Search results for "comparative genomics"

showing 10 items of 101 documents

GWideCodeML: A python package for testing evolutionary hypotheses at the genome-wide level

2020

One of the most widely used programs for detecting positive selection, at the molecular level, is the program codeml, which is implemented in the Phylogenetic Analysis by Maximum Likelihood (PAML) package. However, it has a limitation when it comes to genome-wide studies, as it runs on a gene-by-gene basis. Furthermore, the size of such studies will depend on the number of orthologous genes the genomes have income and these are often restricted to only account for instances where a one-to-one relationship is observed between the genomes. In this work, we present GWideCodeML, a Python package, which runs a genome-wide codeml with the option of parallelization. To maximize the number of analy…

Maximum likelihoodQH426-470Software and Data ResourcesBiologycomputer.software_genreGenomeEvolution Molecular03 medical and health sciencesMolecular levelMolecular evolutionGeneticsCodonMolecular BiologyPhylogenyGenetics (clinical)030304 developmental biologycomputer.programming_languageComparative genomics0303 health sciencesPhylogenetic treeComparative genomicsPositive selectionProtein sequence analysis030302 biochemistry & molecular biologyGenome analysisPython (programming language)Biological EvolutionPositive selectionMolecular evolutionData miningcomputerSoftwarePython
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The link between independent acquisition of intracellular gamma-endosymbionts and concerted evolution in Tremblaya princeps

2015

Many insect species establish mutualistic symbiosis with intracellular bacteria that complement their unbalanced diets. The betaproteobacterium "Candidatus Tremblaya" maintains an ancient symbiosis with mealybugs (Hemiptera: Pseudococcidae), which are classified in subfamilies Phenacoccinae and Pseudococcinae. Most Phenacoccinae mealybugs have "Candidatus Tremblaya phenacola" as their unique endosymbiont, while most Pseudococcinae mealybugs show a nested symbiosis (a bacterial symbiont placed inside another one) where every "Candidatus Tremblaya princeps" cell harbors several cells of a gammaproteobacterium. Genomic characterization of the endosymbiotic consortium from Planococcus citri, co…

Microbiology (medical)Comparative genomicsGeneticsmealybugsConcerted evolutionbiologyEndosymbiosisCandidatus Tremblayalcsh:QR1-502homologous recombinationbiochemical phenomena metabolism and nutritionbiology.organism_classificationGenomeMicrobiologyPseudococcus viburnilcsh:Microbiologynested endosymbiosisSymbiosisPlanococcus citriBotanyCandidatusconcerted evolutionOriginal ResearchFrontiers in Microbiology
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Mealybugs nested endosymbiosis: going into the 'matryoshka' system in Planococcus citri in depth.

2013

Abstract Background In all branches of life there are plenty of symbiotic associations. Insects are particularly well suited to establishing intracellular symbiosis with bacteria, providing them with metabolic capabilities they lack. Essential primary endosymbionts can coexist with facultative secondary symbionts which can, eventually, establish metabolic complementation with the primary endosymbiont, becoming a co-primary. Usually, both endosymbionts maintain their cellular identity. An exception is the endosymbiosis found in mealybugs of the subfamily Pseudoccinae, such as Planococcus citri, with Moranella endobia located inside Tremblaya princeps. Results We report the genome sequencing …

Microbiology (medical)DNA BacterialSubfamilyMoranella endobiaMolecular Sequence DataMicrobiologyGenomeDNA sequencingBacterial geneticsMicrobiologyHemipteraEnterobacteriaceaePlanococcus citriNested endosymbiosisAnimalsSymbiosisTremblaya princepsOrganismComparative genomicsEndosymbiosisbiologyBetaproteobacteriaSequence Analysis DNAbiology.organism_classificationPlanococcus citriEvolutionary biologyfunctional complementationGenome BacterialResearch ArticleBMC microbiology
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Comparative genomics of yeast species: new insights into their biology

