Literature DB >> 21475585

Complete genome sequence of Paludibacter propionicigenes type strain (WB4).

Sabine Gronow, Christine Munk, Alla Lapidus, Matt Nolan, Susan Lucas, Nancy Hammon, Shweta Deshpande, Jan-Fang Cheng, Roxane Tapia, Cliff Han, Lynne Goodwin, Sam Pitluck, Konstantinos Liolios, Natalia Ivanova, Konstantinos Mavromatis, Natalia Mikhailova, Amrita Pati, Amy Chen, Krishna Palaniappan, Miriam Land, Loren Hauser, Yun-Juan Chang, Cynthia D Jeffries, Evelyne Brambilla, Manfred Rohde, Markus Göker, John C Detter, Tanja Woyke, James Bristow, Jonathan A Eisen, Victor Markowitz, Philip Hugenholtz, Nikos C Kyrpides, Hans-Peter Klenk.   

Abstract

Paludibacter propionicigenes Ueki et al. 2006 is the type species of the genus Paludibacter, which belongs to the family Porphyromonadaceae. The species is of interest because of the position it occupies in the tree of life where it can be found in close proximity to members of the genus Dysgonomonas. This is the first completed genome sequence of a member of the genus Paludibacter and the third sequence from the family Porphyromonadaceae. The 3,685,504 bp long genome with its 3,054 protein-coding and 64 RNA genes consists of one circular chromosome and is a part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  GEBA; Gram-negative; Porphyromonadaceae; anoxic rice-field soil; chemoorganotrophic; mesophilic; nonmotile; strictly anaerobic

Year:  2011        PMID: 21475585      PMCID: PMC3072083          DOI: 10.4056/sigs.1503846

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


Introduction

Strain WB4T (= DSM 17365 = CCUG 53888 = JCM 13257) is the type strain of P. propionicigenes, which is the type species of the genus Paludibacter [1,2]. Currently, there is only one species placed in the genus Paludibacter [1]. The generic name derives from the Latin noun palus –udis meaning swamp or marsh and the Neo-Latin word bacter meaning a rod, referring to a rod living in swamps [2]. The species epithet is derived from the Neo-Latin word acidum propionicum meaning propionic acid and the Greek verb gennao meaning to produce, referring to the metabolic property of the species [2]. P. propionicigenes strain WB4T was isolated together with a number of other strains from rice plant residues in an anoxic rice-field soil in Yamagata, Japan, and described for the first time by Akasaka et al. in 2003 [3]. In 2006 the species was formally described by Ueki et al. and the genus Paludibacter was introduced [2]. No further isolates have been obtained for P. propionicigenes, however, cultivation-independent 16S rRNA-dependent molecular investigations showed the presence of P. propionicigenes in the rumen of sheep [4]. Here we present a summary classification and a set of features for P. propionicigenes WB4T, together with the description of the complete genomic sequencing and annotation.

Classification and features

A representative genomic 16S rRNA sequence of strain WB4T 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 [5] and the relative frequencies, of taxa and keywords (reduced to their stems [6]) were determined, weighted by BLAST scores. The most frequently occurring genus was Dysgonomonas (100%) (8 hits in total). Among all other species, the one yielding the highest score was Dysgonomonas capnocytophagoides, which corresponded to an identity of 91.9% and a HSP coverage of 83.6%. The highest-scoring environmental sequence was AY212569 ('water 10 m downstream manure clone 118ds10'), which showed an identity of 99.6% and a HSP coverage of 100.1%. The five most frequent keywords within the labels of environmental samples which yielded hits were 'digest' (11.7%), 'anaerob' (6.2%), 'sludge' (6.1%), 'wastewater' (6.0%) and 'mesophile' (5.9%) (241 hits in total). The single most frequent keyword within the labels of environmental samples which yielded hits of a higher score than the highest scoring species was 'downstream/manure/water' (33.3%) (1 hit in total). Figure 1 shows the phylogenetic neighborhood of P. propionicigenes WB4T in a 16S rRNA based tree. The three identical 16S rRNA sequences in the genome differ by one nucleotide from the previously published 16S rRNA sequence (AB078842).
Figure 1

Phylogenetic tree highlighting the position of P. propionicigenes relative to the other type strains within the family Porphyromonadaceae. The tree was inferred from 1,400 aligned characters [7,8] of the 16S rRNA gene sequence under the maximum likelihood criterion [9] and rooted in accordance with the current taxonomy. The branches are scaled in terms of the expected number of substitutions per site. Numbers above branches are support values from 300 bootstrap replicates [10] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [11] are shown in blue, published genomes in bold [12,13].

