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. 2014 Dec 29;9:30. doi: 10.1186/1944-3277-9-30

High quality draft genome sequence of the heavy metal resistant bacterium Halomonas zincidurans type strain B6T

Ying-Yi Huo 1, Zheng-Yang Li 1, Hong Cheng 2, Chun-Sheng Wang 1, Xue-Wei Xu 1,
PMCID: PMC4286145  PMID: 25945155

Abstract

Halomonas zincidurans strain B6T was isolated from a deep-sea heavy metal rich sediment from the South Atlantic Mid-Ocean Ridge. The strain showed significant resistance to heavy metals, especially to zinc. Here we describe the genome sequence and annotation, as well as the features, of the organism. The genome contains 3,325 protein-coding genes (2,848 with predicted functions), 61 tRNA genes and 6 rRNA genes. H. zincidurans strain B6T encodes 31 genes related to heavy metal resistance. And HGT may play an important role in its adaption to the heavy metal rich environment. H. zincidurans strain B6T may have potential applications in the bioremediation of heavy metal-contaminated environments.

Keywords: Halomonas, Heavy metal resistant, The South Atlantic Ocean, Genome

Introduction

Heavy metals, either essential (e.g. Mn, Zn, Cu, Co, Ni and Mo) or toxic (e.g. Hg, Ag and Cd), are generally harmful to microbial cells even at low concentrations, as to other living organisms [1,2]. However, some microorganisms are able to resist to certain kinds and concentrations of heavy metals through several mechanisms, such as incorporating or precipitating heavy metals into complexes, oxidizing or reducing metals to less toxic valence states, and direct transporting metals out of the cell [3,4]. These heavy metal resistant microorganisms have been attracting great interests because of their potential biotechnological applications in bio-mining of expensive heavy metals and bioremediation of heavy metal-contaminated environment [2].

Halomonas, the largest genus of the family Halomonadaceae, can be found in most saline environments, including marine environments, salterns, saline lakes and soils, as well as salty foods, etc. [5,6]. Halomonas zincidurans strain B6T, a moderately halophilic bacterium, was isolated from a deep-sea sediment from the South Atlantic Mid-Ocean Ridge [5]. The strain was able to grow in medium containing high concentrations of heavy metals, especially Zn2+ ion, which is not detected in the reference strains and other moderately halophiles [5,7]. Therefore, the novel isolate was named as H. zincidurans due to its particular resistance to zinc ion [5]. Here, we present a summary classification and a set of features of H. zincidurans strain B6T, together with the description of the genomic sequencing and annotation.

Organism information

A deep-sea sediment sample, TVG10, was collected from the South Atlantic Mid-Ocean Ridge (Table 1). There were many small hard orange red-colored lumps mixed in the sediment sample, which might be the particles containing ferric oxide and diffusing with hydrothermal plumes [8]. Not surprisingly, the concentrations of heavy metals in sample TVG10 were much higher than those in the samples collected from deep-sea seamount sediment [9], offshore sediment [10] and continental crust [11] (Additional file 1: Table S1), including Fe (98.99 mg/g), Mn (42.48 mg/g), Cu (0.839 mg/g), Ni (0.338 mg/g), Zn (0.285 mg/g), Cr (0.195 mg/g) and Co (0.064 mg/g). With consideration of the heavy metal rich environment, marine broth 2216 medium (MB, BD) containing 20 mM Mn2+ was used to isolate heavy metal resistant strains. Subsequently a strain named B6T was obtained [5].

Table 1.

Classification and general features of H. zincidurans B6 T according to the MIGS recommendations [12]

MIGS ID Property Term Evidence code a
 
Current classification
Domain Bacteria
TAS [13]
 
 
Phylum Proteobacteria
TAS [14]
 
 
Class Gammaproteobacteria
TAS [15,16]
 
 
Order Oceanospirillales
TAS [15,17]
 
 
Family Halomonadaceae
TAS [18]–[22]
 
 
Genus Halomonas
TAS [22]–[24]
 
 
Species Halomonas zincidurans
TAS [5]
 
 
Type strain B6T = CGMCC 1.12450T = JCM 18472T
 
 
Gram stain
Negative
TAS [5]
 
Cell shape
Rod
TAS [5]
 
Motility
Motile
TAS [5]
 
Sporulation
Nonsporulating
TAS [5]
 
Temperature range
4-37°C
TAS [5]
 
Optimum temperature
35°C
TAS [5]
 
pH range; Optimum
5.0-8.5; 7.0
 
 
Carbon source
Adonitol, L-arabinose, cellobiose, ethanol, D-fructose, D-glucose, glycerol, maltose, mannitol, D-mannose, D-ribose, D-salicin, D-sorbitol, starch, D-xylose, acetate, citrate, D-gluconate, propionate, pyruvate, succinate, L-alanine, L-arginine, glycine, L-glutamate, L-lysine, L-ornithine and L-serine
TAS [5]
MIGS-6
Habitat
Deep-sea sediment
TAS [5]
MIGS-6.3
Salinity
Moderately halophilic, 0.5-15% NaCl
TAS [5]
MIGS-22
Oxygen
Strictly aerobic
TAS [5]
MIGS-15
Biotic relationship
Free-living
NAS
MIGS-14
Pathogenicity
Not reported
 
MIGS-4
Geographic location
South Atlantic Ocean
TAS [5]
MIGS-5
Sample collection time
Feb 20, 2012
NAS
MIGS-4.1
Latitude
13.60° S
TAS [5]
MIGS-4.2
Longitude
14.52° W
TAS [5]
MIGS-4.3
Depth
2950 m
TAS [5]
MIGS-4.4 Altitude -2950 m TAS [5]

Evidence codes - 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 [25].

