Engineering multi-degrading bacterial communities to bioremediate soils contaminated with pesticides residues (Q6716708)

These data and scripts are related to the article entitled "Engineering multi-degrading bacterialcommunities to bioremediate soils contaminated with pesticides residues". The objective of this study is to broaden our understanding of how degrading microorganisms must overcome abiotic filters and interact with the au-tochtonous microbial communities are needed in order to efficiently design bioremediation strategies.We designed a protocol aiming at studying the degradation of two herbicides, glyphosate (GLY)and isoproturon (IPU), via experimental modifications of two source bacterial communities. We usedstatistical methods stemming from genomic prediction to link community composition to herbicidesdegradation potentials. Then OTUs significantly associated with the degradation ability, and therefore identified as relevant by the models were confronted to the literature.Next, multi-degrading bacterial communities were obtained by coalescing bacterial communities withhigh GLY or IPU degradation ability based on their community-level properties. Finally, we evaluatedthe efficiency of constructed multi-degrading communities to remove pesticide contamination in a differ-ent soil. While results are less clear in the case of GLY, we showed an efficient transfer of degrading ca-pacities towards the receiving soil even at relatively low inoculation levels in the case of IPU. Altogether,we developed an innovative protocol for building multi-degrading simplified bacterial communities withthe help of genomic prediction tools and coalescence, and proved their efficiency in a contaminated soil. Data and codes needed to reproduce the statistical analyses presented in the manuscript are provided.