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Genome Res. Jan 2004; 14(1): 44–53.
PMCID: PMC314276

Mutational and Selective Pressures on Codon and Amino Acid Usage in Buchnera, Endosymbiotic Bacteria of Aphids


We have explored compositional variation at synonymous (codon usage) and nonsynonymous (amino acid usage) positions in three complete genomes of Buchnera, endosymbiotic bacteria of aphids, and also in their orthologs in Escherichia coli, a close free-living relative. We sought to discriminate genes of variable expression levels in order to weigh the relative contributions of mutational bias and selection in the genomic changes following symbiosis. We identified clear strand asymmetries, distribution biases (putative high-expression genes were found more often on the leading strand), and a residual slight codon bias within each strand. Amino acid usage was strongly biased in putative high-expression genes, characterized by avoidance of aromatic amino acids, but above all by greater conservation and resistance to AT enrichment. Despite the almost complete loss of codon bias and heavy mutational pressure, selective forces are still strong at nonsynonymous sites of a fraction of the genome. However, Buchnera from Baizongia pistaciae appears to have suffered a stronger symbiotic syndrome than the two other species.

Bacteria have repeatedly quitted their normal free life to invade a new habitat, the eukaryotic cell. The complete transition, known as endosymbiosis, involved a revolution in the lifestyle of the prokaryote: A first major change concerned the availability of nutrients, because the new environment was more predictable, richer, and less competitive than the outside of cells. Another change was that the population dynamics of the symbiont became constrained by that of the host. Because of the several orders of magnitude difference in population size between free-living bacteria and eukaryotes, the transition implied a sharp decrease in population size for the symbiont. Additionally, with uniparental transmission of the symbionts, the reproductive mode became de facto asexual, bacteria losing the possibility of exchanging genetic material with other unrelated bacterial lineages, whereas within-host variability is kept low by regular intergenerational bottlenecks. Not surprisingly, endosymbiosis has systematically been characterized by spectacular genomic changes (Wernegreen 2002) defining a syndrome, which is comprised of (1) major reduction of the genome size due to loss of many genes, (2) AT enrichment, and (3) acceleration of the rate of evolution, notably at nonsynonymous sites.

The driving force behind each of these changes is not easy to identify; several conflicting interpretations have been proposed, which can be classified as negative, neutral, or even positive. For example regarding genome size, the reduction could be positively selected in the context of within-host competition, the shorter genomes replicating faster (Albert et al. 1996), or may be a result of gradual decay of genes, which are progressively eliminated from the genomes (Mira et al. 2001; Ochman and Moran 2001; Silva et al. 2001). In this view, gene loss could be the result of neutral evolution (by the loss of genes become useless in the host cell) or could be slightly deleterious.

However, the present article focuses on the second symptom associated with endosymbiosis, the shift in base composition. In Buchnera, the endosymbiont of aphids, most authors until recently attributed AT enrichment to a deleterious process (Moran 1996; Wernegreen and Moran 1999). Mutational bias probably results from greater basal mutabilities of GC versus AT bases (Graur and Li 2000), a general phenomenon which would be not countered by selection in this symbiont. In the context of reduced population sizes (resulting in increased drift) and vertical sequestration of bacterial lineages (resulting in effective asexuality), this would cause the progressive accumulation of slightly deleterious mutations. Genomic evolution in Buchnera has therefore been interpreted as an example of Muller's ratchet (Moran 1996; Rispe and Moran 2000) and in the framework of the near neutral theory (Ohta 1992), as it seems to be driven by the interaction of drift and weak selection. Several lines of evidence support this argument, that is, the general acceleration of evolutionary rates even in usually conserved RNAs (Moran 1996; Clark et al. 1999), the increased proportion of nonsynonymous mutations (Moran 1996), low levels of intraspecific polymorphisms (Funk et al. 2001; Abbot and Moran 2002), and the estimated decreased stability of rRNAs (Lambert and Moran 1998) and proteins (van Ham et al. 2002).

However, an alternative explanation has recently challenged this dominant view; it presents a purely neutral interpretation of Buchnera evolution (Itoh et al. 2002), assuming that the simple increase of mutation rates could explain the general acceleration of evolutionary rates in Buchnera. Itoh et al. criticized the “deleterious interpretation,” arguing that long-term deleterious evolution should have led to the loss of genes, and that the proportion of nonsynonymous substitutions had been overestimated in previous studies.

