Open Access

Complete genome sequence of the molybdenum-resistant bacterium Bacillus subtilis strain LM 4–2

  • Xiao-Yan You1,
  • Hui Wang1,
  • Guang-Yue Ren1,
  • Jing-Jing Li1,
  • Xu Duan1,
  • Hua-Jun Zheng2 and
  • Zheng-Qiang Jiang1, 3Email author
Standards in Genomic Sciences201510:127

DOI: 10.1186/s40793-015-0118-6

Received: 27 April 2015

Accepted: 3 December 2015

Published: 10 December 2015

Abstract

Bacillus subtilis LM 4–2, a Gram-positive bacterium was isolated from a molybdenum mine in Luoyang city. Due to its strong resistance to molybdate and potential utilization in bioremediation of molybdate-polluted area, we describe the features of this organism, as well as its complete genome sequence and annotation. The genome was composed of a circular 4,069,266 bp chromosome with average GC content of 43.83 %, which included 4149 predicted ORFs and 116 RNA genes. Additionally, 687 transporter-coding and 116 redox protein-coding genes were identified in the strain LM 4–2 genome.

Keywords

Gram-positive Molybdate Bioremediation Molybdenum-resistance Bacillus subtilis LM 4–2

Introduction

Bacillus subtilis LM 4–2 was a molybdenum-resistant strain isolated from a molybdenum mine. It has been reported that many microbes can resist the toxicity of molybdate ion though reduction of molybdate (Mo6+) to Mo-blue. Molybdenum-reducing microorganisms came from a variety of genera and included the following species, Klebsiella spp. [1, 2], Acidithiobacillus ferrooxidans [3], Enterobacter cloacae [4], Serratia marcescens [5, 6], Acinetobacter calcoaceticus [7], Pseudomonas spp. [8], and Escherichia coli K12 [9]. The capability of molybdate-reduction presents potential possibility of molybdenum bioremediationin many polluted areas [10]. Strain LM 4–2 showed stronger resistance to molybdate (up to 850 mM Na2MoO4) than many other reported molybdenum-resistant bacteria [11, 12]. However, no information related to the molecular mechanism of molybdenum-resistance has been identified, also in genus Bacillus . Thus, strain LM 4–2 might be a perfect subject for us to unveil the mechanism and evaluate its possibility utilization in bioremediation. Here we present the complete genome sequence and detailed genomic features of B. subtilis LM 4–2.

Organism information

Classification and features

Bacillus subtilis LM 4–2 (CGMCC 1.15213) is a Gram-positive, spore-forming, rod-shaped Bacillus (0.3-0.5 μm wide and 3.0–4.0 μm long) with an optimum pH 6.0 and optimum temperature of 30 °C (Table 1, Fig. 1). Colonies are milky white and matte with a wrinkled surface when growth on R2A agar medium. Strictly aerobic and catalase formed. Carbon substrates utilized for growth by strain LM 4–2 included D-glucose, maltose, lactose and sucrose. Strain LM 4–2 is closely related to Bacillus subtilis species based on the BLAST results of 16S rRNA gene [27]. The identity of 16S rRNA gene sequence between strain LM 4–2 and type strain B. subtilis DSM 10T is 100 %. A phylogenetic tree was constructed using the neighbor-Joining method under the default settings for complete sequence of 16S rRNA gene derived from genome of strain LM 4–2, along with the sequences of representative members of genus Bacillus [2834]. The phylogenetic tree was assessed by boot-strapped for 1000 times, which is shown in Fig. 2. Average nucleotide identity (ANI), average amino acid identity (AAI) and in silico Genome-to-Genome Hybridization value (GGDH) were calculated between the genomes of strain LM 4–2 and other 30 B. subtilis species that have been completed sequenced [3540]. Results show that strain LM 4–2 shares high ANI (>95 %, 23 of total 30), AAI (>95 %, 23 of total 30) and GGDH value (>70 %, 24 of total 30) with most of the complete sequenced B. subtilis species, and highest ANI (99.00 %), AAI (99.13 %) and GGDH value (92.20 % ± 1.85) with B. subtilis strain TO-A JPC (Additional file 1: Table S1).
Table 1

Classification and general features of Bacillus subtilis LM 4–2 according to the MIGS recommendations [13]

MIGS ID

Property

Term

Evidence codea

 

Classification

Domain Bacteria

TAS [14]

  

Phylum Firmicutes

TAS [1517]

  

Class Bacilli

TAS [18, 19]

  

Order Bacillales

TAS [20, 21]

  

Family Bacillaceae

TAS [20, 22]

  

Genus Bacillus

TAS [20, 23, 24]

  

Species Bacillus subtilis

TAS [25]

 

Gram stain

Positive

IDA

 

Cell shape

Rod-shaped

IDA

 

Motility

Motile

IDA

 

Sporulation

Spore-forming

NAS

 

Temperature range

4–45 °C

IDA

 

Optimum temperature

30 °C

IDA

 

pH range; Optimum

4–9; 6.0

IDA

 

