Recombination drives vertebrate genome contraction

Selective and/or neutral processes may govern variation in DNA content and, ultimately, genome size. The observation in several organisms of a negative correlation between recombination rate and intron size could be compatible with a neutral model in which recombination is mutagenic for length changes. We used whole-genome data on small insertions and deletions within transposable elements from chicken and zebra finch to demonstrate clear links between recombination rate and a number of attributes of reduced DNA content. Recombination rate was negatively correlated with the length of introns, transposable elements, and intergenic spacer and with the rate of short insertions. Importantly, it was positively correlated with gene density, the rate of short deletions, the deletion bias, and the net change in sequence length. All these observations point at a pattern of more condensed genome structure in regions of high recombination. Based on the observed rates of small insertions and deletions and assuming that these rates are representative for the whole genome, we estimate that the genome of the most recent common ancestor of birds and lizards has lost nearly 20% of its DNA content up until the present. Expansion of transposable elements can counteract the effect of deletions in an equilibrium mutation model; however, since the activity of transposable elements has been low in the avian lineage, the deletion bias is likely to have had a significant effect on genome size evolution in dinosaurs and birds, contributing to the maintenance of a small genome. We also demonstrate that most of the observed correlations between recombination rate and genome contraction parameters are seen in the human genome, including for segregating indel polymorphisms. Our data are compatible with a neutral model in which recombination drives vertebrate genome size evolution and gives no direct support for a role of natural selection in this process.     

The Correlation Between Recombination Rate and Dinucleotide Bias in Drosophila melanogaster

Revealing how recombination affects genomic sequence is of great significance to our understanding of genome evolution. The present paper focuses on the correlation between recombination rate and dinucleotide bias in Drosophila melanogaster genome. Our results show that the overall dinucleotide bias is positively correlated with recombination rate for genomic sequences including untranslated regions, introns, intergenic regions, and coding sequences. The correlation patterns of individual dinucleotide biases with recombination rate are presented. Possible mechanisms of interaction between recombination and dinucleotide bias are discussed. Our data indicate that there may be a genome-wide universal mechanism acting between recombination rate and dinucleotide bias, which is likely to be neighbor-dependent biased gene conversion.     

Compositional Bias is a Major Determinant of the Distribution Pattern and Abundance of Palindromes in Drosophila melanogaster

Palindromic sequences are important DNA motifs related to gene regulation, DNA replication and recombination, and thus, investigating the evolutionary forces shaping the distribution pattern and abundance of palindromes in the genome is substantially important. In this article, we analyzed the abundance of palindromes in the genome, and then explored the possible effects of several genomic factors on the palindrome distribution and abundance in Drosophila melanogaster. Our results show that the palindrome abundance in D. melanogaster deviates from random expectation and the uneven distribution of palindromes across the genome is associated with local GC content, recombination rate, and coding exon density. Our data suggest that base composition is the major determinant of the distribution pattern and abundance of palindromes and the correlation between palindrome density and recombination is a side-product of the effect of compositional bias on the palindrome abundance.     

Intron size correlates positively with recombination rate in Caenorhabditis elegans

A negative correlation between intron size and recombination rate has been reported for the Drosophila melanogaster and human genomes. Population-genetic models suggest that this pattern could be caused by an interaction between recombination rate and the efficacy of natural selection. To test this idea, we examined variation in intron size and recombination rate across the genome of the nematode Caenorhabditis elegans. Interestingly, we found that intron size correlated positively with recombination rate in this species.     

Recombination Rate and AT-content Show Opposite Correlations in Mammalian and Other Animal Genomes

Genomes are often characterized by their genome size, recombination rate and nucleotide content. Negative correlations of recombination rate and AT-content have been reported for selected species. Here we investigate 26 completely sequenced animal genomes with respect to their genomic characteristics. After correcting for phylogenetic correlations we find significant correlations between these characters, showing that these do not evolve independently. The genomes of mammals differ when compared to other animal genomes. Correlations between AT-content and recombination rate are negative, but only for mammals. All other animals show a positive correlation for these characters. These results show that studies on the relationship between genome characteristics using single species might lead to the right conclusion, but cannot be applied as a general rule to all taxonomic groups. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

人类基因组信息量的扩增速率受重组的影响

减数分裂重组是基因组进化的重要驱动力,揭示基因组在与重组有关进化压力下的进化规律是基因组进化研究领域的重要课题．一系列证据表明基因组编码信息量在进化过程中随时间增加．重组率与自然选择效率成正比,因此,在进化过程中基因组信息量的增加速率可能会受到重组率的影响．本文定义表征编码信息量增加速率的信息参数,以人类基因组为研究对象,分析基因组信息量的增加速率与重组率的关系,发现二者显著正相关,表明重组可能是加快基因组信息量增长的重要途径．     

