Literature DB >> 26744606

Complete genome sequence of Methanospirillum hungatei type strain JF1.

Robert P Gunsalus1, Lauren E Cook2, Bryan Crable3, Lars Rohlin2, Erin McDonald2, Housna Mouttaki4, Jessica R Sieber3, Nicole Poweleit2, Hong Zhou2, Alla L Lapidus5, Hajnalka Erzsebet Daligault6, Miriam Land7, Paul Gilna7, Natalia Ivanova8, Nikos Kyrpides9, David E Culley10, Michael J McInerney3.   

Abstract

Methanospirillum hungatei strain JF1 (DSM 864) is a methane-producing archaeon and is the type species of the genus Methanospirillum, which belongs to the family Methanospirillaceae within the order Methanomicrobiales. Its genome was selected for sequencing due to its ability to utilize hydrogen and carbon dioxide and/or formate as a sole source of energy. Ecologically, M. hungatei functions as the hydrogen- and/or formate-using partner with many species of syntrophic bacteria. Its morphology is distinct from other methanogens with the ability to form long chains of cells (up to 100 μm in length), which are enclosed within a sheath-like structure, and terminal cells with polar flagella. The genome of M. hungatei strain JF1 is the first completely sequenced genome of the family Methanospirillaceae, and it has a circular genome of 3,544,738 bp containing 3,239 protein coding and 68 RNA genes. The large genome of M. hungatei JF1 suggests the presence of unrecognized biochemical/physiological properties that likely extend to the other Methanospirillaceae and include the ability to form the unusual sheath-like structure and to successfully interact with syntrophic bacteria.

Entities:  

Keywords:  Anaerobic; Formate; Hydrogen; Methangenic archaea; Methanomicrobiales; Motile; Syntrophic partnerships

Year:  2016        PMID: 26744606      PMCID: PMC4704411          DOI: 10.1186/s40793-015-0124-8

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


Introduction

Strain JF1 (DSM 864 = ATCC 2790D-5) [1] is the type species for and represents the first isolated member of the within the order [2]. The species epithet derives from the Latin and honors Dr. R. E. Hungate, the inventor of methodologies for modern isolation and cultivation of strictly anaerobic bacteria and archaea [3, 4]. strain JF1 was isolated from a secondary anaerobic sewage treatment digestor in Urbana, Illinois, as part of a study of anaerobic aromatic hydrocarbon metabolism [5]. Here, we describe the genome sequence of strain JF1, a hydrogen- and formate-utilizing, methane-producing archaean. The genomic data provide insight towards defining the unique genes needed for anaerobic syntrophy [6], which occurs within a phylogenetically diverse range of bacteria, and for classifying genes identified by environmental DNA sequencing projects.

Organism information

Morphology and physiology

Cells of strain JF1 are narrow, curved rods (i.e., spirillum shaped) that measure ~0.5 μm by ~7 μm in size (Fig. 1, Table 1). The cells are contained within a sheath-like structure that contain one or more cells; the sheath may extend to over 100 μm in length depending on the nutritional conditions [1, 7]. Individual cells stain Gram-negative and are weakly motile by polar tufts of flagella. Cells also possess polyphosphate bodies or granules located at opposing cell ends [8]. Growth and metabolism is strictly anaerobic where hydrogen plus carbon dioxide and/or formate serve as the methanogenic substrate. Acetate is required as the major supply for cell carbon [1, 7]. Cells have no other organic nutritional requirements although addition of Casamino Acids or other plant/animal hydrolysis products speeds growth [1]. Temperature range for growth is 20–40 °C (optimum at 37 °C).
Fig. 1

Electron micrograph of M. hungatei strain JF1 cells and associated sheath structure. Scale bar corresponds to 100 nm

Table 1

Classification and features of Methanospirillum hungatei strain JF1 according to MIGS recommendations [45] published by the genomic standards consortium [46] and the names for life database [47]

