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de Moura A, Karschau J. Mathematical model for the distribution of DNA replication origins. Phys Rev E 2024; 110:034408. [PMID: 39425392 DOI: 10.1103/physreve.110.034408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/03/2024] [Indexed: 10/21/2024]
Abstract
DNA replication in yeast and in many other organisms starts from well-defined locations on the DNA known as replication origins. The spatial distribution of these origins in the genome is particularly important in ensuring that replication is completed quickly. Cells are more vulnerable to DNA damage and other forms of stress while they are replicating their genome. This raises the possibility that the spatial distribution of origins is under selection pressure. In this paper we investigate the hypothesis that natural selection favors origin distributions leading to shorter replication times. Using a simple mathematical model, we show that this hypothesis leads to two main predictions about the origin distributions: that neighboring origins that are inefficient (less likely to fire) are more likely to be close to each other than efficient origins; and that neighboring origins with larger differences in firing times are more likely to be close to each other than origins with similar firing times. We test these predictions using next-generation sequencing data, and show that they are both supported by the data.
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2
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Maria H, Kapoor S, Liu T, Rusche LN. Conservation of a DNA Replication Motif among Phylogenetically Distant Budding Yeast Species. Genome Biol Evol 2021; 13:6300524. [PMID: 34132803 PMCID: PMC8290112 DOI: 10.1093/gbe/evab137] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2021] [Indexed: 01/23/2023] Open
Abstract
Eukaryotic DNA replication begins at genomic loci termed origins, which are bound by the origin recognition complex (ORC). Although ORC is conserved across species, the sequence composition of origins is more varied. In the budding yeast Saccharomyces cerevisiae, the ORC-binding motif consists of an A/T-rich 17 bp “extended ACS” sequence adjacent to a B1 element composed of two 3-bp motifs. Similar sequences occur at origins in closely related species, but it is not clear when this type of replication origin arose and whether it predated a whole-genome duplication that occurred around 100 Ma in the budding yeast lineage. To address these questions, we identified the ORC-binding sequences in the nonduplicated species Torulaspora delbrueckii. We used chromatin immunoprecipitation followed by sequencing and identified 190 ORC-binding sites distributed across the eight T. delbrueckii chromosomes. Using these sites, we identified an ORC-binding motif that is nearly identical to the known motif in S. cerevisiae. We also found that the T. delbrueckii ORC-binding sites function as origins in T. delbrueckii when cloned onto a plasmid and that the motif is required for plasmid replication. Finally, we compared an S. cerevisiae origin with two T. delbrueckii ORC-binding sites and found that they conferred similar stabilities to a plasmid. These results reveal that the ORC-binding motif arose prior to the whole-genome duplication and has been maintained for over 100 Myr.
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Affiliation(s)
- Haniam Maria
- Department of Biological Sciences, State University of New York at Buffalo, New York, USA
| | - Shivali Kapoor
- Department of Biological Sciences, State University of New York at Buffalo, New York, USA
| | - Tao Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Laura N Rusche
- Department of Biological Sciences, State University of New York at Buffalo, New York, USA
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Droghetti R, Agier N, Fischer G, Gherardi M, Cosentino Lagomarsino M. An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles. eLife 2021; 10:63542. [PMID: 34013887 PMCID: PMC8213407 DOI: 10.7554/elife.63542] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 05/20/2021] [Indexed: 12/13/2022] Open
Abstract
Recent results comparing the temporal program of genome replication of yeast species belonging to the Lachancea clade support the scenario that the evolution of the replication timing program could be mainly driven by correlated acquisition and loss events of active replication origins. Using these results as a benchmark, we develop an evolutionary model defined as birth-death process for replication origins and use it to identify the evolutionary biases that shape the replication timing profiles. Comparing different evolutionary models with data, we find that replication origin birth and death events are mainly driven by two evolutionary pressures, the first imposes that events leading to higher double-stall probability of replication forks are penalized, while the second makes less efficient origins more prone to evolutionary loss. This analysis provides an empirically grounded predictive framework for quantitative evolutionary studies of the replication timing program.
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Affiliation(s)
- Rossana Droghetti
- Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, Milan, Italy
| | - Nicolas Agier
- Sorbonne Universitè, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Gilles Fischer
- Sorbonne Universitè, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, Paris, France
| | - Marco Gherardi
- Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, Milan, Italy and INFN sezione di Milano, Milan, Italy
| | - Marco Cosentino Lagomarsino
- Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, Milan, Italy and INFN sezione di Milano, Milan, Italy.,IFOM Foundation, FIRC Institute for Molecular Oncology, via Adamello 16, Milan, Italy
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4
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DNA copy-number measurement of genome replication dynamics by high-throughput sequencing: the sort-seq, sync-seq and MFA-seq family. Nat Protoc 2020; 15:1255-1284. [PMID: 32051615 DOI: 10.1038/s41596-019-0287-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 12/16/2019] [Indexed: 12/20/2022]
Abstract
Genome replication follows a defined temporal programme that can change during cellular differentiation and disease onset. DNA replication results in an increase in DNA copy number that can be measured by high-throughput sequencing. Here we present a protocol to determine genome replication dynamics using DNA copy-number measurements. Cell populations can be obtained in three variants of the method. First, sort-seq reveals the average replication dynamics across S phase in an unperturbed cell population; FACS is used to isolate replicating and non-replicating subpopulations from asynchronous cells. Second, sync-seq measures absolute replication time at specific points during S phase using a synchronized cell population. Third, marker frequency analysis can be used to reveal the average replication dynamics using copy-number analysis in any proliferating asynchronous cell culture. These approaches have been used to reveal genome replication dynamics in prokaryotes, archaea and a wide range of eukaryotes, including yeasts and mammalian cells. We have found this approach straightforward to apply to other organisms and highlight example studies from across the three domains of life. Here we present a Saccharomyces cerevisiae version of the protocol that can be performed in 7-10 d. It requires basic molecular and cellular biology skills, as well as a basic understanding of Unix and R.
