Articles by Natalie A. Prystajecky in JoVE
Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples Miguel I. Uyaguari-Diaz1, Jared R. Slobodan2, Matthew J. Nesbitt2, Matthew A. Croxen3, Judith Isaac-Renton1,3, Natalie A. Prystajecky1,3, Patrick Tang1,3 1Department of Pathology and Laboratory Medicine, Faculty of Medicine, The University of British Columbia, 2Coastal Genomics, 3British Columbia Public Health Microbiology and Reference Laboratory This manuscript describes an automated gel size selection approach for purifying DNA fragments for next-generation sequencing. The Ranger Technology provides complete automation of the entire process of agarose gel loading, electrophoretic analysis, and recovery of targeted DNA fragments allowing for high-throughput and high quality next-generation sequencing libraries.
Other articles by Natalie A. Prystajecky on PubMed
Identifying Host Sources, Human Health Risk and Indicators of Cryptosporidium and Giardia in a Canadian Watershed Influenced by Urban and Rural Activities Journal of Water and Health. Jun, 2012 | Pubmed ID: 22717756 Cryptosporidium and Giardia were characterized in a watershed in southern Ontario, Canada, over a 2½ year period. River samples were collected every two weeks, primarily near a municipal drinking water treatment plant intake. Cryptosporidium and Giardia were frequently detected with an overall occurrence rate of 88 and 97%, respectively. Giardia concentrations were higher than Cryptosporidium, with median values of 80 cysts 100 L(-1) and 12 oocysts 100 L(-1), respectively. Although pathogens rarely show a significant relationship with fecal or water quality indicators, this study determined that Cryptosporidium, but not Giardia, was significantly correlated with Escherichia coli, turbidity and river flow. There was no correlation between the two types of protozoa, and only Giardia showed a seasonal trend with higher concentrations at cold water temperatures. Cryptosporidium genotyping of all samples found that farm animals and wildlife were an important contributor of oocysts in the watershed, and that Cryptosporidium strains/genotypes of medium to high risk for human infection (C. hominis, C. parvum and C. ubiquitum) were detected in 16% of samples. This study was able to identify Cryptosporidium host sources and human health risk, and to identify differences between Cryptosporidium and Giardia occurrence in the watershed.