MIGS IDPropertyTermEvidence codea
Current classificationDomain Archaea TAS [48]
Phylum Euryarchaeota TAS [49]
Class Methanomicrobia TAS [50]
Order Methanomicrobiales TAS [51]
Family Methanospirillaceae TAS [2]
Genus Methanospirillum TAS [1]
Species Methanospirillum hungatei TAS [1]
Type strain JF-1TAS [1]
Gram stainNegativeTAS [1]
Cell shapeCurved rods 0.5 μM x 7.4 μMTAS [1]
MotilityMotileTAS [1]
SporulationNon-sporulatingTAS [1]
Temperature range30 °C-40 °CTAS [1]
Optimum temperature37 °CTAS [1]
pH range; Optimum6.5–10; 6.6–7.4TAS [2]
Carbon sourceCarbon dioxide, formate, acetateTAS [1]
Energy sourceHydrogen, formateTAS [1]
Terminal electron receptorCarbon dioxideTAS [1]
MIGS-6HabitatAnaerobic sediments, sewage digestersTAS [1]
MIGS-6.3SalinityFresh to brackish waterTAS [1]
MIGS-22Oxygen requirementStrict anaerobeTAS [1]
MIGS-15Biotic relationshipSyntrophicTAS [1]
MIGS-14PathogenicityNon-pathogenTAS [1]
MIGS-4Geographic locationUSA, Urbana, ILTAS [1]
MIGS-5Sample collection time1972TAS [1]
MIGS-4.1Latitude40.109°NNAS
MIGS-4.2Longitude88.204°WNAS
MIGS-4.4Altitude222 mTAS [1]

These evidence codes are from the Gene Ontology project [52]

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)

aEvidence codes

Electron micrograph of M. hungatei strain JF1 cells and associated sheath structure. Scale bar corresponds to 100 nm Classification and features of Methanospirillum hungatei strain JF1 according to MIGS recommendations [45] published by the genomic standards consortium [46] and the names for life database [47] These evidence codes are from the Gene Ontology project [52] 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) aEvidence codes Biogenic methane production is important in the global carbon cycle and is used to treat sewage and other organic wastes and to produce biofuel from biomass [9, 10]. The degradation of fatty and aromatic acids is often the rate-limiting step in methanogenesis [6]. Fatty and aromatic acid degradation is thermodynamically favorable only when hydrogenotrophic methanogens such as strain JF1 maintain very low levels of hydrogen and/or formate in a process called syntrophy [10, 11]. Members of the genus are often detected in ecosystems where syntrophy is essential [1, 12] and strain JF1 is the model partner in syntrophic cocultures of the propionate degrader [13], the butyrate degrader [14], and the benzoate degraders and [15, 16].

Classification and features

The phylogenetic neighborhood of strain JF1 is shown in Fig. 2 for representative archaeal 16S rRNA sequences belonging to the order . The four described species form a well-defined cluster distinct from the other genera within the order where and form one subgroup and plus form another. All strains of the genus synthesize methane from hydrogen and carbon dioxide, though the ability to use formate is variable. None are able to ferment or respire by using other electron acceptors (i.e., with sulfate, nitrate, or iron). Certain species of other genera within the also use formate, and some are reported to also metabolize short chain alcohols.
Fig. 2

Phylogenetic tree highlighting the position of Methanosprillulm hungatei strain JF1 relative to other type strains within the Methanomicrobiales. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura-Nei model [43]. The tree with the highest log likelihood (−3033.8513) is shown. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 12 nucleotide sequences. Codon positions included were 1st + 2nd + 3rd + Noncoding. All positions containing gaps and missing data were eliminated. There were a total of 789 positions in the final dataset. Evolutionary analyses were conducted in MEGA6 [44]

Phylogenetic tree highlighting the position of Methanosprillulm hungatei strain JF1 relative to other type strains within the Methanomicrobiales. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura-Nei model [43]. The tree with the highest log likelihood (−3033.8513) is shown. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 12 nucleotide sequences. Codon positions included were 1st + 2nd + 3rd + Noncoding. All positions containing gaps and missing data were eliminated. There were a total of 789 positions in the final dataset. Evolutionary analyses were conducted in MEGA6 [44] The analysis of the four 16S rRNA genes present in the JF1 genome reveled nearly identical nucleotide sequences but they differ from one another at two positions (nucleotide positions 937 and 1382) across the 1466 nucleotide length. The previously- published 16S rRNA gene sequences (AY196683 and AB517987) used in phylogenetic investigations were incomplete, i.e., 1271 and 1259 nucleotides, respectively [17, 18].

