Literature DB >> 26767090

Permanent draft genome sequence of Desulfurococcus mobilis type strain DSM 2161, a thermoacidophilic sulfur-reducing crenarchaeon isolated from acidic hot springs of Hveravellir, Iceland.

Dwi Susanti1, Eric F Johnson2, Alla Lapidus3, James Han4, T B K Reddy4, Manoj Pilay5, Natalia N Ivanova4, Victor M Markowitz5, Tanja Woyke4, Nikos C Kyrpides6, Biswarup Mukhopadhyay7.   

Abstract

This report presents the permanent draft genome sequence of Desulfurococcus mobilis type strain DSM 2161, an obligate anaerobic hyperthermophilic crenarchaeon that was isolated from acidic hot springs in Hveravellir, Iceland. D. mobilis utilizes peptides as carbon and energy sources and reduces elemental sulfur to H2S. A metabolic construction derived from the draft genome identified putative pathways for peptide degradation and sulfur respiration in this archaeon. Existence of several hydrogenase genes in the genome supported previous findings that H2 is produced during the growth of D. mobilis in the absence of sulfur. Interestingly, genes encoding glucose transport and utilization systems also exist in the D. mobilis genome though this archaeon does not utilize carbohydrate for growth. The draft genome of D. mobilis provides an additional mean for comparative genomic analysis of desulfurococci. In addition, our analysis on the Average Nucleotide Identity between D. mobilis and Desulfurococcus mucosus suggested that these two desulfurococci are two different strains of the same species.

Entities:  

Keywords:  Acidic hot spring; Desulfurococcus; Sulfur-reducing crenarchaeon; Thermophile

Year:  2016        PMID: 26767090      PMCID: PMC4711178          DOI: 10.1186/s40793-015-0128-4

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


Introduction

type strain DSM 2161 was isolated from acidic hot springs in Hveravellir, Iceland [1]. This hyperthermophilic crenarchaeaon utilizes casein and peptides present in yeast extract, and tryptic digest of casein as energy and carbon source [1]. In the presence of sulfur as electron acceptor, undergoes sulfur respiration generating H2S and CO2, whereas in the absence of sulfur it performs peptide oxidation coupled to hydrogen production for regeneration of electron carriers [1, 2]. Growth in the presence of sulfur yields five times more cell density compared to that without sulfur [1]. Among known desulfurococci, is a closer relative of which is also a peptide degrader [1, 3]. genome was sequenced in 2011 under the Genomic Encyclopedia of Bacteria and Archaea program [3]. In addition to and , three desulfurococci are known, and these are [4, 5], [6], and [7]. All of these organisms degrade peptides. As far as other substrates for growth, starch is used only by and whereas sugars can be used by and . The only cellulose degrading is [4, 5]. The and genomes have been sequenced by the US Department of Energy Joint Genome Institute and the Russian Academy of Sciences Centre “Bioengineering”, respectively [5, 7]. Almost all organisms that belong to the genus are dependent on or stimulated by sulfur [1–3, 7]. Sulfur is used as a terminal electron acceptor. The only exception is [4, 5] as elemental sulfur does not influence the growth of this organism and it is also the only species for which the growth is not inhibited by the presence of hydrogen. The draft genome sequence of together with the complete genome sequence of , and could give insight into the finer differences between peptide, starch and cellulose metabolism systems of these closely related desulfurococci leading to the discoveries of new thermophilic enzymes and pathways. Similar inquiries could be made for their differences in elemental sulfur requirements as well as their responses to the presence of H2 in their environment.

