Search results for " genomi"

showing 10 items of 572 documents

Functional genomics of arbuscular mycorrhiza : decoding the symbiotic cell programme

2004

More extensive insight into plant genes involved in the symbiotic programme of arbuscular mycorrhiza is presently being achieved by global approaches that aim to discover novel genes or subsets of genes that are essential to cell programmes in the different steps of plant–fungal interactions. The strategy of functional genomics based on large-scale differential RNA expression analyses (differential-display reverse transcriptase - PCR), electronic Northerns, suppressive subtractive hybridization, DNA chips) is presented, with a focus on arbuscular mycorrhiza in Pisum sativum and Medicago truncatula. The most recent knowledge about gene networks that are modulated in roots during arbuscular …

0106 biological sciencesGene regulatory networkPlant Science01 natural sciences[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics03 medical and health sciencesGene expressionBotanyGeneComputingMilieux_MISCELLANEOUS030304 developmental biology2. Zero hungerLUERNE0303 health sciencesbiologyfungifood and beverages[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanicsbiology.organism_classificationMedicago truncatulaGENOMIQUEArbuscular mycorrhizaSuppression subtractive hybridizationDNA microarrayFunctional genomics010606 plant biology & botany
researchProduct

Demosponge EST sequencing reveals a complex genetic toolkit of the simplest metazoans.

2010

Sponges (Porifera) are among the simplest living and the earliest branching metazoans. They hold a pivotal role for studying genome evolution of the entire metazoan branch, both as an outgroup to Eumetazoa and as the closest branching phylum to the common ancestor of all multicellular animals (Urmetazoa). In order to assess the transcription inventory of sponges, we sequenced expressed sequence tag libraries of two demosponge species, Suberites domuncula and Lubomirskia baicalensis, and systematically analyzed the assembled sponge transcripts against their homologs from complete proteomes of six well-characterized metazoans--Nematostella vectensis, Caenorhabditis elegans, Drosophila melanog…

0106 biological sciencesGenome evolutionanimal structuresMolecular Sequence Datacomparative genomicsBiologyLubomirskia baicalensis010603 evolutionary biology01 natural sciencesGenomeEvolution Molecular03 medical and health sciencesGeneticsAnimalsCiona intestinalisMolecular BiologyGeneEcology Evolution Behavior and SystematicsPhylogenyResearch Articles030304 developmental biologymetazoan evolution; comparative genomics; genome complexity; Suberites domuncula; Lubomirskia baicalensisComparative genomicsGeneticsExpressed Sequence Tags0303 health sciencesComparative Genomic HybridizationGenomegenome complexityBase SequenceSequence Homology Amino Acidmetazoan evolutionbiology.organism_classificationSuberites domunculaEumetazoaPoriferaSuberites domunculaGene Expression RegulationSuberitesSequence AlignmentSuberitesMolecular biology and evolution
researchProduct

Antibiotics accelerate growth at the expense of immunity

2021

Antibiotics have long been used in the raising of animals for agricultural, industrial or laboratory use. The use of subtherapeutic doses in diets of terrestrial and aquatic animals to promote growth is common and highly debated. Despite their vast application in animal husbandry, knowledge about the mechanisms behind growth promotion is minimal, particularly at the molecular level. Evidence from evolutionary research shows that immunocompetence is resource-limited, and hence expected to trade off with other resource-demanding processes, such as growth. Here, we ask if accelerated growth caused by antibiotics can be explained by genome-wide trade-offs between growth and costly immunocompete…

0106 biological sciencesHOSTAntibioticsINSECTSDIVERSITYmicrobiomeMothsTrade-offkarjanhoito01 natural sciencesantibioticsimmunologiaINFECTIONgeeniekspressioLife History TraitsResearch ArticlesGeneral Environmental ScienceBODY-SIZE2. Zero hunger0303 health sciencesantibiootitTRADE-OFFSGeneral MedicineAnimal husbandryBiological EvolutionLEPIDOPTERAAccelerated GrowthAnti-Bacterial AgentsWARNING COLORATIONimmuunijärjestelmäLarvaeläimetBACTERIAImmunocompetenceGeneral Agricultural and Biological SciencesRNA-interferenssimedicine.drug_classjalostusZoologykotieläintuotantoBiology010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesImmune systemgrowth promotionImmunityPARASEMIAmedicineAnimalsMicrobiomeimmunity trade-off1172 Environmental sciences030304 developmental biologygeenitGeneral Immunology and MicrobiologyGenetics and Genomicsmikrobisto3111 Biomedicine
researchProduct

Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions

2009

46 pages, 4 tables, 6 figures, 3 additinoal files.