Chemotaxonomic data

The cell envelope of this Gram-negative cell wall type includes a surface layer coat, also known as a surface layer protein, which surrounds the cytoplasmic membrane, and an outermost sheath structure that encapsulates multiple cells, which are arranged in chains up to 0.1 mm in length [1, 8, 19]. Cytoplasmic membrane lipids are composed primarily of biphytanyldiglycerol tetraether glycolipids [20]. strain JF1 lacks b-or c-type hemes, quinones, and methanophenazine (this study). The DNA G + C content was previously reported with 45 mol % [1].

Genome sequencing information

Genome project history

The strain JF1 genome was selected by DOE in 2004 as JGI sequencing project 364479 based on its phylogenetic position, its role in anaerobic decomposition of organic matter, and its ability to grow in co-culture with many syntrophic bacterial species [6]. The genome project is deposited in the Genomes OnLine Database [21] as project Id:Gc00350, and the complete genome sequence is deposited in GenBank. Sequencing, finishing, and annotation of the genome were performed by the DOE Joint Genome Institute [22]. A summary of the project information is shown in Table 2.
Table 2

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityFinished
MIGS-28Libraries used3, 8, 14 kb
MIGS 29Sequencing platformsSanger
MIGS 31.2Fold coverage14.5X
MIGS 30AssemblersPGA
MIGS 32Gene calling methodProdical GenePRIMP
Locus TagMhun_0000
Genbank IDCP000254
GenBank Date of ReleaseMarch 1, 2006
GOLD IDGc00350
BIOPROJECTPRJNA13015
MIGS 13Source Material IdentifierDSM 864 T
Project relevanceCarbon cycle, energy production, bioreactors
Project information

Growth conditions and genomic DNA preparation

strain JF1 was grown in basal medium under anaerobic conditions at 37 ° C as previously described [1]. High molecular weight genomic DNA was isolated from cell pellets (DSM 864 = ATCC 2790D-5) using the CTAB method described at the JGI’s web site [22].

Genome sequencing and assembly

The genome was sequenced at the Joint Genome Institute using a combination of 3 kb, 8 kb, and 40 kb DNA libraries. All general aspects of library construction and sequencing performed are described at the JGI’s web site [22]. The Phred/Phrap/Consed software package [23] was used to assemble all three libraries and to assess quality [24, 25]. Possible miss-assemblies were corrected and gaps between contigs were closed by editing in Consed, custom primer walks, or PCR amplification (Roche Applied Science, Indianapolis, IN). The error rate of completed genome sequence of is less than 1 in 50,000. The sequence of can be accessed using the GenBank accession number CP000254.

Genome annotation

Genes were identified using Prodical [26] as part of the Oak Ridge National Laboratory genome annotations pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [27, 28]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information nonredundant database, and the UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Additional gene prediction analysis and functional annotation was preformed within the Integrated Microbial Genomes-Expert Review platform [29, 30]. Membrane transport protein analysis was done by IMG with additional analysis by TransportDB [31] TCDB [32] databases. Transcription factor analysis and prediction was by assisted by TBD database [33].

Genome properties

The genome statistics are provided in Table 3 and Fig. 3. The genome consists of one circular chromosome of 3,544,738 bp with 3,307 predicted genes of which 3,239 are protein-coding genes. Of these, approximately 61 % (2,018 genes) were assigned to a putative function while the remaining 37 % (1,221 genes) are without assigned functions. The genome is 45.15 G + C and 88.64 % coding. The distribution of genes into COGs functional categories is presented in Table 4. Of note, six CRISPER repeats were identified on the chromosome. The genome has 51 tRNA genes; 43 have identified functions, which cover all amino acids except His. The genes for histidine biosynthesis from pyruvate are present with the exception that a gene for histidinol phosphate phosphatase (HisN) was not detected. Nutritional studies [1, 7] did not detect histidine auxotrophy, suggesting that has undescribed mechanisms for fulfilling the role of HisN and synthesizing His-tRNA.
Table 3

Genome statistics

AttributeValue% of total
Genome size (bp)3,544,738100.00
DNA coding (bp)3,142,07488.94
DNA G + C (bp)1,600,41545.15
DNA scaffolds1100.00
Total genes3,307100.00
Protein coding genes3,23997.94
RNA genes682.06
Pseudo genes992.99
Genes in internal clusters217265.68
Genes with function prediction2,01861.02
Genes assigned to COGs187256.61
Genes with Pfam domains257777.93
Genes with signal peptides1013.05
Genes with transmembrane helices76223.04
CRISPR repeats6
Fig. 3