We do not propose here to definitively settle the argument between these conflicting interpretations. However, we took advantage of the great wealth of information presented by the availability of three complete genome sequences of Buchnera (Shigenobu et al. 2000; Tamas et al. 2002; van Ham et al. 2002) to evaluate the effect of mutation and selection on the symbiont sequences. The original infection in the aphid/Buchnera association occurred 200–250 million years ago and has been followed by strict cospeciation (Moran and Baumann 1994, Clark et al. 2000). The three genomes analyzed here correspond to two moderately distant aphid species (Acyrthosiphon pisum and Schizaphis graminum) belonging to Aphididae and a more distant one (Baizongia pistaciae) belonging to Pemphigidae; they will be referred to as Buchnera-Aps, Buchnera-Sgr, and Buchnera-Bpi respectively. The symbionts of A. pisum and S. graminum show an amazingly high level of “genomic stasis” reflected by the very high proportion of genes shared (about 90%) and perfect synteny indicating the absence of rearrangements following divergence. In contrast, the more divergent Buchnera-Bpi showed also a nearly perfect gene-order conservation but a significantly more pronounced genome reduction than the two other closer strains of Buchnera. For the three genomes, we examined intragenomic variations of codon and amino acid usage. For comparison, we performed the same analysis in a set of orthologs from Escherichia coli, a close free-living relative of Buchnera. This was done to allow a more exact comparison than with complete sets of E. coli genes (comprising many instances of recent gene acquisition by horizontal transfer). Codon bias is high in highly expressed genes of E. coli where it matches abundances in tRNAs (Ikemura 1981). This has been interpreted as the result of translational selection, favoring the more rapid translation of the most needed proteins. Preliminary analyses detected no significant codon bias in Buchnera, studying either a moderate number of genes of a few Buchnera species (Wernegreen and Moran 1999) or one gene in many species (Moya et al. 2002). However, to our knowledge, no complete analysis of codon usage using whole sequences of Buchnera has been published. This is perhaps because these initial results and the apparent genome-wide uniformity in AT richness (about 85% AT at third positions) discouraged further investigation. However, codon bias might have persisted at least in some genes, which could only be revealed by analyzing the full array of data. Also, codon usage might respond to other subtle forces, as for example strand bias (see Ermolaeva 2001 for a short review of factors influencing codon usage). We have analyzed codon usage variations using both multivariate analysis and systematic χ2 tests (details given in the Methods).

Our main objective was to search correlations between the level of expression and codon bias, in order to disentangle mutational and selective pressures on codon usage. For that purpose, we needed a marker of the level of expression. In their recent study, Palacios and Wernegreen (2002) defined a set of putatively high-expression genes including ribosomal proteins, GroEL and GroES, two chaperones which constitute a high fraction of the proteome (Ishikawa 1984) and are thought to play a special role in the symbiont, possibly compensating the effect of multiple slightly deleterious mutations (Moran 1996; Fares et al. 2002a). Another indicator of gene expression is the level of codon bias which can be quantified by the Codon Adaptive Index or CAI (Sharp and Li 1987), using a set of genes of recognized high expression (through experimental data) as a reference. However, calculating the CAI in this way for Buchnera can be misleading, because the extreme AT bias of the whole genome makes it difficult to assign “optimal” codons. We therefore rather used the CAI of E. coli orthologs, assuming that it remained a good indicator of gene expression and selective importance in the symbionts. Rather than comparing defined subsets of genes with putative high- and low-expression genes, we used the CAI as a continuous potential marker of the level of expression, for all genes. This had the advantage of using the full available information, which reduced the risk of relatively arbitrary choice within each class of genes, and increased the statistical power of the comparisons.

The second level of variation explored in this study concerns amino acid usage. Amino acid composition has been shown to be related to the level of expression through an apparent process of energetic optimization (Akashi and Gojobori 2002), because highly expressed genes avoid using energetically costly residues (in particular aromatic amino acids). A recent study investigated amino acid variation in Buchnera, using factorial correspondence analysis (FCA) on the complete sequence of Buchnera-Aps, and contrasting the composition of two groups of genes defined as highly and lowly expressed (Palacios and Wernegreen 2002). Its conclusions supported ongoing selection in Buchnera for energetic optimization at the cell level. We reanalyzed amino acid usage variation in the three complete Buchnera sequences, using multivariate analysis, and relating the patterns of variation with the values of the CAI of E. coli orthologs for every gene and not just the two groups defined above. Relative amino acid usage variation was first studied separately in the three symbionts and E. coli; then, to allow a direct comparison, the four genomes were pooled and the similarity of amino acid profiles was compared within (for different categories of genes) and between the genomes.


Global Base Composition

All three Buchnera showed a marked AT enrichment compared to the set of E. coli orthologs (Table 1), Buchnera-Bpi being only slightly less AT-rich than the two others; this enrichment was much stronger and more uniform at third positions (%AT3) than at the first two positions (%AT12) as revealed by the respective standard errors of these parameters. Also, %AT3 was practically equal to %AT of intergenic sequences, as expected if third positions were dominated by mutational bias.

Table 1.
Percentage of AT at the Different Codon Positions for All CDs, %AT of Intergenic Spacers ≥50 bp in the Three Symbionts and in Their Unambigous Orthologs in E. coli K-12 MG1255, and Average AT and GC Skews at the Third Codon Position, for Leading ...