Phylogenetic tree highlighting the position of P. propionicigenes relative to the other type strains within the family Porphyromonadaceae. The tree was inferred from 1,400 aligned characters [7,8] of the 16S rRNA gene sequence under the maximum likelihood criterion [9] and rooted in accordance with the current taxonomy. The branches are scaled in terms of the expected number of substitutions per site. Numbers above branches are support values from 300 bootstrap replicates [10] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [11] are shown in blue, published genomes in bold [12,13]. The cells of P. propionicigenes are generally rod-shaped (0.5-0.6 μm × 1.3-1.7 µm) with ends that are round or slightly tapered [2]. Elongated cells can also be seen, either as single cells or in short chains (Figure 2). P. propionicigenes is a Gram-negative and non spore-forming bacterium (Table 1). The organism is described to be nonmotile; only eight genes associated with motility were identified in the genome. The organism is strictly anaerobic and chemoorganotrophic [2,3]. The temperature range for growth is between 15°C and 35°C, with an optimum at 30°C [2]. The organism does not grow at 37°C [2]. The pH range for growth is 5.0-7.6 with an optimum at pH 6.6 [2]. NaCl concentrations from 0-0.5% (w/v) are tolerated. P. propionicigenes is able to utilize arabinose, glucose, fructose, xylose, cellobiose, galactose, mannose, maltose, melibiose, glycogen and soluble starch as growth substrates [2]. The organism does not utilize ribose, lactose, sucrose, melezitose, raffinose, sorbose, rhamnose, trehalose, cellulose, xylan, salicin, dulcitol, inositol, mannitol, sorbitol, ethanol, glycerol, fumarate, malate, lactate, succinate or pyruvate [2]. Glucose is fermented to propionate and acetate in a molar ratio of 2:1 as major products and succinate as a minor product [2]. The organism does not reduce nitrate, it does not hydrolyze gelatin or urea and does not produce indole or hydrogen sulfide [2]. P. propionicigenes does not grow in the presence of bile salts. Catalase and oxidase are not present in the organism [2].
Figure 2

Scanning electron micrograph of P. propionicigenes WB4T

Table 1

Classification and general features of P. propionicigenes WB4T according to the MIGS recommendations [14].

MIGS ID    Property    Term    Evidence code
    Current classification    Domain Bacteria    TAS [15]
    Phylum Bacteroidetes    TAS [16]
    Class Bacteroidia    TAS [16,17]
    Order Bacteroidales    TAS [16]
    Family Porphyromonadaceae    TAS [16]
    Genus Paludibacter    TAS [2]
    Species Paludibacter propionicigenes    TAS [2]
    Type strain WB4    TAS [2]
    Gram stain    negative    TAS [3]
    Cell shape    rod-shaped    TAS [3]
    Motility    non-motile    TAS [2]
    Sporulation    none    TAS [3]
    Temperature range    15°C to 35°C    TAS [3]
    Optimum temperature    30°C    TAS [2]
    Salinity    normal    NAS
MIGS-22    Oxygen requirement    strictly anaerobic    TAS [3]
    Carbon source    carbohydrates    TAS [3]
    Energy source    chemoorganotroph    TAS [3]
MIGS-6    Habitat    soil    TAS [3]
MIGS-15    Biotic relationship    free-living    NAS
MIGS-14    Pathogenicity    none    NAS
    Biosafety level    1    TAS [18]
    Isolation    rice plant residue in anoxic rice-field soil    TAS [3]
MIGS-4    Geographic location    Yamagata, Japan    TAS [3]
MIGS-5    Sample collection time    1994    TAS [3]
MIGS-4.1    Latitude    38.25    NAS
MIGS-4.2    Longitude    140.34    NAS
MIGS-4.3    Depth    not reported
MIGS-4.4    Altitude    not reported

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 [19]. If the evidence code is IDA, then the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

Scanning electron micrograph of P. propionicigenes WB4T 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 [19]. If the evidence code is IDA, then the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

Chemotaxonomy

Little chemotaxonomic data are available for strain WB4T. Only the fatty acid composition has been elucidated. The major fatty acids found were anteiso-C15:0 (30.8%), C15:0 (19.0%) and 3-hydroxy anteiso-C17:0 (17.9%) [2]. Also, iso-C17:0 3-OH (6.2%) and C16:0 (4.9%) were detected in intermediate amounts whereas iso-C15:0 3-OH, iso-C16:0 3-OH, C15:0 3-OH, C16:03-OH, iso-C15:0, C14:0, C16:0, and C18:0 were present in minor amounts (1% to 5% of the total fatty acids). Unsaturated fatty acids were not detected [2].

