The Axiom™ Microbiome Array enables the detection of all known microorganisms in a sample with species- and strain-level identification in a single, scalable assay. The proprietary photolithographic arrays help ensure fidelity and consistency across manufacturing batches, with designs available as long as required.
 

Using Axiom assay biochemistry, the Axiom Microbiome Solution interrogates non-polymorphic sequences in both family-conserved and target-specific regions from NCBI database sequences. The Axiom Microbiome Array detects over 12,000 species including archaea, bacteria, fungi, protozoa, and viruses. The array content is sample type agnostic, suitable for applications in nutrigenomics, agrigenomics, and animal research and modeling.

Microbiome-workflow

Highlights

  • Expert design for profiling human and animal microbiomes with a single assay
  • Detects greater diversity and higher resolution than 16s rRNA gene sequencing
  • Comprehensive coverage of over 11,000 organisms and five microbial domains: archaea, bacteria, fungi, protozoa, and viruses
  • Allows identification to the species, strain and sequence level; RNA virus detection using cDNA template
  • Flexible 24- and 96-array plate formats
  • Sample type agnostic: applications in nutrigenomics, agrigenomics, and animal research
  • Simplified microbial detection analysis

Applications

  • Assessment of animal gut microbial communities for feed optimization6
  • Ascertainment of livestock animal health
  • Microbial profiling for pathogen detection
  • Disease prevention research
  • Vivarium screening (monitoring for environmental and animal colony health)
  • Evaluation of microbial status and response to treatment
  • Evaluation of microbiota for soil productivity
  • Linkage studies (impact of human gut microbiota on disease state)
  • High-resolution profiling of probiotic and prebiotic mixtures


Microbiome presentation



        White paper - Microbial identification using Axiom® Microbiome Array versus 16S rRNA gene sequencing technology



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