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Transcriptional Response of Salmonella enterica to Bacteriophage Treatments with Differential Multiplicities of Infection Wong, Catherine W. Y.; Wang, Siyun
Abstract
Salmonella enterica (S. enterica) is a causative agent of numerous foodborne outbreaks, as current industrial measures may be <90% effective. Therefore, bacteriophages have been suggested as an antimicrobial treatment against S. enterica, but it is currently unclear if there is an optimal bacteriophage multiplicity of infection (MOI) against S. enterica. Two bacteriophage cocktails at MOIs 1, 10, 100, 1000 and 10,000 were co-inoculated against four S. enterica strains (S. Enteritidis, S. Newport, S. Muenchen and S. Typhimurium), and populations were estimated on days 0–3. The transcriptional profiles of 20 genes previously indicated to be differentially expressed after bacteriophage treatment were studied by extracting RNA from all four S. enterica strains after bacteriophage SE14, SF5 and SF6 treatment on days 0, 1 and 3, and RT-qPCR was conducted to determine the expression of the 20 selected genes. The results showed that an MOI of 1000 was the most optimal in reducing S. Enteritidis populations to undetectable levels from day 0 to 3. The cas1 (SOS response) and mod (DNA modification and recombination) genes were highly upregulated between 2.5- and 5-fold on day 0 for S. Enteritidis S5-483 and S. Typhimurium S5-536 at MOIs of 1000 and 10,000. On day 3, hsdS (DNA modification and recombination) was upregulated by ~1-fold for S. enteritidis S5-483 after an MOI of 1000. Understanding an optimal bacteriophage MOI can be beneficial to implementing effective and optimal bacteriophage treatments in the industry. Knowledge of S. enterica’s transcriptional response after bacteriophage treatment provides further insight into how S. enterica can survive bacteriophage infection.
Item Metadata
Title |
Transcriptional Response of Salmonella enterica to Bacteriophage Treatments with Differential Multiplicities of Infection
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Creator | |
Contributor | |
Publisher |
Multidisciplinary Digital Publishing Institute
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Date Issued |
2024-02-16
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Description |
Salmonella enterica (S. enterica) is a causative agent of numerous foodborne outbreaks, as
current industrial measures may be <90% effective. Therefore, bacteriophages have been suggested
as an antimicrobial treatment against S. enterica, but it is currently unclear if there is an optimal
bacteriophage multiplicity of infection (MOI) against S. enterica. Two bacteriophage cocktails at MOIs
1, 10, 100, 1000 and 10,000 were co-inoculated against four S. enterica strains (S. Enteritidis, S. Newport,
S. Muenchen and S. Typhimurium), and populations were estimated on days 0–3. The transcriptional
profiles of 20 genes previously indicated to be differentially expressed after bacteriophage treatment
were studied by extracting RNA from all four S. enterica strains after bacteriophage SE14, SF5 and
SF6 treatment on days 0, 1 and 3, and RT-qPCR was conducted to determine the expression of the
20 selected genes. The results showed that an MOI of 1000 was the most optimal in reducing S.
Enteritidis populations to undetectable levels from day 0 to 3. The cas1 (SOS response) and mod (DNA
modification and recombination) genes were highly upregulated between 2.5- and 5-fold on day 0 for
S. Enteritidis S5-483 and S. Typhimurium S5-536 at MOIs of 1000 and 10,000. On day 3, hsdS (DNA
modification and recombination) was upregulated by ~1-fold for S. enteritidis S5-483 after an MOI
of 1000. Understanding an optimal bacteriophage MOI can be beneficial to implementing effective
and optimal bacteriophage treatments in the industry. Knowledge of S. enterica’s transcriptional
response after bacteriophage treatment provides further insight into how S. enterica can survive
bacteriophage infection.
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Subject | |
Genre | |
Type | |
Language |
eng
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Date Available |
2024-04-05
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Provider |
Vancouver : University of British Columbia Library
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Rights |
CC BY 4.0
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DOI |
10.14288/1.0440998
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URI | |
Affiliation | |
Citation |
Applied Microbiology 4 (1): 390-405 (2024)
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Publisher DOI |
10.3390/applmicrobiol4010027
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
CC BY 4.0