Search results for "COMPUTATION"

showing 10 items of 7362 documents

SHAPE MATTERS: EFFECT OF POINT MUTATIONS ON RNA SECONDARY STRUCTURE

2013

A suitable model to dive into the properties of genotype-phenotype landscapes is the relationship between RNA sequences and their corresponding minimum free energy secondary structures. Relevant issues related to molecular evolvability and robustness to mutations have been studied in this framework. Here, we analyze the one-mutant neighborhood of the predicted secondary structure of 46 different RNAs, including tRNAs, viroids, larger molecules such as Hepatitis-δ virus, and several random sequences. The probability distribution of the effect of point mutations in linear structural motifs of the secondary structure is well fit by Pareto or Lognormal probability distributions functions, indep…

0106 biological sciencesGenetics0303 health sciencesPoint mutationRNARobustness (evolution)Computational biologyBiology010603 evolutionary biology01 natural sciencesNucleic acid secondary structureEvolvability03 medical and health sciencesControl and Systems EngineeringProbability distributionStructural motifRNA secondary structure sequence-structure map mutational effects linear motifsProtein secondary structure030304 developmental biologyAdvances in Complex Systems
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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
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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
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Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks

2019

Abstract The Common Fisheries Policy of the European Union aims to exploit fish stocks at a level of Maximum Sustainable Yield by 2020 at the latest. At the Mediterranean level, the General Fisheries Commission for the Mediterranean (GFCM) has highlighted the importance of reversing the observed declining trend of fish stocks. In this complex context, it is important to obtain reliable biomass estimates to support scientifically sound advice for sustainable management of marine resources. This paper presents a machine learning methodology for the classification of pelagic species schools from acoustic and environmental data. In particular, the methodology was tuned for the recognition of an…

0106 biological sciencesMarine conservationMaximum sustainable yieldFish stockFish school010603 evolutionary biology01 natural sciencesAcoustic surveyEnvironmental dataAnchovymedia_common.cataloged_instanceEuropean unionEcology Evolution Behavior and Systematicsmedia_commonEcologybiologySettore INF/01 - Informaticabusiness.industry010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingEnvironmental resource managementPelagic zonebiology.organism_classificationClassificationComputer Science ApplicationsGeographyComputational Theory and MathematicsFishing industryModeling and SimulationbusinessNeural networks
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Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes

2008

The rate of mutation is central to evolution. Mutations are required for adaptation, yet most mutations with phenotypic effects are deleterious. As a consequence, the mutation rate that maximizes adaptation will be some intermediate value. Here, we used digital organisms to investigate the ability of natural selection to adjust and optimize mutation rates. We assessed the optimal mutation rate by empirically determining what mutation rate produced the highest rate of adaptation. Then, we allowed mutation rates to evolve, and we evaluated the proximity to the optimum. Although we chose conditions favorable for mutation rate optimization, the evolved rates were invariably far below the optimu…

0106 biological sciencesMutation rateTime FactorsDigital organismsFitness landscapeQH301-705.5Biology010603 evolutionary biology01 natural sciencesCellular and Molecular Neuroscience03 medical and health sciences0302 clinical medicineGeneticsComputer SimulationBiology (General)Selection GeneticMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biology0303 health sciencesEvolutionary BiologyNatural selectionEcologyModels GeneticComputational Biology15. Life on landAdaptation PhysiologicalBiological EvolutionComputational Biology/Evolutionary ModelingReplication fidelityAsexual populationsEvolvabilityComputational Theory and MathematicsEvolutionary biologyModeling and SimulationViral evolutionMutation (genetic algorithm)MutationDNA Mismatch repairAdaptationAvida030217 neurology & neurosurgeryResearch Article
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A large-scale, higher-level, molecular phylogenetic study of the insect order Lepidoptera (moths and butterflies).

2013

Background Higher-level relationships within the Lepidoptera, and particularly within the species-rich subclade Ditrysia, are generally not well understood, although recent studies have yielded progress. We present the most comprehensive molecular analysis of lepidopteran phylogeny to date, focusing on relationships among superfamilies. Methodology / Principal Findings 483 taxa spanning 115 of 124 families were sampled for 19 protein-coding nuclear genes, from which maximum likelihood tree estimates and bootstrap percentages were obtained using GARLI. Assessment of heuristic search effectiveness showed that better trees and higher bootstrap percentages probably remain to be discovered even …

0106 biological sciencesParaphylyNonsynonymous substitutionEvolutionary GeneticsAnimal EvolutionTineoideaZoologylcsh:MedicineBiologyAnimal PhylogeneticsMoths010603 evolutionary biology01 natural sciences03 medical and health sciencesDitrysiaMonophylyPhylogeneticsMolecular SystematicsEvolutionary ModelingAnimalsEvolutionary Systematicslcsh:ScienceBiologyPhylogeny030304 developmental biologyTaxonomy0303 health sciencesEvolutionary BiologyMultidisciplinaryPopulation Biologylcsh:RComputational Biologybiology.organism_classificationOrganismal EvolutionPhylogeneticsTaxonBombycoideaAnimal Taxonomylcsh:QZoologyButterfliesPopulation GeneticsResearch ArticlePLoS ONE
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RNA interference in Lepidoptera: an overview of successful and unsuccessful studies and implications for experimental design.

