Literature DB >> 22768358

Complete genome sequence of the aquatic bacterium Runella slithyformis type strain (LSU 4(T)).

Alex Copeland, Xiaojing Zhang, Monica Misra, Alla Lapidus, Matt Nolan, Susan Lucas, Shweta Deshpande, Jan-Fang Cheng, Roxanne Tapia, Lynne A Goodwin, Sam Pitluck, Konstantinos Liolios, Ioanna Pagani, Natalia Ivanova, Natalia Mikhailova, Amrita Pati, Amy Chen, Krishna Palaniappan, Miriam Land, Loren Hauser, Chongle Pan, Cynthia D Jeffries, John C Detter, Evelyne-Marie Brambilla, Manfred Rohde, Olivier D Ngatchou Djao, Markus Göker, Johannes Sikorski, Brian J Tindall, Tanja Woyke, James Bristow, Jonathan A Eisen, Victor Markowitz, Philip Hugenholtz, Nikos C Kyrpides, Hans-Peter Klenk, Konstantinos Mavromatis.   

Abstract

Runella slithyformis Larkin and Williams 1978 is the type species of the genus Runella, which belongs to the Cytophagaceae, a family that was only recently classified to the order Cytophagales in the class Cytophagia. The species is of interest because it is able to grow at temperatures as low as 4°C. This is the first completed genome sequence of a member of the genus Runella and the sixth sequence from the family Cytophagaceae. The 6,919,729 bp long genome consists of a 6.6 Mbp circular genome and five circular plasmids of 38.8 to 107.0 kbp length, harboring a total of 5,974 protein-coding and 51 RNA genes and is a part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  Cytophagaceae; Cytophagia; GEBA; Gram-negative; chemoorganotrophic; non-motile; psychrotolerant; strictly aerobic

Year:  2012        PMID: 22768358      PMCID: PMC3387789          DOI: 10.4056/sigs.2475579

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


Introduction

Strain LSU 4T (= DSM 19594 = ATCC 29530 = NCIMB 11436) is the type strain of the species Runella slithyformis, which is the type species of its genus Runella [1,2]. The genus currently consists of four validly named species [3]. The genus name is derived from 'rune', a runic letter and the Latin diminutive ending 'ella', yielding the Neo-Latin word 'Runella', meaning 'that which resembles figures of the runic alphabet' [3]. The species epithet is derived from slithy, a nonsense word from Lewis Carroll's Jabberwocky for a fictional organism that is 'slithy' and the Latin word 'suffix' meaning '-like, in the shape of', yielding the Neo-Latin word 'slithyformis' meaning 'slithy in form' [3]. R. slithyformis strain LSU 4T was isolated from University Lake near Baton Rouge, Louisiana, USA, and described by Larkin and Williams in 1978 [1]. Another strain of R. slithyformis, termed strain 6, was isolated from Elbow Bayou near Baton Rouge [1]. Members of the genus Runella colonize diverse environmental habitats, preferentially aquatic ecosystems, including water bodies in Baton Rouge [1], a wastewater treatment plant in South-Korea [4], environmental water samples and their biofilms in Japan [5], and an activated sludge process involved in enhanced biological removal of phosphor in Korea [6]. Another species of this genus was also isolated from the stems of surface-sterilized maize [7]. Here we present a summary classification and a set of features for R. slithyformis strain LSU 4T, together with the description of the complete finished genome sequencing and annotation.

Classification and features

A representative genomic 16S rRNA sequence of R. slithyformis LSU 4T was compared using NCBI BLAST [8,9] under default settings (e.g., considering only the high-scoring segment pairs (HSPs) from the best 250 hits) with the most recent release of the Greengenes database [10] and the relative frequencies of taxa and keywords (reduced to their stem [11]) were determined, weighted by BLAST scores. The most frequently occurring genera were Runella (31.0%), Dyadobacter (30.3%), Cytophaga (13.7%), Cyclobacterium (7.5%) and Algoriphagus (4.0%) (51 hits in total). Regarding the single hit to sequences from members of the species, the average identity within HSPs was 99.2%, whereas the average coverage by HSPs was 96.9%. Regarding the two hits to sequences from other members of the genus, the average identity within HSPs was 95.0%, whereas the average coverage by HSPs was 91.1%. Among all other species, the one yielding the highest score was R. zeae (NR_025004), which corresponded to an identity of 95.0% and an HSP coverage of 91.1%. (Note that the Greengenes database uses the INSDC (= EMBL/NCBI/DDBJ) annotation, which is not an authoritative source for nomenclature or classification.) The highest-scoring environmental sequence was GQ480089 ('changes during sewage treated process activated sludge wastewater treatment plant clone BXHB50'), which showed an identity of 96.6% and an HSP coverage of 98.0%. The most frequently occurring keywords within the labels of all environmental samples which yielded hits were 'skin' (5.5%), 'soil' (2.1%), 'sludg' (2.0%), 'biofilm' (1.7%) and 'forearm, volar' (1.7%) (199 hits in total). While few of these keywords fit the aquatic and sludge environments from which strain LSU 4T originated, the majority of the hits point to human and even soil, which were, until now, not considered as habitats for R. slithyformis. However, environmental samples which yielded hits of a higher score than the highest scoring species were not found. Figure 1 shows the phylogenetic neighborhood of R. slithyformis LSU 4T in a 16S rRNA based tree. The sequences of the two identical 16S rRNA gene copies in the genome do not differ from the previously published 16S rRNA sequence (M62786), which contains 13 ambiguous base calls.
Figure 1

