Search results for "QUANTITATIVE TRAIT LOCUS"

showing 10 items of 69 documents

Genetic Basis of Body Color and Spotting Pattern in Redheaded Pine Sawfly Larvae (Neodiprion lecontei)

2018

Abstract Pigmentation has emerged as a premier model for understanding the genetic basis of phenotypic evolution, and a growing catalog of color loci is starting to reveal biases in the mutations, genes, and genetic architectures underlying color variation in the wild. However, existing studies have sampled a limited subset of taxa, color traits, and developmental stages. To expand the existing sample of color loci, we performed QTL mapping analyses on two types of larval pigmentation traits that vary among populations of the redheaded pine sawfly (Neodiprion lecontei): carotenoid-based yellow body color and melanin-based spotting pattern. For both traits, our QTL models explained a substan…

0106 biological sciences0301 basic medicineCandidate geneGenetic LinkageGenome InsectQuantitative Trait LociQuantitative trait locusBiologyInvestigationsevolutionary genetics010603 evolutionary biology01 natural sciencestoukat03 medical and health sciencesQuantitative Trait HeritableGenetic linkageGeneticsGene familyAnimalssahapistiäisetconvergent evolutionDomesticationGeneGenetic Association Studies030304 developmental biologyGenetics0303 health sciencesHuman evolutionary geneticsPigmentationta1184väri (ominaisuudet)carotenoidsChromosome Mappingbiology.organism_classificationgeneettinen muuntelugenetic architectureHymenopteraGenetic architecturekarotenoiditmelaninSawflyNeodiprion lecontei030104 developmental biologyPhenotypeEvolutionary biologyLarvata1181Femalepigmentti (biologia)
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An SNP-based saturated genetic map and QTL analysis of fruit-related traits in Zucchini using Genotyping-by-sequencing

2016

[EN] Background: Cucurbita pepo is a cucurbit with growing economic importance worldwide. Zucchini morphotype is the most important within this highly variable species. Recently, transcriptome and Simple Sequence Repeat (SSR)- and Single Nucleotide Polymorphism (SNP)-based medium density maps have been reported, however further genomic tools are needed for efficient molecular breeding in the species. Our objective is to combine currently available complete transcriptomes and the Zucchini genome sequence with high throughput genotyping methods, mapping population development and extensive phenotyping to facilitate the advance of genomic research in this species. Results: We report the Genoty…

0106 biological sciences0301 basic medicineCartographyCandidate geneGenotyping TechniquesPopulationQuantitative Trait LociGenomicsSingle-nucleotide polymorphismFlowersBiologyQuantitative trait locusGBS01 natural sciencesPolymorphism Single NucleotideCandidate genes03 medical and health sciencesCucurbitaGeneticsGens MapatgeeducationGenotyping TechniquesGeneticsMolecular breedingWhole genome sequencingeducation.field_of_studyPigmentationChromosome MappingRILfood and beveragesGenomicsCucurbita pepoGENETICAGenòmica030104 developmental biologyPhenotypePhenotypingFruitSequence Analysis010606 plant biology & botanyBiotechnologyResearch Article
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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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Gaining Insight into Exclusive and Common Transcriptomic Features Linked to Drought and Salinity Responses across Fruit Tree Crops

2020

The present study aimed at identifying and mapping key genes expressed in root tissues involved in drought and salinity tolerance/resistance conserved among different fruit tree species. Twenty-six RNA-Seq samples were analyzed from six published studies in five plant species (Olea europaea, Vitis riparia Michx, Prunus mahaleb, Prunus persica, Phoenix dactylifera). This meta-analysis used a bioinformatic pipeline identifying 750 genes that were commonly modulated in three salinity studies and 683 genes that were commonly regulated among three drought studies, implying their conserved role in resistance/tolerance/response to these environmental stresses. A comparison was done on the genes th…

0106 biological sciences0301 basic medicinerootsdifferentially expressed genesabiotic stresses differentially expressed genes fruit crops meta-analysis RNA-seq roots transcriptomicsPlant ScienceBiologyQuantitative trait locus01 natural sciencesArticle03 medical and health scienceschemistry.chemical_compoundtranscriptomicsAuxinSettore AGR/07 - Genetica AgrariaBotanyDrug transmembrane transportGeneAbscisic acidEcology Evolution Behavior and Systematicschemistry.chemical_classificationEcologyAbiotic stressBotanyfood and beveragesfruit cropsabiotic stressesSalinitySettore AGR/03 - Arboricoltura Generale E Coltivazioni Arboreemeta-analysis030104 developmental biologychemistryQK1-989RNA-seqFruit tree010606 plant biology & botanyPlants
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Genetic analysis of organoleptic quality in fresh market tomato. 2. Mapping QTLs for sensory attributes

2001

The organoleptic quality of fresh market tomato can be described by a set of attributes, including fruit appearance, taste, aroma and texture. Sensory analysis is the most-valid method to study organoleptic characteristics, particularly aroma and texture. A range of 144 recombinant inbred lines of tomato derived from a cross between a cherry tomato line and a large-fruited line was evaluated by descriptive sensory profiling. Taste was analyzed through sweetness and sourness, and aroma was analyzed through the overall aroma intensity, together with candy, lemon, citrus-fruit and pharmaceutical aroma. Texture was characterized by firmness, meltiness, mealiness, juiciness and difficulty to swa…