Strand-specific skews, known to influence codon usage in other bacteria, were also reported in Table 1, for the third codon positions (these skews are generally stronger than at the more constrained first and second positions). As is generally seen in bacteria, the leading strand shows an excess of T (vs. A) and G (vs. C) in Buchnera. However, a considerable variation was observed in the different genomes. In particular, the net GC-skewing attributable to replication direction, defined as half the difference between GC-skews on the leading and lagging strand respectively, was as low as 1.5% in E. coli, but reached 8% in Buchnera-Aps, 9.5% in Buchnera-Sgr, and the exceptional value of 39.6 % in Buchnera-Bpi.

Factorial Correspondence Analysis on Relative Frequencies of Synonymous Codons

We comment only the first two axes, because subsequent axes yielded little information and no significant correlations. With 6.1% only for the first axis in Buchnera-Aps, the level of explanation was very low (Fig.1; Table 2). This confirmed previous studies that showed very low levels of codon usage variability in Buchnera (Wernegreen and Moran 1999; Moya et al. 2002). However, our analysis revealed several new trends: first, the first axis was strongly correlated with AT and GC skews, particularly at the third position. At the right of the first axis, genes were characterized by richness in A (vs. T) and C (vs. G), whereas it was the opposite at the left. Base skews are related to the sense of replication in Buchnera (Shigenobu et al. 2000), as in other bacteria. Using the origin of replication proposed by those authors, and determining the terminus at the inflexion point of base shifts (situated at 325 kb), we identified genes on the leading and lagging strands. This showed that axis 1 discriminates both strands, although there is a rather large overlap between the two clouds of genes in Buchnera-Aps (Fig. 1). In Buchnera-Sgr (7.9%), and more markedly, in Buchnera-Bpi (22.9%), the level of description of the first axis was higher. This reflected the increased strand bias in these species, as shown by the better discrimination between the different orientations along axis 1 of the FCA (Fig. 1). Discriminating analysis allowed us to quantify this separation, showing that the percentage of correct classification among genes on the leading or lagging strand increased from Buchnera-Aps (84.9%) to Buchnera-Sgr (90.1%) to Buchnera-Bpi (97.9%).

Figure 1
Dispersion along the first two axes (z1, z2) of the FCA of codon usage in three whole Buchnera genomes and the E. coli orthologs. (•) Genes on the leading strand; (○) genes on the lagging strand.
Table 2.
Results of Factorial Correspondence Analyses on Relative Codon Usage in Buchnera and in E. coli Orthologs

However, the weight of subsequent axes remained very low in all Buchnera. Interestingly, there was a negative correlation between the first axis and the CAI of E. coli orthologs (rs = -0.09 to -0.11). This seems to be caused by a biased distribution of high- and low-expression genes on leading versus lagging strands. Indeed, the proportion of genes located on leading strands increases with CAI, from about 50% for low-CAI genes (<0.35) to 66% for high-CAI genes (>0.65) in the three Buchnera (Table 3). For ribosomal proteins and GroEL/S, the proportion of genes on the leading strand reaches 78% (44/56). We analyzed the distribution of E. coli orthologs, which showed the same trend; however, the proportions of genes on the leading strand were higher than in Buchnera (by an 8%–14% margin) for every class of CAI (Table 3).

Table 3.
Percentages of Genes in Buchnera and E. coli Orthologs Located on the Leading (vs. Lagging) Strand for Three Classes of Increasing Codon Adaptive Index in E. coli, and in Ribosomal Proteins Plus GroEL/S

A second trend that could be identified was a significant correlation between CAI and the second axis in Buchnera-Aps and Buchnera-Sgr. In Buchnera-Aps and to a lesser extent in Buchnera-Sgr, variation on the second axis appeared to be correlated with GC richness at all codon positions. As this axis is orthogonal to the first one, it translates variations that are independent of gene orientation. This suggests that the level of expression had a slight residual effect on codon usage.

For comparison, the analysis of E. coli orthologs showed a high level of explanation for the first axis (24%), which was strongly correlated with CAI (rs = -0.96, P < 0.0001). The cloud had the typical V shape already identified in earlier FCA of unselected sets of E. coli genes, showing that the different classes of genes identified in these studies (Médigue et al. 1991; Kanaya et al. 1999) are all well represented in the orthologs of symbiont genes. Buchnera has therefore E. coli orthologs even in the class that Médigue et al. interpreted as probable recent lateral gene transfer (LGTs). Given that the separation between genomes occurred over 250 million years ago, this suggests that LGT was overestimated in Médigue et al.'s classification. The first axis was rather strongly correlated with GC3 skew, but the overlap between leading and lagging strands was very high; finally, the second axis was primarily linked with GC3 content (rs = -0.82).

