Search results for "Data sequences"

showing 7 items of 7 documents

Host and environmental factors affecting the intestinal microbiota in chickens

2018

The initial development of intestinal microbiota in poultry plays an important role in production performance, overall health and resistance against microbial infections. Multiplexed sequencing of 16S ribosomal RNA gene amplicons is often used in studies, such as feed intervention or antimicrobial drug trials, to determine corresponding effects on the composition of intestinal microbiota. However, considerable variation of intestinal microbiota composition has been observed both within and across studies. Such variation may in part be attributed to technical factors, such as sampling procedures, sample storage, DNA extraction, the choice of PCR primers and corresponding region to be sequenc…

0301 basic medicineMicrobiology (medical)030106 microbiologyBiosecurityConfounding factorslcsh:QR1-502ZoologymicrobiomeReviewGut microbiotaGut floraMicrobiologylcsh:MicrobiologyPoultry03 medical and health sciencesData sequencesMicrobiologieColonizationMicrobiomeconfounding factors16S rRNAVLAGbiologyAnimal healthgut microbiotaHost (biology)poultrybiology.organism_classificationgut healthAntimicrobial drug030104 developmental biologyGut healthMicrobiome
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Can Extensive Reticulation and Concerted Evolution Result in a Cladistically Structured Molecular Data Set?

2001

Hierarchy is the main criterion for informativeness in a data set, even if no explicit reference to evolution as a causal process is provided. Sequence data (nuclear ribosomal DNA ITS) from Armeria (Plumbaginaceae) contains a certain amount of hierarchical structure as suggested by data decisiveness (DD) and distribution of tree lengths (DTL). However, ancillary evidence suggests that extensive gene flow and biased concerted evolution in these multi-copy regions have significantly shaped the ITS data set. This argument is discussed using parsimony analysis of four data sets, constructed by combining wild sequences with those from different generations of artificial hybrids (wild + F1, F2, a…

GeneticsData setConcerted evolutionData sequencesEvolutionary biologyCausal processArmeriaBiologybiology.organism_classificationRibosomal DNAEcology Evolution Behavior and SystematicsGene flowCladistics
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2021

Amplicon sequencing of partial regions of the ribosomal RNA loci (rDNA) is widely used to profile microbial communities. However, the rDNA is dynamic and can exhibit substantial interspecific and intraspecific variation in copy number in prokaryotes and, especially, in microbial eukaryotes. As change in rDNA copy number is a common response to environmental change, rDNA copy number is not necessarily a property of a species. Variation in rDNA copy number, especially the capacity for large intraspecific changes driven by external cues, complicates analyses of rDNA amplicon sequence data. We highlight the need to (i) interpret amplicon sequence data in light of possible interspecific and intr…

Microbiology (medical)0303 health sciencesEnvironmental change030306 microbiologyInterspecific competition15. Life on landAmpliconBiologyRibosomal RNAMicrobiologyIntraspecific competition03 medical and health sciencesInfectious DiseasesVariation (linguistics)Data sequencesEvolutionary biologyVirologyAmplicon sequencing030304 developmental biologyTrends in Microbiology
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Populations of extended-spectrum β-lactamase-producing Escherichia coli and Klebsiella pneumoniae are different in human-polluted environment and foo…

2021

Abstract Objectives To assess the extent to which food items are a source of extended-spectrum β-lactamase (ESBL) -producing Escherichia coli (ESBL-Ec) and ESBL-producing Klebsiella pneumoniae (ESBL-Kp) for humans in five European cities. Methods We sampled 122 human polluted (hp)-environments (sewers and polluted rivers, as a proxy of human contamination) and 714 food items in Besancon (France), Geneva (Switzerland), Sevilla (Spain), Tubingen (Germany) and Utrecht (The Netherlands). A total of 254 ESBL-Ec and 39 ESBL-Kp isolates were cultured. All genomes were fully sequenced to compare their sequence types (ST) and core genomes, along with the distribution of blaESBL genes and their genet…

Microbiology (medical)Veterinary medicineKlebsiella pneumoniaeEscherichia coli K. pneumoniae ESBL food environmentBiologyEnvironmentPolluted environmentmedicine.disease_causebeta-LactamasesK. pneumoniae03 medical and health sciencesFood chainPlasmidData sequencesExtended-spectrum β-lactamasemedicinepolycyclic compoundsEscherichia coliHumansEscherichia coliEscherichia coli Infections030304 developmental biologyddc:6160303 health sciences030306 microbiologyK pneumoniaeGeneral MedicineSequence typesbiochemical phenomena metabolism and nutritionbiology.organism_classificationbacterial infections and mycoses3. Good healthAnti-Bacterial AgentsKlebsiella InfectionsKlebsiella pneumoniaeInfectious Diseases[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyESBLFoodbacteria[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyPlasmids
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Mitochondrial DNA sequence data support the allocation of Greek mainland chameleons to Chamaeleo africanus

