Literature DB >> 21475586

Complete genome sequence of Bacteroides helcogenes type strain (P 36-108).

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

Abstract

Bacteroides helcogenes Benno et al. 1983 is of interest because of its isolated phylogenetic location and, although it has been found in pig feces and is known to be pathogenic for pigs, occurrence of this bacterium is rare and it does not cause significant damage in intensive animal husbandry. The genome of B. helcogenes P 36-108(T) is already the fifth completed and published type strain genome from the genus Bacteroides in the family Bacteroidaceae. The 3,998,906 bp long genome with its 3,353 protein-coding and 83 RNA genes consists of one circular chromosome and is a part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  Bacteroidaceae; GEBA; Gram-negative; animal pathogen; chemoorganotrophic; mesophilic; nonmotile; pig abscess; strictly anaerobic

Year:  2011        PMID: 21475586      PMCID: PMC3072090          DOI: 10.4056/sigs.1513795

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


Introduction

Strain P 36-108T (= DSM 20613 = ATCC 35417 = JCM 6297) is the type strain of Bacteroides helcogenes, one of currently 39 species in the genus Bacteroides [1,2]. The species epithet of B. helcogenes is derived from the Greek noun helkos meaning ‘abscess’ and the Greek verb gennaio meaning ‘produce’, referring to the pathogenic, probably intestinal, abscess-producing properties of the species [2]. B. helcogenes strain P36-108T was isolated from a pig abscess in Japan, and described by Benno et al. in 1983 [2]. Nine further isolates of B. helcogenes have been obtained from pig abscesses whereas two other isolates originated from pig feces. Here we present a summary classification and a set of features for B. helcogenes P 36-108T, together with the description of the complete genomic sequencing and annotation.

Classification and features

A representative genomic 16S rRNA sequence of B. helcogenes was compared using NCBI BLAST under default values (e.g., considering only the high-scoring segment pairs (HSPs) from the best 250 hits) with the most recent release of the Greengenes database [3] and the relative frequencies, weighted by BLAST scores, of taxa and keywords (reduced to their stem [4]) were determined. The single most frequent genus was Bacteroides (100%) (33 hits in total). Regarding the 21 hits to sequences from other members of the genus, the average identity within HSPs was 92.7%, whereas the average coverage by HSPs was 84.5%. Among all other species, the one yielding the highest score was Bacteroides ovatus, which corresponded to an identity of 93.4% and a HSP coverage of 86.6%. The highest-scoring environmental sequence was AM275453 ('fecal microbiota irritable bowel syndrome patients differs significantly from that of healthy subjects'), which showed an identity of 95.5% and a HSP coverage of 84.3%. The most frequently occurring keywords within the labels of environmental samples which yielded hits were 'human' (11.0%), 'fecal' (9.5%), 'microbiota' (8.8%), 'sequenc' (5.4%) and 'gut' (5.4%) (217 hits in total). The most frequently occurring keywords within the labels of environmental samples which yielded hits of a higher score than the highest scoring species were 'fecal/human' (13.3%), 'feedlot' (5.2%), 'bowel, faecal, healthi, irrit, microbiota, patient, significantli, subject, syndrom' (2.7%) and 'beef, cattl, coli, escherichia, feedbunk, habitat, marc, materi, neg, pen, primari, secondari, stec, surfac, synecolog, top, west' (2.6%) (6 hits in total). Most of these keywords are in accordance with the isolation sites of the different isolates and strongly suggest that B. helcogenes, like many other species of the genus Bacteroides, is associated with the intestinal tract of the host in the case of B. helcogenes, this host is the pig [2]. Figure 1 shows the phylogenetic neighborhood of B. helcogenes P 36-108T in a 16S rRNA based tree. The sequences of the five 16S rRNA gene copies in the genome differ from each other by up to 20 nucleotides, and differ by up to 13 nucleotides from the previously published 16S rRNA sequence (AB200227).
Figure 1

Phylogenetic tree highlighting the position of B. helcogenes relative to those type strains within the genus that appeared within a monophyletic Bacteroides main clade in preliminary analyses. Note that several of the Bacteroides type strain 16S rRNA sequences (from B. cellulosolvens, B. galacturonicus, B. pectinophilus, B. vulgatus) did not cluster together with this clade (data not shown, but see [5]) and were omitted from the main phylogenetic inference analysis. The same holds for the sequence from Anaerorhabdus furcosa (GU585668; also Bacteroidaceae). Other Bacteroides species lacked a sufficiently long 16S rRNA sequence and also had to be omitted (B. coagulans, B. xylanolyticus). The tree was inferred from 1,414 aligned characters [6,7] of the 16S rRNA gene sequence under the maximum likelihood criterion [8] and rooted with the type strain of the family 'Prevotellaceae'. The branches are scaled in terms of the expected number of substitutions per site. Numbers above branches are support values from 1,000 bootstrap replicates [9] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [10] are shown in blue, published genomes [11] and Prevotella melaninogenica released Genbank accession CP002122 in bold.

