Literature DB >> 28770028

First draft genome sequence of a strain from the genus Fusibacter isolated from Salar de Ascotán in Northern Chile.

Antonio E Serrano1, Lorena V Escudero1,2, Cinthya Tebes-Cayo1, Mauricio Acosta1, Olga Encalada1, Sebastián Fernández-Moroso1, Cecilia Demergasso1,2.   

Abstract

Fusibacter sp. 3D3 (ATCC BAA-2418) is an arsenate-reducing halotolerant strain within the Firmicutes phylum, isolated from the Salar de Ascotán, a hypersaline salt flat in Northern Chile. This high-Andean closed basin is an athalassohaline environment located at the bottom of a tectonic basin surrounded by mountain range, including some active volcanoes. This landscape can be an advantageous system to explore the effect of salinity on microorganisms that mediate biogeochemical reactions. Since 2000, microbial reduction of arsenic has been evidenced in the system, and the phylogenetic analysis of the original community plus the culture enrichments has revealed the predominance of Firmicutes phylum. Here, we describe the first whole draft genome sequence of an arsenic-reducing strain belonging to the Fusibacter genus showing the highest 16S rRNA gene sequence similarity (98%) with Fusibacter sp. strain Vns02. The draft genome consists of 57 contigs with 5,111,250 bp and an average G + C content of 37.6%. Out of 4780 total genes predicted, 4700 genes code for proteins and 80 genes for RNAs. Insights from the genome sequence and some microbiological features of the strain 3D3 are available under Bioproject accession PRJDB4973 and Biosample SAMD00055724. The release of the genome sequence of this strain could contribute to the understanding of the arsenic biogeochemistry in extreme environments.

Entities:  

Keywords:  Arsenate-reducing bacteria; Arsenic biogeochemistry; Clostridiales; Firmicutes; Fusibacter; Hypersaline environment

Year:  2017        PMID: 28770028      PMCID: PMC5525254          DOI: 10.1186/s40793-017-0252-4

Source DB:  PubMed          Journal:  Stand Genomic Sci        ISSN: 1944-3277


Introduction

Salt flats or salares are one of the most interesting biomes on earth [1]. Based on their hypersaline conditions, prokaryotes have evolved to develop biochemical processes with potential applications in biotechnology [2], providing also opportunities for biosignature detection on other planets [3]. Due to geological, climatic and geomorphological factors, dozens of endorheic basins are located in Northern Chile including evaporitic bodies and saline lakes. Brines and crusts of these saline deposits are enriched in arsenic [4]. The Salar de Ascotán [5] is an athalassohaline environment located at the bottom of a tectonic basin surrounded by volcanic systems in east-west direction, including some active volcanoes with altitudes from 5000 to 6000 m.a.s.l. [6]. The saline crusts are mainly composed of chlorides (halite) and sulfates (gypsum) to economic boron-bearing minerals associated with significant amounts of arsenic sulfides [5], with the arsenic concentrations the highest found in the area [7]. In order to understand the bacterial role in the arsenic biogeochemical cycle at circumneutral pH, several sampling expeditions to Salar de Ascotán, in the Chilean High-Andes, have been taken since 2000. The microbial diversity of this salt flat was first analyzed [7], then enrichment [8], isolation and sequencing efforts [9] as well as geochemical in situ investigations wer performed [10]. In addition, the distribution of genes for the As (III) oxidation (aioA), As (V) detoxifying respiration (arrA), As detoxification (arsC), and As (III) extrusion (acr3) was explored in Salar de Ascotán and other natural environments in Northern Chile with arsenic concentrations spanning six orders of magnitude. The abundance of -like arsC genes compared to the Enterobacterial-like arsC genes in these environments suggested an important role of thioredoxin and the phylum in the local As biogeochemistry [11]. is a minor genus into the order within the phylum. Currently, it comprises four Gram-positive species with validly published names. This group started with the discovery of the thiosulfate-reducing bacterium , being the most studied, isolated from oil-producing wells [12]. was isolated from an anaerobic reactor used to treat olive-mill wastewater [13]. Recently, was identified from a corroded kerosene storage tank [14], and more recently, was the first species of this genus isolated from a natural environment [15]. In general terms, the reported members of this genus are fermentative and halotolerant anaerobes. Moreover, these species share sulfur-reducing features capable of generating sulfide starting from elemental sulfur [13, 15] or thiosulfate [12, 13] sources. To date, a whole-genome sequence has not been reported for any species within this genus. Here, we report the first draft genome of a strain of plus some microbiological properties of this halotolerant isolate, recovered from a saline environment in Northern Chile. The strain was deposited as sp. 3D3 as ATCC BAA-2418 because we are still running the necessary tests and deposits to describe the isolate as a new species and “ ascotence” is the proposed species name. This report contributes to a better understanding of the ecophysiology of extreme halotolerant microorganisms inhabiting saline environments and their role in the arsenic biogeochemistry.

