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Verrecchia, Eric
Résultat de la recherche
Use of the frc gene as a molecular marker to characterize oxalate-oxidizing bacterial abundance and diversity structure in soil
2009, Khammar, Nadia, Martin, Gaëtan, Ferro, Katia, Job, Daniel, Aragno, Michel, Verrecchia, Eric
Oxalate catabolism, which can have both medical and environmental implications, is performed by phylogenetically diverse bacteria. The formyl-CoA-transferase gene was chosen as a molecular marker of the oxalotrophic function. Degenerated primers were deduced from an alignment of frc gene sequences available in databases. The specificity of primers was tested on a variety of frc-containing and frc-lacking bacteria. The frc-primers were then used to develop PCR-DGGE and real-time SybrGreen PCR assays in soils containing various amounts of oxalate. Some PCR products from pure cultures and from soil samples were cloned and sequenced. Data were used to generate a phylogenetic tree showing that environmental PCR products belonged to the target physiological group. The extent of diversity visualised on DGGE pattern was higher for soil samples containing carbonate resulting from oxalate catabolism. Moreover, the amount of frc gene copies in the investigated soils was detected in the range of 1.64x10(7) to 1.75x10(8)/g of dry soil under oxalogenic tree (representing 0.5 to 1.2% of total 16S rRNA gene copies), whereas the number of frc gene copies in the reference soil was 6.4x10(6) (or 0.2% of 16S rRNA gene copies). This indicates that oxalotrophic bacteria are numerous and widespread in soils and that a relationship exists between the presence of the oxalogenic trees Milicia excelsa and Afzelia africana and the relative abundance of oxalotrophic guilds in the total bacterial communities. This is obviously related to the accomplishment of the oxalate-carbonate pathway, which explains the alkalinization and calcium carbonate accumulation occurring below these trees in an otherwise acidic soil. The molecular tools developed in this study will allow in-depth understanding of the functional implication of these bacteria on carbonate accumulation as a way of atmospheric CO2 sequestration. (c) 2008 Elsevier B.V. All rights reserved.
Bacterially induced mineralization of calcium carbonate in terrestrial environments: the role of exopolysaccharides and amino acids
2003, Braissant, Olivier, Cailleau, Guillaume, Dupraz, Christophe, Verrecchia, Eric
The oxalate-carbonate pathway in soil carbon storage: the role of fungi and oxalotrophic bacteria
2006, Verrecchia, Eric, Braissant, Olivier, Cailleau, Guillaume
Translation of energy into morphology: Simulation of stromatolite morphospace using a stochastic model
2004, Dupraz, Christophe, Pattisina, Ronny, Verrecchia, Eric
Stromatolites are examples of ail iterative system involving radiate accretive growth of microbial mats, biofilm and/or minerals that result from interaction between intrinsic and extrinsic factors, which progressively shape the final morphology. These interactions call neither be easily described by simple mathematical equations, nor by simple physical laws or chemical reactions. Therefore, a holistic approach that will reduce the system to a set of variables (which are combinations of natural variables) is proposed in order to create virtual morphologies which will be compared with their natural counterparts. The combination of both Diffusion Limited Aggregation (DLA) and cellular automata (CA) allows the exploration of the stromatolite morphological space and a representation of the intrinsic and extrinsic factors responsible for natural stromatolite morphogenesis. The holistic approach provides a translation in simple parameters of (I) the way that energy, nutrients and sedimentary particles reach the active surface of a future build-up, (2) flow these elements are distributed and used in order to create morphology, and (3) how simple environmental parameters, such as sedimentation, can disturb morphogenesis. In addition, most Precambrian stromatolite morphologies that are impossible to produce with numerical modeling such as the Kardar-Parisi-Zhan (KPZ) equation can be simulated with the DLA-CA model and this, with a minimum set of variables. (c) 2005 Elsevier B.V. All rights reserved.