Search results for "Genome"

showing 10 items of 1913 documents

Evidence for the Existence of a Pseudogene for the Large Subunit of Rubisco within the Chloroplast DNA of Norway Spruce (Picea Abies)

1998

Many hundreds of genes are involved in the synthesis, maintenance and degradation of chloroplasts. Although quite a number of these genes are located in the chloroplast genome, by far the greater proportion is present in the nuclear genome. The sizes of chloroplast DNAs (cpDNA) were estimated from restriction enzyme mapping studies and the complete sequences of different cpDNAs from diverse plant lineages have been determined to date (Marchantia polymorpha [1], Nicotiana tabacum [2], Oryza saliva [3], Epifagus virginiana [4], Euglena gracilis [5], Pinus thunbergii [6], Porphyra purpurea [7], Odontella sinensis [8], Zea mays [9], Chlorella vulgaris [10]).

Euglena gracilisNuclear genebiologyved/biologyfungiRuBisCOved/biology.organism_classification_rank.speciesfood and beveragesbiology.organism_classificationGenomeChloroplastMarchantia polymorphaEpifagusChloroplast DNABotanybiology.protein
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Phylogeography of a Habitat Specialist with High Dispersal Capability: The Savi’s Warbler Locustella luscinioides

2012

In order to describe the influence of Pleistocene glaciations on the genetic structure and demography of a highly mobile, but specialized, passerine, the Savi's Warbler (Locustella luscinioides), mitochondrial DNA sequences (ND2) and microsatellites were analysed in c.330 individuals of 17 breeding and two wintering populations. Phylogenetic, population genetics and coalescent methods were used to describe the genetic structure, determine the timing of the major splits and model the demography of populations. Savi's Warblers split from its sister species c.8 million years ago and have two major haplotype groups that diverged in the early/middle Pleistocene. One of these clades originated in…

Evolutionary Genetics0106 biological sciencesAnimal EvolutionPopulation Dynamicslcsh:MedicinePopulation genetics01 natural sciencesCoalescent theoryWarblerSongbirdslcsh:ScienceGenome EvolutionPhylogenyLikelihood FunctionsPrincipal Component Analysis0303 health scienceseducation.field_of_studyMultidisciplinarybiologyGenomicsEuropePhylogeographyGenetic structureResearch ArticleGene FlowMolecular Sequence DataPopulationDNA Mitochondrial010603 evolutionary biology03 medical and health sciencesAnimalsEvolutionary SystematicseducationBiologyEcosystemDemography030304 developmental biologyAnalysis of VarianceEvolutionary BiologyBase SequenceModels Geneticlcsh:RComputational BiologyLocustella luscinioidesBayes TheoremSequence Analysis DNAbiology.organism_classificationOrganismal EvolutionPhylogeographyGenetics PopulationHaplotypesEvolutionary biologyBiological dispersallcsh:QAnimal MigrationGenome Expression AnalysisPopulation GeneticsMicrosatellite RepeatsPLoS ONE
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On the power and the systematic biases of the detection of chromosomal inversions by paired-end genome sequencing

2013

One of the most used techniques to study structural variation at a genome level is paired-end mapping (PEM). PEM has the advantage of being able to detect balanced events, such as inversions and translocations. However, inversions are still quite difficult to predict reliably, especially from high-throughput sequencing data. We simulated realistic PEM experiments with different combinations of read and library fragment lengths, including sequencing errors and meaningful base-qualities, to quantify and track down the origin of false positives and negatives along sequencing, mapping, and downstream analysis. We show that PEM is very appropriate to detect a wide range of inversions, even with …

Evolutionary GeneticsChromosome Structure and Functionlcsh:MedicineComputational biologyBiologyGenomeDNA sequencingStructural variation03 medical and health sciences0302 clinical medicineGenetic MutationGeneticsFalse positive paradoxHumansComputer SimulationFalse Positive ReactionsGenomic libraryGenome Sequencinglcsh:ScienceBiologyGenome EvolutionFalse Negative Reactions030304 developmental biologyChromosomal inversionSegmental duplicationGeneticsEvolutionary Biology0303 health sciencesMultidisciplinaryChromosome Biologylcsh:RBreakpointMutation TypesComputational BiologyChromosome MappingGenomic EvolutionGenomicsSequence Analysis DNAComparative GenomicsChromosomes Human Pair 1Chromosome Inversionlcsh:QStructural GenomicsSequence AnalysisAlgorithms030217 neurology & neurosurgeryResearch Article
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Why are viral genomes so fragile? The bottleneck hypothesis

2021

If they undergo new mutations at each replication cycle, why are RNA viral genomes so fragile, with most mutations being either strongly deleterious or lethal? Here we provide theoretical and numerical evidence for the hypothesis that genetic fragility is partly an evolutionary response to the multiple population bottlenecks experienced by viral populations at various stages of their life cycles. Modelling within-host viral populations as multi-type branching processes, we show that mutational fragility lowers the rate at which Muller’s ratchet clicks and increases the survival probability through multiple bottlenecks. In the context of a susceptible-exposed-infectious-recovered epidemiolog…

