Microbial ID, strain sub-typing, and infectious disease research panels for targeted sequencing
The evolution of Ion Torrent™ next-generation sequencing 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 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.
Through the use of targeted sequencing of specific genes, you can now identify the microbes within a mixed population, study potential virulence factors and transmission patterns, and discover mutations that may be associated with antibiotic resistance.
See product selection guides for more detail:
The Ion 520™ & Ion 530™ ExT Kit-Chef enables an automated workflow for long-read sequencing in less than 2 days, using the Ion Chef™ and Ion S5™ or Ion S5 XL Systems.
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.
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 S5 infectious disease application note
Ion AmpliSeq Infectious Disease Research Panels flyer
New 16S flyer
16S algorithm application note
Bacterial typing application note
Strain-Typing and Antibiotic Resistance Profiling From Research Samples Using Highly Multiplexed Targeted Library Construction with High Throughput Semi-Conductor Based Sequencing
Ion PGM™ System and PathAmp™ FluA Reagents—Influenza A whole-genome sequencing
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