Literature DB >> 24501647

Genome sequence of Frateuria aurantia type strain (Kondô 67(T)), a xanthomonade isolated from Lilium auratium Lindl.

Iain Anderson1, Huzuki Teshima2, Matt Nolan1, Alla Lapidus3, Hope Tice1, Tijana Glavina Del Rio1, Jan-Fang Cheng1, Cliff Han2, Roxanne Tapia2, Lynne A Goodwin2, Sam Pitluck1, Konstantinos Liolios1, Konstantinos Mavromatis1, Ioanna Pagani1, Natalia Ivanova1, Natalia Mikhailova1, Amrita Pati1, Amy Chen4, Krishna Palaniappan4, Miriam Land5, Manfred Rohde6, Elke Lang7, John C Detter2, Markus Göker7, Tanja Woyke1, James Bristow1, Jonathan A Eisen8, Victor Markowitz4, Philip Hugenholtz9, Nikos C Kyrpides1, Hans-Peter Klenk7.   

Abstract

Frateuria aurantia (ex Kondô and Ameyama 1958) Swings et al. 1980 is a member of the bispecific genus Frateuria in the family Xanthomonadaceae, which is already heavily targeted for non-type strain genome sequencing. Strain Kondô 67(T) was initially (1958) identified as a member of 'Acetobacter aurantius', a name that was not considered for the approved list. Kondô 67(T) was therefore later designated as the type strain of the newly proposed acetogenic species Frateuria aurantia . The strain is of interest because of its triterpenoids (hopane family). F. aurantia Kondô 67(T) is the first member of the genus Frateura whose genome sequence has been deciphered, and here we describe the features of this organism, together with the complete genome sequence and annotation. The 3,603,458-bp long chromosome with its 3,200 protein-coding and 88 RNA genes is a part of the G enomic E ncyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  GEBA; Xanthomonadaceae; acetogenic; mesophilic; motile; rod-shaped; strictly aerobic; ‘Acetobacter aurantius’

Year:  2013        PMID: 24501647      PMCID: PMC3910546          DOI: 10.4056/sigs.4338002

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


Introduction

Strain Kondô 67T, also known as G-6T and as IFO 3245T (= DSM 6220 = ATCC 33424 = NBRC 3245) is the type strain of the species [1], the type species in the bispecific genus [1]. Kondô 67T was originally isolated from Lilium auratum Lindl and classified as a member of ‘’ from which it was reclassified 22 years later as the type strain of the type species of [1]. The genus was named after the Belgian microbiologist Joseph Frateur (1903-1974) [1]; the species epithet is derived from the Neo-Latin adjective aurantia, referring to the gold-yellow color of the strain on MYP agar [1]. Strain Kondô 67T was characterized as ‘acetogenic’ [2] and as containing triterpenoids of the hopane family [3]. Here we present a summary classification and a set of features for Kondô 67T, together with the description of the genomic sequencing and annotation.

Classification and features

A representative genomic 16S rRNA gene sequence of strain Kondô 67T was compared using NCBI BLAST [4,5] 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 [6] and the relative frequencies of taxa and keywords (reduced to their stem [7]) were determined, weighted by BLAST scores. The most frequently occurring genera were (34.3%), (24.0%), (19.6%), (11.9%) and 'Luteibactor' (3.7%) (105 hits in total). Regarding the eleven hits to sequences from members of the species, the average identity within HSPs was 99.6%, whereas the average coverage by HSPs was 100.0%. Among all other species, the one yielding the highest score was (EF191354), which corresponded to an identity of 98.2% and an HSP coverage of 99.0%. (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 HM556321 ('insect herbivore microbiome plant biomass-degrading capacity Atta colombica colony N11 fungus garden top clone TIBW663'), which showed an identity of 99.7% and an HSP coverage of 97.2%. The most frequently occurring keywords within the labels of all environmental samples which yielded hits were 'soil' (5.9%), 'sediment' (2.5%), 'microbi' (1.8%), 'enrich' (1.5%) and 'vent' (1.3%) (145 hits in total). The most frequently occurring keyword within the labels of those environmental samples which yielded hits of a higher score than the highest scoring species was 'atta, biomass-degrad, capac, colombica, coloni, fungu, garden, herbivor, insect, microbiom, plant, top' (8.3%) (6 hits in total), reflecting some of the known features of the strain’s origin. Figure 1 shows the phylogenetic neighborhood of in a 16S rRNA based tree. The sequences of the four identical 16S rRNA gene copies in the genome differ by one nucleotide from the previously published 16S rRNA sequence (AB091194).
Figure 1

Phylogenetic tree highlighting the position of relative to the type strains of the other species within the family . The tree was inferred from 1,431 aligned characters [8,9] of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion [10]. Rooting was done initially using the midpoint method [11] 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 750 ML bootstrap replicates [12] (left) and from 1,000 maximum-parsimony bootstrap replicates [13] (right) if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [14] are labeled with one asterisk, those also listed as 'Complete and Published' with two asterisks.

