0000000000266355

AUTHOR

Richard Christen

0000-0002-3396-4362

showing 10 related works from this author

Molecular biomass and MetaTaxogenomic assessment of soil microbial communities as influenced by soil DNA extraction procedure

2011

Three soil DNA extraction procedures (homemade protocols and commercial kit) varying in their practicability were applied to contrasting soils to evaluate their efficiency in recovering: (i) soil DNA and (ii) bacterial diversity estimated by 16S rDNA pyrosequencing. Significant differences in DNA yield were systematically observed between tested procedures. For certain soils, 10 times more DNA was recovered with one protocol than with the others. About 15,000 sequences of 16S rDNA were obtained for each sample which were clustered to draw rarefaction curves. These curves, as well as the PCA ordination of community composition based on OTU clustering, did not reveal any significant differenc…

2. Zero hunger0303 health sciencesbiology030306 microbiologyFirmicutesSoil chemistryBioengineering15. Life on landbiology.organism_classificationcomplex mixturesApplied Microbiology and BiotechnologyBiochemistryActinobacteria03 medical and health sciencesCrenarchaeotaMetagenomicsSoil waterBotanyPyrosequencingSoil microbiology030304 developmental biologyBiotechnologyMicrobial Biotechnology
researchProduct

Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR

2011

Fungi constitute an important group in soil biological diversity and functioning. However, characterization and knowledge of fungal communities is hampered because few primer sets are available to quantify fungal abundance by real-time quantitative PCR (real-time Q-PCR). The aim in this study was to quantify fungal abundance in soils by incorporating, into a real-time Q-PCR using the SYBRGreen (R) method, a primer set already used to study the genetic structure of soil fungal communities. To satisfy the real-time Q-PCR requirements to enhance the accuracy and reproducibility of the detection technique, this study focused on the 18S rRNA gene conserved regions. These regions are little affec…

fungal abundance organic carbon content real-time Q-PCR length polymorphism SYBRGreen method type de sol[SDV]Life Sciences [q-bio]lcsh:MedicinePlant SciencePlant Roots18S ribosomal RNASYBRGreen methodtype de sol[ SDE ] Environmental SciencesSoilFungal Reproductionlcsh:ScienceDNA FungalPhylogenyorganic carbon content2. Zero hunger0303 health sciencesDiversityMultidisciplinaryfungal abundanceEcologyEcologyRevealsFungal geneticsPolymerase-chain-reactionAgricultureBiodiversityAmpliconSoil Ecologysoil texture amplification enzymatique de l'adnBacterial communitiesSamplesreal-time Q-PCRCommunity Ecology[SDE]Environmental SciencesRhizosphereResearch ArticleSoil textureIn silicoMolecular Sequence DataSoil ScienceComputational biologyMycologyBiologyReal-Time Polymerase Chain ReactionMicrobiologyMicrobial Ecology03 medical and health sciencesSpecies SpecificityMedicago truncatulaMicrobial communityRNA Ribosomal 18SSoil ecologyBiology030304 developmental biologyDNA PrimersRibosomal-Rna genes[ SDV ] Life Sciences [q-bio]030306 microbiologylcsh:RFungiBotanyReproducibility of Resultslength polymorphismsoil textureSequence Analysis DNADna15. Life on landamplification enzymatique de l'adnDNA extractionlcsh:QPrimer (molecular biology)
researchProduct

Erwinia piriflorinigrans sp. nov., a novel pathogen that causes necrosis of pear blossoms

2010

Eight Erwinia strains, isolated from necrotic pear blossoms in València, Spain, were compared with reference strains of Erwinia amylovora and Erwinia pyrifoliae, both of which are pathogenic to species of pear tree, and to other species of the family Enterobacteriaceae using a polyphasic approach. Phenotypic analyses clustered the novel isolates into one phenon, distinct from other species of the genus Erwinia, showing that the novel isolates constituted a homogeneous phenotypic group. Rep-PCR profiles, PCR products obtained with different pairs of primers and plasmid contents determined by restriction analysis showed differences between the novel strains and reference strains of E. amylovo…

