Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks
In an effort to build a comprehensive genomic approach to food safety challenges, the FDA has implemented a whole genome sequencing effort, GenomeTrakr, which involves the sequencing and analysis of genomes of foodborne pathogens. As a part of this effort, we routinely sequence whole genomes of List...
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description | In an effort to build a comprehensive genomic approach to food safety challenges, the FDA has implemented a whole genome sequencing effort, GenomeTrakr, which involves the sequencing and analysis of genomes of foodborne pathogens. As a part of this effort, we routinely sequence whole genomes of Listeria monocytogenes (Lm) isolates associated with human listeriosis outbreaks, as well as those isolated through other sources. To rapidly establish genetic relatedness of these genomes, we evaluated tetranucleotide frequency analysis via the JSpecies program to provide a cursory analysis of strain relatedness. The JSpecies tetranucleotide (tetra) analysis plots standardized (z-score) tetramer word frequencies of two strains against each other and uses linear regression analysis to determine similarity (r2). This tool was able to validate the close relationships between outbreak related strains from four different outbreaks. Included in this study was the analysis of Lm strains isolated during the recent caramel apple outbreak and stone fruit incident in 2014. We identified that many of the isolates from these two outbreaks shared a common 4b variant (4bV) serotype, also designated as IVb-v1, using a qPCR protocol developed in our laboratory. The 4bV serotype is characterized by the presence of a 6.3 Kb DNA segment normally found in serotype 1/2a, 3a, 1/2c and 3c strains but not in serotype 4b or 1/2b strains. We decided to compare these strains at a genomic level using the JSpecies Tetra tool. Specifically, we compared several 4bV and 4b isolates and identified a high level of similarity between the stone fruit and apple 4bV strains, but not the 4b strains co-identified in the caramel apple outbreak or other 4b or 4bV strains in our collection. This finding was further substantiated by a SNP-based analysis. Additionally, we were able to identify close relatedness between isolates from clinical cases from 1993-1994 and a single case from 2011 as well as links between two isolates from over 30 years ago. The identification of these potential links shows that JSpecies Tetra analysis can be a useful tool in rapidly assessing genetic relatedness of Lm isolates during outbreak investigations and for comparing historical isolates. Our analyses led to the identification of a highly related clonal group involved in two separate outbreaks, stone fruit and caramel apple, and suggests the possibility of a new genotype that may be better adapted for certain foods and/or envi |
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Center for Food Safety and Applied Nutrition</creatorcontrib><description>In an effort to build a comprehensive genomic approach to food safety challenges, the FDA has implemented a whole genome sequencing effort, GenomeTrakr, which involves the sequencing and analysis of genomes of foodborne pathogens. As a part of this effort, we routinely sequence whole genomes of Listeria monocytogenes (Lm) isolates associated with human listeriosis outbreaks, as well as those isolated through other sources. To rapidly establish genetic relatedness of these genomes, we evaluated tetranucleotide frequency analysis via the JSpecies program to provide a cursory analysis of strain relatedness. The JSpecies tetranucleotide (tetra) analysis plots standardized (z-score) tetramer word frequencies of two strains against each other and uses linear regression analysis to determine similarity (r2). This tool was able to validate the close relationships between outbreak related strains from four different outbreaks. Included in this study was the analysis of Lm strains isolated during the recent caramel apple outbreak and stone fruit incident in 2014. We identified that many of the isolates from these two outbreaks shared a common 4b variant (4bV) serotype, also designated as IVb-v1, using a qPCR protocol developed in our laboratory. The 4bV serotype is characterized by the presence of a 6.3 Kb DNA segment normally found in serotype 1/2a, 3a, 1/2c and 3c strains but not in serotype 4b or 1/2b strains. We decided to compare these strains at a genomic level using the JSpecies Tetra tool. Specifically, we compared several 4bV and 4b isolates and identified a high level of similarity between the stone fruit and apple 4bV strains, but not the 4b strains co-identified in the caramel apple outbreak or other 4b or 4bV strains in our collection. This finding was further substantiated by a SNP-based analysis. Additionally, we were able to identify close relatedness between isolates from clinical cases from 1993-1994 and a single case from 2011 as well as links between two isolates from over 30 years ago. The identification of these potential links shows that JSpecies Tetra analysis can be a useful tool in rapidly assessing genetic relatedness of Lm isolates during outbreak investigations and for comparing historical isolates. Our analyses led to the identification of a highly related clonal group involved in two separate outbreaks, stone fruit and caramel apple, and suggests the possibility of a new genotype that may be better adapted for certain foods and/or environment.