Phylogenetic tree highlighting the position of R. slithyformis relative to the type strains of the type species of the other genera within the family Cytophagaceae. The tree was inferred from 1,330 aligned characters [12,13] of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion [14]. Rooting was done initially using the midpoint method [15] and then checked for its agreement with the current classification (Table 1). The branches are scaled in terms of the expected number of substitutions per site. Numbers adjacent to the branches are support values from 400 ML bootstrap replicates [16] (left) and from 1,000 maximum parsimony bootstrap replicates [17] (right) if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [18] are labeled with one asterisk, those also listed as 'Complete and Published' with two asterisks [19-22].

Phylogenetic tree highlighting the position of R. slithyformis relative to the type strains of the type species of the other genera within the family Cytophagaceae. The tree was inferred from 1,330 aligned characters [12,13] of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion [14]. Rooting was done initially using the midpoint method [15] and then checked for its agreement with the current classification (Table 1). The branches are scaled in terms of the expected number of substitutions per site. Numbers adjacent to the branches are support values from 400 ML bootstrap replicates [16] (left) and from 1,000 maximum parsimony bootstrap replicates [17] (right) if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [18] are labeled with one asterisk, those also listed as 'Complete and Published' with two asterisks [19-22].
Table 1

Classification and general features of R. slithyformis LSU 4T according to the MIGS recommendations [24].

MIGS ID   Property   Term  Evidence code
   Domain Bacteria  TAS [25]
   Phylum Bacteroidetes  TAS [26,27]
   Class Cytophagia  TAS [27,28]
   Current classification   Order Cytophagales  TAS [2,29]
   Family Cytophagaceae  TAS [2,30]
   Genus Runella  TAS [1,2]
   Species Runella slithyformis  TAS [1,2]
MIGS-7   Subspecific genetic lineage (strain)   LSU 4T  TAS [1,2]
   Gram stain   negative  TAS [1]
   Cell shape   curved rod-shaped, rigid  TAS [1]
   Motility   non-motile  TAS [1]
   Sporulation   none  TAS [1]
   Temperature range   psychrotolerant mesophiles, grows at temperatures as low as 4°C  TAS [23]
   Optimum temperature   20°C-30°C  TAS [6]
   Salinity   no growth in the presence of NaCl (1.5%)  TAS [31]
MIGS-22   Relationship to oxygen   strictly aerobic  TAS [1]
   Carbon source   carbohydrates  TAS [1,23]
   Energy metabolism   chemoorganotroph  TAS [1]
MIGS-6   Habitat   fresh water  TAS [1]
MIGS-15   Biotic relationship   free living  NAS
MIGS-14   Known pathogenicity   none  NAS
MIGS-16   Specific host   none  NAS
   Biosafety level   1  TAS [32]
MIGS-23.1   Isolation   fresh water lake  TAS [1]
MIGS-4   Geographic location   University Lake, Baton Rouge, Louisiana, USA  TAS [1]
MIGS-5   Time of sample collection   1978 or before  TAS [1]
MIGS-4.1   Latitude   30.417  NAS
MIGS-4.2   Longitude   -91.167  NAS
MIGS-4.3   Depth   not reported
MIGS-4.4   Altitude   15 m  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 the Gene Ontology project. If the evidence code is IDA, then the property was directly observed for a living isolate by one of the authors or an expert mentioned in the acknowledgements [33].