2003

The genomes of two hemiascomycetous yeasts (Saccharomyces cerevisiae and Candida albicans) and one archiascomycete (Schizosaccharomyces pombe) have been completely sequenced and the genes have been annotated. In addition, the genomes of 13 more Hemiascomycetes have been partially sequenced. The amount of data thus obtained provides information on the evolutionary relationships between yeast species. In addition, the differential genetic characteristics of the microorganisms explain a number of distinctive biological traits. Gene order conservation is observed between phylogenetically close species and is lost in distantly related species, probably due to rearrangements of short regions of D…

Microbiology (medical)Llevat de cervesaHemiascomycetesSaccharomyces cerevisiaeSaccharomyces cerevisiaeMicrobiologyGenomeSaccharomyces cerevisiae; Candida albicans; Schizosaccharomyces pombe; Hemiascomycetes; Comparative genomicsYeastsSchizosaccharomycesCandida albicansCandida albicansGeneGeneticsComparative genomicsbiologyComparative genomicsUNESCO::CIENCIAS DE LA VIDA::Microbiología ::Metabolismo microbianoGenomicsbiology.organism_classificationYeastGenòmicaSchizosaccharomyces pombeSchizosaccharomyces pombe:CIENCIAS DE LA VIDA::Microbiología ::Metabolismo microbiano [UNESCO]Genome FungalFunction (biology)
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Comparative Genomics Analysis of Keratin-Degrading Chryseobacterium Species Reveals Their Keratinolytic Potential for Secondary Metabolite Production

2021

A promising keratin-degrading strain from the genus Chryseobacterium (Chryseobacterium sp. KMC2) was investigated using comparative genomic tools against three publicly available reference genomes to reveal the keratinolytic potential for biosynthesis of valuable secondary metabolites. Genomic features and metabolic potential of four species were compared, showing genomic differences but similar functional categories. Eleven different secondary metabolite gene clusters of interest were mined from the four genomes successfully, including five common ones shared across all genomes. Among the common metabolites, we identified gene clusters involved in biosynthesis of flexirubin-type pigment, m…

Microbiology (medical)SiderophoreGene clustersgene clustersQH301-705.5[SDV]Life Sciences [q-bio]keratinous materialsSecondary metaboliteBiologyMicrobiologyGenome03 medical and health scienceschemistry.chemical_compoundBiosynthesisVirologyGenome mininggenome miningmedicineBiology (General)GeneDegradation pathways030304 developmental biologyComparative genomicsdegradation pathways0303 health sciences030306 microbiologyKeratinous materialsmetabolic potentialCitric acid cycleMetabolic pathwayBiochemistrychemistryMetabolic potentialmedicine.drugMicroorganisms
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Isolation and Characterization of High-Efficiency Rhizobia From Western Kenya Nodulating With Common Bean.

2021

Common bean is one of the primary protein sources in third-world countries. They form nodules with nitrogen-fixing rhizobia, which have to be adapted to the local soils. Commercial rhizobial strains such as Rhizobium tropici CIAT899 are often used in agriculture. However, this strain failed to significantly increase the common bean yield in many places, including Kenya, due to the local soils’ low pH. We isolated two indigenous rhizobial strains from the nodules of common bean from two fields in Western Kenya that have never been exposed to commercial inocula. We then determined their ability to fix nitrogen in common beans, solubilize phosphorus, and produce indole acetic acid. In greenhou…

Microbiology (medical)common beanpangenomespecies delimitationnitrogen fixationsynteny blocksfood and beveragesRhizobium phaseolicomparative genomicsrhizobiaMicrobiologyQR1-502Original ResearchFrontiers in microbiology
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Live genomics for pathogen monitoring in public health.