Graphic circular map of the M. hungatei JF1 chromosome. The concentric circles from outside to inside indicate: genes on the forward strand, genes on the reverse strand, RNA genes (tRNA’s green, .rRNA’s red, other RNA’s black), GC content, and GC skew

Table 4

Number of genes associated with general COG functional categories

CodeValue% ageDescription
J1808.65Translation, ribosomal structure and biogenesis
A0.00RNA processing and modification
K844.03Transcription
L823.94Replication, recombination and repair
B80.38Chromatin structure and dynamics
D160.77Cell cycle control, Cell division, chromosome partitioning
V532.55Defense mechanisms
T1547.4Signal transduction mechanisms
M854.08Cell wall/membrane biogenesis
N542.59Cell motility
U170.82Intracellular trafficking and secretion
O894.27Posttranslational modification, protein turnover, chaperones
C1868.93Energy production and conversion
G592.83Carbohydrate transport and metabolism
E1657.93Amino acid transport and metabolism
F622.98Nucleotide transport and metabolism
H1627.78Coenzyme transport and metabolism
I311.49Lipid transport and metabolism
P1477.06Inorganic ion transport and metabolism
Q160.77Secondary metabolites biosynthesis, transport and catabolism
R21710.42General function prediction only
S1607.68Function unknown
-143543.39Not in COGs

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

Genome statistics Graphic circular map of the M. hungatei JF1 chromosome. The concentric circles from outside to inside indicate: genes on the forward strand, genes on the reverse strand, RNA genes (tRNA’s green, .rRNA’s red, other RNA’s black), GC content, and GC skew Number of genes associated with general COG functional categories The total is based on the total number of protein coding genes in the genome

Insights from the genome sequence

Methanogenesis pathway

The JF1 ORFs were organized into pathways where most pathways considered essential for viability of a typical archaeal cell were detected. The methanogenic pathway from hydrogen and carbon dioxide is highly conserved in methanogens and the genes for all the enzymes in the central methanogenic pathway were identified, including a soluble-type heterodisulfide reductase only (Fig. 4). The genome contains three gene sets for molybdenum (fmd) or tungsten (fwd) type formylmethanofuran (MFR) dehydrogenases (Mhun_1981-84, Mhun_1985-94 and Mhun_210612) that catalyze the ferredoxin-dependent first step of carbon dioxide reduction. There are three genes for methenyl–H4MPT tetrahydromethanopterin (H4MPT) cyclohydrolyase (Mch: Mhun_0022, Mhun_0444, Mhun _2384), which catalyze the third pathway step.
Fig. 4

Overview of central metabolism in M. hungatei strain JF1. The pathway for methane formation from hydrogen and formate is shown in black with key steps shown with gene/enzyme designations. Membrane proteins involved in energy transduction electron transport, and ion/solute translocation are arranged along the cytoplasmic membrane: archaeal ATP synthase, Aha; formate dehydrogenases, Fdh; hydrogenases (Mbh, Ech, Ehr, Eha Frh); formyl-methanofuran dehydrogenase, Fmd, Fwd; methenyl–H4MPT tetrahydromethanopterin cyclohydrolyase, Mch; formylMFR:tetrahydromethanopterin formyl transferase, Ftr; methylene–H4MPT dehydrogenase, Mtd; methylene–H4MPT reductase, Mer; H4MPT S-methyltransferase (Mtr; methyl-CoM reductasem Mcr; and CoM-S-S-CoB heterodisulfide reductase, Hdr

