Search results for "soil microbial"

showing 10 items of 34 documents

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
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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
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Bridging microbial community ecology and ecosystem functioning

2014

Microbial communities have a central role in many ecosystem functions such as biogeochemical cycling. Large variation in N-fluxes has been widely documented, mirroring the complexity of the underlying mechanisms. However, application of molecular biology approaches during the last decade has given the opportunity to look beyond these fluxes and to study the genetic and the ecology of the microorganisms involved in N-cycling. In this talk, I will give examples of a trait-centered approach for bridging microbial community ecology, microbial processes and ecosystem functioning.

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesclimate changegreenhouse gas[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologysoil microbial ecologynitrogen
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Crosstalks between soil microbial communities and a nitrogen fixing legume species (medicago truncatula) during its Vegetative Stage

2010

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Scienceslegumes[SDV]Life Sciences [q-bio]Medicago truncatula[SDE]Environmental Sciencessoil microbialComputingMilieux_MISCELLANEOUSnitrogen
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Soil microbial diversity at the scale of the French national territory

2007

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmicrobe[SDV]Life Sciences [q-bio][SDE]Environmental Sciencessoil microbial
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Temporal dynamics of soil bacterial communities at a landscape scale: dependence to soil properties and agricultural practices.

2019

International audience; Soil microbial communities play a major role in agricultural functions and are an efficient indicator to evaluate the impacts of agricultural practices on soils. Studies on wide scales ranging from landscape to countries demonstrated that soil microbial communities were heterogeneously distributed in space under the dependence of soil properties (e.g. pH, soil texture, Organic matter Content) and agricultural practices. However, temporal dynamics of soil microbial communities at a landscape scale still need to be documented in order to go further in evaluating the sustainability of agricultural practices. In this extensive monitoring study, we focused on landscape dy…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmonitoring[SDV]Life Sciences [q-bio][SDE]Environmental Sciencessoil microbial communities[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologynext-generation sequençingagricultturelandscape
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Studying and modelling soil microbial communities dynamics at a landscape scale in response to agricultural practices

2019

Soil microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This will use a multi-d…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modelling[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyagricultural practices[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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Studying and modelling the dynamics of soil microbial communities at a landscape scale in response to agricultural practices

2019

National audience; Soil Microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation by proposing to farmers the tools necessary to assess the impacts of practice modifications on the soil microbial composition before implementing and validating them. The goal of this thesis is to characterize spatial and temporal dynamics of soil microbial communities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. This…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesparticipatory modellingagricultural practice[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyagent based modellingdecision support instrument (DSI)soil microbial ecology
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Microbial-biogeography at the scale of France by the use of molecular tools applied to the French soil quality monitoring network (RMQS)

2009

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencessoil microbial community diversitymicro-organismessoil library of RMQS[SDV]Life Sciences [q-bio][SDE]Environmental Sciencestaxa-area relationshipréseau de mesures de la qualité des solsfungal communitieséchantillonageComputingMilieux_MISCELLANEOUS
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Study and modelling of the impacts of agricultural practices on the abundance of soil microbial communities: dynamics at the landscape scale

2022

Soil Microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation in the agricultural sector. The goal of this thesis was to characterize spatial and temporal dynamics of soil microbialcommunities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. For this, a multi-disciplinary approach was used combining microbial ecology, environment assessment, spatial computer modeling, associated to a participatory app…

[SDV] Life Sciences [q-bio]écologie microbienne des solsagent based modellingmodélisation multi-agentsdecision support instrument (DSI)soil microbial ecologyoutil d’aide à la décision (OAD)
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