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Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology

Cronobacter (previously known as Enterobacter sakazakii) is a genus of Gram-negative, facultatively anaerobic, oxidase-negative, catalase-positive, rod-shaped bacteria of the family Enterobacteriaceae. These organisms cause a variety of illnesses such as meningitis, necrotizing enterocolitis, and se...

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Autores principales: Tall, Ben D., Gangiredla, Jayanthi, Grim, Christopher J., Patel, Isha R., Jackson, Scott A., Mammel, Mark K., Kothary, Mahendra H., Sathyamoorthy, Venugopal, Carter, Laurenda, Fanning, Séamus, Iversen, Carol, Pagotto, Franco, Stephan, Roger, Lehner, Angelika, Farber, Jeffery, Yan, Qiong Q., Gopinath, Gopal R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374366/
https://www.ncbi.nlm.nih.gov/pubmed/28273858
http://dx.doi.org/10.3390/microarrays6010006
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author Tall, Ben D.
Gangiredla, Jayanthi
Grim, Christopher J.
Patel, Isha R.
Jackson, Scott A.
Mammel, Mark K.
Kothary, Mahendra H.
Sathyamoorthy, Venugopal
Carter, Laurenda
Fanning, Séamus
Iversen, Carol
Pagotto, Franco
Stephan, Roger
Lehner, Angelika
Farber, Jeffery
Yan, Qiong Q.
Gopinath, Gopal R.
author_facet Tall, Ben D.
Gangiredla, Jayanthi
Grim, Christopher J.
Patel, Isha R.
Jackson, Scott A.
Mammel, Mark K.
Kothary, Mahendra H.
Sathyamoorthy, Venugopal
Carter, Laurenda
Fanning, Séamus
Iversen, Carol
Pagotto, Franco
Stephan, Roger
Lehner, Angelika
Farber, Jeffery
Yan, Qiong Q.
Gopinath, Gopal R.
author_sort Tall, Ben D.
collection PubMed
description Cronobacter (previously known as Enterobacter sakazakii) is a genus of Gram-negative, facultatively anaerobic, oxidase-negative, catalase-positive, rod-shaped bacteria of the family Enterobacteriaceae. These organisms cause a variety of illnesses such as meningitis, necrotizing enterocolitis, and septicemia in neonates and infants, and urinary tract, wound, abscesses or surgical site infections, septicemia, and pneumonia in adults. The total gene content of 379 strains of Cronobacter spp. and taxonomically-related isolates was determined using a recently reported DNA microarray. The Cronobacter microarray as a genotyping tool gives the global food safety community a rapid method to identify and capture the total genomic content of outbreak isolates for food safety, environmental, and clinical surveillance purposes. It was able to differentiate the seven Cronobacter species from one another and from non-Cronobacter species. The microarray was also able to cluster strains within each species into well-defined subgroups. These results also support previous studies on the phylogenic separation of species members of the genus and clearly highlight the evolutionary sequence divergence among each species of the genus compared to phylogenetically-related species. This review extends these studies and illustrates how the microarray can also be used as an investigational tool to mine genomic data sets from strains. Three case studies describing the use of the microarray are shown and include: (1) the determination of allelic differences among Cronobacter sakazakii strains possessing the virulence plasmid pESA3; (2) mining of malonate and myo-inositol alleles among subspecies of Cronobacter dublinensis strains to determine subspecies identity; and (3) lastly using the microarray to demonstrate sequence divergence and phylogenetic relatedness trends for 13 outer-membrane protein alleles among 240 Cronobacter and phylogenetically-related strains. The goal of this review is to describe microarrays as a robust tool for genomics research of this assorted and important genus, a criterion toward the development of future preventative measures to eliminate this foodborne pathogen from the global food supply.
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spelling pubmed-53743662017-04-10 Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology Tall, Ben D. Gangiredla, Jayanthi Grim, Christopher J. Patel, Isha R. Jackson, Scott A. Mammel, Mark K. Kothary, Mahendra H. Sathyamoorthy, Venugopal Carter, Laurenda Fanning, Séamus Iversen, Carol Pagotto, Franco Stephan, Roger Lehner, Angelika Farber, Jeffery Yan, Qiong Q. Gopinath, Gopal R. Microarrays (Basel) Review Cronobacter (previously known as Enterobacter sakazakii) is a genus of Gram-negative, facultatively anaerobic, oxidase-negative, catalase-positive, rod-shaped bacteria of the family Enterobacteriaceae. These organisms cause a variety of illnesses such as meningitis, necrotizing enterocolitis, and septicemia in neonates and infants, and urinary tract, wound, abscesses or surgical site infections, septicemia, and pneumonia in adults. The total gene content of 379 strains of Cronobacter spp. and taxonomically-related isolates was determined using a recently reported DNA microarray. The Cronobacter microarray as a genotyping tool gives the global food safety community a rapid method to identify and capture the total genomic content of outbreak isolates for food safety, environmental, and clinical surveillance purposes. It was able to differentiate the seven Cronobacter species from one another and from non-Cronobacter species. The microarray was also able to cluster strains within each species into well-defined subgroups. These results also support previous studies on the phylogenic separation of species members of the genus and clearly highlight the evolutionary sequence divergence among each species of the genus compared to phylogenetically-related species. This review extends these studies and illustrates how the microarray can also be used as an investigational tool to mine genomic data sets from strains. Three case studies describing the use of the microarray are shown and include: (1) the determination of allelic differences among Cronobacter sakazakii strains possessing the virulence plasmid pESA3; (2) mining of malonate and myo-inositol alleles among subspecies of Cronobacter dublinensis strains to determine subspecies identity; and (3) lastly using the microarray to demonstrate sequence divergence and phylogenetic relatedness trends for 13 outer-membrane protein alleles among 240 Cronobacter and phylogenetically-related strains. The goal of this review is to describe microarrays as a robust tool for genomics research of this assorted and important genus, a criterion toward the development of future preventative measures to eliminate this foodborne pathogen from the global food supply. MDPI 2017-03-04 /pmc/articles/PMC5374366/ /pubmed/28273858 http://dx.doi.org/10.3390/microarrays6010006 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Tall, Ben D.
Gangiredla, Jayanthi
Grim, Christopher J.
Patel, Isha R.
Jackson, Scott A.
Mammel, Mark K.
Kothary, Mahendra H.
Sathyamoorthy, Venugopal
Carter, Laurenda
Fanning, Séamus
Iversen, Carol
Pagotto, Franco
Stephan, Roger
Lehner, Angelika
Farber, Jeffery
Yan, Qiong Q.
Gopinath, Gopal R.
Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology
title Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology
title_full Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology
title_fullStr Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology
title_full_unstemmed Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology
title_short Use of a Pan–Genomic DNA Microarray in Determination of the Phylogenetic Relatedness among Cronobacter spp. and Its Use as a Data Mining Tool to Understand Cronobacter Biology
title_sort use of a pan–genomic dna microarray in determination of the phylogenetic relatedness among cronobacter spp. and its use as a data mining tool to understand cronobacter biology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374366/
https://www.ncbi.nlm.nih.gov/pubmed/28273858
http://dx.doi.org/10.3390/microarrays6010006
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