Evolutionary GeneticsRNA virusesMutation rateEpidemiologyExtinct GenomesMedicine and Health SciencesBiology (General)Genetics0303 health sciencesEvolutionary epidemiologyEcologyMicrobial MutationGenomicsDeletion MutationComputational Theory and MathematicsViral genomesGenetic EpidemiologyModeling and SimulationViral evolutionPopulation bottlenecksVirusesRNA ViralResearch ArticleQH301-705.5Genomics[SDV.CAN]Life Sciences [q-bio]/CancerContext (language use)Genome ViralBiologyMicrobiologyGenomic InstabilityViral EvolutionBottleneckEvolution Molecular03 medical and health sciencesCellular and Molecular NeuroscienceSurvival probabilityVirologyGeneticsFragilityMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyEvolutionary BiologyModels Genetic030306 microbiologyOrganismsComputational BiologyBiology and Life SciencesRNAVirus evolutionOrganismal EvolutionGenetic architecture[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Population bottleneckViral replicationMutationMicrobial Evolution
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On the complexity of the Saccharomyces bayanus taxon: Hybridization and potential hybrid speciation

2014

Although the genus Saccharomyces has been thoroughly studied, some species in the genus has not yet been accurately resolved; an example is S. bayanus, a taxon that includes genetically diverse lineages of pure and hybrid strains. This diversity makes the assignation and classification of strains belonging to this species unclear and controversial. They have been subdivided by some authors into two varieties (bayanus and uvarum), which have been raised to the species level by others. In this work, we evaluate the complexity of 46 different strains included in the S. bayanus taxon by means of PCR-RFLP analysis and by sequencing of 34 gene regions and one mitochondrial gene. Using the sequenc…

Evolutionary GeneticsSaccharomyces bayanusDIVERSITYSequence Homologylcsh:MedicineSaccharomycesPolymerase Chain Reaction//purl.org/becyt/ford/1 [https]Genética y HerenciaPCR-RFLP analysisFungal EvolutionCluster Analysislcsh:ScienceGenome EvolutionPhylogenyGeneticsMultidisciplinarySACCHAROMYCES EUBAYANUSPhylogenetic analysisbiologyStrain (biology)Systems BiologyGenomicsS. bayanusPolymorphism Restriction Fragment LengthCIENCIAS NATURALES Y EXACTASResearch ArticleEvolutionary ProcessesGenetic SpeciationMolecular Sequence DataIntrogressionMycologyGenome ComplexityMicrobiologyGenètica molecularCiencias BiológicasSaccharomycesSpecies SpecificityPhylogeneticsGenetic variationGeneticsYEAST//purl.org/becyt/ford/1.6 [https]HybridizationAllelesHybridEvolutionary BiologyBase Sequencelcsh:ROrganismsFungiBiology and Life SciencesComputational BiologyGenetic VariationSACCHAROMYCES PASTORIANUSSequence Analysis DNAComparative Genomicsbiology.organism_classificationYeastGenetics PopulationHaplotypesFungal ClassificationHybridization GeneticHybrid speciationlcsh:Q
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From molecular genetics to phylodynamics: evolutionary relevance of mutation rates across viruses.

2012

Although evolution is a multifactorial process, theory posits that the speed of molecular evolution should be directly determined by the rate at which spontaneous mutations appear. To what extent these two biochemical and population-scale processes are related in nature, however, is largely unknown. Viruses are an ideal system for addressing this question because their evolution is fast enough to be observed in real time, and experimentally-determined mutation rates are abundant. This article provides statistically supported evidence that the mutation rate determines molecular evolution across all types of viruses. Properties of the viral genome such as its size and chemical composition are…

Evolutionary Geneticslcsh:Immunologic diseases. AllergyMutation rateGenome evolutionImmunologyGenome ViralBiologyGenomeMicrobiologyEvolution Molecular03 medical and health sciencesMutation RateMolecular evolutionPhylogeneticsVirologyGeneticsMolecular BiologyBiologylcsh:QH301-705.5Phylogeny030304 developmental biologyGenetics0303 health sciencesEvolutionary BiologyModels Genetic030306 microbiologyMutagenesisMicrobial MutationBiological EvolutionViral phylodynamicslcsh:Biology (General)Viral evolutionVirusesParasitologylcsh:RC581-607Population GeneticsResearch ArticlePLoS Pathogens
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Reconstruction of the evolutionary history of Saccharomyces cerevisiae x S. kudriavzevii hybrids based on multilocus sequence analysis.