Organism information

Classification and features

sp. 3D3 is an indigenous strain of the Salar de Ascotán hypersaline sediments isolated at the Centro de Biotecnología, Universidad Católica del Norte, Antofagasta, Chile. Enrichment, isolation, and growth experiments were performed in a fresh Newman-modified minimal medium [7] containing, 1% (w/v) NaCl, 0.1% (w/v) yeast extract, and 1 mM cysteine adjusted to pH 7.0. After autoclaving, 10 mM lactate as electron donor, and 20 mM sodium sulfate and 2 mM sodium arsenate as electron acceptors were added in order to complete 20 mL of medium into 50 mL-anaerobic-bottles (Supelco). The strain was incubated in an anaerobic chamber (Airlock, Coydrive), in dark, at 30 °C, under N2:CO2:H2 gas atmosphere (80:15:5, v/v) up to 10 days. The pure colonies were obtained by inclined tubes of agar prepared with the mentioned Newman modified medium plus 2% (w/v) agar incubated under anaerobic conditions at 30 °C. Single yellow colonies were restreaked several times to obtain pure isolates and then were transferred to the liquid medium. Transmission electron microscopy revealed rod-shaped cells (0.4 μm × 3-10 μm) (Fig. 1a).
Fig. 1

Isolation of Fusibacter sp. 3D3. a Transmission electron micrograph of bacterial cells filled with electron dense granules of variable density (Bar = 500 nm). b Arsenic speciation, lactate and acetate measurements of Fusibacter sp. strain 3D3 culture in Newman’s modified medium with 20 mM lactate, 10 mM sulphate, 2 mM arsenate, 0.1% (w/v) yeast extract, and 1 mM cysteine versus time. All error bars represent the standard error of the mean of triplicate cultures

