Search results for "Structural VAR"

showing 10 items of 17 documents

Whole-genome resequencing of Cucurbita pepo morphotypes to discover genomic variants associated with morphology and horticulturally valuable traits

2019

[EN] Cucurbita pepo contains two cultivated subspecies, each of which encompasses four fruit-shape morphotypes (cultivar groups). The Pumpkin, Vegetable Marrow, Cocozelle, and Zucchini Groups are of subsp. pepo and the Acorn, Crookneck, Scallop, and Straightneck Groups are of subsp. ovifera. Recently, a de novo assembly of the C. pepo subsp. pepo Zucchini genome was published, providing insights into its evolution. To expand our knowledge of evolutionary processes within C. pepo and to identify variants associated with particular morphotypes, we performed whole-genome resequencing of seven of these eight C. pepo morphotypes. We report for the first time whole-genome resequencing of the four…

0106 biological sciences0301 basic medicineLinkage disequilibriumFruit shapeEvolutionGenomicsPlantesPlant ScienceHorticultureSubspecies01 natural sciencesBiochemistryGenomeArticleCandidate genesStructural variation03 medical and health sciencesCucurbita pepoSizelcsh:BotanyGenetic variationGeneticslcsh:QH301-705.5GeneticsbiologyRevealsSunHomologsbiology.organism_classificationlcsh:QK1-989Common02.- Poner fin al hambre conseguir la seguridad alimentaria y una mejor nutrición y promover la agricultura sostenibleGenòmicaYabby gene familyGENETICA030104 developmental biologyNatural variation in plantslcsh:Biology (General)Genetic markerStructural variation010606 plant biology & botanyBiotechnology
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Disentangling structural genomic and behavioural barriers in a sea of connectivity

2019

18 pages, 4 tables, 3 figures.-- This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited

0106 biological sciences0301 basic medicineSympatryReproductive IsolationChromosomal rearrangementsPopulation010603 evolutionary biology01 natural sciencesGene flow03 medical and health sciencesBehavioural traitsGeneticsAnimalsGadus14. Life underwaterSelection GeneticAdaptationeducationEcology Evolution Behavior and Systematicseducation.field_of_studySympatric divergencebiologyGenetic DriftHomozygoteGenetic VariationReproductive isolationbiology.organism_classificationSpecial Issue on the Role of Genomic Structural Variants in Adaptation and DiversificationGene flowGenetic divergenceSympatrySpecial Issue: The Role of Genomic Structural Variants in Adaptation and Diversification030104 developmental biologyGadus morhuaSympatric speciationEvolutionary biologyAtlantic codChromosome InversionGenetic FitnessAtlantic cod
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Genomic Analysis of European Drosophila melanogaster Populations Reveals Longitudinal Structure, Continent-Wide Selection, and Previously Unknown DNA…

2020

Genetic variation is the fuel of evolution, with standing genetic variation especially important for short-term evolution and local adaptation. To date, studies of spatiotemporal patterns of genetic variation in natural populations have been challenging, as comprehensive sampling is logistically difficult, and sequencing of entire populations costly. Here, we address these issues using a collaborative approach, sequencing 48 pooled population samples from 32 locations, and perform the first continent-wide genomic analysis of genetic variation in European Drosophila melanogaster. Our analyses uncover longitudinal population structure, provide evidence for continent-wide selective sweeps, ide…