0106 biological sciencesMESH: Genome PlantArabidopsis thalianaGene regulatory networkArabidopsis01 natural sciencesTranscriptomeGene Expression Regulation PlantArabidopsisMESH: Gene Expression Regulation DevelopmentalCluster AnalysisGene Regulatory NetworksMESH: ArabidopsisMESH: EcosystemMESH: Models GeneticOligonucleotide Array Sequence AnalysisMESH: Gene Regulatory NetworksGenetics0303 health sciencesMESH: Stress MechanicalbiologyMESH: Genomicsfood and beveragesGene Expression Regulation DevelopmentalGenomicsPhenotypeAlgorithmsGenome PlantMESH: MutationSystems biologyGenomicsMESH: AlgorithmsComputational biologyMESH: Arabidopsis ProteinsMESH: Phenotype03 medical and health sciencesMESH: Gene Expression Profiling[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Gene Expression Regulation PlantEcosystem030304 developmental biologyModels GeneticMicroarray analysis techniquesArabidopsis ProteinsGene Expression ProfilingResearchfungiRobustness (evolution)biology.organism_classificationMESH: Cluster AnalysisGene expression profilingMutationMESH: Oligonucleotide Array Sequence AnalysisStress Mechanical010606 plant biology & botany
researchProduct

The Chlamydomonas genome reveals the evolution of key animal and plant functions

2007

Chlamydomonas reinhardtii is a unicellular green alga whose lineage diverged from land plants over 1 billion years ago. It is a model system for studying chloroplast-based photosynthesis, as well as the structure, assembly, and function of eukaryotic flagella (cilia), which were inherited from the common ancestor of plants and animals, but lost in land plants. We sequenced the ∼120-megabase nuclear genome of Chlamydomonas and performed comparative phylogenomic analyses, identifying genes encoding uncharacterized proteins that are likely associated with the function and biogenesis of chloroplasts or eukaryotic flagella. Analyses of the Chlamydomonas genome advance our understanding of the a…

0106 biological sciencesMESH: Sequence Analysis DNAMESH: Algal ProteinsChloroplastsProteomeMESH: PlantsChlamydomonas reinhardtii01 natural sciencesGenomeMESH: Membrane Transport ProteinsDNA AlgalMESH: DNA AlgalMESH: AnimalsGoniumPhotosynthesisMESH: PhylogenyMESH: PhotosynthesisPhylogenyGenetics0303 health sciencesGenomeMultidisciplinarybiologyMESH: Genomicsfood and beveragesGenomicsPlantsBiological EvolutionMESH: Genes[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biomolecules [q-bio.BM]MESH: ProteomeFlagellaMultigene FamilyMESH: Computational BiologyMESH: Chlamydomonas reinhardtiiNuclear geneMolecular Sequence Data[SDV.BC]Life Sciences [q-bio]/Cellular BiologyFlagellumMESH: FlagellaArticle03 medical and health sciencesIntraflagellar transportMESH: EvolutionAnimalsMESH: Genome[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Gene[SDV.BC] Life Sciences [q-bio]/Cellular Biology030304 developmental biologyMESH: Molecular Sequence DataMESH: ChloroplastsAlgal ProteinsChlamydomonasComputational BiologyMembrane Transport ProteinsSequence Analysis DNAbiology.organism_classificationGenesMESH: Multigene FamilyChlamydomonas reinhardtii010606 plant biology & botany
researchProduct

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
researchProduct

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
researchProduct

A technical trick for studying proteomics in parallel to transcriptomics in symbiotic root-fungus interactions

2004

We have developed a protocol in which proteins and mRNA can be analyzed from single root samples. This experimental design was validated in arbuscular mycorrhiza by comparing the proteins profiles obtained with those from a classical protein extraction process. It is a step forward to make simultaneous proteome and transcriptiome profiling possible.

0106 biological sciencesProteomeComputational biologyFungusProteomicsPlant Roots01 natural sciencesBiochemistryFungal ProteinsTranscriptome03 medical and health sciencesGene Expression Regulation PlantMycorrhizaeBotanyProtein purificationMedicago[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyElectrophoresis Gel Two-Dimensional[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyRNA MessengerSymbiosisMolecular BiologyComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesbiologyGene Expression Profilingfungibiology.organism_classificationGENOMIQUEMedicago truncatulaArbuscular mycorrhizaProteomeFunctional genomics010606 plant biology & botanyPROTEOMICS
researchProduct

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
researchProduct

A Network Model for the Correlation between Epistasis and Genomic Complexity

2008

The study of genetic interactions (epistasis) is central to the understanding of genome organization and evolution. A general correlation between epistasis and genomic complexity has been recently shown, such that in simpler genomes epistasis is antagonistic on average (mutational effects tend to cancel each other out), whereas a transition towards synergistic epistasis occurs in more complex genomes (mutational effects strengthen each other). Here, we use a simple network model to identify basic features explaining this correlation. We show that, in small networks with multifunctional nodes, lack of redundancy, and absence of alternative pathways, epistasis is antagonistic on average. In c…

0106 biological sciencesSilent mutationGenome evolutionDNA Mutational Analysislcsh:MedicineBiology010603 evolutionary biology01 natural sciencesGenomeModels BiologicalCorrelation03 medical and health sciencesComputational Biology/Metabolic NetworksGenetics and Genomics/Population GeneticsAnimalsHumanslcsh:Science030304 developmental biologyGenomic organization0303 health sciencesEvolutionary BiologyMultidisciplinaryComputational Biology/Systems BiologyGenomeEvolutionary Biology/Evolutionary and Comparative GeneticsModels GeneticHuman evolutionary geneticsSystems Biologylcsh:RRobustness (evolution)Computational BiologyGenetics and GenomicsEpistasis GeneticGenomicsModels TheoreticalEvolutionary biologyMutationEpistasislcsh:QAlgorithmsResearch ArticlePLoS ONE
researchProduct