BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections

ABSTRACT We report a platform that increases the sensitivity of high-throughput sequencing for detection and characterization of bacteria, virulence determinants, and antimicrobial resistance (AMR) genes. The system uses a probe set comprised of 4.2 million oligonucleotides based on the Pathosystems...

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Autores principales: Orchid M. Allicock, Cheng Guo, Anne-Catrin Uhlemann, Susan Whittier, Lokendra V. Chauhan, Joel Garcia, Adam Price, Stephen S. Morse, Nischay Mishra, Thomas Briese, W. Ian Lipkin
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Publicado: American Society for Microbiology 2018
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Acceso en línea:https://doaj.org/article/46f99f6bb6794d3191a38b4ff5ddaf58
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spelling oai:doaj.org-article:46f99f6bb6794d3191a38b4ff5ddaf582021-11-15T15:58:20ZBacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections10.1128/mBio.02007-182150-7511https://doaj.org/article/46f99f6bb6794d3191a38b4ff5ddaf582018-11-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.02007-18https://doaj.org/toc/2150-7511ABSTRACT We report a platform that increases the sensitivity of high-throughput sequencing for detection and characterization of bacteria, virulence determinants, and antimicrobial resistance (AMR) genes. The system uses a probe set comprised of 4.2 million oligonucleotides based on the Pathosystems Resource Integration Center (PATRIC) database, the Comprehensive Antibiotic Resistance Database (CARD), and the Virulence Factor Database (VFDB), representing 307 bacterial species that include all known human-pathogenic species, known antimicrobial resistance genes, and known virulence factors, respectively. The use of bacterial capture sequencing (BacCapSeq) resulted in an up to 1,000-fold increase in bacterial reads from blood samples and lowered the limit of detection by 1 to 2 orders of magnitude compared to conventional unbiased high-throughput sequencing, down to a level comparable to that of agent-specific real-time PCR with as few as 5 million total reads generated per sample. It detected not only the presence of AMR genes but also biomarkers for AMR that included both constitutive and differentially expressed transcripts. IMPORTANCE BacCapSeq is a method for differential diagnosis of bacterial infections and defining antimicrobial sensitivity profiles that has the potential to reduce morbidity and mortality, health care costs, and the inappropriate use of antibiotics that contributes to the development of antimicrobial resistance.Orchid M. AllicockCheng GuoAnne-Catrin UhlemannSusan WhittierLokendra V. ChauhanJoel GarciaAdam PriceStephen S. MorseNischay MishraThomas BrieseW. Ian LipkinAmerican Society for Microbiologyarticleantibiotic resistancebacterial identificationdiagnosticssequencingMicrobiologyQR1-502ENmBio, Vol 9, Iss 5 (2018)
institution DOAJ
collection DOAJ
language EN
topic antibiotic resistance
bacterial identification
diagnostics
sequencing
Microbiology
QR1-502
spellingShingle antibiotic resistance
bacterial identification
diagnostics
sequencing
Microbiology
QR1-502
Orchid M. Allicock
Cheng Guo
Anne-Catrin Uhlemann
Susan Whittier
Lokendra V. Chauhan
Joel Garcia
Adam Price
Stephen S. Morse
Nischay Mishra
Thomas Briese
W. Ian Lipkin
BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections
description ABSTRACT We report a platform that increases the sensitivity of high-throughput sequencing for detection and characterization of bacteria, virulence determinants, and antimicrobial resistance (AMR) genes. The system uses a probe set comprised of 4.2 million oligonucleotides based on the Pathosystems Resource Integration Center (PATRIC) database, the Comprehensive Antibiotic Resistance Database (CARD), and the Virulence Factor Database (VFDB), representing 307 bacterial species that include all known human-pathogenic species, known antimicrobial resistance genes, and known virulence factors, respectively. The use of bacterial capture sequencing (BacCapSeq) resulted in an up to 1,000-fold increase in bacterial reads from blood samples and lowered the limit of detection by 1 to 2 orders of magnitude compared to conventional unbiased high-throughput sequencing, down to a level comparable to that of agent-specific real-time PCR with as few as 5 million total reads generated per sample. It detected not only the presence of AMR genes but also biomarkers for AMR that included both constitutive and differentially expressed transcripts. IMPORTANCE BacCapSeq is a method for differential diagnosis of bacterial infections and defining antimicrobial sensitivity profiles that has the potential to reduce morbidity and mortality, health care costs, and the inappropriate use of antibiotics that contributes to the development of antimicrobial resistance.
format article
author Orchid M. Allicock
Cheng Guo
Anne-Catrin Uhlemann
Susan Whittier
Lokendra V. Chauhan
Joel Garcia
Adam Price
Stephen S. Morse
Nischay Mishra
Thomas Briese
W. Ian Lipkin
author_facet Orchid M. Allicock
Cheng Guo
Anne-Catrin Uhlemann
Susan Whittier
Lokendra V. Chauhan
Joel Garcia
Adam Price
Stephen S. Morse
Nischay Mishra
Thomas Briese
W. Ian Lipkin
author_sort Orchid M. Allicock
title BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections
title_short BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections
title_full BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections
title_fullStr BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections
title_full_unstemmed BacCapSeq: a Platform for Diagnosis and Characterization of Bacterial Infections
title_sort baccapseq: a platform for diagnosis and characterization of bacterial infections
publisher American Society for Microbiology
publishDate 2018
url https://doaj.org/article/46f99f6bb6794d3191a38b4ff5ddaf58
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