Towards next-generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics.

Clicks: 219
ID: 60280
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Tuberculosis remains one of the main causes of death worldwide. The long and cumbersome process of culturing Mycobacterium tuberculosis complex (MTBC) bacteria has encouraged the development of specific molecular tools for detecting the pathogen. Most of these tools aim to become novel tuberculosis diagnostics, and big efforts and resources are invested in their development, looking for the endorsement of the main public health agencies. Surprisingly, no study had been conducted where the vast amount of genomic data available is used to identify the best MTBC diagnostic markers.In this work, we used large-scale comparative genomics to identify 40 MTBC-specific loci. We assessed their genetic diversity and physiological features to select 30 that are good targets for diagnostic purposes. Some of these markers could be used to assess the physiological status of the bacilli. Remarkably, none of the most used MTBC markers is in our catalog. Illustrating the translational potential of our work, we develop a specific qPCR assay for quantification and identification of MTBC DNA. Our rational design of targeted molecular assays for tuberculosis could be used in many other fields of clinical and basic research.Supplementary data are available at Bioinformatics online.
Reference Key
goig2019towardsbioinformatics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Goig, Galo A;Torres-Puente, Manuela;Mariner-Llicer, Carla;Villamayor, Luis M;Chiner-Oms, Álvaro;Gil-Brusola, Ana;Borrás, Rafael;Comas, Iñaki;
Journal Bioinformatics
Year 2019
DOI
btz729
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.