0106 biological sciencesMaleincipient sexual isolationQH301 BiologyAcclimatizationADNGenome Insect01 natural sciencesPopulation genomicsAdaptation; Clines; Demography; Population genomics; Selection; SNPs; Structural variants; Acclimatization; Altitude; Animals; DNA Viruses; Drosophila melanogaster; Europe; Genome Mitochondrial; Haplotypes; Insect Viruses; Male; Phylogeography; Polymorphism Single Nucleotide; Genome Insect; Genomic Structural Variation; Microbiota; Selection GeneticSDG 13 - Climate ActionComputingMilieux_MISCELLANEOUSeducation.field_of_study0303 health sciencesAltitude[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]PE&RCgeneettinen muunteluPhylogeographyDrosophila melanogasterLaboratory of GeneticsTransposable elementnorth-americanmahlakärpäsetSettore BIO/18 - GENETICAselectionLaboratorium voor Erfelijkheidsleeramino-acid polymorphism03 medical and health sciencesGeneticGeneticsAdaptation demographyMicrobiomeAdaptationPolymorphismeducationDrosophilaMolecular BiologySelectionEcology Evolution Behavior and SystematicsDemography[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]DNAchemistryEvolutionary biologyGenome MitochondrialGenomic Structural Variationinversion in(3r)payneAdaptationPopulation genomicsStructural variantsGenètica[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosisadaptation demographyCandidate genenucleotide polymorphismAcademicSubjects/SCI01180chemistry.chemical_compoundMelanogaster2. Zero hungerGenomebiologyMicrobiotaSingle NucleotideClinesclinesMitochondrialEuropepopulaatiogenetiikkatransposable elementsDrosophila melanogasterSNPsnatural-populationspopulation genomicsPopulationnext-generationDrosòfila melanogasterInsect Viruses010603 evolutionary biologyPolymorphism Single NucleotideQH301latitudinal clineGenetic variationAnimalsSelection GeneticSelection (genetic algorithm)DiscoveriesLocal adaptation030304 developmental biologylife-historyAcademicSubjects/SCI01130DNA Virusesstructural variantsDASbiology.organism_classificationHaplotypes13. Climate actionperimä[SDE.BE]Environmental Sciences/Biodiversity and EcologyInsectDNAMolecular Biology and Evolution
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Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep.

2019

Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pathways related to the selected traits. We identified CNVs in 416 individuals genotyped using the Illumina OvineSNP50 BeadChip array. The CNV association using a correlation-trend test model was examined with the Golden Helix SVS 8.7.0 tool. Significant CNVs were detected when their adjusted p-value was <0.01 after false discovery rate (FDR) correction. We identified 7,208 CNVs, which gave 365 C…

0301 basic medicineFalse discovery rateCandidate geneDNA Copy Number VariationsGenotypeSciencePopulationGenomic Structural VariationQuantitative Trait LociGenome-wide association studyQuantitative trait locusBiology03 medical and health sciencesSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoAnimalsLactationCopy-number variationeducationGeneGeneticseducation.field_of_studyMultidisciplinarySheepBiochemistry Genetics and Molecular Biology (all)QAnimals chromosome mapping dairying female genome-Wide association study genotype lactation sheep DNA copy number variations quantitative trait loci0402 animal and dairy scienceRChromosome Mapping04 agricultural and veterinary sciences040201 dairy & animal scienceDairying030104 developmental biologyAgricultural and Biological Sciences (all)MedicineFemaleGenome-Wide Association StudyResearch ArticlePLoS ONE
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Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions.

2020

Genetic diseases are driven by aberrations of the human genome. Identification of such aberrations including structural variations (SVs) is key to our understanding. Conventional short-reads whole genome sequencing (cWGS) can identify SVs to base-pair resolution, but utilizes only short-range information and suffers from high false discovery rate (FDR). Linked-reads sequencing (10XWGS) utilizes long-range information by linkage of short-reads originating from the same large DNA molecule. This can mitigate alignment-based artefacts especially in repetitive regions and should enable better prediction of SVs. However, an unbiased evaluation of this technology is not available. In this study, w…

