Literature DB >> 21886858

Complete genome sequence of the extremely halophilic Halanaerobium praevalens type strain (GSL).

Natalia Ivanova, Johannes Sikorski, Olga Chertkov, Matt Nolan, Susan Lucas, Nancy Hammon, Shweta Deshpande, Jan-Fang Cheng, Roxanne Tapia, Cliff Han, Lynne Goodwin, Sam Pitluck, Marcel Huntemann, Konstantinos Liolios, Ioanna Pagani, Konstantinos Mavromatis, Galina Ovchinikova, Amrita Pati, Amy Chen, Krishna Palaniappan, Miriam Land, Loren Hauser, Evelyne-Marie Brambilla, K Palani Kannan, Manfred Rohde, Brian J Tindall, Markus Göker, John C Detter, Tanja Woyke, James Bristow, Jonathan A Eisen, Victor Markowitz, Philip Hugenholtz, Nikos C Kyrpides, Hans-Peter Klenk, Alla Lapidus.   

Abstract

Halanaerobium praevalens Zeikus et al. 1984 is the type species of the genus Halanaerobium, which in turn is the type genus of the family Halanaerobiaceae. The species is of interest because it is able to reduce a variety of nitro-substituted aromatic compounds at a high rate, and because of its ability to degrade organic pollutants. The strain is also of interest because it functions as a hydrolytic bacterium, fermenting complex organic matter and producing intermediary metabolites for other trophic groups such as sulfate-reducing and methanogenic bacteria. It is further reported as being involved in carbon removal in the Great Salt Lake, its source of isolation. This is the first completed genome sequence of a representative of the genus Halanaerobium and the second genome sequence from a type strain of the family Halanaerobiaceae. The 2,309,262 bp long genome with its 2,110 protein-coding and 70 RNA genes is a part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  GEBA; Gram-negative; Halanaerobiaceae; chemoorganotroph; halophilic; mesophilic; moderate alkaliphile; non-motile; straight rod-shaped; strictly anaerobic

Year:  2011        PMID: 21886858      PMCID: PMC3156398          DOI: 10.4056/sigs.1824509

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


Introduction

Strain GSLT (= DSM 2228 =ATCC 33744) is the type strain of the species Halanaerobium praevalens, which is the type species of its genus Halanaerobium [1]. Originally described as Haloanaerobium [2], the name was later changed to Halanaerobium to conform with rule 61 of the Bacteriological Code [3]. The genus currently consists of nine validly named species [4]. The genus name is derived from the Latinized Greek word hals; halos meaning salt, the Latinized Greek word an- meaning not, the Latinized Greek word aer meaning air and the Latinized Greek word bios meaning life, yielding the Neo-Latin word 'Halanaerobium' meaning 'salt organism which grows in the absence of air' [4]. The species epithet is derived from the Latin word 'praevalens' (very powerful, very strong, here prevalent) [4]. Strain GSLT was isolated from the hypersaline surface sediments of Great Salt Lake, Utah, USA [2]. Further strains of H. praevalens have been isolated from canned salted Swedish fermented herrings referred to as Surströmming [5] and probably also from the Red Sea [6]. Other members of the genus have been isolated also from high salt environments distributed worldwide [7-10]. The enzymatic activities of the fatty acid synthetase complex and the D-BAPA (N’-benzoyl-arginine-p-nitroanilide)-ase of H. praevalens have been studied in more detail [11,12]. Here we present a summary classification and a set of features for H. praevalens strain GSLT, together with the description of the complete genome sequencing and annotation.

