Search results for "bacterial genomics"

showing 4 items of 4 documents

Identification of virulence factors and antibiotic resistance markers using bacterial genomics.

2016

International audience; In recent years, the number of multidrug-resistant bacteria has increased rapidly and several epidemics were signaled in different regions of the world. Faced with this situation that presents a major global public health concern, the development and the use of new and rapid technologies is more than urgent. The use of the next-generation sequencing platforms by microbiologists and infectious disease specialists has allowed great progress in the medical field. Here, we review the usefulness of whole-genome sequencing for the detection of virulence and antibiotic resistance associated genes.

0301 basic medicineMicrobiology (medical)medicine.medical_specialtyVirulence Factors[SDV]Life Sciences [q-bio]030106 microbiologyVirulenceComputational biologyBiologyMicrobiology03 medical and health sciencesAntibiotic resistanceDrug Resistance Multiple BacterialmedicineHumansWhole genome sequencingBacteriaVirulence[ SDV ] Life Sciences [q-bio]business.industryBacterial genomicsPublic healthHigh-Throughput Nucleotide SequencingGenomicsbiology.organism_classification3. Good healthBiotechnology[SDV] Life Sciences [q-bio]Infectious disease (medical specialty)Spectrometry Mass Matrix-Assisted Laser Desorption-IonizationbusinessGenome BacterialBacteria
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Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution

2012

BackgroundGenome reduction is a common evolutionary process affecting bacterial lineages that establish symbiotic or pathogenic associations with eukaryotic hosts. Such associations yield highly reduced genomes with greatly streamlined metabolic abilities shaped by the type of ecological association with the host. Sodalis glossinidius, the secondary endosymbiont of tsetse flies, represents one of the few complete genomes available of a bacterium at the initial stages of this process. In the present study, genome reduction is studied from a systems biology perspective through the reconstruction and functional analysis of genome-scale metabolic networks of S. glossinidius.ResultsThe functiona…

Genome evolutionTsetse FliesSystems biologyScienceGenomeMicrobiologyModels BiologicalAnimals Genetically ModifiedEvolution MolecularEnterobacteriaceaeEscherichia coliAnimalsComputer SimulationBiologyGeneticsEvolutionary BiologyMultidisciplinarybiologyHost (biology)Human evolutionary geneticsBacterial genomicsSystems BiologyQSodalis glossinidiusEnterobacteriaceae InfectionsRComputational BiologyGenomicsbiology.organism_classificationPhenotypePhenotypeEvolutionary biologyHost-Pathogen InteractionsMedicineDirected Molecular EvolutionGenome BacterialMetabolic Networks and PathwaysResearch Article
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Two hundred and fifty-four metagenome-assembled bacterial genomes from the bank vole gut microbiota.

2020

Abstract Vertebrate gut microbiota provide many essential services to their host. To better understand the diversity of such services provided by gut microbiota in wild rodents, we assembled metagenome shotgun sequence data from a small mammal, the bank vole Myodes glareolus (Rodentia, Cricetidae). We were able to identify 254 metagenome assembled genomes (MAGs) that were at least 50% ( n  = 133 MAGs), 80% ( n  = 77 MAGs) or 95% ( n  = 44 MAGs) complete. As typical for a rodent gut microbiota, these MAGs are dominated by taxa assigned to the phyla Bacteroidetes ( n  = 132 MAGs) and Firmicutes ( n  = 80), with some Spirochaetes ( n  = 15) and Proteobacteria ( n  = 11). Based on coverage over…

Statistics and Probabilitymetagenomicsbacterial genomicsGenomeBacteriametsämyyräArvicolinaesuolistomikrobistoBacterialsequencinggenomiikkaLibrary and Information Sciencesmicrobial ecologybakteeritComputer Science ApplicationsEducationGastrointestinal MicrobiomemikrobiekologiaAnimalslcsh:QStatistics Probability and Uncertaintylcsh:ScienceInformation Systems
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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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