Compositional heterogeneity and patterns of molecular evolution in the Drosophila genome

Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences

A major analytical challenge in computational biology is the detection and description of clusters of specified site types, such as polymorphic or substituted sites within DNA or protein sequences. Progress has been stymied by a lack of suitable methods to detect clusters and to estimate the extent of clustering in discrete linear sequences, particularly when there is no a priori specification of cluster size or cluster count. Here we derive and demonstrate a maximum likelihood method of hierarchical clustering. Our method incorporates a tripartite divide-and-conquer strategy that models sequence heterogeneity, delineates clusters, and yields a profile of the level of clustering associated with each site. The clustering model may be evaluated via model selection using the Akaike Information Criterion, the corrected Akaike Information Criterion, and the Bayesian Information Criterion. Furthermore, model averaging using weighted model likelihoods may be applied to incorporate model uncertainty into the profile of heterogeneity across sites. We evaluated our method by examining its performance on a number of simulated datasets as well as on empirical polymorphism data from diverse natural alleles of the Drosophila alcohol dehydrogenase gene. Our method yielded greater power for the detection of clustered sites across a breadth of parameter ranges, and achieved better accuracy and precision of estimation of clusters, than did the existing empirical cumulative distribution function statistics.

Evolution of gene sequence in response to chromosomal location

Evolutionary forces acting on the repetitive DNA of heterochromatin are not constrained by the same considerations that apply to protein-coding genes. Consequently, such sequences are subject to rapid evolutionary change. By examining the Troponin C gene family of Drosophila melanogaster, which has euchromatic and heterochromatic members, we find that protein-coding genes also evolve in response to their chromosomal location. The heterochromatic members of the family show a reduced CG content and increased variation in DNA sequence. We show that the CG reduction applies broadly to the protein-coding sequences of genes located at the heterochromatin:euchromatin interface, with a very strong correlation between CG content and the distance from centric heterochromatin. We also observe a similar trend in the transition from telomeric heterochromatin to euchromatin. We propose that the methylation of DNA is one of the forces driving this sequence evolution.

Transition-transversion bias is not universal: a counter example from grasshopper pseudogenes

Comparisons of the DNA sequences of metazoa show an excess of transitional over transversional substitutions. Part of this bias is due to the relatively high rate of mutation of methylated cytosines to thymine. Postmutation processes also introduce a bias, particularly selection for codon-usage bias in coding regions. It is generally assumed, however, that there is a universal bias in favour of transitions over transversions, possibly as a result of the underlying chemistry of mutation. Surprisingly, this underlying trend has been evaluated only in two types of metazoan, namely Drosophila and the Mammalia. Here, we investigate a third group, and find no such bias. We characterize the point substitution spectrum in Podisma pedestris, a grasshopper species with a very large genome. The accumulation of mutations was surveyed in two pseudogene families, nuclear mitochondrial and ribosomal DNA sequences. The cytosine-guanine (CpG) dinucleotides exhibit the high transition frequencies expected of methylated sites. The transition rate at other cytosine residues is significantly lower. After accounting for this methylation effect, there is no significant difference between transition and transversion rates. These results contrast with reports from other taxa and lead us to reject the hypothesis of a universal transition/transversion bias. Instead we suggest fundamental interspecific differences in point substitution processes.

Some mutations occur more frequently than others. We need to understand these biases if we are to interpret the differences that have accumulated between species and individuals. Applications include estimating the time since evolutionary lineages diverged and detecting the signature of natural selection in DNA sequences. However, mutational biases have been obscured because, since mutations arose, natural selection has eliminated some whilst allowing others to persist to the present. We therefore study mutations that have accumulated in regions of the genome that are free from selection in a grasshopper with a gigantic genome. All other animal studies using this approach find an excess of mutations between DNA bases having similar biochemical properties (transitions rather than transversions). This bias has been widely interpreted as a consequence of the fundamental biochemical basis of mutation. However, once we exclude mutations associated with DNA methylation, we find no evidence of a transition bias, unlike the few comparable animal studies that make the same correction. We propose that this result indicates previously unanticipated differences between species in the selection on or mutation of their DNA.

