Search results for "genomic"

showing 10 items of 1737 documents

Mitigating anticipated effects of systematic errors supports sister-group relationship between Xenacoelomorpha and Ambulacraria.

2019

International audience; Xenoturbella and the acoelomorph worms (Xenacoelomorpha) are simple marine animals with controversial affinities. They have been placed as the sister group of all other bilaterian animals (Nephrozoa hypothesis), implying their simplicity is an ancient characteristic ]; alternatively, they have been linked to the complex Ambulacraria (echinoderms and hemichordates) in a clade called the Xenambulacraria , suggesting their simplicity evolved by reduction from a complex ancestor. The difficulty resolving this problem implies the phylogenetic signal supporting the correct solution is weak and affected by inadequate modeling, creating a misleading non-phylogenetic signal. …

0301 basic medicineXenoturbellaAmbulacrariamedia_common.quotation_subjectAcoelomorpha ; Ambulacraria ; Metazoa ; Nephrozoa ; Phylogenomics ; Phylogeny ; Systematic Error ; XenoturbellaNephrozoaContext (language use)phylogeny[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomyGeneral Biochemistry Genetics and Molecular Biologysystematic error03 medical and health sciences0302 clinical medicineXenoturbellaAnimalsSimplicityAmbulacrariaChordatamedia_commonLong branch attractionbiologyMetazoa[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Acoelomorphaphylogenomicsbiology.organism_classificationBiological EvolutionInvertebratesXenacoelomorpha[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology030104 developmental biologySister groupEvolutionary biologyOutgroupGeneral Agricultural and Biological Sciences030217 neurology & neurosurgeryEchinodermata
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The ‘Shellome’ of the Crocus Clam Tridacna crocea Emphasizes Essential Components of Mollusk Shell Biomineralization

2021

Molluscan shells are among the most fascinating research objects because of their diverse morphologies and textures. The formation of these delicate biomineralized structures is a matrix-mediated process. A question that arises is what are the essential components required to build these exoskeletons. In order to understand the molecular mechanisms of molluscan shell formation, it is crucial to identify organic macromolecules in different shells from diverse taxa. In the case of bivalves, however, taxon sampling in previous shell proteomics studies are focused predominantly on representatives of the class Pteriomorphia such as pearl oysters, edible oysters and mussels. In this study, we hav…

0301 basic medicine[CHIM.POLY] Chemical Sciences/Polymers[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringproteomeTridacna croceaJAPANESE PEARL OYSTERQH426-470[SPI.MAT] Engineering Sciences [physics]/Materials[SPI.MAT]Engineering Sciences [physics]/Materials03 medical and health sciences[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Genetics[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering14. Life underwaterMolluscaGenetics (clinical)Original Research030102 biochemistry & molecular biologybiology[CHIM.ORGA]Chemical Sciences/Organic chemistryfungibiology.organism_classificationBivalviabiomineralization[CHIM.ORGA] Chemical Sciences/Organic chemistryTridacnaPteriomorphiaMytilusBivalvia030104 developmental biology[CHIM.POLY]Chemical Sciences/PolymersEvolutionary biologyMolluscaProteomeMolecular Medicineshell formationHeterodontatranscriptomeBiomineralization
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The Antisense RNA Approach: a New Application for In Vivo Investigation of the Stress Response of Oenococcus oeni, a Wine-Associated Lactic Acid Bact…

2015

ABSTRACT Oenococcus oeni is a wine-associated lactic acid bacterium mostly responsible for malolactic fermentation in wine. In wine, O. oeni grows in an environment hostile to bacterial growth (low pH, low temperature, and ethanol) that induces stress response mechanisms. To survive, O. oeni is known to set up transitional stress response mechanisms through the synthesis of heat stress proteins (HSPs) encoded by the hsp genes, notably a unique small HSP named Lo18. Despite the availability of the genome sequence, characterization of O. oeni genes is limited, and little is known about the in vivo role of Lo18. Due to the lack of genetic tools for O. oeni , an efficient expression vector in O…

0301 basic medicine[SDV.BIO]Life Sciences [q-bio]/Biotechnology[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition030106 microbiologyLactobacillus-plantarumWineEscherichia-coliApplied Microbiology and Biotechnologymolecular characterization03 medical and health sciencesGrowth-phaseBacterial ProteinsMembrane stabilizationHeat shock protein[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Antisense TechnologyGene expression[SDV.IDA]Life Sciences [q-bio]/Food engineeringMalolactic fermentationEnvironmental MicrobiologyRNA AntisenseGene-expressionLactic AcidHeat-Shock ProteinsOenococcusOenococcus oeniLeuconostoc-oenosEcologybiologyEthanolLactococcus lactisMalolactic fermentation[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyGene Expression Regulation Bacterialbiology.organism_classification[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyAntisense RNABiochemistryLactococcus-lactisHeat-shock-proteinFermentationOenococcusFood ScienceBiotechnology
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Evaluation of DNA Methylation Episignatures for Diagnosis and Phenotype Correlations in 42 Mendelian Neurodevelopmental Disorders