Classification and features

A representative genomic 16S rRNA sequence of H. praevalens was compared using NCBI BLAST under default values (e.g., considering only the best 250 hits) with the most recent release of the Greengenes database [13] and the relative frequencies, weighted by BLAST scores, of taxa and keywords (reduced to their stem [14]) were determined. The five most frequent genera were Halanaerobium (81.9%), Halothermothrix (7.8%), Halanaerobacter (2.7%), Acetohalobium (2.3%) and Natroniella (1.9%). Regarding hits to sequences from other members of the genus, the average identity within HSPs (high-scoring segment pairs) was 97.8%, whereas the average coverage by HSPs was 96.3%. The species yielding the highest score was Halanaerobium saccharolyticum. (Note that the Greengenes database uses the INSDC (= EMBL/NCBI/DDBJ) annotation, which is not an authoritative source for nomenclature or classification.) The five most frequent keywords within the labels of environmental samples which yielded hits were 'microbi' (9.4%), 'hypersalin' (9.1%), 'mat' (8.6%), 'len, miniprim, new, view, world' (8.5%) and 'food' (3.4%). The single most frequent keyword within the labels of environmental samples which yielded hits of a higher score than the highest scoring species was 'hypersalin, len, mat, microbi, miniprim, new, view, world' (12.5%). These key words are in line with the ecology and the niche from where strains of H. praevalens have been isolated. Figure 1 shows the phylogenetic neighborhood of H. praevalens GSLT in a 16S rRNA gene based tree. The sequences of the four 16S rRNA gene copies in the genome differ from each other by up to five nucleotides, and differ by up to five nucleotides from the previously published 16S rRNA gene sequence (AB022034).
Figure 1

Phylogenetic tree highlighting the position of H. praevalens GSLT relative to the other type strains within the family Halanaerobiaceae. The tree was inferred from 1,460 aligned characters [15,16] of the 16S rRNA gene sequence under the maximum likelihood criterion [17] and rooted in accordance with the current taxonomy. The branches are scaled in terms of the expected number of substitutions per site. Numbers to the right of bifurcations are support values from 1,000 bootstrap replicates [18] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [19] are labeled with an asterisk, published genomes with two asterisks [20].

Phylogenetic tree highlighting the position of H. praevalens GSLT relative to the other type strains within the family Halanaerobiaceae. The tree was inferred from 1,460 aligned characters [15,16] of the 16S rRNA gene sequence under the maximum likelihood criterion [17] and rooted in accordance with the current taxonomy. The branches are scaled in terms of the expected number of substitutions per site. Numbers to the right of bifurcations are support values from 1,000 bootstrap replicates [18] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [19] are labeled with an asterisk, published genomes with two asterisks [20]. The cells of strain GSLT are straight and rod-shaped (1 × 2.4 µm) (Figure 2) when grown to the mid-log phase at 37ºC on CS medium containing 12.5% NaCl and 0.5% glucose [2]. When grown at higher NaCl concentrations (> 20%) the cells appear granulated and shorter in length [2]. Single colonies were reported as white to translucent in color, 0.5-2.0 mm in diameter, and glistened, when grown on agar plates containing CS medium, 12.5% NaCl, and 0.5% glucose [2]. H. praevalens cells stain Gram-negative [2] and electron microscopy in thin section revealed architectural features typical of Gram-negative bacteria [2]. However, the positive D-BAPA-ase reaction [11] confirms its phylogenetic affiliation to the endospore-forming firmicutes (Table 1). In this respect, H. praevalens is able to hydrolyze only the D- but not the L- isomer of N’-benzoyl-arginine-p-nitroanilide (BAPA) [11]. The activity of D-BAPA-ase was highest at low NaCl concentration (100 mM) and completely inhibited at NaCl concentration equal or higher than 1.0 M (~12%) [11]. Strain GSLT is described to be non-motile, although many flagellar genes have been identified in the genome (see below). Other isolates of H. praevalens were described as motile [5,6], as were other members of the genus [7,9,10], suggesting strain GSLT is atypical with regard to motility. The organism is a strictly anaerobic chemoorganotroph [2]. It grows at NaCl concentrations between 2% and 30%, with optimal growth at approximately 13% [2]. The doubling time is 4 h at 12.5% NaCl and 7 h at 25% NaCl in complex CS medium [2]. The temperature range for growth ranges from 5ºC to 60ºC, with an optimum at 37ºC [2]. The pH range for growth is between 6.0 and 9.0, with an optimum at pH between 7.0 and 7.4 [2]. Strain GSLT is able to utilize carbohydrates (including pectin and N-acetylglucosamine), amino acids, yeast extract, and trypticase; the two latter serving as carbon and energy sources on complex medium [2]. The fermentation of glucose yielded butyrate, acetate, propionate, H2, and CO2 as major products [2]. Also, fructose, D-mannose and maltose are utilized and methionine is transformed to methylmercaptan [2]. Penicillin, tetracycline, cycloserine, chloramphenicol (each at 100 µg/ml culture) or sodium azide (500 µg/ml) completely inhibit the growth of H. praevalens [2]. Strain GSLT was also able to degrade nitro-substituted aromatic compounds such as nitrobenzene, o-nitrophenol, m-nitrophenol, p-nitrophenol, 2,4-dinitrophenol, and 2,4-dinitroaniline [34]. The fatty acid synthetase of H. praevalens is only slightly inhibited at 17.5% and was the first reported to be active in the presence of high salt concentrations [12]. H. praevalens was reported to be involved in carbon sequestration in the Great Salt Lake [35], since it is present in the sediments of this lake in high numbers (≥ 108 cells/ml) [2,36]. H. praevalens regulates its internal osmotic pressure by the accumulation of salts (Na+, K+, Cl-) rather than by compatible solutes [36]. High concentrations of these salts were measured inside the cells, in sufficient concentration to be isotonic or hypertonic with the medium [37]. Thiosulfate reduction and rhodanese-like enzyme (thiosulfate:cyanide sulfur-transferase) activities also tested positive in strain GSLT [8]. Early in 1987, Matheson et al. [38] established the primary structure of the ribosomal A-protein of the strain GSLT, which is the equivalent to the ribosomal protein L12 from Escherichia coli.
Figure 2