Elevated evolutionary rates in the laboratory strain of Saccharomyces cerevisiae

By using the maximum likelihood method, we made a genome-wide comparison of the evolutionary rates in the lineages leading to the laboratory strain (S288c) and a wild strain (YJM789) of Saccharomyces cerevisiae and found that genes in the laboratory strain tend to evolve faster than in the wild strain. The pattern of elevated evolution suggests that relaxation of selection intensity is the dominant underlying reason, which is consistent with recurrent bottlenecks in the S. cerevisiae laboratory strain population. Supporting this conclusion are the following observations: (i) the increases in nonsynonymous evolutionary rate occur for genes in all functional categories; (ii) most of the synonymous evolutionary rate increases in S288c occur in genes with strong codon usage bias; (iii) genes under stronger negative selection have a larger increase in nonsynonymous evolutionary rate; and (iv) more genes with adaptive evolution were detected in the laboratory strain, but they do not account for the majority of the increased evolution. The present discoveries suggest that experimental and possible industrial manipulations of the laboratory strain of yeast could have had a strong effect on the genetic makeup of this model organism. Furthermore, they imply an evolution of laboratory model organisms away from their wild counterparts, questioning the relevancy of the models especially when extensive laboratory cultivation has occurred. In addition, these results shed light on the evolution of livestock and crop species that have been under human domestication for years.

Selection at the amino acid level can influence synonymous codon usage: implications for the study of codon adaptation in plastid genes

A previously employed method that uses the composition of noncoding DNA as the basis of a test for selection between synonymous codons in plastid genes is reevaluated. The test requires the assumption that in the absence of selective differences between synonymous codons the composition of silent sites in coding sequences will match the composition of noncoding sites. It is demonstrated here that this assumption is not necessarily true and, more generally, that using compositional properties to draw inferences about selection on silent changes in coding sequences is much more problematic than commonly assumed. This is so because selection on nonsynonymous changes can influence the composition of synonymous sites (i.e., codon usage) in a complex manner, meaning that the composition biases of different silent sites, including neutral noncoding DNA, are not comparable. These findings also draw into question the commonly utilized method of investigating how selection to increase translation accuracy influences codon usage. The work then focuses on implications for studies that assess codon adaptation, which is selection on codon usage to enhance translation rate, in plastid genes. A new test that does not require the use of noncoding DNA is proposed and applied. The results of this test suggest that far fewer plastid genes display codon adaptation than previously thought.

Translational selection on codon usage in Xenopus laevis

A correspondence analysis of codon usage in Xenopus laevis revealed that the first axis is strongly correlated with the base composition at third codon positions. The second axis discriminates between putatively highly expressed genes and the other coding sequences, with expression levels being confirmed by the analysis of Expressed sequence tag frequencies. The comparison of codon usage of the sequences displaying the extreme values on the second axis indicates that several codons are statistically more frequent among the highly expressed (mainly housekeeping) genes. Translational selection appears, therefore, to influence synonymous codon usage in Xenopus.

Local changes in GC/AT substitution biases and in crossover frequencies on Drosophila chromosomes

I present here evidence of remarkable local changes in GC/AT substitution biases and in crossover frequencies on Drosophila chromosomes. The substitution pattern at 10 loci in the telomeric region of the X chromosome was studied for four species of the Drosophila melanogaster species subgroup. Drosophila orena and Drosophila erecta are clearly the most closely related species pair (the erecta complex) among the four species studied; however, the overall data at the 10 loci revealed a clear dichotomy in the silent substitution patterns between the AT-biased- substitution melanogaster and erecta lineages and the GC-biased-substitution yakuba and orena lineages, suggesting two or more independent changes in GC/AT substitution biases. More importantly, the results indicated a between- loci heterogeneity in GC/AT substitution bias in this small region independently in the yakuba and orena lineages. Indeed, silent substitutions in the orena lineage were significantly biased toward G and C at the consecutive yellow, lethal of scute, and asense loci, but they were significantly biased toward A and T at sta. The substitution bias toward G and C was centered in different areas in yakuba (significantly biased at EG:165H7.3, EG:171D11.2, and suppressor of sable). The similar silent substitution patterns in coding and noncoding regions, furthermore, suggested mutational biases as a cause of the substitution biases. On the other hand, previous study reveals that Drosophila yakuba has about 20-fold higher crossover frequencies in the telomeric region of the X chromosome than does D. melanogaster; this study revealed that the total genetic map length of the yakuba X chromosome was only about 1.5 times as large as that of melanogaster and that the map length of the X-telomeric y-sta region did not differ between Drosophila yakuba and D. erecta. Taken together, the data strongly suggested that an approximately 20- fold reduction in the X-telomeric crossover frequencies occurred in the ancestral population of D. melanogaster after the melanogaster-yakuba divergence but before the melanogaster-simulans divergence.