Overview of central metabolism in M. hungatei strain JF1. The pathway for methane formation from hydrogen and formate is shown in black with key steps shown with gene/enzyme designations. Membrane proteins involved in energy transduction electron transport, and ion/solute translocation are arranged along the cytoplasmic membrane: archaeal ATP synthase, Aha; formate dehydrogenases, Fdh; hydrogenases (Mbh, Ech, Ehr, Eha Frh); formyl-methanofuran dehydrogenase, Fmd, Fwd; methenyl–H4MPT tetrahydromethanopterin cyclohydrolyase, Mch; formylMFR:tetrahydromethanopterin formyl transferase, Ftr; methylene–H4MPT dehydrogenase, Mtd; methylene–H4MPT reductase, Mer; H4MPT S-methyltransferase (Mtr; methyl-CoM reductasem Mcr; and CoM-S-S-CoB heterodisulfide reductase, Hdr Single genes encode enzymes for the second, fourth, and fifth pathway steps, formylMFR:tetrahydromethanopterin formyl transferase (Ftr: Mhun_1808), methylene–H4MPT dehydrogenase (Mtd: Mhun_2255) and methylene –H4MPT reductase (Mer: Mhun_2257). The latter two enzymes employ reduced cofactor F420 as substrate. The remaining two enzymes in the pathway are multi-subunit complexes: H4MPT Smethyltransferase (Mtr: Mhun_2168-75), and the type I methyl-CoM reductase (Mcr: Mhun_2144-2148). The CoM-S-S-CoB heterodisulfide reductase (Hdr: Mhun_1834-39) so named for the methanogenic co-enzymes M and B, reduces CoM-S-S-CoB hertodisulfide generated by Mcr. The reaction catalyzed by a soluble-type Hdr is likely an electron bifurcation, which couples the energetically favorable reduction of CoM-S-SCoB by formate and/or H2 with the energetically unfavorable reduction of ferredoxin by formate and/or H2 [34]. The oxidation of hydrogen or formate is needed to generate reduced ferredoxin and cofactor F420 used in several of the above reactions (Fig. 4). The oxidation of hydrogen or formate may be accomplished by one or more of the multiple hydrogenase and formate dehydrogenase enzymes. Five nearly identical gene clusters encode soluble formate dehydrogenase (Fdh) enzymes: Mhun_1813-1814, Mhun_1832-1833, Mhun_2020-2021, Mhun_2022-2023, and Mhun_3237-3238. There are two formate/nitrite-type transporters (Mhun_0075, Mhun_1811). The five hydrogenase gene clusters include echABDDEF (Mhun_1741-1747), ehrABCDLS (Mhun_1817-1822), ehaABCDEFGHIJK (Mhun_2094-2106), frhADGB (Mhun_2329-2332), and mbhABCDEFGHIJKLMN (Mhun_2579-2592). The ech, eha, ehr, and mbh gene clusters encode membrane-associated enzymes that likely reduce Fd. These are believed to employ ion gradients (Na+ or H+) to assist Fd reduction at low hydrogen levels. The remaining hydrogenase gene cluster (frhADGB) encodes a soluble hydrogenase that reduces F420.

Transporters, ion movement, and ATP synthesis

JF1 has 352 genes involved in membrane transport as determined by IMG/ER, which constitute 10.64 % of the genome. These include 34 multi-component ATP-binding cassette or ABC-type transporter genes plus related but unlinked genes (152 genes in total), sixty genes encoding secondary transporters, twelve genes for ion channels, seven genes for P-ATPases, one H+ translocating pyrophosphatase (Mvp, H + PPase; Mhun_2414) gene, and four type II secretion systems. A highly unusual feature of the genome is the presence of three H+ or Na+ -translocating AoA1-type ATP synthetase gene clusters encoded by 27 genes (Aha1, Mhun_1177-1185; Aha2, Mhun_1757-1765, and Aha3, Mhun_1768-1775). The gene order is conserved relative to the corresponding Aha complex in [35]. Although it is unknown whether these systems utilize protons or sodium ions, the ortholog is believed to use sodium ions [35]. Likewise, the membrane-bound H4MPT Smethyltransferase (Mtr) is predicted to be sodium dependent. Three genes encode Na+/H+ antiporters (Mhun_0680, Mhun_0841, Mhun_2803) that might maintain ion balance where the last differs by also possessing a Trk domain.