Scanning electron micrograph of H. praevalens GSLT

Table 1

Classification and general features of H. praevalens GSLT according to the MIGS recommendations [21] and the NamesforLife database [22].

MIGS ID   Property   Term   Evidence code
   Current classification   Domain Bacteria   TAS [23]
   Phylum Firmicutes   TAS [24,25]
   Class Clostridia   TAS [26,27]
   Order Halanaerobiales   TAS [28-30]
   Family Halanaerobiaceae   TAS [1,31]
   Genus Halanaerobium   TAS [1-3,30]
   Species Halanaerobium praevalens   TAS [1,2]
   Type strain GSL   TAS [2]
   Gram stain   negative   TAS [2]
   Cell shape   straight rods   TAS [2]
   Motility   non-motile   TAS [2]
   Sporulation   none   TAS [2]
   Temperature range   above 5ºC and below 60ºC   TAS [2]
   Optimum temperature   37°C   TAS [2]
   Salinity   2%-30% NaCl, optimum at 13%   TAS [2]
MIGS-22   Oxygen requirement   strictly anaerobic   TAS [2]
   Carbon source   yeast extract, trypticase   TAS [2]
   Energy metabolism   chemoorganotroph   TAS [2]
MIGS-6   Habitat   saline environments   TAS [2]
MIGS-15   Biotic relationship   not reported   NAS
MIGS-14   Pathogenicity   not reported   NAS
   Biosafety level   1   TAS [32]
   Isolation   surface sediments of a saline lake   TAS [2]
MIGS-4   Geographic location   Great Salt Lake, Utah, USA   TAS [2]
MIGS-5   Sample collection time   between August 1979 and August 1980   TAS [2]
MIGS-4.1   Latitude   41.15   NAS
MIGS-4.2   Longitude   -112.67   NAS
MIGS-4.3   Depth   10 m bottom sediment   TAS [2]
MIGS-4.4   Altitude   1.755 m above sea level   NAS

Evidence codes - IDA: Inferred from Direct Assay (first time in publication); 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 of the Gene Ontology project [33]. If the evidence code is IDA, the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

Scanning electron micrograph of H. praevalens GSLT Evidence codes - IDA: Inferred from Direct Assay (first time in publication); 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 of the Gene Ontology project [33]. If the evidence code is IDA, the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

Chemotaxonomy

When grown on CS medium, at 5% NaCl, more lipids are produced than at 25% NaCl (3.74% and 2.54% of the dry weight of the organism, respectively) [2]. At 5% NaCl, the fractions of glycolipids and phospholipids are 46.9% and 44.5% of the total lipids, respectively. At 25%, the proportion changes in favor of phospholipids (49.1%), whereas glycolipids decrease (43.0%) [2]. The glycolipids consist of a single component diacylglycerol derivative, while the phospholipids consist mainly of cardiolipin (CL), phosphatidyl glycerol (PG), and three minor unidentified constituents [2]. When grown on CS medium, at 5%, the major fatty acids are C14:0 (49.3%), C16:1 (31.3%) and C16:0 (11.4%). At 25%, these fractions change to 36.8%, 39%, and 22.7%, respectively. Similar though more detailed results on the fatty acid composition have been reported recently [6].