2020

Contains fulltext : 218274.pdf (Publisher’s version ) (Closed access) Genetic syndromes frequently present with overlapping clinical features and inconclusive or ambiguous genetic findings which can confound accurate diagnosis and clinical management. An expanding number of genetic syndromes have been shown to have unique genomic DNA methylation patterns (called "episignatures"). Peripheral blood episignatures can be used for diagnostic testing as well as for the interpretation of ambiguous genetic test results. We present here an approach to episignature mapping in 42 genetic syndromes, which has allowed the identification of 34 robust disease-specific episignatures. We examine emerging pa…

0301 basic medicine[SDV]Life Sciences [q-bio]Computational biology030105 genetics & heredityBiologyPediatricsArticleCohort Studiesmolecular diagnostics03 medical and health sciencessymbols.namesakeGenetic HeterogeneityGene duplicationGeneticsHumansHunter-McAlpine syndromeGenetics (clinical)Mass screening030304 developmental biologyEpiSignGenetics0303 health sciencesNeurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]DNA methylationGenetic heterogeneity030305 genetics & heredityCorrectionSyndromeDNA MethylationMolecular diagnosticsPhenotypePenetranceHuman genetics3. Good healthepisignaturegenomic DNA030104 developmental biologyPhenotypeNeurodevelopmental DisordersDNA methylationuncertain clinical casesMendelian inheritancesymbolsIdentification (biology)VUS classification
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Functional comparison of bacteria from the human gut and closely related non-gut bacteria reveals the importance of conjugation and a paucity of moti…

2016

International audience; The human GI tract is a complex and still poorly understood environment, inhabited by one of the densest microbial communities on earth. The gut microbiota is shaped by millennia of evolution to co-exist with the host in commensal or symbiotic relationships. Members of the gut microbiota perform specific molecular functions important in the human gut environment. This can be illustrated by the presence of a highly expanded repertoire of proteins involved in carbohydrate metabolism, in phase with the large diversity of polysaccharides originating from the diet or from the host itself that can be encountered in this environment. In order to identify other bacterial fun…

0301 basic medicine[SDV]Life Sciences [q-bio]lcsh:MedicineGut floraPathology and Laboratory Medicinemedicine.disease_causeBiochemistryDatabase and Informatics MethodsRNA Ribosomal 16SMedicine and Health SciencesDNA metabolismlcsh:SciencePhylogenyProtein MetabolismClostridium BotulinumMultidisciplinarybiologyChemotaxisGastrointestinal Microbiomedigestive oral and skin physiologyHuman microbiomeGenomicsBacterial Physiological PhenomenaGenomic DatabasesAdaptation PhysiologicalBacterial PathogensNucleic acidsMedical MicrobiologyConjugation GeneticPathogensBacteroides thetaiotaomicronResearch ArticleCell PhysiologyBacterial Physiological PhenomenaResearch and Analysis MethodsBiosynthesisMicrobiologydigestive systemMicrobiology03 medical and health sciencesBacterial ProteinsGeneticsmedicineHumansMicrobial PathogensEscherichia coliClostridiumBacteria030102 biochemistry & molecular biologyGut Bacterialcsh:ROrganismsBiology and Life SciencesComputational BiologyChemotaxisCell BiologyDNAGenome Analysisbiology.organism_classificationGastrointestinal MicrobiomeCell MetabolismBiological DatabasesMetabolism030104 developmental biologyEvolutionary biologylcsh:QGenome BacterialBacteria
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Bacterial community diversity harboured by interacting species

2016

International audience; All animals are infected by microbial partners that can be passengers or residents and influence many biological traits of their hosts. Even if important factors that structure the composition and abundance of microbial communities within and among host individuals have been recently described, such as diet, developmental stage or phylogeny, few studies have conducted cross-taxonomic comparisons, especially on host species related by trophic relationships. Here, we describe and compare the microbial communities associated with the cabbage root fly Delia radicum and its three major parasitoids: the two staphylinid beetles Aleochara bilineata and A. bipustulata and the…