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The evolution of the temporal program of genome replication. Nat Commun 2018; 9:2199. [PMID: 29875360 PMCID: PMC5989221 DOI: 10.1038/s41467-018-04628-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 05/08/2018] [Indexed: 01/19/2023] Open
Abstract
Genome replication is highly regulated in time and space, but the rules governing the remodeling of these programs during evolution remain largely unknown. We generated genome-wide replication timing profiles for ten Lachancea yeasts, covering a continuous evolutionary range from closely related to more divergent species. We show that replication programs primarily evolve through a highly dynamic evolutionary renewal of the cohort of active replication origins. We found that gained origins appear with low activity yet become more efficient and fire earlier as they evolutionarily age. By contrast, origins that are lost comprise the complete range of firing strength. Additionally, they preferentially occur in close vicinity to strong origins. Interestingly, despite high evolutionary turnover, active replication origins remain regularly spaced along chromosomes in all species, suggesting that origin distribution is optimized to limit large inter-origin intervals. We propose a model on the evolutionary birth, death, and conservation of active replication origins. Temporal programs of genome replication show different levels of conservation between closely or distantly related species. Here, the authors generate genome-wide replication timing profiles for ten yeast species, and analyze their evolutionary dynamics.
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Deciphering the Origin, Evolution, and Physiological Function of the Subtelomeric Aryl-Alcohol Dehydrogenase Gene Family in the Yeast Saccharomyces cerevisiae. Appl Environ Microbiol 2017; 84:AEM.01553-17. [PMID: 29079624 PMCID: PMC5734042 DOI: 10.1128/aem.01553-17] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Accepted: 10/23/2017] [Indexed: 12/02/2022] Open
Abstract
Homology searches indicate that Saccharomyces cerevisiae strain BY4741 contains seven redundant genes that encode putative aryl-alcohol dehydrogenases (AAD). Yeast AAD genes are located in subtelomeric regions of different chromosomes, and their functional role(s) remain enigmatic. Here, we show that two of these genes, AAD4 and AAD14, encode functional enzymes that reduce aliphatic and aryl-aldehydes concomitant with the oxidation of cofactor NADPH, and that Aad4p and Aad14p exhibit different substrate preference patterns. Other yeast AAD genes are undergoing pseudogenization. The 5′ sequence of AAD15 has been deleted from the genome. Repair of an AAD3 missense mutation at the catalytically essential Tyr73 residue did not result in a functional enzyme. However, ancestral-state reconstruction by fusing Aad6 with Aad16 and by N-terminal repair of Aad10 restores NADPH-dependent aryl-alcohol dehydrogenase activities. Phylogenetic analysis indicates that AAD genes are narrowly distributed in wood-saprophyte fungi and in yeast that occupy lignocellulosic niches. Because yeast AAD genes exhibit activity on veratraldehyde, cinnamaldehyde, and vanillin, they could serve to detoxify aryl-aldehydes released during lignin degradation. However, none of these compounds induce yeast AAD gene expression, and Aad activities do not relieve aryl-aldehyde growth inhibition. Our data suggest an ancestral role for AAD genes in lignin degradation that is degenerating as a result of yeast's domestication and use in brewing, baking, and other industrial applications. IMPORTANCE Functional characterization of hypothetical genes remains one of the chief tasks of the postgenomic era. Although the first Saccharomyces cerevisiae genome sequence was published over 20 years ago, 22% of its estimated 6,603 open reading frames (ORFs) remain unverified. One outstanding example of this category of genes is the enigmatic seven-member AAD family. Here, we demonstrate that proteins encoded by two members of this family exhibit aliphatic and aryl-aldehyde reductase activity, and further that such activity can be recovered from pseudogenized AAD genes via ancestral-state reconstruction. The phylogeny of yeast AAD genes suggests that these proteins may have played an important ancestral role in detoxifying aromatic aldehydes in ligninolytic fungi. However, in yeast adapted to niches rich in sugars, AAD genes become subject to mutational erosion. Our findings shed new light on the selective pressures and molecular mechanisms by which genes undergo pseudogenization.
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Müller CA, Nieduszynski CA. DNA replication timing influences gene expression level. J Cell Biol 2017; 216:1907-1914. [PMID: 28539386 PMCID: PMC5496624 DOI: 10.1083/jcb.201701061] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 04/06/2017] [Accepted: 04/19/2017] [Indexed: 12/31/2022] Open
Abstract
Eukaryotic genomes are replicated in a reproducible temporal order whose physiological significance is poorly understood. Müller and Nieduszynski compare the temporal order of genome replication in phylogenetically diverse yeast species and identify genes for which conserved replication timing contributes to maximal expression. Eukaryotic genomes are replicated in a reproducible temporal order; however, the physiological significance is poorly understood. We compared replication timing in divergent yeast species and identified genomic features with conserved replication times. Histone genes were among the earliest replicating loci in all species. We specifically delayed the replication of HTA1-HTB1 and discovered that this halved the expression of these histone genes. Finally, we showed that histone and cell cycle genes in general are exempt from Rtt109-dependent dosage compensation, suggesting the existence of pathways excluding specific loci from dosage compensation mechanisms. Thus, we have uncovered one of the first physiological requirements for regulated replication time and demonstrated a direct link between replication timing and gene expression.