Organism Information

Classification and features

belongs to the phylum and class of . Within this class, three orders namely , and have been recognized. A phylogenetic tree based on 16S-ribosomal DNA sequences (Fig. 1) shows the position of relative to its neighbours. is closely related to . The value of ANI between and is 99.88. Such a high ANI value suggested that these organisms should be considered as two strains of the same species.
Fig. 1

A 16S ribosomal DNA sequence-based phylogenetic tree showing the position of Desulfurococcus mobilis DSM 2161 (shown in bold) relative to other Desulfurococcus species and other organisms from Sulfolobales and Thermoproteales orders. Alignment and trimming of genes encoding 16S rRNA (aligned size of 1112 bp) were performed by the use of Muscle 3.8.31 [33] and Gblocks 0.91, respectively. The tree was constructed using Maximum Likelihood method, dnaml, in the Phylip-3.696 package [34] and viewed by the use of FigTree (http://tree.bio.ed.ac.uk/), as previously described [35]. Type strains are indicated with the superscript T. NCBI accession numbers for genome sequence are presented within parenthesis. Methanocaldococcus jannaschii, a euryarchaeon (not shown), was used as an outgroup [36]. Number in each branch shows a percentage of bootstrap value from 100 replicates. The bar indicates 0.02 substitutions per nucleotide position

A 16S ribosomal DNA sequence-based phylogenetic tree showing the position of Desulfurococcus mobilis DSM 2161 (shown in bold) relative to other Desulfurococcus species and other organisms from Sulfolobales and Thermoproteales orders. Alignment and trimming of genes encoding 16S rRNA (aligned size of 1112 bp) were performed by the use of Muscle 3.8.31 [33] and Gblocks 0.91, respectively. The tree was constructed using Maximum Likelihood method, dnaml, in the Phylip-3.696 package [34] and viewed by the use of FigTree (http://tree.bio.ed.ac.uk/), as previously described [35]. Type strains are indicated with the superscript T. NCBI accession numbers for genome sequence are presented within parenthesis. Methanocaldococcus jannaschii, a euryarchaeon (not shown), was used as an outgroup [36]. Number in each branch shows a percentage of bootstrap value from 100 replicates. The bar indicates 0.02 substitutions per nucleotide position is a Gram-negative spherical coccus, with diameter about 0.1-1 μm [1]. Unlike , is motile [1]. The latter possesses monopolar polytrichus flagella that form bundle of 12.5 nm diameter (Fig. 2). Classification and general features of are shown in Table 1.
Fig. 2

An electron micrograph of Desulfurococcus mobilis type strain DSM 2161 showing unipolar polytrichus archaella. The picture has been reproduced from [1] with permission

Table 1

Classification and general features of Desulfurococcus mobilis DSM 2161T [37]

MIGS IDPropertyTermEvidence codea
ClassificationDomain Archaea TAS [38]
Phylum Crenarchaeota TAS [38]
Class Thermoprotei TAS [39]
Order Desulfurococcales TAS [40]
Family Desulfurococcaceae TAS [1]
Genus Desulfurococcus TAS [1]
Species Desulfurococcus mobilis TAS [1]
Type strain DSM 2161/ATCC 35582TAS [1]
Gram stainNegativeTAS [1]
Cell shapeCoccusTAS [1]
MotilityMotileTAS [1]
SporulationNot reported
Temperature range55-97 °CTAS [1]
Optimum temperature85 °CTAS [1]
pH range; Optimum2.2-6.5; 5.5-6.0TAS [1]
Carbon sourceYeast extract, bactotryptone, a tryptic-digest of casein or caseinTAS [1]
Energy sourceChemoorganotrophTAS [1]
Terminal electron receptorElemental sulfur (favored)TAS [1]
MIGS-6HabitatFree livingTAS [1]
MIGS-6.3SalinityNot reported
MIGS-22Oxygen requirementAnaerobicTAS [1]
MIGS-15Biotic relationshipNot reported
MIGS-14PathogenicityNon-pathogenNAS
MIGS-4Geographic locationIcelandTAS [1]
MIGS-5Sample collection time1981TAS [1]
MIGS-4.1LatitudeNot reported
MIGS-4.2LongitudeNot reported
MIGS-4.3DepthNot reported
MIGS-4.4AltitudeNot reported

aEvidence 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 [41]

An electron micrograph of Desulfurococcus mobilis type strain DSM 2161 showing unipolar polytrichus archaella. The picture has been reproduced from [1] with permission Classification and general features of Desulfurococcus mobilis DSM 2161T [37] aEvidence 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 [41]

