LHOMME Chloen
Influence of veterinary pharmaceuticals exposure on microbial functions, diversity & antimicrobial resistance development & dissemination in soil
University of Thessaly, Greece
Chloen's ID card

BACKGROUND

Global contamination of soil and aquatic ecosystems by pharmaceutical and microbiological pollutants (such as antimicrobial-resistant microorganisms and/or pathogens) raises severe concerns about impacts on ecosystem health and repercussions on humans and animals. Preserving ecosystems from adverse ecotoxicological effects of pharmaceuticals and their transformation products, and limiting the environmental spread of antimicrobial resistance and pathogens is imperative to reach several UN Sustainable Development Goals as well as the European Green Deal, Water Framework Directive and Biodiversity Strategy for 2030. In this context, the main scientific objective of Pharm-ERA is to develop and implement innovative concepts, methods and strategies to improve the monitoring and assessment of the environmental effects and risks of pharmaceuticals, their transformation products, antimicrobial resistances and pathogens from terrestrial to aquatic environments. The ultimate goal is to provide scientific evidence and expertise to contribute to reducing the environmental spread and impact of these chemical and microbiological contaminants and to preserve microbial diversity and functions across the soil-water-sediment continuum.

DESCRIPTION OF THE PhD PROJECT

Veterinary pharmaceuticals enter soil through various routes imposing pollution, toxicity and selection pressure to the soil microbiota. However, the true extent of their impact on the diversity and function of the soil microbiota, which constitute the main contributors to several ecosystemic services, but also the threats for soil food web have not been fully understood.
The project’s main aim is to determine the veterinary pharmaceuticals (PhACs) effects on soil microbiota and the associated risk for dispersal of antimicrobial resistance (AMR). This main objective will be achieved through a series of research and technical objectives like:
- O1: define the effects of veterinary PhACs on soil microbial diversity and functions within and across the soil food web;
- O2: explore potential interactive effects of PhACs with other soil-relevant contaminants (e.g pesticides, anthelminthics, plastics etc);
- O3: investigate the role of transformation products on soil microbial toxicity;
- O4: determine PhACs contribution in the dispersal of ARGs in soil ;
- O5:  disentangle the role of soil mobilome on ARGs environmental dispersal.
In this frame, selected veterinary pharmaceuticals (antibiotics and anthelminthics) either alone or in combination with other organic pollutants commonly encountered in soil (e.g. pesticides, microplastics) will be at a first stage (Tier I) assayed in single species tests for their toxicity on nitrifiers and arbuscular mycorrhizal fungi - two key functional soil microbial groups with bioindicator value. The outcome of Tier I assays will direct us to soil assays (Tier II and III) were the toxicity of selected (based on Tier I) pharmaceuticals (alone and in combination with other pollutants) will be tested for their effects on the diversity and functioning of the soil microbiota using a range of molecular (q-PCR/RT-q-PCR) and omic tools (amplicon sequencing) combined with the necessary bioinformatic and biostatistics tools. In addition, the dissipation and transformation of pharmaceuticals in soil will be monitored to clarify the level and the duration of the exposure but also to enable potential identification of transformation products (TPs) with toxicity potential. Such TPs, if identified, will be tested for validation of the direct toxicity to the soil microbiota via single species test assays (returning to Tier I).
Finally, the contribution of pharmaceuticals in the development of AMR traits and the role of mobilome and plasmidome in the dissemination of AMR traits will be followed in soil via the use of q-PCR and plasmidome metagenomic analysis while other approaches (e.g. Hi-C metagenomics) will be explored to resolve the mechanism of AMR dispersal. These data will be further utilized for environmental risk assessment of AMR.