Search results for "QTL"

showing 10 items of 17 documents

Discovery of a Major QTL Controlling Trichome IV Density in Tomato Using K-Seq Genotyping

2021

[EN] Trichomes are a common morphological defense against pests, in particular, type IV glandular trichomes have been associated with resistance against different invertebrates. Cultivated tomatoes usually lack or have a very low density of type IV trichomes. Therefore, for sustainable management of this crop, breeding programs could incorporate some natural defense mechanisms, such as those afforded by trichomes, present in certain Solanum species. We have identified a S. pimpinellifolium accession with very high density of this type of trichomes. This accession was crossed with a S. lycopersicum var. cerasiforme and a S. lycopersicum var. lycopersicum accessions, and the two resulting F2 …

0106 biological sciences0301 basic medicineGenotypelcsh:QH426-470QTLQuantitative Trait LociChromosome 9Genetic relationshiptomatoQuantitative trait locusMorfologia (Biologia)01 natural sciencesTomatoArticleTrichomes type IVCropK-seq03 medical and health sciencesSolanum lycopersicumGeneticsbiochemistryHumansGenotypingGenetics (clinical)Disease ResistancePlant DiseasesGeneticstrichomes type IVbiologyfungiGenètica vegetal<i>Solanum pimpinellifolium</i>Chromosome Mappingfood and beveragesSolanum pimpinellifoliumTrichomesbiology.organism_classificationSolanum pimpinellifoliumTrichomeGENETICAPlant Breedinglcsh:Genetics030104 developmental biologytrichomesSolanum010606 plant biology & botanyGenes
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A Major QTL Located in Chromosome 8 of Cucurbita moschata Is Responsible for Resistance to Tomato Leaf Curl New Delhi Virus

2020

[EN] Tomato leaf curl New Delhi virus (ToLCNDV) is a bipartite whitefly transmitted begomovirus, responsible since 2013 of severe damages in cucurbit crops in Southeastern Spain. Zucchini (Cucurbita pepo) is the most affected species, but melon (Cucumis melo) and cucumber (Cucumis sativus) are also highly damaged by the infection. The virus has spread across Mediterranean basin and European countries, and integrated control measures are not being enough to reduce economic losses. The identification of resistance genes is required to develop resistant cultivars. In this assay, we studied the inheritance of the resistance to ToLCNDV previously identified in two Cucurbita moschata accessions. …

0106 biological sciences0301 basic medicineQTLTomato leaf curl New Delhi virusResistanceBOTANICAPlant ScienceBiologylcsh:Plant culture01 natural sciencesSyntenyresistance03 medical and health sciencesCucurbitalcsh:SB1-1110Original ResearchPlantes MalaltiessyntenyZucchinifood and beveragesbiology.organism_classificationzucchiniVirusGENETICA030104 developmental biologyToLCNDVCucurbita moschataHumanities010606 plant biology & botanyFrontiers in Plant Science
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The WtmsDW Locus on Wheat Chromosome 2B Controls Major Natural Variation for Floret Sterility Responses to Heat Stress at Booting Stage

2021

Heat stress at booting stage causes significant losses to floret fertility (grain set) and hence yield in wheat (Triticum aestivum L.); however, there is a lack of well-characterized sources of tolerance to this type of stress. Here, we describe the genetic analysis of booting stage heat tolerance in a cross between the Australian cultivars Drysdale (intolerant) and Waagan (tolerant), leading to the definition of a major-effect tolerance locus on the short arm of chromosome 2B, Wheat thermosensitive male sterile Drysdale/Waagan (WtmsDW). WtmsDW offsets between 44 and 65% of the losses in grain set due to heat, suggesting that it offers significant value for marker-assisted tolerance breedin…