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0150797</identifier><identifier>PMID: 26950338</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>60 APPLIED LIFE SCIENCES ; Algorithms ; Analysis ; Apples ; BASIC BIOLOGICAL SCIENCES ; Biology and Life Sciences ; Caramel ; Comparative genomics ; Deoxyribonucleic acid ; Diagnosis ; Disease Outbreaks ; DNA ; DNA sequencing ; Epidemiology ; Food ; Food contamination & poisoning ; Food processing industry ; Food safety ; Foodborne pathogens ; Frequency analysis ; Fruits ; Gene sequencing ; Genome analysis ; Genomes ; Genomic databases ; Genomics ; Genomics - methods ; Genotypes ; Humans ; Listeria ; Listeria monocytogenes ; Listeria monocytogenes - genetics ; Listeria monocytogenes - isolation & purification ; Listeria monocytogenes - physiology ; Listeriosis ; Listeriosis - epidemiology ; Listeriosis - microbiology ; Medicine and Health Sciences ; Nucleotide sequence ; Nutrition ; Outbreaks ; Phylogenetic analysis ; Phylogenetics ; Regression analysis ; Research and Analysis Methods ; Risk factors ; Sequence analysis ; Sequence Analysis, DNA - methods ; Similarity ; Single-nucleotide polymorphism ; Stone ; Strains (organisms)</subject><ispartof>PloS one, 2016-03, Vol.11 (3), p.e0150797-e0150797</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). 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Center for Food Safety and Applied Nutrition</creatorcontrib><title>Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In an effort to build a comprehensive genomic approach to food safety challenges, the FDA has implemented a whole genome sequencing effort, GenomeTrakr, which involves the sequencing and analysis of genomes of foodborne pathogens. As a part of this effort, we routinely sequence whole genomes of Listeria monocytogenes (Lm) isolates associated with human listeriosis outbreaks, as well as those isolated through other sources. To rapidly establish genetic relatedness of these genomes, we evaluated tetranucleotide frequency analysis via the JSpecies program to provide a cursory analysis of strain relatedness. The JSpecies tetranucleotide (tetra) analysis plots standardized (z-score) tetramer word frequencies of two strains against each other and uses linear regression analysis to determine similarity (r2). This tool was able to validate the close relationships between outbreak related strains from four different outbreaks. Included in this study was the analysis of Lm strains isolated during the recent caramel apple outbreak and stone fruit incident in 2014. We identified that many of the isolates from these two outbreaks shared a common 4b variant (4bV) serotype, also designated as IVb-v1, using a qPCR protocol developed in our laboratory. The 4bV serotype is characterized by the presence of a 6.3 Kb DNA segment normally found in serotype 1/2a, 3a, 1/2c and 3c strains but not in serotype 4b or 1/2b strains. We decided to compare these strains at a genomic level using the JSpecies Tetra tool. Specifically, we compared several 4bV and 4b isolates and identified a high level of similarity between the stone fruit and apple 4bV strains, but not the 4b strains co-identified in the caramel apple outbreak or other 4b or 4bV strains in our collection. This finding was further substantiated by a SNP-based analysis. Additionally, we were able to identify close relatedness between isolates from clinical cases from 1993-1994 and a single case from 2011 as well as links between two isolates from over 30 years ago. The identification of these potential links shows that JSpecies Tetra analysis can be a useful tool in rapidly assessing genetic relatedness of Lm isolates during outbreak investigations and for comparing historical isolates. Our analyses led to the identification of a highly related clonal group involved in two separate outbreaks, stone fruit and caramel apple, and suggests the possibility of a new genotype that may be better adapted for certain foods and/or environment.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Apples</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Biology and Life Sciences</subject><subject>Caramel</subject><subject>Comparative genomics</subject><subject>Deoxyribonucleic acid</subject><subject>Diagnosis</subject><subject>Disease Outbreaks</subject><subject>DNA</subject><subject>DNA sequencing</subject><subject>Epidemiology</subject><subject>Food</subject><subject>Food contamination & poisoning</subject><subject>Food processing industry</subject><subject>Food safety</subject><subject>Foodborne pathogens</subject><subject>Frequency analysis</subject><subject>Fruits</subject><subject>Gene sequencing</subject><subject>Genome analysis</subject><subject>Genomes</subject><subject>Genomic databases</subject><subject>Genomics</subject><subject>Genomics - methods</subject><subject>Genotypes</subject><subject>Humans</subject><subject>Listeria</subject><subject>Listeria monocytogenes</subject><subject>Listeria monocytogenes - genetics</subject><subject>Listeria monocytogenes - isolation & purification</subject><subject>Listeria monocytogenes - physiology</subject><subject>Listeriosis</subject><subject>Listeriosis - epidemiology</subject><subject>Listeriosis - microbiology</subject><subject>Medicine and Health Sciences</subject><subject>Nucleotide