χ2 Tests

Pooling all the tests, we only found 6.2%, 6.6%, and 6.7% of biases significant at the 0.05 level, for Buchnera-Bpi, Buchnera-Aps, and Buchnera-Sgr, respectively. In the set of E. coli orthologs, this proportion was about fourfold, reaching 26.4%. However, we correlated the mean χ2 values (standardized by gene size) with the CAI of E. coli orthologs separately for leading and lagging strands, in each of the three symbionts, and found positive relationships in all cases (Table 4). Yet, the slopes were significant (or borderline significant) only for Buchnera-Bpi and Buchnera-Sgr, and the fit values were very low, contrasting with the high significance and high fit for E. coli.

Table 4.
Regression Lines Between the Level of Codon Bias in Buchnera or E. coli (y) and the CAI of E. coli Orthologs (x)

Factorial Correspondence Analysis of Relative Amino Acid Usage Within Each Buchnera Genome

In all three Buchnera, only three axes described about 45% of the total variability, which is slightly higher than in E. coli orthologs (43%). The first axis (z1) was strongly correlated with CAI-Eco (rs = -0.43 on average) and aromaticity (rs = 0.67 on average) but even more with %AT12 (rs = 0.78 on average). This axis therefore separates low-CAI, aromatic, GC12-poor genes on the right and genes with opposed patterns on the left (Fig. 2). Palacios and Wernegreen (2002) found the same major determinants of amino acid usage in Buchnera-Aps, that is, aromaticity and AT content, but detected only minor effects of strand asymmetry. Focusing on two groups of genes (putatively highly and lowly expressed), they showed that the former tended to avoid aromatic residues and were less AT-rich than the latter. Because two of the aromatic amino acids are AT-rich (Tyr, Phe), the two trends were partly overlapping. However, Palacios and Wernegreen demonstrated that amino acid usage in Buchnera was influenced by both factors, that is, selection against AT-richness and selection against aromaticity. The specific amino acid usage of highly expressed Buchnera genes could therefore be guided by energetic optimization, leading to the avoidance of expensive aromatic amino acids (Akashi and Gojobori 2002). To precisely determine the level of energetic optimization of amino acid usage in Buchnera, relative to E. coli, we also examined the direction of changes in amino acid frequencies between orthologs in Buchnera and E. coli. We calculated the ratio between the frequency of each amino acid in Buchnera and in E coli, using the logarithm of this ratio (to normalize its distribution). To avoid zero values due to the absence of certain residues in small proteins, we added a unity for each residue. For each gene, the so-defined rate of change was therefore

equation M1

where nbuch and neco are the frequencies of a given residue, and nTbuch and nTeco are the total numbers of codons. Values close to zero indicate no frequency change between E. coli and Buchnera, whereas positive values indicate an increase and negative values a decrease in the frequency of a given residue in Buchnera. We show only the results for Buchnera-Sgr (Fig. 3), but they are very close in the two other symbionts: All residues determined by AT-rich codons (among which are two aromatic amino acids, Phe and Tyr, and also Lys) increased, whereas all residues determined by GC-rich codons (including the aromatic Trp) decreased in frequency in the symbiont. Systematically, the intensity of the change was more moderate for high-CAI genes. Paradoxically, the CAI of E. coli orthologs, which marks codon biases in this bacteria, no longer does so in Buchnera; however, it had a very good predictive value of changes at the amino acid level.

Figure 2
As in Figure 1, for Buchnera-Bpi only, but for amino acid usage.
Figure 3
Relative change in amino acid frequency (r) between Buchnera-Sgr genes and their E. coli orthologs, in relation to the CAI in E coli. Solid lines, residues with AT-rich codons (at least 2 A or Ts); dotted lines, residues with GC-rich codons (at least ...

The second axis was strongly linked with hydrophobicity (rs = 0.74 on average), highly hydrophobic proteins being situated on the upper part. This axis was also strongly correlated with AT skews at second positions (Table 5), which resulted in a partial discrimination of leading and lagging strands. This was most obvious in Buchnera-Bpi (Fig. 2), especially for positive values of z1 (for AT12-rich genes). This interaction between hydrophobicity and gene orientation can be understood by a closer look at the distribution of “gravy” scores on a genetic code table (Kyte and Doolittle 1982). NTN and NAN codons have all positive and all negative scores, respectively. Then, for AT-rich genes, where NAN and NTN codons are abundant, genes on the leading strand (T > A) and lagging strand (A < T) tend to have positive and negative scores, respectively. This effect is much weaker in GC-rich genes, which results in a much weaker discrimination along the second axis between leading and lagging strands in the GC-rich region (for negative z1 values). This explains the peculiar triangular distribution of genes, with low z2 variation on the left and high z2 variation on the right (Fig. 2).