0106 biological sciencesSterilityQTLLocus (genetics)Plant ScienceQuantitative trait locusBiologylcsh:Plant culturemale sterility01 natural sciencesGenetic analysis03 medical and health sciencesfloret sterilitywheatlcsh:SB1-1110CultivarAllele030304 developmental biologyOriginal Research0303 health sciencesauricle distanceChromosomefood and beveragesheat toleranceDwarfingHorticulture010606 plant biology & botanyFrontiers in Plant Science
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Unravelling the determinants of freezing tolerance in Medicago truncatula: a first step towards improving the response of crop legumes to freezing st…

2020

International audience; Freezing is a major environmental limitation that affects biomass and seed productivity in a large number of crop species including legumes. Medicago truncatula is a model molecular‐genetic system for legume biology. A strategy to decipher freezing tolerance after a cold acclimation period in M. truncatula was developed using a quantitative genetic approach. Three main quantitative trait loci (QTL) with additive effects for freezing damage were detected on chromosomes 1, 4, and 6 using a recombinant inbred line population derived from a cross between the freezing‐tolerant accession F83005‐5 and the freezing‐sensitive accession DZA045‐5. The QTL on chromosome 6, named…

0106 biological sciences[SDE] Environmental SciencesCandidate genequantitative trait loci (QTL)[SDV]Life Sciences [q-bio]PopulationQuantitative trait locus01 natural sciences03 medical and health sciencesMedicago truncatulaCold acclimation[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyCopy-number variationCBF/DREB1 geneseducationGeneComputingMilieux_MISCELLANEOUScool-season crop legumes030304 developmental biologySyntenyGenetics0303 health scienceseducation.field_of_studybiologysyntenyfood and beveragesbiology.organism_classificationMedicago truncatula[SDV] Life Sciences [q-bio]freezing stress[SDE]Environmental Sciencescandidate genes010606 plant biology & botany
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Fine mapping of a QTL on bovine chromosome 6 using imputed full sequence data suggests a key role for the group-specific component (GC) gene in clini…

2016

Background Clinical mastitis is an inflammation of the mammary gland and causes significant costs to dairy production. It is unfavourably genetically correlated to milk production, and, thus, knowledge of the mechanisms that underlie these traits would be valuable to improve both of them simultaneously through breeding. A quantitative trait locus (QTL) that affects both clinical mastitis and milk production has recently been fine-mapped to around 89 Mb on bovine chromosome 6 (BTA6), but identification of the gene that underlies this QTL was not possible due to the strong linkage disequilibrium between single nucleotide polymorphisms (SNPs) within this region. Our aim was to identify the gen…

0301 basic medicineCandidate gene[SDV]Life Sciences [q-bio]Quantitative Trait LociSingle-nucleotide polymorphismBiologyQuantitative trait locusPolymorphism Single NucleotideLinkage Disequilibrium03 medical and health sciencesMammary Glands AnimalFamily-based QTL mappingGene FrequencyGene duplicationGeneticsAnimalsLactationGenetics(clinical)AlleleGeneMastitis BovineAllelesEcology Evolution Behavior and SystematicsGenetic association2. Zero hungerGeneticsVitamin D-Binding ProteinChromosome MappingGeneral MedicineSequence Analysis DNA030104 developmental biologyMilkHaplotypesCattleFemaleAnimal Science and ZoologyResearch Article
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Mapping quantitative trait loci affecting biochemical and morphological fruit properties in eggplant (Solanum melongena L.)

2016

Eggplant berries are a source of health-promoting metabolites including antioxidant and nutraceutical compounds, mainly anthocyanins and chlorogenic acid; however, they also contain some anti-nutritional compounds such as steroidal glycoalkaloids (SGA) and saponins, which are responsible for the bitter taste of the flesh and with potential toxic effects on humans. Up to now, Quantitative Trait Loci (QTL) for the metabolic content are far from being characterized in eggplant, thus hampering the application of breeding programs aimed at improving its fruit quality. Here we report on the identification of some QTL for the fruit metabolic content in an F2 intraspecific mapping population of 156…

