Alternative Lengthening of Telomeres in Yeast: Old Questions and New Approaches.

Alternative lengthening of telomeres (ALT) is a homologous recombination-based pathway utilized by 10-15% of cancer cells that allows cells to maintain their telomeres in the absence of telomerase. This pathway was originally discovered in the yeast and, for decades, yeast has served as a robust model to study ALT. Using yeast as a model, two types of ALT (-dependent and -independent) have been described.

Meiotic, genomic and evolutionary properties of crossover distribution in Drosophila yakuba.

The number and location of crossovers across genomes are highly regulated during meiosis, yet the key components controlling them are fast evolving, hindering our understanding of the mechanistic causes and evolutionary consequences of changes in crossover rates. Drosophila melanogaster has been a model species to study meiosis for more than a century, with an available high-resolution crossover map that is, nonetheless, missing for closely related species, thus preventing evolutionary context. Here, we applied a novel and highly efficient approach to generate whole-genome high-resolution crossover maps in D.

A unified alternative telomere-lengthening pathway in yeast survivor cells.

Alternative lengthening of telomeres (ALT) is a recombination process that maintains telomeres in the absence of telomerase and helps cancer cells to survive. Yeast has been used as a robust model of ALT; however, the inability to determine the frequency and structure of ALT survivors hinders understanding of the ALT mechanism. Here, using population and molecular genetics approaches, we overcome these problems and demonstrate that contrary to the current view, both RAD51-dependent and RAD51-independent mechanisms are required for a unified ALT survivor pathway.

Support for the Dominance Theory in Transcriptomes.

Interactions among divergent elements of transcriptional networks from different species can lead to misexpression in hybrids through regulatory incompatibilities, some with the potential to generate sterility. While the possible contribution of faster-male evolution to this misexpression has been explored, the role of the hemizygous chromosome (, the dominance theory for transcriptomes) remains yet to be determined. Here, we study genome-wide patterns of gene expression in females and males of , and their hybrids.

Background selection as null hypothesis in population genomics: insights and challenges from studies.

The consequences of selection at linked sites are multiple and widespread across the genomes of most species. Here, I first review the main concepts behind models of selection and linkage in recombining genomes, present the difficulty in parametrizing these models simply as a reduction in effective population size () and discuss the predicted impact of recombination rates on levels of diversity across genomes. Arguments are then put forward in favour of using a model of selection and linkage with neutral and deleterious mutations (i.

A Mismatch EndoNuclease Array-Based Methodology (MENA) for Identifying Known SNPs or Novel Point Mutations.

Accurate and rapid identification or confirmation of single nucleotide polymorphisms (SNPs), point mutations and other human genomic variation facilitates understanding the genetic basis of disease. We have developed a new methodology (called MENA (Mismatch EndoNuclease Array)) pairing DNA mismatch endonuclease enzymology with tiling microarray hybridization in order to genotype both known point mutations (such as SNPs) as well as identify previously undiscovered point mutations and small indels. We show that our assay can rapidly genotype known SNPs in a human genomic DNA sample with 99% accuracy, in addition to identifying novel point mutations and small indels with a false discovery rate as low as 10%.

Predictive Models of Recombination Rate Variation across the Drosophila melanogaster Genome.

In all eukaryotic species examined, meiotic recombination, and crossovers in particular, occur non-randomly along chromosomes. The cause for this non-random distribution remains poorly understood but some specific DNA sequence motifs have been shown to be enriched near crossover hotspots in a number of species. We present analyses using machine learning algorithms to investigate whether DNA motif distribution across the genome can be used to predict crossover variation in Drosophila melanogaster, a species without hotspots.

Background selection as baseline for nucleotide variation across the Drosophila genome.

The constant removal of deleterious mutations by natural selection causes a reduction in neutral diversity and efficacy of selection at genetically linked sites (a process called Background Selection, BGS). Population genetic studies, however, often ignore BGS effects when investigating demographic events or the presence of other types of selection. To obtain a more realistic evolutionary expectation that incorporates the unavoidable consequences of deleterious mutations, we generated high-resolution landscapes of variation across the Drosophila melanogaster genome under a BGS scenario independent of polymorphism data.

