Biology subjects

Thieffry, S.

Publications and source records attributed to Thieffry, S..

3 recordsLinked to original sources

bioRxiv2026

Deciphering the microbial architecture of pesticide and antibiotics biodegradation

Understanding emerging functions at the scale of a bacterial community is a major challenge in microbial ecology and could lead up to promising tools for engineering microbial communities, for example in bioremediation. Here, through a top-down approach we obtained compositional variants of pesticide and antibiotics-degrading communities and further investigated communities features associated with their degradation abilities. We first tested whether diversity index or functional genes abundance could reliably be used as a proxy for this function, and obtained encouraging, albeit variable results. Further, through the use of statistical tools borrowed from the genomic selection literature, we were able to derive accurate prediction of the mineralisation potential of a bacterial community, based on its composition. However, the parallel between genotype-phenotype and community composition-mineralisation potential suffers a crucial caveat: bacterial abundances vary on a much wider scale than allele dosage at a given locus and are prone to change over time (particularly at the mineralisation scale). Here we observed that using presence/absence data instead of relative abundance can overcome these limitations and provide a clearer functional signal for mineralisation prediction through linear regression models. Random forest can also intrinsically deal with microbial data without transformation and select for significant predictors. We suggest drawing inspiration from the tools and concepts used in genotype-phenotype mapping to elucidate microbial functions at the community level while keeping in mind the significant differences between these two fields. This parallel is here exemplified by the concept of microbial architecture of degrading functions, akin to the genetic architecture of phenotypic traits.

microbiology↗

bioRxiv2024

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

Parallel to the important use of pesticides in conventional agriculture there is a growing interest for green technologies to clear contaminated soil from pesticides and their degradation products. One specific technique, the inoculation of degrading micro-organisms in polluted soil, known as bioaugmentation, is a promising method still in needs of further developments. Specifically, improvements in the understanding of how degrading microorganisms must overcome abiotic filters and interact with the autochthonous microbial communities are needed in order to efficiently design bioremediation strategies. Here 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 used statistical methods stemming from genomic prediction to link community composition to herbicides degradation potentials. Our approach proved to be efficient with correlation estimates over 0.8 - between model predictions and measured pesticide degradation values. 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 with high GLY or IPU degradation ability based on their community-level properties. Finally, we evaluated the efficiency of constructed multi-degrading communities to remove pesticide contamination in a different soil. While results are less clear in the case of GLY, we showed an efficient transfer of degrading capacities 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 with the help of genomic prediction tools and coalescence, and proved their efficiency in a contaminated soil.

microbiology↗

bioRxiv2023

Bacterial pathogens dynamic during multi-species infections

Soft rot Pectobacteriacea (SRP) gathers more than 30 bacterial species that collectively rot a wide range of plants by producing and secreting a large set of plant cell wall degrading enzymes (PCWDEs). Worldwide potato field surveys identified 15 different SRP species on symptomatic plants and tubers. The abundance of each species observed during outbreaks varies over space and time and the mechanisms driving species shift during outbreak are unknown. Furthermore, multi-species infections are frequently observed and the dynamics of these coinfections are not well understood. To understand the dynamics of coinfections, we set up 16 different synthetic communities of 6 SRP strains to mimic coinfections. The bacteria present in each tested community were representative of 2 different species, with 3 strains per species. These communities were inoculated in potato tubers or on synthetic media and their outcome was followed by amplification and Illumina sequencing of the discriminatory housekeeping gene gapA. We also compared disease incidence and bacterial multiplication in potato tubers during mixed-species infection and single-species infection. A species that was unable to induce disease in potato was efficiently maintained and eventually became dominant in some of the communities tested, indicating that cheating can shape dominant species. Modeling indicates that the cost of PCWDEs production and secretion, the rate of potato degradation and the diffusion rate of degraded substrate could favor the cheater species. Interaction outcomes differed between potato tuber and synthetic medium, highlighting the driving effect of environmental conditions, with higher antagonistic interactions observed in potato tubers. Antagonistic interactions were strain specific and not species specific. Toxicity interference was also observed within some communities, allowing the maintenance of strains otherwise sensitive to toxic compounds. Overall, the results indicate that intraspecific competition, cooperation through trophic interaction and toxicity interference contribute to the maintenance of SRP diversity. The implications of these processes for epidemiological surveillance are discussed.

microbiology↗