Actinomyces is a genus of the Actinobacteria class of bacteria. Actinomyces has been reported as an agent of actinomycosis-like infections and are associated with specific clinical syndromes. The 16S rRNA gene is a generally accepted molecular marker for bacteria, and is commonly used for bacterial identification and diversity analysis. We have developed validated primers that specifically amplify 16S rRNA gene in actinomycetes (such as bifidobacterium) and the optimized sequence assembly process, to improve the detection rate and accuracy of actinomycetes.
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We provide comprehensive diversity analysis of actinomycetes using molecular methods including 16S ribosomal RNA (rRNA) gene sequencing and amplified 16S ribosomal DNA restriction analysis (ARDRA). 16S rRNA sequencing generally involves the selective PCR amplification using appropriate primers that target the16S rRNA gene, followed by next/third generation sequencing. ARDRA is a reliable identification method based on restriction endonuclease (such as AluI, HaeIII, MspI, etc.) digestion of the amplified bacterial 16S rDNA. Our service can help with strain assignment and new species discovery.
Since actinomycetes have been considered as the richest source of secondary metabolites such as antibiotics, diversity analysis of actinomycetes aims to investigate the diversity of antibiotic-producing actinomycetes and accelerate the development of a novel antibiotic drugs. Diversity analysis of actinomycetes can also confirm the diagnosis of actinomycosis. The importance of this analysis has been demonstrated in areas such as drug discovery and development, agricultural production, petroleum exploration, and industrial manufacturing, etc.
Our bioinformatics analysis includes six parts: raw data processing, taxonomic assignment, diversity and richness analysis, comparative analysis, evolutionary analysis, and custom analysis. We are flexible to your needs.
|Raw data processing||Filtering and trimming of poor-quality sequences|
|Taxonomic assignment||Operation Taxonomic unit (OTU) clustering|
|Diversity and richness analysis||Venn diagram, Heatmap, Alpha diversity analysis, Beta diversity analysis, etc.|
|Comparative analysis||PCoA analysis, PCA analysis, NMDS analysis, LEfSe analysis, etc.|
|Evolutionary analysis||(Un)weighted UniFrac analysis, phylogenetic trees|
|Custom analysis||CCA analysis, Network analysis, etc.|
Deliverables: Raw sequencing data (FASTQ), trimmed and stitched sequences (FASTA), quality-control dashboard, statistic data, and your designated bioinformatics report.