H. zincidurans strain B6T is a Gram-stained negative, rod-shaped (Figure 1), moderately halophilic bacterium growing at 0.5-15% (w/v) NaCl (Table 1). Strain B6T exhibited the highest 16S rRNA gene sequence similarity with H. xinjiangensis (96.1%). Phylogenetic analysis based on 16S rRNA gene sequences showed that strain B6T and H. xinjiangensis clustered together in a distinct branch within the genus Halomonas with a high bootstrap value (Figure 2). Strain B6T was able to resist high concentrations of heavy metals in liquid HM medium, including Mn2+ (200 mM), Co2+ (1.0 mM), Cu2+ (2.5 mM) and Zn2+ (14 mM). Its resistance to Zn2+ could be much higher (30 mM) when incubated on marine agar 2216 medium (MA, BD) [5], comparing to only 1 mM Zn2+ resisted by H. xinjiangensis TRM0175T. And the maximum zinc resistance concentration for 250 moderately halophilic bacteria, reported by Nieto et al., was only 2.5 mM [7]. Therefore, H. zincidurans strain B6T is of significant interest due to its prominent resistance to zinc.

Figure 1.

Figure 1

Micrograph of H. zincidurans strain B6 T obtained by scanning electron microscopy (S260; Cambridge).

Figure 2.

Figure 2

Phylogenetic tree highlighting the position of H. zincidurans strain B6T relative to phylogenetically closely related type strains within the family Halomonadaceae. The sequences were aligned using Clustal W [26], and the neighbor-joining tree [27] was constructed based on kimura 2-parameter distance model [28] by using MEGA5 [29]. Bootstrap values above 60% are shown obtained from 1,000 bootstrap replications. Bar, 0.05 substitutions per nucleotide position. The corresponding GenBank accession numbers are displayed in parentheses.

Genome sequencing information

Genome project history

The next-generation shotgun-sequencing and quality assurance was performed at the Beijing Genome Institute (BGI, Shenzhen). The gap closure and annotation processes were performed by the authors. The Whole Genome Shotgun project of H. zincidurans strain B6T has been deposited at DDBJ/EMBL/GenBank under the accession JNCK00000000. The version described in this paper is version JNCK01000000. Table 2 presents the project information and its association with MIGS version 2.0 compliance [12].

Table 2.

Project information

MIGS ID Property Term
MIGS-31
Finishing quality
High-quality draft
MIGS-28
Libraries used
One pair-end 494 bp library and one pair-end 2,586 bp library
MIGS-29
Sequencing platforms
Illumina HiSeq 2000
MIGS-31.2
Fold coverage
120 × (494 bp library) and 90 × (2,586 bp library)
MIGS-30
Assemblers
SOAPdenovo[30]
MIGS-32
Gene calling method
Glimmer v3.02 [31]
 
Locus Tag
HALZIN
 
Genbank ID
JNCK00000000
 
Genbank Date of Release
July 21, 2014
 
GOLD ID
Gi0069861
 
BIOPROJECT
PRJNA234075
 
Project relevance
Type strain, environmental, heavy metal resistance
MIGS-13 Source Material Identifier CGMCC 1.12450, JCM 18472

Growth conditions and DNA isolation

H. zincidurans strain B6T was aerobically cultivated in MB medium at 30°C. Total genomic DNA was extracted using the method described by Marmur [32]. The quality and quantity of the genomic DNA was determined by 0.6% agarose gel electrophoresis with λ-Hind III digest DNA marker (TaKaRa, Dalian, China) and by a Qubit® fluorometer (Invitrogen, CA, USA) with Qubit dsDNA BR Assay kit (Invitrogen, CA, USA). About 350 μg DNA with a concentration of 450 ng/μl was obtained.

Genome sequencing and assembly

Whole-genome shotgun DNA sequencing of H. zincidurans strain B6T was performed using Solexa paired-end sequencing technology (HiSeq2000 system, Illumina, USA) [33]. Two libraries with insert size 494 bp and 2,586 bp were constructed and a total of 519 Mb and 416 Mb raw data were produced before filtering. After removing the adapter, duplicated reads and short inserts from the data of large library, there remained 433 Mb (~120-folds genome coverage) and 328 Mb (~90-folds genome coverage) clean data from the small and large libraries for assembling, respectively. Then these sequences were assembled into 15 contigs using the SOAPdenovo v.1.05 [30], the contig N50 length of which was 1,864,365 bp. PCR primers for gap closure were designed by Primer Premier v.5. PCR reactions were performed with PrimeSTAR HS Polymerase (TaKaRa, Dalian, China) and the amplicons were sequenced using Sanger and primer walking technologies. The sequenced fragments were subsequently assembled with the contigs using SeqMan of the Lasergene package (DNAstar, Madison, WI) into 2 contigs.

