Host Resistance, Genomics and Population Dynamics in a Salmonella Enteritidis and Phage System

Viruses
Angela V HolguínMartha J Vives

Abstract

Bacteriophages represent an alternative solution to control bacterial infections. When interacting, bacteria and phage can evolve, and this relationship is described as antagonistic coevolution, a pattern that does not fit all models. In this work, the model consisted of a microcosm of Salmonella enterica serovar Enteritidis and φSan23 phage. Samples were taken for 12 days every 48 h. Bacteria and phage samples were collected; and isolated bacteria from each time point were challenged against phages from previous, contemporary, and subsequent time points. The phage plaque tests, with the genomics analyses, showed a mutational asymmetry dynamic in favor of the bacteria instead of antagonistic coevolution. This is important for future phage-therapy applications, so we decided to explore the population dynamics of Salmonella under different conditions: pressure of one phage, a combination of phages, and phages plus an antibiotic. The data from cultures with single and multiple phages, and antibiotics, were used to create a mathematical model exploring population and resistance dynamics of Salmonella under these treatments, suggesting a nonlethal, growth-inhibiting antibiotic may decrease resistance to phage-therapy cocktails. Thes...Continue Reading

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Citations

Nov 19, 2019·Expert Review of Anti-infective Therapy·Katherine M CaflischRobin Patel
Aug 23, 2020·Viruses·Alejandro Reyes, Martha J Vives
Aug 30, 2020·International Journal of Molecular Sciences·Katarzyna Kosznik-KwaśnickaAlicja Węgrzyn
Sep 6, 2020·Applied and Environmental Microbiology·Tracey Lee PetersThomas G Denes
Nov 26, 2020·International Journal of Molecular Sciences·Katarzyna Kosznik-KwaśnickaAlicja Węgrzyn

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Datasets Mentioned

BETA
MUNA00000000
AIE08100

Methods Mentioned

BETA
gene knockout

Software Mentioned

Glimmer
Blast2go
BRIG
Trimmomatic
PHACTS
DockingServer
Bowtie2
Prodigal
RAST
Livermore Solver for Ordinary Differential Equations ( LSODA )

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