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Affiliation(s)
- Carolin A Müller
- Sir William Dunn School of Pathology, University of Oxford, Oxford, England, UK
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Differential paralog divergence modulates genome evolution across yeast species. PLoS Genet 2017; 13:e1006585. [PMID: 28196070 PMCID: PMC5308817 DOI: 10.1371/journal.pgen.1006585] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 01/13/2017] [Indexed: 11/24/2022] Open
Abstract
Evolutionary outcomes depend not only on the selective forces acting upon a species, but also on the genetic background. However, large timescales and uncertain historical selection pressures can make it difficult to discern such important background differences between species. Experimental evolution is one tool to compare evolutionary potential of known genotypes in a controlled environment. Here we utilized a highly reproducible evolutionary adaptation in Saccharomyces cerevisiae to investigate whether experimental evolution of other yeast species would select for similar adaptive mutations. We evolved populations of S. cerevisiae, S. paradoxus, S. mikatae, S. uvarum, and interspecific hybrids between S. uvarum and S. cerevisiae for ~200–500 generations in sulfate-limited continuous culture. Wild-type S. cerevisiae cultures invariably amplify the high affinity sulfate transporter gene, SUL1. However, while amplification of the SUL1 locus was detected in S. paradoxus and S. mikatae populations, S. uvarum cultures instead selected for amplification of the paralog, SUL2. We measured the relative fitness of strains bearing deletions and amplifications of both SUL genes from different species, confirming that, converse to S. cerevisiae, S. uvarum SUL2 contributes more to fitness in sulfate limitation than S. uvarum SUL1. By measuring the fitness and gene expression of chimeric promoter-ORF constructs, we were able to delineate the cause of this differential fitness effect primarily to the promoter of S. uvarum SUL1. Our data show evidence of differential sub-functionalization among the sulfate transporters across Saccharomyces species through recent changes in noncoding sequence. Furthermore, these results show a clear example of how such background differences due to paralog divergence can drive changes in genome evolution. Both comparative genomics and experimental evolution are powerful tools that can be used to make inferences about evolutionary processes. Together, these approaches provide the opportunity to observe evolutionary adaptation over millions of years where selective history is largely unknown, and over short timescales under controlled selective pressures in the laboratory. We have used comparative experimental evolution to observe the evolutionary fate of an adaptive mutation, and determined to what degree the outcome is conditional on the genetic background. We evolved several populations of different yeast species for over 200 generations in sulfate-limited conditions to determine how the differences in genomic context can alter evolutionary routes when challenged with a nutrient limitation selection pressure. We find that the gene encoding a high affinity sulfur transporter becomes amplified in most species of Saccharomyces, except in S. uvarum, in which the amplification of the paralogous sulfate transporter gene SUL2 is recovered. We attribute this change in amplification preference to mutations in the non-coding region of SUL1, likely due to reduced expression of this gene in S. uvarum. We conclude that the adaptive mutations selected for in each organism depend on the genomic context, even when faced with the same environmental condition.
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A Versatile Procedure to Generate Genome-Wide Spatiotemporal Program of Replication in Yeast Species. Methods Mol Biol 2016; 1361:247-64. [PMID: 26483026 DOI: 10.1007/978-1-4939-3079-1_14] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Here, we describe a complete protocol, comprising both the experimental and the analytical procedures, that allows to generate genome-wide spatiotemporal program of replication and to find the location of chromosomally active replication origins in yeast. The first step consists on synchronizing a cell population by physical discrimination of G1 cells according to their sedimentation coefficient. G1 cells are then synchronously released into S-phase and time-point samples are regularly taken until they reach the G2 phase. Progression through the cell cycle is monitored by measuring DNA content variation by flow cytometry. DNA samples, covering the entire S-phase, are then extracted and analyzed using deep sequencing. The gradual change of DNA copy number is measured to determine the mean replication time along the genome. A simple method of peak calling allows to infer from the replication profile the location of replication origins along the chromosomes. Our protocol is versatile enough to be applied to virtually any yeast species of interest and generate its replication profile.
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10
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Dileep V, Rivera-Mulia JC, Sima J, Gilbert DM. Large-Scale Chromatin Structure-Function Relationships during the Cell Cycle and Development: Insights from Replication Timing. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2015; 80:53-63. [PMID: 26590169 DOI: 10.1101/sqb.2015.80.027284] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Chromosome architecture has received a lot of attention since the recent development of genome-scale methods to measure chromatin interactions (Hi-C), enabling the first sequence-based models of chromosome tertiary structure. A view has emerged of chromosomes as a string of structural units (topologically associating domains; TADs) whose boundaries persist through the cell cycle and development. TADs with similar chromatin states tend to aggregate, forming spatially segregated chromatin compartments. However, high-resolution Hi-C has revealed substructure within TADs (subTADs) that poses a challenge for models that attribute significance to structural units at any given scale. More than 20 years ago, the DNA replication field independently identified stable structural (and functional) units of chromosomes (replication foci) as well as spatially segregated chromatin compartments (early and late foci), but lacked the means to link these units to genomic map units. Genome-wide studies of replication timing (RT) have now merged these two disciplines by identifying individual units of replication regulation (replication domains; RDs) that correspond to TADs and are arranged in 3D to form spatiotemporally segregated subnuclear compartments. Furthermore, classifying RDs/TADs by their constitutive versus developmentally regulated RT has revealed distinct classes of chromatin organization, providing unexpected insight into the relationship between large-scale chromosome structure and function.
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Affiliation(s)
- Vishnu Dileep
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | | | - Jiao Sima
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295 Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, Florida 32306-4295
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Marques CA, Dickens NJ, Paape D, Campbell SJ, McCulloch R. Genome-wide mapping reveals single-origin chromosome replication in Leishmania, a eukaryotic microbe. Genome Biol 2015; 16:230. [PMID: 26481451 PMCID: PMC4612428 DOI: 10.1186/s13059-015-0788-9] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 09/21/2015] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND DNA replication initiates on defined genome sites, termed origins. Origin usage appears to follow common rules in the eukaryotic organisms examined to date: all chromosomes are replicated from multiple origins, which display variations in firing efficiency and are selected from a larger pool of potential origins. To ask if these features of DNA replication are true of all eukaryotes, we describe genome-wide origin mapping in the parasite Leishmania. RESULTS Origin mapping in Leishmania suggests a striking divergence in origin usage relative to characterized eukaryotes, since each chromosome appears to be replicated from a single origin. By comparing two species of Leishmania, we find evidence that such origin singularity is maintained in the face of chromosome fusion or fission events during evolution. Mapping Leishmania origins suggests that all origins fire with equal efficiency, and that the genomic sites occupied by origins differ from related non-origins sites. Finally, we provide evidence that origin location in Leishmania displays striking conservation with Trypanosoma brucei, despite the latter parasite replicating its chromosomes from multiple, variable strength origins. CONCLUSIONS The demonstration of chromosome replication for a single origin in Leishmania, a microbial eukaryote, has implications for the evolution of origin multiplicity and associated controls, and may explain the pervasive aneuploidy that characterizes Leishmania chromosome architecture.
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Affiliation(s)
- Catarina A Marques
- The Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Sir Graeme Davis Building, 120 University Place, Glasgow, G12 8TA, UK
| | - Nicholas J Dickens
- The Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Sir Graeme Davis Building, 120 University Place, Glasgow, G12 8TA, UK
| | - Daniel Paape
- The Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Sir Graeme Davis Building, 120 University Place, Glasgow, G12 8TA, UK
| | - Samantha J Campbell
- The Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Sir Graeme Davis Building, 120 University Place, Glasgow, G12 8TA, UK
| | - Richard McCulloch
- The Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, University of Glasgow, Sir Graeme Davis Building, 120 University Place, Glasgow, G12 8TA, UK.
