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The Effects of Signal Erosion and Core Genome Reduction on the Identification of Diagnostic Markers.
Sahl, Jason W; Vazquez, Adam J; Hall, Carina M; Busch, Joseph D; Tuanyok, Apichai; Mayo, Mark; Schupp, James M; Lummis, Madeline; Pearson, Talima; Shippy, Kenzie; Colman, Rebecca E; Allender, Christopher J; Theobald, Vanessa; Sarovich, Derek S; Price, Erin P; Hutcheson, Alex; Korlach, Jonas; LiPuma, John J; Ladner, Jason; Lovett, Sean; Koroleva, Galina; Palacios, Gustavo; Limmathurotsakul, Direk; Wuthiekanun, Vanaporn; Wongsuwan, Gumphol; Currie, Bart J; Keim, Paul; Wagner, David M.
Afiliação
  • Sahl JW; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA Translational Genomics Research Institute, Flagstaff, Arizona, USA.
  • Vazquez AJ; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
  • Hall CM; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
  • Busch JD; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
  • Tuanyok A; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
  • Mayo M; Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
  • Schupp JM; Translational Genomics Research Institute, Flagstaff, Arizona, USA.
  • Lummis M; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
  • Pearson T; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
  • Shippy K; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
  • Colman RE; Translational Genomics Research Institute, Flagstaff, Arizona, USA.
  • Allender CJ; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
  • Theobald V; Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
  • Sarovich DS; Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
  • Price EP; Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
  • Hutcheson A; Pacific Biosciences, University of Michigan, Ann Arbor, Michigan, USA.
  • Korlach J; Pacific Biosciences, University of Michigan, Ann Arbor, Michigan, USA.
  • LiPuma JJ; Division of Pediatric Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
  • Ladner J; Center for Genome Sciences, USAMRIID, Fort Detrick, Maryland, USA.
  • Lovett S; Center for Genome Sciences, USAMRIID, Fort Detrick, Maryland, USA.
  • Koroleva G; Center for Genome Sciences, USAMRIID, Fort Detrick, Maryland, USA.
  • Palacios G; Center for Genome Sciences, USAMRIID, Fort Detrick, Maryland, USA.
  • Limmathurotsakul D; Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
  • Wuthiekanun V; Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
  • Wongsuwan G; Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
  • Currie BJ; Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.
  • Keim P; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA Translational Genomics Research Institute, Flagstaff, Arizona, USA.
  • Wagner DM; Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA dave.wagner@nau.edu.
mBio ; 7(5)2016 09 20.
Article em En | MEDLINE | ID: mdl-27651357
ABSTRACT
UNLABELLED Whole-genome sequence (WGS) data are commonly used to design diagnostic targets for the identification of bacterial pathogens. To do this effectively, genomics databases must be comprehensive to identify the strict core genome that is specific to the target pathogen. As additional genomes are analyzed, the core genome size is reduced and there is erosion of the target-specific regions due to commonality with related species, potentially resulting in the identification of false positives and/or false negatives. IMPORTANCE A comparative analysis of 1,130 Burkholderia genomes identified unique markers for many named species, including the human pathogens B. pseudomallei and B. mallei Due to core genome reduction and signature erosion, only 38 targets specific to B. pseudomallei/mallei were identified. By using only public genomes, a larger number of markers were identified, due to undersampling, and this larger number represents the potential for false positives. This analysis has implications for the design of diagnostics for other species where the genomic space of the target and/or closely related species is not well defined.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Análise de Sequência de DNA / Burkholderia Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Análise de Sequência de DNA / Burkholderia Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article