Pan-Lineage Mycobacterium tuberculosis Reference Genome for Enhanced Molecular Diagnosis.

Mycobacterium tuberculosis bacterial lineage drug susceptibility testing novel CDSs pan-bacterial genome reference genome whole genome sequencing

Journal

DNA research : an international journal for rapid publication of reports on genes and genomes
ISSN: 1756-1663
Titre abrégé: DNA Res
Pays: England
ID NLM: 9423827

Informations de publication

Date de publication:
11 Aug 2024
Historique:
received: 15 03 2024
medline: 11 8 2024
pubmed: 11 8 2024
entrez: 10 8 2024
Statut: aheadofprint

Résumé

In Mycobacterium tuberculosis (MTB) control, whole genome sequencing-based molecular drug susceptibility testing (molDST-WGS) has emerged as a pivotal tool. However, the current reliance on a single-strain reference limits molDST-WGS's true potential. To address this, we introduce a new pan-lineage reference genome, "MtbRf". We assembled "unmapped" reads from 3,614 MTB genomes (751 L1; 881 L2; 1,700 L3; and 282 L4) into 35 shared, annotated contigs (54 CDSs). We constructed MtbRf through: 1) searching for contig homologs among genome database that precipitating results uniquely within Mycobacteria genus; 2) comparing genomes with H37Rv ("lift-over") to define 18 insertions; and 3) filling gaps in H37Rv with insertions. MtbRf adds 1.18% sequences to H37rv, salvaging >60% of previously unmapped reads. Transcriptomics confirmed gene-expression of new CDSs. The new variants provided a moderate DST predictive value (AUROC 0.60-0.75). MtbRf thus unveils previously hidden genomic information, and lays the foundation for lineage-specific molDST-WGS.

Identifiants

pubmed: 39127874
pii: 7731460
doi: 10.1093/dnares/dsae023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.

Auteurs

Kunhyung Bahk (K)

Interdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, Seoul,Korea.

Joohon Sung (J)

Interdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, Seoul,Korea.
Genome and Health Big Data Laboratory, Graduate School of Public Health, Seoul National University, Seoul,Korea.

Mitsuko Seki (M)

Division of Pediatric Dentistry, Department of Human Development and Fostering, Meikai University School of Dentistry, Saitama, Japan.
Division of Microbiology, Department of Pathology and Microbiology, Nihon University School of Medicine, Tokyo, Japan.

Kyungjong Kim (K)

Research Center, The Korean Institute of Tuberculosis, Osong,Korea.
DNA Analysis Division, National Forensic Service, Ministry of the Interior and Safety, Seoul,Korea.

Jina Kim (J)

Department of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Hongjo Choi (H)

Division of Health Policy and Management, Korea University, Seoul,Korea.

Jake Whang (J)

Research Center, The Korean Institute of Tuberculosis, Osong,Korea.

Satoshi Mitarai (S)

Department of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Department of Basic Mycobacteriology, Graduate School of Biomedical Science, Nagasaki University, Nagasaki, Japan.

Classifications MeSH