Table 5.
Results of Factorial Correspondence Analyses on Amino Acid Usage in Buchnera and in E. coli Orthologs

Global Analysis of Relative Amino Acid Usage in the Four Genomes

The amino acid profiles of all of the sequences from the four genomes were gathered and submitted to factorial correspondence analysis. A similar analysis was performed for codon usage but is not shown here, the differences between the three Buchnera appearing negligible at this scale, whereas those between Buchnera and E. coli were extreme. This was expected to reveal global effects separating the different symbionts, but also individual variations at the gene level. The first two axes of the FCA captured a large part of the variation (30.6% and 11.1%, respectively); the first axis was strongly correlated with GC content at the first two positions (rs = 0.98), GC content at the third position (rs = 0.88) and aromaticity (rs = -0.56), whereas the second axis was strongly correlated with hydrophobicity (rs = 0.85), aromaticity (rs = 0.50), AT3 skew (rs = -0.39), and CAIEco (rs = -0.39). The distribution of the four genomes along the first two axes is shown in Figure 4: It shows large overlap between the Buchnera genomes, whereas overlap between Buchnera and E. coli is marginal. Interestingly, this overlap only occurs for negative z2 values (i.e., for less hydrophobic proteins). In contrast, the discrimination between E. coli and Buchnera genes is extreme for positive z2 value (i.e., for more hydrophobic proteins), with the exception of one outlier Buchnera sequence (atpE) which has both high positive z1 and z2 coordinates in the three Buchnera, and is among the most conserved proteins in the comparison between Buchnera-Aps and Buchnera-Sgr (Tamas et al. 2002).

Figure 4
Dispersion along the first two axes (z1, z2) of the FCA of relative amino acid usage in the pooled Buchnera genomes and their E. coli orthologs. Symbols denote the genome as shown in the legend except for the atpE sequence from E. coli ([filled triangle]); the ...

We examined the individual information for orthologous genes, to evaluate the relative similarity of the amino acid usage profiles at different scales. We calculated the distances (d) between orthologous genes in the two-dimension plan of the first two axes of the FCA. To avoid biases due to differences in gene repertoires, we first compared distances to E. coli only for genes with an ortholog present in each of the three Buchnera. This comparison showed that Buchnera-Bpi have more divergent amino acid profiles from E. coli, whereas Buchnera-Aps is closest to E. coli (dBpi-Eco > dSgr-Eco > dAps-Eco, all comparisons being significant, P < 0.001, two-tailed Student tests for paired observations, Table 6). For comparison, Buchnera orthologs were comparatively much closer, with on average dBpi-Aps = dBpi-Sgr= 0.082 > dAps-Sgr = 0.056 (P < 0.001).

Table 6.
Degree of Similarity Between Amino Acid Usage Profiles of E. coli and Buchnera Genes, as Estimated by the Mean Euclidian Distances (d) Between Buchnera Genes and Their E. coli Ortholog in the 2-D Plan Defined by the First Two Axes of a Factorial Correspondence ...

Within each Buchnera, we also computed the mean distances to E. coli orthologs for genes which do not have an ortholog in one or two of the other complete Buchnera sequences, or whose at least one Buchnera ortholog is a pseudogene. For each of the three symbiotic genomes, the average distance between Buchnera genes and E. coli was much higher for this category of genes, compared to those present and functional in the three genomes. This increase was significant for the three Buchnera (P < 0.001, two-tailed Student tests, Table 6).

Finally, we analyzed Ka and Ks calculations provided by Tamas et al. (2002) for the comparison between Buchnera-Aps and Buchnera-Sgr: We separated genes shared by the three Buchnera genomes (i.e., the two former and Buchera-Bpi) and functional on one side, and genes present and functional in Buchnera-Aps and Buchnera-Sgr but lost or become pseudogene in Buchnera-Bpi on the other side. Both average nonsynonymous rates (Ka = 15.5 and Ka = 19.6, respectively, P < 10-4) and synonymous rates (Ks = 89.0 and Ks = 96.4, respectively, P = 0.04) were significantly higher in the latter category.


Extending the conclusions of previous studies on smaller sets of genes, we confirmed that codon bias is extremely tenuous in Buchnera, a result of massive and almost uniform AT enrichment concentrated at third positions. By multivariate analysis, we could however determine trends affecting codon usage: In each of the three genomes the main determinant was gene orientation (with a respectively weak, moderate, and pronounced effect in Buchnera-Aps, Buchnera-Sgr, and Buchnera-Bpi). This was due to a strand asymmetry (such that G > C and T > A on the leading strand), a phenomenon generally explained by strand-specific mutational biases (Frank and Lobry 1999). The different intensity of strand bias is puzzling, particularly in Buchnera-Bpi, where it reaches an unprecedented level in bacteria, to our knowledge (surpassing the record high bias from Borrelia burgdorferi, McLean et al. 1998). This genome could have known, therefore, an increased asymmetry in substitutions on the different strands (e.g., C to T deaminations could be responsible for the strand-specific skews; Frank and Lobry 1999), due to increased mutation rates or decreased purifying selection. This symbiotic lineage has lost many genes compared to the two others, in particular some genes associated with the replication machinery (e.g., topA, priA, dnaT), which has been held as indicative of decreased efficiency of replication in Buchnera-Bpi (Van Ham et al. 2002). It may be advanced that these losses played a role in an increased differential replication fidelity between leading and lagging strands in this genome, which might have resulted in an increased strand-specific compositional bias (Frank and Lobry 1999).