Microsatellite variation and recombination rate in the human genome

Background (purifying) selection on deleterious mutations is expected to remove linked neutral mutations from a population, resulting in a positive correlation between recombination rate and levels of neutral genetic variation, even for markers with high mutation rates. We tested this prediction of the background selection model by comparing recombination rate and levels of microsatellite polymorphism in humans. Published data for 28 unrelated Europeans were used to estimate microsatellite polymorphism (number of alleles, heterozygosity, and variance in allele size) for loci throughout the genome. Recombination rates were estimated from comparisons of genetic and physical maps. First, we analyzed 61 loci from chromosome 22, using the complete sequence of this chromosome to provide exact physical locations. These 61 microsatellites showed no correlation between levels of variation and recombination rate. We then used radiation-hybrid and cytogenetic maps to calculate recombination rates throughout the genome. Recombination rates varied by more than one order of magnitude, and most chromosomes showed significant suppression of recombination near the centromere. Genome-wide analyses provided no evidence for a strong positive correlation between recombination rate and polymorphism, although analyses of loci with at least 20 repeats suggested a weak positive correlation. Comparisons of microsatellites in lowest-recombination and highest-recombination regions also revealed no difference in levels of polymorphism. Together, these results indicate that background selection is not a major determinant of microsatellite variation in humans.     

The evolution of genome size: what can be learned from anuran development?

Differences in nuclear DNA content in vertebrates have been shown to be correlated with cell size, cell division rate, and embryonic developmental rate. We compare seven species of anuran amphibians with a three-fold range of genome sizes. Parameters examined include the number and density of cells in a number of embryonic structures, and the change in cell number in the CNS during development. We show that genome size is correlated with cell proliferation rate and with developmental rate at different stages of embryonic development, but that the correlation between genome size and cell size is only evident at later stages. We discuss the evolution of genome size in amphibians. Our discussion takes into account data that reportedly support two conflicting hypotheses: the "skeletal DNA" hypothesis, which claims a selective role for differences in genome size, and the "junk DNA" hypothesis, which claims that differences in genome size are a random result of the accumulation of noncoding DNA sequences. We show that these supposedly conflicting hypotheses can be integrated into a more complex and inclusive model for the evolution of genome size.     

Natural selection affects multiple aspects of genetic variation at putatively neutral sites across the human genome

A major question in evolutionary biology is how natural selection has shaped patterns of genetic variation across the human genome. Previous work has documented a reduction in genetic diversity in regions of the genome with low recombination rates. However, it is unclear whether other summaries of genetic variation, like allele frequencies, are also correlated with recombination rate and whether these correlations can be explained solely by negative selection against deleterious mutations or whether positive selection acting on favorable alleles is also required. Here we attempt to address these questions by analyzing three different genome-wide resequencing datasets from European individuals. We document several significant correlations between different genomic features. In particular, we find that average minor allele frequency and diversity are reduced in regions of low recombination and that human diversity, human-chimp divergence, and average minor allele frequency are reduced near genes. Population genetic simulations show that either positive natural selection acting on favorable mutations or negative natural selection acting against deleterious mutations can explain these correlations. However, models with strong positive selection on nonsynonymous mutations and little negative selection predict a stronger negative correlation between neutral diversity and nonsynonymous divergence than observed in the actual data, supporting the importance of negative, rather than positive, selection throughout the genome. Further, we show that the widespread presence of weakly deleterious alleles, rather than a small number of strongly positively selected mutations, is responsible for the correlation between neutral genetic diversity and recombination rate. This work suggests that natural selection has affected multiple aspects of linked neutral variation throughout the human genome and that positive selection is not required to explain these observations.     

LDJump: Estimating variable recombination rates from population genetic data

As recombination plays an important role in evolution, its estimation and the identification of hotspot positions is of considerable interest. We propose a novel approach for estimating population recombination rates based on genotyping or sequence data that involves a sequential multiscale change point estimator. Our method also permits demography to be taken into account. It uses several summary statistics within a regression model fitted on suitable scenarios. Our proposed method is accurate, computationally fast, and provides a parsimonious solution by ensuring a type I error control against too many changes in the recombination rate. An application to human genome data suggests a good congruence between our estimated and experimentally identified hotspots. Our method is implemented in the R ‐package LDJump, which is freely available at https://github.com/PhHermann/LDJump .     