Isolation of Fusibacter sp. 3D3. a Transmission electron micrograph of bacterial cells filled with electron dense granules of variable density (Bar = 500 nm). b Arsenic speciation, lactate and acetate measurements of Fusibacter sp. strain 3D3 culture in Newman’s modified medium with 20 mM lactate, 10 mM sulphate, 2 mM arsenate, 0.1% (w/v) yeast extract, and 1 mM cysteine versus time. All error bars represent the standard error of the mean of triplicate cultures Arsenate reduction was tested by inoculation of 1 × 10−6 cells mL−1 into 20 mL of fresh Newman-modified medium under incubation conditions described above. An abiotic control was carried out in sterile medium without inoculum. Growth curves were performed in triplicate and monitored by counting chambers (0.01 mm × 0.0025 mm2, Neubauer, Marienfeld). Samples were acquired periodically, then centrifuged (15,000×g; 10 min) to remove cells, and finally filtered through a 0.2 μm cellulose filter. The filtered supernatant was sealed and refrigerated at 4 °C to preserve arsenic speciation until analysis. As (V) and As (III) concentrations were measured with a mobile phase of 10 mM acid phosphate at 6.25 pH by Millennium Excalibur HPLC System (PS Analytical, Orpington, UK). To quantify lactate and acetate, each filtrate was injected in a Dionex IonPac AS11-HC column to run a high-performance liquid chromatography (Thermo Scientific model 3200) with an isocratic concentration of KOH. Arsenate reduction and simultaneous lactate consumption were evidenced (Fig. 1b). Arsenate reduction has not been reported in the other members of the genus. The Initial identification of strain 3D3 was performed by 16S rRNA gene amplification using a previously described method [7]. The 16S rRNA sequences of strain 3D3 clustered with type strains of species when those were aligned using Clustal W and manually corrected. A phylogenetic tree was constructed using neighbor-joining, maximum-parsimony, and maximum likelihood algorithms with bootstrap values of 500 replicates using the MEGA program version 6.22. Phylogenetic analysis of the 16S rRNA sequence indicated that the strain 3D3 belongs to the genus and exhibits a similarity of 98% with sp. Vns02, and 95% with both and (Fig. 2).
Fig. 2

Phylogenetic tree based on the 16S rRNA gene sequences highlighting the position of Fusibacter sp. strain 3D3 relative to other type and non-type strains of the genus Fusibacter. The Genbank database accession codes (in brackets) is indicated. Bootstrap values for 500 replicates are indicated at the nodes. Scale bar 0.02 substitutions per nucleotide position

Phylogenetic tree based on the 16S rRNA gene sequences highlighting the position of Fusibacter sp. strain 3D3 relative to other type and non-type strains of the genus Fusibacter. The Genbank database accession codes (in brackets) is indicated. Bootstrap values for 500 replicates are indicated at the nodes. Scale bar 0.02 substitutions per nucleotide position RapID™ NF Plus and RapID™ One (Thermo Scientific), two qualitative micromethods employing conventional and chromogenic substrates for the biochemical features identification were performed following the manufacturer’s instructions (Table 1). A single colony was inoculated into the given fluid and incubated for 24 h at 30 °C. Then, the inoculation fluid was transferred to the corresponding panel. The interpreted results were entered into the electronic RapID code database (ERIC electronic compendium, version 1.0.771, patch 0613). Comparing with the ERIC™ database, our results failed to identify our isolate (Table 1).
Table 1

Biochemical analyses of Fusibacter sp. strain 3D3

AnalysisTest CodeReactive ingredientResult
Amino acids hydrolysisADHArginine+
ODCOrnitine+
LDCLysine-
Enzymatic hydrolysis of arylamidePROProline-β-naphthylamide+
PYRPyrrolidine-β-naphthylamide+
GGTγ-Glutamyl-β naphthylamide-
TRYTryptophan-β- naphthylamide-
BANAN-Bencyl-arg-β-naphthylamide-
Enzymatic hydrolysis of glucosidePHSN-nitrophenyl-phosphoester+
NAGN-nitrohenyl-N-acetyl-β-D-glucosaminide+
αGLUN-nitrophenyl-α-D-glucoside-
βGLUN-nitrophenyl-β-D-glucoside-
ONPGN-nitrophenyl-β-D-galactoside-
GURN-nitrophenyl-β-D-glucuronide-
βXYLN-nitrophenyl-β-D-xyloside-
Carbohydrate utilizationKSFSugar aldehyde-
SBLSorbitol-
ADONAdonitol-
ESTThiol assay+
INDTryptophan assay-
MALMalonate assay+
GLUGlucose assayO
NO3 Nitrate assay+
UREHydrolysis of urea-
OXICytochrome oxidase-

O Oxidation

Analyses were performed utilizing RapIDTM NF Plus and RapIDTM One kits (Thermo Scientific)

Biochemical analyses of Fusibacter sp. strain 3D3 O Oxidation Analyses were performed utilizing RapIDTM NF Plus and RapIDTM One kits (Thermo Scientific)