Anthocyanin0106 biological sciences0301 basic medicineQTLSettore AGR/13 - Chimica AgrariaPopulationSolasonineSettore AGR/04 - Orticoltura E FloricolturaPlant ScienceQuantitative trait locuslcsh:Plant culture01 natural sciencesBioactive compoundsAnthocyanins03 medical and health scienceschemistry.chemical_compoundGlycoalkaloidChlorogenic acidBotanylcsh:SB1-1110educationSolanaceaeOriginal Researcheducation.field_of_studyFruit qualitybiologyFleshAnthocyanins; Bioactive compounds; Chlorogenic acid; Fruit quality; Glycoalkaloid; QTL; Solanaceae; Plant Sciencefood and beveragesChlorogenic acidbiology.organism_classification030104 developmental biologychemistryGlycoalkaloidBioactive compoundSolanumSolanaceae010606 plant biology & botany
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Quantitative trait loci affecting the 3D skull shape and size in mouse and prioritization of candidate genes in-silico.

2015

13 pages; International audience; We describe the first application of high-resolution 3D micro-computed tomography, together with 3D landmarks and geometric morphometrics, to map QTL responsible for variation in skull shape and size using a backcross between C57BL/6J and A/J inbred strains. Using 433 animals, 53 3D landmarks, and 882 SNPs from autosomes, we identified seven QTL responsible for the skull size (SCS.qtl) and 30 QTL responsible for the skull shape (SSH.qtl). Size, sex, and direction-of-cross were all significant factors and included in the analysis as covariates. All autosomes harbored at least one SSH.qtl, sometimes up to three. Effect sizes of SSH.qtl appeared to be small, r…

Candidate genePhysiologySingle-nucleotide polymorphismBiologyQuantitative trait locuslcsh:Physiology[ SDV.BDD.MOR ] Life Sciences [q-bio]/Development Biology/MorphogenesisFamily-based QTL mapping3D imagingPhysiology (medical)medicinegeometric morphometricsskull shapeOriginal ResearchGeneticsMorphometricsAutosomelcsh:QP1-981food and beverages[SDV.BDD.MOR]Life Sciences [q-bio]/Development Biology/Morphogenesis[ SDV.GEN.GA ] Life Sciences [q-bio]/Genetics/Animal geneticsmultivariate QTL mappingcandidate gene enrichmentSkull[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal geneticsmedicine.anatomical_structureNeurocranium
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The peach volatilome modularity is reflected at the genetic and environmental response levels in a QTL mapping population

2014

Background: The improvement of fruit aroma is currently one of the most sought-after objectives in peach breeding programs. To better characterize and assess the genetic potential for increasing aroma quality by breeding, a quantity trait locus (QTL) analysis approach was carried out in an F-1 population segregating largely for fruit traits. Results: Linkage maps were constructed using the IPSC peach 9 K Infinium (R) II array, rendering dense genetic maps, except in the case of certain chromosomes, probably due to identity-by-descent of those chromosomes in the parental genotypes. The variability in compounds associated with aroma was analyzed by a metabolomic approach based on GC-MS to pro…

FitomejoramientoVolatile CompoundsGenotyping TechniquesQuantitative Trait LociPopulationLocus (genetics)Plant ScienceBreedingEnvironmentQuantitative trait locusPolymorphism Single NucleotideCompuesto VolátilPrunusMetabolomicsQTL (Quantitative Trait Loci)Databases GeneticGenotypeCluster AnalysisPrunus PersicaGene Regulatory NetworkseducationAromaAromaLoci de Rasgos CuantitativosGeneticsPrincipal Component AnalysisVolatile Organic Compoundseducation.field_of_studybiologyDuraznoChromosome Mappingfood and beveragesbiology.organism_classificationPlant BreedingFruitPeachesMetabolomeTraitPrunusLod ScoreResearch ArticleBMC Plant Biology
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Genetic variability at neutral markers, quantitative trait loci and trait in a subdivided population under selection