AD-HOC-COMMITTEEBACTERIALFIRE BLIGHT PATHOGENErwiniaPolymerase Chain ReactionErwinia pyrifoliaePyrusRNA Ribosomal 16SCluster Analysis[SDV.BDD]Life Sciences [q-bio]/Development BiologyPhylogenyNESTED-PCRBase Composition0303 health sciencesPEARbiologyPhylogenetic treeNucleic Acid Hybridizationfood and beveragesGeneral MedicineEnterobacteriaceaeBacterial Typing TechniquesTHERMAL-DENATURATIONPlasmidsDNA BacterialGenotypeMolecular Sequence DataDNA RibosomalMicrobiologyMicrobiology03 medical and health sciencesBacterial ProteinsPhylogeneticsDEOXYRIBONUCLEIC-ACIDEcology Evolution Behavior and SystematicsPlant Diseases030304 developmental biologyIDENTIFICATIONSEQUENCES030306 microbiologyAMYLOVORASequence Analysis DNADNARibosomal RNAbiochemical phenomena metabolism and nutrition16S ribosomal RNAbiology.organism_classificationMolecular TypingSpainErwiniabacteria
researchProduct

Apport des nouvelles générations de séquençage pour accéder à la diversité des communautés microbiennes du sol : nécessité d’un ‘pipeline’ bio-inform…

2011

Communication orale, résuméCommunication orale, résumé; La diversité microbienne d’un sol est difficile à caractériser. Ceci s’explique par une accessibilité plus ou moins importante des populations au sein d’une matrice hétérogène et structurée, mais aussi par l’incapacité à résoudre une information constituée de 100 000 à 1 000 000 d’espèces différentes par gramme de sol. Toutefois, récemment, d’importantes avancées en biologie moléculaire ont permis de mieux caractériser la diversité des communautés microbiennes du sol in situ et ce sans a priori. Ainsi, la puissance des nouvelles générations de séquençage comme le pyroséquençage permettent de travailler en haut-débit afin d’obtenir plus…

[SDV] Life Sciences [q-bio]méta-génomique monogénique;bio-informatique;pyroséquençage;pipeline[ SDV ] Life Sciences [q-bio]bio-informatique[SDV]Life Sciences [q-bio]pipelineméta-génomique monogéniquepyroséquençage
researchProduct

Apport des nouvelles générations de séquençage pour accéder à la diversité des communautés microbiennes du sol : nécessité d’un ‘pipeline’ bio-inform…

2012

National audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences16Ssol[SDV]Life Sciences [q-bio][SDE]Environmental Sciencescommunautés microbiennes[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologypipeline bio-informatiqueComputingMilieux_MISCELLANEOUSpyroséquençagediversité
researchProduct

Pseudomonas salomonii sp. nov., pathogenic on garlic, and Pseudomonas palleroniara sp. nov., isolated from rice

2002

International audience; A total of 26 strains, including 15 strains isolated from garlic plants with the typical symptoms of 'Café au lait' disease and 11 strains isolated from diseased or healthy rice seeds and sheaths infested by Pseudomonas fuscovaginae, were compared with 70 type or reference strains of oxidase-positive pathogenic or non-pathogenic fluorescent pseudomonads. The strains were characterized by using a polyphasic taxonomic approach. Numerical taxonomy of phenotypic characteristics showed that the garlic and rice strains were related to each other. However, they clustered into separate phenons, distinct from those of the other strains tested, and were different in several nu…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesIdentificationADNPhénotype01 natural sciencesphenotypic characteristicsPseudomonas fuscovaginaeRNA Ribosomal 16SPhylogeny2. Zero hungerBase Composition0303 health sciencesbiologyPhylogenetic treeDNA–DNA hybridizationfood and beveragesGeneral MedicinePseudomonas palleronianaRNA BacterialPhenotypehttp://aims.fao.org/aos/agrovoc/c_5435Pseudomonas palleronianaPseudomonas salomoniiAllium sativumhttp://aims.fao.org/aos/agrovoc/c_290DNA Bacterialhttp://aims.fao.org/aos/agrovoc/c_27578Pseudomonas salomoniiPhenotypic characteristicMolecular Sequence DataDNA Ribosomal010603 evolutionary biologyMicrobiologyMicrobiologyNumerical taxonomy03 medical and health sciencesTerminology as TopicPseudomonaspolyphasic taxonomyGarlicGeneEcology Evolution Behavior and SystematicsH20 - Maladies des plantes030304 developmental biologyDNA-DNA hybridizationHybridation moléculaireSettore AGR/12 - Patologia VegetaleOryzaTaxonomie16S ribosomal RNAbiology.organism_classificationhttp://aims.fao.org/aos/agrovoc/c_3791http://aims.fao.org/aos/agrovoc/c_6304http://aims.fao.org/aos/agrovoc/c_5776Genes Bacterialhttp://aims.fao.org/aos/agrovoc/c_2347http://aims.fao.org/aos/agrovoc/c_7631
researchProduct

Pseudomonas lini sp. nov., a novel species from bulk and rhizospheric soils.

