Fabrice Albert Martin-Laurent

The paper investigates microbial community composition and its relationship to biodegradation potential, finding that presence/absence data and machine learning models improve prediction of mineralisation.

This study evaluates the effects of individual and sequential plant protection product applications on soil microbes and nematodes in field conditions.

This study evaluates the efficiency and side effects of atrazine-degrading biocomposites in contaminated soil compared to free-living cells.

This study evaluates how environmental disturbances and pesticide mixtures affect soil microbial communities and nitrification processes.

The paper introduces a web-based workflow for designing strain-specific PCR/qPCR primers using microbial genomes, applied to assess Bacillus strain survival in soil.

The paper develops a protocol to build multi-degrading bacterial communities for bioremediation of pesticide-contaminated soils using genomic prediction and coalescence.