A Comprehensive Map of Mycobacterium tuberculosis Complex Regions of Difference.
MTBC
Mycobacterium tuberculosis complex
RD
comparative genomics
deletions
large sequence polymorphisms
regions of difference
structural variants
Journal
mSphere
ISSN: 2379-5042
Titre abrégé: mSphere
Pays: United States
ID NLM: 101674533
Informations de publication
Date de publication:
25 08 2021
25 08 2021
Historique:
pubmed:
22
7
2021
medline:
13
1
2022
entrez:
21
7
2021
Statut:
ppublish
Résumé
Mycobacterium tuberculosis complex (MTBC) species are classic examples of genetically monomorphic microorganisms due to their low genetic variability. Whole-genome sequencing made it possible to describe both the main species within the complex and M. tuberculosis lineages and sublineages. This differentiation is based on single nucleotide polymorphisms (SNPs) and large sequence polymorphisms in the so-called regions of difference (RDs). Although a number of studies have been performed to elucidate RD localizations, their distribution among MTBC species, and their role in the bacterial life cycle, there are some inconsistencies and ambiguities in the localization of RDs in different members of the complex. To address this issue, we conducted a thorough search for all possible deletions in the WGS data collection comprising 721 samples representing the full MTBC diversity. Discovered deletions were compared with a list of all previously described RDs. As with the SNP-based analysis, we confirmed the specificities of 79 regions at the species, lineage, or sublineage level, 17 of which are described for the first time. We also present RDscan (https://github.com/dbespiatykh/RDscan), an open-source workflow, which detects deletions from short-read sequencing data and correlates the results with high-specificity RDs, curated in this study. Testing of the workflow on a collection comprising ∼7,000 samples showed a high specificity of the found RDs. This study provides novel details that can contribute to a better understanding of the species differentiation within the MTBC and can help to determine how individual clusters evolve within various MTBC species.
Identifiants
pubmed: 34287002
doi: 10.1128/mSphere.00535-21
pmc: PMC8386458
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0053521Références
Int J Syst Evol Microbiol. 2003 Sep;53(Pt 5):1305-1314
pubmed: 13130011
Bioinformatics. 2012 Oct 1;28(19):2520-2
pubmed: 22908215
PLoS Comput Biol. 2017 Jun 8;13(6):e1005595
pubmed: 28594827
Proc Natl Acad Sci U S A. 1997 Sep 2;94(18):9869-74
pubmed: 9275218
Nat Commun. 2017 Jan 24;8:14061
pubmed: 28117401
Genome Med. 2019 Jun 24;11(1):41
pubmed: 31234910
BMC Biol. 2019 Jan 25;17(1):7
pubmed: 30683096
Methods Mol Biol. 2016;1418:335-51
pubmed: 27008022
Emerg Infect Dis. 2019 Mar;25(3):482-488
pubmed: 30789126
Mol Microbiol. 1999 May;32(3):643-55
pubmed: 10320585
Sci Rep. 2015 Oct 21;5:15443
pubmed: 26487098