The cells of strain LSU 4T are generally curved rods, with the degree of curvature of individual cells within a culture varying from nearly straight to crescent shape. Cell diameter varies from 0.5 to 0.9 µm, and the length from 2.0 to 3.0 µm [1]. With its curved rod shape, strain LSU 4T differs from other members of the genus, such as R. limosa which has long rods while R. zeae is bent rod-shaped [6]. On the MS agar medium used at the time of isolation, R. slithyformis rarely formed long spirals. However, Chelius and Triplett [23] reported the formation of long spirals by the strain LSU 4T when cells were allowed to grow in R2A broth medium (see Figure 2). Larkin and Williams [1] reported a possible production of filaments up to 14 µm in length, which are not coiled. This contrasts the findings of Chelius et al. [7] who described the cells of the strain LSU 4T as circular with swollen ends that would not form filaments. Rings with an outer diameter of 2.0 to 3.0 µm may also occur [1]. Colonies produced a pale pink, nondiffusible, nonfluorescent pigment on MS agar [1]. The strain LSU 4T is a Gram-negative bacterium (Table 1). Strain LSU 4T is non-motile, aerobic and chemoorganotrophic [1]. It does not grow on media with NaCl concentrations of 1.5% or higher [23]. This feature was similar to that of another member of this genus, R. zeae [7]. The temperature range for growth is between 4°C-37°C, with an optimum between 20°C-30°C [6]; the strain being unable to grow at temperatures above 37°C [23]. The sole carbon sources used by the strain LSU 4T for growth on MS agar are glycogen, D-arabitol, dulcitol, inositol, mannitol, sorbitol and sorbose, but the growth was weak except in the presence of glycogen [23]. Some of these features are however contradictory to the findings of Chelius et al. [7] whose attempt to grow the strain LSU 4T in the presence of glycogen in R2A medium was unsuccessful. Further detailed physiological insight, e.g., carbon source utilization in R2A medium, MS agar medium, or by the API 50 CH test, have been reported previously [7,23]. Also, resistance to a variety of antibiotics has been reported [7,23].
Figure 2

Scanning electron micrograph of R. slithyformis LSU 4T

Scanning electron micrograph of R. slithyformis LSU 4T 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 the Gene Ontology project. If the evidence code is IDA, then the property was directly observed for a living isolate by one of the authors or an expert mentioned in the acknowledgements [33].

Chemotaxonomy

The principal cellular fatty acids of strain LSU 4T are iso-C15:0 2-OH/C16:1ω7c (32.1%), iso-C15:0 (19.8%) and C16:1ω5c (16.5%) [23]. Minor fatty acids include C16:0 (7.1%), iso-C17:0 3-OH (7.0%), anteiso-C15:0 (4.3%), iso-C15:0 3-OH (4.1%), iso-C15:1 G (2.4%), C16:0 3-OH (2.0%), an unknown one (ECL 13.6) (1.83%) and C15:0 (1.5%) [23]. Major polar lipids were not reported for strain LSU 4T, but those of the genus Runella could be retrieved from R. defluvii strain EMB13T and R. limosa strain EMB111T [4,6].

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [34], and is part of the enomic ncyclopedia of acteria and rchaea project [35]. The genome project is deposited in the Genomes On Line Database [18] 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   Four genomic libraries: one 454 pyrosequence standard library,   two 454 PE libraries (2 kb and 11 kb insert sizes),   one Illumina library
MIGS-29   Sequencing platforms   Illumina GAii, 454 GS FLX Titanium
MIGS-31.2   Sequencing coverage   100.4 × Illumina; 28.2 × pyrosequence
MIGS-30   Assemblers   Newbler version 2.3, Velvet 0.7.63, phrap version SPS - 4.24
MIGS-32   Gene calling method   Prodigal 1.4, GenePRIMP
   INSDC ID   CP002859 (chromosome)   CP002860-64 (plasmids RUNSL01-05)
   Genbank Date of Release   August 16, 2011
   GOLD ID   Gc01829
   NCBI project ID   49125
   Database: IMG-GEBA   2505679030
MIGS-13   Source material identifier   DSM 19594
   Project relevance   Tree of Life, GEBA

Growth conditions and DNA isolation

R. slithyformis strain LSU 4T, DSM 19594, was grown in DSMZ medium 7 (Ancyclobacter-Spirosoma medium) [36] at 28°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. 2009 [35]. DNA is available through the DNA Bank Network [31].

