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Natural Selection on Synonymous Sites Is Correlated With Gene Length and Recombination in Drosophila
Josep M. Comerona, Martin Kreitmana, and Montserrat Aguadéba Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637
b Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, 08071 Barcelona, Spain
Corresponding author: Josep M. Comeron, Department of Ecology and Evolution, University of Chicago, 1101 E. 57th St., Chicago, IL 60637., jcomeron{at}midway.uchicago.edu (E-mail)
Communicating editor: A. G. CLARK
| ABSTRACT |
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Evolutionary analysis of codon bias in Drosophila indicates that synonymous mutations are not neutral, but rather are subject to weak selection at the translation level. Here we show that the effectiveness of natural selection on synonymous sites is strongly correlated with the rate of recombination, in accord with the nearly neutral hypothesis. This correlation, however, is apparent only in genes encoding short proteins. Long coding regions have both a lower codon bias and higher synonymous substitution rates, suggesting that they are affected less efficiently by selection. Therefore, both the length of the coding region and the recombination rate modulate codon bias. In addition, the data indicate that selection coefficients for synonymous mutations must vary by a minimum of one or two orders of magnitude. Two hypotheses are proposed to explain the relationship among the coding region length, the codon bias, and the synonymous divergence and polymorphism levels across the range of recombination rates in Drosophila. The first hypothesis is that selection coefficients on synonymous mutations are inversely related to the total length of the coding region. The second hypothesis proposes that interference among synonymous mutations reduces the efficacy of selection on these mutations. We investigated this second hypothesis by carrying out forward simulations of weakly selected mutations in model populations. These simulations show that even with realistic recombination rates, this interference, which we call the "small-scale" Hill-Robertson effect, can have a moderately strong influence on codon bias.
GENES of flies, yeast, and bacteria show a great diversity of codon usage bias, and weak natural selection on synonymous mutations is generally believed to be the cause of this nonrandom usage (![]()
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Population genetics models of selection predict a positive relationship between the effectiveness of natural selection acting on a mutation and the recombination rate in the vicinity of the mutation. The Hill-Robertson effect (![]()
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The effectiveness of natural selection on slightly deleterious or advantageous mutations (![]()
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Recently, the length of coding regions in Drosophila genes has been shown to be positively correlated with the rate of synonymous substitution (![]()
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| MATERIALS AND METHODS |
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Sequences analyzed:
Interactions among the length of the coding region, recombination rates, and synonymous codon usage bias were analyzed using 537 complete coding region sequences of D. melanogaster obtained from GenBank. Only those complete sequences located in specific polytene-chromosome map positions in ![]()
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Codon usage analysis:
Codon usage bias was estimated as the "effective number of codons" (ENC) (![]()
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Recombination rate:
Recombination rates were estimated after obtaining the polynomial curves (![]()
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Divergence estimates:
The number of synonymous substitutions per site (Ks) was estimated as described in ![]()
Mutational matrix:
A mutational matrix between nucleotides based on the observed polymorphisms at the noncoding region of the Xdh locus of D. subobscura was used (![]()
| RESULTS |
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We analyzed the relationship between the length of the coding region and the rate of synonymous evolution using 35 genes in which the comparison of the homologous sequences of D. melanogaster and at least one obscura species (D. subobscura and D. pseudoobscura) is possible (![]()
= 0.287, P = 0.017; ![]()
= 0.434, P < 0.0001). Short genes exhibit a wide range of codon usage bias while long genes tend to be only slightly biased. Congruently, the length of the coding region is also correlated with base composition at the third position of fourfold degenerate codons, negatively with C4 (
= 0.265, P < 0.0001) and positively with A4 (
= 0.220, P < 0.0001) and T4 (
= 0.105, P < 0.001); G4 shows a small negative correlation (
= 0.060, P = 0.039). Equivalent results are obtained when the third position of all codons is used in the analyses (data not shown). The relationship between the length of the coding region and the synonymous base composition corroborates that there is no methodological bias associated with the estimation of ENC due to the number of codons under analysis.