1999

Arnold, E.N., Burton, J.A. (1978): Reptiles and Amphibians of Britain and Europe. London, Collins & Sons.Bruno, S., Maugeri, S. (1990): Guida ai serpenti d’ Italia e d’ Europa. Milano, Editoriale Giorgio Mondadori.Carpenter, C.C., Ferguson, G.W. (1977): Variation and evolution of stereotyped behaviour in reptiles. In: Biologyof theReptilia, Vol. 7, p. 335-554. Gans, C., Tinkle, D.W.,Eds, London, New York, San Francisco, AcademicPress.Tomaselli, R., Balduzzi, A., Filipello, S. (1973): Carta Bioclimatica d’ Italia. Collana Verde 33, MinisteroAgricoltura eForeste, Roma.

Mitochondrial DNAData sequencesEcologyStereotyped behaviourAnimal Science and ZoologyMainlandChamaeleoBiologybiology.organism_classificationEcology Evolution Behavior and SystematicsAmphibia-Reptilia
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One is not enough: On the effects of reference genome for the mapping and subsequent analyses of short-reads.

2020

Mapping of high-throughput sequencing (HTS) reads to a single arbitrary reference genome is a frequently used approach in microbial genomics. However, the choice of a reference may represent a source of errors that may affect subsequent analyses such as the detection of single nucleotide polymorphisms (SNPs) and phylogenetic inference. In this work, we evaluated the effect of reference choice on short-read sequence data from five clinically and epidemiologically relevant bacteria (Klebsiella pneumoniae, Legionella pneumophila, Neisseria gonorrhoeae, Pseudomonas aeruginosa and Serratia marcescens). Publicly available whole-genome assemblies encompassing the genomic diversity of these species…

Systematic errorSingle Nucleotide PolymorphismsPathology and Laboratory MedicineGenomeKlebsiella PneumoniaeDatabase and Informatics MethodsData sequencesKlebsiellaMedicine and Health SciencesBiology (General)CladePhylogenyData ManagementEcologyPhylogenetic treeBacterial GenomicsMicrobial GeneticsChromosome MappingHigh-Throughput Nucleotide SequencingPhylogenetic AnalysisGenomicsBacterial PathogensPhylogeneticsLegionella PneumophilaComputational Theory and MathematicsMedical MicrobiologyModeling and SimulationPathogensSequence AnalysisResearch ArticleComputer and Information SciencesBioinformaticsQH301-705.5LegionellaSequence alignmentSingle-nucleotide polymorphismGenomicsComputational biologyMicrobial GenomicsBiologyResearch and Analysis MethodsPolymorphism Single NucleotideMicrobiologyCellular and Molecular NeurosciencePhylogeneticsGeneticsSNPBacterial GeneticsEvolutionary SystematicsMolecular BiologyMicrobial PathogensEcology Evolution Behavior and SystematicsTaxonomyEvolutionary BiologyBacteriaOrganismsBiology and Life SciencesBacteriologySequence AlignmentGenome BacterialReference genomePLoS Computational Biology
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Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data

2018

Life course data often consists of multiple parallel sequences, one for each life domain of interest. Multichannel sequence analysis has been used for computing pairwise dissimilarities and finding clusters in this type of multichannel (or multidimensional) sequence data. Describing and visualizing such data is, however, often challenging. We propose an approach for compressing, interpreting, and visualizing the information within multichannel sequences by finding (1) groups of similar trajectories and (2) similar phases within trajectories belonging to the same group. For these tasks we combine multichannel sequence analysis and hidden Markov modelling. We illustrate this approach with an …

longitudinal datasekvensointisequence analysisSequence analysisComputer scienceMarkovin ketjutMarkov modelspitkittäistutkimuselämänkaari01 natural sciences010104 statistics & probability03 medical and health sciencesData sequencespopulation dynamicsSannolikhetsteori och statistik0101 mathematicsfamily and work trajectoriesProbability Theory and StatisticsHidden Markov modellife course030505 public healthhidden Markov modelslatent Markov modelsbusiness.industryPattern recognitionTvärvetenskapliga studier inom samhällsvetenskaplife sequence dataLife domainLife course approachPairwise comparisonArtificial intelligenceSocial Sciences Interdisciplinary0305 other medical sciencebusinessväestötilastot
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