Genome annotation

The whole genomic tRNAs were identified using tRNAscan-SE v.1.21 [34] with bacterial model, and rRNAs were found by RNAmmer v.1.2 Server [35]. ORFs were predicted using Glimmer v.3.0 [31]. The predicted ORFs were translated and analyzed using the NCBI nonredundant, Swiss-Prot [36] and COG [37] databases, as well as RAST server online [38] for genome annotation. KAAS [39] was used to assign the predict proteins into KEGG pathway [40] with BBH method. Genes with signal peptides and transmembrane helices were predicted using TMHMM server v.2.0 [41] and SignalP server v.4.1 [42], respectively. The G+C content, G+C content at the third-codon position and RSCU were calculated by CodonW v.1.4.4.

Genome properties

The genome was assembled into 2 contigs, one with a size of 3,546,937 bp and the other with 7,823 bp (Table 3). The G+C content determined based on the total 3,554,760 bp sequences was 66.41%. A total of 3,392 genes were predicted, including 3,325 protein-coding genes, 61 tRNA genes and two copies of 16S-23S-5S rRNA gene operons (Table 4 and Figure 2). Among the protein coding genes, 2,848 were assigned to putative functions, and the remaining was annotated as hypothetical proteins. In total, 1,938 and 442 protein coding genes were assigned to KEGG and subsystems, respectively. The detailed properties and the statistics of the genome as well as the distribution of genes into COG functional categories are summarized in Tables 3, 4 and 5, Figure 3 and Additional file 2: Table S2.

Table 3.

Summary of genome: two contigs

Label Size (Mb) Topology INSDC identifier
Contig 1
3.546937
Linear
JNCK01000001.1
Contig 2 0.007823 Linear JNCK01000002.1

Table 4.

Nucleotide content and gene count levels of the genome

Attribute
 
Genome (total)
  Value % of total
Genome size (bp)
3,554,760
-
DNA coding (bp)
3,153,982
88.73
DNA G+C (bp)
2,289,453
66.41
DNA scaffolds
2
-
Total genes
3,392
-
Protein coding genes
3,325
98.02
RNA genes
67
1.98
Genes with function prediction
2,916
85.97
Genes assigned to COGs
2,764
81.49
1 or more conserved domains
2,764
81.49
2 or more conserved domains
329
9.70
3 or more conserved domains
74
2.18
4 or more conserved domains
23
0.68
Genes with Pfam domains
2,188
64.50
Genes with signal peptides
180
5.31
Genes with transmembrane helices
697
20.55
CRISPR repeats 1 -

Table 5.

Number of genes associated with the 25 general COG functional categories

Code Value % of total Description
J
164
5.14
Translation
A
1
0.03
RNA processing and modification
K
230
7.21
Transcription
L
188
5.89
Replication, recombination and repair
B
4
0.13
Chromatin structure and dynamics
D
32
1.00
Cell cycle control, mitosis and meiosis
Y
-
-
Nuclear structure
V
33
1.03
Defense mechanisms
T
127
3.98
Signal transduction mechanisms
M
182
5.71
Cell wall/membrane biogenesis
N
64
2.01
Cell motility
Z
-
-
Cytoskeleton
W
-
-
Extracellular structures
U
62
1.94
Intracellular trafficking and secretion
O
109
3.42
Posttranslational modification, protein turnover, chaperones
C
215
6.74
Energy production and conversion
G
216
6.77
Carbohydrate transport and metabolism
E
325
10.19
Amino acid transport and metabolism
F
76
2.38
Nucleotide transport and metabolism
H
145
4.55
Coenzyme transport and metabolism
I
118
3.70
Lipid transport and metabolism
P
171
5.36
Inorganic ion transport and metabolism
Q
108
3.39
Secondary metabolites biosynthesis, transport and catabolism
R
391
12.26
General function prediction only
S
229
7.18
Function unknown
- 628 18.51 Not in COGs

Figure 3.

Figure 3

Circular map of the chromosome of H. zincidurans strain B6T. Labeling from the outside to the inside circle: ORFs on the forward strand (colored by COG categories), ORFs on the reverse strand (colored by COG categories), RNA genes (tRNAs red, rRNAs blue), G+C content (peaks out/inside the circle indicate values higher or lower than the average G+C content, respectively), GC skew (calculated as (G-C)/(G+C), green/purple peaks out/inside the circle indicates values higher or lower than 1, respectively).

