Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan

Abstract Non-O157 STEC are increasingly linked to foodborne infections, yet little is known about the diversity and molecular epidemiology across locations. Herein, we used whole genome sequencing to examine genetic variation in 894 isolates collected from Michigan patients between 2001 and 2018. In...

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Autores principales: Heather M. Blankenship, Rebekah E. Mosci, Stephen Dietrich, Elizabeth Burgess, Jason Wholehan, Karen McWilliams, Karen Pietrzen, Scott Benko, Ted Gatesy, James. T. Rudrik, Marty Soehnlen, Shannon D. Manning
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:ec1bd50d931c4a2e861316dde5ad54a02021-12-02T13:33:51ZPopulation structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan10.1038/s41598-021-83775-z2045-2322https://doaj.org/article/ec1bd50d931c4a2e861316dde5ad54a02021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83775-zhttps://doaj.org/toc/2045-2322Abstract Non-O157 STEC are increasingly linked to foodborne infections, yet little is known about the diversity and molecular epidemiology across locations. Herein, we used whole genome sequencing to examine genetic variation in 894 isolates collected from Michigan patients between 2001 and 2018. In all, 67 serotypes representing 69 multilocus sequence types were identified. Serotype diversity increased from an average of four (2001–2006) to 17 (2008–2018) serotypes per year. The top six serogroups reported nationally caused > 60% of infections in 16 of the 18 years; serogroups O111 and O45 were associated with hospitalization as were age ≥ 65 years, diarrhea with blood and female sex. Phylogenetic analyses of seven multilocus sequence typing (MLST) loci identified three clades as well as evidence of parallel evolution and recombination. Most (95.5%) isolates belonged to one clade, which could be further differentiated into seven subclades comprising isolates with varying virulence gene profiles and serotypes. No association was observed between specific clades and the epidemiological data, suggesting that serogroup- and serotype-specific associations are more important predictors of disease outcomes than lineages defined by MLST. Molecular epidemiological studies of non-O157 STEC are important to enhance understanding of circulating strain distributions and traits, genetic variation, and factors that may impact disease risk and severity.Heather M. BlankenshipRebekah E. MosciStephen DietrichElizabeth BurgessJason WholehanKaren McWilliamsKaren PietrzenScott BenkoTed GatesyJames. T. RudrikMarty SoehnlenShannon D. ManningNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Heather M. Blankenship
Rebekah E. Mosci
Stephen Dietrich
Elizabeth Burgess
Jason Wholehan
Karen McWilliams
Karen Pietrzen
Scott Benko
Ted Gatesy
James. T. Rudrik
Marty Soehnlen
Shannon D. Manning
Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan
description Abstract Non-O157 STEC are increasingly linked to foodborne infections, yet little is known about the diversity and molecular epidemiology across locations. Herein, we used whole genome sequencing to examine genetic variation in 894 isolates collected from Michigan patients between 2001 and 2018. In all, 67 serotypes representing 69 multilocus sequence types were identified. Serotype diversity increased from an average of four (2001–2006) to 17 (2008–2018) serotypes per year. The top six serogroups reported nationally caused > 60% of infections in 16 of the 18 years; serogroups O111 and O45 were associated with hospitalization as were age ≥ 65 years, diarrhea with blood and female sex. Phylogenetic analyses of seven multilocus sequence typing (MLST) loci identified three clades as well as evidence of parallel evolution and recombination. Most (95.5%) isolates belonged to one clade, which could be further differentiated into seven subclades comprising isolates with varying virulence gene profiles and serotypes. No association was observed between specific clades and the epidemiological data, suggesting that serogroup- and serotype-specific associations are more important predictors of disease outcomes than lineages defined by MLST. Molecular epidemiological studies of non-O157 STEC are important to enhance understanding of circulating strain distributions and traits, genetic variation, and factors that may impact disease risk and severity.
format article
author Heather M. Blankenship
Rebekah E. Mosci
Stephen Dietrich
Elizabeth Burgess
Jason Wholehan
Karen McWilliams
Karen Pietrzen
Scott Benko
Ted Gatesy
James. T. Rudrik
Marty Soehnlen
Shannon D. Manning
author_facet Heather M. Blankenship
Rebekah E. Mosci
Stephen Dietrich
Elizabeth Burgess
Jason Wholehan
Karen McWilliams
Karen Pietrzen
Scott Benko
Ted Gatesy
James. T. Rudrik
Marty Soehnlen
Shannon D. Manning
author_sort Heather M. Blankenship
title Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan
title_short Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan
title_full Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan
title_fullStr Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan
title_full_unstemmed Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan
title_sort population structure and genetic diversity of non-o157 shiga toxin-producing escherichia coli (stec) clinical isolates from michigan
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/ec1bd50d931c4a2e861316dde5ad54a0
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