2003

Abstract Genetic variability in a subdivided population under stabilizing and diversifying selection was investigated at three levels: neutral markers, QTL coding for a trait, and the trait itself. A quantitative model with additive effects was used to link genotypes to phenotypes. No physical linkage was introduced. Using an analytical approach, we compared the diversity within deme (HS) and the differentiation (FST) at the QTL with the genetic variance within deme (VW) and the differentiation (QST) for the trait. The difference between FST and QST was shown to depend on the relative amounts of covariance between QTL within and between demes. Simulations were used to study the effect of se…

Genetic Markers0106 biological sciencesGenotypeQuantitative Trait LociPopulation[SDV.GEN] Life Sciences [q-bio]/GeneticsQuantitative trait locusBiology010603 evolutionary biology01 natural sciences03 medical and health sciencesFamily-based QTL mappingGeneticsComputer SimulationGenetic variabilitySelection Genetic10. No inequalityeducationSelection (genetic algorithm)ComputingMilieux_MISCELLANEOUS030304 developmental biologyDemeGenetics0303 health scienceseducation.field_of_study[SDV.GEN]Life Sciences [q-bio]/GeneticsModels GeneticDisruptive selectionGenetic VariationGenetic architectureGenetics PopulationPhenotypeEvolutionary biologyResearch Article
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Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults

2018

Background: DNA methylation at the GFI1-locus has been repeatedly associated with exposure to smoking from the foetal period onwards. We explored whether DNA methylation may be a mechanism that links exposure to maternal prenatal smoking with offspring's adult cardio-metabolic health.Methods: We meta-analysed the association between DNA methylation at GFI1-locus with maternal prenatal smoking, adult own smoking, and cardio-metabolic phenotypes in 22 population-based studies from Europe, Australia, and USA (n= 18,212). DNA methylation at the GFI1-locus was measured in whole-blood. Multivariable regression models were fitted to examine its association with exposure to prenatal and own adult s…

Genetics and Molecular Biology (all)MaleNetherlands Twin Register (NTR)0301 basic medicineResearch paperGFI1 protein humanGFI1-locusraskausResearch & Experimental Medicinecardio-metabolic phenotypesBiochemistryEpigenesis GeneticGLOBAL Meth QTL Consortium0302 clinical medicinePregnancySmoke030212 general & internal medicinematernal prenatal smokingDNA METHYLATIONmedia_commonRISK2. Zero hungereducation.field_of_studySmokingta3142General MedicineMiddle Agedgenetics [Transcription Factors]3. Good healthDNA-Binding ProteinsPhenotypeMedicine Research & ExperimentalCARDIOVASCULAR-DISEASEepigenetiikkaPopulation SurveillancePrenatal Exposure Delayed EffectsDNA methylation/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleDisease SusceptibilityBIOS ConsortiumMedical GeneticsLife Sciences & BiomedicineAdultmedicine.medical_specialtyOffspringBirth weightPopulationMothersgenetics [DNA-Binding Proteins]ta3111MethylationGeneral Biochemistry Genetics and Molecular BiologyDIET03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingtupakointiGeneral & Internal MedicineInternal medicine/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_medicinemedia_common.cataloged_instanceHumansddc:610adverse effects [Maternal Exposure]EXPOSUREEpigeneticsEuropean unioneducationMedicinsk genetikEPIGENOME-WIDE ASSOCIATIONPregnancyBiochemistry Genetics and Molecular Biology (all)Science & Technologybusiness.industryadverse effects [Smoking]DNA Methylationta3121medicine.diseaseBIRTH-WEIGHT030104 developmental biologyEndocrinologyGenetic Locisydän- ja verisuonitauditCpG IslandsCIGARETTE-SMOKINGCESSATIONEnergy Metabolismmetabolism [Myocardium]businessBody mass indexBiomarkersTranscription FactorsEBioMedicine
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