0301 basic medicineFalse discovery rateComputer scienceArtificial Gene Amplification and ExtensionPolymerase Chain ReactionDatabase and Informatics MethodsSequencing techniques0302 clinical medicineBreast TumorsBasic Cancer ResearchMedicine and Health SciencesDNA sequencingBiology (General)EcologyHigh-Throughput Nucleotide SequencingGenomicsDNA Neoplasm3. Good healthIdentification (information)OncologyComputational Theory and MathematicsModeling and SimulationMCF-7 CellsFemaleSequence AnalysisResearch ArticleBioinformaticsQH301-705.5Breast NeoplasmsGenomicsComputational biologyResearch and Analysis MethodsHuman Genomics03 medical and health sciencesCellular and Molecular NeuroscienceCancer GenomicsGenomic MedicineBreast CancerGeneticsDNA Barcoding TaxonomicHumansMolecular Biology TechniquesMolecular BiologyEcology Evolution Behavior and SystematicsWhole genome sequencingLinkage (software)Whole Genome SequencingGenome HumanDideoxy DNA sequencingGenetic Diseases InbornCancers and NeoplasmsBiology and Life SciencesComputational BiologyStatistical modelSequence Analysis DNARepetitive RegionsLogistic Models030104 developmental biologyGenomic Structural VariationHuman genomeSequence Alignment030217 neurology & neurosurgeryPLoS Computational Biology
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CLOVE: classification of genomic fusions into structural variation events

2017

Background A precise understanding of structural variants (SVs) in DNA is important in the study of cancer and population diversity. Many methods have been designed to identify SVs from DNA sequencing data. However, the problem remains challenging because existing approaches suffer from low sensitivity, precision, and positional accuracy. Furthermore, many existing tools only identify breakpoints, and so not collect related breakpoints and classify them as a particular type of SV. Due to the rapidly increasing usage of high throughput sequencing technologies in this area, there is an urgent need for algorithms that can accurately classify complex genomic rearrangements (involving more than …

0301 basic medicineGenomicsBiologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistryChromosomesDNA sequencingSet (abstract data type)Structural variationUser-Computer Interface03 medical and health sciencesStructural BiologyEscherichia coliHumansCopy-number variationMolecular Biologylcsh:QH301-705.5InternetMethodology ArticleApplied MathematicsBreakpointGenomic rearrangementsDNAGenomicsStructural variationsComputer Science ApplicationsIdentification (information)030104 developmental biologylcsh:Biology (General)Nucleic Acid ConformationGraph (abstract data type)lcsh:R858-859.7Data miningcomputerAlgorithmsBMC Bioinformatics
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Evolutionary stability of topologically associating domains is associated with conserved gene regulation

2018

AbstractBackgroundThe human genome is highly organized in the three-dimensional nucleus. Chromosomes fold locally into topologically associating domains (TADs) defined by increased intra-domain chromatin contacts. TADs contribute to gene regulation by restricting chromatin interactions of regulatory sequences, such as enhancers, with their target genes. Disruption of TADs can result in altered gene expression and is associated to genetic diseases and cancers. However, it is not clear to which extent TAD regions are conserved in evolution and whether disruption of TADs by evolutionary rearrangements can alter gene expression.ResultsHere, we hypothesize that TADs represent essential functiona…

0301 basic medicinePhysiologyEvolutionGenome rearrangementsGene ExpressionGenomicsPlant ScienceComputational biologyBiologyGenomeGeneral Biochemistry Genetics and Molecular BiologyEvolution Molecular03 medical and health sciencesMiceStructural BiologyHi-CGene expressionAnimalsHumansEnhancerlcsh:QH301-705.5GeneSelectionEcology Evolution Behavior and SystematicsRegulation of gene expressionGenomeTopologically associating domainsGenome HumanCell BiologyTADChromatin Assembly and DisassemblyChromatinGene regulation030104 developmental biologylcsh:Biology (General)Gene Expression RegulationRegulatory sequenceHuman genomeGeneral Agricultural and Biological SciencesStructural variantsChromatin interactions3D genome architectureDevelopmental BiologyBiotechnologyResearch ArticleBMC Biology
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Whole genome paired-end sequencing elucidates functional and phenotypic consequences of balanced chromosomal rearrangement in patients with developme…