Bioinformatics. 2012 Sep 15;28(18):i333-i339
pubmed: 22962449
Sci Rep. 2018 Aug 2;8(1):11597
pubmed: 30072734
Front Genet. 2015 Jan 21;5:468
pubmed: 25653667
Emerg Infect Dis. 2010 Aug;16(8):1296-9
pubmed: 20678329
Sci Rep. 2017 Aug 23;7(1):9227
pubmed: 28835627
F1000Res. 2017 May 10;6:664
pubmed: 28781756
Infect Immun. 2002 Oct;70(10):5568-78
pubmed: 12228284
J Clin Microbiol. 2007 Dec;45(12):3891-902
pubmed: 17898156
Mol Microbiol. 2003 Jan;47(2):529-38
pubmed: 12519202
Proc Natl Acad Sci U S A. 2004 Apr 6;101(14):4871-6
pubmed: 15041743
Emerg Infect Dis. 2013 Dec;19(12):2004-7
pubmed: 24274183
Genome Biol. 2004;5(2):R12
pubmed: 14759262
Nat Commun. 2020 Jun 9;11(1):2917
pubmed: 32518235
J Bacteriol. 2005 Sep;187(18):6386-95
pubmed: 16159772
PLoS Pathog. 2018 Jun 18;14(6):e1007139
pubmed: 29912964
Nat Commun. 2014 Sep 01;5:4812
pubmed: 25176035
Bioinformatics. 2016 Jan 15;32(2):292-4
pubmed: 26428292
Microb Genom. 2016 Apr 29;2(4):e000056
pubmed: 28348851
PLoS Negl Trop Dis. 2012;6(2):e1552
pubmed: 22389744
Genome Res. 2001 Apr;11(4):547-54
pubmed: 11282970
Proc Natl Acad Sci U S A. 2003 Jun 24;100(13):7877-82
pubmed: 12788972
Bioinformatics. 2018 Sep 1;34(17):i884-i890
pubmed: 30423086
Curr Protoc Bioinformatics. 2020 Mar;69(1):e96
pubmed: 32162851
Bioinformatics. 2018 Mar 1;34(5):867-868
pubmed: 29096012
Int J Syst Bacteriol. 1997 Oct;47(4):1236-45
pubmed: 9336935
Front Microbiol. 2018 Nov 27;9:2820
pubmed: 30538680
Tuberculosis (Edinb). 2015 Dec;95(6):682-688
pubmed: 26542221
Bioinformatics. 2019 Nov 1;35(21):4453-4455
pubmed: 31070718
Nat Genet. 2011 May;43(5):491-8
pubmed: 21478889
Bioinformatics. 2016 Sep 15;32(18):2847-9
pubmed: 27207943
Bioinformatics. 2016 Oct 1;32(19):3047-8
pubmed: 27312411
Proc Natl Acad Sci U S A. 2002 Mar 19;99(6):3684-9
pubmed: 11891304
Bioinformatics. 2011 Nov 1;27(21):2987-93
pubmed: 21903627
Nature. 1998 Jun 11;393(6685):537-44
pubmed: 9634230
Front Cell Infect Microbiol. 2017 Jun 08;7:239
pubmed: 28642843
Fly (Austin). 2012 Apr-Jun;6(2):80-92
pubmed: 22728672
J Bacteriol. 2006 Jun;188(12):4271-87
pubmed: 16740934
J Clin Microbiol. 2004 Aug;42(8):3594-9
pubmed: 15297503
Gigascience. 2019 Apr 1;8(4):
pubmed: 31222198
BMC Genomics. 2014 Oct 09;15:881
pubmed: 25297886
Nat Rev Microbiol. 2019 Sep;17(9):533-545
pubmed: 31209399
mBio. 2017 Jan 17;8(1):
pubmed: 28096490
Nat Biotechnol. 2011 Jan;29(1):24-6
pubmed: 21221095
Int J Syst Evol Microbiol. 2002 Mar;52(Pt 2):433-436
pubmed: 11931153
Emerg Infect Dis. 2012 Apr;18(4):653-5
pubmed: 22469053
BMC Genomics. 2016 Nov 2;17(1):847
pubmed: 27806686
J Clin Microbiol. 2005 Jul;43(7):3185-91
pubmed: 16000433
BMC Infect Dis. 2010 Mar 29;10:80
pubmed: 20350321
Nat Rev Microbiol. 2009 Jul;7(7):537-44
pubmed: 19483712
Bioinformatics. 2010 Mar 15;26(6):841-2
pubmed: 20110278
J Bacteriol. 2004 Jan;186(1):104-9
pubmed: 14679230
Microb Genom. 2021 Feb;7(2):
pubmed: 33529148
Nucleic Acids Res. 2015 Feb 18;43(3):e15
pubmed: 25414349