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Descorps-Declère S, Saguez C, Cournac A, Marbouty M, Rolland T, Ma L, Bouchier C, Moszer I, Dujon B, Koszul R, Richard GF. Genome-wide replication landscape of Candida glabrata. BMC Biol 2015; 13:69. [PMID: 26329162 PMCID: PMC4556013 DOI: 10.1186/s12915-015-0177-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 08/05/2015] [Indexed: 11/25/2022] Open
Abstract
Background The opportunistic pathogen Candida glabrata is a member of the Saccharomycetaceae yeasts. Like its close relative Saccharomyces cerevisiae, it underwent a whole-genome duplication followed by an extensive loss of genes. Its genome contains a large number of very long tandem repeats, called megasatellites. In order to determine the whole replication program of the C. glabrata genome and its general chromosomal organization, we used deep-sequencing and chromosome conformation capture experiments. Results We identified 253 replication fork origins, genome wide. Centromeres, HML and HMR loci, and most histone genes are replicated early, whereas natural chromosomal breakpoints are located in late-replicating regions. In addition, 275 autonomously replicating sequences (ARS) were identified during ARS-capture experiments, and their relative fitness was determined during growth competition. Analysis of ARSs allowed us to identify a 17-bp consensus, similar to the S. cerevisiae ARS consensus sequence but slightly more constrained. Megasatellites are not in close proximity to replication origins or termini. Using chromosome conformation capture, we also show that early origins tend to cluster whereas non-subtelomeric megasatellites do not cluster in the yeast nucleus. Conclusions Despite a shorter cell cycle, the C. glabrata replication program shares unexpected striking similarities to S. cerevisiae, in spite of their large evolutionary distance and the presence of highly repetitive large tandem repeats in C. glabrata. No correlation could be found between the replication program and megasatellites, suggesting that their formation and propagation might not be directly caused by replication fork initiation or termination. Electronic supplementary material The online version of this article (doi:10.1186/s12915-015-0177-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Stéphane Descorps-Declère
- Institut Pasteur, Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), F-75015, Paris, France.
| | - Cyril Saguez
- Institut Pasteur, Unité de Génétique Moléculaire des Levures, Département Génomes & Génétique, F-75015, Paris, France. .,CNRS, UMR3525, F-75015, Paris, France. .,Sorbonne Universités, UPMC Univ Paris 06, 4 Place Jussieu, 75252, Paris, Cedex 05, France.
| | - Axel Cournac
- CNRS, UMR3525, F-75015, Paris, France. .,Institut Pasteur, Groupe Régulation Spatiale des Génomes, Département Génomes & Génétique, F-75015, Paris, France.
| | - Martial Marbouty
- CNRS, UMR3525, F-75015, Paris, France. .,Institut Pasteur, Groupe Régulation Spatiale des Génomes, Département Génomes & Génétique, F-75015, Paris, France.
| | - Thomas Rolland
- Present address: Institut Pasteur, Unité de Génétique Humaine et Fonctions Cognitives, Département des Neurosciences, F-75015, Paris, France.
| | - Laurence Ma
- Institut Pasteur, Plate-forme Génomique, Département Génomes & Génétique, F-75015, Paris, France.
| | - Christiane Bouchier
- Institut Pasteur, Plate-forme Génomique, Département Génomes & Génétique, F-75015, Paris, France.
| | - Ivan Moszer
- Present address: Plate-forme Bio-informatique/Biostatistique, Institut de Neurosciences Translationnelles IHU-A-ICM, Hôpital Pitié-Salpêtrière, 47-83 bd de l'Hôpital, 75561, Paris, Cedex 13, France.
| | - Bernard Dujon
- Institut Pasteur, Unité de Génétique Moléculaire des Levures, Département Génomes & Génétique, F-75015, Paris, France. .,CNRS, UMR3525, F-75015, Paris, France. .,Sorbonne Universités, UPMC Univ Paris 06, 4 Place Jussieu, 75252, Paris, Cedex 05, France.
| | - Romain Koszul
- CNRS, UMR3525, F-75015, Paris, France. .,Institut Pasteur, Groupe Régulation Spatiale des Génomes, Département Génomes & Génétique, F-75015, Paris, France.
| | - Guy-Franck Richard
- Institut Pasteur, Unité de Génétique Moléculaire des Levures, Département Génomes & Génétique, F-75015, Paris, France. .,CNRS, UMR3525, F-75015, Paris, France. .,Sorbonne Universités, UPMC Univ Paris 06, 4 Place Jussieu, 75252, Paris, Cedex 05, France.
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Peng J, Raghuraman MK, Feng W. Analysis of ssDNA gaps and DSBs in genetically unstable yeast cultures. Methods Mol Biol 2015; 1170:501-15. [PMID: 24906332 DOI: 10.1007/978-1-4939-0888-2_27] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
DNA replication defects are an underlying cause of genome instability, which could stem from alterations in replication intermediates such as extensive single-stranded DNA (ssDNA). Under replication stress, ssDNA is a precursor of the ultimate double-strand breaks (DSBs). Indeed, mutations that render the cell incapable of mediating and protecting the replication forks produce ssDNA genome-wide at high frequency and cause lethality when encountering DNA damage or replication perturbation. Here we describe two related microarray-based methods to query genetically unstable yeast cultures, such as the mec1 and rad53 mutants. These mutants are defective in central protein kinases in the checkpoint pathway. To induce ssDNA and DSB formation in these mutants, we utilize hydroxyurea, a drug that causes nucleotide shortage in the cell.