Genome sequencing information

Genome project history

Based on its phylogenetic position and 16S rRNA similarity, sp. 3D3 (Taxonomy ID: 1,048,380) was previously submitted to NCBI in 2010 (Gene Bank 16S rRNA gene: FR873490.1) (Fig 2). Later, in 2013, it was deposited as sp. 3D3 in ATCC BAA-2418, being the first strain of this genus coming from an extreme arsenic bearing and saline biotope (Table 2). This organism was selected for genome sequencing based on its interesting phenotypic characteristics. Recently, in 2016, the submission of the whole shotgun project assembled as a draft genome was performed to the DNA Data Bank of Japan under the Bioproject accession number PRJDB4973 and Biosample number SAMD00055724 (ID 573014). This Whole Genome Shotgun project has been deposited at GenBank under the accession BDHH00000000. The version described in this paper is the first version, BDHH01000000 [16]. Table 3 presents the project information and its association with MIGS version 2.0 compliance [17].
Table 2

Classification and general features of Fusibacter sp. strain 3D3 [18]

MIGS IDPropertyTermEvidence codea
ClassificationDomain Bacteria TAS [31]
Phylum Firmicutes TAS [32]
Class Clostridia TAS [33]
Order Clostridiales TAS [34]
Family Clostridiales Family XII TAS [33]
Genus Fusibacter TAS [12]
Specie Fusibacter sp. 3D3 IDA
Strain: 3D3 (Accession # FR873490.1)
Gram stainPositiveIDA
Cell shapePoint end rodIDA
MotilityMotileIDA
SporulationSpore formingNAS
Temperature range20 -35 °CIDA
Optimum temperature30 °CIDA
pH range; optimum5–9; 7IDA
Carbon sourceLactate, Tryptone, GlucoseIDA
MIGS-6HabitatSalt-flat sedimentIDA
MIGS-6.3Salinity1% (w/v) NaClIDA
MIGS-22Oxygen requirementAnaerobeIDA
MIGS-15Biotic relationshipFree-livingIDA
MIGS-14PathogenicityNon-pathogenNAS
MIGS-4Geographic locationAscotán salt flat, Antofagasta region, ChileIDA
MIGS-5Sample collection21-Sep-2010IDA
MIGS-4.1Latitude21°36′06.2″ SIDA
MIGS-4.2Longitude68°18′28.3″ WIDA
MIGS-4.4Altitude3748 m.a.s.l.IDA

aEvidence 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 [35]

Table 3

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityDraft
MIGS-28Libraries usedNextera Illumina
MIGS 29Sequencing platformsMiSeq Illumina
MIGS 31.2Fold coverage50×
MIGS 30AssemblersNewbler v2.0.01.14.
MIGS 32Gene calling methodGlimmer
Locus TagF3D3
Genbank IDBDHH00000000
GenBank Date of Release2016-09-05
GOLD IDGP0193989
BIOPROJECTPRJDB4973
MIGS 13Source Material Identifier3D3
Project relevanceArsenic biogeochemical cycle, Territorial biodiversity, Bionanotechnology, Bioremediation, Biogeochemistry
Classification and general features of Fusibacter sp. strain 3D3 [18] aEvidence 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 [35] Project information

Growth conditions and genomic DNA preparation

sp. strain 3D3 was grown anaerobically on fresh Newman [18] modified medium and conditions of incubation described above. DNA was extracted using High Pure Template Preparation Kit (Roche, Germany), according to the manufacturer instructions. Both quantity and quality of the genomic DNA were measured using a NanoDrop ND-1000 spectrophotometer (Thermo-Fisher Scientific Inc.) and analyzed by DGGE (200 C. B. S. Scientific Company), respectively. The purity of strain 3D3 was confirmed by a single band in the DGGE profile.

