Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat

Abstract WGS is used to define if isolates are “in” or “out” of an outbreak and/or microbial root cause investigation. No threshold of genetic differences is fixed and the conclusions on similarity between isolates are mainly based on the knowledge generated from previous outbreak investigations and...

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Main Authors: Leen Baert, Johan Gimonet, Caroline Barretto, Coralie Fournier, Balamurugan Jagadeesan
Format: Article
Language:English
Published: Nature Publishing Group 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-87330-8
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spelling doaj-6b7ed66fcd8040c98e656cddaeeadb342021-04-18T11:38:54ZengNature Publishing GroupScientific Reports2045-23222021-04-0111111110.1038/s41598-021-87330-8Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heatLeen Baert0Johan Gimonet1Caroline Barretto2Coralie Fournier3Balamurugan Jagadeesan4Nestlé ResearchNestlé ResearchNestlé ResearchNestlé ResearchNestlé ResearchAbstract WGS is used to define if isolates are “in” or “out” of an outbreak and/or microbial root cause investigation. No threshold of genetic differences is fixed and the conclusions on similarity between isolates are mainly based on the knowledge generated from previous outbreak investigations and reported mutation rates. Mutation rates in Salmonella when exposed to food processing conditions are lacking. Thus, in this study, the ability of heat and dry stress to cause genetic changes in two Salmonella serotypes frequently isolated from low moisture foods was investigated. S. enterica serovars S. Agona ATCC 51,957 and S. Mbandaka NCTC 7892 (ATCC 51,958) were repeatedly exposed to heat (90 °C for 5 min) in a low water activity and high fat matrix. No increased fitness of the strains was observed after 10 repeated heat treatments. However, genetic changes were introduced and the number of genetic differences increased with every heat treatment cycle. The genetic changes appeared randomly in the genome and were responsible for a population of diverse isolates with 0 to 28 allelic differences (0 to 38 SNPs) between them. This knowledge is key to interpret WGS results for source tracking investigations as part of a root cause analysis in a contamination event as isolates are exposed to stress conditions.https://doi.org/10.1038/s41598-021-87330-8
collection DOAJ
language English
format Article
sources DOAJ
author Leen Baert
Johan Gimonet
Caroline Barretto
Coralie Fournier
Balamurugan Jagadeesan
spellingShingle Leen Baert
Johan Gimonet
Caroline Barretto
Coralie Fournier
Balamurugan Jagadeesan
Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat
Scientific Reports
author_facet Leen Baert
Johan Gimonet
Caroline Barretto
Coralie Fournier
Balamurugan Jagadeesan
author_sort Leen Baert
title Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat
title_short Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat
title_full Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat
title_fullStr Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat
title_full_unstemmed Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat
title_sort genetic changes are introduced by repeated exposure of salmonella spiked in low water activity and high fat matrix to heat
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-04-01
description Abstract WGS is used to define if isolates are “in” or “out” of an outbreak and/or microbial root cause investigation. No threshold of genetic differences is fixed and the conclusions on similarity between isolates are mainly based on the knowledge generated from previous outbreak investigations and reported mutation rates. Mutation rates in Salmonella when exposed to food processing conditions are lacking. Thus, in this study, the ability of heat and dry stress to cause genetic changes in two Salmonella serotypes frequently isolated from low moisture foods was investigated. S. enterica serovars S. Agona ATCC 51,957 and S. Mbandaka NCTC 7892 (ATCC 51,958) were repeatedly exposed to heat (90 °C for 5 min) in a low water activity and high fat matrix. No increased fitness of the strains was observed after 10 repeated heat treatments. However, genetic changes were introduced and the number of genetic differences increased with every heat treatment cycle. The genetic changes appeared randomly in the genome and were responsible for a population of diverse isolates with 0 to 28 allelic differences (0 to 38 SNPs) between them. This knowledge is key to interpret WGS results for source tracking investigations as part of a root cause analysis in a contamination event as isolates are exposed to stress conditions.
url https://doi.org/10.1038/s41598-021-87330-8
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