0106 biological sciencesOrganoleptic[SDV.GEN] Life Sciences [q-bio]/GeneticsQuantitative trait locus01 natural sciencesSensory analysis03 medical and health sciencesCherry tomatoInbred strainGeneticsFood scienceComputingMilieux_MISCELLANEOUSAroma030304 developmental biology2. Zero hunger[SDV.GEN]Life Sciences [q-bio]/Genetics0303 health sciencesbiologybusiness.industryfungifood and beveragesGeneral MedicineSweetnessbiology.organism_classificationBiotechnologybusinessAgronomy and Crop ScienceSolanaceae010606 plant biology & botanyBiotechnologyTheoretical and Applied Genetics
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Genetic analysis of organoleptic quality in fresh market tomato. 1. Mapping QTLs for physical and chemical traits

2001

Improving organoleptic quality is an important but complex goal for fresh market tomato breeders. A total of 26 traits involved in organoleptic quality variation were evaluated, in order to understand the genetic control of this characteristic. A recombinant inbred line (RIL) population was developed from an intraspecific cross between a cherry tomato line with a good overall aroma intensity and an inbred line with a common taste but with bigger fruits. Physical traits included fruit weight, diameter, color (L,a,b), firmness and elasticity. Chemical traits were dry matter weight, titratable acidity, pH, and the contents of soluble solids, sugars, lycopene, carotene and 12 aroma volatiles. R…

0106 biological sciencesPopulationOrganoleptic[SDV.GEN] Life Sciences [q-bio]/GeneticsQuantitative trait locus01 natural sciencesLycopersicon03 medical and health scienceschemistry.chemical_compoundCherry tomatoBotanyGeneticsDry mattereducationAromaComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hunger0303 health scienceseducation.field_of_study[SDV.GEN]Life Sciences [q-bio]/Geneticsbiologyfood and beveragesGeneral Medicinebiology.organism_classificationLycopeneHorticulturechemistryAgronomy and Crop Science010606 plant biology & botanyBiotechnology
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Next-generation biological control

2020

Biological control is widely successful at controlling pests, but effective biocontrol agents are now more difficult to import from countries of origin due to more restrictive international trade laws (the Nagoya Protocol). Coupled with increasing demand, the efficacy of existing and new biocontrol agents needs to be improved with genetic and genomic approaches. Although they have been underutilised in the past, application of genetic and genomic techniques is becoming more feasible from both technological and economic perspectives. We review current methods and provide a framework for using them. First, it is necessary to identify which biocontrol trait to select and in what direction. Nex…

0106 biological sciencesProteomicsH10 Pests of plantsInternationalityComputer science[SDV]Life Sciences [q-bio]Laboratory of VirologySequence assemblybiological controlmicrobiome01 natural sciencesGenome editinggeneticsNagoya ProtocolLaboratory of EntomologyCYTOPLASMIC INCOMPATIBILITY2. Zero hunger0303 health sciencesQUANTITATIVE TRAIT LOCICommercefood and beveragesCONTROL AGENTSPE&RCBiosystematiekNASONIA-VITRIPENNISGUT CONTENT-ANALYSIS[SDE]Environmental SciencesTraitinsect breedingAXYRIDIS COLEOPTERA-COCCINELLIDAEOriginal ArticleLaboratory of GeneticsLIFE-HISTORY TRAITSGeneral Agricultural and Biological SciencesGenomicsContext (language use)Computational biology[SDV.BID]Life Sciences [q-bio]/Biodiversityartificial selectionQuantitative trait locusAnimal Breeding and GenomicsLaboratorium voor Erfelijkheidsleer010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular BiologyLaboratorium voor Virologiemodelling03 medical and health sciencesgenomics[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyFokkerij en GenomicaPARASITOID WASPSelection (genetic algorithm)modelling.030304 developmental biologySEX DETERMINATIONOriginal ArticlesLaboratorium voor EntomologieWIASgenome assemblyBiosystematicsEPSartificial selection biological control genetics genome assembly genomics insect breeding microbiome modellingBiological Reviews
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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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Fruit size in relation to competition for resources: A common model shared by two species and several genotypes grown under contrasted carbohydrate l…

2012

International audience; Fruit size is one important criterion of fruit external quality affecting consumer acceptance. The effects of seed number on fruit size in two fleshy fruits, grape and tomato, of different genotypes and grown under distinct carbohydrate availability levels were analyzed with a model. The two-parameter model described within-fruit resource competition and was able to well represent the commonly observed decrease in fresh weight per seed along with the increase in number of seeds, regardless of species, genotypes, and carbohydrate levels that were evaluated in this study. However, carbohydrate levels largely modified the correlation between seed number and fresh weight…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesCompetition levelmodel selectionmedia_common.quotation_subjectModel parametersQuantitative trait locusBiologytomatofruit load01 natural sciencessizeCompetition (biology)03 medical and health sciencesquantitative trait locusGenotype[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVitis[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyDomestication030304 developmental biologymedia_common2. Zero hungerresource competition0303 health sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesfungiFresh weightfood and beveragesCarbohydrateHorticultureAgronomyseed010606 plant biology & botany
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