Genome sequencing and assembly

The genome of sp. 3D3 was sequenced on an Illumina MiSeq platform at Molecular Research Laboratory (MR. DNA, Shallowater, TX). The library for each sample was prepared using a Nextera DNA Sample Preparation Kit (Illumina), following the manufacturer’s instructions. Sequencing of 2 × 300-bp paired-end reads allowed for an estimate of 20,000 output with an average coverage over 50 times fold. The assemblage of quality-filtered reads was executed by MR-DNA for the complete genome sequence. As a result, the draft genome of ~5.1 Mbp size was generated. Reads were assembled de novo using Newbler v2.0.01.14. The final draft assembly contained 57 contigs identifying 4780 genes using RAST [19].

Genome annotation

Genes were predicted using Glimmer 3.02 [20] as part of the RAST annotation pipeline using SEED platform for 4780 features identified. Whole RNA genes were also predicted by the same annotation platform [21]. The predicted protein coding genes were analyzed for the presence of signal peptides using SignalP 4.1 Server [22]. TMHMM Server v. 2.0 was utilized for prediction of transmembrane helices in proteins [23]. Geneious 7.1.9 (Biomatters) software was used to analyze COGs utilizing the BLAST COG database (Table 4). Pfam domains were computed using InterProScan 5.19-58.0 [24]. CRISPRs repeats were found submitting the contigs to the CRISPRs Finder web server [25].
Table 4

Number of genes associated with general COG functional categories

CodeValue% ageDescription
J2114.5Translation, ribosomal structure and biogenesis
A00.0RNA processing and modification
K3948.4Transcription
L3216.8Replication, recombination and repair
B20.0Chromatin structure and dynamics
D531.1Cell cycle control, Cell division, chromosome partitioning
V1252.7Defense mechanisms
T2806.0Signal transduction mechanisms
M1753.7Cell wall/membrane biogenesis
N1362.9Cell motility
U360.8Intracellular trafficking and secretion
O1292.7Posttranslational modification, protein turnover, chaperones
C2625.6Energy production and conversion
G2866.1Carbohydrate transport and metabolism
E4219.0Amino acid transport and metabolism
F851.8Nucleotide transport and metabolism
H1362.9Coenzyme transport and metabolism
I1022.2Lipid transport and metabolism
P1864.0Inorganic ion transport and metabolism
Q681.4Secondary metabolites biosynthesis, transport and catabolism
R4629.8General function prediction only
S3317.0Function unknown
-49910.6Not in COGs

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

Number of genes associated with general COG functional categories The total is based on the total number of protein coding genes in the genome

Genome properties

The draft genome for sp. 3D3 contained 5,111,250 nucleotides with an average G + C content of 37.6% (Table 5). From 4780 genes, 4700 were predicted protein coding, and 80 RNA coding genes (12 rRNA, and 62 tRNA genes). The putative function was assigned to 63.1% of the genes, while the remaining genes were annotated as hypothetical proteins. The distribution of genes in COGs functional categories is presented in Table 4.
Table 5

Genome statistics

AttributeValue% of Total
Genome size (bp)a 5,111,250100.0
DNA coding (bp)4,450,43187.1
DNA G + C (bp)1,921,82537.6
DNA scaffolds57100.0
Total genes4780100,0
Protein coding genes470098,3
RNA genesb 801.7
Pseudo genesn.dn.d
Genes in internal clustersc n.dn.d
Genes with function prediction315667.1
Genes assigned to COGs420189.3
Genes with Pfam domains371177.4
Genes with signal peptides2545.3
Genes with transmembrane helices121925.8
CRISPR repeatsd 100.2

aThe total is based on either the size of the genome in base pairs or the total number of genes in the annotated genome

bIncludes tRNA, mRNA, rRNA

c n.d. Not determined

dIncluding confirmed and questionable

Genome statistics aThe total is based on either the size of the genome in base pairs or the total number of genes in the annotated genome bIncludes tRNA, mRNA, rRNA c n.d. Not determined dIncluding confirmed and questionable

