Search results for "MUTATION"

showing 10 items of 2830 documents

Fatty-acid preference changes during development in Drosophila melanogaster.

2011

WOS:000296521400044; International audience; Fatty-acids (FAs) are required in the diet of many animals throughout their life. However, the mechanisms involved in the perception of and preferences for dietary saturated and unsaturated FAs (SFAs and UFAs, respectively) remain poorly explored, especially in insects. Using the model species Drosophila melanogaster, we measured the responses of wild-type larvae and adults to pure SFAs (14, 16, and 18 carbons) and UFAs (C18 with 1, 2, or 3 double-bonds). Individual and group behavioral tests revealed different preferences in larvae and adults. Larvae preferred UFAs whereas SFAs tended to induce both a strong aversion and a persistent aggregation…

[ SDV.BA.ZI ] Life Sciences [q-bio]/Animal biology/Invertebrate Zoology[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionlcsh:MedicineInsectMESH : Behavior AnimalBiochemistrychemistry.chemical_compoundBehavioral EcologyMESH : Drosophila melanogasterMESH: Behavior AnimalMESH: AnimalsPalatabilitylcsh:ScienceMESH : Fatty Acidsmedia_commonchemistry.chemical_classificationLarvaMultidisciplinaryMESH : Food PreferencesEcologyAnimal BehaviorBehavior AnimalEcologyMESH : Fatty Acids UnsaturatedDrosophila MelanogasterFatty AcidsAge FactorsAnimal ModelsNeuroethologyMESH: Fatty Acids UnsaturatedtrpLipidsPreferenceMESH: Fatty AcidsMESH: Dietary FatsSex pheromoneLarvadietary fatFatty Acids Unsaturatedtaste receptor cellSensory PerceptionDrosophila melanogasterResearch Articlelinoleic acidmedia_common.quotation_subjectLinoleic acidZoologylarvaeBiologyMESH: Drosophila melanogasterFood PreferencesModel OrganismslipidAnimalsMESH: Food PreferencesBiologyMESH: Age FactorsEvolutionary BiologyChemical EcologyMESH : Larvalcsh:RfungiFatty acidbiology.organism_classificationDietary Fatstaste receptor cell;dietary fat;aggregation pheromone;linoleic acid;larvae;lipid;trp;palatability;metabolism;mutation[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoologychemistrypalatabilitylcsh:QMESH : Age FactorsMESH : AnimalsmutationmetabolismMESH: Larva[SDV.AEN]Life Sciences [q-bio]/Food and NutritionMESH : Dietary FatsNeuroscienceaggregation pheromone
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Whole mirror duplication-random loss model and pattern avoiding permutations

2010

International audience; In this paper we study the problem of the whole mirror duplication-random loss model in terms of pattern avoiding permutations. We prove that the class of permutations obtained with this model after a given number p of duplications of the identity is the class of permutations avoiding the alternating permutations of length p2+1. We also compute the number of duplications necessary and sufficient to obtain any permutation of length n. We provide two efficient algorithms to reconstitute a possible scenario of whole mirror duplications from identity to any permutation of length n. One of them uses the well-known binary reflected Gray code (Gray, 1953). Other relative mo…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Class (set theory)0206 medical engineeringBinary number0102 computer and information sciences02 engineering and technology[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]01 natural sciencesIdentity (music)Combinatorial problemsTheoretical Computer ScienceGray codeCombinatoricsPermutation[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]Gene duplicationRandom loss[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Pattern avoiding permutationGenerating algorithmComputingMilieux_MISCELLANEOUSMathematicsDiscrete mathematicsWhole duplication-random loss modelMathematics::CombinatoricsGenomeParity of a permutationComputer Science Applications[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]Binary reflected Gray code010201 computation theory & mathematicsSignal Processing[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]020602 bioinformaticsAlgorithmsInformation Systems
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Gray code for Cayley permutations

2003

A length-n Cayley permutation p of a total ordered set S is a length-n sequence of elements from S, subject to the condition that if an element x appears in p then all elements y < x also appear in p . In this paper, we give a Gray code list for the set of length-n Cayley permutations. Two successive permutations in this list differ at most in two positions.

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]PermutationsCombinationslcsh:Electronic computers. Computer scienceWeak-orderlcsh:QA75.5-76.95ComputingMilieux_MISCELLANEOUSGray Code
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Gray code for compositions of n with parts 1 and p

2009

International audience

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]permutation avoiding pattern[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Fibonacci numbercomposition of an integerGray codeComputingMilieux_MISCELLANEOUS
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ECO-generation for some restricted classes of compositions

2013

International audience; We study several restricted classes of compositions by giving one-to-one maps between them and different classes of restricted binary strings or pattern avoiding permutations. Inspired by the ECO method, new succession rules for these classes are presented. Finally, we obtain generating algorithms in Constant Amortized Time (CAT) for theses classes.

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]succession ruleComposition of an integerECO method[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]lcsh:Electronic computers. Computer science[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]generating treepattern avoiding permutationlcsh:QA75.5-76.95
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Quantizations from reproducing kernel spaces

2012

Abstract The purpose of this work is to explore the existence and properties of reproducing kernel Hilbert subspaces of L 2 ( C , d 2 z / π ) based on subsets of complex Hermite polynomials. The resulting coherent states (CS) form a family depending on a nonnegative parameter s . We examine some interesting issues, mainly related to CS quantization, like the existence of the usual harmonic oscillator spectrum despite the absence of canonical commutation rules. The question of mathematical and physical equivalences between the s -dependent quantizations is also considered.

