| Literature DB >> 31208450 |
Tetsuya Komatsu1, Kenji Ohya2,3,4,5, Kotaro Sawai2,6, Justice Opare Odoi3, Keiko Otsu7, Atsushi Ota8, Toshihiro Ito9,10, Mikihiko Kawai9, Fumito Maruyama11,12.
Abstract
OBJECTIVES: Mycolicibacterium peregrinum, a rapidly growing mycobacterial species, can opportunistically infect humans and other animals. Although M. peregrinum infections in animals have been reported, the infection sources are unknown, as is information on its virulence and drug resistant genes, which limits our current understanding of this bacterium. To address this knowledge gap, we obtained draft genome sequences for two M. peregrinum isolates; one from a case of pig lymphadenitis and one from the pig farm's soil. DATA DESCRIPTION: We report here the draft genome sequences of M. peregrinum isolates 131_1 and 138 (6,451,733-bp and 6,479,047-bp). They were isolated from a pig with mesenteric lymph node lymphadenitis and from soil on the Japanese farm where the pig was reared. A sequence alignment identity score of 100% was obtained by in silico DNA-DNA hybridization of the two isolates, while 98.28% (isolate 131_1) and 98.27% (isolate 138) scores were recorded for hybridization with a human isolate. Both isolates carry arr-1, AAC(2')-Ib, RbpA, mtrA and tap drug-resistance genes. Isolates 131_1 and 138 carry 234 and 236 putative virulence genes, respectively. Therefore, environment M. peregrinum is potentially drug resistant and can cause swine lymphadenitis. Our data provides valuable new information for future studies on nontuberculous mycobacteria.Entities:
Keywords: Draft genome sequence; Drug resistance; In silico DNA–DNA hybridization; Mycobacterium; Mycolicibacterium peregrinum; Pig; Pig farm; Virulence
Mesh:
Year: 2019 PMID: 31208450 PMCID: PMC6580614 DOI: 10.1186/s13104-019-4380-3
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Overview of data files
| Label | Name of data file/data set | File types (file extension) | Data repository and identifier (DOI or accession number) |
|---|---|---|---|
| Data file 1 | FASTA file (.fasta) | GenBank RWJZ00000000 ( | |
| Data file 2 | FASTA file (.fasta) | GenBank RWKA00000000 ( |