2011

International audience; Gene silencing through RNA interference (RNAi) has revolutionized the study of gene function, particularly in non-model insects. However, in Lepidoptera (moths and butterflies) RNAi has many times proven to be difficult to achieve. Most of the negative results have been anecdotal and the positive experiments have not been collected in such a way that they are possible to analyze. In this review, we have collected detailed data from more than 150 experiments including all to date published and many unpublished experiments. Despite a large variation in the data, trends that are found are that RNAi is particularly successful in the family Saturniidae and in genes involv…

0106 biological sciencesPhysiology[SDV]Life Sciences [q-bio]Tissue uptakeBioinformatics01 natural sciencesRNA interferenceRNA interferenceDatabases GeneticDelivery methodsCaenorhabditis elegansRegulation of gene expression0303 health sciencesIMMUNE-RESPONSESMANDUCA-SEXTALepidopteraRNA silencingSILKWORM BOMBYX-MORIResearch DesignInsect ProteinsRNA InterferenceMESSENGER-RNAHELICOVERPA-ARMIGERADOUBLE-STRANDED-RNAComputational biologyBiologyLepidoptera genitaliadsRNA properties03 medical and health sciencesBACILLUS-THURINGIENSISSMALL SILENCING RNASGene silencingAnimalsGene SilencingGene030304 developmental biologyRNA Double-StrandedMechanism (biology)fungiBiology and Life SciencesARMYWORM SPODOPTERA-FRUGIPERDAbiology.organism_classificationImmunity Innate010602 entomologyGene Expression RegulationInsect ScienceEpidermisCAENORHABDITIS-ELEGANSGene functionJournal of insect physiology
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An Empirical Evaluation of the Utility of Convex Hull and Standard Ellipse Areas for Assessing Population Niche Widths from Stable Isotope Data

2013

Stable isotope analyses are increasingly employed to characterise population niche widths. The convex hull area (TA) in a δ¹³C–δ¹⁵N biplot has been used as a measure of isotopic niche width, but concerns exist over its dependence on sample size and associated difficulties in among-population comparisons. Recently a more robust method was proposed for estimating and comparing isotopic niche widths using standard ellipse areas (SEA), but this approach has yet to be tested with empirical stable isotope data. The two methods measure different kind of isotopic niche areas, but both are now widely used to characterise isotopic niche widths of populations. We used simulated data and an extensive e…

0106 biological sciencesPopulation Dynamicslcsh:MedicinePopulation Modeling01 natural sciencesTheoretical EcologyFood Web StructureStatisticsRange (statistics)lcsh:ScienceFreshwater EcologyCarbon Isotopeseducation.field_of_studyMultidisciplinaryEcologyδ13CEcologyStable isotope ratioStatisticsFishesBiogeochemistryisotopic nicheTrophic Interactionstrophic nicheCommunity Ecologyconvex hullResearch ArticlePopulationNichestable isotopesBiostatistics010603 evolutionary biologyNiche ConstructionNormal distributionBayesian ellipse areavakaat isotoopitAnimals14. Life underwaterStatistical MethodseducationBiologyEcological nicheNitrogen Isotopes010604 marine biology & hydrobiologylcsh:RComputational BiologySpecies InteractionsSample size determinationSample SizeravintolokeroEnvironmental scienceta1181lcsh:QPopulation EcologyEcosystem ModelingMathematicsPLOS ONE
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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
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Plant proteome analysis

2004

Proteome analysis is becoming a powerful tool in the functional characterization of plants. Due to the availability of vast nucleotide sequence information and based on the progress achieved in sensitive and rapid protein identification by mass spectrometry, proteome approaches open up new perspectives to analyze the complex functions of model plants and crop species at different levels. In this review, an overview is given on proteome studies performed to analyze whole plants or specific tissues with particular emphasis on important physiological processes such as germination. The chapter on subcellular proteome analysis of plants focuses on the progress achieved for plastids and mitochond…

0106 biological sciencesProteomeGerminationComputational biologyBiologyProteomicsCrop species01 natural sciencesBiochemistryMass Spectrometry03 medical and health sciencesBotany[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyElectrophoresis Gel Two-Dimensional[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyPlastidSymbiosisMolecular BiologyComputingMilieux_MISCELLANEOUS030304 developmental biologyPlant Proteins2. Zero hungerTree physiology0303 health sciencesfungifood and beveragesPlantsProteomeProtein identification010606 plant biology & botany
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