Genome Sequencing Information

Genome project history

was selected for sequencing by the Joint Genome Institute Community Sequencing Program in 2009 as part of a genome comparison project for the genus . Project information is available in the Genomes OnLine Database (Table 2) [8]. DRAFT sequencing, initial gap closure and annotation were performed by the DOE Joint Genome Institute using state-of-the-art sequencing technology [9]. The draft genome was partly assembled and annotated in 2012 and was deposited in the Integrated Microbial Genome Data Management System [10] in 2012.
Table 2

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityHigh quality draft
MIGS 28Libraries usedIllumina standard
MIGS 29Sequencing platformsIllumina
MIGS 31.2Fold coverage528 ×
MIGS 30AssemblersVelvet (version 1.1.04), ALLPATHS v. r40295
MIGS 32Gene calling methodProdigal
Locus tagYWQ
Genome Database IDIMG: 2513237118
Genbank IDAUQX00000000
Genbank Date of ReleaseMay 11, 2015
GOLD IDGp0003960
BioprojectPRJNA163045
MIGS 13Source Material IdentifierDSM 2161/ ATCC 35582
Project relevanceBiotechnological
Project information

Growth conditions and genomic DNA preparation

type strain DSM 2161 (ATCC 35582) was obtained from the ATCC microbiology culture collections (ATCC, Manassas, VA) and was cultivated on ATCC medium (medium 1558) containing Tryptone and yeast extract as the carbon and energy sources, each at final concentration of 2 g/l. Elemental sulfur and Na2S, at concentration of 5 g/l and 0.5 g/l, respectively, were added as electron acceptors and medium reductant. Chromosomal DNA was isolated using a method as described previously [11]. Briefly, cell pellet of was resuspended in TE buffer (10 mM Tris–HCl, 1 mM EDTA, pH 8.0). Proteinase K, EDTA and Sodium dodecyl sulfate (SDS) were added to the suspension at the final concentrations of 100 μg/ml, 5 mM, and 0.5 %, respectively. The mixture was then incubated at 55 °C for one hour. An equal volume of a mixture containing phenol, chloroform, and isoamylalcohol (25:24:1, v/v/v) was added to the cell lysate and the resulting emulsion was centrifuged at 10,000 xg for 30 min. To the recovered aqueous layer containing DNA, an equal volume of a mixture of chloroform, and isoamylalcohol (24:1, v/v) was added and then the combination was centrifuged at 10,000 × g for 30 min. To the aqueous solution recovered from this step, sodium acetate-acetic acid buffer, pH 5.3 at a final concentration of 15 mM and an equal volume of isopropanol were added to precipitate chromosomal DNA. DNA was pelleted by centrifugation at 15,000 × g for 30 min and then washed with ice-cold 70 % ethanol for three times, air dried and suspended in TE buffer.

Genome sequencing and assembly

The draft genome of type strain DSM 2161 was generated at the DOE Joint genome Institute using the Illumina technology [12]. An Illumina standard shotgun library was constructed and sequenced using the Illumina platform which generated 17,620,486 reads of 150 bp. All general aspects of library construction and sequencing performed at the JGI can be found at JGI website. All raw Illumina sequence data was passed through DUK, a filtering program developed at JGI (Mingkun, L., Copeland, A. and Han, J., unpublished program), which removes known Illumina sequencing and library preparation artifacts. Following steps were then performed for assembly: (1) filtered Illumina reads were assembled using Velvet [13], (2) 1–3 kb simulated paired end reads were created from Velvet contigs using wgsim [14], (3) Illumina reads were assembled with simulated read pairs using Allpaths–LG [15, 16]. Parameters for assembly steps were: 1) Velvet (velveth: 63 –shortPaired and velvetg: −very clean yes –exportFiltered yes –min contig lgth 500 –scaffolding no –cov cutoff 10) 2) wgsim (−e 0 –1 100 –2 100 –r 0 –R 0 –X 0) 3) Allpaths–LG (PrepareAllpathsInputs: PHRED 64 = 1 PLOIDY = 1 FRAG COVERAGE = 125 JUMP COVERAGE = 25 LONG JUMP COV = 50, RunAllpathsLG: THREADS = 8 RUN = std shredpairs TARGETS = standard VAPI WARN ONLY = True OVERWRITE = True). The final draft assembly contained 58 contigs.