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Affiliation(s)
- Jie Peng
- Department of Biochemistry & Molecular Biology, SUNY Upstate Medical University, 4287 Weiskotten Hall, 750 East Adams Street, Syracuse, NY, 13210, USA
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Rizvi AZ, Bhattacharya C. Detection of Replication Origin Sites in Herpesvirus Genomes by Clustering and Scoring of Palindromes with Quadratic Entropy Measures. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2014; 11:1108-1118. [PMID: 26357048 DOI: 10.1109/tcbb.2014.2330622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Replication in herpesvirus genomes is a major concern of public health as they multiply rapidly during the lytic phase of infection that cause maximum damage to the host cells. Earlier research has established that sites of replication origin are dominated by high concentration of rare palindrome sequences of DNA. Computational methods are devised based on scoring to determine the concentration of palindromes. In this paper, we propose both extraction and localization of rare palindromes in an automated manner. Discrete Cosine Transform (DCT-II), a widely recognized image compression algorithm is utilized here to extract palindromic sequences based on their reverse complimentary symmetry property of existence. We formulate a novel approach to localize the rare palindrome clusters by devising a Minimum Quadratic Entropy (MQE) measure based on the Renyi's Quadratic Entropy (RQE) function. Experimental results over a large number of herpesvirus genomes show that the RQE based scoring of rare palindromes have higher order of sensitivity, and lesser false alarm in detecting concentration of rare palindromes and thereby sites of replication origin.
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15
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Wu Z, Yang H, Liu J, Wang L, Xiang H. Association between the dynamics of multiple replication origins and the evolution of multireplicon genome architecture in haloarchaea. Genome Biol Evol 2014; 6:2799-810. [PMID: 25281843 PMCID: PMC4441112 DOI: 10.1093/gbe/evu219] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Haloarchaeal genomes are generally composed of multiple replicons, and each replicon has a single or multiple replication origin(s). The comparative genomic analysis of replication origins from closely related species can be used to reveal the evolutionary mechanisms that account for the development of multiple origin systems. Multiple replication origins have been in silico and experimentally investigated in Haloarcula hispanica, which raise the possibility for comparisons of multiple replication origins in Haloarcula species. Thus, we performed a comparison of H. hispanica replication origins with those from five additional Haloarcula species. We demonstrated that the multiple replication origins in the chromosome were evolved independently multiple times from the oriC1-dependent ancestral chromosome. Particularly, the two origins oriC1 and oriC2 were conserved in location, and both of them were adjacent to an rRNA operon, suggestive of correlations in replication and expression of surrounding genes that may promote the conservation of these two origins. Some chromosomal variable regions were used as hotspots for origin evolution in which replication origins were continually being acquired, lost, and disrupted. Furthermore, we demonstrated that autonomously replicating sequence plasmids with H. hispanica minichromosomal replication origins were extremely unstable. Because both organization and replication origins of minichromosomes were not conserved, we proposed an association between the evolution of extrachromosomal replicons and origin variation. Taken together, we provided insights into the evolutionary history of multiple replication origins in Haloarcula species, and proposed a general model of association between the dynamics of multiple replication origins and the evolution of multireplicon genome architecture in haloarchaea.
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Affiliation(s)
- Zhenfang Wu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Sciences, Beijing, China
| | - Haibo Yang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Sciences, Beijing, China
| | - Jingfang Liu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Lei Wang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Hua Xiang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
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16
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Origin replication complex binding, nucleosome depletion patterns, and a primary sequence motif can predict origins of replication in a genome with epigenetic centromeres. mBio 2014; 5:e01703-14. [PMID: 25182328 PMCID: PMC4173791 DOI: 10.1128/mbio.01703-14] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Origins of DNA replication are key genetic elements, yet their identification remains elusive in most organisms. In previous work, we found that centromeres contain origins of replication (ORIs) that are determined epigenetically in the pathogenic yeast Candida albicans. In this study, we used origin recognition complex (ORC) binding and nucleosome occupancy patterns in Saccharomyces cerevisiae and Kluyveromyces lactis to train a machine learning algorithm to predict the position of active arm (noncentromeric) origins in the C. albicans genome. The model identified bona fide active origins as determined by the presence of replication intermediates on nondenaturing two-dimensional (2D) gels. Importantly, these origins function at their native chromosomal loci and also as autonomously replicating sequences (ARSs) on a linear plasmid. A “mini-ARS screen” identified at least one and often two ARS regions of ≥100 bp within each bona fide origin. Furthermore, a 15-bp AC-rich consensus motif was associated with the predicted origins and conferred autonomous replicating activity to the mini-ARSs. Thus, while centromeres and the origins associated with them are epigenetic, arm origins are dependent upon critical DNA features, such as a binding site for ORC and a propensity for nucleosome exclusion. DNA replication machinery is highly conserved, yet the definition of exactly what specifies a replication origin differs in different species. Here, we utilized computational genomics to predict origin locations in Candida albicans by combining locations of binding sites for the conserved origin replication complex, necessary for replication initiation, together with chromatin organization patterns. We identified predicted sequences that exhibited bona fide origin function and developed a linear plasmid assay to delimit the DNA fragments necessary for origin function. Additionally, we found that a short AC-rich motif, which is enriched in predicted origins, is required for origin function. Thus, we demonstrated a new machine learning paradigm for identification of potential origins from a genome with no prior information. Furthermore, this work suggests that C. albicans has two different types of origins: “hard-wired” arm origins that rely upon specific sequence motifs and “epigenetic” centromeric origins that are recruited to kinetochores in a sequence-independent manner.
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17
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Temporal and spatial regulation of eukaryotic DNA replication: From regulated initiation to genome-scale timing program. Semin Cell Dev Biol 2014; 30:110-20. [DOI: 10.1016/j.semcdb.2014.04.014] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2014] [Accepted: 04/04/2014] [Indexed: 11/23/2022]
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18
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GC-rich DNA elements enable replication origin activity in the methylotrophic yeast Pichia pastoris. PLoS Genet 2014; 10:e1004169. [PMID: 24603708 PMCID: PMC3945215 DOI: 10.1371/journal.pgen.1004169] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2013] [Accepted: 12/25/2013] [Indexed: 11/19/2022] Open
Abstract
The well-studied DNA replication origins of the model budding and fission yeasts are A/T-rich elements. However, unlike their yeast counterparts, both plant and metazoan origins are G/C-rich and are associated with transcription start sites. Here we show that an industrially important methylotrophic budding yeast, Pichia pastoris, simultaneously employs at least two types of replication origins--a G/C-rich type associated with transcription start sites and an A/T-rich type more reminiscent of typical budding and fission yeast origins. We used a suite of massively parallel sequencing tools to map and dissect P. pastoris origins comprehensively, to measure their replication dynamics, and to assay the global positioning of nucleosomes across the genome. Our results suggest that some functional overlap exists between promoter sequences and G/C-rich replication origins in P. pastoris and imply an evolutionary bifurcation of the modes of replication initiation.
