Birren, B. W. | Search bioRxiv

bioRxiv2017

ProphET, Prophage Estimation Tool: a standalone prophage sequence prediction tool with self-updating reference database

Prophages are a significant force in prokaryote evolution. The remaining sequences of a bacteriophage integration event are known for altering gene expression, enabling creative destruction of the bacterial genome and to induce pathogenicity by harboring and transposing virulence and antibiotic resistance factors. In the light of the dreadful expansion of antibiotic resistance bacteriophages have gathered renewed interest from the scientific community and public health decision makers as a promising long forgotten alternative to control bacterial infections. Cataloging the repertoire of prophages and their integration sites is an important initial step in the understanding of bacteriophages either as tool or as a threat. In this work, we present ProphET (Prophage Estimation Tool), a standalone application without the limitations of their web based counterparts and which identifies prophages in bacterial genomes with higher precision than similar applications.

bioinformatics↗

bioRxiv2016

Longitudinal genomic surveillance of Plasmodium falciparum malaria parasites reveals complex genomic architecture of emerging artemisinin resistance in western Thailand

BackgroundArtemisinin-based combination therapies are the first line of treatment for Plasmodium falciparum infections worldwide, but artemisinin resistance (ART-R) has risen rapidly in in Southeast Asia over the last decade. Mutations in kelch13 have been associated with artemisinin (ART) resistance in this region. To explore the power of longitudinal genomic surveillance to detect signals in kelch13 and other loci that contribute to ART or partner drug resistance, we retrospectively sequenced the genomes of 194 P. falciparum isolates from five sites in Northwest Thailand, bracketing the era in which there was a rapid increase in ART-R in this region (2001-2014).\n\nResultsWe evaluated statistical metrics for temporal change in the frequency of individual SNPs, assuming that SNPs associated with resistance should increase frequency over this period. After Kelch13-C580Y, the strongest temporal change was seen at a SNP in phosphatidylinositol 4-kinase (PI4K), situated in a pathway recently implicated in the ART-R mechanism. However, other loci exhibit temporal signatures nearly as strong, and warrant further investigation for involvement in ART-R evolution. Through genome-wide association analysis we also identified a variant in a kelch-domain-containing gene on chromosome 10 that may epistatically modulate ART-R.\n\nConclusionsThis analysis demonstrates the potential of a longitudinal genomic surveillance approach to detect resistance-associated loci and improve our mechanistic understanding of how resistance develops. Evidence for additional genomic regions outside of the kelch13 locus associated with ART-R parasites may yield new molecular markers for resistance surveillance and may retard the emergence or spread of ART-R in African parasite populations.

genomics↗