Cell biosynthesis

The genome of encodes an acetyl-CoA synthase/CO dehydrogenase complex (Cdh; Mhun_0686-0690). The role of Cdh is undefined at this time because must acquire acetate supplied in the medium for growth rather than synthesizing acetylCoA from CO2, which is the usual role of Cdh in hydrogenotrophic methanogens. Uptake of acetate for incorporation into cell material is predicted to occur by the Mhun_0634 aceP gene product [35]. Five acetyl-CoA synthetase genes are present that could activate acetate to acetyl-CoA. Mhun_0352, Mhun_0567, and Mhun_1721 share > 62 % identity at the amino acid level with each other, but only share < 34.2 % amino acid identity with Mhun_0592 and Mhun_2392. has two set of genes that could be used to carboxylate acetyl-CoA to pyruvate (Mhun_2393-2396 and Mhun_0450-0453). Oxaloacetate can be synthesized by carboxylation of pyruvate using pyruvate carboxylase (Mhun_3189-3190) or by conversion of pyruvate to phosphoenol pyruvate by pyruvate dikinase (Mhun_2610 or Mhun_1141) and carboxylation of phosphoenol pyruvate to oxaloacetate by phosphoenol pyruvate carboxylase (Mhun_0174). The genes necessary to convert oxaloacetate to 2-oxoglutarate by the reductive arm of the tricarboxylic acid cycle were detected (malate dehydrogenase, Mhun_1155; fumarate hydratase, Mhun_0089-0090; succinyl-CoA ligase, Mhun_0096-0095; 2-oxoglutarate synthase, Mhun_0091-0094 or Mhun_29922994; and fumarate reductase, Mhun_3052-3053). Complete biosynthetic pathways for the synthesis of all amino acids except histidine from pyruvate, oxaloacetate, and 2-oxoglutarate as the main starting materials were detected. There are few genomic clues regarding the composition of the cell envelope. The genome contains a large number of PDK domain-containing genes (31 genes) as well as TRP domain-containing genes (41 genes). Many of these have transmembrane and/or SP signal elements that would suggest cell envelope associations but it is unknown if any of the proteins are significantly expressed. There are no clear protein candidates for the morphologically defined cell envelope structures containing a surface layer, sheath, and plugs [1, 8].

Stress

There appear to be few cellular adaptations in for stress response. Among those found are defense against oxygen damage: catalase (Mhun_2433), peroxidase (Mhun_2733), manganese/iron superoxide dismutase (Mhun_2974), heavy metal resistance (Mhun_1348, Mhun_3034), drug resistance (Mun_0598, Mhun_1195) and heat shock (Mhun_2436).

Regulation and signal transduction

The genome contains a typical set of archaeal RNA polymerase genes and one BRE recognition factor analogous to eukaryotic transcription initiating factor B (Mhun_2481; Tfb) plus two TATA-box binding proteins or TBP’s that confer promoter recruitment and specificity (Tbp1, Mhun_0568 and Tbp2, Mhun_0593). There are ~65 DNA-binding transcription factors identified that modulate gene expression. These belong to a variety of protein families common to bacteria but include few regulatory proteins typical of eukaryotes (e.g., homeodomain-like, zinc finger, SRF-like, or p53-like proteins). There are numerous bacterial-type two-component regulatory systems including 82 histidine kinase-type sensor transmitters, 41 response regulatory proteins, and 18 receiver-only domain proteins. Of the 82 histidine kinases, 55 are soluble and 27 are membrane-associated. They are generally unlinked genetically and thus do not suggest an interacting partner in sensory transduction.

Motility and taxis

JF1 possesses multiple archaeal-type flagella filaments at the cell ends [1, 8], now termed archaealla that resemble bacterial type IV pili [36, 37]. The genome contains one flhGFHIJ gene cluster (Mhun_0102-0105) encoding a basal body structure. Three FlaB-type pili genes make up the archaella filaments (Mhun_1238, Mhun_3139, Mhun_3140). Although little is known about the chemotactic abilities of , other than movement towards an essential nutrient, acetate [38], there are multiple chemosensory genes present in the genome. These include 3 CheA, 4 CheB, 4 CheC, 1 CheD, 3 CheR, 1 CheY, and 14 CheW, genes plus 27 genes encoding MCP sensory proteins (methyl accepting chemotaxis proteins) that detect unknown attractants and/or repellants. Twelve MCPs are membrane-associated and 15 MCPs are soluble. Multiple genes (~11 paralogs) are also present in the JF1 genome for archaeal-type pili like those seen in ,, and [39]. These archaeal proteins, distinct from the bacterial pili-type proteins, were previously annotated as hypothetical genes (e.g., Mhun_0297). The pili proteins provide adhesion to surfaces and the orthologs in JF1 may function in cell-cell adhesion or in cell-cell communication, although such appendages have not been previously observed in EM micrographs. All but one of the eleven JF1 paralogs are in clusters of 2 to 3 genes each and often with ABCtype transport genes.