Phylogenetic tree highlighting the position of B. helcogenes relative to those type strains within the genus that appeared within a monophyletic Bacteroides main clade in preliminary analyses. Note that several of the Bacteroides type strain 16S rRNA sequences (from B. cellulosolvens, B. galacturonicus, B. pectinophilus, B. vulgatus) did not cluster together with this clade (data not shown, but see [5]) and were omitted from the main phylogenetic inference analysis. The same holds for the sequence from Anaerorhabdus furcosa (GU585668; also Bacteroidaceae). Other Bacteroides species lacked a sufficiently long 16S rRNA sequence and also had to be omitted (B. coagulans, B. xylanolyticus). The tree was inferred from 1,414 aligned characters [6,7] of the 16S rRNA gene sequence under the maximum likelihood criterion [8] and rooted with the type strain of the family 'Prevotellaceae'. The branches are scaled in terms of the expected number of substitutions per site. Numbers above branches are support values from 1,000 bootstrap replicates [9] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [10] are shown in blue, published genomes [11] and Prevotella melaninogenica released Genbank accession CP002122 in bold. The cells of B. helcogenes generally have the shape of short rods (0.5-0.6 μm × 0.8-4.0 µm) which occur singly or in pairs (Figure 2). B. helcogenes is a Gram-negative, non-pigmented and non spore-forming bacterium (Table 1). The organism is originally described as nonmotile and only five genes associated with motility have been found in the genome (see below). The organism grows well at 37°C but does not grow at 4°C or at 45°C [2]. B. helcogenes is strictly anaerobic, chemoorganotrophic and is able to ferment glucose, mannose, fructose, galactose, sucrose, maltose, cellobiose, lactose, xylose, melibiose, raffinose, starch, glycogen, salicin, amygdalin, and xylan [2]. The organism hydrolyzes esculin and starch but does not digest casein, liquify gelatin, reduce nitrate nor produce indole from tryptophan [2]. B. helcogenes does not utilize arabinose, ramnose, ribose, trehalose, inulin, glycerol, mannitol, sorbitol, inositol, adonitol, erythritol or gum Arabic [2]. It does not require hemin for growth but does require the presence of CO2; it does not show hemolysis. Growth is not enhanced by the addition of 20% bile [2]. Major fermentation products from PYFG broth (peptone yeast extract Fildes glucose broth [26]) are acetic acid and succinic acid; propionic and isobutyric acid are produced in small amounts [2]. B. helcogenes is phosphatase, DNase, β-glucuronidase, and glutamic acid decarboxylase active and urease, catalase, lecithinase and lipase inactive [2]. The organism produces ammonium and chondroitin sulfatase [2]. B. helcogenes can grow in the presence of kanamycin (1mg/ml), vancomycin (10 µg/ml), colistin (10 µg/ml), erythromycin (60 µg/ml) or polymyxin B (10 µg/ml) but not in the presence of cepharothin (10 µg/ml) or Brilliant green (0.001%) [2].
Figure 2

Scanning electron micrograph of B. helcogenes P 36-108T

Table 1

Classification and general features of B. helcogenes P 36-108T according to the MIGS recommendations [12].

MIGS ID    Property    Term    Evidence code
    Current classification    Domain Bacteria    TAS [13]
    Phylum Bacteroidetes    TAS [14]
    Class 'Bacteroidia'    TAS [15]
    Order 'Bacteroidales'    TAS [16]
    Family Bacteroidaceae    TAS [17,18]
    Genus Bacteroides    TAS [17,19-22]
    Species Bacteroides helcogenes    TAS [2,23]
    Type strain P 36-108    TAS [2]
    Gram stain    negative    TAS [2]
    Cell shape    rod-shaped, single or in pairs    TAS [2]
    Motility    non-motile    TAS [2]
    Sporulation    none    TAS [2]
    Temperature range    mesophile    TAS [2]
    Optimum temperature    37°C    TAS [2]
    Salinity    normal    TAS [2]
MIGS-22    Oxygen requirement    strictly anaerobic    TAS [2]
    Carbon source    carbohydrates    TAS [2]
    Energy source    chemoorganotroph    TAS [2]
MIGS-6    Habitat    host    TAS [2]
MIGS-15    Biotic relationship    free-living    TAS [2]
MIGS-14    Pathogenicity    animal pathogen    TAS [2]
    Biosafety level    2    TAS [24]
    Isolation    Sus scrofa abscess    TAS [2]
MIGS-4    Geographic location    Japan    TAS [2]
MIGS-5    Sample collection time    1974    TAS [2]
MIGS-4.1    Latitude    not reported    NAS
MIGS-4.2    Longitude    not reported    NAS
MIGS-4.3    Depth    not reported    NAS
MIGS-4.4    Altitude    not reported    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 [25]. 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 B. helcogenes P 36-108T 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 [25]. 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 information is available for strain P 36-108T. Thus far, only the fatty acid composition has been elucidated. The major fatty acids found (>10%) were anteiso-C15:0, C15:0 and iso-C15:0.3-OH. Also, iso-C15:0, C16:0, and cis C18:1 were detected in a proportion ranging between 5% to 10% of the total fatty acids (unpublished data).