0301 basic medicine[SDV]Life Sciences [q-bio]lcsh:MedicinespeciesArtificial Gene Amplification and ExtensionPathogenesisPathology and Laboratory MedicinephylogenycabbagegenusPolymerase Chain ReactiongeographyParasitoidAbundance (ecology)[ SDV.MP ] Life Sciences [q-bio]/Microbiology and ParasitologyMedicine and Health SciencesRickettsialcsh:ScienceTrophic levelMultidisciplinarybiologyEcologyMicrobiotabeetleGenomicsBiodiversityBacterial PathogensInsectsColeopterasymbiont[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologypyrosequencingMedical MicrobiologyHost-Pathogen Interactions[SDE]Environmental SciencesWolbachiaFrancePathogensmicrobial communityWolbachiaResearch ArticleArthropodaSpiroplasmaMollicutesSpiroplasmaMicrobial GenomicsResearch and Analysis MethodsMicrobiology03 medical and health sciencesPhylogeneticsGeneticsAnimals[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyMolecular Biology TechniquesMolecular BiologyMicrobial PathogensparasitoidBacteriaHost (biology)Dipteralcsh:RfungiOrganismsBiology and Life Sciencesbiology.organism_classificationInvertebratesHymenoptera030104 developmental biologylcsh:QMicrobiomeDelia radicum
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Co-regulation of paralog genes in the three-dimensional chromatin architecture.

2016

Paralog genes arise from gene duplication events during evolution, which often lead to similar proteins that cooperate in common pathways and in protein complexes. Consequently, paralogs show correlation in gene expression whereby the mechanisms of co-regulation remain unclear. In eukaryotes, genes are regulated in part by distal enhancer elements through looping interactions with gene promoters. These looping interactions can be measured by genome-wide chromatin conformation capture (Hi-C) experiments, which revealed self-interacting regions called topologically associating domains (TADs). We hypothesize that paralogs share common regulatory mechanisms to enable coordinated expression acco…

0301 basic medicineanimal structuresComputational biologyBiologyGenomeChromosome conformation capture03 medical and health sciencesMice0302 clinical medicineDogsGene DuplicationGene duplicationGeneticsAnimalsCluster AnalysisHumansPromoter Regions GeneticGeneChIA-PETGenomic organizationGeneticsRegulation of gene expressionGenomefungiGene regulation Chromatin and EpigeneticsComputational BiologyChromatin Assembly and DisassemblyBiological EvolutionChromatinChromatin030104 developmental biologyEnhancer Elements GeneticGene Expression Regulation030217 neurology & neurosurgeryNucleic acids research
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Holistic Optimization of Bioinformatic Analysis Pipeline for Detection and Quantification of 2′-O-Methylations in RNA by RiboMethSeq

2020

International audience; A major trend in the epitranscriptomics field over the last 5 years has been the high-throughput analysis of RNA modifications by a combination of specific chemical treatment(s), followed by library preparation and deep sequencing. Multiple protocols have been described for several important RNA modifications, such as 5-methylcytosine (m5C), pseudouridine (ψ), 1-methyladenosine (m1A), and 2'-O-methylation (Nm). One commonly used method is the alkaline cleavage-based RiboMethSeq protocol, where positions of reads' 5'-ends are used to distinguish nucleotides protected by ribose methylation. This method was successfully applied to detect and quantify Nm residues in vari…

0301 basic medicinebioinformatic pipelinelcsh:QH426-470Computer scienceComputational biologyDeep sequencingPseudouridine03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ribose methylationEpitranscriptomicsGeneticsGenetics (clinical)receiver operating characteristic2'-O-methylation2′-O-methylationhigh-throughput sequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyBrief Research Reportlcsh:Genetics030104 developmental biologychemistry030220 oncology & carcinogenesisTransfer RNARNAMolecular MedicineSmall nuclear RNAReference genomeFrontiers in Genetics
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Robust Analysis of Time Series in Virome Metagenomics

2018

Metagenomics is a powerful tool for assessing the functional and taxonomic contents in biological samples as it makes feasible to study, simultaneously, the whole living community related to a host organism or medium: all the microbes, including virus, bacteria, archaea, fungi, and protists. New DNA and RNA sequencing technologies are dramatically decreasing the cost per sequenced base, so metagenomic sequencing is becoming more and more widespread in biomedical and environmental research. This is opening the possibility of complete longitudinal metagenomic studies, which could unravel the dynamics of microbial communities including intra-microbiome and host-microbiome interactions through …

0301 basic medicinebiologySeries (mathematics)Computer scienceFrame (networking)RNAComputational biologybiology.organism_classification03 medical and health scienceschemistry.chemical_compound030104 developmental biologyMicrobial population biologychemistryMetagenomicsHuman viromeRobust analysisProtocol (object-oriented programming)CoevolutionBacteriaDNAArchaea
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Clinical impact of using a deep genomic profile in carcinoma of unknown origin

2018

0301 basic medicinebusiness.industryHematologyComputational biologymedicine.diseaseGenome03 medical and health sciences030104 developmental biology0302 clinical medicineOncology030220 oncology & carcinogenesisGenomic ProfileCarcinomamedicinebusinessAnnals of Oncology
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