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [39], and is part of the enomic ncyclopedia of acteria and rchaea project [40]. The genome project is deposited in the Genome On Line Database [19] and the complete genome sequence is deposited in GenBank. Sequencing, finishing and annotation were performed by the DOE Joint Genome Institute (JGI). A summary of the project information is shown in Table 2.
Table 2

Genome sequencing project information

MIGS ID    Property    Term
MIGS-31    Finishing quality    Finished
MIGS-28    Libraries used    Three genomic libraries: one 454 pyrosequence standard library,    one 454 PE library (13 kb insert size), one Illumina library
MIGS-29    Sequencing platforms    Illumina GAii, 454 GS FLX Titanium
MIGS-31.2    Sequencing coverage    201.2 × Illumina; 174.2 × pyrosequence
MIGS-30    Assemblers    Newbler version 2.3, Velvet, phrap
MIGS-32    Gene calling method    Prodigal 1.4, GenePRIMP
    INSDC ID    CP002175
    Genbank Date of Release    October 21, 2010
    GOLD ID    Gc01415
    NCBI project ID    32591
    Database: IMG-GEBA    2503283011
MIGS-13    Source material identifier    DSM 2228
    Project relevance    Tree of Life, GEBA

Growth conditions and DNA isolation

H. praevalens GSLT, DSM 2228, was grown anaerobically in DSMZ medium 210 (‘Haloanaerobium’ medium) [41] at 30-37°C. DNA was isolated from 0.5-1 g of cell paste using MasterPure Gram-positive DNA purification kit (Epicentre MGP04100) following the standard protocol as recommended by the manufacturer, with modification st/DL for cell lysis as described in Wu et al. [40]. DNA is available through the DNA Bank Network [42].

Genome sequencing and assembly

The genome was sequenced using a combination of Illumina and 454 sequencing platforms. All general aspects of library construction and sequencing can be found at the JGI website [43]. Pyrosequencing reads were assembled using the Newbler assembler (Roche). The initial Newbler assembly, consisting of 85 contigs in 31 scaffolds, was converted into a phrap [44] assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina sequencing data (360 Mb) was assembled with Velvet [45] and the consensus sequences were shredded into 1.5 kb overlapped fake reads and assembled together with the 454 data. The 454 draft assembly was based on 401.6 Mb 454 draft data and all of the 454 paired end data. Newbler parameters are -consed -a 50 -l 350 -g -m -ml 20. The Phred/Phrap/Consed software package [44] was used for sequence assembly and quality assessment in the subsequent finishing process. After the shotgun stage, reads were assembled with parallel phrap (High Performance Software, LLC). Possible mis-assemblies were corrected with gapResolution [43], Dupfinisher [46], or sequencing cloned bridging PCR fragments with subcloning. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F. Chang, unpublished). A total of 417 additional reactions and ten shatter libraries were necessary to close gaps and to raise the quality of the finished sequence. Illumina reads were also used to correct potential base errors and increase consensus quality using a software Polisher developed at JGI [47]. The error rate of the completed genome sequence is less than 1 in 100,000. Together, the combination of the Illumina and 454 sequencing platforms provided 375.4 × coverage of the genome. The final assembly contained 838,597 pyrosequence and 12,903,210 Illumina reads.

Genome annotation

Genes were identified using Prodigal [48] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [49]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) non-redundant database, UniProt, TIGR-Fam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Additional gene prediction analysis and functional annotation was performed within the Integrated Microbial Genomes - Expert Review (IMG-ER) platform [50].