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We also analyzed the relationship between the estimated recombination rate and both the codon bias and the length of the coding region. A weak positive correlation between recombination rate and codon usage bias can be detected (
= 0.057, P = 0.0465) when all 537 genes are analyzed, while there is no relationship between length and recombination rates (
= 0.01, P > 0.70). Figure 2 shows the relationship among codon bias, recombination rate, and the length of the coding region for genes on the two large autosomes (chromosomes II and III); equivalent results are obtained for the X chromosome but for short genes (see DISCUSSION). The relationship between the recombination rate and codon bias changes with the length of the coding region. For genes shorter than 750 bp there is a positive significant correlation between recombination rates and codon bias levels (
= 0.168, P = 0.0163), and this positive relationship is nearly linear across the entire range of recombination rates. The positive relationship between recombination rates and the codon bias levels becomes weaker for longer coding regions (for genes longer than 4500 bp,
= 0.169, P = 0.0880). For short genes, the correlation between recombination rates and codon bias levels remains significant (
= 0.161, P = 0.0420) even when genes located in regions of very low recombination ratessmaller than 10-10/bp/generation (compared to an average recombination rate in D. melanogaster of 2 x 10-8/bp/generation)are excluded from the analysis. Also, a Kruskal-Wallis test (![]()
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The length of a coding region is negatively correlated with codon bias across the entire range of recombination rates (P < 0.0001, for all cases). This negative correlation is also detected in those regions classified as nonrecombining (recombination rates smaller than 10-10/bp/generation) and exhibiting, on average, lower codon bias levels (
= 0.532, P < 0.0001). Even those genes located on the fourth chromosome (11 genes), a small autosomal chromosome that does not normally recombine (![]()
= 0.600, P = 0.0102). These correlations can be used to gauge the range of selection coefficients acting on synonymous mutations within a gene (see DISCUSSION).
A length-dependent selection coefficient (LdSC) model:
Translational efficiency has been invoked as a general cause of codon bias in Drosophila. Taking the total time for a single ribosome to translate an mRNA as a proxy for translational efficiency (i.e., fitness), consider the effect on translation time of a single synonymous mutation from an unpreferred to a preferred codon (preferred mutation). If the speed of translation of that amino acid increases by a fixed amount, then it is easy to show that its relative effect on the overall time of protein translation will be inversely related to the total number of codons of the coding region. The longer the coding region, the smaller the advantageous effect of a preferred mutation on the total translational time and, hence, on that protein's contribution to fitness.
We have investigated this simple model where the selection coefficient (s) on each synonymous mutation in a gene is inversely related to the number of codons (len) of a coding region. Let s =
, where lenmin is the number of codons of the shortest coding region affected by different lengths (in our analyses lenmin = 150 codons; equivalent patterns are obtained using different lenmin), and smax the maximum value of s. The predicted codon bias (ENC) values can be obtained from the frequency of preferred codons (P; ![]()

where for diploid organisms S = 4Nes, U = 4Neu, and V = 4Nev, s is the selective advantage of the preferred codons, and u and v are the mutation rates from preferred to unpreferred and from unpreferred to preferred codons, respectively. It is assumed that u + v
s. All unpreferred codons are assumed to have the same fitness and their relative frequencies assumed to be those given by mutational equilibrium (see MATERIALS AND METHODS). Pi, and ENCi, were estimated separately for each i-fold (i = 2, 3, and 4) synonymous group. Finally, ENC = (12 ENC2) + ENC3 + (8 ENC4).
Figure 3 shows the expected relationship between codon bias and coding region length predicted by the LdSC model. This model can explain much of the observed pattern of codon bias (see Figure 1) if one also assumes that genes have different maximum selection coefficients (smax), related to the specific contribution each protein makes to fitness.
