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Caroline Michel

Publications and source records attributed to Caroline Michel.

8 recordsLinked to original sources
PubMed2025

Predicting coarse-grained representations of biogeochemical cycles from metabarcoding data.

MOTIVATION: Taxonomic analysis of environmental microbial communities is now routinely performed thanks to advances in DNA sequencing. Determining the role of these communities in global biogeochemical cycles requires the identification of their metabolic functions, such as hydrogen oxidation, sulfur reduction, and carbon fixation. These functions can be directly inferred from metagenomics data, but in many environmental applications metabarcoding is still the method of choice. The reconstruction of metabolic functions from metabarcoding data and their integration into coarse-grained representations of biogeochemical cycles remains a difficult bioinformatics problem today. RESULTS: We developed a pipeline, called Tabigecy, which exploits taxonomic affiliations to predict metabolic functions constituting biogeochemical cycles. In a first step, Tabigecy uses the tool EsMeCaTa to predict consensus proteomes from input affiliations. To optimize this process, we generated a precomputed database containing information about 2404 taxa from UniProt. The consensus proteomes are searched using bigecyhmm, a newly developed Python package relying on Hidden Markov Models to identify key enzymes involved in metabolic function of biogeochemical cycles. The metabolic functions are then projected on coarse-grained representation of the cycles. We applied Tabigecy to two salt cavern datasets and validated its predictions with microbial activity and hydrochemistry measurements performed on the samples. The results highlight the utility of the approach to investigate the impact of microbial communities on biogeochemical processes. AVAILABILITY AND IMPLEMENTATION: The Tabigecy pipeline is available at https://github.com/ArnaudBelcour/tabigecy. The Python package bigecyhmm and the precomputed EsMeCaTa database are also separately available at https://github.com/ArnaudBelcour/bigecyhmm and https://doi.org/10.5281/zenodo.13354073, respectively.

Metagenomics↗
PubMed2006

Cr(VI) quantification using an amperometric enzyme-based sensor: interference and physical and chemical factors controlling the biosensor response in ground waters.

The development of an amperometric enzyme-based sensor for chromate (CrO(4)(2-)) quantification in ground waters was investigated. Crucial physical and chemical factors characterising ground waters were tested for their influence or interference on chromate quantification: pH (7.6-8.5), temperature (9-25 degrees C), ionic strength (0-0.2M), oxygen, metals, bicarbonate and sulphate. The biosensor's response was dependent on temperature and pH as sensitivity increased with temperature and was higher at pH 7.6 than at pH 8.5. Sensitivity decreased with ionic strength until 0.1M, and was stable for higher values. Dissolved oxygen did not allow chromate quantification when it was present, but O(2) could be eliminated by adding Na(2)SO(3) or bubbling nitrogen gas into the solution. Bicarbonate did not interfere with chromate quantification by the biosensor. Sulphate was detected with a detection threshold 80 times higher than that of chromate and a lower sensitivity. Several metals (V(V), W(VI), Mn(VII), Mo(VI)) similar to chromate due to their oxidative properties and structure (oxyanions) were tested as possible interfering compounds. The sensitivity of the biosensor for these metals was low and the detection level was 30 times higher than that of chromate. These metal concentrations are usually weaker than chromate concentration in polluted ground waters so that dilution of the sample should allow chromate quantification by the biosensor. This study shows that the cytochrome c(3)-based sensor can detect compounds other than chromate but with a lower sensitivity. Although non-specific for the detection of chromate, it can however be adapted and used for the quantification of chromate in ground waters containing low sulphate concentration.

Anions↗
PubMed2006

Holistic processing is finely tuned for faces of one's own race.

Recognizing individual faces outside one's race poses difficulty, a phenomenon known as the other-race effect. Most researchers agree that this effect results from differential experience with same-race (SR) and other-race (OR) faces. However, the specific processes that develop with visual experience and underlie the other-race effect remain to be clarified. We tested whether the integration of facial features into a whole representation-holistic processing-was larger for SR than OR faces in Caucasians and Asians without life experience with OR faces. For both classes of participants, recognition of the upper half of a composite-face stimulus was more disrupted by the bottom half (the composite-face effect) for SR than OR faces, demonstrating that SR faces are processed more holistically than OR faces. This differential holistic processing for faces of different races, probably a by-product of visual experience, may be a critical factor in the other-race effect.

Adolescent↗
PubMed2005

The respective role of low and high spatial frequencies in supporting configural and featural processing of faces.

One distinctive feature of processing faces, as compared to other categories, is thought to be the large dependence on configural cues such as the metric relations among features. To test the role of low spatial frequencies (LSFs) and high spatial frequencies (HSFs) in configural and featural processing, subjects were presented with triplets of faces that were filtered to preserve either LSFs (below 8 cycles per face width), HSFs (above 32 cycles per face width), or the full frequency spectrum. They were asked to match one of two probe faces to a target face. The distractor probe face differed from the target either configurally, featurally, or both featurally and configurally. When the difference was at the configural level, performance was better with LSF faces than with HSF faces. In contrast, with a featural difference, a strong performance advantage was found for HSF faces as compared to LSF faces. These results support the dominant role that LSFs play in the configural processing of faces, whereas featural processing is largely dependent on HSFs.

Adult↗
PubMed2003

Amperometric cytochrome c3-based biosensor for chromate determination.

The chromate reductase activity of cytochrome c(3) (Cyt c(3), M(r) 13000), isolated from the sulfate-reducing bacterium Desulfomicrobium norvegicum, was used to develop an amperometric biosensor to measure chromate (CrO(4)(2-)) bioavailability. The performance of various biosensor configurations for qualitative and quantitative determination of Cr(VI) was studied. Biosensor properties depend on the technique used to immobilize the enzyme on the electrode (glassy carbon electrode). Immobilization of Cyt c(3) by entrapment in poly 3,4-ethylenedioxythiophene films denatured the enzyme, while application of an adsorption technique did not affect enzyme activity but the detection range was limited. The best results were obtained with dialysis membranes, which allowed the determination of Cr(VI) from 0.20 to 6.84 mg l(-1) (3.85-132 microM) with a sensitivity of 35 nA mg(-1) l (1.82 nA microM(-1)). No interference was observed with As(V), As(III) and Fe(III). Only a small amount of Cyt c(3) (372 ng of protein) was needed for this biosensor.

Biosensing Techniques↗
PubMed2002

The metal reductase activity of some multiheme cytochromes c: NMR structural characterization of the reduction of chromium(VI) to chromium(III) by cytochrome c(7).

The redox reaction between CrO(4)(2-) and the fully reduced three-heme cytochrome c(7) from Desulfuromonas acetoxidans to give chromium(III) and the fully oxidized protein has been followed by NMR spectroscopy. The hyperfine coupling between the oxidized protein protons and chromium(III), which remains bound to the protein, gives rise to line-broadening effects on the NMR resonances that can be transformed into proton-metal distance restraints. Structure calculations based on these unconventional constraints allowed us to demonstrate that chromium(III) binds at a unique site and to locate it on the protein surface. The metal ion is located 7.9 +/- 0.4 A from the iron of heme IV, 16.3 +/- 0.7 A from the iron of heme III, and 22.5 +/- 0.5 A from the iron of heme I. Shift changes caused by the presence of unreactive MoO(4)(2-), a CrO(4)(2-) analogue, indicate the involvement of the same protein area in the anion binding. The titration of the oxidation of cytochrome c(7) shows a detailed mechanism of action. The presence of a specific binding site supports the hypothesis of the biological role of this cytochrome as a metal reductase.

Binding Sites↗