Search results for "community"

showing 10 items of 2132 documents

Microbial metacommunity: a METABAR coding approach

2017

Microbial metacommunity: a METABAR coding approach. 2017 Scientific MEM days: Journées scientifiques MEM (Métaomiques et écosystèmes microbiens)

[SDV] Life Sciences [q-bio]communauté microbienne[ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]microbial community
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Predicting pesticide biodegradation potential from microbial community composition: new tools for bioremediation

2022

Bioaugmentation is receiving increasing attention as a green technology to treat contaminatedareas by inoculating specific biodegrading microorganisms. However, our understanding of therole of microbial community composition and structure in the expression of contaminantdegradation potential is yet to improve. It could help making wise choice for microorganisms –community or specific strain – to be inoculated in contaminated soils with consideration to theirindigeneous microbiota.Here we tried to predict the microbial degradation of two herbicides, glyphosate andisoproturon by means of penalized regression and machine learning methods routinely used ingenomic selection. To this end, we cond…

[SDV] Life Sciences [q-bio]glyphosateisoproturonmicrobial community compositionmicrobial degradationgenomic selection
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Studies of root colonization by a microcosm community of arbuscular mycorrhizal fungi unsing nested PCR

1998

International audience

[SDV] Life Sciences [q-bio]microcosm community of arbuscular mycorrhizal funginested PCR[SDV]Life Sciences [q-bio]root colonizationComputingMilieux_MISCELLANEOUS
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Can conservation agriculture deeply change the structure of weed communities

2023

International audience

[SDV] Life Sciences [q-bio]no tillagefield plant community[SDV]Life Sciences [q-bio]life formsdiversity
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Designing ‘trait-based null model’ approaches to investigate community assembly mechanisms

2014

SPEEAECOLDURGEAPSIéquipe CAPA; During the last decade, many studies have addressed the signature of community assembly processes by assessing the deviation of a functional diversity pattern from that expected in null communities, using a randomization algorithm. The basic principle has been to compare the functional structure of a ‘local community’ with a set of randomly generated communities from a ‘regional species pool’. Specifically, it allows assessing the extent to which species constituting a community are functionally more or less similar than expected under the assumption of a random assembly, thus revealing the influence of assembly processes such as competition or environmental a…

[SDV] Life Sciences [q-bio]spatial scalefuntional diversityrandom community assembly[ SDV ] Life Sciences [q-bio]competitive dominance[SDV]Life Sciences [q-bio]null modellimiting similarityenvironmental filteringspecies pool
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Diversity and complexity of microbial communities from a chlor-alkali tailings dump

2015

Abstract Revegetation of the tailings dumps produced by various industrial activities is necessary to prevent dust storms and erosion and represents a great challenge for ecological restoration. Little is known about the microbial colonisation and community structure of revegetated tailings following site exploitation. Here, we report the sequencing of 16S rRNA and internal transcribed spacer (ITS) fungal RNA gene amplicons from chlor-alkali residue and from an adjacent undisturbed soil to define the composition and assembly of the rhizosphere microbial communities. After quality filtering, a total of 72,373 and 89,929 bacterial sequences and 122,618 and 111,209 fungal sequences remained fo…

[SDV]Life Sciences [q-bio]Microbial networks010501 environmental sciences01 natural sciences[ SDE ] Environmental SciencesElectric network topologyHebelomaBacteria (microorganisms)ComputingMilieux_MISCELLANEOUS2. Zero hunger0303 health sciencesRhizosphereBar codingEcologyEcologySoil physico-chemical propertiesFungal communityRhizosphere microbial communitiesAnthropogenic soilsSoil typeTailingsTailings dumpSoil conservationBacterial communityGammaproteobacteriaComplex networksMicroorganismsSoil ScienceBiologyMicrobiology03 medical and health sciencesRevegetationMicrobial ecologyPseudomonasGammaproteobacteriaBotanyDominance (ecology)RevegetationEcological restoration030304 developmental biology0105 earth and related environmental sciencesBar-codingGeoporaBacteria15. Life on landbiology.organism_classificationMicrobial population biologyInternal transcribed spacers13. Climate actionRNA
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Spatial distribution of ammonia-oxidizing bacteria and archaea across a 44-hectare farm related to ecosystem functioning

2011

Characterization of spatial patterns of functional microbial communities could facilitate the understanding of the relationships between the ecology of microbial communities, the biogeochemical processes they perform and the corresponding ecosystem functions. Because of the important role the ammonia-oxidizing bacteria (AOB) and archaea (AOA) have in nitrogen cycling and nitrate leaching, we explored the spatial distribution of their activity, abundance and community composition across a 44-ha large farm divided into an organic and an integrated farming system. The spatial patterns were mapped by geostatistical modeling and correlations to soil properties and ecosystem functioning in terms …