The Drosophila early ovarian transcriptome provides insight to the molecular causes of recombination rate variation across genomes.

Background: Evidence in yeast indicates that gene expression is correlated with recombination activity and double-strand break (DSB) formation in some hotspots. Studies of nucleosome occupancy in yeast and mice also suggest that open chromatin influences the formation of DSBs. In Drosophila melanogaster, high-resolution recombination maps show an excess of DSBs within annotated transcripts relative to intergenic sequences.

The many landscapes of recombination in Drosophila melanogaster.

Recombination is a fundamental biological process with profound evolutionary implications. Theory predicts that recombination increases the effectiveness of selection in natural populations. Yet, direct tests of this prediction have been restricted to qualitative trends due to the lack of detailed characterization of recombination rate variation across genomes and within species.

Microarray-based capture of novel expressed cell type-specific transfrags (CoNECT) to annotate tissue-specific transcription in Drosophila melanogaster.

Faithful annotation of tissue-specific transcript isoforms is important not only to understand how genes are organized and regulated but also to identify potential novel, unannotated exons of genes, which may be additional targets of mutation in disease states or while performing mutagenic screens. We have developed a microarray enrichment methodology followed by long-read, next-generation sequencing for identification of unannotated transcript isoforms expressed in two Drosophila tissues, the ovary and the testis. Even with limited sequencing, these studies have identified a large number of novel transcription units, including 5' exons and extensions, 3' exons and extensions, internal exons and exon extensions, gene fusions, and both germline-specific splicing events and promoters.

Evolutionary toxicogenomics: diversification of the Cyp12d1 and Cyp12d3 genes in Drosophila species.

Gene duplication and divergence are overwhelmingly considered to be the primary mechanisms by which cytochrome P450 monooxygenases (P450s) have radiated into a large and diverse gene superfamily. To address how environmental stress drives the fixation and diversification of gene duplications, we have analyzed Cyp12d1 and Cyp12d3, a pair of duplicated genes found in the sequenced Drosophila genomes of the melanogaster group. The paralog Cyp12d3, which is not found in Drosophila melanogaster, is basal to the melanogaster group, after it split from the obscura group (ca.

Local effects of limited recombination: historical perspective and consequences for population estimates of adaptive evolution.

Recent years have witnessed the integration of theoretical advances in population genetics with large-scale analyses of complete genomes, with a growing number of studies suggesting pervasive natural selection that includes frequent deleterious as well as adaptive mutations. In finite populations, however, mutations under selection alter the fate of genetically linked mutations (the so-called Hill-Robertson effect). Here we review the evolutionary consequences of selection at linked sites (linked selection) focusing on its effects on nearby nucleotides in genomic regions with nonreduced recombination.

Unexpected dynamic gene family evolution in algal actins.

Actin is a conserved cytoskeletal protein that is well studied in model organisms although much less is known about actin molecular evolution in taxonomically diverse algae. Here, we analyzed 107 novel partial algal actin sequences and report some unexpected results. First, monophyletic actin gene families in multiple, phylogenetically distantly related algal taxa contain two distinct clades of sequences.

Why are sex and recombination so common?

The abundance of sex and recombination is still one of the most puzzling questions in the theory of evolution: Most models find that recombination can evolve, but only under a limited range of parameters. Here we review the major models and supporting evidence, concentrating on recent approaches where more realistic assumptions help explain the evolution of sex and recombination under a wider parameter range: finite populations, selection over long genomes, variation in recombination across the genome, and plasticity of sex and recombination. We discuss the similarities and differences between the evolution of sex and that of recombination.

Recurrent events of positive selection in independent Drosophila lineages at the spermatogenesis gene roughex.

Our understanding of the role of positive selection in the evolution of genes with male-biased expression can be hindered by two observations. First, male-biased genes tend to be overrepresented among lineage-specific genes. Second, novel genes are prone to experience bursts of adaptive evolution shortly after their formation.