Comparison to other archaeal genomes

The 3.54 MB JF1 genome is the largest within the order that have been sequenced thus far including (2.92 MB) and (1.80 MB). The JF1 genome is also among the largest within the Archaea domain: only three species sequenced thus far, belonging to the genus (i.e., , 5.75 MB; , 4.87 MB; and , 3.83 MB), plus one halophile, (4.27 MB), exceed it in size. The large genome of JF1 suggests the presence of unrecognized biochemical/physiological properties that likely extend to the other and include the ability to form the unusual sheath-like structure and to successfully interact with syntrophic bacteria. When ORFs were compared pair-wise to individual microbial genomes [40, 41], best reciprocal BLAST hits revealed closest associations to the taxonomically related archaea: (1395 reciprocal gene hits), (1203), and (1150), and extending to (657) (Additional file 1: Figure S1). Thus, approximately 650 to 1,200 genes are similar and well-conserved across these 17 archaeal species whereby the remaining genes (ca. 1700 genes) represent a novel complement within the genome. Interestingly, seven of the next thirteen closest matches are bacterial species among which are many syntrophic microorganisms that likely grow in close association with . Strikingly, strain MPOB exhibited 634 best reciprocal BLAST hits. In another comparison, the best BLAST hit to any microbial gene product was determined (Additional file 2: Figure S2) and showed 1; 167; 277; and 142 ORFs closest hits in the genomes of ,, and, respectively. Notably three bacterial genomes, ,, and spp. gave 21–19 best BLAST hits each, suggesting the possibility of lateral gene transfer events from these potential syntrophic partners. The occurrence of -related genome sequences raises interesting questions concerning microbial interactions and lateral gene transfer with methanogens present in complex microbial communities [42].

Extended insights

The large genome of JF1 suggests the presence of unrecognized biochemical/physiological properties that likely extend to the other and include the ability to form the unusual sheath-like structure and the ability to successfully interact with syntrophic bacteria. A number of genes may have been acquired by lateral gene transfer from its syntrophic partners or other microorganisms present in complex microbial communities. Also of particular note are multiple genes for archaeal type IV pili that may function in cell-cell adhesion or cell-cell communication and genes for multiple hydrogenases and formate dehydrogenases to metabolize hydrogen and formate generated by its syntrophic partners. The core machinery of to produce methane from hydrogen and carbon dioxide and/or formate is typical of other hydrogenotrophic methanogens, except that has genes for three H+ or Na+-translocationg AOA1-type ATP synthases. has four 16S ribosomal RNA genes that each differ at two positions. Further understanding of the novel compliment of genes will likely provide a more thorough understanding of the multispecies interactions involved in syntrophy and the synthesis of complex structures such as the sheath, which is shared by multiple cells.

Conclusions

We report here an inventory of the genomic features of the methane-producing anaerobic archaeon, strain JF1 (DSM 864), and describe its phylogenetic relationship to its neighbors. We further identify from the sizable genome of examples of genes involved in anaerobic syntrophy, and as the type strain of the , suggest potential universal qualities of this genus. We hope this report aids and stimulates further study of this fascinating organism.
  39 in total

Review 1.  The archaeal flagellum: a different kind of prokaryotic motility structure.

Authors:  N A Thomas; S L Bardy; K F Jarrell
Journal:  FEMS Microbiol Rev       Date:  2001-04       Impact factor: 16.408

2.  GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes.

Authors:  Amrita Pati; Natalia N Ivanova; Natalia Mikhailova; Galina Ovchinnikova; Sean D Hooper; Athanasios Lykidis; Nikos C Kyrpides
Journal:  Nat Methods       Date:  2010-05-02       Impact factor: 28.547

3.  Chemotaxis in Methanospirillum hungatei.

Authors:  J Migas; K L Anderson; D L Cruden; A J Markovetz
Journal:  Appl Environ Microbiol       Date:  1989-01       Impact factor: 4.792

4.  Consed: a graphical tool for sequence finishing.

Authors:  D Gordon; C Abajian; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

Review 5.  Genomic insights into syntrophy: the paradigm for anaerobic metabolic cooperation.