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19
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Müller CA, Hawkins M, Retkute R, Malla S, Wilson R, Blythe MJ, Nakato R, Komata M, Shirahige K, de Moura AP, Nieduszynski CA. The dynamics of genome replication using deep sequencing. Nucleic Acids Res 2014; 42:e3. [PMID: 24089142 PMCID: PMC3874191 DOI: 10.1093/nar/gkt878] [Citation(s) in RCA: 87] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2013] [Revised: 09/03/2013] [Accepted: 09/07/2013] [Indexed: 11/12/2022] Open
Abstract
Eukaryotic genomes are replicated from multiple DNA replication origins. We present complementary deep sequencing approaches to measure origin location and activity in Saccharomyces cerevisiae. Measuring the increase in DNA copy number during a synchronous S-phase allowed the precise determination of genome replication. To map origin locations, replication forks were stalled close to their initiation sites; therefore, copy number enrichment was limited to origins. Replication timing profiles were generated from asynchronous cultures using fluorescence-activated cell sorting. Applying this technique we show that the replication profiles of haploid and diploid cells are indistinguishable, indicating that both cell types use the same cohort of origins with the same activities. Finally, increasing sequencing depth allowed the direct measure of replication dynamics from an exponentially growing culture. This is the first time this approach, called marker frequency analysis, has been successfully applied to a eukaryote. These data provide a high-resolution resource and methodological framework for studying genome biology.
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Affiliation(s)
- Carolin A. Müller
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Michelle Hawkins
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Renata Retkute
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Sunir Malla
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Ray Wilson
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Martin J. Blythe
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Ryuichiro Nakato
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Makiko Komata
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Katsuhiko Shirahige
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Alessandro P.S. de Moura
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
| | - Conrad A. Nieduszynski
- School of Life Sciences, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Deep Seq, The University of Nottingham, Queen’s Medical Centre, Nottingham NG7 2UH, UK, Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan and Institute for Complex Systems and Mathematical Biology, The University of Aberdeen, Aberdeen, AB24 3UE UK
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20
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Liachko I, Dunham MJ. An autonomously replicating sequence for use in a wide range of budding yeasts. FEMS Yeast Res 2013; 14:364-7. [PMID: 24205893 DOI: 10.1111/1567-1364.12123] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Revised: 10/29/2013] [Accepted: 10/30/2013] [Indexed: 11/27/2022] Open
Abstract
The initiation of DNA replication at replication origins is essential for the duplication of genomes. In yeast, the autonomously replicating sequence (ARS) property of replication origins is necessary for the stable maintenance of episomal plasmids. However, because the sequence determinants of ARS function differ among yeast species, current ARS modules are limited for use to a subset of yeasts. Here, we describe a short ARS sequence that functions in at least 10 diverse species of budding yeast. These include, but are not limited to members of the Saccharomyces, Lachancea, Kluyveromyces, and Pichia (Komagataella) genera spanning over 500 million years of evolution. In addition to its wide species range, this ARS and an optimized derivative confer improved plasmid stability relative to other currently used ARS modules.
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Affiliation(s)
- Ivan Liachko
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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21
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Abstract
The accurate duplication and transmission of genetic information is critical for cell growth and proliferation, and this is ensured in part by the multi-layered regulation of DNA synthesis. One of the key steps in this process is the selection and activation of the sites of replication initiation, or origins, across the genome. Interestingly, origin usage changes during development and in different pathologies, suggesting an integral interplay between the establishment of replication initiation along the chromosomes and cellular function. The present review discusses how the spatiotemporal organization of replication origin activation may play crucial roles in the control of biological events.
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Affiliation(s)
- Blanca Gómez-Escoda
- *Institute of Genetics and Development of Rennes, CNRS UMR 6290, 2 avenue du Professeur Léon Bernard, 35043 Rennes, France
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22
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Newman TJ, Mamun MA, Nieduszynski CA, Blow JJ. Replisome stall events have shaped the distribution of replication origins in the genomes of yeasts. Nucleic Acids Res 2013; 41:9705-18. [PMID: 23963700 PMCID: PMC3834809 DOI: 10.1093/nar/gkt728] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2013] [Revised: 07/24/2013] [Accepted: 07/25/2013] [Indexed: 01/21/2023] Open
Abstract
During S phase, the entire genome must be precisely duplicated, with no sections of DNA left unreplicated. Here, we develop a simple mathematical model to describe the probability of replication failing due to the irreversible stalling of replication forks. We show that the probability of complete genome replication is maximized if replication origins are evenly spaced, the largest inter-origin distances are minimized, and the end-most origins are positioned close to chromosome ends. We show that origin positions in the yeast Saccharomyces cerevisiae genome conform to all three predictions thereby maximizing the probability of complete replication if replication forks stall. Origin positions in four other yeasts-Kluyveromyces lactis, Lachancea kluyveri, Lachancea waltii and Schizosaccharomyces pombe-also conform to these predictions. Equating failure rates at chromosome ends with those in chromosome interiors gives a mean per nucleotide fork stall rate of ∼5 × 10(-8), which is consistent with experimental estimates. Using this value in our theoretical predictions gives replication failure rates that are consistent with data from replication origin knockout experiments. Our theory also predicts that significantly larger genomes, such as those of mammals, will experience a much greater probability of replication failure genome-wide, and therefore will likely require additional compensatory mechanisms.
