Patterns of genomic interrelatedness of publicly available samples in the TB portals database.

Autor: Wollenberg KR; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: kurt.wollenberg@nih.gov., Jeffrey BM; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: brendan.jeffrey@nih.gov., Harris MA; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: michael.harris2@nih.gov., Gabrielian A; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: gabr@niaid.nih.gov., Hurt DE; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: darrellh@niaid.nih.gov., Rosenthal A; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, USA. Electronic address: alexr@niaid.nih.gov.
Jazyk: angličtina
Zdroj: Tuberculosis (Edinburgh, Scotland) [Tuberculosis (Edinb)] 2022 Mar; Vol. 133, pp. 102171. Date of Electronic Publication: 2022 Jan 24.
DOI: 10.1016/j.tube.2022.102171
Abstrakt: The TB Portals program is an international collaboration for the collection and dissemination of tuberculosis data from patient cases focused on drug resistance. The central database is a patient-oriented resource containing both patient and pathogen clinical and genomic information. Herein we provide a summary of the pathogen genomic data available through the TB Portals and show one potential application by examining patterns of genomic pairwise distances. Distributions of pairwise distances highlight overall patterns of genome variability within and between Mycobacterium tuberculosis phylogenomic lineages. Closely related isolates (based on whole-genome pairwise distances and time between sample collection dates) from different countries were identified as potential evidence of international transmission of drug-resistant tuberculosis. These high-level views of genomic relatedness provide information that can stimulate hypotheses for further and more detailed research.
(Copyright © 2022. Published by Elsevier Ltd.)
Databáze: MEDLINE
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