[PHYS]Physics [physics]PhysicsPure mathematicsHermite polynomials010102 general mathematicsSpectrum (functional analysis)FOS: Physical sciencesGeneral Physics and AstronomyMathematical Physics (math-ph)coherent states16. Peace & justice01 natural sciencesLinear subspaceQuantization (physics)Kernel (statistics)0103 physical sciencesCoherent statesCommutation0101 mathematics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]010306 general physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsComputingMilieux_MISCELLANEOUSHarmonic oscillatorAnnals of Physics
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Congenital anomalies from a physics perspective. The key role of "manufacturing" volatility

2020

Genetic and environmental factors are traditionally seen as the sole causes of congenital anomalies. In this paper we introduce a third possible cause, namely random "manufacturing" discrepancies with respect to ``design'' values. A clear way to demonstrate the existence of this component is to ``shut'' the two others and to see whether or not there is remaining variability. Perfect clones raised under well controlled laboratory conditions fulfill the conditions for such a test. Carried out for four different species, the test reveals a variability remainder of the order of 10%-20% in terms of coefficient of variation. As an example, the CV of the volume of E.coli bacteria immediately after…

[PHYS]Physics [physics]Statistics and ProbabilityMortality ratePerspective (graphical)FOS: Physical sciencesCongenital malformationsCondensed Matter Physics01 natural sciencesQuantitative Biology - Quantitative MethodsInfant mortality[PHYS] Physics [physics]010305 fluids & plasmasTurn offBiological Physics (physics.bio-ph)FOS: Biological sciences0103 physical sciencesStatisticsMutation (genetic algorithm)Physics - Biological PhysicsVolatility (finance)010306 general physicsEarly phaseQuantitative Methods (q-bio.QM)
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Biodiversity and characterization of arbuscular mycorrhizal fungi at the molecular level

1994

Biodiversity within a biological group provides the basis for distinguishing members into genera and species according to taxonomic criteria, and between individuals within a species depending on more detailed differences at the genetic level. Diversity between species occurs after a genetic barrier has been created either by a geographic or genetic impedance of gene flow. Divergence can continue by nucleotide substitutions and by mutations in a broader sense (deletions, translocations, duplications), and resulting diversity can be evaluated at the molecular level and used as a phylogenetic character. Diversity at the subspecies level is a function of both mutation rates and gene flow betwe…

[SDE] Environmental Sciences0303 health sciencesMutation ratePhylogenetic treemedia_common.quotation_subject[SDV]Life Sciences [q-bio]BiodiversityChromosomal translocationSubspeciesBiology030308 mycology & parasitologyGene flow[SDV] Life Sciences [q-bio]03 medical and health sciencesEvolutionary biology[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyhuman activitiesFunction (biology)ComputingMilieux_MISCELLANEOUS030304 developmental biologyDiversity (politics)media_common
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Adapting cropping system to delay herbicide resistance. A simulation study

2014

Weeds have evolved resistance to numerous herbicides, and their management becomes increasingly expensive and difficult. Here we (1) adapted the existing weed dynamics simulation model AlomSys to account for target-site resistance to acetyl-coenzyme A carboxylase (ACCase)-inhibiting herbicides in Alopecurus myosuroides by integrating wild and mutant target-site resistant (TSR) genotypes, mutations, fitness costs and seed immigration, and (2) ran simulations testing different crop management practices for their ability to delay resistance evolution and/or control of TSR plants. Simulations of an oilseed rape/winter wheat/winter barley rotation showed that TSR plants exceeded 1 plant/m² appro…

[SDE] Environmental Sciencesmodel[SDV]Life Sciences [q-bio]fungifitness costfood and beveragescropping system[SDV] Life Sciences [q-bio]Alopecurus myosuroidesherbicide resistance[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologymutationweed
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Inactivation of PadR, the repressor of the phenolic acid stress response, by molecular interaction with Usp1, a universal stress protein from Lactoba…

2009

ABSTRACT The phenolic acid decarboxylase gene padA is involved in the phenolic acid stress response (PASR) in gram-positive bacteria. In Lactobacillus plantarum , the padR gene encodes the negative transcriptional regulator of padA and is cotranscribed with a downstream gene, usp1 , which encodes a putative universal stress protein (USP), Usp1, of unknown function. The usp1 gene is overexpressed during the PASR. However, the role and the mechanism of action of the USPs are unknown in gram-positive bacteria. Therefore, to gain insights into the role of USPs in the PASR; (i) a usp1 deletion mutant was constructed; (ii) the two genes padR and usp1 were coexpressed with padA under its own promo…

[SDV.BIO]Life Sciences [q-bio]/BiotechnologyCarboxy-LyasesMolecular Sequence DataRepressorGenetics and Molecular Biologymedicine.disease_causeApplied Microbiology and Biotechnology03 medical and health scienceschemistry.chemical_compoundBacterial ProteinsHydroxybenzoatesTranscriptional regulationmedicineEscherichia coliAmino Acid SequenceGene SilencingGeneEscherichia coliHeat-Shock Proteins030304 developmental biologyRegulation of gene expression0303 health sciencesReporter geneEcologybiology030306 microbiologyGene Expression Regulation BacterialPhenolic acidbiology.organism_classificationMolecular biologyEnterobacteriaceaeacide phénolique[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologychemistryBiochemistryMutationSequence AlignmentHeat-Shock ResponseLactobacillus plantarumFood ScienceBiotechnologyexpression des gènes
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