2015
DOI: 10.1016/j.ympev.2015.06.007
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Assessing host-specificity of Escherichia coli using a supervised learning logic-regression-based analysis of single nucleotide polymorphisms in intergenic regions

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Cited by 22 publications
(48 citation statements)
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“…coli isolates were sourced from three bacterial libraries originally established from the following geographically disparate areas of Canada: (i) the Hamilton/Toronto region of Ontario, as described by Edge and Hill (23); (ii) Ottawa (Ontario), Lennoxville (Quebec), and Brandon (Manitoba), as described by Lyautey et al (24); and (iii) Alberta, as described by White et al (25) (bovine isolates) and Zhi et al (20) (human isolates). For further details regarding bacterial libraries, please refer to the work of Zhi et al (20). …”
Section: Methodsmentioning
confidence: 99%
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“…coli isolates were sourced from three bacterial libraries originally established from the following geographically disparate areas of Canada: (i) the Hamilton/Toronto region of Ontario, as described by Edge and Hill (23); (ii) Ottawa (Ontario), Lennoxville (Quebec), and Brandon (Manitoba), as described by Lyautey et al (24); and (iii) Alberta, as described by White et al (25) (bovine isolates) and Zhi et al (20) (human isolates). For further details regarding bacterial libraries, please refer to the work of Zhi et al (20). …”
Section: Methodsmentioning
confidence: 99%
“…coli isolates, we used a maximum likelihood phylogenetic analysis of the following three intergenic regions: (i) uspC-flhDC , (ii) csgBAC-csgDEFG , and (iii) asnS-ompF . The selection of these regions was based on our previous publications, in which host-specific SNP biomarkers were identified in these three intergenic regions across 15 animal species (20) and these intergenic sequences correlated with adaptive phenotypes in E. coli (25).…”
Section: Methodsmentioning
confidence: 99%
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“…Previously, the authors characterised the occurrence of host-specific strains of E. coli in a variety of human and animal isolates by using logic regression analysis of intergenic deoxyribonucleic acid (DNA) sequences (Zhi et al, 2015(Zhi et al, , 2016a. The authors applied these novel bioinformatic tools to understand E. coli population genetics better in non-host environments, such as waste water, leading to the discovery of naturalised strains of E. coli in municipal waste water (Zhi et al, 2016b).…”
Section: Introductionmentioning
confidence: 99%