Literature DB >> 31727707

De Novo Genome Assembly of a Plant-Associated Rhodococcus qingshengii Strain (RL1) Isolated from Eruca sativa Mill. and Showing Plant Growth-Promoting Properties.

Theresa Kuhl1, Marius Felder2, Thomas Nussbaumer3,4, Doreen Fischer5, Susanne Kublik5, Soumitra Paul Chowdhury3, Michael Schloter5, Michael Rothballer3.   

Abstract

Rhodococcus qingshengii RL1 was isolated from surface-sterilized leaves of Eruca sativa Mill. and shows plant growth-promoting (PGP) properties. The de novo genome assembly consists of one chromosome with 6,253,838 bp and two plasmids with 144,038 bp and 448,745 bp. Many genes could be identified reflecting its PGP potential.
Copyright © 2019 Kuhl et al.

Entities:  

Year:  2019        PMID: 31727707      PMCID: PMC6856273          DOI: 10.1128/MRA.01106-19

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

The genus Rhodococcus belongs to the phylum Actinobacteria and includes aerobic, Gram-positive, nonsporulating bacteria isolated from a broad variety of environments (1–3). Some of these bacteria have large genomes (>5 Mb) with high G+C content (1–4). Their ability to degrade a large spectrum of environmentally problematic compounds (2, 5) or perform quorum quenching (4) makes them suitable for bioremediation or agricultural applications. RL1 was isolated from leaves of Eruca sativa Mill. Leaves were surface sterilized with 12% NaOCl, washed with sterile water, and macerated with sterile saline. The extract was plated on R2 agar and allowed to grow at 22°C for 5 days. Selected colonies were picked and allowed to grow on tryptic soy agar (TSA) and R2 agar at 28°C. For sequencing genomic DNA from RL1, a single colony picked from an agar plate was grown overnight in tryptic soy broth at 28°C. DNA was isolated via standard phenol-chloroform extraction with previous lysis with 600 μg/ml ampicillin for 3 h before extraction. For the PacBio Sequel system, the library was prepared with the SMRTbell template prep kit 1.0‐SPv3 and SMRTbell barcoded adapter complete prep kit-96. PacBio sequencing was performed with the Sequel sequencing kit 2.0 (8 reactions) and single-molecule real-time (SMRT) cell 1 M v2 tray. For Illumina MiSeq sequencing, the library was prepared using the TruSeq DNA PCR-free library preparation kit (Illumina, San Diego, CA, USA). Genomic DNA was fragmented by applying the Covaris E220 system according to the manufacturer’s protocol for a 550-bp average insert size and sequenced using MiSeq reagent kit v3 (600 cycles) (Illumina). A total of 376,794 PacBio long reads (average read lengths of 15,245 bp, 16,813 bp, and 34,341 bp [3 SMRT cells]; 209× coverage) and a total of 1,068,580 Illumina short reads (read length, 300 bp; 49× coverage), quality checked with FastQC 0.11.8 (6), were included in the de novo assembly of the RL1 genome using the hybrid assembler MaSuRCA 3.2.1_01032017 (7). Sequence assembly produced three contigs representing one chromosome and two plasmids (chromosome, 6,253,838 bp; plasmid 1, 144,038 bp; plasmid 2, 448,745 bp) with a G+C content of 62.4%. The chromosome and plasmid 1 were circularized with Circlator version 1.5.5 (8). A total of 6,652 coding sequences were predicted with Rapid Annotations using Subsystems Technology (RAST) 2.0 (9), and gene clusters were identified with antiSMASH 4.2.0 (10) and Plant-bacteria Interaction Factors Resource (PIFAR) (11). All tools were used with their default settings. Many identified gene clusters were associated with traits relevant for (beneficial) microbe-plant interactions, including siderophore production, indole acetic acid (IAA) production, osmoregulation (ectoine), glucosinolate metabolism (β-glucosidase and msrB), quorum quenching (qsdA), antibiotic production, biofilm formation, lipopolysaccharide production, multidrug resistance, microbe-associated molecular patterns (MAMPs), heavy metal tolerance, and reactive oxygen species resistance. The de novo assembly of the RL1 genome showed the highest similarity of >99% sequence identity with over 90% of the Rhodococcus qingshengii djl-6T genome, and the 16S rRNA genes of RL1 were 99.9% identical to those of djl-6T. In a 16S rRNA gene-based phylogenetic neighbor-joining tree (12) calculated with ARB 5.3 (13), RL1 was placed within a cluster (bootstrap support, 99%) consisting of Rhodococcus erythropolisT, Rhodococcus qingshengii djl-6T, Rhodococcus degradans CCM 4446T, and Rhodococcus baikonurensisT (Fig. 1). Further phylogenetic analysis of the gyrB gene verified the taxonomic classification of RL1 as Rhodococcus qingshengii (data not shown).
FIG 1

Neighbor-joining phylogenetic tree based on 16S rRNA sequences showing the phylogenetic relationship between Rhodococcus qingshengii RL1 and other members of the genus Rhodococcus and the family Nocardiaceae. Bootstrap values (%) for 1,000 resamplings are given at the nodes. Two versions of the 16S rRNA gene in the RL1 genome are included, differing at position 1074 (A or C) of the complete 16S rRNA gene.