2002

The taxonomic position of eight fluorescent Pseudomonas strains isolated from bulk and rhizospheric soils, and from water was examined. These eight strains clustered in one phenon together with Pseudomomas mandelii (CFBP 4844T), but could still be differentiated from this type strain by four phenotypic features. The eight stains exhibited internal DNA-DNA hybridization values ranging from 60 to 100%, with deltaTm below 5 degrees C (3.9 and 4.3 degrees C) for the lowest values (60 and 66%). The percentages of hybridization with type or reference strains of other Pseudomonas species tested ranged from 12 to 60% (deltaTm = 5.5 degrees C), indicating that the eight isolates studied constituted …

DNA Bacterial[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesMolecular Sequence DataSiderophoresMicrobiologyMicrobiology03 medical and health sciencesSpecies SpecificityPhylogeneticsGenusPseudomonasRNA Ribosomal 16SBotanyPhylogenySoil MicrobiologyComputingMilieux_MISCELLANEOUSEcology Evolution Behavior and Systematics030304 developmental biology[SDV.SA] Life Sciences [q-bio]/Agricultural sciences0303 health sciencesPhylogenetic treebiologyStrain (chemistry)030306 microbiologyPseudomonasNucleic Acid HybridizationGeneral MedicineRibosomal RNAbiology.organism_classification16S ribosomal RNAPseudomonas liniWater MicrobiologyInternational Journal of Systematic and Evolutionary Microbiology
researchProduct

Optimisation du pyroséquençage haut-débit pour caractériser la diversité taxonomique des communautés bactériennes des sols

2012

La diversité microbienne d’un sol (que l’on estime à 100000 à 1000000 d’espè ces différentes par gramme de sol) est difficile à caractériser. Toutefois, d’importantes avancé es en biologie moléculaire (comme le développement du pyrosé quençage), ont permis d'obtenir plusieurs centaines de milliers de sé quences à partir d’un ADN métagénomique, permettant une meilleure caracté risation de la diversité des communautés microbiennes du sol. Toutefois, dans un contexte ou l’écologie microbienne du sol commence à s’accaparer les é chantillonnages de grande envergure (spatial et temporelle) afin de mieux hié rarchiser les processus et paramètres impliqués dans la diversification de ces communauté …

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]cycle biogéochimique;modélisation;échantillonnage;changement d’échelleéchantillonnagechangement d’échellecycle biogéochimiquemodélisation
researchProduct

GnS-PIPE: an optimized bionformatic pipeline to efficiently assess microbial taxonomic diversity of complex environments using high throughput sequen…

2013

International audience; The rRNA genes (16S, 18S, ITS) are widely used to study microbial communities in soils, as they can be easily amplified from metagenomic DNA. Moreover, the recent development of high-throughput sequencing technologies allows the assessment of millions of sequences from a single metagenomic DNA. Some pipelines are already available (e.g. QIIME or Mothur) to efficiently treat such data. However, the development of bioinformatic tools must now be validated by various biological tests. This was particularly true for key steps to appraise microbial diversity and richness. Here, we present a new pipeline named GnS-PIPE, a software application performing bacterial, archaeal…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesbioinformatic[SDV]Life Sciences [q-bio][SDE]Environmental SciencesrRNA genepipeline[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyGnS-PIPEhigh throughput sequencingsoil microbial diversity
researchProduct

GnS-PIPE: an optimized bionformatic pipeline to efficiently assess microbial taxonomic diversity of complex environments using high throughput sequen…

2013

International audience; The rRNA genes (16S, 18S, ITS) are widely used to study microbial communities in soils, as they can be easily amplified from metagenomic DNA. Moreover, the recent development of high-throughput sequencing technologies allows the assessment of millions of sequences from a single metagenomic DNA. Some pipelines are already available (e.g. QIIME or Mothur) to efficiently treat such data. However, the development of bioinformatic tools must now be validated by various biological tests. This was particularly true for key steps to appraise microbial diversity and richness. Here, we present a new pipeline named GnS-PIPE, a software application performing bacterial, archaeal…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesbioinformatic[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyrRNA genepipeline[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyGnS-PIPEhigh throughput sequencingsoil microbial diversity
researchProduct