Genomic evidence for better microbial R&D decisions
Selecting and developing a microbial strain requires more than a promising phenotype. Identity, genetic content, safety-related features and long-term stability can all influence performance, reproducibility and development risk.
Biomanda combines genomics, comparative bioinformatics and biological interpretation to help R&D teams evaluate strains objectively. Our analyses are built around the decision you need to make, from early candidate screening to production monitoring.
Questions we help answer
Which strains best match the target product or process profile?
Which genomic features distinguish the strongest candidates?
Are strain identity, purity and taxonomy supported by the data?
Are undesirable resistance, virulence or mobile elements present?
Has a strain remained genetically stable during development?
Which results require experimental validation before a decision?
From data to action
Instead of delivering isolated bioinformatics outputs, we organize results around candidate ranking, risk identification, evidence gaps and recommended next steps. This makes genomic information easier to integrate into multidisciplinary R&D programs.
Genomics for microbial strain selection
Genomic characterization complements phenotypic screening by revealing the identity, functional potential and distinctive features of each candidate strain.
Candidate characterization
sequencing data quality control and genome assembly;
taxonomic identification and strain identity confirmation;
genome completeness and contamination assessment;
consistent structural and functional annotation;
detection of plasmids, prophages and mobile elements;
screening for genes linked to safety, resistance or virulence;
analysis of metabolic pathways and functions of interest;
comparison with reference, parental or benchmark strains.
Comparing and prioritizing strains
average nucleotide identity and whole-genome similarity;
phylogenomic positioning and strain relationship analysis;
core-genome, accessory-genome and pangenome analysis;
strain-specific genes and genomic regions;
SNP, insertion/deletion and structural variant analysis;
gene presence/absence and functional profile comparison;
definition of genomic criteria for candidate ranking.
Strain identity and genetic stability
Microbial genomes can change through mutation, recombination, mobile element activity or plasmid loss. Monitoring those changes helps determine whether a strain remains suitable and consistent throughout development, storage, passaging and scale-up.
Stability study designs
comparison of master, working and production cell banks;
analysis before and after serial passaging;
comparison across fermentation runs, time points or production sites;
investigation following altered performance or phenotype;
assessment of long-term storage and revival;
verification of engineered or selected genomic features.
Changes we investigate
single nucleotide variants and small insertions or deletions;
gene gain, loss or disruption;
large deletions, duplications and rearrangements;
plasmid presence, absence or structural change;
mobile element movement and horizontal gene transfer;
contamination, mixed cultures or strain replacement.
Each difference is reviewed in context to distinguish sequencing artefacts and neutral diversity from changes that may affect phenotype, safety or process consistency.
Bioinformatics supporting R&D decision-making
Genomic results become valuable when they clarify a choice. Biomanda structures the analysis and reporting process around the scientific, technical and operational decisions facing your team.
Decision support throughout development
go/no-go assessment of microbial candidates;
prioritization of strains for phenotypic validation;
identification of safety or stability signals requiring investigation;
selection of reference strains and relevant comparators;
interpretation of unexpected performance changes;
definition of genetic identity and monitoring markers;
recommendations for additional sequencing or laboratory experiments;
data packages supporting internal review and scientific documentation.
PCR and qPCR monitoring tools
Comparative genomic data can be used to identify specific regions and design primers or probes for strain confirmation, traceability and contamination monitoring. Candidate assays can be evaluated in silico for specificity, inclusivity and exclusivity before laboratory validation.
Applications across microbial development programs
Candidate selection
Compare promising microorganisms using consistent genomic criteria and focus experimental resources on the candidates with the strongest evidence.
Strain characterization
Confirm identity, describe functional potential and document genomic features relevant to performance, quality, safety and differentiation.
Stability assessment
Detect genetic drift across passages, cell banks or process stages and determine whether observed changes require further investigation.
Process development
Investigate genomic explanations for altered productivity, robustness, substrate utilization, by-products or other process-relevant traits.
Cultures & probiotics
Compare strains, evaluate distinguishing features and generate genomic evidence for the development of cultures and microbial products.
R&D data integration
Connect genomic results with phenotypic, process and experimental metadata to develop clearer hypotheses and more informed study plans.
A workflow built around your R&D decision
1. Define the decision
We clarify the candidates, available evidence, project constraints and criteria that will determine the next development step.
2. Assess the data
We review sequencing quality, metadata and reference selection, then identify any gaps that could limit interpretation.
3. Build the analysis
We implement a reproducible workflow combining genome characterization, comparison, stability analysis and functional annotation.
4. Interpret the evidence
We prioritize findings according to biological relevance, confidence level, development objectives and potential risk.
5. Recommend next steps
We present decision-ready conclusions and propose targeted validation, monitoring or additional analyses where appropriate.
Deliverables adapted to your team
quality-control, assembly and strain identity results;
comparative genomic and phylogenomic analyses;
annotated variant and gene presence/absence tables;
functional and safety-related feature summaries;
strain stability assessment;
candidate comparison and evidence matrices;
clear figures, documented methods and processed data;
a tailored report with conclusions, limitations and recommendations.
Fields of application
Industrial biotechnology
Food & fermentation
Probiotics & cultures
Enzymes & ingredients
Animal health
Make your next strain decision with stronger genomic evidence
Whether you are screening candidates, confirming a production strain, investigating genetic drift or preparing the next stage of development, Biomanda can design a genomic analysis aligned with your R&D priorities.
