Literature DB >> 26067970

Draft Genome Sequence of Mycobacterium arupense Strain GUC1.

Alexander L Greninger1, Gail Cunningham1, Joanna M Yu1, Elaine D Hsu1, Charles Y Chiu1, Steve Miller2.   

Abstract

We report the draft genome sequence of Mycobacterium arupense strain GUC1 from a sputum sample of a patient with bronchiectasis. This is the first draft genome sequence of Mycobacterium arupense, a rapidly growing nonchromogenic mycobacteria.
Copyright © 2015 Greninger et al.

Entities:  

Year:  2015        PMID: 26067970      PMCID: PMC4463534          DOI: 10.1128/genomeA.00630-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Mycobacterium arupense is a rapidly growing nonchromogenic mycobacteria that is closely related to the Mycobacterium terrae complex and has been isolated from clinical samples, most commonly sputum samples, as well as environmental water sources (1–3). Multiple reports of tenosynovitis and osteoarticular infections with M. arupense have also been presented, including infections caused by the type strain AR30097 (4–8). Although the unique identification of M. arupense has generally been related to sequence analysis, the phenotypic properties of M. arupense that resulted in it being classified as a species include its inability to grow at 42°C, rapid growth at 30°C, variable pyrazinamidase activity, and mycolic acid patterns that distinguish it from M. terrae (1). Rapidly growing mycobacteria constitute a commonly isolated population of acid-fast bacillus in the clinical microbiology lab of varying clinical importance (9, 10). We sequenced the first draft genome of M. arupense from a sputum sample of a patient diagnosed with bronchiectasis. The isolate was originally typed as M. terrae complex by high-performance liquid chromatography; however, genome sequencing and analysis of the 16S and rpoB sequences revealed its identity as M. arupense. DNA from M. arupense strain GUC1 was extracted using the Qiagen EZ1 kit, and paired-end libraries were prepared using the Nextera XT DNA library kit followed by sequencing on the Illumina MiSeq. Sequences were adapter and quality (Q20) trimmed using cutadapt, de novo assembled using SPAdes v3.5, metagenomically screened for contaminating sequence with SURPI, and annotated via prokka v1.1 (11–14). A total of 6,386,174 paired-end reads of average length 117 nucleotides were recovered after trimming. De novo assembly yielded 173 contigs for a total assembly size of 4,441,412 bp with an N50 of 56,189 bp, an average coverage of 115×, and a total of 4,182 coding sequences. Contiguity was most likely disrupted by the high G+C content (67%) along with several high-copy-number integrases, transposases, and recombinases that were longer than sequence read length. Other high-copy number contigs included those containing genes to ESX/type VII secretion system, a distantly related 3-methyladenine glycosylase, and a copper-transporting ATPase. The assembly also includes 44 kb across two contigs that aligns with 99 to 100% nucleotide identity to the pMK12478 plasmid from Mycobacterium kansasii strain ATCC 12478 (15). Otherwise, the closest aligning sequenced genomes were Mycobacterium sp. JDM601 or Mycobacterium avium strains E1/E93 at approximately 80% nucleotide identity. By Comprehensive Antibiotic Resistance Database analysis, the GUC1 strain includes an ampC beta-lactamase and two metallo-beta-lactamases which demonstrate 80%, 90%, and 77% amino acid identity to that of M. avium strain Env 77, respectively (16, 17).

Nucleotide sequence accession numbers.

