It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
H37Rv is the most widely used Mycobacterium tuberculosis strain, and its genome is globally used as the M. tuberculosis reference sequence. Here, we present Bact-Builder, a pipeline that uses consensus building to generate complete and accurate bacterial genome sequences and apply it to three independently cultured and sequenced H37Rv aliquots of a single laboratory stock. Two of the 4,417,942 base-pair long H37Rv assemblies are 100% identical, with the third differing by a single nucleotide. Compared to the existing H37Rv reference, the new sequence contains ~6.4 kb additional base pairs, encoding ten new regions that include insertions in PE/PPE genes and new paralogs of esxN and esxJ, which are differentially expressed compared to the reference genes. New sequencing and de novo assemblies with Bact-Builder confirm that all 10 regions, plus small additional polymorphisms, are also present in the commonly used H37Rv strains NR123, TMC102, and H37Rv1998. Thus, Bact-Builder shows promise as an improved method to perform accurate and reproducible de novo assemblies of bacterial genomes, and our work provides important updates to the primary M. tuberculosis reference genome.
H37Rv is the most widely used Mycobacterium tuberculosis strain, and its genome is the reference sequence for this pathogen. Here, Chitale et al. present a bioinformatic pipeline for accurate assembly of bacterial genome sequences, and use it to provide important updates to the M. tuberculosis reference genome.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details






1 Rutgers University – New Jersey Medical School, Ray V. Lourenco Center for the Study of Emerging and Re-emerging Pathogens, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796); Rutgers University – New Jersey Medical School, Public Health Research Institute, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796)
2 Rutgers—The State University of New Jersey, Department of Pathology, Immunology and Laboratory Medicine, New Jersey Medical School, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796)
3 University of Chicago, Department of Medicine, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822); University of Chicago, Committee on Microbiology, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822)
4 Rutgers University – New Jersey Medical School, Ray V. Lourenco Center for the Study of Emerging and Re-emerging Pathogens, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796); Rutgers University- New Jersey Medical School, Department of Microbiology, Biochemistry and Molecular Genetics, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796)
5 Boston University School of Medicine and Bioinformatics Program, Boston University, Division of Computational Biomedicine, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558); Boston University, Bioinformatics Program, Boston, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558)
6 Rutgers University – New Jersey Medical School, Ray V. Lourenco Center for the Study of Emerging and Re-emerging Pathogens, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796); Rutgers University – New Jersey Medical School, Public Health Research Institute, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796); Rutgers University – New Jersey Medical School, Center for Data Science, Newark, USA (GRID:grid.430387.b) (ISNI:0000 0004 1936 8796)
7 Helmholtz Institute for Functional Marine Biodiversity (HIFMB), Oldenburg, Germany (GRID:grid.511218.e); Bay Paul Center, Marine Biological Laboratory, Woods Hole, USA (GRID:grid.144532.5) (ISNI:000000012169920X)
8 Université Paris Cité, Unit for Integrated Mycobacterial Pathogenomics, Institut Pasteur, Paris, France (GRID:grid.508487.6) (ISNI:0000 0004 7885 7602)