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [20], and is part of the enomic ncyclopedia of acteria and rchaea project [21]. The genome project is deposited in the Genomes OnLine Database [11] 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 (9 kb insert size),     one Illumina library
MIGS-29     Sequencing platforms     Illumina GAii, 454 GS FLX Titanium
MIGS-31.2     Sequencing coverage     337.6 × Illumina; 28.1 × pyrosequence
MIGS-30     Assemblers     Newbler version 2 2.3-PreRelease-10-21-2009-gcc-4.1.2-threads,     Velvet, phrap
MIGS-32     Gene calling method     Prodigal 1.4, GenePRIMP
     INSDC ID     CP002345
     Genbank Date of Release     December 2, 2010
     GOLD ID     Gc01549
     NCBI project ID     694427
     Database: IMG-GEBA     2503538024
MIGS-13     Source material identifier     DSM 17365
     Project relevance     Tree of Life, GEBA

Growth conditions and DNA isolation

P. propionicigenes WB4T, DSM 17365, was grown anaerobically in DSMZ medium 104 [22] at 30°C. DNA was isolated from 0.5-1 g of cell paste using a 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. [21].

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 [23]. Pyrosequencing reads were assembled using the Newbler assembler version 2.3-PreRelease-10-21-2009-gcc-4.1.2-threads (Roche). The initial Newbler assembly consisting of 26 contigs in one scaffold which was converted into a phrap assembly by [24] making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (967 Mb) was assembled with Velvet [25] 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 93.4 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 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 [23], Dupfinisher, or sequencing cloned bridging PCR fragments with subcloning or transposon bombing (Epicentre Biotechnologies, Madison, WI) [26]. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F.Chang, unpublished). A total of 124 additional reactions and one shatter library were necessary to close the 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 [27]. 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 365.7 × coverage of the genome. The final assembly contained 333,397 pyrosequence and 34,564,373 Illumina reads.

Genome annotation

Genes were identified using Prodigal [28] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [29]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant 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 [30].

Genome properties

The genome consists of a 3,685,504 bp long chromosome with a GC content of 38.9% (Table 3 and Figure 3). Of the 3,118 genes predicted, 3,054 were protein-coding genes, and 64 RNAs; 34 pseudogenes were also identified. The majority of the protein-coding genes (65.8%) 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)   3,685,504    100.00%
DNA coding region (bp)   3,225,817    87.53%
DNA G+C content (bp)   1,432,064    38.86%
Number of replicons   1
Extrachromosomal elements   0
Total genes   3,118    100.00%
RNA genes   64    2.05%
rRNA operons   3
Protein-coding genes   3,054    97.95%
Pseudo genes   34    1.09%
Genes with function prediction   2,051    65.78%
Genes in paralog clusters   325    10.42%
Genes assigned to COGs   2,005    64.30%
Genes assigned Pfam domains   2,205    70.72%
Genes with signal peptides   843    27.04%
Genes with transmembrane helices   784    25.14%
CRISPR repeats   2
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    149   6.8   Translation, ribosomal structure and biogenesis
A    0   0   RNA processing and modification
K    136   6.2   Transcription
L    101   4.6   Replication, recombination and repair
B    0   0   Chromatin structure and dynamics
D    22   1.0   Cell cycle control, cell division, chromosome partitioning
Y    0   0   Nuclear structure
V    48   2.2   Defense mechanisms
T    99   4.5   Signal transduction mechanisms
M    232   10.6   Cell wall/membrane/envelope biogenesis
N    8   0.4   Cell motility
Z    0   0   Cytoskeleton
W    0   0   Extracellular structures
U    40   1.8   Intracellular trafficking, secretion, and vesicular transport
O    80   3.7   Posttranslational modification, protein turnover, chaperones
C    108   5.0   Energy production and conversion
G    172   7.9   Carbohydrate transport and metabolism
E    166   7.6   Amino acid transport and metabolism
F    61   2.8   Nucleotide transport and metabolism
H    128   5.9   Coenzyme transport and metabolism
I    67   3.1   Lipid transport and metabolism
P    131   6.0   Inorganic ion transport and metabolism
Q    24   1.1   Secondary metabolites biosynthesis, transport and catabolism
R    256   11.7   General function prediction only
S    153   7.0   Function unknown
-    1,113   35.7   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.
  20 in total

1.  Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis.

