0000000000607786
AUTHOR
Sylvia Thieffry
showing 3 related works from this author
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…
Predicting pesticide biodegradation potential from microbial community composition : new tools for bioremediation
2022
Bioaugmentation is receiving increasing attention as a green technology to treat contaminated areas by inoculating specific biodegrading microorganisms. However, our understanding of the role of microbial community composition and structure in the expression of contaminant degradation 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 their indigeneous microbiota. Here we tried to predict the microbial degradation of two herbicides, glyphosate and isoproturon by means of penalized regression and machine learning methods routinely used in genomic selection. To this end,…
Nouveaux outils en bioremédiation : prédiction du potentiel de dégradation d’une communauté à partir de sa composition et création de communautés mul…
2023
En bioremédiation, la bioaugmentation consiste en l’introduction de microorganismes dans un milieu contaminé afin d’augmenter et/ou de suppléer la population bactérienne en place, dans l’objectif de le dépolluer. Cette approche est cependant limitée par la difficulté de choisir des microorganismes efficients - communauté ou souche spécifique – à inoculer, en lien avec les conditions abiotiques et les microorganismes indigènes du milieu pollué.Dans ce travail nous avons cherché à prédire le potentiel microbien de dégradation de deux pesticides, le glyphosate et l’isoproturon, de communautés microbiennes telluriques en utilisant des méthodes statistiques issues de la prédiction génomique. Pou…