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Interference among synonymous mutations:
Under the LdSC model, both the rate of synonymous divergence, Ks, and the level of synonymous polymorphism are negatively related to the level of codon bias. There is, in fact, a well-known negative correlation between Ks and codon bias among Drosophila species (![]()
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= 0.313, P = 0.047). Genes with low codon bias tend to have high rates of synonymous evolution but low levels of synonymous polymorphism. This disparity cannot be explained with a model assuming independent selection on synonymous mutations when two or more mutations are simultaneously segregating in a population, but it is directly predicted from a finding of ![]()
To further assess the magnitude of the interference effect on codon bias, we investigated a Hill-Robertson-based model (see Introduction). The rationale was that genes with different lengths will have different numbers of synonymous mutations simultaneously segregating that can interfere with each other's fixation. We term this "finite population, mutation-selection, multisite, linkage model" as the small-scale Hill-Robertson (ssHR) model. If interference is stronger in longer genes than in shorter genes and of sufficient magnitude, then this model (![]()
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To study whether an ssHR model can shape the relationship between the synonymous codon usage and the coding region length, as observed in Drosophila, we carried out computer simulations to establish the codon bias at equilibrium for different coding lengths using plausible parameters of mutation, recombination, and selection on synonymous sites in D. melanogaster. Computer simulations conforming to the multisite model detailed in ![]()
) for coding regions of 1500 codons shows a reduction of 25, 20, and 26%, respectively, compared to genes of 100 codons. For plausible recombination rates, this interference among sites will be restricted within a given gene. Nevertheless, in the extreme case of regions with very low recombination rates, or genes very close to each other, synonymous sites among linked genes will begin to interfere with each other; in those regions, the length and number of genes in the region as well as the magnitude of linkage will contribute to the bias in each gene.
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Comparison among low-recombining regions of D. melanogaster:
Genes located on the fourth chromosome in D. melanogaster, as in any other nonrecombining region, are expected to exhibit a smaller effect of natural selection on synonymous sites (![]()
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2 = 0.22, P = 0.64, using data from ![]()
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| DISCUSSION |
|---|
Effect of the length of the coding region and recombination rates on codon bias and synonymous substitutions rates:
We have confirmed the positive relationship between the length of the coding region and the rate of synonymous substitutions per site (Ks) in Drosophila. We have also shown that there is a negative correlation between the length of the coding region and the codon usage bias in D. melanogaster. Together, both results indicate that the strength of selection on synonymous mutations, or the effectiveness of selection, is on average smaller in long genes than in short ones. The length of the coding region is also correlated with the base composition at synonymous sites in the sense that very long genes show a base composition closer to that expected under the mutational equilibrium (see Table 1), which can be inferred from the nucleotide composition of long introns under the assumption of neutrality (![]()
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The observed nonrandom usage of the different synonymous codons in most organisms indicates that synonymous mutations are not strictly neutral, but rather subject to weak selection. The nearly neutral theory of molecular evolution proposes that the magnitude of most selective coefficients on synonymous mutations should be of the order of the reciprocal of the effective population size (Ne). In Drosophila synonymous mutations are often assumed to behave nearly neutrally even when the data do not fully support that argument. Recombination rates positively correlate with the level of polymorphism in D. melanogaster (![]()
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Here we have shown that recombination rates correlate with the effectiveness of selection on synonymous mutations, and hence also with codon bias, even when genes located in regions with very low recombination are excluded from the analyses. This correlation, however, is also dependent on the length of the coding region, as indicated by the systematic shift in codon bias levels with recombination rates in short genes but not, or to a lesser degree, in long genes (Figure 2). The recombination environment of a gene does, therefore, affect the evolutionary behavior of synonymous mutations, as predicted by the weak selection theory.
Shuffling of gene order within chromosome arms, a common feature of Drosophila evolution (![]()
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Why is codon bias systematically lower in larger genes? Selection on synonymous sites has been proposed to act, at least, at three different levels: the translational accuracy and translational efficiency levels and the mRNA level. Selection acting at the level of translational accuracy has been detected in Drosophila with two independent approaches: (1) regions encoding important protein motifs present a significantly higher codon bias (![]()
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= 0.048, P > 0.65) for the 35 analyzed genes (![]()
Elongation rates affect the overall speed of translation because the most abundant tRNA translates its corresponding codon faster (![]()
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An alternative scenario based on translational efficiency also predicts that the level of gene expression will be inversely related to the length of the coding region. This is also an LdSC model because the selection coefficients for individual mutations will be negatively correlated with gene length. This possibility, however, seems unlikely in Drosophila because it would require the assumption that highly expressed genes have eliminated nonessential amino acids by shortening their coding length in order to improve translational efficiency. In that case, short genes should have lower rates of nonsynonymous substitution (Ka), which is not the case (see above).