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Affiliation(s)
- Timothy J. Newman
- College of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK, School of Engineering, Physics and Mathematics, University of Dundee, Dundee, DD1 4HN, UK and Centre for Genetics and Genomics, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Mohammed A. Mamun
- College of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK, School of Engineering, Physics and Mathematics, University of Dundee, Dundee, DD1 4HN, UK and Centre for Genetics and Genomics, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Conrad A. Nieduszynski
- College of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK, School of Engineering, Physics and Mathematics, University of Dundee, Dundee, DD1 4HN, UK and Centre for Genetics and Genomics, University of Nottingham, Nottingham, NG7 2UH, UK
| | - J. Julian Blow
- College of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK, School of Engineering, Physics and Mathematics, University of Dundee, Dundee, DD1 4HN, UK and Centre for Genetics and Genomics, University of Nottingham, Nottingham, NG7 2UH, UK
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23
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Specification of DNA replication origins and genomic base composition in fission yeasts. J Mol Biol 2013; 425:4706-13. [PMID: 24095860 DOI: 10.1016/j.jmb.2013.09.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Revised: 09/17/2013] [Accepted: 09/19/2013] [Indexed: 11/21/2022]
Abstract
In the "Replicon Theory", Jacob, Brenner and Cuzin proposed the existence of replicators and initiators as the two major actors in DNA replication. Over the years, many protein components of initiators have been shown to be conserved in different organisms during evolution. By contrast, replicator DNA sequences (often referred to as replication origins) have diverged beyond possible comparison between eukaryotic genomes. Replication origins in the fission yeast Schizosaccharomyces pombe are made up of A+T-rich sequences that do not share any consensus elements. The information encoded in these replicators is interpreted by the Orc4 subunit of the ORC (origin recognition complex), which is unique among eukaryotes in that it contains a large domain harboring nine AT-hook subdomains that target ORC to a great variety of A+T-rich sequences along the chromosomes. Recently, the genomes of other Schizosaccharomyces species have been sequenced and the regions encompassing their replication origins have been identified. DNA sequence analysis and comparison of the organization of their Orc4 proteins have revealed species-specific differences that contribute to our understanding of how the specification of replication origins has evolved during the phylogenetic divergence of fission yeasts.
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24
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Hoggard T, Shor E, Müller CA, Nieduszynski CA, Fox CA. A Link between ORC-origin binding mechanisms and origin activation time revealed in budding yeast. PLoS Genet 2013; 9:e1003798. [PMID: 24068963 PMCID: PMC3772097 DOI: 10.1371/journal.pgen.1003798] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2013] [Accepted: 07/30/2013] [Indexed: 01/19/2023] Open
Abstract
Eukaryotic DNA replication origins are selected in G1-phase when the origin recognition complex (ORC) binds chromosomal positions and triggers molecular events culminating in the initiation of DNA replication (a.k.a. origin firing) during S-phase. Each chromosome uses multiple origins for its duplication, and each origin fires at a characteristic time during S-phase, creating a cell-type specific genome replication pattern relevant to differentiation and genome stability. It is unclear whether ORC-origin interactions are relevant to origin activation time. We applied a novel genome-wide strategy to classify origins in the model eukaryote Saccharomyces cerevisiae based on the types of molecular interactions used for ORC-origin binding. Specifically, origins were classified as DNA-dependent when the strength of ORC-origin binding in vivo could be explained by the affinity of ORC for origin DNA in vitro, and, conversely, as ‘chromatin-dependent’ when the ORC-DNA interaction in vitro was insufficient to explain the strength of ORC-origin binding in vivo. These two origin classes differed in terms of nucleosome architecture and dependence on origin-flanking sequences in plasmid replication assays, consistent with local features of chromatin promoting ORC binding at ‘chromatin-dependent’ origins. Finally, the ‘chromatin-dependent’ class was enriched for origins that fire early in S-phase, while the DNA-dependent class was enriched for later firing origins. Conversely, the latest firing origins showed a positive association with the ORC-origin DNA paradigm for normal levels of ORC binding, whereas the earliest firing origins did not. These data reveal a novel association between ORC-origin binding mechanisms and the regulation of origin activation time. Cell division requires the duplication of chromosomes, protein-DNA complexes harboring genetic information. Specific chromosomal positions, origins, initiate this duplication. Multiple origins are required for accurate, efficient duplication—an insufficient number leads to mistakes in the genetic material and pathologies such as cancer. Origins are chosen when the origin recognition complex (ORC) binds to them. The molecular interactions controlling this binding remain unclear. Understanding these interactions will lead to new ways to control cell division, which could aid in treatments of disease. Experiments were performed in the eukaryotic microbe budding yeast to define the types of molecular interactions ORC uses to bind origins. Yeasts are useful for these studies because chromosome duplication and structure are well conserved from yeast to humans. While ORC-DNA interactions were important, interactions between ORC and chromosomal proteins played a role. In addition, different origins relied on different types of molecular interactions with ORC. Finally, ORC-protein interactions but not ORC-DNA interactions were associated with enhanced origin function during chromosome-duplication, revealing an unanticipated link between the types of molecular interactions ORC uses to select an origin and the ultimate function of that origin. These results have implications for interfering with ORC-origin interactions to control cell division.
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Affiliation(s)
- Timothy Hoggard
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Program in Cellular and Molecular Biology, College of Agriculture and Life Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Erika Shor
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Carolin A. Müller
- Centre for Genetics and Genomics, University of Nottingham Queen's Medical Centre, Nottingham, United Kingdom
| | - Conrad A. Nieduszynski
- Centre for Genetics and Genomics, University of Nottingham Queen's Medical Centre, Nottingham, United Kingdom
- * E-mail: (CAN); (CAF)
| | - Catherine A. Fox
- Department of Biomolecular Chemistry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- Program in Cellular and Molecular Biology, College of Agriculture and Life Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
- * E-mail: (CAN); (CAF)
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25
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Proux-Wéra E, Byrne KP, Wolfe KH. Evolutionary mobility of the ribosomal DNA array in yeasts. Genome Biol Evol 2013; 5:525-31. [PMID: 23419706 PMCID: PMC3622299 DOI: 10.1093/gbe/evt022] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The ribosomal DNA (rDNA) of eukaryotes is organized as large tandem arrays. Here, we compare the genomic locations of rDNA among yeast species and show that, despite its huge size (>1 Mb), the rDNA array has moved around the genome several times within the family Saccharomycetaceae. We identify an ancestral, nontelomeric, rDNA site that is conserved across many species including Saccharomyces cerevisiae. Within the genus Lachancea, however, the rDNA apparently transposed from the ancestral site to a new site internal to a different chromosome, becoming inserted into a short intergenic region beside a tRNA gene. In at least four other yeast lineages, the rDNA moved from the ancestral site to telomeric locations. Remarkably, both the ancestral rDNA site and the new site in Lachancea are adjacent to protein-coding genes whose products maintain the specialized chromatin structure of rDNA (HMO1 and CDC14, respectively). In almost every case where the rDNA was lost from the ancestral site, the entire array disappeared without any other rearrangements in the region, leaving just an intergenic spacer of less than 2 kb. The mechanism by which this large and complex locus moves around the genome is unknown, but we speculate that it may involve the formation of double-strand DNA breaks by Fob1 protein or the formation of extrachromosomal rDNA circles.
