Platform for virtual prototyping of advanced distribution management systems using python and opendss

Taylor, Jason; Deaver, Brian

doi:10.1049/cp.2016.0716

Cited by 1 publication

(1 citation statement)

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“…The genomes of the isolates in this study were compared by whole-genome phylogenomic analysis as previously described [15]. The genomes were aligned using Mugsy [27] and homologous blocks were concatenated using the bx-python toolkit [28]. The columns that contained one or more gaps were removed using Mothur [29].…”

Section: Methodsmentioning

confidence: 99%

Genetic changes associated with the temporal shift in invasive non-typhoidal Salmonella serovars in Bamako Mali

et al. 2019

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Background Invasive non-typhoidal Salmonella (iNTS) serovars S . Typhimurium and S . Enteritidis are major etiologic agents of invasive bacterial disease among infants and young children in sub-Saharan Africa, including in Mali. Early studies of iNTS serovars in several countries indicated that S . Typhimurium was more prevalent than S . Enteritidis, including in Mali before 2008. We investigated genomic and associated phenotypic changes associated with an increase in the relative proportion of iNTS caused by S . Enteritidis versus S . Typhimurium in Bamako, Mali, during the period 2002–2012. Methodology/Principal findings Comparative genomics studies identified homologs of tetracycline resistance and arsenic utilization genes that were associated with the temporal shift of serovars causing iNTS shift, along with several hypothetical proteins. These findings, validated through PCR screening and phenotypic assays, provide initial steps towards characterizing the genomic changes consequent to unknown evolutionary pressures associated with the shift in serovar prevalence. Conclusions/Significance This work identified a shift to S . Enteritidis from the more classic S . Typhimurium, associated with iNTS in Bamako, Mali, during the period 2002–2012. This type of shift in underlying iNTS pathogens are of great importance to pediatric public health in endemic regions of sub-Saharan Africa. Additionally, this work demonstrates the utility of combining epidemiologic data, whole genome sequencing, and functional characterization in the laboratory to identify and characterize genomic changes in the isolates that may be involved with the observed shift in circulating iNTS agents.

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