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 [37]. Pyrosequencing reads were assembled using the Newbler assembler (Roche). The initial Newbler assembly consisting of 121 contigs in two scaffolds was converted into a phrap [38] assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (638.9 Mb) was assembled with Velvet [39] and the consensus sequences were shredded into 2.0 kb overlapped fake reads and assembled together with the 454 data. The 454 draft assembly was based on 206.2 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 [38] 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 [37], Dupfinisher [40], 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 289 additional reactions and 3 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 [41]. 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 128.6 × coverage of the genome. The final assembly contained 540,807 pyrosequence and 19,068,176 Illumina reads.

Genome annotation

Genes were identified using Prodigal [42] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [43]. 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 [44].

Genome properties

The genome consists of one circular chromosome with a length of 6,568,739 bp and a G+C content of 47%, and five circular plasmids with 38,784 bp, 44,754 bp, 66,926 bp, 93,527 bp and 106,999 bp length, respectively (Table 3 and Figure 3). Of the 6,025 genes predicted, 5,974 were protein-coding genes, and 51 RNAs; 182 pseudogenes were also identified. The majority of the protein-coding genes (59.7%) were assigned 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    Number   % of Total
Genome size (bp)    6,919,729   100.00%
DNA coding region (bp)    6,063,039   87.62%
DNA G+C content (bp)    3,212,364   46.42%
Number of replicons    6
Extrachromosomal elements    5
Total genes    6,025   100.00%
RNA genes    51   0.85%
rRNA operons    2
tRNA genes    43   0.71%
Protein-coding genes    5,974   99.15%
Pseudo genes    182   3.02%
Genes with function prediction    3,599   59.73%
Genes in paralog clusters    3,238   53.74%
Genes assigned to COGs    3,912   64.93%
Genes assigned Pfam domains    4,008   66.52%
Genes with signal peptides    1,748   29.01%
Genes with transmembrane helices    1,350   22.41%
CRISPR repeats    0
Figure 3

Graphical map of the circular chromosome (plasmids not shown, but accessible through the img/er pages on the JGI web pages [37]). From outside to 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   173  4.0   Translation, ribosomal structure and biogenesis
A   0  0.0   RNA processing and modification
K   338  7.8   Transcription
L   216  5.0   Replication, recombination and repair
B   1  0.2   Chromatin structure and dynamics
D   36  0.8   Cell cycle control, cell division, chromosome partitioning
Y   0  0.0   Nuclear structure
V   126  2.9   Defense mechanisms
T   272  6.3   Signal transduction mechanisms
M   372  8.6   Cell wall/membrane/envelope biogenesis
N   14  0.3   Cell motility
Z   1  0.0   Cytoskeleton
W   0  0.0   Extracellular structures
U   73  1.7   Intracellular trafficking, secretion, and vesicular transport
O   132  3.1   Posttranslational modification, protein turnover, chaperones
C   204  4.7   Energy production and conversion
G   351  8.1   Carbohydrate transport and metabolism
E   304  7.0   Amino acid transport and metabolism
F   86  2.0   Nucleotide transport and metabolism
H   161  3.7   Coenzyme transport and metabolism
I   158  3.7   Lipid transport and metabolism
P   226  5.2   Inorganic ion transport and metabolism
Q   99  2.3   Secondary metabolites biosynthesis, transport and catabolism
R   620  14.3   General function prediction only
S   372  8.6   Function unknown
-   2,113  35.1   Not in COGs
Graphical map of the circular chromosome (plasmids not shown, but accessible through the img/er pages on the JGI web pages [37]). From outside to 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.
  28 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

3.  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

4.  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

5.  List of Bacterial Names with Standing in Nomenclature: a folder available on the Internet.

Authors:  J P Euzéby
Journal:  Int J Syst Bacteriol       Date:  1997-04

6.  Genome sequence of the cellulolytic gliding bacterium Cytophaga hutchinsonii.

Authors:  Gary Xie; David C Bruce; Jean F Challacombe; Olga Chertkov; John C Detter; Paul Gilna; Cliff S Han; Susan Lucas; Monica Misra; Gerald L Myers; Paul Richardson; Roxanne Tapia; Nina Thayer; Linda S Thompson; Thomas S Brettin; Bernard Henrissat; David B Wilson; Mark J McBride
Journal:  Appl Environ Microbiol       Date:  2007-03-30       Impact factor: 4.792

7.  Runella defluvii sp. nov., isolated from a domestic wastewater treatment plant.

Authors:  Shipeng Lu; Jung Ro Lee; Seung Hyun Ryu; Bok Sil Chung; Woo-Seok Choe; Che Ok Jeon
Journal:  Int J Syst Evol Microbiol       Date:  2007-11       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.  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