Authors:  Jessica R Sieber; Michael J McInerney; Robert P Gunsalus
Journal:  Annu Rev Microbiol       Date:  2012-07-09       Impact factor: 15.500

6.  Novel archaeal adhesion pilins with a conserved N terminus.

Authors:  Rianne N Esquivel; Rachel Xu; Mechthild Pohlschroder
Journal:  J Bacteriol       Date:  2013-06-21       Impact factor: 3.490

7.  Structural, mass and elemental analyses of storage granules in methanogenic archaeal cells.

Authors:  Daniel B Toso; Anne M Henstra; Robert P Gunsalus; Z Hong Zhou
Journal:  Environ Microbiol       Date:  2011-08-19       Impact factor: 5.491

8.  Identification and isolation of anaerobic, syntrophic phthalate isomer-degrading microbes from methanogenic sludges treating wastewater from terephthalate manufacturing.

Authors:  Yan-Ling Qiu; Yuji Sekiguchi; Hiroyuki Imachi; Yoichi Kamagata; I-Cheng Tseng; Sheng-Shung Cheng; Akiyoshi Ohashi; Hideki Harada
Journal:  Appl Environ Microbiol       Date:  2004-03       Impact factor: 4.792

9.  Nutritional and biochemical characterization of Methanospirillum hungatii.

Authors:  J G Ferry; R S Wolfe
Journal:  Appl Environ Microbiol       Date:  1977-10       Impact factor: 4.792

10.  Novel polar lipids from the methanogen Methanospirillum hungatei GP1.

Authors:  S C Kushwaha; M Kates; G D Sprott; I C Smith
Journal:  Biochim Biophys Acta       Date:  1981-04-23
View more
  7 in total

1.  CryoEM structure of the Methanospirillum hungatei archaellum reveals structural features distinct from the bacterial flagellum and type IV pilus.

Authors:  Nicole Poweleit; Peng Ge; Hong H Nguyen; Rachel R Ogorzalek Loo; Robert P Gunsalus; Z Hong Zhou
Journal:  Nat Microbiol       Date:  2016-12-05       Impact factor: 17.745

2.  Membrane Complexes of Syntrophomonas wolfei Involved in Syntrophic Butyrate Degradation and Hydrogen Formation.

Authors:  Bryan R Crable; Jessica R Sieber; Xinwei Mao; Lisa Alvarez-Cohen; Robert Gunsalus; Rachel R Ogorzalek Loo; Hong Nguyen; Michael J McInerney
Journal:  Front Microbiol       Date:  2016-11-09       Impact factor: 5.640

3.  Phyletic Distribution and Lineage-Specific Domain Architectures of Archaeal Two-Component Signal Transduction Systems.

Authors:  Michael Y Galperin; Kira S Makarova; Yuri I Wolf; Eugene V Koonin
Journal:  J Bacteriol       Date:  2018-03-12       Impact factor: 3.490

Review 4.  Putative Extracellular Electron Transfer in Methanogenic Archaea.

Authors:  Kailin Gao; Yahai Lu
Journal:  Front Microbiol       Date:  2021-03-22       Impact factor: 5.640

5.  Bovine host genome acts on rumen microbiome function linked to methane emissions.

Authors:  Marina Martínez-Álvaro; Marc D Auffret; Carol-Anne Duthie; Richard J Dewhurst; Matthew A Cleveland; Mick Watson; Rainer Roehe
Journal:  Commun Biol       Date:  2022-04-12

6.  Anaerobic digestion of pig manure supernatant at high ammonia concentrations characterized by high abundances of Methanosaeta and non-euryarchaeotal archaea.

Authors:  Anna Synnøve Røstad Nordgård; Wenche Hennie Bergland; Olav Vadstein; Vladimir Mironov; Rune Bakke; Kjetill Østgaard; Ingrid Bakke
Journal:  Sci Rep       Date:  2017-11-08       Impact factor: 4.379

Review 7.  Several ways one goal-methanogenesis from unconventional substrates.

Authors:  Julia M Kurth; Huub J M Op den Camp; Cornelia U Welte
Journal:  Appl Microbiol Biotechnol       Date:  2020-06-15       Impact factor: 4.813

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.