Insights into the genome

The genome of H. zincidurans strain B6T contains 31 genes related to heavy metal resistance, especially to zinc resistance (Table 6). Zinc is an essential but also toxic metal for living being [2,43]. The concentration of zinc inside bacterial cells is maintained by importing limitation, efflux, accumulation and sequestration [44,45]. H. zincidurans strain B6T possesses four heavy metal translocating P-type ATPases (HALZIN_733, HALZIN_1240, HALZIN_2196 and HALZIN_2262), which may participate in the transport of Zn2+, Mn2+, Cu2+, Cd2+, Pb2+, Ag + and Hg2+ against the concentration gradient to the periplasm [2,44]. Especially the two ZntA P-type ATPases (HALZIN_733 and HALZIN_2196) may mediate resistance to Zn2+, Cd2+ and Pb2+[46,47]. Zn2+, Co2+, Cu2+, Cd2+ and Ni2+ are able to be transported by RND family efflux transporter protein (HALZIN_54, HALZIN_1411, HALZIN_2047, HALZIN_2208 and HALZIN_2209) from both the cytoplasm and the periplasm to outside [2,44]. Usually the P-type ATPases are regulated by MerR family regulators responding to the intracellular heavy metal concentration [44,48,49]. Six analogues of MerR family regulators (HALZIN_399, HALZIN_922, HALZIN_2261, HALZIN_2264, HALZIN_2469 and HALZIN_2675) were found in the genome of H. zincidurans strain B6T. Additionally, a zinc uptake regulation protein ZUR (HALZIN_1413), which is a repressor regulator during zinc uptake, is also detected [44,50]. The presence of these genes is accordance with zinc resistance phenotype of H. zincidurans strain B6T.

Table 6.

Description of the genes related to heavy metal resistance

Protein id Position Size/aa Strand Predicted function Closest relatives
Organism Class Identity Accession no.
HALZIN_54
48442-49500
352
+
RND family efflux transporter, MFP subunit
Idiomarina sediminum
Gammaproteobacteria
44%
WP_026860724
HALZIN_399
433553-434005
150
+
MerR family Cd(II)/Pb(II)-responsive transcriptional regulator
Halomonas lutea
Gammaproteobacteria
75%
WP_019019418
HALZIN_733
778272-780812
846
+
Heavy metal translocating P-type ATPase ZntA
Gracilimonas tropica
Sphingobacteriia
59%
WP_020403952
HALZIN_916
977118-976882
78
-
Mercuric transport protein MerE
Burkholderia cepacia
Betaproteobacteria
99%
YP_006965885
HALZIN_917
977480-977115
121
-
Transcriptional regulator MerD
Pseudomonas putida
Gammaproteobacteria
98%
WP_012806008
HALZIN_918
978239-977592
215
-
Alkylmercury lyase MerB
Paraglaciecola polaris
Gammaproteobacteria
84%
WP_007106069
HALZIN_919
979028-978390
212
-
Alkylmercury lyase MerB
Paraglaciecola polaris
Gammaproteobacteria
94%
WP_007106069
HALZIN_920
979808-979179
209
-
Alkylmercury lyase MerB
Paraglaciecola polaris
Gammaproteobacteria
90%
WP_007106069
HALZIN_922
980118-980540
140
+
Transcriptional regulator MerR
Stenotrophomonas maltophilia
Gammaproteobacteria
99%
WP_005413398
HALZIN_934
994405-993521
294
-
Magnesium and cobalt efflux protein CorC
Chromohalobacter salexigens
Gammaproteobacteria
81%
WP_011507633
HALZIN_1240
1334217-1331998
739
-
Heavy metal translocating P-type ATPase
Halomonas sp.
Gammaproteobacteria
97%
WP_023004666
HALZIN_1392
1499237-1498659
192
-
Superoxide dismutase
Halomonas smyrnensis
Gammaproteobacteria
85%
WP_016854901
HALZIN_1411
1521826-1522995
389
+
RND family efflux transporter, MFP subunit
Halomonas lutea
Gammaproteobacteria
76%
WP_019017686
HALZIN_1413
1526330-1526785
151
+
Zinc uptake regulation protein ZUR
Halomonas lutea
Gammaproteobacteria
82%
WP_019017691
HALZIN_2047
2179598-2182789
1063
+
RND family efflux transporter protein
Pseudoxanthomonas suwonensis
Gammaproteobacteria
85%
WP_013535339
HALZIN_2196
2338252-2335574
892
-
Heavy metal translocating P-type ATPase ZntA
Halomonas lutea
Gammaproteobacteria
65%
WP_019020337
HALZIN_2208
2355137-2351976
1053
-
RND family efflux transporter protein
Pseudomonas alcaligenes
Gammaproteobacteria
58%
WP_021217164
HALZIN_2209
2356423-2351976
428
-
RND family efflux transporter, MFP subunit
Halomonas lutea
Gammaproteobacteria
53%
WP_019020155
HALZIN_2260
2411989-2410787
400
-
Multicopper oxidase
Sphingopyxis baekryungensis
Alphaproteobacteria
55%
WP_022673021
HALZIN_2261
2412630-2413034
134
+
Transcriptional regulator MerR
Halomonas lutea
Gammaproteobacteria
90%
WP_019017365
HALZIN_2262
2413107-2415596
829
+
Heavy metal translocating P-type ATPase
Halomonas lutea
Gammaproteobacteria
92%
WP_019017357
HALZIN_2264
2416527-2416976
149
+
Transcriptional regulator MerR
Halomonas lutea
Gammaproteobacteria
89%
WP_026300314
HALZIN_2268
2423176-2423622
148
+
CopG family transcriptional regulator
Halomonas lutea
Gammaproteobacteria
80%
WP_019017364
HALZIN_2271
2424931-2425086
51
+
Copper resistance protein CopC
Hyphomonas neptunium
Alphaproteobacteria
51%
WP_011646711
HALZIN_2272
2425115-2425978
287
+
Copper resistance protein CopD
Thialkalivibrio sp.
Gammaproteobacteria
43%
WP_018881395
HALZIN_2469
2658088-2657690
132
-
Transcriptional regulator MerR
Halomonas lutea
Gammaproteobacteria
90%
WP_019020805
HALZIN_2470
2658244-2658588
114
+
Mercuric transport protein MerT
Halomonas lutea
Gammaproteobacteria
78%
WP_019020806
HALZIN_2471
2658620-2658925
101
+
Periplasmic mercury(+2) binding protein MerP
Halomonas lutea
Gammaproteobacteria
82%
WP_019020807
HALZIN_2472
2658988-2660622
544
+
Mercuric reductase, MerA family
Halomonas lutea
Gammaproteobacteria
93%
WP_019020808
HALZIN_2675
2872087-2872584
165
+
Transcriptional regulator MerR
Halomonas sp.
Gammaproteobacteria
66%
WP_023005510
HALZIN_3265 3489632-3489021 203 - Superoxide dismutase Halomonas lutea Gammaproteobacteria 74% WP_019019731