Phylogenetic tree highlighting the position of relative to the type strains of the other species within the family . The tree was inferred from 1,431 aligned characters [8,9] of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion [10]. Rooting was done initially using the midpoint method [11] 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 750 ML bootstrap replicates [12] (left) and from 1,000 maximum-parsimony bootstrap replicates [13] (right) if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [14] are labeled with one asterisk, those also listed as 'Complete and Published' with two asterisks.
Table 1

Classification and general features of Kondô 67T according to the MIGS recommendations [15] (published by the Genome Standards Consortium [16]) and NamesforLife [17].

MIGS ID       Property       Term       Evidence code
       Current classification       Domain Bacteria       TAS [18]
       Phylum Proteobacteria       TAs [19]
       Class Gammaproteobacteria       TAS [20,21]
       Order Xanthomonadales       TAS [20,22]
       Family Xanthomonadaceae       TAS [20,22]
       Genus Frateuria       TAS [1,23]
       Species Frateuria aurantia       TAS [1]
       Type strain Kondô 67 = G-6 = IFO 3245       TAS [1]
       Gram stain       negative       TAS [1]
       Cell shape       rod-shaped, mostly strait       TAS [1]
       Motility       motile       TAS [1]
       Sporulation       not reported
       Temperature range       mesophile       TAS [1]
       Optimum temperature       30°C       TAS [1]
       Salinity       0.2 - 2% NaCl (w/v)       TAS [1]
MIGS-22       Oxygen requirement       aerobe       TAS [1]
       Carbon source       glucose, yeast extract, mannitol, peptone       TAS [1]
       Energy metabolism       organoheterotroph       TAS [1]
MIGS-6       Habitat       Lilium auratum       TAS [1]
MIGS-15       Biotic relationship       host-associated       TAS [1]
MIGS-14       Pathogenicity       none       NAS
       Biosafety level       1       TAS [24]
MIGS-23.1       Isolation       from Lilium auratum Lindl       TAS [25]
MIGS-4       Geographic location       Kawasaki, Japan       TAS [1]
MIGS-5       Sample collection time       1958 or before       TAS [25]
MIGS-4.1       Latitude       35.50       TAS [1]
MIGS-4.2       Longitude       139.77       TAS [1]
MIGS-4.3       Depth       not reported
MIGS-4.4       Altitude       not reported

Evidence codes - TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). Evidence codes are from the Gene Ontology project [26].

Evidence codes - TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). Evidence codes are from the Gene Ontology project [26]. Kondô 67T cells stain Gram-negative [1], were straight rod shaped, 0.5-0.7 μm in width and 0.7-3.5 μm in length (Figure 2) [1] and motile via polar flagella [1] (not visible in Figure 2). Cells occur singly or in pairs, rarely in filaments [1]. Cultures grow in dark, glistening, flat colonies with a soluble brown pigment [1]. They are oxidase positive and catalase negative [1]; physiological features and antibiotic susceptibilities were reported in great detail in [1]. Cells grow well at pH 3.6 and 34°C [1].
Figure 2

Scanning electron micrograph of Kondô 67T

Scanning electron micrograph of Kondô 67T

Chemotaxonomy

Besides trace amounts of diploptene and rearranged compounds like fern-7-ene [3], the main lipids isolated from DSM 6220T are iso-branched fatty acids and triterpenoids of the hopane family, such as bacteriohopanetetrol and derived hopanoid. The organism also produces ubiquinone Q8 [27].

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [28], and is part of the enomic ncyclopedia of and project [29]. The genome project is deposited in the Genomes On Line Database [14] and the complete genome sequence is deposited in GenBank. Sequencing, finishing and annotation were performed by the DOE Joint Genome Institute (JGI) using state of the art sequencing technology [30]. 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     Two genomic libraries: one 454 PE library (7.5 kb insert size), one Illumina library
MIGS-29      Sequencing platforms     Illumina GAii, 454 GS FLX Titanium
MIGS-31.2      Sequencing coverage     537.4 × Illumina; 8.6 × pyrosequence
MIGS-30      Assemblers     Newbler version 2.3-PreRelease-6/30/2009, Velvet 1.0.13, phrap version SPS - 4.24
MIGS-32      Gene calling method     Prodigal
      INSDC ID     CP003350
      GenBank Date of Release     June 14, 2012
      GOLD ID     Gc02155
      NCBI project ID     64505
      Database: IMG     2509601034
MIGS-13      Source material identifier     DSM 6220
      Project relevance     Tree of Life, GEBA

Growth conditions and DNA isolation

strain Kondô 67T, DSM 6220, was grown in DSMZ medium 360 (YPM medium) [31] at 30°C. DNA was isolated from 0.5-1 g of cell paste using standard procedures at the DSMZ DNA laboratory and quality control processes requested by the sequencing center (JGI). DNA is available through the DNA Bank Network [32].