Insights from the genome sequence

Similarity analysis of genes involved in the arsenic metabolism indicated that the closest available genome of strain 3D3 in the database was [26], which belongs to the family as well. The subsystem information approach to genome annotation performed by RAST/SEED [27] confirmed the relation to other members in the order (Table 6). Arsenic detoxification genes are clearly present in sp. 3D3 genome, however, genes coding for arsenate respiratory reductases (arr) and arsenite oxidases (aio) have a very low percentage of similarity with genes coding for the enzymes evidenced at protein level. The arsC gene sequence identified in the sp. genome was clustered inside the -like arsC gene clade whose predominance has been reported in Salar de Ascotán [11].
Table 6

BLAST results of predicted and best-scored proteins related to arsenic in the Fusibacter sp. strain 3D3 genome

SubsystemGeneFunctional roleContig/ CDSClosest Protein Homologya
Specie%E-valueUniProt
Anaerobic reductases aprB Adenylylsulfate reductase beta-subunit2/3276 Roseburia sp. CAG:100653 × 10-22 R7R6L1
Arsenic related genes arsA Arsenical pump-driving ATPase (EC 3.6.3.16)39/1529 Clostridium sp. strain BNL1100831 × 10-59 H2J8R6
arsC Arsenate reductase (EC 1.20.4.1)49/1898 Amphibacillus xylanus 712 × 10-51 K0J2A1
arsR Arsenical resistance operon repressor49/1984 Desulfitobacterium hafniense 683 × 10-49 Q24NC4
arrA Respiratory arsenate reductase, Mo binding subunit31/1301 Shewanella sp. strain ANA-3291.4Q7WTU0
arrB Respiratory arsenate reductase, FeS subunit52/2102 Shewanella sp. strain ANA-3422 × 10-5 Q7WTT9
aCR3 Arsenical-resistance protein49/1897 Clostridium sticklandii 860E3PWS9
arsD Arsenical resistance operon trans-acting repressor14/298 Clostridium botulinum 270,39A5HZU7
arsR Arsenical resistance operon repressor39/1526 Dehalobacter sp. strain DCA522 × 10 -43 K4LCR7
arsR2 Transcriptional regulator, ArsR family72/3456 Methylobacterium extorquens 291 × 10-4 C5B3N6
aoxS Periplasmic sensor signal transduction his-kinase79/3664 Alkaliphilus oremlandii strain OhILAs460A8MKM5
aoxR Transcriptional regulator79/3663 Alkaliphilus oremlandii 585 × 10-178 A8MKM4
arsM S-adenosylmethionine-dependent methyltransferas65/3260 Paenibacillus polymyxa strain M1615 × 10-85 E3E8M9
arxB 4Fe-4S binding domain-containing protein17/387 Ectothiorhodospira sp. strain PHS-1290.002H1G3R8
arxA Anaerobic arsenite oxidase17/353 Ectothiorhodospira sp. strain PHS-1330.92H1G3R7
arxC Polysulfide reductase, NrfD49/1666 Sulfuricella denitrificans strain skB26311.6S6AE44
Electron Transport cymA Cytochrome c-type protein24/1193 Shewanella putrefaciens 310.25P95832
rnfA Electron transport complex protein RnfA52/2101 Eubacterium acidaminophilum 775 × 10-95 W8TJP4
rnfB Electron transport complex protein RnfB52/2102 Alkaliphilus metalliredigens 634 × 10-160 A6TQH4
rnfC Electron transport complex protein RnfC52/2097 Clostridium sticklandii 640E3PRL8
rnfD Electron transport complex protein RnfD52/2098 Eubacterium acidaminophilum 645 × 10-135 W8T3U4
rnfE Electron transport complex protein RnfE52/2100 Clostridium bartlettii CAG:1329705 × 10-92 R5Y4N2
rnfG Electron transport complex protein RnfG52/2099 Clostridium sordellii VPI 9048431 × 10-44 T0CLK2
Oxidoreductase trx Thioredoxin reductase/ FAD/NAD-binding6/2715 Youngiibacter fragilis 760V7I8R3
ahpC Thioredoxin64/3082 Clostridium sticklandii strain ATCC 12662878 × 10-109 E3PTE6