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26
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Abstract
Patterns of replication within eukaryotic genomes correlate with gene expression, chromatin structure, and genome evolution. Recent advances in genome-scale mapping of replication kinetics have allowed these correlations to be explored in many species, cell types, and growth conditions, and these large data sets have allowed quantitative and computational analyses. One striking new correlation to emerge from these analyses is between replication timing and the three-dimensional structure of chromosomes. This correlation, which is significantly stronger than with any single histone modification or chromosome-binding protein, suggests that replication timing is controlled at the level of chromosomal domains. This conclusion dovetails with parallel work on the heterogeneity of origin firing and the competition between origins for limiting activators to suggest a model in which the stochastic probability of individual origin firing is modulated by chromosomal domain structure to produce patterns of replication. Whether these patterns have inherent biological functions or simply reflect higher-order genome structure is an open question.
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Affiliation(s)
- Nicholas Rhind
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA.
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27
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Méchali M, Yoshida K, Coulombe P, Pasero P. Genetic and epigenetic determinants of DNA replication origins, position and activation. Curr Opin Genet Dev 2013; 23:124-31. [PMID: 23541525 DOI: 10.1016/j.gde.2013.02.010] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Revised: 02/15/2013] [Accepted: 02/19/2013] [Indexed: 11/28/2022]
Abstract
In the genome of eukaryotic cells, DNA synthesis is initiated at multiple sites called origins of DNA replication. Origins must fire only once per cell cycle and how this is achieved is now well understood. However, little is known about the mechanisms that determine when and where replication initiates in a given cell. A large body of evidence indicates that origins are not equal in terms of efficiency and timing of activation. Origin usage also changes concomitantly with the different cell differentiation programs. As DNA replication occurs in the context of chromatin, initiation could be influenced by multiple parameters, such as nucleosome positioning, histone modifications, and three-dimensional (3D) organization of the nucleus. This view is supported by recent genome-wide studies showing that DNA replication profiles are shaped by genetic and epigenetic processes that act both at the local and global levels to regulate origin function in eukaryotic cells.
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Affiliation(s)
- Marcel Méchali
- Institute of Human Genetics, 141 rue de la Cardonille, 34396 Montpellier Cedex 5, France.
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28
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Agier N, Romano OM, Touzain F, Cosentino Lagomarsino M, Fischer G. The spatiotemporal program of replication in the genome of Lachancea kluyveri. Genome Biol Evol 2013; 5:370-88. [PMID: 23355306 PMCID: PMC3590768 DOI: 10.1093/gbe/evt014] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2013] [Indexed: 12/11/2022] Open
Abstract
We generated a genome-wide replication profile in the genome of Lachancea kluyveri and assessed the relationship between replication and base composition. This species diverged from Saccharomyces cerevisiae before the ancestral whole genome duplication. The genome comprises eight chromosomes among which a chromosomal arm of 1 Mb has a G + C-content much higher than the rest of the genome. We identified 252 active replication origins in L. kluyveri and found considerable divergence in origin location with S. cerevisiae and with Lachancea waltii. Although some global features of S. cerevisiae replication are conserved: Centromeres replicate early, whereas telomeres replicate late, we found that replication origins both in L. kluyveri and L. waltii do not behave as evolutionary fragile sites. In L. kluyveri, replication timing along chromosomes alternates between regions of early and late activating origins, except for the 1 Mb GC-rich chromosomal arm. This chromosomal arm contains an origin consensus motif different from other chromosomes and is replicated early during S-phase. We showed that precocious replication results from the specific absence of late firing origins in this chromosomal arm. In addition, we found a correlation between GC-content and distance from replication origins as well as a lack of replication-associated compositional skew between leading and lagging strands specifically in this GC-rich chromosomal arm. These findings suggest that the unusual base composition in the genome of L. kluyveri could be linked to replication.
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Affiliation(s)
- Nicolas Agier
- UPMC, UMR7238, Génomique des Microorganismes, Paris, France
- CNRS, UMR7238, Génomique des Microorganismes, Paris, France
| | | | - Fabrice Touzain
- UPMC, UMR7238, Génomique des Microorganismes, Paris, France
- CNRS, UMR7238, Génomique des Microorganismes, Paris, France
- Present address: ANSES, Ploufragan/Plouzané Laboratory Viral Genomics and Biosecurity Unit (GVB), Ploufragan, France
| | - Marco Cosentino Lagomarsino
- UPMC, UMR7238, Génomique des Microorganismes, Paris, France
- CNRS, UMR7238, Génomique des Microorganismes, Paris, France
| | - Gilles Fischer
- UPMC, UMR7238, Génomique des Microorganismes, Paris, France
- CNRS, UMR7238, Génomique des Microorganismes, Paris, France
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Liachko I, Youngblood RA, Keich U, Dunham MJ. High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast. Genome Res 2012; 23:698-704. [PMID: 23241746 PMCID: PMC3613586 DOI: 10.1101/gr.144659.112] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
DNA replication origins are necessary for the duplication of genomes. In addition, plasmid-based expression systems require DNA replication origins to maintain plasmids efficiently. The yeast autonomously replicating sequence (ARS) assay has been a valuable tool in dissecting replication origin structure and function. However, the dearth of information on origins in diverse yeasts limits the availability of efficient replication origin modules to only a handful of species and restricts our understanding of origin function and evolution. To enable rapid study of origins, we have developed a sequencing-based suite of methods for comprehensively mapping and characterizing ARSs within a yeast genome. Our approach finely maps genomic inserts capable of supporting plasmid replication and uses massively parallel deep mutational scanning to define molecular determinants of ARS function with single-nucleotide resolution. In addition to providing unprecedented detail into origin structure, our data have allowed us to design short, synthetic DNA sequences that retain maximal ARS function. These methods can be readily applied to understand and modulate ARS function in diverse systems.
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Affiliation(s)
- Ivan Liachko
- Department of Genome Sciences, University of Washington, Seattle, Washington 98105, USA
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