Authors:  J Castresana
Journal:  Mol Biol Evol       Date:  2000-04       Impact factor: 16.240

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

Review 3.  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

4.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

5.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

6.  Phylogeny of numerically abundant culturable anaerobic bacteria associated with degradation of rice plant residue in Japanese paddy field soil.

Authors:  Hiroshi Akasaka; Tomoe Izawa; Katsuji Ueki; Atsuko Ueki
Journal:  FEMS Microbiol Ecol       Date:  2003-03-01       Impact factor: 4.194

7.  Paludibacter propionicigenes gen. nov., sp. nov., a novel strictly anaerobic, Gram-negative, propionate-producing bacterium isolated from plant residue in irrigated rice-field soil in Japan.

Authors:  Atsuko Ueki; Hiroshi Akasaka; Daisuke Suzuki; Katsuji Ueki
Journal:  Int J Syst Evol Microbiol       Date:  2006-01       Impact factor: 2.747

8.  The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata.

Authors:  Konstantinos Liolios; I-Min A Chen; Konstantinos Mavromatis; Nektarios Tavernarakis; Philip Hugenholtz; Victor M Markowitz; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2009-11-13       Impact factor: 16.971

9.  A phylogeny-driven genomic encyclopaedia of Bacteria and Archaea.

Authors:  Dongying Wu; Philip Hugenholtz; Konstantinos Mavromatis; Rüdiger Pukall; Eileen Dalin; Natalia N Ivanova; Victor Kunin; Lynne Goodwin; Martin Wu; Brian J Tindall; Sean D Hooper; Amrita Pati; Athanasios Lykidis; Stefan Spring; Iain J Anderson; Patrik D'haeseleer; Adam Zemla; Mitchell Singer; Alla Lapidus; Matt Nolan; Alex Copeland; Cliff Han; Feng Chen; Jan-Fang Cheng; Susan Lucas; Cheryl Kerfeld; Elke Lang; Sabine Gronow; Patrick Chain; David Bruce; Edward M Rubin; Nikos C Kyrpides; Hans-Peter Klenk; Jonathan A Eisen
Journal:  Nature       Date:  2009-12-24       Impact factor: 49.962

10.  The minimum information about a genome sequence (MIGS) specification.

Authors:  Dawn Field; George Garrity; Tanya Gray; Norman Morrison; Jeremy Selengut; Peter Sterk; Tatiana Tatusova; Nicholas Thomson; Michael J Allen; Samuel V Angiuoli; Michael Ashburner; Nelson Axelrod; Sandra Baldauf; Stuart Ballard; Jeffrey Boore; Guy Cochrane; James Cole; Peter Dawyndt; Paul De Vos; Claude DePamphilis; Robert Edwards; Nadeem Faruque; Robert Feldman; Jack Gilbert; Paul Gilna; Frank Oliver Glöckner; Philip Goldstein; Robert Guralnick; Dan Haft; David Hancock; Henning Hermjakob; Christiane Hertz-Fowler; Phil Hugenholtz; Ian Joint; Leonid Kagan; Matthew Kane; Jessie Kennedy; George Kowalchuk; Renzo Kottmann; Eugene Kolker; Saul Kravitz; Nikos Kyrpides; Jim Leebens-Mack; Suzanna E Lewis; Kelvin Li; Allyson L Lister; Phillip Lord; Natalia Maltsev; Victor Markowitz; Jennifer Martiny; Barbara Methe; Ilene Mizrachi; Richard Moxon; Karen Nelson; Julian Parkhill; Lita Proctor; Owen White; Susanna-Assunta Sansone; Andrew Spiers; Robert Stevens; Paul Swift; Chris Taylor; Yoshio Tateno; Adrian Tett; Sarah Turner; David Ussery; Bob Vaughan; Naomi Ward; Trish Whetzel; Ingio San Gil; Gareth Wilson; Anil Wipat
Journal:  Nat Biotechnol       Date:  2008-05       Impact factor: 54.908

View more
  13 in total

1.  Humic acids enhance the microbially mediated release of sedimentary ferrous iron.

Authors:  Chun-Han Chang; Chia-Cheng Wei; Li-Hung Lin; Tzu-Hsuan Tu; Vivian Hsiu-Chuan Liao
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-22       Impact factor: 4.223

Review 2.  Performance and Application of 16S rRNA Gene Cycle Sequencing for Routine Identification of Bacteria in the Clinical Microbiology Laboratory.