Substitution rates in Drosophila nuclear genes: implications for translational selection

The relationships between synonymous and nonsynonymous substitution rates and between synonymous rate and codon usage bias are important to our understanding of the roles of mutation and selection in the evolution of Drosophila genes. Previous studies used approximate estimation methods that ignore codon bias. In this study we reexamine those relationships using maximum-likelihood methods to estimate substitution rates, which accommodate the transition/transversion rate bias and codon usage bias. We compiled a sample of homologous DNA sequences at 83 nuclear loci from Drosophila melanogaster and at least one other species of Drosophila. Our analysis was consistent with previous studies in finding that synonymous rates were positively correlated with nonsynonymous rates. Our analysis differed from previous studies, however, in that synonymous rates were unrelated to codon bias. We therefore conducted a simulation study to investigate the differences between approaches. The results suggested that failure to properly account for multiple substitutions at the same site and for biased codon usage by approximate methods can lead to an artifactual correlation between synonymous rate and codon bias. Implications of the results for translational selection are discussed.

The distribution of genes in the Drosophila genome

In the present work we show that in the Drosophila genome (which covers a 37-51% GC range at a DNA size of approx.50kb) a linear correlation holds between GC (or GC(3)50kb) genomic sequences embedding them. This correlation allows us to position the two compositional distributions of (a) coding sequences, and (b) of long DNA segments relative to each other and to calculate gene concentration across the compositional range of the Drosophila genome. Using this approach, we show that gene concentration increases with increasing GC of the regions embedding the genes, reaching a 7-fold higher level in the GC-richest regions compared with the GC-poorest regions. The gene distribution of the Drosophila genome is, therefore, similar to (although less striking than) that of the human genome, whereas it is very different from those of the Arabidopsis genome, which has about the same size as the Drosophila genome.

RNA secondary structure and compensatory evolution

The classic concept of epistatic fitness interactions between genes has been extended to study interactions within gene regions, especially between nucleotides that are important in maintaining pre-mRNA/mRNA secondary structures. It is shown that the majority of linkage disequilibria found within the Drosophila Adh gene are likely to be caused by epistatic selection operating on RNA secondary structures. A recently proposed method of RNA secondary structure prediction based on DNA sequence comparisons is reviewed and applied to several types of RNAs, including tRNA, rRNA, and mRNA. The patterns of covariation in these RNAs are analyzed based on Kimura's compensatory evolution model. The results suggest that this model describes the substitution process in the pairing regions (helices) of RNA secondary structures well when the helices are evolutionarily conserved and thermodynamically stable, but fails in some other cases. Epistatic selection maintaining pre-mRNA/mRNA secondary structures is compared to weak selective forces that determine features such as base composition and synonymous codon usage. The relationships among these forces and their relative strengths are addressed. Finally, our mutagenesis experiments using the Drosophila Adh locus are reviewed. These experiments analyze long-range compensatory interactions between the 5' and 3' ends of Adh mRNA, the different constraints on secondary structures in introns and exons, and the possible role of secondary structures in RNA splicing.