Strand bias also dominates codon usage in other symbiotic or parasitic bacteria, such as Rickettsia prowazekii (Andersson et al. 1998) and Borrelia burgdorferi (McInerney 1998), in contrast to several free-living bacteria such as E. coli, where the prime cause of variation in synonymous codon usage is the level of expression of genes (Ikemura 1981). Translational selection, because of weak selective coefficients, is only efficient in large populations (Bulmer 1991), and seems therefore to be ineffective in parasitic/symbiotic bacteria due to reduced population sizes. As is common in bacteria, we found a distribution bias of genes (particularly for those with a high CAI) on the leading stand. This is usually interpreted as the result of “replicational selection,” by which presence on the leading strand would permit the avoidance of collision between polymerases when replication and transcription occur at the same time. However, this selective force has been considerably eroded if we compare Buchnera genes and E. coli, because the percentage of genes on the leading strand decreased for all categories of genes classified by CAI (Table 3). Because gene order and orientation are conserved in the three Buchnera studied, this evolution must have occurred before they diverged.

Still, we have identified a weak residual bias in presumably high-expression genes independent from strand asymmetries. This was observed through multivariate analysis (as shown by the correlation between CAI and the second axis) in Buchnera-Aps and Buchnera-Sgr but less so in Buchnera-Bpi, where the residual bias was weaker, and by χ2 values which very slightly increased with the CAI. The two methods were therefore concordant, although sometimes quantitatively different (e.g., a comparatively low effect of CAI on χ2 values was observed for Buchnera-Aps, whereas multivariate analysis did detect a relatively strong effect of CAI), which is due to the fact that χ2 tests were restricted to A- and T-ending codons (whereas GC-richness at the third position influenced codon usage in Buchnera-Aps).

It seems unlikely that the subsisting codon bias would result from ongoing translational selection. Actually, the tRNA battery is so depauperate in Buchnera that it simply corresponds to the minimal set allowing complete coverage of codons following rules of isoacceptance, and all tRNA genes are single-copy. Often, the present tRNA does not match the most used codons, although some of the lost tRNAs were those matching optimal codons in E. coli (for Gln, Leu, Ser). Thus, the residual bias in putative high-expression genes rather results from the greater conservation of these genes: Actually, using nonsynonymous and synonymous distances previously calculated for Buchnera (Tamas et al. 2002), we found that high-CAI genes have both lower Ka (ρKA-CAI = -0.37) and slightly lower Ks (ρKS-CAI = -0.12) than average. This supports the existence of a globally greater evolutionary constraint on the most essential genes, at both synonymous and nonsynonymous sites (King Jordan et al. 2002). Those authors offered two explanations for this pattern, a possible mechanistic bias in mutation, or the fact that synonymous sites are also subject to some degree of selection (King Jordan et al. 2002). The latter scenario could mean either selection on codon usage (a rather unlikely situation, as we argued above), or that synonymous substitutions might be not always silent (Graur and Li 2000). Interestingly, a similar interaction between the level of expression, the level of codon bias, and gene conservation (both synonymous and nonsynonymous) was demonstrated in Mycobacterium sp. (de Miranda et al. 2000), supporting the existence of common functional constraints between synonymous and nonsynonymous sites.

Amino acid usage showed a much greater range of variation than codon usage, suggesting a much stronger selective pressure on nonsynonymous positions. As first found for Buchnera-Aps only (Palacios and Wernegreen 2002), we found that amino acid usage was primarily driven by the percentage of A and T at the first two positions and aromaticity, and secondarily by hydrophobicity of proteins, in the three genomes. Palacios and Wernegreen explained the reduced usage of aromatic residues in high-expression genes by energetic optimization and avoidance of costly residues. Our results therefore allow a generalization of the results of Palacios and Wernegreen (2002) to the three Buchnera genomes and give further support to their argument that amino acid usage in this symbiont is shaped by both selection against AT-richness and selection against aromaticity. However, a closer look at the parallel evolution of amino acid usage between Buchnera genes and their E. coli orthologs allowed us to refine this conclusion, and hierarchize these selective forces. This was done through the comparison of the levels of energetic optimization in the symbiont and its free-living relative. This analysis revealed that several trends that discriminated high-expression and low-expression genes in E. coli were substantially altered in Buchnera; although the E. coli sequences are not ancestral, it can be assumed that most of the directional changes in frequency occurred in Buchnera. For example, in Buchnera, putative low-expression genes sharply increased their usage of Lys, whereas usage of Lys remained stable between E. coli and Buchnera putative high-expression genes. Interestingly, Lys was among the residues used preferentially in high-expression genes of E. coli, which suggests that the trends shaping amino acid preferences in the free-living relative have been altered in the symbiont. In contrast, putative low-expression Buchnera genes significantly decreased their usage of Trp, which remained stable (or even slightly increased) in putative high-expression Buchnera genes. Because Trp is avoided by high-expression E. coli genes, this trend has been again altered in the symbiont, although it still subsists and still allows discrimination of putative high- and low-expression genes in Buchnera (Palacios and Wernegreen 2002).