This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession no. LASW00000000. The assembly described in this paper is the second version, LASW02000000.
  16 in total

1.  Tenosynovitis caused by Mycobacterium arupense in a patient with diabetes mellitus.

Authors:  Tsen-Fang Tsai; Chih-Cheng Lai; I-Chen Tsai; Chih-Hao Chang; Cheng-Hsiang Hsiao; Po-Ren Hsueh
Journal:  Clin Infect Dis       Date:  2008-09-15       Impact factor: 9.079

2.  Osteomyelitis of the wrist caused by Mycobacterium arupense in an immunocompetent patient: a unique case.

Authors:  L Legout; N Ettahar; M Massongo; N Veziris; F Ajana; E Beltrand; E Senneville
Journal:  Int J Infect Dis       Date:  2012-07-17       Impact factor: 3.623

3.  The comprehensive antibiotic resistance database.

Authors:  Andrew G McArthur; Nicholas Waglechner; Fazmin Nizam; Austin Yan; Marisa A Azad; Alison J Baylay; Kirandeep Bhullar; Marc J Canova; Gianfranco De Pascale; Linda Ejim; Lindsay Kalan; Andrew M King; Kalinka Koteva; Mariya Morar; Michael R Mulvey; Jonathan S O'Brien; Andrew C Pawlowski; Laura J V Piddock; Peter Spanogiannopoulos; Arlene D Sutherland; Irene Tang; Patricia L Taylor; Maulik Thaker; Wenliang Wang; Marie Yan; Tennison Yu; Gerard D Wright
Journal:  Antimicrob Agents Chemother       Date:  2013-05-06       Impact factor: 5.191

4.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

5.  Two Rapidly Growing Mycobacterial Species Isolated from a Brain Abscess: First Whole-Genome Sequences of Mycobacterium immunogenum and Mycobacterium llatzerense.

Authors:  Alexander L Greninger; Charles Langelier; Gail Cunningham; Chris Keh; Michael Melgar; Charles Y Chiu; Steve Miller
Journal:  J Clin Microbiol       Date:  2015-04-29       Impact factor: 5.948

Review 6.  Mycobacterium arupense flexor tenosynovitis: case report and review of antimicrobial susceptibility profiles for 40 clinical isolates.

Authors:  Elena Beam; Shawn Vasoo; Patricia J Simner; Marco Rizzo; Erin L Mason; Randall C Walker; Sharon M Deml; Barbara A Brown-Elliott; Richard J Wallace; Nancy L Wengenack; Irene G Sia
Journal:  J Clin Microbiol       Date:  2014-04-30       Impact factor: 5.948

7.  Large joint osteoarticular infection caused by Mycobacterium arupense.

Authors:  Adam Seidl; Bennie Lindeque
Journal:  Orthopedics       Date:  2014-09       Impact factor: 1.390

8.  Genome-Wide Sequence Variation among Mycobacterium avium Subspecies paratuberculosis Isolates: A Better Understanding of Johne's Disease Transmission Dynamics.

Authors:  Chung-Yi Hsu; Chia-Wei Wu; Adel M Talaat
Journal:  Front Microbiol       Date:  2011-12-09       Impact factor: 5.640

9.  Insights on the emergence of Mycobacterium tuberculosis from the analysis of Mycobacterium kansasii.

Authors:  Joyce Wang; Fiona McIntosh; Nicolas Radomski; Ken Dewar; Roxane Simeone; Jost Enninga; Roland Brosch; Eduardo P Rocha; Frédéric J Veyrier; Marcel A Behr
Journal:  Genome Biol Evol       Date:  2015-02-25       Impact factor: 3.416

10.  A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples.

Authors:  Samia N Naccache; Scot Federman; Narayanan Veeraraghavan; Matei Zaharia; Deanna Lee; Erik Samayoa; Jerome Bouquet; Alexander L Greninger; Ka-Cheung Luk; Barryett Enge; Debra A Wadford; Sharon L Messenger; Gillian L Genrich; Kristen Pellegrino; Gilda Grard; Eric Leroy; Bradley S Schneider; Joseph N Fair; Miguel A Martínez; Pavel Isa; John A Crump; Joseph L DeRisi; Taylor Sittler; John Hackett; Steve Miller; Charles Y Chiu
Journal:  Genome Res       Date:  2014-06-04       Impact factor: 9.043

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