2):188–201. doi: 10.1007/PL00006294. [PubMed] [Cross Ref]
  • West NJ, Scanlan DJ. Niche-partitioning of Prochlorococcus populations in a stratified water column in the eastern North Atlantic Ocean. Appl Environ Microbiol. 1999;65(6):2585–2591. [PMC free article] [PubMed]
  • Kettler GC, Martiny AC, Huang K, Zucker J, Coleman ML, Rodrigue S, Chen F, Lapidus A, Ferriera S, Johnson J. et al. Patterns and implications of gene gain and loss in the evolution of Prochlorococcus. PLoS Genet. 2007;3(12):e231. doi: 10.1371/journal.pgen.0030231. [PubMed] [Cross Ref]
  • Rocap G, Larimer FW, Lamerdin J, Malfatti S, Chain P, Ahlgren NA, Arellano A, Coleman M, Hauser L, Hess WR. et al. Genome divergence in two Prochlorococcus ecotypes reflects oceanic niche differentiation. Nature. 2003;424(6952):1042–1047. doi: 10.1038/nature01947. [PubMed] [Cross Ref]
  • Coleman ML, Chisholm SW. Code and context: Prochlorococcus as a model for cross-scale biology. Trends Microbiol. 2007;15(9):398–407. doi: 10.1016/j.tim.2007.07.001. [PubMed] [Cross Ref]
  • Garcia-Fernandez JM, Diez J. Adaptive mechanisms of nitrogen and carbon assimilatory pathways in the marine cyanobacteria Prochlorococcus. Res Microbiol. 2004;155(10):795–802. doi: 10.1016/j.resmic.2004.06.009. [PubMed] [Cross Ref]
  • Martiny AC, Coleman ML, Chisholm SW. Phosphate acquisition genes in Prochlorococcus ecotypes: evidence for genome-wide adaptation. Proc Natl Acad Sci USA. 2006;103(33):12552–12557. doi: 10.1073/pnas.0601301103. [PubMed] [Cross Ref]
  • Sullivan MB, Waterbury JB, Chisholm SW. Cyanophages infecting the oceanic cyanobacterium Prochlorococcus. Nature. 2003;424(6952):1047–1051. doi: 10.1038/nature01929. [PubMed] [Cross Ref]
  • Dufresne A, Garczarek L, Partensky F. Accelerated evolution associated with genome reduction in a free-living prokaryote. Genome Biol. 2005;6(2):R14. doi: 10.1186/gb-2005-6-2-r14. [PMC free article] [PubMed] [Cross Ref]
  • Berg OG, Kurland CG. Evolution of microbial genomes: sequence acquisition and loss. Mol Biol Evol. 2002;19(12):2265–2276. [PubMed]
  • Lynch M, Blanchard JL. Deleterious mutation accumulation in organelle genomes. Genetica. 1998;102-103(1-6):29–39. doi: 10.1023/A:1017022522486. [PubMed] [Cross Ref]
  • Wernegreen JJ. Genome evolution in bacterial endosymbionts of insects. Nat Rev Genet. 2002;3(11):850–861. doi: 10.1038/nrg931. [PubMed] [Cross Ref]
  • Wernegreen JJ, Moran NA. Evidence for genetic drift in endosymbionts (Buchnera): analyses of protein-coding genes. Mol Biol Evol. 1999;16(1):83–97. [PubMed]
  • Hu J, Blanchard JL. Environmental sequence data from the Sargasso Sea reveal that the characteristics of genome reduction in Prochlorococcus are not a harbinger for an escalation in genetic drift. Mol Biol Evol. 2009;26(1):5–13. doi: 10.1093/molbev/msn217. [PubMed] [Cross Ref]
  • Garcia-Fernandez JM, de Marsac NT, Diez J. Streamlined regulation and gene loss as adaptive mechanisms in Prochlorococcus for optimized nitrogen utilization in oligotrophic environments. Microbiol Mol Biol Rev. 2004;68(4):630–638. doi: 10.1128/MMBR.68.4.630-638.2004. [PMC free article] [PubMed] [Cross Ref]
  • Dufresne A, Salanoubat M, Partensky F, Artiguenave F, Axmann IM, Barbe V, Duprat S, Galperin MY, Koonin EV, Le Gall F. et al. Genome sequence of the cyanobacterium Prochlorococcus marinus SS120, a nearly minimal oxyphototrophic genome. Proc Natl Acad Sci USA. 2003;100(17):10020–10025. doi: 10.1073/pnas.1733211100. [PubMed] [Cross Ref]
  • Marais GA, Calteau A, Tenaillon O. Mutation rate and genome reduction in endosymbiotic and free-living bacteria. Genetica. 2008;134(2):205–210. doi: 10.1007/s10709-007-9226-6. [PubMed] [Cross Ref]
  • Lafay B, Lloyd AT, McLean MJ, Devine KM, Sharp PM, Wolfe KH. Proteome composition and codon usage in spirochaetes: species-specific and DNA strand-specific mutational biases. Nucleic Acids Res. 1999;27(7):1642–1649. doi: 10.1093/nar/27.7.1642. [PMC free article] [PubMed] [Cross Ref]
  • McInerney JO. Replicational and transcriptional selection on codon usage in Borrelia burgdorferi. Proc Natl Acad Sci USA. 1998;95(18):10698–10703. doi: 10.1073/pnas.95.18.10698. [PubMed] [Cross Ref]
