Whole-genome sequencing-based epidemiological analysis of anti-tuberculosis drug resistance genes in Japan in 2007: Application of the Genome Research for Asian Tuberculosis (GReAT) database.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
06 09 2019
06 09 2019
Historique:
received:
23
01
2019
accepted:
21
08
2019
entrez:
8
9
2019
pubmed:
8
9
2019
medline:
23
10
2020
Statut:
epublish
Résumé
We investigated the lineages of Mycobacterium tuberculosis (Mtb) isolates from the RYOKEN study in Japan in 2007 and the usefulness of genotypic drug susceptibility testing (DST) using the Genome Research for Asian Tuberculosis (GReAT) database. In total, 667 isolates were classified into lineage 1 (4.6%), lineage 2 (0.8%), lineage 2/Beijing (72.1%), lineage 3 (0.5%), and lineage 4 (22.0%). The nationality, gender, and age groups associated with the isolates assigned to lineage 1 were significantly different from those associated with other lineages. In particular, isolates of lineage 1.2.1 (EAI2) formed sub-clusters and included a 2,316-bp deletion in the genome. The proportion of the isolates resistant to at least one anti-tuberculosis (TB) drug was 10.8%, as determined by either the genotypic or phenotypic method of DST. However, the sensitivities to isoniazid, streptomycin, and ethambutol determined by the genotypic method were low. Thus, unidentified mutations in the genome responsible for drug resistance were explored, revealing previously unreported mutations in the katG, gid, and embB genes. This is the first nationwide report of whole-genome analysis of TB in Japan.
Identifiants
pubmed: 31492902
doi: 10.1038/s41598-019-49219-5
pii: 10.1038/s41598-019-49219-5
pmc: PMC6731343
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
12823Références
Kekkaku. 2013 Jun;88(6):543-52
pubmed: 23898494
Clin Microbiol Infect. 2017 Mar;23(3):161-166
pubmed: 27789378
Tuberculosis (Edinb). 2015 Dec;95(6):843-844
pubmed: 26542225
Bioinformatics. 2010 Mar 1;26(5):589-95
pubmed: 20080505
Clin Microbiol Infect. 2015 Mar;21(3):248.e1-8
pubmed: 25595707
Clin Infect Dis. 2015 Oct 15;61Suppl 3:S141-6
pubmed: 26409275
PLoS One. 2014 Oct 21;9(10):e110461
pubmed: 25333696
J Infect Dis. 2011 Nov 15;204 Suppl 4:S1110-9
pubmed: 21996693
J Clin Microbiol. 2015 Jun;53(6):1908-14
pubmed: 25854485
Southeast Asian J Trop Med Public Health. 2011 Sep;42(5):1154-62
pubmed: 22299441
BMC Infect Dis. 2017 Aug 9;17(1):555
pubmed: 28793873
Lancet Public Health. 2017 Oct;2(10):e450-e457
pubmed: 29253429
BMC Genomics. 2014 Oct 09;15:881
pubmed: 25297886
MMWR Morb Mortal Wkly Rep. 2016 Mar 25;65(11):273-8
pubmed: 27010173
Genome Med. 2015 May 27;7(1):51
pubmed: 26019726
Nat Commun. 2015 Dec 21;6:10063
pubmed: 26686880
Int J Infect Dis. 2018 May;70:93-100
pubmed: 29476901
PLoS One. 2014 Apr 14;9(4):e94728
pubmed: 24733156
Int J Tuberc Lung Dis. 2015 Feb;19(2):157-62
pubmed: 25574913
PLoS One. 2015 Nov 13;10(11):e0142951
pubmed: 26565975
Mediterr J Hematol Infect Dis. 2014 Jun 01;6(1):e2014043
pubmed: 24959340
Bioinformatics. 2014 May 1;30(9):1312-3
pubmed: 24451623
BMC Bioinformatics. 2014 Jun 12;15:182
pubmed: 24925680
J Clin Microbiol. 1997 Apr;35(4):907-14
pubmed: 9157152
Nature. 1998 Jun 11;393(6685):537-44
pubmed: 9634230
J Clin Microbiol. 2004 Jul;42(7):2952-60
pubmed: 15243044
Clin Microbiol Infect. 2010 Jun;16(6):568-74
pubmed: 19681961
Tuberculosis (Edinb). 2016 May;98:77-85
pubmed: 27156621
Tuberculosis (Edinb). 2015 Mar;95(2):91-4
pubmed: 25586521
J Infect Dev Ctries. 2015 Oct 29;9(10):1076-85
pubmed: 26517482