Genome properties

The genome consists of a 2,309,262 bp long chromosome with a G+C content of 30.3% (Table 3 and Figure 3). Of the 2,180 genes predicted, 2,110 were protein-coding genes, and 70 RNAs; 42 pseudogenes were also identified. The majority of the protein-coding genes (77.7%) were assigned with a putative function while the remaining ones were annotated as hypothetical proteins. The distribution of genes into COGs functional categories is presented in Table 4.
Table 3

Genome Statistics

Attribute    Value   % of Total
Genome size (bp)    2,309,262   100.00%
DNA coding region (bp)    2,059,925   89.20%
DNA G+C content (bp)    699,559   30.29%
Number of replicons    1
Extrachromosomal elements    0
Total genes    2,180   100.00%
RNA genes    70   3.21%
rRNA operons    4
Protein-coding genes    2,110   96.79%
Pseudo genes    42   1.93%
Genes with function prediction    1,694   77.71%
Genes in paralog clusters    310   14.22%
Genes assigned to COGs    1,760   80.73%
Genes assigned Pfam domains    1,860   85.32%
Genes with signal peptides    446   20.46%
Genes with transmembrane helices    582   26.70%
CRISPR repeats    1
Figure 3

Graphical circular map of the chromosome. From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content, GC skew.

Table 4

Number of genes associated with the general COG functional categories

Code    value   %age    Description
J    133   6.9    Translation, ribosomal structure and biogenesis
A    0   0.0    RNA processing and modification
K    124   6.4    Transcription
L    115   6.0    Replication, recombination and repair
B    1   0.0    Chromatin structure and dynamics
D    24   1.2    Cell cycle control, cell division, chromosome partitioning
Y    0   0.0    Nuclear structure
V    18   0.9    Defense mechanisms
T    126   6.5    Signal transduction mechanisms
M    106   5.5    Cell wall/membrane/envelope biogenesis
N    76   3.9    Cell motility
Z    0   0.0    Cytoskeleton
W    0   0.0    Extracellular structures
U    44   2.3    Intracellular trafficking, secretion, and vesicular transport
O    66   3.4    Posttranslational modification, protein turnover, chaperones
C    123   6.4    Energy production and conversion
G    150   7.8    Carbohydrate transport and metabolism
E    136   7.0    Amino acid transport and metabolism
F    74   3.8    Nucleotide transport and metabolism
H    80   4.1    Coenzyme transport and metabolism
I    45   2.3    Lipid transport and metabolism
P    121   6.3    Inorganic ion transport and metabolism
Q    18   0.9    Secondary metabolites biosynthesis, transport and catabolism
R    186   9.6    General function prediction only
S    168   8.7    Function unknown
-    420   19.3    Not in COGs
Graphical circular map of the chromosome. From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content, GC skew.
  31 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  List of new names and new combinations previously effectively, but not validly, published.

Authors: 
Journal:  Int J Syst Evol Microbiol       Date:  2010-05       Impact factor: 2.747

3.  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

Review 4.  En route to a genome-based classification of Archaea and Bacteria?

Authors:  H-P Klenk; M Göker
Journal:  Syst Appl Microbiol       Date:  2010-04-20       Impact factor: 4.022

5.  Validation of the publication of new names and new combinations previously effectively published outside the IJSB. List No. 65.

Authors: 
Journal:  Int J Syst Bacteriol       Date:  1998-04

6.  Reduction of nitrosubstituted aromatic compounds by the halophilic anaerobic eubacteria Haloanaerobium praevalens and Sporohalobacter marismortui.

Authors:  A Oren; P Gurevich; Y Henis
Journal:  Appl Environ Microbiol       Date:  1991-11       Impact factor: 4.792

7.  The DNA bank network: the start from a german initiative.

Authors:  Birgit Gemeinholzer; Gabriele Dröge; Holger Zetzsche; Gerhard Haszprunar; Hans-Peter Klenk; Anton Güntsch; Walter G Berendsohn; Johann-Wolfgang Wägele
Journal:  Biopreserv Biobank       Date:  2011-03       Impact factor: 2.300

8.  Strictly anaerobic halophiles isolated from canned Swedish fermented herrings (Surströmming).

Authors:  T Kobayashi; B Kimura; T Fujii
Journal:  Int J Food Microbiol       Date:  2000-03-10       Impact factor: 5.277

9.  rdlA, a new gene encoding a rhodanese-like protein in Halanaerobium congolense and other thiosulfate-reducing anaerobes.

