In industrial microbiology, two microbial strains belonging to the same species can show very different behaviours. They may differ in growth rate, stress resistance, fermentation performance, aroma production, stability, safety profile or ability to adapt to a specific process. Species identification alone is therefore often insufficient to support R&D decisions.
Comparative genomics provides a deeper level of analysis by comparing complete or draft genomes from several strains. It helps identify genetic differences that may explain phenotypic diversity and guide strain selection, process optimisation or microbial risk assessment.
Classical microbiology and molecular biology tools can confirm that a strain belongs to a given species or carries a specific marker. However, industrial performance is often influenced by many genomic features distributed across the genome. These features may include single nucleotide polymorphisms, gene gain or loss, plasmids, genomic islands, mobile genetic elements, structural variations or differences in genome organisation.
Comparative genomics allows researchers and industrial teams to move beyond simple identification. It can reveal whether strains are closely related, whether a candidate strain carries specific functional genes, whether a production strain is genetically stable, or whether several isolates represent distinct technological groups.
This approach is particularly relevant for bacteria, yeasts and filamentous fungi used in fermentation, probiotics, food ingredients, enzymes, biocontrol or animal health applications.
A comparative genomics project can explore several complementary levels of genomic variation. SNP analysis identifies point mutations between strains and can be useful for phylogeny, traceability and fine-scale discrimination. Gene presence or absence analysis helps distinguish the core genome, shared by all strains, from the accessory genome, which may contain genes involved in adaptation, metabolism or virulence.
Pangenome analysis provides an overview of the complete genetic diversity available within a group of related strains. Synteny analysis compares genome organisation and can reveal large rearrangements, inversions, insertions or deletions. Plasmid and mobile element detection can also be important, especially when technological traits or safety concerns are associated with transferable genetic elements.
By combining these analyses, comparative genomics provides a structured view of genomic diversity and helps connect molecular variation with biological or industrial questions.
In fermentation, strain selection is a strategic decision. A strain may be chosen for its robustness, productivity, metabolic profile, ability to dominate a microbial ecosystem, resistance to process stress or capacity to generate specific organoleptic compounds. Comparative genomics can support this decision by identifying genetic traits associated with these properties.
For example, strains used in dairy, wine, beer, plant-based fermentation or probiotic development may share the same species name but differ substantially in their accessory genome. These differences can influence sugar utilisation, acid tolerance, aroma production, bacteriocin production, interaction with other microorganisms or survival during industrial processing.
Comparative genomics can therefore help R&D teams select better candidates, understand unexpected behaviour, protect strain portfolios and build a stronger scientific basis for industrial development.
The value of comparative genomics does not come only from producing genomic files. Its main value lies in interpretation. Raw sequencing data must be assembled, annotated, compared and translated into biological meaning. This requires bioinformatics expertise, knowledge of microbial biology and an understanding of the industrial question behind the analysis.
Depending on the project, the objective may be to classify strains, detect genomic markers, evaluate strain stability, investigate contamination, compare a proprietary strain with public genomes, or identify genetic features that could explain a technological phenotype.
A well-designed comparative genomics study can reduce uncertainty before investing in scale-up, formulation, patent strategy, validation studies or regulatory documentation.
Biomanda provides bioinformatics services for genomics, metagenomics and molecular biology projects. In comparative genomics, Biomanda can support genome assembly, genome annotation, SNP detection, pangenome analysis, core genome comparison, accessory genome analysis, synteny analysis and interpretation of genomic differences between microbial strains.
These analyses can be adapted to different industrial contexts, including food fermentation, environmental microbiology, animal health, microbial ecology and applied R&D. The objective is not only to generate results, but to provide a clear biological interpretation that can support practical decisions.
For companies working with microbial strains, comparative genomics can become a powerful tool to understand strain diversity, document strain value and improve the robustness of R&D strategies.
Comparative genomics is becoming an essential approach for industrial strain selection. By comparing genomes at multiple levels, it helps explain why closely related strains may display different biological and technological properties.
For industrial microbiology, fermentation and applied biotechnology, this approach provides a bridge between sequencing data and operational decisions. It supports strain selection, strain monitoring, genomic characterisation and the development of stronger microbial portfolios.