aPercentage (%) of identity by alignment overview UNIPROTKB is indicated

Subsystem information was obtained by RAST/SEED viewer v2.0

BLAST results of predicted and best-scored proteins related to arsenic in the Fusibacter sp. strain 3D3 genome aPercentage (%) of identity by alignment overview UNIPROTKB is indicated Subsystem information was obtained by RAST/SEED viewer v2.0 In the vicinity of the ArsC coding gene is the gen F3D3_RS05420. This piqued our interest and, in a deeper analysis, we found that F3D3_RS05420 codify for pyridine nucleotide-disulfide oxidoreductase NADH dehydrogenase (accession number: WP_069871897). The preliminary information indicates that the protein encoded by the gen F3D3_RS05420 is part of a new family of proteins of unknown function. However, the genomic context shows us some clues to formulate a hypothesis. By means of comparative genomics we identify two common components accompanying genes like F3D3_RS05420: A) genes codifying for transcription regulators and, B) genes codifying for arsenical transporters (Fig. 3c). This could be an indicative of a possible role in the response to stress by As. The multiple sequence alignment carried out using MUSCLE application [28] in CLC Genome Workbench 8.0 (Qiagen) shows that the protein is distributed in the bacteria and it is strongly conserved (Additional file 1: Figure S1).
Fig. 3

Summary of subsystems identified by RAST/SEED. a Subsystem coverage. 41% of the whole CDS were identified in subsystems. b Subsystem category distribution of all non-hypothetical CDS. No photosynthesis and secondary metabolites CDS were assigned. c Assigned CDS for arsenic metabolism in the Fusibacter sp. strain 3D3 genome comparing to closely related species. Diagram of the chromosomal region (Contig 49) of the arsenic-related genes compared with five microorganisms. 1. Arsenical resistance operon repressor ArsR, 2. Pyridine nucleotide-disulfide oxidoreductase NADH dehydrogenase (EC 1.6.99.3), 3. Arsenical resistance protein ACR3, 4. Arsenate reductase ArsC (EC 1.20.4.1), 5. arsenical efflux pump membrane protein ArsB, 6. Arsenical resistance operon trans-acting repressor ArsD, 7. Arsenical pump-driving ATPase ArsA (EC 3.6.3.16)

Summary of subsystems identified by RAST/SEED. a Subsystem coverage. 41% of the whole CDS were identified in subsystems. b Subsystem category distribution of all non-hypothetical CDS. No photosynthesis and secondary metabolites CDS were assigned. c Assigned CDS for arsenic metabolism in the Fusibacter sp. strain 3D3 genome comparing to closely related species. Diagram of the chromosomal region (Contig 49) of the arsenic-related genes compared with five microorganisms. 1. Arsenical resistance operon repressor ArsR, 2. Pyridine nucleotide-disulfide oxidoreductase NADH dehydrogenase (EC 1.6.99.3), 3. Arsenical resistance protein ACR3, 4. Arsenate reductase ArsC (EC 1.20.4.1), 5. arsenical efflux pump membrane protein ArsB, 6. Arsenical resistance operon trans-acting repressor ArsD, 7. Arsenical pump-driving ATPase ArsA (EC 3.6.3.16) The protein architecture of WP_069871897 shows a CoA-disulfide reductase domain (TIGR03385) and a rhodanese domain (PFAM00581). A rhodanese domain is also present in the ACR2 protein of which also has arsenate reductase activity [29]. The catalytic loop of the rhodanese domain has two known configurations, a short version with four residues to accommodate sulfur or selenium atoms and an extended version with five residues to accommodate an arsenic or phosphorus atoms [30]. The architecture of WP_069871897 and related proteins suggest a role similar to ACR2, namely arsenic reductase. However, the comparison between the catalytic loops of ACR2 (Q06597) “CTGSKNRG” with the “CNKGVTGN” of WP_069871897 does not show an apparent similitude, which makes it difficult to extrapolate the activity of ACR2 with WP_069871897. In addition, the presence of the arsC gene in the compared genomes (Fig. 3c), but not in the same genomic context, suggests that the WP_069871897 and related proteins does not substitute the ArsC activity. Then, it remains a challenge to the scientific community to answer if the proteins similar to WP_069871897 are a new kind of arsenic reductase or if they are in some way involved with the response to arsenic stress.