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 [33]. Pyrosequencing reads were assembled using the Newbler assembler (Roche). The initial Newbler assembly consisting of 36 contigs in one scaffold was converted into a phrap [34] assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (2,074.3 Mb) was assembled with Velvet [35] 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 63.7Mb 454 draft data. Newbler parameters are -consed -a 50 -l 350 -g -m -ml 20. The Phred/Phrap/Consed software package [34] 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 [33], Dupfinisher [36], 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 43 additional reactions and one shatter library were necessary to close gaps and to raise the quality of the final sequence. Illumina reads were also used to correct potential base errors and increase consensus quality using a software Polisher developed at JGI [37]. The error rate of the final genome sequence is less than 1 in 100,000. Together, the combination of the Illumina and 454 sequencing platforms provided 546.0 × coverage of the genome. The final assembly contained 163,130 pyrosequence and 25,455,174 Illumina reads.

Genome annotation

Genes were identified using Prodigal [38] as part of the DOE-JGI [39] genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [40]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) non-redundant database, UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. These data sources were combined to assert a product description for each predicted protein. Additional gene prediction analysis and functional annotation were performed within the Integrated Microbial Genomes - Expert Review (IMG-ER) platform [41].

Genome properties

The genome consists of a 3,603,458 bp long circular chromosome with a G+C content of 63.4% (Table 3 and Figure 3). Of the 3,288 genes predicted, 3,200 were protein-coding genes, and 88 RNAs; 99 pseudogenes were also identified. The majority of the protein-coding genes (79.6%) 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     Value       % of Total
Genome size (bp)     3,603,458       100.00%
DNA coding region (bp)     3,189,580       88.51%
DNA G+C content (bp)     2,284,441       63.40%
Number of replicons     1
Extrachromosomal elements     0
Total genes     3,288       100.00%
RNA genes     88       2.68%
rRNA operons     4
tRNA genes     73       2.22%
Protein-coding genes     3,200       97.32%
Pseudo genes     99       3.01%
Genes with function prediction (proteins)     2,616       79.56%
Genes in paralog clusters     1,350       41.06%
Genes assigned to COGs     2,610       79.38%
Genes assigned Pfam domains     2,724       82.85%
Genes with signal peptides     313       9.52%
Genes with transmembrane helices     722       21.96%
CRISPR repeats     1
Figure 3

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

Table 4

Number of genes associated with the general COG functional categories

Code       value       %age        Description
J       167       5.7        Translation, ribosomal structure and biogenesis
A       1       0.0        RNA processing and modification
K       192       6.6        Transcription
L       145       5.0        Replication, recombination and repair
B       1       0.0        Chromatin structure and dynamics
D       30       1.0        Cell cycle control, cell division, chromosome partitioning
Y       0       0.0        Nuclear structure
V       56       1.9        Defense mechanisms
T       129       4.4        Signal transduction mechanisms
M       214       7.3        Cell wall/membrane biogenesis
N       92       3.1        Cell motility
Z       0       0.0        Cytoskeleton
W       0       0.0        Extracellular structures
U       112       3.8        Intracellular trafficking and secretion, and vesicular transport
O       133       4.5        Posttranslational modification, protein turnover, chaperones
C       186       6.4        Energy production and conversion
G       170       5.8        Carbohydrate transport and metabolism
E       209       7.1        Amino acid transport and metabolism
F       68       2.3        Nucleotide transport and metabolism
H       143       4.9        Coenzyme transport and metabolism
I       101       3.5        Lipid transport and metabolism
P       146       5.0        Inorganic ion transport and metabolism
Q       63       2.2        Secondary metabolites biosynthesis, transport and catabolism
R       323       11.0        General function prediction only
S       246       8.4        Function unknown
-       678       20.6        Not in COGs
Graphical map of the chromosome. From outside to center: Genes on forward strand (colored by COG categories), Genes on reverse strand (colored by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content(black), GC skew (purple/olive).
  22 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.  Isolation and phylogenetic characterization of acidophilic microorganisms indigenous to acidic drainage waters at an abandoned Norwegian copper mine.

Authors:  D B Johnson; S Rolfe; K B Hallberg; E Iversen
Journal:  Environ Microbiol       Date:  2001-10       Impact factor: 5.491

7.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

8.  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

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.  The Genomic Standards Consortium.

Authors:  Dawn Field; Linda Amaral-Zettler; Guy Cochrane; James R Cole; Peter Dawyndt; George M Garrity; Jack Gilbert; Frank Oliver Glöckner; Lynette Hirschman; Ilene Karsch-Mizrachi; Hans-Peter Klenk; Rob Knight; Renzo Kottmann; Nikos Kyrpides; Folker Meyer; Inigo San Gil; Susanna-Assunta Sansone; Lynn M Schriml; Peter Sterk; Tatiana Tatusova; David W Ussery; Owen White; John Wooley
Journal:  PLoS Biol       Date:  2011-06-21       Impact factor: 8.029

View more
  1 in total

1.  Complete Genome Sequence of Xylella taiwanensis and Comparative Analysis of Virulence Gene Content With Xylella fastidiosa.

Authors:  Ling-Wei Weng; Yu-Chen Lin; Chiou-Chu Su; Ching-Ting Huang; Shu-Ting Cho; Ai-Ping Chen; Shu-Jen Chou; Chi-Wei Tsai; Chih-Horng Kuo
Journal:  Front Microbiol       Date:  2021-05-21       Impact factor: 5.640

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.