Search results for "Animal Breeding and Genomics"

showing 10 items of 18 documents

Covariation and phenotypic integration in chemical communication displays: biosynthetic constraints and eco-evolutionary implications

2018

Chemical communication is ubiquitous. The identification of conserved structural elements in visual and acoustic communication is well established, but comparable information on chemical communication displays (CCDs) is lacking. We assessed the phenotypic integration of CCDs in a meta‐analysis to characterize patterns of covariation in CCDs and identified functional or biosynthetically constrained modules. Poorly integrated plant CCDs (i.e. low covariation between scent compounds) support the notion that plants often utilize one or few key compounds to repel antagonists or to attract pollinators and enemies of herbivores. Animal CCDs (mostly insect pheromones) were usually more integrated t…

0106 biological sciences0301 basic medicineEco evolutionaryanalysisPhysiologyPlant ScienceAnimal Breeding and GenomicsBiologyfloral scentsChemical communicationFloral scentsphenotypic integration010603 evolutionary biology01 natural sciencesChemical communication03 medical and health sciencesPhenotypic integrationbiosynthetic constraintsFokkerij en Genomicavegetative scentsLaboratory of Entomologycorrelation networkEcologyOrganic Chemistrychemical communicationPhenotypic integrationInsect pheromonesPE&RCLaboratorium voor Entomologiecorrelation network analysisOrganische ChemieCorrelation network analysisBiosynthetic constraints030104 developmental biologyEvolutionary biologyinternationalFloral scentIdentification (biology)EPSVegetative scentsNew Phytologist
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Low but contrasting neutral genetic differentiation shaped by winter temperature in European great tits.

2016

Gene flow is usually thought to reduce genetic divergence and impede local adaptation by homogenising gene pools between populations. However, evidence for local adaptation and phenotypic differentiation in highly mobile species, experiencing high levels of gene flow, is emerging. Assessing population genetic structure at different spatial scales is thus a crucial step towards understanding mechanisms underlying intraspecific differentiation and diversification. Here, we studied the population genetic structure of a highly mobile species - the great tit Parus major - at different spatial scales. We analysed 884 individuals from 30 sites across Europe including 10 close-by sites (< 50 km), u…

0106 biological sciences0301 basic medicineSELECTIONZOOLOGIA[SDV]Life Sciences [q-bio]FLOWSOFTWARE01 natural sciencesmicrosatellitesBehavioral EcologyLOCAL ADAPTATIONParus majorComputingMilieux_MISCELLANEOUSeducation.field_of_studyLatitudeCLIMATE-CHANGEEcologyIsolation-by-distancelatitudePE&RCGedragsecologieWILD BIRD POPULATIONinternationalGenetic structureGene poolwinter severityPopulationAnimal Breeding and GenomicsBiologyPARUS-MAJOR010603 evolutionary biology03 medical and health sciencesPopulation genetic structureFokkerij en GenomicaMicrosatelliteseducationBiologyEcology Evolution Behavior and SystematicsLocal adaptationIsolation by distanceisolation-by-distance[SDV.GEN]Life Sciences [q-bio]/GeneticsGenetic diversityF-statisticsGenetic divergenceWinter severity030104 developmental biologyPARTIAL MIGRATIONF-statisticsNATAL DISPERSALRE-IMPLEMENTATIONWIAS570 Life sciences; biologyta1181Biological Journal of the Linnean Society
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The preference and costs of sleeping under light at night in forest and urban great tits

2019

Artificial light at night (ALAN) is an increasing phenomenon associated with worldwide urbanization. In birds, broad-spectrum white ALAN can have disruptive effects on activity patterns, metabolism, stress response and immune function. There has been growing research on whether the use of alternative light spectra can reduce these negative effects, but surprisingly, there has been no study to determine which light spectrum birds prefer. To test such a preference, we gave urban and forest great tits (Parus major) the choice where to roost using pairwise combinations of darkness, white light or green dim light at night (1.5 lux). Birds preferred to sleep under artificial light instead of dar…

0106 biological sciencesMaleLight pollutionForestsartificial light at night01 natural sciencesoxalic acidSleep debtOxalic acidParus majorPasseriformesGeneral Environmental Sciencevuorokausirytmi0303 health sciencesbiologyBehavior Animallight pollutionGeneral MedicinetalitiainenPE&RCSleep in non-human animalsPreferenceCircadian RhythmLight pollutioninternationalMAMMALSDarknessFemalekaupungistuminenGeneral Agricultural and Biological SciencesBEHAVIORenergiankulutus (aineenvaihdunta)ZoologyurbanizationAnimal Breeding and Genomics010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular Biologyuni (lepotila)03 medical and health sciencesBiointeractions and Plant HealthAnimalsCOLORBehaviourFokkerij en GenomicaCircadian rhythmsleepPHYSIOLOGYARTIFICIAL-LIGHTLighting030304 developmental biologyParusWhite (horse)BIRDSGeneral Immunology and MicrobiologyINTENSITYMEMORYUrbanizationPERFORMANCEbiology.organism_classificationvalosaasteEnergy MetabolismEnvironmental PollutionSleepArtificial light at nightALTERS
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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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Ancient pigs reveal a near-complete genomic turnover following their introduction to Europe