Carbon source

organic carbon source

IDA

MIGS-6

Habitat

soil

IDA

MIGS-6.3

Salinity

salt tolerant

NAS

MIGS-22

Oxygen requirement

aerobic

IDA

MIGS-15

Biotic relationship

free-living

NAS

MIGS-14

Pathogenicity

non-pathogen

NAS

MIGS-4

Geographic location

Luoyang/Henan/China

IDA

MIGS-5

Sample collection

2012

IDA

MIGS-4.1

Latitude

33°55′3.21″N

 

MIGS-4.2

Longitude

111°31′0.42″E

 

MIGS-4.4

Altitude

1164.78

 

Evidence codes - IDA Inferred from Direct Assay, TAS Traceable Author Statement (i.e., a direct report exists in the literature), NAS Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [26]

Fig. 1

Transmission electron microscopy of strain LM 4–2. Scale bar corresponds to 1.0 μm

Fig. 2

Neighbor-Joining Phylogenetic tree was built with MEGA 5 based on 16S rRNAsequences [41]. The strains and their corresponding GenBank accession numbers for 16S rDNA sequences are: a Bacillus thioparans BMP-1 (DQ371431); b Bacillus selenatarsenatis (AB262082); c Bacillus methanolicus NCIMB 13113 (AB112727); d Bacillus azotoformans NBRC 15712 (AB363732); e Bacillus indicus Sd/3 (AJ583158); f Bacillus amyloliquefaciens BCRC 11601 (NR_116022); g Bacillus subtilis 168 (NC_000964); h Bacillus subtilis PPL-SC9 (KM226924); i Bacillus cohnii DSM 6307 (X76437); j Bacillus cereus ATCC 14579 (NR_074540); k Bacillus arsenicus con a/3 (AJ606700); l Bacillus arseniciselenatis E1H (AF064705); m Bacillus macyae JMM-4 (AY032601); n Bacillus beveridgei MLTeJB (FJ825145); o Bacillus selenitireducens MLS10 (CP001791)

Genome sequencing information

Genome project history

Bacillus subtilis LM 4–2 was selected for sequencing due to its strong resistance to molybdate and potential utilization in bioremediation of molybdate-polluted areas. The genome sequence was deposited in GenBank under accession number CP011101 and the genome project was deposited in the Genomes on Line Database [42] under Gp0112736. Genome sequencing and annotation were performed by Chinese National Human Genome Center at Shanghai. A summary of the project was given in Table 2.
Table 2

Genome sequencing project information

MIGS ID

Property

Term

MIGS 31

Finishing quality

Complete

MIGS-28

Libraries used

Two libraries, 20 Kb PacBio library, 2 × 150 bpllumina library

MIGS 29

Sequencing platforms

PacBio RS II, Illumina Hi-Seq

MIGS 31.2

Fold coverage

213-and 409-fold

MIGS 30

Assemblers

HGAP, bowtie2

MIGS 32

Gene calling method

Glimmer 3.02 and GeneMark

 

Locus Tag

BsLM

 

Genbank ID

CP011101

 

GenBank Date of Release

April 23, 2015

 

GOLD ID

Gp0112736

 

BIOPROJECT

PRJNA277611

MIGS 13

Source Material Identifier

CGMCC 1.15213

 

Project relevance

Environmental, Bioremediation

Growth conditions and genomic DNA preparation

Bacillus subtilis LM 4–2 was inoculated in 200 mL R2A medium and cultivated for 8 h at 30 °C in a shaker with speed of 200 rpm. 1.2 g of harvested cells was suspended in 5 mL TE (pH8.0) with 10 mg/mL lysozymeat 30 °C for 4 h. After centrifugation (12,000 rpm) for 10 min, genomic DNA was extracted by phenol-chloroform methods as described previously [43]. DNA was dissolved in 2 mL sterilized deionized water with a final concentration of 12.67 μg/μL and 2.04 of OD260/OD280 ratio determined by NanoDrop 2000 spectrophotometer (Thermo Scientific, USA). The genomic DNA was stored in −20 °C freezer.

Genome sequencing and assembly

The genome of Bacillus subtilis LM 4–2 was sequenced by a dual sequencing approach that using a combination of PacBio RS II and Genome Analyzer IIx sequence platforms. Approximately 121,583 PacBio and 1637 million Illumina reads were generated from PacBio platform and the Illumina platform (2 × 150 bp paired-end sequencing) with average sequence coverage of 213-and 409-fold.Sequence reads from the PacBio RS II were assembled by using hierarchical genome-assembly process assembler and finally only one self-cycled supper contig was generated. The Illumina reads were quality trimmed with the CLC Genomics Workbench and then utilized for error correction of the PacBio reads by using bowtie2 (version 2.1.0) software [44].

Genome annotation

The Glimmer 3.02 and GeneMark programs were used to predict the positions of open reading frames [45, 46]. Protein function was predicted by the following methods: 1) homology searches in the GenBank and UniProt protein database [47]; 2) function assignment searches in CDD database [48]; and 3) domain or motif searches in the Pfam databases [49]. The KEGG database was used to reconstruct metabolic pathways [50]. Ribosomal RNAs and Transfer RNAs were predicted by using RNAmmer and tRNAscan-SE programs [51, 52]. Transporters were predicted by searching the TCDB database using BLASTP program [27, 53] with expectation value lower than 1e-05.