Both changes (relative decrease of Trp and increase of Lys in putative low expression genes) can be explained by weaker purifying selection against AT enrichment in these genes. But this supports the idea that selection against AT-richness is the dominating factor shaping amino acid usage in the symbiont, whereas selection against aromaticity only comes next. Energetic optimization appears therefore as yet another selective force that has been eroded in this symbiont, and the discrimination between low- and high-expression genes appears firstly as the result of greater conservation and resistance to AT enrichment in the former, the two effects being tightly linked (ρKa - %AT12 = 0.77).

Drift has obviously played a major role in these symbionts and eroded all selective forces shaping the genome in free-living bacteria, that is, translational selection, replicational selection, and energetic optimization of amino acid usage. It is not obvious however to qualify these evolutionary patterns as strictly deleterious, because we lack a point of comparison with symbionts that would not have suffered these changes. Also, relaxed selection in a less competitive environment may have explained a part of the genomic changes observed; for example, the speed of replication is considerably lower in Buchnera, probably because it is under the control of the host, which adjusts the development of its bacterial population to its own growth (Baumann and Baumann 1994). This may further explain why replicational selection has become less effective in the symbiont. Buchnera is also characterized by the loss of many regulatory proteins and functions (Shigenobu et al. 2000), suggesting that the range in level of expression is considerably altered compared to E. coli. This could result in a relaxed translational selection and the loss of codon bias. It is therefore risky to predict that aphid/symbiont pairs would be doomed because of gradual decay of the symbiotic genome.

Indeed, bacterial organelles of eukaryotes continue to be functional despite long-term asexuality, transgenerational bottlenecks, and reduced population sizes. In a severely reduced genome, the selective coefficient of individual amino acid changes might increase, reinforcing the power of purifying selection. Therefore, we might expect a slow-down of evolution in at least the most essential genes which keep the symbiosis functional, as suggested by the reduced AT enrichment and the reduced evolutionary rates in the group of high-CAI genes. Finally, other compensatory processes might be employed by these bacteria (Moran 1996), with a possible special role for GroEL which may allow the bacterial genome to cope with an increased number of mutations. This biological model would therefore be an example of the theoretical system discussed by Hartl and Taubes (1996), where many (therefore not so) deleterious mutations might be compensated by positive selection—which here would be concentrated on essentially one gene, as supported by recent molecular analyses (Fares et al. 2002b)—resulting in approximate stasis of the whole.

Although the three Buchnera compared in this study have shown rather similar patterns, it is interesting to note that the differences observed can bring interesting insights regarding the tempo and mode of genome evolution following symbiosis. Indeed, the more complete loss of codon bias and the much stronger strand asymmetry (influencing even amino acid usage) in Buchnera-Bpi, along with its more reduced genome, seem to indicate that this bacterium has gone further than the other two lineages in the genomic revolution accompanying the transition to symbiosis. This is further supported by the increased differences of amino acid profiles between Buchnera-Bpi genes and their E. coli orthologs compared to the two other Buchnera, as revealed by the distances calculated in the FCA gathering the four genomes. In agreement with this result, a phylogeny based on 61 concatenated conserved proteins, including the three Buchnera studied here and several other symbiotic or free-living bacteria, revealed a significantly longer branch length for Buchnera-Bpi (Gil et al. 2003) than for the two other Buchnera species considered. Finally, several genes showed increased proportions of nonsynonymous substitutions in Buchnera from aphids of the family Pemphigidae versus Aphididae (Clark et al. 1999).

Another interesting result from the latter analysis was that genes lost in one Buchnera lineage have considerably more differentiated amino acid profiles from E. coli in the Buchnera genomes where they are maintained, compared to the core group of genes shared and functional in the three symbiotic genomes. Also, the comparison between Buchnera-Aps and Buchnera-Sgr revealed increased Ka and Ks values for the genes present in these species but lost in Buchnera-Bpi. Together these findings suggest that genes lost in any Buchnera genome (but present in another one) correspond to more labile, less essential functions, and that they are subject to less intense purifying selection in the genomes where they are maintained. We can therefore predict that genes lost in any Buchnera have ultimately a strong chance to meet the same fate in the other symbiotic lineages, once many slightly deleterious mutations have accumulated in their sequence. In contrast, the core group of shared functional genes is more constrained (as revealed by their stronger proximity to the E. coli profile) and might allow the definition of a minimal set of genes essential to the viability of the symbiosis. It is possible that the stronger syndrome observed in Buchnera-Bpi could be related to relatively smaller population sizes of aphids of the family Pemphigidae (to which the host of Buchnera-Bpi belongs). It will likely be instructive when more sequences of Buchnera become available to relate the changes among genomes with differences in the ecology of their aphid hosts, and also with the genomic repertoires of symbionts, in order to better weigh the different forces, mutational or selective, intrinsic or extrinsic, that shaped their genomes.