Authors:  Gilles Ravot; Laurence Casalot; Bernard Ollivier; Gérard Loison; Michel Magot
Journal:  Res Microbiol       Date:  2005-07-13       Impact factor: 3.992

10.  Microbial diversity of the brine-seawater interface of the Kebrit Deep, Red Sea, studied via 16S rRNA gene sequences and cultivation methods.

Authors:  W Eder; L L Jahnke; M Schmidt; R Huber
Journal:  Appl Environ Microbiol       Date:  2001-07       Impact factor: 4.792

View more
  11 in total

1.  The amino acid composition of proteins from anaerobic halophilic bacteria of the order Halanaerobiales.

Authors:  Rahel Elevi Bardavid; Aharon Oren
Journal:  Extremophiles       Date:  2012-04-19       Impact factor: 2.395

2.  Predominance and Metabolic Potential of Halanaerobium spp. in Produced Water from Hydraulically Fractured Marcellus Shale Wells.

Authors:  Daniel Lipus; Amit Vikram; Daniel Ross; Daniel Bain; Djuna Gulliver; Richard Hammack; Kyle Bibby
Journal:  Appl Environ Microbiol       Date:  2017-03-31       Impact factor: 4.792

3.  Acid-shifted isoelectric point profiles of the proteins in a hypersaline microbial mat: an adaptation to life at high salt concentrations?

Authors:  Rahel Elevi Bardavid; Aharon Oren
Journal:  Extremophiles       Date:  2012-08-21       Impact factor: 2.395

4.  Dissecting Light Sensing and Metabolic Pathways on the Millimeter Scale in High-Altitude Modern Stromatolites.

Authors:  Daniel Gonzalo Alonso-Reyes; Fátima Silvina Galván; José Matías Irazoqui; Ariel Amadio; Diogo Tschoeke; Fabiano Thompson; Virginia Helena Albarracín; María Eugenia Farias
Journal:  Microb Ecol       Date:  2022-09-26       Impact factor: 4.192

Review 5.  Life at high salt concentrations, intracellular KCl concentrations, and acidic proteomes.

Authors:  Aharon Oren
Journal:  Front Microbiol       Date:  2013-11-05       Impact factor: 5.640

6.  Going from microbial ecology to genome data and back: studies on a haloalkaliphilic bacterium isolated from Soap Lake, Washington State.

Authors:  Melanie R Mormile
Journal:  Front Microbiol       Date:  2014-11-19       Impact factor: 5.640

7.  Insights of Phage-Host Interaction in Hypersaline Ecosystem through Metagenomics Analyses.

Authors:  Amir Mohaghegh Motlagh; Ananda S Bhattacharjee; Felipe H Coutinho; Bas E Dutilh; Sherwood R Casjens; Ramesh K Goel
Journal:  Front Microbiol       Date:  2017-03-03       Impact factor: 5.640

8.  Control of Sulfide Production in High Salinity Bakken Shale Oil Reservoirs by Halophilic Bacteria Reducing Nitrate to Nitrite.

Authors:  Biwen A An; Yin Shen; Gerrit Voordouw
Journal:  Front Microbiol       Date:  2017-06-21       Impact factor: 5.640

9.  Genome Sequence of Halanaerobium saccharolyticum subsp. saccharolyticum Strain DSM 6643T, a Halophilic Hydrogen-Producing Bacterium.

Authors:  Anniina Kivistö; Antti Larjo; Alessandro Ciranna; Ville Santala; Christophe Roos; Matti Karp
Journal:  Genome Announc       Date:  2013-05-02

10.  Molecular and Biochemical Characterization of Salt-Tolerant Trehalose-6-Phosphate Hydrolases Identified by Screening and Sequencing Salt-Tolerant Clones From the Metagenomic Library of the Gastrointestinal Tract.

Authors:  Yanxia Yang; Yunjuan Yang; Qin Fan; Zunxi Huang; Junjun Li; Qian Wu; Xianghua Tang; Junmei Ding; Nanyu Han; Bo Xu
Journal:  Front Microbiol       Date:  2020-07-07       Impact factor: 5.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.