Genome annotation

Genes were identified using Prodigal [17] as part of the JGI’s microbial genome annotation pipeline [17]. The predicted coding sequences were translated and used to search the National Center for Biotechnology Information nonredundant database, UniProt, TIGR-Fam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Identification of RNA genes were carried out by using HMMER 3.0rc1 [18] (rRNAs) and tRNAscan-SE 1.23 (tRNAs) [19]. Other non-coding genes were predicted using INFERNAL 1.0.2 [20]. Additional annotation was performed within the Integrated Microbial Genomes - Expert Review platform [21]. CRISPR elements were detected using CRT [22] and PILER-CR [23].

Genome Properties

The draft genome of consists of a 1,198,142 bp chromosome with 52.89 % GC content. It contains 1,277 protein coding genes, and 54 ribosomal RNA genes that encode 1, 2, 41, and 10 of 16S-, 23S-ribosomal RNA, tRNA and other RNAs, respectively. Tables 3 and 4 present genome statistics, and distribution of genes into COG categories, respectively.
Table 3

Genome statistics

AttributeValue% of total
Genome size (bp)1,198,142100.00
DNA coding (bp)1,084,05390.48
DNA G + C (bp)633,65252.89
DNA scaffolds58100.00
Total genes1,331100.00
Protein-coding genes1,27795.94
RNA genes544.06
Pseudo genesNANA
Genes in internal clusters896.69
Genes with function prediction97072.88
Genes assigned to COGs84363.34
Genes with Pfam domains94871.22
Genes with signal peptides100.75
Genes with transmembrane helices21816.38
CRISPR repeats5-
Table 4

Number of genes associated with general COG functional categories

CodeValue%ageDescription
J17613.78Translation, ribosomal structure and biogenesis
A10.08RNA processing and modification
K413.13Transcription
L403.6Replication, recombination and repair
B10.08Chromatin structure and dynamics
D70.47Cell cycle control, cell division, and chromosome partitioning
V180.55Defense mechanisms
T160.78Signal transduction mechanisms
M301.96Cell wall/membrane biogenesis
N40.31Cell motility
U90.78Intracellular trafficking and secretion
O433.21Posttranslational modification, protein turnover, chaperones
C766.03Energy production and conversion
G443.13Carbohydrate transport and metabolism
E624.86Amino acid transport and metabolism
F402.74Nucleotide transport and metabolism
H593.29Coenzyme transport and metabolism
I170.86Lipid transport and metabolism
P665.32Inorganic ion transport and metabolism
Q20.23Secondary metabolites biosynthesis, transport and catabolism
R10210.73General function prediction only
S476.81Function unknown
-48838.21Not in COGs