  • Gentles AJ, Karlin S. Genome-scale compositional comparisons in eukaryotes. Genome Res. 2001;11(4):540–546. doi: 10.1101/gr.163101. [PubMed] [Cross Ref]
  • Michaels ML, Cruz C, Grollman AP, Miller JH. Evidence that MutY and MutM combine to prevent mutations by an oxidatively damaged form of guanine in DNA. Proc Natl Acad Sci USA. 1992;89(15):7022–7025. doi: 10.1073/pnas.89.15.7022. [PubMed] [Cross Ref]
  • Horst JP, Wu TH, Marinus MG. Escherichia coli mutator genes. Trends Microbiol. 1999;7(1):29–36. doi: 10.1016/S0966-842X(98)01424-3. [PubMed] [Cross Ref]
  • Andersson SG, Zomorodipour A, Andersson JO, Sicheritz-Ponten T, Alsmark UC, Podowski RM, Naslund AK, Eriksson AS, Winkler HH, Kurland CG. The genome sequence of Rickettsia prowazekii and the origin of mitochondria. Nature. 1998;396(6707):133–140. doi: 10.1038/24094. [PubMed] [Cross Ref]
  • Yogeeswaran K, Frary A, York TL, Amenta A, Lesser AH, Nasrallah JB, Tanksley SD, Nasrallah ME. Comparative genome analyses of Arabidopsis spp.: inferring chromosomal rearrangement events in the evolutionary history of A. thaliana. Genome Res. 2005;15(4):505–515. doi: 10.1101/gr.3436305. [PubMed] [Cross Ref]
  • Belda E, Moya A, Silva FJ. Genome rearrangement distances and gene order phylogeny in gamma-Proteobacteria. Mol Biol Evol. 2005;22(6):1456–1467. doi: 10.1093/molbev/msi134. [PubMed] [Cross Ref]
  • Mira A, Ochman H, Moran NA. Deletional bias and the evolution of bacterial genomes. Trends Genet. 2001;17(10):589–596. doi: 10.1016/S0168-9525(01)02447-7. [PubMed] [Cross Ref]
  • Lv J, Li N, Niu DK. Association between the availability of environmental resources and the atomic composition of organismal proteomes: evidence from Prochlorococcus strains living at different depths. Biochem Biophys Res Commun. 2008;375(2):241–246. doi: 10.1016/j.bbrc.2008.08.011. [PubMed] [Cross Ref]
  • Fleming PJ, Richards FM. Protein packing: dependence on protein size, secondary structure and amino acid composition. J Mol Biol. 2000;299(2):487–498. doi: 10.1006/jmbi.2000.3750. [PubMed] [Cross Ref]
  • Mackiewicz P, Zakrzewska-Czerwinska J, Zawilak A, Dudek MR, Cebrat S. Where does bacterial replication start? Rules for predicting the oriC region. Nucleic Acids Res. 2004;32(13):3781–3791. doi: 10.1093/nar/gkh699. [PMC free article] [PubMed] [Cross Ref]
  • Penden J. PhD thesis. University of Nottingham, Department of Genetics; 1997. Analysis of codon usage.
  • Karlin S, Burge C. Dinucleotide relative abundance extremes: a genomic signature. Trends Genet. 1995;11(7):283–290. doi: 10.1016/S0168-9525(00)89076-9. [PubMed] [Cross Ref]
  • Karlin S, Mrazek J, Campbell AM. Compositional biases of bacterial genomes and evolutionary implications. J Bacteriol. 1997;179(12):3899–3913. [PMC free article] [PubMed]
  • Tamura K, Dudley J, Nei M, Kumar S. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007;24(8):1596–1599. doi: 10.1093/molbev/msm092. [PubMed] [Cross Ref]
  • Nei M, Gojobori T. Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Mol Biol Evol. 1986;3(5):418–426. [PubMed]
  • Nei M, Kumar S. Molecular evolution and phylogenetics. Oxford University Press, USA; 2000.
  • Sharp PM, Li WH. The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications. Nucleic Acids Res. 1987;15(3):1281–1295. doi: 10.1093/nar/15.3.1281. [PMC free article] [PubMed] [Cross Ref]
  • Kyte J, Doolittle RF. A simple method for displaying the hydropathic character of a protein. J Mol Biol. 1982;157(1):105–132. doi: 10.1016/0022-2836(82)90515-0. [PubMed] [Cross Ref]
  • Guruprasad K, Reddy BV, Pandit MW. Correlation between stability of a protein and its dipeptide composition: a novel approach for predicting in vivo stability of a protein from its primary sequence. Protein Eng. 1990;4(2):155–161. doi: 10.1093/protein/4.2.155. [PubMed] [Cross Ref]
  • Expasy Proteomics Server. http://expasy.org
  • Frishman D, Argos P. Seventy-five percent accuracy in protein secondary structure prediction. Proteins. 1997;27(3):329–335. doi: 10.1002/(SICI)1097-0134(199703)27:3<329::AID-PROT1>3.0.CO;2-8. [PubMed] [Cross Ref]
Articles from BMC Genomics are provided here courtesy of
BioMed Central