Among the 31 ORFs related to heavy metal resistance, it is noteworthy of two mer-operons. One mer-operon encodes a mercuric transport protein (MerE, HALZIN_916) for organic mercury uptake [51], a transcriptional regulator (MerD, HALZIN_917), three alkylmercury lyases (MerB, HALZIN_918-920) catalyzing organomercurials yielding Hg2+[52] and a transcriptional regulator (MerR, HALZIN_922). The other one encodes a transcriptional regulator (MerR, HALZIN_2469), two mercuric transport proteins (MerT and MerP, HALZIN_2470-2471) for inorganic mercury uptake [51] and a mercuric reductase (MerA, HALZIN_2472) catalyzing Hg2+ to Hg0[53]. According to the genomic data, H. zincidurans strain B6T is able to survive in both inorganic and organic mercury environments. Interestingly, the four ORFs of the inorganic mer-operon showed the highest sequence identities to those of Halomonas lutea. Nevertheless, all the six ORFs of the organic mer-operon did not show the highest sequence identities to those of the genus Halomonas, but to the genera Burkholderia, Pseudomonas, Gladiecola and Stenotrophomonas, which indicates that the organic mer-operon might be acquired by HGT. Of special interest are the three alkylmercury lyases (MerB, HALZIN_918-920), which had obvious differences between the G+C content (56.6%; 57.1, 56.6 and 56.0% for these three gene sequences, respectively) as well as the G+C content at the third-codon positions (60.3%; 60.4, 61.0 and 59.4% for these three gene sequences, respectively) and those of the total protein-coding genes (65.4 and 82.8%, respectively). Besides, the RSCUs of nearly half of the 59 codons used by the three genes (23, 27 and 26 codons for HALZIN_918-920, respectively) change more than 2 folds, compared with those used by total protein-coding genes. 13 of the 31 ORFs (41.9%) were not related to Halomonadaceae genes according to the gene sequence similarity analysis, 9 of the 13 ORFs had RSCU change larger than 2 folds in more than 25% codons. These results indicated the existence of HGT events among the heavy metal resistance-related genes. Thus, HGT events might be an important way for H. zincidurans strain B6T to acquire heavy metal resistant ability and to adapt to the heavy metal rich environment.

Conclusion

The draft genome sequence of the heavy metal resistant bacteria H. zincidurans strain B6T isolated from the South Atlantic Mid-Ocean Ridge provide an insight into the genomic basis of its heavy metal resistance ability. And HGT may play an important role in its adaption to the heavy metal rich environment. On the basis of analysis and characterization of genome, H. zincidurans strain B6T might be resistant more kinds of heavy metal than we tested, such as Hg2+, Cd2+, Pb2+, Ni2+ and Ag+, etc. And it may have the potential for the bioremediation of multi-metal-contaminated environments. In addition, further analysis will be performed to confirm its resistant ability to other heavy metals and determine the mechanism of heavy metal resistance that we don’t know yet.

Abbreviations

HGT: Horizontal gene transfer; RSCU: Relative synonymous codon usage.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

YH designed and performed experiments, analyzed data and wrote the paper; ZL performed experiments; HC analyzed genome data; CW analyzed data; XX designed the experiments and wrote the paper. All authors read and approved the final manuscript.

Supplementary Material

Additional file 1: Table S1

Concentrations of heavy metals in deep-sea sediment collected from the South Atlantic Mid-Ocean Ridge (1) and the sediments from the Central Pacific seamount (2), offshore sediment (3) and continental crust (4).

Click here for file (30KB, doc)
Additional file 2: Table S2

Associated MIGS record.

Click here for file (72KB, doc)

Contributor Information

Ying-Yi Huo, Email: yingyihuo@gmail.com.

Zheng-Yang Li, Email: zhengyangli@gmail.com.

Hong Cheng, Email: hongcheng@gmail.com.

Chun-Sheng Wang, Email: wangsio@sio.org.cn.

