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<h1 id="pathgen-about-main">About the NCBI Pathogen Detection system</h1>
<p><a href="/pathogens/">NCBI Pathogen Detection</a> project is a centralized system that
integrates sequence data for bacterial pathogens</p>
<p>NCBI Pathogen Detection integrates bacterial and fungal pathogen genomic
sequences from numerous ongoing surveillance and research efforts whose sources
include food, environmental sources such as water or production facilities, and
patient samples. Foodborne, hospital-acquired, and other clinically infectious
pathogens are included.</p>
<p>The system provides two major automated real-time analyses:</p>
<ol>
<li>It quickly clusters related pathogen genome sequences to identify potential
transmission chains, helping public health scientists investigate disease
outbreaks</li>
<li>As part of the National Database of Antibiotic Resistant Organisms (NDARO),
NCBI screens genomic sequences using AMRFinderPlus to identify the
antimicrobial resistance, stress response, and virulence genes found in
bacterial genomic sequences, which enables scientists to track the spread of
resistance genes and to understand the relationships among antimicrobial
resistance, stress response, and virulence. </li>
</ol>
<p>A number of public health agencies and researchers in the US and
internationally are collecting samples from clinical cases, from the
environment, from food products, and from industrial production facilities to
facilitate active, real-time surveillance of pathogens, including foodborne
disease. Public health agencies and researchers sequence the samples and submit
the data to NCBI, which analyzes the sequences and compares them to others in
its database, including all genomes in GenBank, to identify closely related
sequences. The aim is to identify closely or clonally related isolates to aid
in outbreak investigation. For example the FDA, CDC, and USDA use isolates
from food and the environment linked to isolates associated with human illness
to aid traceback investigations and outbreak response. </p>
<p>The <a href="https://www.ncbi.nlm.nih.gov/pathogens/isolates">NCBI Pathogen Detection Isolates Browser</a> is a web-based portal that integrates the genomic sequence, metadata, antibiotic susceptibility and resistance gene information, and the SNP cluster information.</p>
<p>The NCBI Pathogen Detection Project also analyzes the assemblies in its database in real-time for known anti-microbial resistance (AMR) genes and other genes of interest and maintains <a href="/pathogens/antimicrobial-resistance/">software and databases</a> to facilitate monitoring and research including the <a href="/pathogens/antimicrobial-resistance/">National Database of Antibiotic Resistant Organisms</a>.</p>
<h2 aria-expanded="false" id="list-of-pathogens"><strong>List of Pathogens</strong></h2>
<p>Our public health partners initially focused on sequencing and analyzing the
four bacterial groups that are the major causes of foodborne illness in the US
<em>Salmonella</em>, <em>Escherichia coli</em> and <em>Shigella</em>, and <em>Listeria</em>; but NCBI
Pathogen Detection has since expanded our analyses to over <a href="/pathogens/organisms/">50
taxa</a> such as <em>Klebsiella penumoniae</em>, <em>Staphyloccus
aureus</em>, and <em>Streptococcus pneumoniae</em>. </p>
<p>Additional pathogens are added as capacity permits. The <a href="/pathogens/organisms/">Organism
Groups</a> page lists the current set of organisms that are
being tracked.</p>
<h2 aria-expanded="false" id="analysis">Analysis</h2>
<p>NCBI has developed a pipeline that assembles short-read Illumina sequence data
and analyzes it in the context of all other sequences in the system for both
genetic relatedness and for AMR surveillance. The pipeline compares assemblies
to all other assemblies from the same taxonomic group to identify clusters of
closely related isolates using wgMLST or K-mer comparisons. Within each of
these clusters SNPs are called and phylogenetic trees inferred. Individual
phylogenetic trees for each SNP clusters are available on
<a href="http://ftp.ncbi.nlm.nih.gov/pathogen/Results/">FTP</a> as well as the <a href="/pathogens/isolates">NCBI
Pathogen Detection Isolates Browser</a>. Results of assembly
analysis for gene content are available in the <a href="/pathogens/isolates">NCBI Pathogen Detection
Isolates Browser</a> as well as the <a href="/pathogens/microbigge/">Microbial Browser for
the Identification of Genetic and Genomic Elements</a>.