2014

Whole genome analysis based on next generation sequencing (NGS) now represents an affordable framework in public health systems. Robust analytical pipelines of genomic data provides in a short lapse of time (hours) information about taxonomy, comparative genomics (pan-genome) and single polymorphisms profiles. Pathogenic organisms of interest can be tracked at the genomic level, allowing monitoring at one-time several variables including: epidemiology, pathogenicity, resistance to antibiotics, virulence, persistence factors, mobile elements and adaptation features. Such information can be obtained not only at large spectra, but also at the “local” level, such as in the event of a recurrent …

Microbiology (medical)medicine.medical_specialtylcsh:MedicineVirulenceGenomicscomparative genomicsBiologyGenomeDNA sequencingArticleresistancemedicineImmunology and AllergyMolecular Biologypathogens outbreaks; pan-genome; comparative genomics; bioinformatics; resistance; public healthComparative genomicsGeneral Immunology and MicrobiologyPublic healthlcsh:Rpublic healthPan-genomebioinformaticsData scienceInfectious Diseasespathogens outbreaksData qualitypan-genomePathogens (Basel, Switzerland)
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Comprehensive yeast genome database (CYGD)

2015

Information on the molecular structure and functional network of the entirely sequenced, well-studied model eukaryote, the budding yeast Saccharomyces cerevisiae. In addition the data of various projects on related yeasts are used for comparative analysis.

Model organismsComparative genomicsMolecular interactions pathways and networks
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A new evolutionary paradigm for the Parkinson disease gene DJ-1.

2006

The DJ-1 gene is extensively studied because of its involvement in familial Parkinson disease. DJ-1 belongs to a complex superfamily of genes that includes both prokaryotic and eukaryotic representatives. We determine that many prokaryotic groups, such as proteobacteria, cyanobacteria, spirochaetes, firmicutes, or fusobacteria, have genes, often incorrectly called "Thij," that are very close relatives of DJ-1, to the point that they cannot be clearly separated from the eukaryotic DJ-1 genes by phylogenetic analyses of their sequences. In addition, and contrary to a previous study that suggested that DJ-1 genes were animal specific, we show that DJ-1 genes are found in at least 5 of the 6 ma…

Models MolecularGenes FungalMolecular Sequence DataProtein Deglycase DJ-1Genes PlantAmoebozoaEvolution MolecularPhylogeneticsGeneticsAmino Acid SequenceMolecular BiologyGeneEcology Evolution Behavior and SystematicsPhylogenyChromalveolataGeneticsComparative genomicsOncogene ProteinsPhylogenetic treebiologyIntracellular Signaling Peptides and ProteinsFusobacteriaParkinson Diseasebiology.organism_classificationEukaryotic CellsProkaryotic CellsGenes BacterialSchizosaccharomyces pombeSequence AlignmentMolecular biology and evolution
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Comparative genomic sequencing reveals a strikingly similar architecture of a conserved syntenic region on human chromosome 11p15.3 (including gene S…

2001

Comparative genomics is a superior way to identify phylogenetically conserved features like genes or regions involved in gene regulation. The comparison of extended orthologous chromosomal regions should also reveal other characteristic traits essential for chromosome or gene function. In the present study we have sequenced and compared a region of conserved synteny from human chromosome 11p15.3 and mouse chromosome 7. In human, this region is known to contain several genes involved in the development of various disorders like Beckwith-Wiedemann overgrowth syndrome and other tumor diseases. Furthermore, in the neighboring chromosome region 11p15.5 extensive imprinting of genes has been repo…

Molecular Sequence DataeducationGenomicsBiologyChromosomesContig MappingMiceGene OrderGeneticsAnimalsHumansCloning MolecularMolecular BiologyGeneConserved SequenceGenetics (clinical)Repetitive Sequences Nucleic AcidSyntenyRegulation of gene expressionChromosome 7 (human)Comparative genomicsGeneticsChromosomes Human Pair 11Tumor Suppressor ProteinsGenomic sequencingChromosomeSequence Analysis DNAGC Rich SequenceDNA-Binding ProteinsCytogenetic and Genome Research
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