Genome properties

The complete strain LM 4–2 genome was composed of a circular 4,069,266 bp chromosome with an overall 43.83 % G + C content. Four thousand one hundred forty-nine ORFs, 10 sets of rRNA operons, and 84 tRNAs were predicted in the LM 4–2 genome (Table 3 and Fig. 3). Two thousand seven hundred forty-two of total 4149 predicted ORFs could be functional assignment, 1415 were annotated as hypothetical proteins. When analyzed for biological roles according to COG categories, amino acid transport and metabolism proteins accounted for the largest percent (7.18 %) of all functionally assigned proteins, followed by carbohydrate transport and metabolism proteins (6.89 %), and Transcription proteins (6.43 %). There are 687 transporter-coding and 116 redox protein-coding genes were identified in the LM 4–2 genome. The distribution of genes into COGs functional categories is presented in Table 4.
Table 3

Genome statistics

Attribute

Value

% of Total

Genome size (bp)

4,069,266

100.00

DNA coding (bp)

3,596,010

88.37

DNA G + C (bp)

1,811,637

44.52

Total genes

4265

100.00

Protein coding genes

4149

97.28

RNA genes

116

2.72

rRNA operons

10

0.23

Genes with function prediction

2742

64.29

Genes assigned to COGs

3111

72.94

Genes with Pfam domains

3656

85.72

Genes with signal peptides

541

12.68

Genes with transmembrane helices

778

18.24

CRISPR repeats

0

0

Fig. 3

Graphic representation of circular map of the chromosome of strain LM 4–2.The map was generated with the DNAPlotter [54]. From outside to the center: the first two outer circles represent the positions of genes in the chromosome (Circle 1: plus strand, Circle 2: minus strand). Circle 3 represents tRNA genes (blue), Circle 4 represents G + C content, and Circle 5 represents GC skew

Table 4

Number of genes associated with general COG functional categoriesa

Code

Value

% age

Description

J

149

3.59

Translation, ribosomal structure and biogenesis

A

0

0.00

RNA processing and modification

K

267

6.44

Transcription

L

114

2.75

Replication, recombination and repair

B

1

0.02

Chromatin structure and dynamics

D

36

0.87

Cell cycle control, Cell division, chromosome partitioning

V

54

1.30

Defense mechanisms

T

127

3.06

Signal transduction mechanisms

M

191

4.60

Cell wall/membrane biogenesis

N

60

1.45

Cell motility

U

25

0.60

Intracellular trafficking and secretion

O

101

2.43

Posttranslational modification, protein turnover, chaperones

C

166

4.00

Energy production and conversion

G

286

6.89

Carbohydrate transport and metabolism

E

298

7.18

Amino acid transport and metabolism

F

82

1.98

Nucleotide transport and metabolism

H

114

2.75

Coenzyme transport and metabolism

I

89

2.14

Lipid transport and metabolism

P

168

4.05

Inorganic ion transport and metabolism

Q

72

1.74

Secondary metabolites biosynthesis, transport and catabolism

R

364

8.77

General function prediction only

S

347

8.36

Function unknown

-

1039

25.04

Not in COGs

aThe total is based on the total number of protein coding genes in the annotated genome

Conclusions

Molybdenum pollution has been reported in water and soils all around the world [55]. Some Mo-resistance bacteria can be used to immobilize soluble molybdenum toinsoluble formsalong with reducing the toxicity. In this study we presented the complete genome sequence of Bacillus subtilis LM 4–2, which was isolated from a molybdenum mine in Luoyang city. Due to its strong resistance to molybdate and potential utilization in bioremediation of molybdate-polluted area, we sequence the genome and try to identify the possible molecular mechanism of molybdenum-resistance. Genomic analysis of strain LM 4–2 revealed 687 transporter-coding and 116 redox protein-coding genes were separated in the genome. Three genome islands were identified in the strain LM 4–2 genome, covering 2.71 % of the whole genome. Three gene clusters were involved in the non-ribosomal synthesis of lipopeptides, such as surfactin, fengycin, and dipeptide bacilysin. Additionally, one gene clusters for subtilosin A synthesis and one gene clusters for polyketide synthesis. No CRISPRs were identified in the strain LM 4–2 genome. The complete genome sequence of strain LM 4–2 will facilitate functional genomics to elucidate the molecular mechanisms that underlie molybdenum-resistance and it may facilitate the bioremediation of molybdenum-contaminated areas.

Declarations

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (31200035, 41201224) and by the Research Fund for the Doctoral Program of Henan University of Science and Technology under Grant (09001608). Transmission electron microscopy was provided by instrument center of Institute of Microbiology, Chinese Academy of Sciences.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
College of Food and Bioengineering, Henan University of Science and Technology
(2)
Chinese National Human Genome Center at Shanghai
(3)
College of Food Science and Nutritional Engineering, China Agricultural University

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Copyright

© You et al. 2015