10.  Complete genome sequence of Leadbetterella byssophila type strain (4M15).

Authors:  Birte Abt; Hazuki Teshima; Susan Lucas; Alla Lapidus; Tijana Glavina Del Rio; Matt Nolan; Hope Tice; Jan-Fang Cheng; Sam Pitluck; Konstantinos Liolios; Ioanna Pagani; Natalia Ivanova; Konstantinos Mavromatis; Amrita Pati; Roxane Tapia; Cliff Han; Lynne Goodwin; Amy Chen; Krishna Palaniappan; Miriam Land; Loren Hauser; Yun-Juan Chang; Cynthia D Jeffries; Manfred Rohde; Markus Göker; Brian J Tindall; John C Detter; Tanja Woyke; James Bristow; Jonathan A Eisen; Victor Markowitz; Philip Hugenholtz; Hans-Peter Klenk; Nikos C Kyrpides
Journal:  Stand Genomic Sci       Date:  2011-03-04
View more
  9 in total

1.  Characterization of Runella slithyformis HD-Pnk, a Bifunctional DNA/RNA End-Healing Enzyme Composed of an N-Terminal 2',3'-Phosphoesterase HD Domain and a C-Terminal 5'-OH Polynucleotide Kinase Domain.

Authors:  Annum Munir; Stewart Shuman
Journal:  J Bacteriol       Date:  2017-01-12       Impact factor: 3.490

2.  Community members in activated sludge as determined by molecular probe technology.

Authors:  Weihong Xu; Veronica R Brand; Sundari Suresh; Michael A Jensen; Ronald W Davis; Craig S Criddle; Robert P St Onge; Richard W Hyman
Journal:  Water Res       Date:  2019-10-10       Impact factor: 11.236

3.  High quality draft genome sequence and analysis of Pontibacter roseus type strain SRC-1(T) (DSM 17521(T)) isolated from muddy waters of a drainage system in Chandigarh, India.

Authors:  Supratim Mukherjee; Alla Lapidus; Nicole Shapiro; Jan-Fang Cheng; James Han; Tbk Reddy; Marcel Huntemann; Natalia Ivanova; Natalia Mikhailova; Amy Chen; Krishna Palaniappan; Stefan Spring; Markus Göker; Victor Markowitz; Tanja Woyke; Brian J Tindall; Hans-Peter Klenk; Nikos C Kyrpides; Amrita Pati
Journal:  Stand Genomic Sci       Date:  2015-02-09

4.  Plasmids of psychrophilic and psychrotolerant bacteria and their role in adaptation to cold environments.

Authors:  Lukasz Dziewit; Dariusz Bartosik
Journal:  Front Microbiol       Date:  2014-11-06       Impact factor: 5.640

5.  Draft Genome Sequence of Cellulose-Digesting Bacterium Sporocytophaga myxococcoides PG-01.

Authors:  Lin Liu; Peiji Gao; Guanjun Chen; Lushan Wang
Journal:  Genome Announc       Date:  2014-11-20

6.  Genome-Based Taxonomic Classification of Bacteroidetes.

Authors:  Richard L Hahnke; Jan P Meier-Kolthoff; Marina García-López; Supratim Mukherjee; Marcel Huntemann; Natalia N Ivanova; Tanja Woyke; Nikos C Kyrpides; Hans-Peter Klenk; Markus Göker
Journal:  Front Microbiol       Date:  2016-12-20       Impact factor: 5.640

7.  Biochemical but not compositional recovery of skin mucosal microbiome communities after disruption.

Authors:  Chelcy E Brumlow; Ruth A Luna; Emily B Hollister; Javier A Gomez; Lindsey A Burcham; Madison B Cowdrey; Todd P Primm
Journal:  Infect Drug Resist       Date:  2019-02-13       Impact factor: 4.003

8.  Toxicity and modulation of silver nanoparticles synthesized using abalone viscera hydrolysates on bacterial community in aquatic environment.

Authors:  Yue Zhang; Zhuan Yang; Jing Ni; Ying Ma; Hejian Xiong; Wenjie Jian
Journal:  Front Microbiol       Date:  2022-08-30       Impact factor: 6.064

9.  Plasmid diversity in arctic strains of Psychrobacter spp.

Authors:  Lukasz Dziewit; Adrian Cegielski; Krzysztof Romaniuk; Witold Uhrynowski; Antoni Szych; Pawel Niesiobedzki; Magdalena J Zmuda-Baranowska; Marek K Zdanowski; Dariusz Bartosik
Journal:  Extremophiles       Date:  2013-03-12       Impact factor: 2.395

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.