Xue-Wei Xu, Email: xuxw@sio.org.cn.

Acknowledgements

This work was supported by the China Ocean Mineral Resources R & D Association (COMRA) Special Foundation (No. DY125-15-R-03); the National Natural Science Foundation of China (No. 41276173); the Zhejiang Provincial Natural Science Foundation of China (No. LQ13D060002) and the Scientific Research Fund of the Second Institute of Oceanography, SOA (No. JT1305).

References

  1. Valls M, de Lorenzo V. Exploiting the genetic and biochemical capacities of bacteria for the remediation of heavy metal pollution. FEMS Microbiol Rev. 2002;26(4):327–338. doi: 10.1111/j.1574-6976.2002.tb00618.x. [DOI] [PubMed] [Google Scholar]
  2. Nies DH. Microbial heavy-metal resistance. Appl Microbiol Biotechnol. 1999;51(6):730–50. doi: 10.1007/s002530051457. [DOI] [PubMed] [Google Scholar]
  3. Özdemir S, Kilinc E, Poli A, Nicolaus B, Güven K. Cd, Cu, Ni, Mn and Zn resistance and bioaccumulation by thermophilic bacteria. Geobacillus toebii subsp. decanicus and Geobacillus thermoleovorans subsp. stromboliensis. World J Microbiol Biotechnol. 2012;28(1):155–163. doi: 10.1007/s11274-011-0804-5. [DOI] [PubMed] [Google Scholar]
  4. Teitzel GM, Parsek MR. Heavy metal resistance of biofilm and planktonic Pseudomonas aeruginosa. Appl Environ Microbiol. 2003;69(4):2313–2320. doi: 10.1128/AEM.69.4.2313-2320.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Xu L, Xu X-W, Meng F-X, Huo Y-Y, Oren A, Yang J-Y, Wang C-S. Halomonas zincidurans sp. nov., a heavy-metal-tolerant bacterium isolated from the deep-sea environment. Int J Syst Evol Microbiol. 2013;63(Pt 11):4230–4236. doi: 10.1099/ijs.0.051656-0. [DOI] [PubMed] [Google Scholar]
  6. Arahal DR, Ventosa A. In: The Prokaryotes: a Handbook on the Biology of Bacteria, Volume 6. 3. Dworkin M, Falkow S, Rosenberg E, Schleifer KH, Stackebrandt E, editor. New York: Springer; 2006. The family Halomonadaceae; p. 811. [Google Scholar]
  7. Nieto JJ, Fernandez-Castillo R, Marquez MC, Ventosa A, Quesada E, Ruiz-Berraquero F. Survey of metal tolerance in moderately halophilic eubacteria. Appl Environ Microbiol. 1989;55(9):2385–90. doi: 10.1128/aem.55.9.2385-2390.1989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Feely RA, Geiselman TL, Baker ET, Massoth GJ, Hammond SR. Distribution and composition of hydrothermal plume particles from the ASHES Vent Field at Axial Volcano, Juan de Fuca Ridge. J Geophys Res: Solid Earth. 1990;95(B8):12855–12873. doi: 10.1029/JB095iB08p12855. [DOI] [Google Scholar]
  9. Huo Y, Cheng H, Anton FP, Wang C, Jiang X, Pan J, Wu M, Xu X. Ecological functions of uncultured microorganisms in the cobalt-rich ferromanganese crust of a seamount in the central Pacific are elucidated by fosmid sequencing. Acta Oceanologica Sinica. 2014. in press.
  10. Zhao Q. Ocean Geochemistry. Beijing: The Geological Publishing House; 1988. [Google Scholar]
  11. Hans WK. The composition of the continental crust. Geochim Cosmochim Acta. 1995;59(7):1217–1232. doi: 10.1016/0016-7037(95)00038-2. [DOI] [Google Scholar]
  12. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV, Ashburner M, Axelrod N, Baldauf S, Ballard S, Boore J, Cochrane G, Cole J, Dawyndt P, De Vos P, dePamphilis C, Edwards R, Faruque N, Feldman R, Gilbert J, Gilna P, Glöckner FO, Goldstein P, Guralnick R, Haft D, Hancock D. et al. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol. 2008;26(5):541–7. doi: 10.1038/nbt1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya. Proc Natl Acad Sci U S A. 1990;87(12):4576–9. doi: 10.1073/pnas.87.12.4576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Garrity GM, Bell JA, Lilburn T. In: Bergey's Manual of Systematic Bacteriology, Volume 2, Part B. 2. Garrity GM, Brenner DJ, Krieg NR, Staley JT, editor. New York: Springer; 2005. Phylum XIV. Proteobacteria phyl. nov; p. 1. [Google Scholar]
  15. Validation of publication of new names and new combinations previously effectively published outside the IJSEM. Int J Syst Evol Microbiol. 2005;55(6):2235–2238. doi: 10.1099/ijs.0.63767-0. [DOI] [PubMed] [Google Scholar]
  16. Garrity GM, Bell JA, Lilburn T. In: Bergey's Manual of Systematic Bacteriology, Volume 2, Part B. 2. Garrity GM, Brenner DJ, Krieg NR, Staley JT, editor. New York: Springer; 2005. Class III. Gammaproteobacteria class. nov; p. 1. [Google Scholar]