Conclusions

The 5.11 Mbp draft genome sequence of sp. 3D3 is arranged in 57 contigs, being the first draft genome published. It potentially includes 4700 protein-coding genes, 67.1% of which were assigned to function prediction. 80 RNA genes partitioned in 12 rRNA and 62 tRNAs were identified. The release of the genome sequence of this strain will provide new insights into arsenic reduction processes in hypersaline biomes and further understanding of the mechanisms used by halophile bacteria to endure high osmotic stress in natural and industrial saline environments.
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Journal:  FEMS Microbiol Lett       Date:  1998-11-01       Impact factor: 2.742

7.  InterProScan 5: genome-scale protein function classification.

Authors:  Philip Jones; David Binns; Hsin-Yu Chang; Matthew Fraser; Weizhong Li; Craig McAnulla; Hamish McWilliam; John Maslen; Alex Mitchell; Gift Nuka; Sebastien Pesseat; Antony F Quinn; Amaia Sangrador-Vegas; Maxim Scheremetjew; Siew-Yit Yong; Rodrigo Lopez; Sarah Hunter
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

8.  Draft Genome Sequence of Nitrincola sp. Strain A-D6, an Arsenic-Resistant Gammaproteobacterium Isolated from a Salt Flat.

Authors:  Natalia Valdés; Javier Rivera-Araya; Jonathan Bijman; Lorena Escudero; Cecilia Demergasso; Sebastián Fernández; Alonso Ferrer; Renato Chávez; Gloria Levicán
Journal:  Genome Announc       Date:  2014-11-20

9.  MUSCLE: a multiple sequence alignment method with reduced time and space complexity.

Authors:  Robert C Edgar
Journal:  BMC Bioinformatics       Date:  2004-08-19       Impact factor: 3.169

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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1.  Pressure and temperature effects on deep-sea hydrocarbon-degrading microbial communities in subarctic sediments.

Authors:  Luis J Perez Calderon; Evangelia Gontikaki; Lloyd D Potts; Sophie Shaw; Alejandro Gallego; James A Anderson; Ursula Witte
Journal:  Microbiologyopen       Date:  2018-11-16       Impact factor: 3.139

2.  The genome of Alcaligenes aquatilis strain BU33N: Insights into hydrocarbon degradation capacity.

Authors:  Mouna Mahjoubi; Habibu Aliyu; Simone Cappello; Mohamed Naifer; Yasmine Souissi; Don A Cowan; Ameur Cherif
Journal:  PLoS One       Date:  2019-09-24       Impact factor: 3.240

3.  Genomic insights into diverse bacterial taxa that degrade extracellular DNA in marine sediments.

Authors:  Kenneth Wasmund; Claus Pelikan; Arno Schintlmeister; Michael Wagner; Margarete Watzka; Andreas Richter; Srijak Bhatnagar; Amy Noel; Casey R J Hubert; Thomas Rattei; Thilo Hofmann; Bela Hausmann; Craig W Herbold; Alexander Loy
Journal:  Nat Microbiol       Date:  2021-06-14       Impact factor: 17.745

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