2016
DOI: 10.1101/076729
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Genetic indicators of drug resistance in the highly repetitive genomes ofTrichomonas vaginalisand other trichomonads

Abstract: BackgroundTrichomonas vaginalis, the most common non-viral sexually transmitted parasite, causes ~283 million trichomoniasis infections annually and is associated with complications during pregnancy and increased risk of HIV-1 acquisition. The antimicrobial drug metronidazole is used for treatment, but has lead to widespread drug resistance. We undertook sequencing of multiple clinical isolates and lab derived lines to identify genetic markers and mechanisms of metronidazole resistance. ResultsReduced represen… Show more

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Cited by 1 publication
(3 citation statements)
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“…Of course it must be noted that predicted functions are just that, and that the true nature of the many hypothetical proteins in Giardia awaits experimental determination. Only two reports to date have investigated transcriptional correlates of Mtz resistance using genome-wide techniques (Müller et al, 2008 ; Bradic et al, 2016 ). In this study, in addition to sensitive genetically-controlled analyses of transcriptional changes between Mtz-resistant isotypes of G. duodenalis , we compared our results to these independently generated data sets to infer key transcriptional themes in Mtz resistant parasites more broadly.…”
Section: Discussionmentioning
confidence: 99%
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“…Of course it must be noted that predicted functions are just that, and that the true nature of the many hypothetical proteins in Giardia awaits experimental determination. Only two reports to date have investigated transcriptional correlates of Mtz resistance using genome-wide techniques (Müller et al, 2008 ; Bradic et al, 2016 ). In this study, in addition to sensitive genetically-controlled analyses of transcriptional changes between Mtz-resistant isotypes of G. duodenalis , we compared our results to these independently generated data sets to infer key transcriptional themes in Mtz resistant parasites more broadly.…”
Section: Discussionmentioning
confidence: 99%
“…Selected SNPs were visually confirmed using Integrative Genomics Viewer (Robinson et al, 2011 ), and amino acid substitutions (products of non-synonymous SNPs), were predicted using getORF (Rice et al, 2000 ) and custom scripts. For comparative transcriptomics between species, published RNA transcript count data for Mtz-susceptible and –resistant T. vaginalis (Bradic et al, 2016 ) were submitted to edgeR in a two-sample comparison of transcript abundance. Count data for resistant and susceptible G. duodenalis lines generated in this study were compared using the same design, and orthologous genes (defined in OrthoMCL-DB; Chen, 2006 ) that were differentially transcribed in the same direction in both species, were retained for further analysis.…”
Section: Methodsmentioning
confidence: 99%
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