Local recombination and mutation effects on molecular evolution in Drosophila

I studied the cause of the significant difference in the synonymous-substitution pattern found in the achaete-scute complex genes in two Drosophila lineages, higher codon bias in Drosophila yakuba, and lower bias in D. melanogaster. Besides these genes, the functionally unrelated yellow gene showed the same substitution pattern, suggesting a region-dependent phenomenon in the X-chromosome telomere. Because the numbers of A/T --> G/C substitutions were not significantly different from those of G/C --> A/T in the yellow noncoding regions of these species, a AT/GC mutational bias could not completely account for the synonymous-substitution biases. In contrast, we did find an approximately 14-fold difference in recombination rates in the X-chromosome telomere regions between the two species, suggesting that the reduction of recombination rates in this region resulted in the reduction of the efficacy of selection in D. melanogaster. In addition, the D. orena yellow showed a 5% increase in the G + C content at silent sites in the coding and noncoding regions since the divergence from D. erecta. This pattern was significantly different from those at the orena Adh and Amy loci. These results suggest that local changes in recombination rates and mutational pressures are contributing to the irregular synonymous-substitution patterns in Drosophila.

Switch in codon bias and increased rates of amino acid substitution in the Drosophila saltans species group

We investigated the nucleotide composition of five genes, Xdh, Adh, Sod, Per, and 28SrRNA, in nine species of Drosophila (subgenus Sophophora) and one of Scaptodrosophila. The six species of the Drosophila saltans group markedly differ from the others in GC content and codon use bias. The GC content in the third codon position, and to a lesser extent in the first position and the introns, is higher in the D. melanogaster and D. obscura groups than in the D. saltans group (in Scaptodrosophila it is intermediate but closer to the melanogaster and obscura species). Differences are greater for Xdh than for Adh, Sod, Per, and 28SrRNA, which are functionally more constrained. We infer that rapid evolution of GC content in the saltans lineage is largely due to a shift in mutation pressure, which may have been associated with diminished natural selection due to smaller effective population numbers rather than reduced recombination rates. The rate of GC content evolution impacts the rate of protein evolution and may distort phylogenetic inferences. Previous observations suggesting that GC content evolution is very limited in Drosophila may have been distorted due to the restricted number of genes and species (mostly D. melanogaster) investigated.

Translational selection and molecular evolution

An interplay among experimental studies of protein synthesis, evolutionary theory, and comparisons of DNA sequence data has shed light on the roles of natural selection and genetic drift in 'silent' DNA evolution.

Codon bias evolution in Drosophila. Population genetics of mutation-selection drift

Although non-random patterns of synonymous codon usage are a prominent feature in the genomes of many organisms, the relatives roles of mutational biases and natural selection in maintaining codon bias remain a contentious issue. In some species, patterns of codon bias and empirical findings on the biology of translation suggest 'major codon preference', a balance among mutation pressure, genetic drift, and weak selection in favor of translationally superior codons. Population genetics theory makes testable predictions to distinguish such a model from a strictly mutational model of codon bias. Major codon preference predicts two fitness classes of synonymous DNA changes: 'preferred' mutations from non-major to major codons and 'unpreferred' changes in the opposite direction. An extension of current statistical methods is employed to reveal differences in the within and between species dynamics of preferred and unpreferred silent mutations in Drosophila simulans. In this lineage, codon bias appears to be maintained under roughly equal magnitudes of natural selection and genetic drift. In the sibling species, D. melanogaster, however, a reduction in N(e)s, the product of effective population size and selection coefficient, appears to have allowed a genome-wide reduction in codon bias.

Natural selection and the frequency distributions of "silent" DNA polymorphism in Drosophila

In Escherichia coli, Saccharomyces cerevisiae, and Drosophila melanogaster, codon bias may be maintained by a balance among mutation pressure, genetic drift, and natural selection favoring translationally superior codons. Under such an evolutionary model, silent mutations fall into two fitness categories: preferred mutations that increase codon bias and unpreferred changes in the opposite direction. This prediction can be tested by comparing the frequency spectra of synonymous changes segregating within populations; natural selection will elevate the frequencies of advantageous mutations relative to that of deleterious changes. The frequency distributions of preferred and unpreferred mutations differ in the predicted direction among 99 alleles of two D. pseudoobscura genes and five alleles of eight D. simulans genes. This result confirms the existence of fitness classes of silent mutations. Maximum likelihood estimates suggest that selection intensity at silent sites is, on average, very weak in both D. pseudoobscura and D. simulans (magnitude of NS approximately 1). Inference of evolutionary processes from within-species sequence variation is often hindered by the assumption of a stationary frequency distribution. This assumption can be avoided when identifying the action of selection and tested when estimating selection intensity.

