Evaluating microbial community composition through targeted genomic analysis
Indirect biological indicators, bulk chemistry, or laboratory observations can suggest biological processes are present, but they rarely resolve which organisms are responsible or what functional groups exists. This uncertainty can materially affect feasibility, treatment selection, and regulatory confidence when biological treatment is being considered.
Our microbial genomics capability combines DNA sequencing results with proprietary microbial databases and biogeochemical interpretation to provide greater taxonomic resolution and insight into microbial community structure. By evaluating dominant taxa, functional indicators, and patterns of spatial or temporal variability, the analysis helps assess whether proposed biological mechanisms are supported by the observed microbial community and identifies potential constraints, uncertainties, and changes relevant to treatment performance. Common challenges we help resolve include:
- Microbial communities are inferred indirectly without genetic resolution of composition or functional groups relevant to feasibility decisions.
- Biological treatment or attenuation assumptions advance without evidence that relevant microbial communities are present or viable.
- Spatial and temporal variability in microbial populations is not characterized at early decision points.
- Regulatory discussions reference biological processes without defensible genetic or taxonomic evidence to support interpretation.
- Early biological interpretations are treated as fixed despite uncertainty in microbial dynamics and environmental dependence.