Authors:  Deirdre L Church; Lorenzo Cerutti; Antoine Gürtler; Thomas Griener; Adrian Zelazny; Stefan Emler
Journal:  Clin Microbiol Rev       Date:  2020-09-09       Impact factor: 26.132

3.  Genome Evolution and Nitrogen Fixation in Bacterial Ectosymbionts of a Protist Inhabiting Wood-Feeding Cockroaches.

Authors:  Vera Tai; Kevin J Carpenter; Peter K Weber; Christine A Nalepa; Steve J Perlman; Patrick J Keeling
Journal:  Appl Environ Microbiol       Date:  2016-07-15       Impact factor: 4.792

4.  Cultivable, Host-Specific Bacteroidetes Symbionts Exhibit Diverse Polysaccharolytic Strategies.

Authors:  Arturo Vera-Ponce de León; Benjamin C Jahnes; Jun Duan; Lennel A Camuy-Vélez; Zakee L Sabree
Journal:  Appl Environ Microbiol       Date:  2020-04-01       Impact factor: 4.792

5.  Compartmentalized microbial composition, oxygen gradients and nitrogen fixation in the gut of Odontotaenius disjunctus.

Authors:  Javier A Ceja-Navarro; Nhu H Nguyen; Ulas Karaoz; Stephanie R Gross; Donald J Herman; Gary L Andersen; Thomas D Bruns; Jennifer Pett-Ridge; Meredith Blackwell; Eoin L Brodie
Journal:  ISME J       Date:  2013-08-29       Impact factor: 10.302

6.  Complete genome sequence of Odoribacter splanchnicus type strain (1651/6).

Authors:  Markus Göker; Sabine Gronow; Ahmet Zeytun; Matt Nolan; Susan Lucas; Alla Lapidus; Nancy Hammon; Shweta Deshpande; Jan-Fang Cheng; Sam Pitluck; Konstantinos Liolios; Ioanna Pagani; Natalia Ivanova; Konstantinos Mavromatis; Galina Ovchinikova; Amrita Pati; Roxane Tapia; Cliff Han; Lynne Goodwin; Amy Chen; Krishna Palaniappan; Miriam Land; Loren Hauser; Cynthia D Jeffries; Evelyne-Marie Brambilla; Manfred Rohde; John C Detter; Tanja Woyke; James Bristow; Victor Markowitz; Philip Hugenholtz; Jonathan A Eisen; Nikos C Kyrpides; Hans-Peter Klenk
Journal:  Stand Genomic Sci       Date:  2011-04-29

7.  Distribution and evolution of nitrogen fixation genes in the phylum Bacteroidetes.

Authors:  Jun-ichi Inoue; Kenshiro Oshima; Wataru Suda; Mitsuo Sakamoto; Takao Iino; Satoko Noda; Yuichi Hongoh; Masahira Hattori; Moriya Ohkuma
Journal:  Microbes Environ       Date:  2015-01-16       Impact factor: 2.912

8.  Metaphylogenomic and potential functionality of the limpet Patella pellucida's gastrointestinal tract microbiome.

Authors:  Magda Dudek; Jessica Adams; Martin Swain; Matthew Hegarty; Sharon Huws; Joe Gallagher
Journal:  Int J Mol Sci       Date:  2014-10-20       Impact factor: 5.923

9.  Comparative Genomics of the Genus Porphyromonas Identifies Adaptations for Heme Synthesis within the Prevalent Canine Oral Species Porphyromonas cangingivalis.

Authors:  Ciaran O'Flynn; Oliver Deusch; Aaron E Darling; Jonathan A Eisen; Corrin Wallis; Ian J Davis; Stephen J Harris
Journal:  Genome Biol Evol       Date:  2015-11-13       Impact factor: 3.416

10.  Archaea and Bacteria Acclimate to High Total Ammonia in a Methanogenic Reactor Treating Swine Waste.

Authors:  Sofia Esquivel-Elizondo; Prathap Parameswaran; Anca G Delgado; Juan Maldonado; Bruce E Rittmann; Rosa Krajmalnik-Brown
Journal:  Archaea       Date:  2016-09-20       Impact factor: 3.273

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.