Effect of the assignment of ancestral CpG state on the estimation of nucleotide substitution rates in mammals

Recent Evolution in Rattus norvegicus Is Shaped by Declining Effective Population Size

The brown rat, Rattus norvegicus, is both a notorious pest and a frequently used model in biomedical research. By analyzing genome sequences of 12 wild-caught brown rats from their presumed ancestral range in NE China, along with the sequence of a black rat, Rattus rattus, we investigate the selective and demographic forces shaping variation in the genome. We estimate that the recent effective population size (N_e) of this species = 1.24×105, based on silent site diversity. We compare patterns of diversity in these genomes with patterns in multiple genome sequences of the house mouse (Mus musculus castaneus), which has a much larger N_e. This reveals an important role for variation in the strength of genetic drift in mammalian genome evolution. By a Pairwise Sequentially Markovian Coalescent analysis of demographic history, we infer that there has been a recent population size bottleneck in wild rats, which we date to approximately 20,000 years ago. Consistent with this, wild rat populations have experienced an increased flux of mildly deleterious mutations, which segregate at higher frequencies in protein-coding genes and conserved noncoding elements. This leads to negative estimates of the rate of adaptive evolution (α) in proteins and conserved noncoding elements, a result which we discuss in relation to the strongly positive estimates observed in wild house mice. As a consequence of the population bottleneck, wild rats also show a markedly slower decay of linkage disequilibrium with physical distance than wild house mice.

Biased gene conversion skews allele frequencies in human populations, increasing the disease burden of recessive alleles

Gene conversion results in the nonreciprocal transfer of genetic information between two recombining sequences, and there is evidence that this process is biased toward G and C alleles. However, the strength of GC-biased gene conversion (gBGC) in human populations and its effects on hereditary disease have yet to be assessed on a genomic scale. Using high-coverage whole-genome sequences of African hunter-gatherers, agricultural populations, and primate outgroups, we quantified the effects of GC-biased gene conversion on population genomic data sets. We find that genetic distances (FST and population branch statistics) are modified by gBGC. In addition, the site frequency spectrum is left-shifted when ancestral alleles are favored by gBGC and right-shifted when derived alleles are favored by gBGC. Allele frequency shifts due to gBGC mimic the effects of natural selection. As expected, these effects are strongest in high-recombination regions of the human genome. By comparing the relative rates of fixation of unbiased and biased sites, the strength of gene conversion was estimated to be on the order of Nb ≈ 0.05 to 0.09. We also find that derived alleles favored by gBGC are much more likely to be homozygous than derived alleles at unbiased SNPs (+42.2% to 62.8%). This results in a curse of the converted, whereby gBGC causes substantial increases in hereditary disease risks. Taken together, our findings reveal that GC-biased gene conversion has important population genetic and public health implications.

System analysis of synonymous codon usage biases in archaeal virus genomes

Recent studies of geothermally heated aquatic ecosystems have found widely divergent viruses with unusual morphotypes. Archaeal viruses isolated from these hot habitats usually have double-stranded DNA genomes, linear or circular, and can infect members of the Archaea domain. In this study, the synonymous codon usage bias (SCUB) and dinucleotide composition in the available complete archaeal virus genome sequences have been investigated. It was found that there is a significant variation in SCUB among different Archaeal virus species, which is mainly determined by the base composition. The outcome of correspondence analysis (COA) and Spearman׳s rank correlation analysis shows that codon usage of selected archaeal virus genes depends mainly on GC richness of genome, and the gene׳s function, albeit with smaller effects, also contributes to codon usage in this virus. Furthermore, this investigation reveals that aromaticity of each protein is also critical in affecting SCUB of these viral genes although it was less important than that of the mutational bias. Especially, mutational pressure may influence SCUB in SIRV1, SIRV2, ARV1, AFV1, and PhiCh1 viruses, whereas translational selection could play a leading role in HRPV1׳s SCUB. These conclusions not only can offer an insight into the codon usage biases of archaeal virus and subsequently the possible relationship between archaeal viruses and their host, but also may help in understanding the evolution of archaeal viruses and their gene classification, and more helpful to explore the origin of life and the evolution of biology.

•

The SCUB of archaeal virus genes depends mainly on GC richness of genome.

•

The mutational pressure is the main factor that influences SCUB.

•

The aromaticity of each protein is also critical in affecting SCUB.

•

The translational selection could play a leading role in HRPV1׳s SCUB.

•

The mode is helpful to explore the origin of life and the evolution of biology.

