Genomic surveillance with next-generation sequencing (NGS) can track infectious disease transmission and identify novel strains of coronavirus and other emerging pathogens. With near complete sequence data of pathogen genomes, we can implement effective infectious disease surveillance strategies to help prevent further transmission and infection.
Infectious disease surveillance with NGS can:
Genomic surveillance helps public health officials track the path of an epidemic, perform contact tracing, determine the rate of pathogen evolution, and understand if a pathogen is changing in ways that could impact diagnostic or therapeutic effectiveness.
NGS-based methods for pathogen surveillance deliver detection capabilities with exceptional scalability, speed, and compatibility for high throughput applications. These methods are generally categorized into three main applications: whole-genome analysis using amplicon sequencing, targeted analysis via hybrid capture sequencing, and comprehensive sampling analysis with shotgun metagenomic sequencing. Choosing the specific approach for pathogen detection depends on the testing needs and laboratory capabilities as shown in the table below.
Detect and fully characterize a known virus. Whole genome sequencing via an amplicon approach is ideal for known viruses with small genomes. This method involves analyzing genomic regions of interest with ultra-deep sequencing of PCR amplicons.
Detect and characterize coronaviruses, flu viruses, and other pathogenic organisms, as well as associated antimicrobial resistance alleles. These insights can help public health officials monitor outbreaks and optimize infection control strategies. This method captures genomic regions of interest via hybridization to target-specific probes.
Comprehensively sequence all organisms in a given sample and identify novel, or emerging pathogens such as mokeypox virus. This NGS method can help accelerate outbreak investigations and support development of new laboratory tests.
Testing Needs | Amplicon | Hybrid Capture | Shotgun Metagenomics |
---|---|---|---|
Speed & Turnaround Time | |||
Scalable & Cost-Effective | |||
Identify Novel Pathogens | |||
Track Transmission | |||
Detect Mutations | |||
Identify Co-Infections & Complex Disease | |||
Detect Antimicrobial Resistance |
Adequately meets laboratory testing needs
Partially meets laboratory testing needs
Detect and fully characterize a known virus. Whole genome sequencing via an amplicon approach is ideal for known viruses with small genomes. This method involves analyzing genomic regions of interest with ultra-deep sequencing of PCR amplicons.
Detect and characterize coronaviruses, flu viruses, and other pathogenic organisms, as well as associated antimicrobial resistance alleles. These insights can help public health officials monitor outbreaks and optimize infection control strategies. This method captures genomic regions of interest via hybridization to target-specific probes.
Comprehensively sequence all organisms in a given sample and identify novel, or emerging pathogens such as mokeypox virus. This NGS method can help accelerate outbreak investigations and support development of new laboratory tests.
Learn how to use wastewater sequencing to monitor SARS-CoV-2 variants and other respiratory viruses in the community.
Read Application NoteNGS has broad applicability for responding to the SARS-CoV-2 pandemic, from initial detection and characterization to monitoring, surveillance, and diagnostic detection.
View WebinarJoin change-makers, thought leaders, and industry shapers for a discussion about the role of genomics in infectious disease surveillance.
View WebinarEarlier and more comprehensive detection of infectious pathogens and antimicrobial resistance (AMR) markers can help optimize patient management and treatment.
View WebinarCOVIDSeq Assay and COVIDSeq Test are amplicon-based next-generation sequencing (NGS) assays designed to help public health labs identify novel strains of SARS-CoV-2.
The iSeq 100 system leverages the speed and affordability of complementary metal-oxide-semiconductor (CMOS) technology and the accuracy of sequencing by synthesis (SBS) chemistry.
The Illumina Respiratory Virus Enrichment Kit allows researchers to obtain whole-genome next-generation sequencing (NGS) data for over 40 important respiratory viruses including SARS-CoV-2 and influenza A/B viruses.
Up to 75% of new or emerging infectious diseases are estimated to have zoonotic origins.1,2 We now know that zoonotic reservoirs are significant in the spread of pathogens. With NGS, it is possible to screen reservoir animals such as bats to predict and prevent viral pathogen outbreaks.
Infectious disease surveillance with NGS-based hybrid capture or metagenomics can help us understand interspecies transmission, how zoonotic diseases emerge, spread and become resistant to common therapies, and enable us to better contain, treat and prevent disease outbreaks.
Hybrid capture sequencing can be scaled up to monitor zoonotic pathogens, while genomic surveillance with metagenomics allows for unbiased, culture-free detection and identification of a broad number of pathogens. Metagenomics also helps us understand the relationship between our microbiome and pathogen interactions, which is important when designing measures to control infectious diseases.
Learn more about:
Target EnrichmentNGS provides unbiased identification of new coronavirus strains. Illumina offers rapid detection of SARS-CoV-2 coronavirus mutations to meet the demands for efficient sequencing needs.
Learn about Integrative NGS-based solutions for tuberculosis detection, characterization, and analysis.
Wastewater surveillance is a method to detect, identify and characterize pathogens found in wastewater. This method provides data to help monitor outbreaks and other threats at the community level.
NGS-based bacterial genome sequencing paired with user-friendly bioMérieux software allows comprehensive isolate discrimination and characterization.
Download the application note to see how to get comprehensive coverage across diverse viral genomes for effective surveillance.