Microbial ID, strain sub-typing, AMR detection, and infectious disease research panels for targeted sequencing
The need for faster results and better outcomes in disease research has resulted in a migration from traditional pathogen identification techniques, such as culture assays and rapid biochemical methods, to molecular-based methods like next-generation sequencing (NGS).
The evolution of Ion Torrent NGS has enabled researchers to take advantage of increased throughput, higher accuracy, and longer reads to produce rapid and accurate sequencing of microbes with streamlined sample preparation and a simple and optimized data analysis workflow. Ion Torrent sequencing has been critical in facilitating rapid research results from archived samples for disease surveillance, outbreak investigation, and disease etiology determination. Downstream of whole genome microbial sequencing, data analysis methods include de novo and reference-guided assembly, antimicrobial resistance detection, and typing of microbial strains.
For targeted sequencing of a specific set of genes, such as 16S rRNA, Ion AmpliSeq technology delivers simple and fast library construction. Based on ultrahigh-multiplex PCR, Ion AmpliSeq technology requires as little as 1 ng of input DNA. Through the use of targeted sequencing, researchers can efficiently identify the microbes within a mixed population without the need to culture samples, perform research on retrospective outbreak samples, and discover mutations that may be associated with antibiotic resistance.
Deep-coverage whole-genome sequencing of microbial organisms is the ultimate tool for discovering the full range of genetic variations, including SNPs, insertions, deletions, inversions and complex rearrangements. It is used to characterize and discover new organisms or to type specific bacterial and viral organisms.
With Ion AmpliSeq technology, you can now perform targeted sequencing of specific genes to identify the microbes within a mixed population, study potential virulence factors and transmission patterns, and discover mutations that may be associated with antibiotic resistance.
New solutions for microbial analysis
New Ion AmpliSeq Pan-Bacterial and Ion AmpliSeq Antimicrobial Resistance community panels offer fast and easy microbial identification and AMR analysis in mixed samples.
The Ion 520 & Ion 530 ExT Kit-Chef enables an automated workflow for long-read sequencing in less than two days using the Ion Chef Instrument and the Ion GeneStudio S5, S5 Plus, or S5 Prime System.
When sequencing with Ion PGM Hi-Q View sequencing chemistry, you can now see the success of your templating using colored Ion Sphere Particles (ISPs) and see increased coverage in GC regions.
When a few hours can make all the difference, the Ion PGM Template IA Kit helps reduce the time required for template preparation by half, when compared to other template prep workflows for Ion PGM System, enabling the fastest workflow for microbial sequencing.
Customer experience video: The diversity of microbes
Using Ion 16S sequencing for clinical and environmental research applications
After decades of analyses and hundreds of studies, we’ve learned the diversity of microbes is even greater than imagined. And the diversity of these species can tell us about the well-being of an ecosystem or how their interactions may be linked to diseases such as Inflammatory bowel disease, obesity, and chronic wounds. Hear how Dr. George Watts and Dr. Charles Li are using Ion 16S sequencing in their clinical and environmental research applications.
Microbial sequencing literature & publications
Ion Torrent sequencing is cited in more than 900 peer-reviewed publications on microbial genome and metagenome sequencing.
Bacterial whole genome sequencing and typing
Soni I, et al. (2015). Draft Genome Sequenci of Methicillin-Sensitive Staphylococcus aureus ATCC 29213, ATCC 29213 Genome Announc 3(5): e01095-15. DOI: 10.1128/genomeA.01095-15
Zhang Y, et al. Isolation and characterization of H7N9 avian influenza A virus from humans with respiratory diseases in Zhejiang, China. Virus Res. 2014 Aug 30; 189:158-64. DOI:10.1016/j.virusres.2014.05.002
16S and metagenome sequencing
Candon S, et al. (2015) Antibiotics in Early Life Alter the Gut Microbiome and Increase Disease Incidence in a Spontaneous Mouse Model of Autoimmune Insulin-Dependent Diabetes. PLoS ONE 10(5): e0125448. doi:10.1371/journal.pone.0125448
For Research Use Only. Not for use in diagnostic procedures.