PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL

Page created by Sylvia Ingram
 
CONTINUE READING
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
National Center for Emerging and Zoonotic Infectious Diseases

PulseNet Updates: Transitioning to WGS for Reference
Testing and Surveillance

Heather Carleton, PhD, MPH; Steven Stroika; Kelley Hise, MPH

Enteric Diseases Laboratory Branch
Division of Foodborne, Waterborne and Environmental Diseases

50-State Call, Foodborne Epidemiologists

October 12, 2018
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
EDLB Vision
REPLACE all enteric workflows:            With ONE cost-efficient and
 • Identification                         precise method:
 • Serotyping                             • All of this information
 • Virulence profiling                       can be derived from the
 • Antimicrobial susceptibility              genome sequence
 • Subtyping for surveillance and
   outbreak investigations

                                    WGS
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
PulseNet Isolates by PFGE and WGS
                                                                      1996-2017

80000

70000

60000

50000

40000

30000

20000

10000

    0
        1996   1997   1998   1999   2000   2001   2002   2003   2004    2005    2006    2007     2008   2009   2010   2011   2012   2013   2014   2015   2016   2017

                                                                       PFGE Isolates minus WGS    WGS
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
PulseNet Transition Timeline to WGS Surveillance at
States
                           Nov 2nd, 2018                                                  January 15th, 2019
                                                          Transition period

 • Stopped PFGE for Listeria   • Update databases to BioNumerics • PulseNet state and local PHLs:
   and Campylobacter             7 and use for PFGE analysis         • Submit state sequence data through BN
                               • Receive analysis certification in     for analysis; upload analyzed sequence
                                 WGS from PulseNet                     data to PN national database; upload
                               • Develop and implement                 sequence reads to NCBI with limited
                                 validation plan for identification,   metadata
                                 serotyping, virulence and           • Perform local cluster detection using
                                 resistance gene detection if          cgMLST and allele codes; compare to
                                 necessary under CLIA or CAP           national database
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
Considerations for WGS Transition Timeline
 Time of double workloads for PHL microbiologists – performing both PFGE
  and WGS
 Funding concerns with double workload – cannot afford to fully implement
  WGS while still performing PFGE
 When BN7 analysis tools would be validated for sharing with states
 Time needed for fully transitioning to BN7 and new WGS analysis tools
 Feedback from state partners about feasibility of timelines
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
PulseNet Prioritization for WGS
   Conduct WGS on as many isolates using the following priority schedule: (1)
    Listeria monocytogenes, (2) STEC, (3) Salmonella, (4) Other species
     – If 100% of Salmonella cannot be sequenced, utilize a random sequencing
         approach (i.e. 1 of every 3 Salmonella received in laboratory) or as agreed to
         by lab and epi
     – Other organisms may be further prioritized if funded to do so (i.e.
         Campylobacter in FoodNet sites)
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
WGS Genotyping Tools Available in BioNumerics
  Listeria      Salmonella           Escherichia            Campylobacter
                                 (O157/Non-O157/Shigella)
Resistance      Resistance          Resistance                Resistance
 Plasmid          Plasmid            Plasmid                   Plasmid
             Virulence (genes Virulence (stx/eae/etc.
              for pathovars)    used to determine
                                    Pathotype)
  Lineage    Antigenic formula       Serotype
               and serotype                  Serotype         Serotype_wgs   Pathotype

Example of output from BioNumerics
PulseNet Updates: Transitioning to WGS for Reference Testing and Surveillance - APHL
WGS Analysis for Surveillance and Outbreak Detection
 in BioNumerics at States
Tool                        Listeria   Salmonella      Escherichia      Campy
Core genome MLST              Yes         Yes            Yes           Yes
(cgMLST) – primary
cluster detection method
Allele code                   Yes     Available Jan   Available Jan    Available
nomenclature- primary                      2019            2019        March 2019
cluster detection method
Whole genome MLST             Yes         Yes            Yes           Yes
(wgMLST) – as further
analysis needed
SNP analysis – as further     Yes         Yes            Yes           Yes
analysis needed
Cluster detection with cgMLST: comparing to entire
    database

•   Select 1 or more entries and
    find matches in local (or
    national) database based on
    allele differences
•   Generate a line list of isolates
    within 20 allele differences
•   Can export line list and further
    analyze potential cluster by
    generating a tree
51 Alleles           19 Alleles               0 Alleles
                                                                     71 Alleles           36 Alleles                7 Alleles

Cluster detection: Allele Codes
                                                       LMO1.0 - 5 . 1 . 1 . 2 . 5 . 1
                                                       Organism version                        Allele Code

    Nomenclature is organism specific with different thresholds for the digits

    When sequences have partial names, it means they are singletons in clusters below their
     last digit.