Selection pressure at the mRNA level to maintain the stability of mRNA secondary structure has been proposed to have secondary or modulating effects on synonymous base composition (![]()
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The observed relationship between the length of the coding region and the codon bias in nonrecombining regions provides support for an LdSC model. In these regions, the area affected by selective sweeps (hitchhiking) or by the constant removal of a fraction of chromosomes with deleterious mutations (background selection) will be expected to contain genes of different lengths. If this is the case, codon bias levels will vary with gene length only if in these genes the selection coefficients on individual mutation also vary with length.
Magnitude of selection coefficients on synonymous sites in Drosophila:
The effect of selection is detectable only when the product of Ne and the selection coefficient (s) is equivalent or larger than unity (|Nes|
1) (![]()
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1. Also, neither the very long coding sequences nor the genes located in regions with very low recombination actually attain the same base composition as introns or a random usage of synonymous codons (Table 1). Only the combination of both causes of reduction of Nes, smaller selection coefficients per mutation (s) in long genes and smaller Nes in regions of low recombination, gives rise to a synonymous base composition close to that expected under mutational equilibrium. The distribution of the selection coefficients on synonymous mutations appears to be, therefore, extremely wide in Drosophila, encompassing one or two orders of magnitude, since their effect is detected across the entire range of recombination rates. Models of weak selection pertaining to the evolution and maintenance of codon bias need to be revised to reflect variable selection coefficients.
There is some controversy about whether codon bias selection acts more strongly through its action on advantageous (preferred) or deleterious (unpreferred) mutations. A difference in the efficacy of selection on the two types of mutations can occur if they are not semidominant. Comparison of X-linked and autosomal genes can shed some light on this discussion. In Drosophila, genes on the X chromosome are hemizygous in males; selection is expected to eliminate deleterious mutations on this chromosome more efficiently than on autosomes if mutations are partially or fully recessive. Then, for equivalent recombination rates, the proportion of alleles free of deleterious mutations (f0) is expected to be larger for the X chromosome than for the autosomes (![]()
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= 0.185, P = 0.0163) is not detected for X-linked genes (
= 0.198, P = 0.25, and in the opposite direction). Very long genes (longer than 4.5 kb), however, show equivalent codon bias in X-linked and autosomal genes. Both observations are consistent with the fact that short genes, which tend to have a higher codon bias, and therefore a higher frequency of preferred codons, will have a high proportion of unpreferred mutations. If these unpreferred mutations are partially recessive, they will be more effectively selected against if they are in X-linked genes, and we conjecture that this can lead to a greater independence of selection in relation to the X chromosome recombinational environment. This effect will be less pronounced in long genes, which will have roughly equivalent frequencies of deleterious and advantageous mutations.
In Escherichia coli, codon bias is positively correlated with gene length for equivalently expressed genes (ribosomal proteins); longer genes tend to have higher codon bias than the shorter ones (![]()
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In conclusion, the evidences presented here confirm the importance of natural selection in shaping patterns of codon bias in Drosophila. The action of natural selection can be understood only as a complex interaction of several factors, including the length of the coding region, recombination rates, and variable selection strengths. While an LdSC model is sufficient to explain features of the relationship between codon bias and coding region length, even in regions with no detectable recombination, only an ssHR model can explain why genes with low codon bias show low levels of synonymous polymorphism (see Table 2). Both models predict that genes with low codon bias will be longer on average and will have higher levels of synonymous divergence than genes with high codon bias. The positive relationship between polymorphism and codon bias, however, is tentative and must be confirmed with a larger number of randomly chosen genes, taking into account both the recombination rate and the length of the coding regions. Testing this specific prediction of the ssHR model is important because standard models of molecular variation and evolution, and the statistical tests that derive from these models, assume that selection acts independently across mutations. Our analysis suggests that this may not be the case for synonymous mutations.
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| ACKNOWLEDGMENTS |
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We thank P. Andolfatto, M. Antezana, C. Bergman, J. Braverman, B. Charlesworth, R. R. Hudson, A. Llopart, E. Stahl, W. Stephan, C. Toomajian, and M. Przeworski for helpful comments on the manuscript and A. Llopart for many useful discussions. We also thank B. Chen for his help compiling the data set of complete genes in D. melanogaster. J.M.C. is supported by a Postdoctoral Fellowship from Ministerio de Educación y Ciencia, Spain. This work was supported by a National Institutes of Health grant GM-39355 to M.K.
Manuscript received July 6, 1998; Accepted for publication September 30, 1998.
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