scholarly journals Towards Translational Epidemiology: Next-Generation Sequencing and Phylogeography as Epidemiological Mainstays

mSystems ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Crystal M. Hepp

ABSTRACT Next-generation sequencing, coupled with the development of user-friendly software, has achieved a level of accessibility that is revolutionizing the way we approach epidemiological investigations. We can sequence pathogen genomes and conduct phylogenetic analyses to assess transmission, identify from which country or city a pathogen originated, or which contaminated potluck item resulted in widespread foodborne illness. However, until recently, these types of studies have been rarities, limited to specific investigations usually conducted over the short term. Given the feasibility and realized public health benefits of ascertaining pathogen relationships, federal, state, and county agencies are building their sequencing capacities, either through acquisition of equipment or collaborative activities. In this perspective, I detail research projects that our group collaborates on with county and state public health agencies, where the objective is to identify pathogen source locations with the longer-term goal of implementing proactive interventions.

2019 ◽  
Vol 57 (8) ◽  
Author(s):  
Rebecca J. Hutchins ◽  
Kristy L. Phan ◽  
Adeeba Saboor ◽  
Joseph D. Miller ◽  
Atis Muehlenbachs

ABSTRACT Quality standards as part of an effective quality management system (QMS) are the cornerstone for generating high-quality test results. Next-generation sequencing (NGS) has the potential to improve both clinical diagnostics and public health surveillance efforts in multiple areas, including infectious diseases. However, the laboratories adopting NGS methods face significant challenges due to the complex and modular process design. This document summarizes the first phase of quality system guidance developed by the Centers for Disease Control and Prevention (CDC) NGS Quality Workgroup. The quality system essentials of personnel, equipment, and process management (quality control and validation) were prioritized based on a risk assessment using information gathered from participating CDC laboratories. Here, we present a prioritized QMS framework, including procedures and documentation tools, to assist laboratory implementation and maintenance of quality practices for NGS workflows.


Author(s):  
Laura I Rusu ◽  
Kelly L Wyres ◽  
Matthias Reumann ◽  
Carlos Queiroz ◽  
Alexe Bojovschi ◽  
...  

2015 ◽  
Vol 7 ◽  
pp. 19-25 ◽  
Author(s):  
Sarra Dimassi ◽  
Thomas Simonet ◽  
Audrey Labalme ◽  
Nadia Boutry-Kryza ◽  
Amandine Campan-Fournier ◽  
...  

2018 ◽  
Author(s):  
Kristoffer E. Leon ◽  
Didac Casas-Alba ◽  
Akshaya Ramesh ◽  
Lillian M. Khan ◽  
Cristian Launes ◽  
...  

AbstractIn 2016, Catalonia experienced a pediatric brainstem encephalitis outbreak caused by enterovirus A71 (EV-A71). Conventional testing identified EV in peripheral body sites, but EV was rarely identified in cerebrospinal fluid (CSF). RNA was extracted from CSF (n=20), plasma (n=9), stool (n=15) and nasopharyngeal samples (n=16) from 10 children with brainstem encephalitis or encephalomyelitis and 10 contemporaneous pediatric controls with presumed viral meningitis or encephalitis. Unbiased complementary DNA libraries were sequenced, and microbial pathogens were identified using a custom bioinformatics pipeline. Full-length virus genomes were assembled for phylogenetic analyses. Metagenomic next-generation sequencing (mNGS) was concordant with qRT-PCR for all samples positive by PCR (n=25). In virus-negative samples (n=35), mNGS detected virus in 28.6% (n=10), including 5 CSF samples. mNGS co-detected EV-A71 and another EV in 5 patients. Overall, mNGS increased the proportion of EV-positive samples from 42% (25/60) to 57% (34/60) (McNemar’s test; p-value = 0.0077). For CSF, mNGS doubled the number of pathogen-positive samples (McNemar’s test; p-value = 0.074). Using phylogenetic analysis, the outbreak EV-A71 clustered with a neuroinvasive German EV-A71 isolate. Brainstem encephalitis specific, non-synonymous EV-A71 single nucleotide variants were not identified. mNGS demonstrated 100% concordance with clinical qRT-PCR of EV-related brainstem encephalitis and significantly increased the detection of enteroviruses. Our findings increase the probability that neurologic complications observed were virus-induced rather than para-infectious. A comprehensive genomic analysis confirmed that the EV-A71 outbreak strain was closely related to a neuroinvasive German EV-A71 isolate. There were no clear-cut viral genomic differences that discriminated between patients with differing neurologic phenotypes.


2021 ◽  
Author(s):  
Jason Blanton

This protocol details the Florida Department of Health's Bureau of Public Health Laboratories' (BPHL) wet lab portion of our SARS-CoV-2 next generation sequencing workflow. The method is a tiled amplicon approach using ARTIC V3 primers. The amplicon generation was adapted from the Matteson protocol1. The library preparation is Illumina NexteraXT. Library pooling and normalization were adapted from the Gohl protocol3. This protocol is for loading a MiSeq, but we have had equal success running on iSeqs and NextSeqs as well. Up to 96 libraries can be run on a MiSeq and up to 384 on a NextSeq.


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