Selection and methionine accumulation in the fat body protein 2 gene (FBP2), a duplicate of the Drosophila alcohol dehydrogenase (ADH) gene

The Drosophila fat body protein 2 gene (Fbp2) is an ancient duplication of the alcohol dehydrogenase gene (Adh) which encodes a protein that differs substantially from ADH in its methionine content. In D. melanogaster, there is one methionine in ADH, while there are 51 (20% of all amino acids) in FBP2. Methionine is involved in 46% of amino acid replacements when Fbp2 DNA sequences are compared between D. melanogaster and D. pseudoobscura. Methionine accumulation does not affect conserved residues of the ADH-ADHr-FBP2 multigene family. The multigene family has evolved by replacement of mildly hydrophobic amino acids by methionine with no apparent reversion. Its short-term evolution was compared between two Drosophila species, while its long-term evolution was compared between two genera belonging respectively to acalyptrate and calyptrate Diptera, Drosophila and Sarcophaga. The pattern of nucleotide substitution was consistent with an independent accumulation of methionines at the Fbp2 locus in each lineage. Under a steady-state model, the rate of methionine accumulation was constant in the lineage leading to Drosophila, and was twice as fast as that in the calyptrate lineage. Substitution rates were consistent with a slight positive selective advantage for each methionine change in about one-half of amino acid sites in Drosophila. This shows that selection can potentially account for a large proportion of amino acid replacements in the molecular evolution of proteins.

Molecular evolution between Drosophila melanogaster and D. simulans: reduced codon bias, faster rates of amino acid substitution, and larger proteins in D. melanogaster

Both natural selection and mutational biases contribute to variation in codon usage bias within Drosophila species. This study addresses the cause of codon bias differences between the sibling species, Drosophila melanogaster and D. simulans. Under a model of mutation-selection-drift, variation in mutational processes between species predicts greater base composition differences in neutrally evolving regions than in highly biased genes. Variation in selection intensity, however, predicts larger base composition differences in highly biased loci. Greater differences in the G+C content of 34 coding regions than 46 intron sequences between D. melanogaster and D. simulans suggest that D. melanogaster has undergone a reduction in selection intensity for codon bias. Computer simulations suggest at least a fivefold reduction in Nes at silent sites in this lineage. Other classes of molecular change show lineage effects between these species. Rates of amino acid substitution are higher in the D. melanogaster lineage than in D. simulans in 14 genes for which outgroup sequences are available. Surprisingly, protein sizes are larger in D. melanogaster than in D. simulans in the 34 genes compared between the two species. A substantial fraction of silent, replacement, and insertion/deletion mutations in coding regions may be weakly selected in Drosophila.

Synonymous substitutions in the Xdh gene of Drosophila: heterogeneous distribution along the coding region

The Xdh (rosy) region of Drosophila subobscura has been sequenced and compared to the homologous region of D. pseudoobscura and D. melanogaster. Estimates of the numbers of synonymous substitutions per site (Ks) confirm that Xdh has a high synonymous substitution rate. The distributions of both nonsynonymous and synonymous substitutions along the coding region were found to be heterogeneous. Also, no relationship has been detected between Ks estimates and codon usage bias along the gene, in contrast with the generally observed relationship among genes. This heterogeneous distribution of synonymous substitutions along the Xdh gene, which is expression-level independent, could be explained by a differential selection pressure on synonymous sites along the coding region acting on mRNA secondary structure. The synonymous rate in the Xdh coding region is lower in the D. subobscura than in the D. pseudoobscura lineage, whereas the reverse is true for the Adh gene.