2019

International audience; Archaeological evidence indicates that pig domestication had begun by ∼10,500 y before the present (BP) in the Near East, and mitochondrial DNA (mtDNA) suggests that pigs arrived in Europe alongside farmers ∼8,500 y BP. A few thousand years after the introduction of Near Eastern pigs into Europe, however, their characteristic mtDNA signature disappeared and was replaced by haplotypes associated with European wild boars. This turnover could be accounted for by substantial gene flow from local Euro-pean wild boars, although it is also possible that European wild boars were domesticated independently without any genetic contribution from the Near East. To test these hyp…

0301 basic medicineSwine[SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropologySkin Pigmentation[SHS]Humanities and Social SciencesGene flowDomesticationddc:590BREEDSDOMESTIC PIGS/dk/atira/pure/subjectarea/asjc/1000HISTORY0601 history and archaeologyNeolithicHistory AncientPhylogenyMultidisciplinary060102 archaeologyINTROGRESSIONEurope ; pigs ; domestication ; genomesWILD06 humanities and the artsArchaeological evidenceGene flowEuropeSPREADCoatMitochondrial DNAEvolutionZoology930Locus (genetics)BiologyAnimal Breeding and GenomicsDNA MitochondrialMiddle East03 medical and health sciencesAnimalsFokkerij en GenomicaDNA AncientGeneralDomesticationddc:930HaplotypeDNA900 Geschichte und Geografie::930 Geschichte des Altertums (bis ca. 499) Archäologie::930 Geschichte des Altertums bis ca. 499 ArchäologieLONGSIZE030104 developmental biologydomestication evolution gene flow NeolithicWIAS
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Pig domestication and human-mediated dispersal in western Eurasia revealed through ancient DNA and geometric morphometrics.

2013

Zooarcheological evidence suggests that pigs were domesticated in Southwest Asia ∼8,500 BC. They then spread across the Middle and Near East and westward into Europe alongside early agriculturalists. European pigs were either domesticated independently or more likely appeared so as a result of admixture between introduced pigs and European wild boar. As a result, European wild boar mtDNA lineages replaced Near Eastern/Anatolian mtDNA signatures in Europe and subsequently replaced indigenous domestic pig lineages in Anatolia. The specific details of these processes, however, remain unknown. To address questions related to early pig domestication, dispersal, and turnover in the Near East, we …

MESH: Sequence Analysis DNAsequence analysisSwineSus scrofa[SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropologyinsightsshapephylogeography01 natural sciences11. SustainabilityexpansionsMESH: AnimalswildNeolithicMESH: Swineagriculture0303 health sciencesKUL-METH-ArchaeologyMESH: AsiaPig domesticationmitochondrialEuropeDomestic pigMESH: PhylogeographyAnimals DomestichistoryMESH: Molareuropewild boar010506 paleontologyKUL-CoE-CASoriginsAsialikelihoodneolithic; phylogeography; pig domestication; wild boar; animal distribution; animals; animals domestic; Asia; DNA mitochondrial; Europe; humans; molar; phylogeography; sequence analysis DNA; Sus scrofa; SwineZoologypig domesticationfarmersBiologyNeolithic.Animal Breeding and GenomicsSettore BIO/08Wild boarDNA Mitochondrial03 medical and health sciencesWild boarBronze Agebiology.animalGeneticsdomesticAnimalsHumansFokkerij en GenomicaMESH: Animals DomesticDomesticationMolecular BiologyEcology Evolution Behavior and SystematicsDiscoveries030304 developmental biology0105 earth and related environmental sciencesMESH: Humans[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]MESH: Animal DistributionMESH: DNA MitochondrialDNASequence Analysis DNAMolarMESH: Sus scrofaAncient DNAIron AgeWIASBiological dispersalMESH: EuropeAnimal DistributionChronology
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GeneticParameters for Milk Somatic Cell Score and Relationships with Production Traits in Primparous Dairy Sheep

2007

A total of 13,066 first-lactation test-day records of 2,277 Valle del Belice ewes from 17 flocks were used to estimate genetic parameters for somatic cell scores (SCS) and milk production traits, using a repeatability test-day animal model. Heritability estimates were low and ranged from 0.09 to 0.14 for milk, fat, and protein yields, and contents. For SCS, the heritability of 0.14 was relatively high. The repeatabilities were moderate and ranged from 0.29 to 0.47 for milk production traits. The repeatability for SCS was 0.36. Flock-test-day explained a large proportion of the variation for milk production traits, but it did not have a big effect on SCS. The genetic correlations of fat and …