Faster-X adaptive protein evolution in house mice

The causes of the large effect of the X chromosome in reproductive isolation and speciation have long been debated. The faster-X hypothesis predicts that X-linked loci are expected to have higher rates of adaptive evolution than autosomal loci if new beneficial mutations are on average recessive. Reproductive isolation should therefore evolve faster when contributing loci are located on the X chromosome. In this study, we have analyzed genome-wide nucleotide polymorphism data from the house mouse subspecies Mus musculus castaneus and nucleotide divergence from Mus famulus and Rattus norvegicus to compare rates of adaptive evolution for autosomal and X-linked protein-coding genes. We found significantly faster adaptive evolution for X-linked loci, particularly for genes with expression in male-specific tissues, but autosomal and X-linked genes with expression in female-specific tissues evolve at similar rates. We also estimated rates of adaptive evolution for genes expressed during spermatogenesis and found that X-linked genes that escape meiotic sex chromosome inactivation (MSCI) show rapid adaptive evolution. Our results suggest that faster-X adaptive evolution is either due to net recessivity of new advantageous mutations or due to a special gene content of the X chromosome, which regulates male function and spermatogenesis. We discuss how our results help to explain the large effect of the X chromosome in speciation.

Statistics and truth in phylogenomics

Phylogenomics refers to the inference of historical relationships among species using genome-scale sequence data and to the use of phylogenetic analysis to infer protein function in multigene families. With rapidly decreasing sequencing costs, phylogenomics is becoming synonymous with evolutionary analysis of genome-scale and taxonomically densely sampled data sets. In phylogenetic inference applications, this translates into very large data sets that yield evolutionary and functional inferences with extremely small variances and high statistical confidence (P value). However, reports of highly significant P values are increasing even for contrasting phylogenetic hypotheses depending on the evolutionary model and inference method used, making it difficult to establish true relationships. We argue that the assessment of the robustness of results to biological factors, that may systematically mislead (bias) the outcomes of statistical estimation, will be a key to avoiding incorrect phylogenomic inferences. In fact, there is a need for increased emphasis on the magnitude of differences (effect sizes) in addition to the P values of the statistical test of the null hypothesis. On the other hand, the amount of sequence data available will likely always remain inadequate for some phylogenomic applications, for example, those involving episodic positive selection at individual codon positions and in specific lineages. Again, a focus on effect size and biological relevance, rather than the P value, may be warranted. Here, we present a theoretical overview and discuss practical aspects of the interplay between effect sizes, bias, and P values as it relates to the statistical inference of evolutionary truth in phylogenomics.

Substitution rate variation at human CpG sites correlates with non-CpG divergence, methylation level and GC content

BACKGROUND

A major goal in the study of molecular evolution is to unravel the mechanisms that induce variation in the germ line mutation rate and in the genome-wide mutation profile. The rate of germ line mutation is considerably higher for cytosines at CpG sites than for any other nucleotide in the human genome, an increase commonly attributed to cytosine methylation at CpG sites. The CpG mutation rate, however, is not uniform across the genome and, as methylation levels have recently been shown to vary throughout the genome, it has been hypothesized that methylation status may govern variation in the rate of CpG mutation.

RESULTS

Here, we use genome-wide methylation data from human sperm cells to investigate the impact of DNA methylation on the CpG substitution rate in introns of human genes. We find that there is a significant correlation between the extent of methylation and the substitution rate at CpG sites. Further, we show that the CpG substitution rate is positively correlated with non-CpG divergence, suggesting susceptibility to factors responsible for the general mutation rate in the genome, and negatively correlated with GC content. We only observe a minor contribution of gene expression level, while recombination rate appears to have no significant effect.

CONCLUSIONS

Our study provides the first direct empirical support for the hypothesis that variation in the level of germ line methylation contributes to substitution rate variation at CpG sites. Moreover, we show that other genomic features also impact on CpG substitution rate variation.

The role of the effective population size in compensatory evolution

The impact of the effective population size (N_e) on the efficacy of selection has been the focus of many theoretical and empirical studies over the recent years. Yet, the effect of N_e on evolution under epistatic fitness interactions is not well understood. In this study, we compare selective constraints at independently evolving (unpaired) and coevolving (paired) sites in orthologous transfer RNAs (tRNA molecules for vertebrate and drosophilid species pairs of different N_e. We show that patterns of nucleotide variation for the two classes of sites are explained well by Kimura's one- and two-locus models of sequence evolution under mutational pressure. We find that constraints in orthologous tRNAs increase with increasing N_e of the investigated species pair. Thereby, the effect of N_e on the efficacy of selection is stronger at unpaired sites than at paired sites. Furthermore, we identify a “core” set of tRNAs with high structural similarity to tRNAs from all major kingdoms of life and a “peripheral” set with lower similarity. We observe that tRNAs in the former set are subject to higher constraints and less prone to the effect of N_e, whereas constraints in tRNAs of the latter set show a large influence of N_e. Finally, we are able to demonstrate that constraints are relaxed in X-linked drosophilid tRNAs compared with autosomal tRNAs and suggest that N_e is responsible for this difference. The observed effects of N_e are consistent with the hypothesis that evolution of most tRNAs is governed by slightly to moderately deleterious mutations (i.e., |N_es| ≤ 5).