EST analysis of Ostreococcus lucimarinus, the most compact eukaryotic genome, shows an excess of introns in highly expressed genes.

Background: The genome of the pico-eukaryotic (bacterial-sized) prasinophyte green alga Ostreococcus lucimarinus has one of the highest gene densities known in eukaryotes, yet it contains many introns. Phylogenetic studies suggest this unusually compact genome (13.2 Mb) is an evolutionarily derived state among prasinophytes.

A new test for selection applied to codon usage in Drosophila simulans and D. mauritiana.

In many organisms, synonymous codon usage is biased by a history of natural selection. However, codon bias, itself, does not indicate that selection is ongoing; it may be a vestige of past selection. Simple statistical tests have been devised to infer ongoing selection on codon usage by comparing the derived state frequency spectra at polymorphic sites segregating either derived preferred codons or derived unpreferred codons; if selection is effective, the frequency of derived states should be higher in the former.

Evolution of genes and genomes on the Drosophila phylogeny.

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution.

The Hill-Robertson effect: evolutionary consequences of weak selection and linkage in finite populations.

The 'Hill-Robertson (HR) effect' describes that linkage between sites under selection will reduce the overall effectiveness of selection in finite populations. Here we discuss the major concepts associated with the HR effect and present results of computer simulations focusing on the linkage effects generated by multiple sites under weak selection. Most models of linkage and selection forecast differences in effectiveness of selection between chromosomes or chromosomal regions involving a number of genes.

Establishment of endolithic populations of extremophilic Cyanidiales (Rhodophyta).

Background: Cyanidiales are unicellular extremophilic red algae that inhabit acidic and high temperature sites around hot springs and have also adapted to life in endolithic and interlithic habitats. Comparative genomic analysis of Cyanidioschyzon merolae and Galdieria sulphuraria predicts that the latter may be more broadly distributed in extreme environments because its genome contains membrane transporters involved in the uptake of reduced carbon compounds that are absent from C. merolae.

First exons and introns--a survey of GC content and gene structure in the human genome.

Most transcriptional regulatory elements are located in non-coding DNA. In particular, some first introns play a vital role in transcriptional control and splicing. The length and GC-content of first exons and introns in complex organisms suggests that these structural units are likely to be important functional elements in large genomes.

Weak selection and recent mutational changes influence polymorphic synonymous mutations in humans.

Recent large-scale genomic and evolutionary studies have revealed the small but detectable signature of weak selection on synonymous mutations during mammalian evolution, likely acting at the level of translational efficacy (i.e., translational selection).

Intragenic Hill-Robertson interference influences selection intensity on synonymous mutations in Drosophila.

Natural selection influences synonymous mutations and synonymous codon usage in many eukaryotes to improve the efficiency of translation in highly expressed genes. Recent studies of gene composition in eukaryotes have shown that codon usage also varies independently of expression levels, both among genes and at the intragenic level. Here, we investigate rates of evolution (Ks) and intensity of selection (gamma(s)) on synonymous mutations in two groups of genes that differ greatly in the length of their exons, but with equivalent levels of gene expression and rates of crossing-over in Drosophila melanogaster.

Intragenic spatial patterns of codon usage bias in prokaryotic and eukaryotic genomes.

To study the roles of translational accuracy, translational efficiency, and the Hill-Robertson effect in codon usage bias, we studied the intragenic spatial distribution of synonymous codon usage bias in four prokaryotic (Escherichia coli, Bacillus subtilis, Sulfolobus tokodaii, and Thermotoga maritima) and two eukaryotic (Saccharomyces cerevisiae and Drosophila melanogaster) genomes. We generated supersequences at each codon position across genes in a genome and computed the overall bias at each codon position. By quantitatively evaluating the trend of spatial patterns using isotonic regression, we show that in yeast and prokaryotic genomes, codon usage bias increases along translational direction, which is consistent with purifying selection against nonsense errors.