2019

BackgroundBalanced chromosomal rearrangements associated with abnormal phenotype are rare events, but may be challenging for genetic counselling, since molecular characterisation of breakpoints is not performed routinely. We used next-generation sequencing to characterise breakpoints of balanced chromosomal rearrangements at the molecular level in patients with intellectual disability and/or congenital anomalies.MethodsBreakpoints were characterised by a paired-end low depth whole genome sequencing (WGS) strategy and validated by Sanger sequencing. Expression study of disrupted and neighbouring genes was performed by RT-qPCR from blood or lymphoblastoid cell line RNA.ResultsAmong the 55 pat…

AdultMale0301 basic medicineCandidate geneAdolescentDNA Copy Number VariationsDevelopmental Disabilities030105 genetics & heredityGenomeTranslocation GeneticStructural variationChromosome BreakpointsStructure-Activity RelationshipYoung Adult03 medical and health sciencessymbols.namesakeposition effectGeneticsHumansChildGeneGenetic Association StudiesGenetics (clinical)Paired-end tagComputingMilieux_MISCELLANEOUSchromosomal rearrangementsChromosome AberrationsGene RearrangementWhole genome sequencingGeneticsSanger sequencingwhole genome sequencingbiologystructural variationInfantNFIXPhenotype030104 developmental biology[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsintellectual disabilityChild Preschoolbiology.proteinsymbolsFemaleBiomarkers
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An initial comparative map of copy number variations in the goat (Capra hircus) genome

2010

Abstract Background The goat (Capra hircus) represents one of the most important farm animal species. It is reared in all continents with an estimated world population of about 800 million of animals. Despite its importance, studies on the goat genome are still in their infancy compared to those in other farm animal species. Comparative mapping between cattle and goat showed only a few rearrangements in agreement with the similarity of chromosome banding. We carried out a cross species cattle-goat array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the goat genome analysing animals of different breeds (Saanen, Camosciata delle Alpi,…

BreedingGenomePolymerase Chain ReactionSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoMOUSE STRAINSChromosome regionsCapra hircusGOATCopy-number variationANGORA-GOATSGENE-EXPRESSIONGenetics0303 health sciencesComparative Genomic HybridizationGenomeGoatsChromosome Mapping04 agricultural and veterinary sciencesBovine genomeDatabases Nucleic AcidBiotechnologyResearch Articlelcsh:QH426-470DNA Copy Number VariationsSEGMENTAL DUPLICATIONSlcsh:BiotechnologyMolecular Sequence DataBiologyFluorescenceStructural variationPRODUCTION TRAITSBirds03 medical and health sciencesFAMILY BOVIDAEGene mappinglcsh:TP248.13-248.65Sequence Homology Nucleic AcidGeneticsFINE-SCALEAnimalsHumansFalse Positive Reactions030304 developmental biologyCOPY NUMBER VARIATION0402 animal and dairy scienceReproducibility of Results040201 dairy & animal scienceChromosomes MammalianDNA-SEQUENCESSTRUCTURAL VARIATIONlcsh:GeneticsCANDIDATE LOCIcopy number variation goatsCattleComparative genomic hybridizationBMC Genomics
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Credit demand and supply shocks in Italy during the Great Recession

2018

In this article, we use Structural VAR analysis to disentangle credit demand and supply shocks and their effect on real economic activity in Italy during the 2008 to 2014 crisis period. The three endogenous variables considered are the loan interest rate, the loans growth rate and the employment to population ratio. The data are observed at annual frequency for each of 103 Italian provinces. The empirical evidence suggests that the variance of the shocks varies across four Italian macro-regions: North, Centre, South and Islands, and hece heteroscedasticity is used to identify (ex ante) the structural shocks. Sign restrictions are used to interpret shocks ex post. The empirical findings sugg…

Economics and Econometrics050208 financecredit shock05 social sciencesMonetary economicsR11Great recessionSupply and demandStructural VARregional economic activity0502 economics and businessEconomicsidentification through heteroscedasticity050207 economicsE51C32Applied Economics
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