sequence</subject><subject>Nutrition</subject><subject>Outbreaks</subject><subject>Phylogenetic analysis</subject><subject>Phylogenetics</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Sequence analysis</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Similarity</subject><subject>Single-nucleotide polymorphism</subject><subject>Stone</subject><subject>Strains 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Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks</title><author>Burall, Laurel S ; Grim, Christopher J ; Mammel, Mark K ; Datta, Atin R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c719t-5bb1be73dda1cc3f0b5ba3b6c77a9e93803171475b6d2c9cab8d856f8af672563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Apples</topic><topic>BASIC BIOLOGICAL SCIENCES</topic><topic>Biology and Life Sciences</topic><topic>Caramel</topic><topic>Comparative genomics</topic><topic>Deoxyribonucleic acid</topic><topic>Diagnosis</topic><topic>Disease Outbreaks</topic><topic>DNA</topic><topic>DNA sequencing</topic><topic>Epidemiology</topic><topic>Food</topic><topic>Food contamination & 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Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Burall, Laurel S</au><au>Grim, Christopher J</au><au>Mammel, Mark K</au><au>Datta, Atin R</au><aucorp>Food and Drug Administration, Laurel, MD (United States). Center for Food Safety and Applied Nutrition</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-03-07</date><risdate>2016</risdate><volume>11</volume><issue>3</issue><spage>e0150797</spage><epage>e0150797</epage><pages>e0150797-e0150797</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In an effort to build a comprehensive genomic approach to food safety challenges, the FDA has implemented a whole genome sequencing effort, GenomeTrakr, which involves the sequencing and analysis of genomes of foodborne pathogens. As a part of this effort, we routinely sequence whole genomes of Listeria monocytogenes (Lm) isolates associated with human listeriosis outbreaks, as well as those isolated through other sources. To rapidly establish genetic relatedness of these genomes, we evaluated tetranucleotide frequency analysis via the JSpecies program to provide a cursory analysis of strain relatedness. The JSpecies tetranucleotide (tetra) analysis plots standardized (z-score) tetramer word frequencies of two strains against each other and uses linear regression analysis to determine similarity (r2). This tool was able to validate the close relationships between outbreak related strains from four different outbreaks. Included in this study was the analysis of Lm strains isolated during the recent caramel apple outbreak and stone fruit incident in 2014. We identified that many of the isolates from these two outbreaks shared a common 4b variant (4bV) serotype, also designated as IVb-v1, using a qPCR protocol developed in our laboratory. The 4bV serotype is characterized by the presence of a 6.3 Kb DNA segment normally found in serotype 1/2a, 3a, 1/2c and 3c strains but not in serotype 4b or 1/2b strains. We decided to compare these strains at a genomic level using the JSpecies Tetra tool. Specifically, we compared several 4bV and 4b isolates and identified a high level of similarity between the stone fruit and apple 4bV strains, but not the 4b strains co-identified in the caramel apple outbreak or other 4b or 4bV strains in our collection. This finding was further substantiated by a SNP-based analysis. Additionally, we were able to identify close relatedness between isolates from clinical cases from 1993-1994 and a single case from 2011 as well as links between two isolates from over 30 years ago. The identification of these potential links shows that JSpecies Tetra analysis can be a useful tool in rapidly assessing genetic relatedness of Lm isolates during outbreak investigations and for comparing historical isolates. Our analyses led to the identification of a highly related clonal group involved in two separate outbreaks, stone fruit and caramel apple, and suggests the possibility of a new genotype that may be better adapted for certain foods and/or environment.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26950338</pmid><doi>10.1371/journal.pone.0150797</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2016-03, Vol.11 (3), p.e0150797-e0150797 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | 60 APPLIED LIFE SCIENCES Algorithms Analysis Apples BASIC BIOLOGICAL SCIENCES Biology and Life Sciences Caramel Comparative genomics Deoxyribonucleic acid Diagnosis Disease Outbreaks DNA DNA sequencing Epidemiology Food Food contamination & poisoning Food processing industry Food safety Foodborne pathogens Frequency analysis Fruits Gene sequencing Genome analysis Genomes Genomic databases Genomics Genomics - methods Genotypes Humans Listeria Listeria monocytogenes Listeria monocytogenes - genetics Listeria monocytogenes - isolation & purification Listeria monocytogenes - physiology Listeriosis Listeriosis - epidemiology Listeriosis - microbiology Medicine and Health Sciences Nucleotide sequence Nutrition Outbreaks Phylogenetic analysis Phylogenetics Regression analysis Research and Analysis Methods Risk factors Sequence analysis Sequence Analysis, DNA - methods Similarity Single-nucleotide polymorphism Stone Strains (organisms) |
title | Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks |
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