Inference of mutation parameters and selective constraint in mammalian coding sequences by approximate Bayesian computation

We develop an inference method that uses approximate Bayesian computation (ABC) to simultaneously estimate mutational parameters and selective constraint on the basis of nucleotide divergence for protein-coding genes between pairs of species. Our simulations explicitly model CpG hypermutability and transition vs. transversion mutational biases along with negative and positive selection operating on synonymous and nonsynonymous sites. We evaluate the method by simulations in which true mean parameter values are known and show that it produces reasonably unbiased parameter estimates as long as sequences are not too short and sequence divergence is not too low. We show that the use of quadratic regression within ABC offers an improvement over linear regression, but that weighted regression has little impact on the efficiency of the procedure. We apply the method to estimate mutational and selective constraint parameters in data sets of protein-coding genes extracted from the genome sequences of primates, murids, and carnivores. Estimates of CpG hypermutability are substantially higher in primates than murids and carnivores. Nonsynonymous site selective constraint is substantially higher in murids and carnivores than primates, and autosomal nonsynonymous constraint is higher than X-chromsome constraint in all taxa. We detect significant selective constraint at synonymous sites in primates, carnivores, and murid rodents. Synonymous site selective constraint is weakest in murids, a surprising result, considering that murid effective population sizes are likely to be considerably higher than the other two taxa.

Selective constraints in conserved folded RNAs of drosophilid and hominid genomes

Small noncoding RNAs as well as folded RNA structures in genic regions are crucial for many cellular processes. They are involved in posttranscriptional gene regulation (microRNAs), RNA modification (small nucleolar RNAs), regulation of splicing, correct localization of proteins, and many other processes. In most cases, a distinct secondary structure of the molecule is necessary for its correct function. Hence, selection should act to retain the structure of the molecule, although the underlying sequence is allowed to vary. Here, we present the first genome-wide estimates of selective constraints in folded RNA molecules in the nuclear genomes of drosophilids and hominids. In comparison to putatively neutrally evolving sites, we observe substantially reduced rates of substitutions at paired and unpaired sites of folded molecules. We estimated evolutionary constraints to be in the ranges of (0.974,0.991) and (0.895,1.000) for paired nucleotides in drosophilids and hominids, respectively. These values are significantly higher than for constraints at nonsynonymous sites of protein-coding genes in both genera. Nonetheless, valleys of only moderately reduced fitness (s ≈ 10(-4)) are sufficient to generate the observed fraction of nucleotide changes that are removed by purifying selection. In addition, a comparison of selective coefficients between drosophilids and hominids revealed significantly higher constraints in drosophilids, which can be attributed to the difference in long-term effective population size between these two groups of species. This difference is particularly apparent at the independently evolving (unpaired) sites.

The mutational spectrum of non-CpG DNA varies with CpG content

The accumulation of base substitutions (mutations) not subject to natural selection is the neutral mutation rate. Because this rate reflects the in vivo processes involved in maintaining the integrity of genetic information, the factors that affect the neutral mutation rate are of considerable interest. Mammals exhibit two dramatically different neutral mutation rates: the CpG mutation rate, wherein the C of most CpGs (i.e., methyl-CpG) mutate at 10-50 times that of C in any other context or of any other base. The latter mutations constitute the non-CpG rate. The high CpG rate results from the spontaneous deamination of methyl-C to T and incomplete restoration of the ensuing T:G mismatches to C:Gs. Here, we determined the neutral non-CpG mutation rate as a function of CpG content by comparing sequence divergence of thousands of pairs of neutrally evolving chimpanzee and human orthologs that differ primarily in CpG content. Both the mutation rate and the mutational spectrum (transition/transversion ratio) of non-CpG residues change in parallel as sigmoidal (logistic) functions of CpG content. As different mechanisms generate transitions and transversions, these results indicate that both mutation rate and mutational processes are contingent on the local CpG content. We consider several possible mechanisms that might explain how CpG exerts these effects.

Distributions of selectively constrained sites and deleterious mutation rates in the hominid and murid genomes

Protein-coding sequences make up only about 1% of the mammalian genome. Much of the remaining 99% has been long assumed to be junk DNA, with little or no functional significance. Here, we show that in hominids, a group with historically low effective population sizes, all classes of noncoding DNA evolve more slowly than ancestral transposable elements and so appear to be subject to significant evolutionary constraints. Under the nearly neutral theory, we expected to see lower levels of selective constraints on most sequence types in hominids than murids, a group that is thought to have a higher effective population size. We found that this is the case for many sequence types examined, the most extreme example being 5'UTRs, for which constraint in hominids is only about one-third that of murids. Surprisingly, however, we observed higher constraints for some sequence types in hominids, notably 4-fold sites, where constraint is more than twice as high as in murids. This implies that more than about one-fifth of mutations at 4-fold sites are effectively selected against in hominids. The higher constraint at 4-fold sites in hominids suggests a more complex protein-coding gene structure than murids and indicates that methods for detecting selection on protein-coding sequences (e.g., using the d(N)/d(S) ratio), with 4-fold sites as a neutral standard, may lead to biased estimates, particularly in hominids. Our constraint estimates imply that 5.4% of nucleotide sites in the human genome are subject to effective negative selection and that there are three times as many constrained sites within noncoding sequences as within protein-coding sequences. Including coding and noncoding sites, we estimate that the genomic deleterious mutation rate U = 4.2. The mutational load predicted under a multiplicative model is therefore about 99% in hominids.