一种新的基于Red重组及I-Sec I体内切割的大肠杆菌基因组无痕删减方法

目前常用的基因修饰方法是在Red同源重组介导下,电转线性PCR片段替换染色体上指定序列。因PCR过程错误掺入,该方法常常会在同源序列部位产生一些突变。为了避免此类突变,我们建立了一种新的无痕删除方法。首先将含有抗性标记(两侧带有I-Sec I识别位点)的线性DNA电转到Red重组感受态细胞内,用抗性基因替换基因组上指定序列;然后,将携带融合同源臂(两侧带有I-Sec I位点)的供体质粒导入上述细胞,诱导表达I-Sec I内切酶切割供体质粒释放同源片段,同时切除染色体上抗性基因产生双链断裂,通过分子间同源重组实现无痕删除。我们应用该方法连续删除了大肠杆菌DH1基因组上11个非必需区,使基因组减小10.59%。PCR测序证明所有删减区域同源臂未发生突变,基因组重测序证明指定区域被删除。删减菌的生长变化不大,但耐酸能力有所改变,并对番茄红素合成有不同影响。     

Megacycles of atmospheric carbon dioxide concentration correlate with fossil plant genome size

Tectonic processes drive megacycles of atmospheric carbon dioxide (CO(2)) concentration, c(a), that force large fluctuations in global climate. With a period of several hundred million years, these megacycles have been linked to the evolution of vascular plants, but adaptation at the subcellular scale has been difficult to determine because fossils typically do not preserve this information. Here we show, after accounting for evolutionary relatedness using phylogenetic comparative methods, that plant nuclear genome size (measured as the haploid DNA amount) and the size of stomatal guard cells are correlated across a broad taxonomic range of extant species. This phylogenetic regression was used to estimate the mean genome size of fossil plants from the size of fossil stomata. For the last 400 Myr, spanning almost the full evolutionary history of vascular plants, we found a significant correlation between fossil plant genome size and c(a), modelled independently using geochemical data. The correlation is consistent with selection for stomatal size and genome size by c(a) as plants adapted towards optimal leaf gas exchange under a changing CO(2) regime. Our findings point to the possibility that major episodes of change in c(a) throughout Earth history might have selected for changes in genome size, influencing plant diversification.     

Neutral effect of recombination on base composition in Drosophila

Recombination is thought to have various evolutionary effects on genome evolution. In this study, we investigated the relationship between the base composition and recombination rate in the Drosophila melanogaster genome. Because of a current debate about the accuracy of the estimates of recombination rate in Drosophila, we used eight different measures of recombination rate from recent work. We confirmed that the G + C content of large introns and flanking regions is positively correlated with recombination rate, suggesting that recombination has a neutral effect on base composition in Drosophila. We also confirmed that this neutral effect of recombination is the main determinant of the correlation between synonymous codon usage bias and recombination rate in Drosophila.     

Organization and expression of the mitochondrial genome in the Nicotiana sylvestris CMSII mutant.

Previous analyses suggested that the Nicotiana sylvestris CMSII mutant carried a large deletion in its mitochondrial genome. Here, we show by cosmid mapping that the deletion is 60 kb in length and contains several mitochondrial genes or ORFs, including the complex I nad7 gene. However, due to the presence of large duplications in the progenitor mitochondrial genome, the only unique gene that appears to be deleted is nad7. RNA gel blot data confirm the absence of nad7 expression, strongly suggesting that the molecular basis for the CMSII abnormal phenotype, poor growth and male sterility, is the altered complex I structure. The CMSII mitochondrial genome appears to consist essentially of one of two subgenomes resulting from recombination between direct short repeats. In the progenitor mitochondrial genome both recombination products are detected by PCR and, reciprocally, the parental fragments are detected at the substoichiometric level in the mutant. The CMSII mtDNA organization has been maintained through six sexual generations.     

Recombination enhances protein adaptation in Drosophila melanogaster

Evolutionary theory predicts that the rate and level of adaptation will be enhanced in sexual relative to asexual genomes because sexual recombination facilitates the elimination of deleterious mutations and the fixation of beneficial ones by natural selection. To date, the most compelling evidence for this prediction comes from experimental evolution studies and from loci completely lacking recombination, such as those on Y chromosomes, which often show reduced adaptation and even degeneration. Here, by analyzing replacement and silent DNA polymorphism and divergence at 98 loci, I show that recombination increases the efficacy of protein adaptation throughout the genome of the fruit fly Drosophila melanogaster. Genes residing in genomic regions with reduced recombination rates suffer a greater load of segregating, mildly deleterious mutations and fix fewer beneficial mutations than genes residing in regions with higher recombination rates. These findings suggest that the capacity to respond to natural selection varies with recombination rate across the genome, consistent with theory on the evolutionary advantages of sex and recombination.     