2012

In recent years, interspecific hybridization and introgression are increasingly recognized as significant events in the evolution of Saccharomyces yeasts. These mechanisms have probably been involved in the origin of novel yeast genotypes and phenotypes, which in due course were to colonize and predominate in the new fermentative environments created by human manipulation. The particular conditions in which hybrids arose are still unknown, as well as the number of possible hybridization events that generated the whole set of natural hybrids described in the literature during recent years. In this study, we could infer at least six different hybridization events that originated a set of 26 S…

Evolutionary Geneticslcsh:MedicineYeast and Fungal ModelsWineSaccharomycesGenomeSouth AfricaNatural SelectionFungal EvolutionDNA FungalMycological Typing Techniqueslcsh:ScienceGenome EvolutionPhylogenyRecombination GeneticGeneticsMultidisciplinarybiologyfood and beveragesGenomicsBiological EvolutionEuropePhylogeographyPloidyResearch ArticleGenome evolutionEvolutionary ProcessesGenotypeGenes FungalIntrogressionGenomicsMycologySaccharomyces cerevisiaeMicrobiologySaccharomycesModel OrganismsPhylogeneticsGeneticsHumansAdaptationBiologyHybridizationHybridEvolutionary BiologyPloidiesChimeralcsh:RComparative GenomicsSouth Americabiology.organism_classificationYeastGenetic Polymorphismlcsh:QPopulation GeneticsMultilocus Sequence TypingPLoS ONE
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A Critical Review of Statistical Methods for Twin Studies Relating Exposure to Early Life Health Conditions

2021

International audience; When investigating disease etiology, twin data provide a unique opportunity to control for confounding and disentangling the role of the human genome and exposome. However, using appropriate statistical methods is fundamental for exploiting such potential. We aimed to critically review the statistical approaches used in twin studies relating exposure to early life health conditions. We searched PubMed, Scopus, Web of Science, and Embase (2011–2021). We identified 32 studies and nine classes of methods. Five were conditional approaches (within-pair analyses): additive-common-erratic (ACE) models (11 studies), generalized linear mixed models (GLMMs, five studies), gene…

ExposomeComputer scienceHealth Toxicology and MutagenesisInferenceMarginal modelReviewexposomeGeneralized linear mixed modeltwin data03 medical and health sciences0302 clinical medicineDiscriminative modelchildren[STAT.AP] Statistics [stat]/Applications [stat.AP]StatisticsHumans030212 general & internal medicineGeneralized estimating equationchildren Exposome Genome Health Statistical methods Twin data Humans Linear Models Models Statisticalgenome030304 developmental biology0303 health sciences[STAT.AP]Statistics [stat]/Applications [stat.AP]Models StatisticalConfoundingPublic Health Environmental and Occupational HealthRhealthTwin studychildren exposome genome health statistical methods twin data[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieLinear Modelsstatistical methodsMedicine[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
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Statistical analysis of yeast genomic downstream sequences reveals putative polyadenylation signals

2000

The study of a few genes has permitted the identification of three elements that constitute a yeast polyadenyl­ation signal: the efficiency element (EE), the positioning element and the actual site for cleavage and poly­adenyl­ation. In this paper we perform an analysis of oligonucleotide composition on the sequences located downstream of the stop codon of all yeast genes. Several oligonucleotide families appear over-represented with a high significance (referred to herein as"words"). The family with the highest over-representation includes the oligonucleotides shown experimentally to play a role as EEs. The word with the highest score is TATATA, followed, among others, by a series of singl…

Expressed Sequence TagsGeneticsExpressed sequence tagBase SequencePolyadenylation[SDV]Life Sciences [q-bio]Saccharomyces cerevisiaeSaccharomyces cerevisiaeBiologybiology.organism_classificationSaccharomycesArticleYeastStop codonSaccharomycesGeneticsCluster Analysis[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Genome FungalORFSPoly AGeneComputingMilieux_MISCELLANEOUS
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Phylogenomics reveals deep molluscan relationships.

2011

Evolutionary relationships among the eight major lineages of Mollusca have remained unresolved despite their diversity and importance. Previous investigations of molluscan phylogeny, based primarily on nuclear ribosomal gene sequences1–3 or morphological data4, have been unsuccessful at elucidating these relationships. Recently, phylogenomic studies using dozens to hundreds of genes have greatly improved our understanding of deep animal relationships5. However, limited genomic resources spanning molluscan diversity has prevented use of a phylogenomic approach. Here we use transcriptome and genome data from all major lineages (except Monoplacophora) and recover a well-supported topology for …

Expressed Sequence TagsMultidisciplinaryGenomebiologyAculiferaGene Expression ProfilingGastropodaZoologyCaudofoveataGenomicsMonoplacophoraConchiferabiology.organism_classificationModels BiologicalArticleBivalviaMonophylyAplacophoraGenesPhylogeneticsMolluscaPhylogenomicsAnimalsPhylogenyNature
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