  17. Garrity GM, Bell JA, Lilburn T. In: Bergey's Manual of Systematic Bacteriology, Volume 2. 2. Brenner DJ, Krieg NR, Staley JT, Garrity GM, editor. Springer, New York: Part B; 2005. Order VIII. Oceanospirillales ord. nov; p. 270. [Google Scholar]
  18. Franzmann PD, Wehmeyer U, Stackebrandt E. Halomonadaceae fam. nov., a new family of the class Proteobacteria to accommodate the genera Halomonas and Deleya. Syst Appl Microbiol. 1988;11(1):16–19. doi: 10.1016/S0723-2020(88)80043-2. [DOI] [Google Scholar]
  19. Ntougias S, Zervakis GI, Fasseas C. Halotalea alkalilenta gen. nov., sp. nov., a novel osmotolerant and alkalitolerant bacterium from alkaline olive mill wastes, and emended description of the family Halomonadaceae Franzmann et al. 1989, emend. Dobson and Franzmann 1996. Int J Syst Evol Microbiol. 2007;57(9):1975–1983. doi: 10.1099/ijs.0.65078-0. [DOI] [PubMed] [Google Scholar]
  20. Ben Ali Gam Z, Abdelkafi S, Casalot L, Tholozan JL, Oueslati R, Labat M. Modicisalibacter tunisiensis gen. nov., sp. nov., an aerobic, moderately halophilic bacterium isolated from an oilfield-water injection sample, and emended description of the family Halomonadaceae Franzmann et al. 1989 emend Dobson and Franzmann 1996 emend. Ntougias et al. 2007. Int J Syst Evol Microbiol. 2007;57(10):2307–2313. doi: 10.1099/ijs.0.65088-0. [DOI] [PubMed] [Google Scholar]
  21. NOTES. Validation of the publication of new names and new combinations previously effectively published outside the IJSB: List No. 29†. Int J Syst Bacteriol. 1989;39(2):205–206. [Google Scholar]
  22. Dobson SJ, Franzmann PD. Unification of the genera Deleya (Baumann et al. 1983), Halomonas (Vreeland et al. 1980), and Halovibrio (Fendrich 1988) and the species Paracoccus halodenitrificans (Robinson and Gibbons 1952) into a single genus, Halomonas, and placement of the genus Zymobacter in the Family Halomonadaceae. Int J Syst Bacteriol. 1996;46(2):550–558. doi: 10.1099/00207713-46-2-550. [DOI] [Google Scholar]
  23. Vreeland RH, Litchfield CD, Martin EL, Elliot E. Halomonas elongata, a new genus and species of extremely salt-tolerant bacteria. Int J Syst Bacteriol. 1980;30(2):485–495. doi: 10.1099/00207713-30-2-485. [DOI] [Google Scholar]
  24. Mellado E, Moore ERB, Nieto JJ, Ventosa A. Phylogenetic inferences and taxonomic consequences of 16S ribosomal DNA sequence comparison of Chromohalobacter marismortui, Volcaniella eurihalina, and Deleya salina and reclassification of V. eurihalina as Halomonas eurihalina comb. nov. Int J Syst Bacteriol. 1995;45(4):712–716. doi: 10.1099/00207713-45-4-712. [DOI] [PubMed] [Google Scholar]
  25. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000;25(1):25–9. doi: 10.1038/75556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22(22):4673–4680. doi: 10.1093/nar/22.22.4673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4(4):406–425. doi: 10.1093/oxfordjournals.molbev.a040454. [DOI] [PubMed] [Google Scholar]
  28. Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980;16(2):111–120. doi: 10.1007/BF01731581. [DOI] [PubMed] [Google Scholar]
  29. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011;28(10):2731–2739. doi: 10.1093/molbev/msr121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Li R, Zhu H, Ruan J, Qian W, Fang X, Shi Z, Li Y, Li S, Shan G, Kristiansen K. De novo assembly of human genomes with massively parallel short read sequencing. Genome Res. 2010;20(2):265–272. doi: 10.1101/gr.097261.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Delcher AL, Bratke KA, Powers EC, Salzberg SL. Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics. 2007;23(6):673–679. doi: 10.1093/bioinformatics/btm009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Marmur J. A procedure for the isolation of deoxyribonucleic acid from microorganisms. J Mol Biol. 1961;3(2):208–218. doi: 10.1016/S0022-2836(61)80047-8. [DOI] [Google Scholar]