[SDV]Life Sciences [q-bio]SoilAbundance (ecology)Soil pHsoil microcosmPhylogenySoil Microbiologyabundanceagricultural soilEcologyBetaproteobacteriaAgricultureHydrogen-Ion Concentrationnitrificationnitrate leaching[SDE]Environmental Sciencesammonia oxidationcommunityOriginal ArticleSoil microbiologyOxidation-ReductionPolymorphism Restriction Fragment LengthDNA BacterialBiogeochemical cycleoxidationNitrogengrowthBiologypatternMicrobiologydiversityscaleAmmoniaEcosystemNitrogen cycleEcology Evolution Behavior and SystematicsEcosystemNitritesNitratesBacteriaSoil carbonSequence Analysis DNAArchaeaaobCarbonaoanitrite reductaseGenes BacterialSpatial ecologyamoa
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The Largest Subunit of RNA Polymerase II as a New Marker Gene to Study Assemblages of Arbuscular Mycorrhizal Fungi in the Field

2014

Due to the potential of arbuscular mycorrhizal fungi (AMF, Glomeromycota) to improve plant growth and soil quality, the influence of agricultural practice on their diversity continues to be an important research question. Up to now studies of community diversity in AMF have exclusively been based on nuclear ribosomal gene regions, which in AMF show high intra-organism polymorphism, seriously complicating interpretation of these data. We designed specific PCR primers for 454 sequencing of a region of the largest subunit of RNA polymerase II gene, and established a new reference dataset comprising all major AMF lineages. This gene is known to be monomorphic within fungal isolates but shows an…

[SDV]Life Sciences [q-bio]lcsh:MedicineDNA barcodinglaw.inventionGlomeromycotaPlant MicrobiologylawMycorrhizaeCommunity Assemblylcsh:SciencePolymerase chain reactionPhylogenyGeneticsPrincipal Component AnalysisMultidisciplinaryEcologycroissance des plantesFungal geneticsAgricultureBiodiversityExonsSoil EcologyCommunity Ecology[SDE]Environmental SciencesRNA Polymerase IIResearch ArticleSequence analysisGenes FungalMolecular Sequence DataSoil ScienceMycologyBiologychampignon mycorhizienMarker geneMicrobiologyZea mayspcrMutualismBotany[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyDNA Barcoding TaxonomicGlomeromycotalcsh:RfungiEcology and Environmental SciencesBiology and Life SciencesRibosomal RNAbiology.organism_classificationSpecies InteractionsProtein SubunitsPyrosequencinglcsh:QMycorrhizaAgronomic Ecologyqualité du solAgroecologyPLoS ONE
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Toward a socio-cognitive approach of spatial data co-production

2010

The abilities of territorial communities to understand and control their development in a sustainable and equitable way, depend on territorial information sharing. In this context, the paper intends to understand and analyse the issues of spatial data co-production process. It provides understanding and operation elements so that spatial data sharing can progressively evolve into geomatics learning networks, also termed "communities of practice". This communities of practice offer, in our view, one of the most important component of Territorial Intelligence

[SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnologycommunity of practicecommunauté de pratiqueréseau apprenant.[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology[ SHS.HISPHILSO ] Humanities and Social Sciences/History Philosophy and Sociology of Sciences[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciencesco-production[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnology[SHS.HISPHILSO] Humanities and Social Sciences/History Philosophy and Sociology of Sciencesdonnée géographiquespatial dataintelligence territorialelearning networks.territorial intelligence
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Close-Range Photogrammetric Tools for Epigraphic Surveys

2016

In this article, we present a method to carry out a computerized epigraphic survey of historic stones and their engraved epigraphy. In fact, the preservation of archaeological objects has always been an issue of concern for the research community. On the one hand, the fragility of the objects limits their study. On the other hand, such objects are housed in museums, libraries, and institutions worldwide, locations that significantly limit their accessibility. Different survey methods have been carried out in these attempts to overcome the aforementioned limitations. Among them, the MicMac open source software was used in this work to survey and process the dense correlation of the hieroglyp…

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory020207 software engineering02 engineering and technologyConservationOpen source softwareComputer Graphics and Computer-Aided DesignArchaeologyComputer Science ApplicationsClose rangeEpigraphyCultural heritageSurvey methodologyGeographyPhotogrammetryResearch community11. Sustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputingMilieux_MISCELLANEOUSInformation Systems
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