    The sequences below are approximately within 36 and 19 alleles of each other.

     Sequence A LMO1.0 - 5 . 1 . 2
     Sequence B                     LMO1.0 - 5 . 1 . 2 . 2 . 5 . 1
Database Cluster Detection
   Default settings include allele code matches up to the
    5th digit (~7 allele difference) and all human entries in
    the last 120 days
   Found clusters are displayed below with Allele code
    and number of cases
   Defaults can be changed to match on any digit in the
    allele code (1st, 2nd, 3rd, 4th, 5th, or 6th), historical
    cases, non-human, cluster size, and/or number of
    days to check
   Selecting clusters and choosing OK opens a
    comparison of those entries in BioNumerics
   Further refine clusters in a dendrogram by cgMLST or
    wgMLST allele differences
Database Cluster Detection

                                Your PHL can view
                                 dendrograms by different
                                 allele schemes (cgMLST,
                                 wgMLST, MLST)
                                Your PHL can label nodes by
                                 right-clicking node on tree
                                 and adding tree labels
                                 denoting allele differences
                                 at that node by scheme
                                 chosen
Workflows and Turn-Around-Times
     Day 0                Day 1-2          Day 3-4                            Day 5-6

                                        DNA extraction and                 DNA sequencing
Isolate received or      Pure culture
                           growth       Library preparation
recovered at PHL
                                                                 Day 6-7

   *TAT is measured at
   time of upload to
   National Database      PulseNet
                           National
                          Databases          Organism-specific                Reference ID
                                                 Database                      Database

                                              Genotyping and               Sequence data QC
                                            surveillance analysis           and identification
Turn-Around-Times
   Starting January TAT will be calculated from the date the isolate was received (or
    recovered) in the PHL to the date of upload to the national database
     – Should be 7 working days or less
 Tentative Transition to use of wg/cgMLST by January 15, 2019
     – All PHL’s migrated to BioNumerics v7.6
     – Laboratorians certified for WGS analysis
     – Testing and validating WGS nomenclature (Allele Codes)
Upcoming trainings
 PulseNet Webinars (coming early December)
 Food Safety COE WGS training (BioNumerics and WGS interpretation)
  webinars
 PulseNet/OutbreakNet Regional meetings
 CSTE/AMD Molecular Epi training – includes more than foodborne
 MiSeq/BioNumerics training in February
Questions?

 For more information, contact CDC
 1-800-CDC-INFO (232-4636)
 TTY: 1-888-232-6348 www.cdc.gov
     #PulseNet

 The findings and conclusions in this report are those of the authors and do not necessarily represent the
 official position of the Centers for Disease Control and Prevention.

Telephone: 404-639-4558
E-mail: PulseNet@cdc.gov        Web: www.cdc.gov/pulsenet
    #PulseNet
National Center for Emerging and Zoonotic Infectious Diseases

WGS Allele Codes in SEDRIC
WGS Allele Codes are Already in SEDRIC!
 They were incorporated for Listeria a few months ago and can be found in:
   – PulseNet Outbreak Line List Editor
   – Object Explorer
   – Browser
   – Search Bar
Line List Editor
Object Explorer
Browser
Search Bar
For more information, contact:
Lyndsay
For moreBottichio  (xmm8@cdc.gov)
          information, contact CDC
404-639-0570 (232-4636)
1-800-CDC-INFO
https://sedric.cdc.gov
TTY: 1-888-232-6348 www.cdc.gov

The findings and conclusions in this report are those of the authors and do not necessarily represent the
official position of the Centers for Disease Control and Prevention.
You can also read