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

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

Insights from the Genome Sequence

A metabolic construction derived from the draft genome indicates that a -type peptide degradation pathway operates in [24]. Peptides likely enter the cell via peptide/amino acid transporters that are encoded by YWQDRAFT_00113, 00114, 00115, and 00118. Once inside the cell, peptides are catabolized into amino acids by peptidases. A total of 10 peptidases were identified in the draft genome of . An example is YWQDRAFT_00964 that is a homolog of pyroglutamyl peptidase of (Desfe_1254) with e-value of 2e-63. The resulting amino acids are then converted into their respective keto-acids in reactions catalyzed by transaminases (YWQDRAFT0500, 00632, 00843, 00124). These keto-acids are catabolized further into acyl-CoA by several putative keto-acid:ferredoxin oxidoreductase such as indole pyruvate ferredoxin oxidoreductase (YWQDRAFT_00457 and 00458), aldehyde ferredoxin oxidoreductase (YWQDRAFT_00049 and 00586), and pyruvate ferredoxin oxidoreductase (YWQDRAFT_00252, 00251, 00253, 00254). Then ATP generation occurs via the acetyl-CoA synthetase reaction (YWQDRAFT_00758). In the presence of sulfur, electrons generated from peptide oxidation are transferred into sulfur via a sulfur reductase (YWQDRAFT_00031), a cytoplasmic protein with high similarity to NADPH-dependent polysulfide reductase of (ORF Dkam_0441) [7] and sulfide dehydrogenase of that is composed of two subunits, A and B (ORF PF1327-28) [25]. This process generates H2S and a proton motive force and the latter helps to synthesize ATP via ATPase (YWQDRAFT_00542). Genome analysis also reveals genes encoding putative Ni-Fe hydrogenases that were found in three hydrogenase clusters (YWQDRAFT_01235-01241; 01256–64, 01282–01285; and 00877–00866). This finding explains previous observation that during growth in the absence of elemental sulfur produces hydrogen to dispose off electrons originating from peptide degradations [1, 2]. Similarly, enzymes for converting acetyl-CoA to glucose-6-phosphate via gluconeogenesis pathways and for glycogen synthesis were found. Key enzymes for gluconeogenesis were phosphoenolpyruvate synthase (YWQDRAFT_00160) and 1,6-fructosebisphosphatase (YWQDRAFT_00288). The ORF for a characteristic enzyme for glycogen synthesis, glycogen synthase (YWQDRAFT_00470), was also found. Although does not use sugars as carbon source [1], genes for two sugar transporters (YWQDRAFT_00575-76) were found in the genome. Similarly, key enzymes of the modified Emden-Meyerhof pathway [26], namely glyceraldehyde-3-phosphate ferredoxin oxidoreductase/GAPOR (YWQDRAFT_00049 and 00586) that converts glyceraldehyde-3-phosphate into 3-phosphoglycerate and pyruvate kinase (YWQDRAFT_00285) that dephosphorylates phosphoenolpyruvate to form pyruvate were detected in the genome. The two GAPOR homologs show 38 % and 21 % identity with the same enzymes of [27], while the pyruvate kinase is similar to that of showing 36 % of identity [28]. In accordance, we hypothesize that utilizes carbohydrates at least as co-substrates. As expected, genome carries flaI (YWQDRAFT_00614) that encodes a type IV secretory pathway/VirB11 component, which would be involved in the biogenesis of archaeal flagellum (archaellum) [29-31]. However, genes encoding known archaeal and bacterial flagellins are absent in the draft genome [32]. Since the genome sequence of is at a draft stage and approximately 100 kb of genome sequence is missing, as estimated from the average size of other desulfurococci, it is possible that the flagella structural genes are located in the missing regions. Therefore, a complete genome sequence of is needed to rule out the possibility of a novel flagella system in this organism.

Conclusions

This study presents the genome sequence and metabolic reconstruction of type strain DSM 2161. The genome revealed three hydrogenase clusters that are likely responsible for electron disposal during growth in the absence of sulfur. The presence of genes encoding sugar transporters and key enzymes of the Embden Meyerhoff pathway raises the possibility of sugar utilization in . The near 100 % value of Average Nucleotide Identity for this archaeon and its close relative indicated that these organisms are very similar and reclassification of these two desulfurococci into two strains is suggested.
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5.  The Genomes OnLine Database (GOLD) v.5: a metadata management system based on a four level (meta)genome project classification.

Authors:  T B K Reddy; Alex D Thomas; Dimitri Stamatis; Jon Bertsch; Michelle Isbandi; Jakob Jansson; Jyothi Mallajosyula; Ioanna Pagani; Elizabeth A Lobos; Nikos C Kyrpides
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6.  Key role for sulfur in peptide metabolism and in regulation of three hydrogenases in the hyperthermophilic archaeon Pyrococcus furiosus.

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Journal:  PLoS One       Date:  2012-09-21       Impact factor: 3.240

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Journal:  BMC Bioinformatics       Date:  2007-06-18       Impact factor: 3.169

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