Microcolinearity and genome evolution in the AdhA region of diploid and polyploid cotton (Gossypium)

Genome sizes vary by several orders of magnitude, driven by mechanisms such as illegitimate recombination and transposable element proliferation. Prior analysis of the CesA region in two cotton genomes that diverged 5–10 million years ago (Ma), and acquired a twofold difference in genome size, revealed extensive local conservation of genic and intergenic regions, with no evidence of the global genome size difference. The present study extends the comparison to include BAC sequences surrounding the gene encoding alcohol dehydrogenase A ( AdhA ) from four cotton genomes: the two co-resident genomes (A_T and D_T) of the allotetraploid, Gossypium hirsutum , as well as the model diploid progenitors, Gossypium arboreum (A) and Gossypium raimondii (D). In contrast to earlier work, evolution in the AdhA region reflects, in a microcosm, the overall difference in genome size, with a nearly twofold difference in aligned sequence length. Most size differences may be attributed to differential accumulation of retroelements during divergence of the genome diploids from their common ancestor, but in addition there has been a biased accumulation of small deletions, such that those in the smaller D genome are on average twice as large as those in the larger A genome. The data also provide evidence for the global phenomenon of 'genomic downsizing' in polyploids shortly after formation. This in part reflects a higher frequency of small deletions post-polyploidization, and increased illegitimate recombination. In conjunction with previous work, the data here confirm the conclusion that genome size evolution reflects many forces that collectively operate heterogeneously among genomic regions.     

Processed pseudogenes are located preferentially in regions of low recombination rates in the human genome

The aim of this article is to demonstrate possible recombination‐associated evolutionary forces affecting the genomic distribution of processed pseudogenes. The relationship between recombination rate and the distribution of processed pseudogenes is analysed in the human genome. The results show that processed pseudogenes preferentially accumulate in regions of low recombination rates and this correlation cannot be explained by indirect relationships with GC content and gene density. Several explanatory models for the observation are discussed. A model of selection against ectopic recombination is tested based on the difference in distribution pattern between two classes of processed pseudogenes, which differ in the possibility of stimulating ectopic recombination. Our results indicate that the correlation between processed pseudogene density and recombination rate is probably results, in part, from the selection against ectopic recombination between closely located homologous processed pseudogenes. We also found a length effect in processed pseudogene distribution, namely long processed pseudogenes are located more preferentially in regions of low recombination rates than short ones.     

Inference of homologous recombination in bacteria using whole-genome sequences

Bacteria and archaea reproduce clonally, but sporadically import DNA into their chromosomes from other organisms. In many of these events, the imported DNA replaces an homologous segment in the recipient genome. Here we present a new method to reconstruct the history of recombination events that affected a given sample of bacterial genomes. We introduce a mathematical model that represents both the donor and the recipient of each DNA import as an ancestor of the genomes in the sample. The model represents a simplification of the previously described coalescent with gene conversion. We implement a Monte Carlo Markov chain algorithm to perform inference under this model from sequence data alignments and show that inference is feasible for whole-genome alignments through parallelization. Using simulated data, we demonstrate accurate and reliable identification of individual recombination events and global recombination rate parameters. We applied our approach to an alignment of 13 whole genomes from the Bacillus cereus group. We find, as expected from laboratory experiments, that the recombination rate is higher between closely related organisms and also that the genome contains several broad regions of elevated levels of recombination. Application of the method to the genomic data sets that are becoming available should reveal the evolutionary history and private lives of populations of bacteria and archaea. The methods described in this article have been implemented in a computer software package, ClonalOrigin, which is freely available from http://code.google.com/p/clonalorigin/.     

Recombination Modulates How Selection Affects Linked Sites in Drosophila

One of the most influential observations in molecular evolution has been a strong association between local recombination rate and nucleotide polymorphisms across the genome. This is interpreted as evidence for ubiquitous natural selection. The alternative explanation, that recombination is mutagenic, has been rejected by the absence of a similar association between local recombination rate and nucleotide divergence between species. However, many recent studies show that recombination rates are often very different even in closely related species, questioning whether an association between recombination rate and divergence between species has been tested satisfactorily. To circumvent this problem, we directly surveyed recombination across approximately 43% of the D. pseudoobscura physical genome in two separate recombination maps and 31% of the D. miranda physical genome, and we identified both global and local differences in recombination rate between these two closely related species. Using only regions with conserved recombination rates between and within species and accounting for multiple covariates, our data support the conclusion that recombination is positively related to diversity because recombination modulates Hill–Robertson effects in the genome and not because recombination is predominately mutagenic. Finally, we find evidence for dips in diversity around nonsynonymous substitutions. We infer that at least some of this reduction in diversity resulted from selective sweeps and examine these dips in the context of recombination rate.