Buchnera sp. and E. coli Sequences

Complete genomes of Buchnera-Aps and Buchnera-Sgr were extracted from GenBank, and the genome annotation of Buchnera-Bpi (van Ham et al. 2002) was provided by the research group directed by A. Moya (Univ. Valencia, Spain). We compared the gene content of the three Buchnera sp. by reciprocal top scores of gapped BLAST in order to perform an alignment of the three genomes. Excluding plasmid and RNAs genes, we reconstructed an ancestor of Buchnera sp. with 609 nonredundant coding genes and compared it to the free-living relative E. coli-K12 gene repertoire. We finally identified 597 unquestionable orthologous genes in E. coli by using a similarity criterion measured by BLAST with a cutoff expect value of 10-5.

Factorial Correspondence Analysis on Relative Frequencies of Synonymous Codons

We performed a factorial correspondence analysis (FCA) of codon usage for the three complete sequences (discarding plasmid sequences, which might respond to specific selective/mutational pressures). We followed methods described elsewhere (Chiapello et al. 1998, Kanaya et al. 1999), computing relative frequencies of informative codons (that sum up to 1 for each amino acid), to make the analysis independent from gene size and amino acid composition. The three stop codons and codons unique to an amino acid (Trp and Met) were not counted. For each amino acid in a given gene, codon frequencies were calculated; in order to reduce random noise, they were replaced by mean frequencies if the number of residues was less than five. The analysis was performed using the CORRESP procedure of the SAS software (SAS Institute Inc. 1988). Correlations between the coordinates on the first axes of the FCA and relevant genomic parameters were analyzed using nonparametric tests (Spearman's correlation coefficient, rs), a choice motivated by the nonnormality of the data, in particular for Buchnera-Bpi. The significance of the correlations at the .05 level was assessed, using Bonferroni's correction (Sokal and Rohlf 2003) in order to reduce the probability of a type I error in multiple tests (we assumed independence of the correlation tests between genomes and between axes within a genome). Finally, the discrimination among genes oriented on the leading and lagging strands, respectively, was quantified using the DISCRIM procedure of the SAS software, for each of three Buchnera complete sequences (SAS Institute Inc. 1988).

Estimation of Codon Bias by Systematic χ2 Tests

We also tested nonrandom use of codons at eight fourfold degenerate sites (plus the threefold Ile) by χ2 tests, a method usually more sensitive to distinguish biases from random usage than multivariate analysis (Ermolaeva 2001). A second motivation was to provide a comparison with a previous analysis (Wernegreen and Moran 1999) that was made on a more limited sample of genes. For Buchnera, G- and C-ending codons were excluded because of the small sample size of these codons, due to the low GC content at third positions. In their analysis, Wernegreen and Moran used an expected frequency determined by the “local base composition,” a method which might be less sensitive because it integrates potential gene-specific biases in the reference value. Because the factorial correspondence analysis had shown that gene orientation was the major local determinant of codon usage, we distinguished the genes by their presence on the leading or lagging strand. For each orientation, we determined the expectation based on a pooled set of genes expected to be the most dominated by mutational bias (choosing 35 genes with the lowest CAI in E. coli), assuming that adaptive codon bias should increase steadily with CAI; χ2 values were averaged across all amino acids, and divided by gene size to allow a normalized comparison of the level of bias.

Factorial Correspondence Analysis on Relative Frequencies of Amino Acids

We similarly performed an FCA of amino acid usage. The variables were the frequencies of the 20 amino acids (summing up to 1 for each gene). This analysis was done using the CODONW software (written by John Peden, Univ. of Nottingham, U.K.), for each of three Buchnera complete sequences. This software calculates hydrophobicity and aromaticity levels for each gene, which were correlated with positions on the main discriminating axis.

Finally, in an attempt to directly compare amino acid profiles between the three symbionts and their free-living relative, a correspondence analysis was conducted pooling the data of the four genomes. Orthologs were “aligned” in order to identify which genes might have changed most (or least) compared to E. coli, a comparison made between and within Buchnera genomes.


We thank Carmen Palacios and Jenn Wernegreen, and an anonymous reviewer, for very helpful comments and suggestions which helped us improve the manuscript.

The publication costs of this article were defrayed in part by payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 USC section 1734 solely to indicate this fact.


Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1358104. Article published online before print in December 2003.


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