Inferring weak selection from patterns of polymorphism and divergence at "silent" sites in Drosophila DNA

Patterns of codon usage and "silent" DNA divergence suggest that natural selection discriminates among synonymous codons in Drosophila. "Preferred" codons are consistently found in higher frequencies within their synonymous families in Drosophila melanogaster genes. This suggests a simple model of silent DNA evolution where natural selection favors mutations from unpreferred to preferred codons (preferred changes). Changes in the opposite direction, from preferred to unpreferred synonymous codons (unpreferred changes), are selected against. Here, selection on synonymous DNA mutations is investigated by comparing the evolutionary dynamics of these two categories of silent DNA changes. Sequences from outgroups are used to determine the direction of synonymous DNA changes within and between D. melanogaster and Drosophila simulans for five genes. Population genetics theory shows that differences in the fitness effect of mutations can be inferred from the comparison of ratios of polymorphism to divergence. Unpreferred changes show a significantly higher ratio of polymorphism to divergence than preferred changes in the D. simulans lineage, confirming the action of selection at silent sites. An excess of unpreferred fixations in 28 genes suggests a relaxation of selection on synonymous mutations in D. melanogaster. Estimates of selection coefficients for synonymous mutations (3.6 < magnitude of Nes < 1.3) in D. simulans are consistent with the reduced efficacy of natural selection (magnitude of Nes < 1) in the three- to sixfold smaller effective population size of D. melanogaster. Synonymous DNA changes appear to be a prevalent class of weakly selected mutations in Drosophila.

Codon usage and genome evolution

The rates and patterns of evolution at silent sites in codons reveal much about the basic features of molecular evolution. Recent increases in the amount of sequence data available for various species and more precise knowledge of the chromosomal locations of those sequences, coming in particular from genome projects, reveal that some features of molecular evolution vary around the genome.

The effects of mutation and natural selection on codon bias in the genes of Drosophila

Codon bias varies widely among the loci of Drosophila melanogaster, and some of this diversity has been explained by variation in the strength of natural selection. A study of correlations between intron and coding region base composition shows that variation in mutation pattern also contributes to codon bias variation. This finding is corroborated by an analysis of variance (ANOVA), which shows a tendency for introns from the same gene to be similar in base composition. The strength of base composition correlations between introns and codon third positions is greater for genes with low codon bias than for genes with high codon bias. This pattern can be explained by an overwhelming effect of natural selection, relative to mutation, in highly biased loci. In particular, this correlation is absent when examining fourfold degenerate sites of highly biased genes. In general, it appears that selection acts more strongly in choosing among fourfold degenerate codons than among twofold degenerate codons. Although the results indicate regional variation in mutational bias, no evidence is found for large scale regions of compositional homogeneity.

Synonymous codon usage in Drosophila melanogaster: natural selection and translational accuracy

I present evidence that natural selection biases synonymous codon usage to enhance the accuracy of protein synthesis in Drosophila melanogaster. Since the fitness cost of a translational misincorporation will depend on how the amino acid substitution affects protein function, selection for translational accuracy predicts an association between codon usage in DNA and functional constraint at the protein level. The frequency of preferred codons is significantly higher at codons conserved for amino acids than at nonconserved codons in 38 genes compared between D. melanogaster and Drosophila virilis or Drosophila pseudoobscura (Z = 5.93, P < 10(-6)). Preferred codon usage is also significantly higher in putative zinc-finger and homeodomain regions than in the rest of 28 D. melanogaster transcription factor encoding genes (Z = 8.38, P < 10(-6)). Mutational alternatives (within-gene differences in mutation rates, amino acid changes altering codon preference states, and doublet mutations at adjacent bases) do not appear to explain this association between synonymous codon usage and amino acid constraint.

Genome evolution: between the nucleosome and the chromosome

Intermediate between DNA sequences and broad patterns of karyotypic change there is a major gap in understanding genome structure and evolution. The gap is at the megabase level between genes and chromosomes. New methods for analyzing large DNA fragments cloned in yeast or bacterial vectors provide experimental access to genome evolution at the megabase level by enabling the assembly of megabase-size contiguous regions. Genome evolution at the megabase level can also be studied using high-resolution genetic maps. Rates and patterns of genome evolution in mammals (mouse versus humans) and Drosophila (D. virilis versus D. melanogaster) are compared and contrasted. Opportunities for research in genome evolution using the new technologies are enumerated and discussed.