  33. Bentley DR, Balasubramanian S, Swerdlow HP, Smith GP, Milton J, Brown CG, Hall KP, Evers DJ, Barnes CL, Bignell HR, Boutell JM, Bryant J, Carter RJ, Cheetham RK, Cox AJ, Ellis DJ, Flatbush MR, Gormley NA, Humphray SJ, Irving LJ, Karbelashvili MS, Kirk SM, Li H, Liu X, Maisinger KS, Murray LJ, Obradovic B, Ost T, Parkinson ML, Pratt MR. et al. Accurate whole human genome sequencing using reversible terminator chemistry. Nature. 2008;456(7218):53–9. doi: 10.1038/nature07517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997;25(5):955–64. doi: 10.1093/nar/25.5.0955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 2007;35(9):3100–3108. doi: 10.1093/nar/gkm160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Bairoch A, Boeckmann B. The SWISS-PROT protein sequence data bank. Nucleic Acids Res. 1992;20(Suppl):2019–22. doi: 10.1093/nar/20.suppl.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Tatusov RL, Galperin MY, Natale DA, Koonin EV. The COG database: a tool for genome-scale analysis of protein functions and evolution. Nucleic Acids Res. 2000;28(1):33–6. doi: 10.1093/nar/28.1.33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O. The RAST Server: rapid annotations using subsystems technology. BMC Genomics. 2008;9:75. doi: 10.1186/1471-2164-9-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Moriya Y, Itoh M, Okuda S, Yoshizawa AC, Kanehisa M. KAAS: an automatic genome annotation and pathway reconstruction server. Nucleic acids res. 2007;35(suppl 2):W182–5. doi: 10.1093/nar/gkm321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Kanehisa M, Goto S, Kawashima S, Okuno Y, Hattori M. The KEGG resource for deciphering the genome. Nucleic Acids Res. 2004;32(Database issue):D277–80. doi: 10.1093/nar/gkh063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Krogh A, Larsson B, von Heijne G, Sonnhammer ELL. Predicting transmembrane protein topology with a hidden markov model: application to complete genomes. J Mol Biol. 2001;305(3):567–580. doi: 10.1006/jmbi.2000.4315. [DOI] [PubMed] [Google Scholar]
  42. Dyrløv Bendtsen J, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: SignalP 3.0. J Mol Biol. 2004;340(4):783–795. doi: 10.1016/j.jmb.2004.05.028. [DOI] [PubMed] [Google Scholar]
  43. McCall KA, C-c H, Fierke CA. Function and mechanism of zinc metalloenzymes. J Nutr. 2000;130(5):1437S–1446S. doi: 10.1093/jn/130.5.1437S. [DOI] [PubMed] [Google Scholar]
  44. Choudhury R, Srivastava S. Zinc resistance mechanisms in bacteria. Cur Sci. 2001;81(7):768–775. [Google Scholar]
  45. Blencowe DK, Morby AP. Zn (II) metabolism in prokaryotes. FEMS Microbiol Rev. 2003;27(2‒3):291–311. doi: 10.1016/S0168-6445(03)00041-X. [DOI] [PubMed] [Google Scholar]
  46. Rensing C, Sun Y, Mitra B, Rosen BP. Pb(II)-translocating P-type ATPases. J Biol Chem. 1998;273(49):32614–32617. doi: 10.1074/jbc.273.49.32614. [DOI] [PubMed] [Google Scholar]
  47. Rensing C, Mitra B, Rosen BP. The zntA gene of Escherichia coli encodes a Zn(II)-translocating P-type ATPase. Proc Natl Acad Sci U S A. 1997;94(26):14326–14331. doi: 10.1073/pnas.94.26.14326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Brown NL, Stoyanov JV, Kidd SP, Hobman JL. The MerR family of transcriptional regulators. FEMS Microbiol Rev. 2003;27(2–3):145–63. doi: 10.1016/S0168-6445(03)00051-2. [DOI] [PubMed] [Google Scholar]
  49. Brocklehurst KR, Hobman JL, Lawley B, Blank L, Marshall SJ, Brown NL, Morby AP. ZntR is a Zn(II)-responsive MerR-like transcriptional regulator of zntA in Escherichia coli. Mol Microbiol. 1999;31(3):893–902. doi: 10.1046/j.1365-2958.1999.01229.x. [DOI] [PubMed] [Google Scholar]
  50. Hantke K. Bacterial zinc uptake and regulators. Curr Opin Microbiol. 2005;8(2):196–202. doi: 10.1016/j.mib.2005.02.001. [DOI] [PubMed] [Google Scholar]
  51. Sone Y, Pan-Hou H, Nakamura R, Sakabe K, Kiyono M. Roles played by MerE and MerT in the transport of inorganic and organic mercury compounds in Gram-negative bacteria. J Health Sci. 2010;56(1):123–127. doi: 10.1248/jhs.56.123. [DOI] [Google Scholar]
  52. Pitts KE, Summers AO. The roles of thiols in the bacterial organomercurial lyase (MerB) Biochemistry. 2002;41(32):10287–96. doi: 10.1021/bi0259148. [DOI] [PubMed] [Google Scholar]
  53. Felske A, Fehr W, Pauling B, von Canstein H, Wagner-Dobler I. Functional profiling of mercuric reductase (mer A) genes in biofilm communities of a technical scale biocatalyzer. BMC Microbiol. 2003;3(1):22. doi: 10.1186/1471-2180-3-22. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: Table S1

Concentrations of heavy metals in deep-sea sediment collected from the South Atlantic Mid-Ocean Ridge (1) and the sediments from the Central Pacific seamount (2), offshore sediment (3) and continental crust (4).

Click here for file (30KB, doc)
Additional file 2: Table S2

Associated MIGS record.

Click here for file (72KB, doc)

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