MaleVeterinary medicineSomatic cellyieldsselectionBiologyAnimal Breeding and Genomicsheritabilitydairy sheepgenetic parameterAnimal scienceAnimal modelPregnancyfatGenetic variationGeneticsAnimalsLactationFokkerij en Genomicamilk productionlactation curvesSheepModels Geneticintegumentary systemsomatic cell countGenetic VariationewesHeritabilityMilk productionDairyingParityMilkPhenotypenervous systemcountprotein percentagemastitis resistanceTraitWIASAnimal Science and ZoologyFemaleFlockanimal-modelSomatic cell counttissuesFood Science
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Effects of different simplified milk recording methods on genetic evaluation with Test-Day animal model

2007

The aims of the present study were to compare estimated breeding values (EBV) for milk yield using different testing schemes with a test-day animal model and to evaluate the effect of different testing schemes on the ranking of top sheep. Alternative recording schemes that use less information than that currently obtained with a monthly test-day schedule were employed to estimate breeding values. A random regression animal mixed model that used a spline function of days in milk was fitted. EBVs obtained with alternative recording schemes showed different degrees of Spearman correlation with EBVs obtained using the monthly recording scheme. These correlations ranged from 0.77 to 0.92. A redu…

Mixed modelSchedulerecording schemesTest-Days Genetic Evaluation Recording SchemesAnimal Breeding and GenomicsSpearman's rank correlation coefficientgenetic evaluationSettore AGR/17 - Zootecnica Generale E Miglioramento Geneticorandom regression-modelsAnimal modelRankingTest dayRandom regressionStatisticsWIASsplinesFokkerij en GenomicaAnimal Science and Zoologylcsh:Animal culturetest-daysSelection (genetic algorithm)lcsh:SF1-1100MathematicsItalian Journal of Animal Science
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Receiver-operating characteristic curves for somatic cell scores and California mastitis test in Valle del Belice dairy sheep.

2013

Using receiver-operating characteristic (ROC) curve methodology this study was designed to assess the diagnostic effectiveness of somatic cell count (SCC) and the California mastitis test (CMT) in Valle del Belice sheep, and to propose and evaluate threshold values for those tests that would optimally discriminate between healthy and infected udders. Milk samples (n = 1357) were collected from 684 sheep in four flocks. The prevalence of infection, as determined by positive bacterial culture was 0.36, 87.7% of which were minor and 12.3% major pathogens. Of the culture negative samples, 83.7% had an SCC < 500,000/mL and 97.4% had <1,000,000 cells/mL. When the associations between SC score (SC…

Receiver-operating characteristic curveSomatic cell countVeterinary medicineMicrobiological cultureroc analysisPopulationSheep DiseasesAnimal Breeding and GenomicsIntramammary infectionintramammary infectionscowsSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoMedicineAnimalsFokkerij en GenomicaUddereducationsubclinical mastitiseducation.field_of_studySheepGeneral VeterinaryReceiver operating characteristicbusiness.industryArea under the curveareasewesDairyingmedicine.anatomical_structureMilkcountudderWIASAnimal Science and ZoologyFemaleFlockbusinessSomatic cell countCalifornia mastitis testmilk-compositionVeterinary journal (London, England : 1997)
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Connecting the data landscape of long-term ecological studies: the SPI-Birds data hub

2021

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and eco-logical processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change).

SELECTION0106 biological sciencesZOOLOGIADatabases Factual05 Environmental Sciences:Zoology and botany: 480 [VDP]Research network01 natural scienceslong‐term studiesBehavioral EcologyData standardsmeta‐data standardsData hubComputingMilieux_MISCELLANEOUSResearch Articlesmeta‐PERSONALITYCLIMATE-CHANGEEcologyEnvironmental resource managementALTERmeta&#8208birds data standards database FAIR data long-term studies meta-data standards research networkPE&RCGedragsecologieChemistryGeographyinternational[SDE]Environmental Sciences1181 Ecology evolutionary biologyPOPULATIONSPlan_S-Compliant_OALife Sciences & Biomedicinelong‐Research ArticleCLUTCH-SIZELong-term studiesEnvironmental Sciences & EcologyAnimal Breeding and GenomicsZoologi15.- Proteger restaurar y promover la utilización sostenible de los ecosistemas terrestres gestionar de manera sostenible los bosques combatir la desertificación y detener y revertir la degradación de la tierra y frenar la pérdida de diversidad biológica010603 evolutionary biologyBirdsDatabase07 Agricultural and Veterinary Sciencesddc:570VDP::Mathematics and natural scienses: 400::Zoology and botany: 480AnimalsFokkerij en Genomica:Zoologiske og botaniske fag: 480 [VDP]BiologyEcology Evolution Behavior and SystematicsMeta-data standardsMetadataFAIR dataScience & Technologylong&#8208business.industry010604 marine biology & hydrobiology06 Biological Sciences15. Life on landdatabase ; meta-data standards ; long-term studies ; birds ; data standards ; FAIR data ; research networkEVOLUTIONTerm (time)13. Climate actionResearch councilVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480Animal Science and Zoologyterm studiesGREAT TITSbusinessZoologybirds ; data standards ; database ; FAIR data ; long-term studies ; meta-data standards ; research networkRESPONSES
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