Microbiological quality of soils

Genomics enables the development of a new form of agriculture, adopting a more holistic approach that focuses on the interactions between plants and micro-organisms.
It specifically allows us to highlight the interactions that soil bacteria, yeasts and fungi can have with different crops, whether they are annual or perennial.
GenoScreen has established its expertise in this field by contributing, in a pioneering position, in national projects such as BIMM-SOL and GenoSol, which focused on the microbiological quality of soils.

GenoScreen’s offer to understand the microbiological component of soils

GenoScreen helps you to identify the microbiological composition of soils, reveal their properties and act on them, either by using inputs or by modifying your farming practices. Our services and solutions include:

  • Study of the microbiological component of soils: taxonomy of the microorganisms presents and measurement of the fungal/bacterial balance
  • Identification and characterisation of bioinputs (biostimulants and biopesticides) along with studying their impact on soil microbiological quality
  • Analysis of the microbiological composition of soils at different times and under various conditions (crops, ploughing, inputs, climate, etc.)
  • Support for research, particularly in the development of new inputs

Soil study techniques and methods

Our analysis solutions are based on the latest techniques available (Illumina, PacBio and ONT sequencers), and include a wide range of methods:

  • NGS (Next-Generation Sequencing): Genome studies using the latest sequencing technologies 
  • Molecular metabarcoding: Taxonomic study of microbial populations
  • Metagenomics or environmental genomics: Study of the genetic content of samples within an ecosystem to reveal both taxonomy and putative functions
  • Metatranscriptomics: Study of all active microbial genes and pathways in a sample (the transcriptome)
  • qPCR (Quantitative Polymerase Chain Reaction): Quantification of microorganisms of interest present in a sample

These analyses, along with the conclusions and solutions they provide, require the ability to access repositories of characterised genomic data. Such data repositories can be found in databases of varying degrees of specialisation and documentation. In this regard, our expertise led us to select the best databases and to develop our own, as well as the ability to utilise them effectively.


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