Neighbor-joining phylogenetic tree based on 16S rRNA sequences showing the phylogenetic relationship between Rhodococcus qingshengii RL1 and other members of the genus Rhodococcus and the family Nocardiaceae. Bootstrap values (%) for 1,000 resamplings are given at the nodes. Two versions of the 16S rRNA gene in the RL1 genome are included, differing at position 1074 (A or C) of the complete 16S rRNA gene.

Data availability.

This whole-genome sequencing project was deposited in GenBank under accession no. CP042915, CP042916, and CP042917 and in SRA (raw data) under accession no. SRR10070368 and SRR10070367.
  12 in total

1.  ARB: a software environment for sequence data.

Authors:  Wolfgang Ludwig; Oliver Strunk; Ralf Westram; Lothar Richter; Harald Meier; Arno Buchner; Tina Lai; Susanne Steppi; Gangolf Jobb; Wolfram Förster; Igor Brettske; Stefan Gerber; Anton W Ginhart; Oliver Gross; Silke Grumann; Stefan Hermann; Ralf Jost; Andreas König; Thomas Liss; Ralph Lüssmann; Michael May; Björn Nonhoff; Boris Reichel; Robert Strehlow; Alexandros Stamatakis; Norbert Stuckmann; Alexander Vilbig; Michael Lenke; Thomas Ludwig; Arndt Bode; Karl-Heinz Schleifer
Journal:  Nucleic Acids Res       Date:  2004-02-25       Impact factor: 16.971

2.  The MaSuRCA genome assembler.

Authors:  Aleksey V Zimin; Guillaume Marçais; Daniela Puiu; Michael Roberts; Steven L Salzberg; James A Yorke
Journal:  Bioinformatics       Date:  2013-08-29       Impact factor: 6.937

3.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

4.  Prediction of bacterial associations with plants using a supervised machine-learning approach.

Authors:  Pedro Manuel Martínez-García; Emilia López-Solanilla; Cayo Ramos; Pablo Rodríguez-Palenzuela
Journal:  Environ Microbiol       Date:  2016-06-27       Impact factor: 5.491

5.  Complete genome sequence of Rhodococcus erythropolis BG43 (DSM 46869), a degrader of Pseudomonas aeruginosa quorum sensing signal molecules.

Authors:  Christian Rückert; Franziska S Birmes; Christine Müller; Heiko Niewerth; Anika Winkler; Susanne Fetzner; Jörn Kalinowski
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6.  Rhodococcus qingshengii sp. nov., a carbendazim-degrading bacterium.

Authors:  Jing-Liang Xu; Jian He; Zhi-Chun Wang; Kun Wang; Wen-Jun Li; Shu-Kun Tang; Shun-Peng Li
Journal:  Int J Syst Evol Microbiol       Date:  2007-12       Impact factor: 2.747

7.  Draft Genome Sequence of the Piezotolerant and Crude Oil-Degrading Bacterium Rhodococcus qingshengii Strain TUHH-12.

Authors:  Sara A Lincoln; Trinity L Hamilton; Ana Gabriela Valladares Juárez; Martina Schedler; Jennifer L Macalady; Rudolf Müller; Katherine H Freeman
Journal:  Genome Announc       Date:  2015-04-09

8.  Circlator: automated circularization of genome assemblies using long sequencing reads.

Authors:  Martin Hunt; Nishadi De Silva; Thomas D Otto; Julian Parkhill; Jacqueline A Keane; Simon R Harris
Journal:  Genome Biol       Date:  2015-12-29       Impact factor: 13.583

9.  antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification.

Authors:  Kai Blin; Thomas Wolf; Marc G Chevrette; Xiaowen Lu; Christopher J Schwalen; Satria A Kautsar; Hernando G Suarez Duran; Emmanuel L C de Los Santos; Hyun Uk Kim; Mariana Nave; Jeroen S Dickschat; Douglas A Mitchell; Ekaterina Shelest; Rainer Breitling; Eriko Takano; Sang Yup Lee; Tilmann Weber; Marnix H Medema
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

10.  The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).

Authors:  Ross Overbeek; Robert Olson; Gordon D Pusch; Gary J Olsen; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Bruce Parrello; Maulik Shukla; Veronika Vonstein; Alice R Wattam; Fangfang Xia; Rick Stevens
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

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