Assemblies and annotations generated by our system are deposited in GenBank and
made publicly available. Details of the analysis system will be published at a
future date.</p>
<p>To facilitate public health monitoring and anti-microbial resistance research
NCBI also maintains databases and software to identify AMR and other genes
relevant to public health. Sequences associated with these databases are
available in the <a href="/pathogens/refgene">Pathogen Detection Reference Gene
Catalog</a>. HMMs, and the hierarchical relationships used for naming and identifying function are in the <a href="/pathogens/hmm">Reference HMM Catalog</a> and <a href="/pathogens/genehierarchy">Reference Gene Hierarchy</a> respectively. </p>
<p>NCBI has also taken over for the Lahey
Clinic as the allele assigning authority for many beta-lactamase genes as well
as some additional families. See our <a href="/pathogens/submit-beta-lactamase/">allele request submission
page</a> for more information on allele
submissions and the <a href="/pathogens/refgene">Reference Gene Catalog</a> for existing allele assignments. The <a href="/pathogens/antimicrobial-resistance/AMRFinder/">AMRFinderPlus
software</a> is open source and
<a href="https://github.com/ncbi/amr/wiki">publicly available</a>, see our <a href="/pathogens/antimicrobial-resistance/">National
Database of Antibiotic Resistant Organisms
(NDARO)</a> page for links to all of our
publicly available AMR resources.</p>
<p>Please see the Pathogens <a href="/pathogens/pathogens_help/">Help page</a> for more detailed information on how to use these resources.</p>
<h2 aria-expanded="false" id="contributing-agencies">Contributing Agencies</h2>
<p>Several U.S. health agencies and international partners are currently contributing pathogen sequence data for real-time analysis.</p>
<h3 id="centers-for-disease-control-and-">Centers for Disease Control and Prevention (CDC)</h3>
<ul>
<li><a href="https://www.cdc.gov/amd/">CDC Advanced Molecular Detection</a></li>
<li><a href="https://www.cdc.gov/foodsafety/outbreaks/index.html">CDC Foodborne Outbreaks</a></li>
</ul>
<h3 id="food-and-drug-administration-fda">Food and Drug Administration (FDA)</h3>
<ul>
<li><a href="https://www.fda.gov/Food/FoodScienceResearch/WholeGenomeSequencingProgramWGS/">FDA Whole Genome Sequencing Program</a></li>
<li><a href="https://www.fda.gov/Food/FoodScienceResearch/WholeGenomeSequencingProgramWGS/#Investigators">FDA GenomeTrakr</a></li>
<li><a href="http://www.fda.gov/AnimalVeterinary/SafetyHealth/AntimicrobialResistance/NationalAntimicrobialResistanceMonitoringSystem/default.htm">The National Antimicrobial Resistance Monitoring System</a></li>
</ul>
<h3 id="us-department-of-agriculture-usd">U.S. Department of Agriculture (USDA)</h3>
<ul>
<li><a href="https://www.fsis.usda.gov/wps/portal/fsis/home">Food Safety Inspection Service (FSIS)</a></li>
<li><a href="https://www.fsis.usda.gov/sites/default/files/media_file/2020-06/Molecular-Subtyping-White-Paper.pdf">FSIS Molecular Subtyping</a></li>
</ul>
<h3 id="public-health-england-phe">Public Health England (PHE)</h3>
<ul>
<li><a href="https://www.gov.uk/government/news/whole-genome-sequencing-to-revolutionise-investigation-of-outbreaks-of-infectious-disease">PHE Whole Genome Sequencing</a></li>
</ul>
<h3 id="other-associations">Other Associations</h3>
<p>Many state public health laboratories and others are contributing data. </p>
<p><a href="http://www.aphl.org/Pages/default.aspx">Association of Public Health Laboratories (APHL)</a></p>
<h2 aria-expanded="false" id="other-initiatives"><strong>Other initiatives</strong></h2>
<p><a href="http://www.globalmicrobialidentifier.org/">Global Microbial Identifier (GMI)</a> is a grassroots attempt to build a global system of DNA genome databases for microbial and infectious disease identification and diagnostics. Projects that are flagged with the 'GMI' keyword can be found via this search <a href="/bioproject/?term=GMI%5Bkeyword%5D">/bioproject/?term=GMI[keyword]</a></p>
<h2 aria-expanded="false" id="contact"><strong>Contact</strong></h2>
<p>If you have additional questions or wish to contact the NCBI Pathogen Detection team then please send an email to:</p>
<p><a href="mailto:pd-help@ncbi.nlm.nih.gov">pd-help@ncbi.nlm.nih.gov</a></p>
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