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [27], and is part of the enomic ncyclopedia of acteria and rchaea project [28]. The genome project is deposited in the Genomes OnLine Database [10] 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    56.3 × Illumina; 36.7 × pyrosequence
MIGS-30    Assemblers    Newbler version 2.3-PreRelease-10-21-2009-gcc-4.1.2-threads,    Velvet, phrap
MIGS-32    Gene calling method    Prodigal 1.4, GenePRIMP
    INSDC ID    CP002352
    Genbank Date of Release    January 18, 2011
    GOLD ID    Gc01593
    NCBI project ID    41913
    Database: IMG-GEBA    2503538016
MIGS-13    Source material identifier    DSM 20613
    Project relevance    Tree of Life, GEBA

Growth conditions and DNA isolation

B. helcogenes P 36-108T, DSM 20613, was grown anaerobically in medium 104 (PYG Medium) [29] at 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. [28]. DNA is available through the DNA Bank Network [30,31].

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 [32]. 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 48 contigs in two scaffolds was converted into a phrap assembly by [33] making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (225.3 Mb) was assembled with Velvet [34] 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 146.7 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 [33] 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 [32], Dupfinisher [35], or sequencing cloned bridging PCR fragments with subcloning or transposon bombing (Epicentre Biotechnologies, Madison, WI). Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F.Chang, unpublished). A total of 160 additional reactions and 4 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 [36]. 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 93 × coverage of the genome. The final assembly contained 500,148 pyrosequence and 6,257,254 Illumina reads.

Genome annotation

Genes were identified using Prodigal [37] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [38]. 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 [39].

Genome properties

The genome consists of a 3,998,906 bp long chromosome with a GC content of 44.7% (Table 3 and Figure 3). Of the 3,436 genes predicted, 3,353 were protein-coding genes, and 83 RNAs; 109 pseudogenes were also identified. The majority of the protein-coding genes (64.5%) 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)    3,998,906     100.00%
    DNA coding region (bp)    3,583,947     89.62%
    DNA G+C content (bp)    1,788,209     44.72%
    Number of replicons    1     100.00%
    Extrachromosomal elements    0
    Total genes    3,436     100.00%
    RNA genes    83     2.42%
    rRNA operons    5
    Protein-coding genes    3,353     97.58%
    Pseudo genes    109     3.17%
    Genes with function prediction    2,215     64.46%
    Genes in paralog clusters    454     13.21%
    Genes assigned to COGs    2103     61.20%
    Genes assigned Pfam domains    2360     68.68%
    Genes with signal peptides    980     28.52%
    Genes with transmembrane helices    798     23.22%
    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   147   6.5      Translation, ribosomal structure and biogenesis
A   0   0      RNA processing and modification
K   157   6.9      Transcription
L   125   5.5      Replication, recombination and repair
B   0   0      Chromatin structure and dynamics
D   20   0.9      Cell cycle control, cell division, chromosome partitioning
Y   0   0      Nuclear structure
V   67   2.9      Defense mechanisms
T   125   5.5      Signal transduction mechanisms
M   245   10.8      Cell wall/membrane/envelope biogenesis
N   5   0.2      Cell motility
Z   0   0      Cytoskeleton
W   0   0      Extracellular structures
U   48   2.1      Intracellular trafficking, secretion, and vesicular transport
O   66   2.9      Posttranslational modification, protein turnover, chaperones
C   120   5.3      Energy production and conversion
G   185   8.1      Carbohydrate transport and metabolism
E   149   6.5      Amino acid transport and metabolism
F   67   2.9      Nucleotide transport and metabolism
H   120   5.3      Coenzyme transport and metabolism
I   64   2.8      Lipid transport and metabolism
P   161   7.6      Inorganic ion transport and metabolism
Q   20   0.9      Secondary metabolites biosynthesis, transport and catabolism
R   266   11.7      General function prediction only
S   122   5.4      Function unknown
-   1,333   38.8      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.
  21 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.  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

3.  Multiple sequence alignment using partial order graphs.

Authors:  Christopher Lee; Catherine Grasso; Mark F Sharlow
Journal:  Bioinformatics       Date:  2002-03       Impact factor: 6.937

4.  PREPARATION OF TRANSFORMING DEOXYRIBONUCLEIC ACID BY PHENOL TREATMENT.

Authors:  H SAITO; K I MIURA
Journal:  Biochim Biophys Acta       Date:  1963-08-20

5.  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 6.  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

7.  A rapid bootstrap algorithm for the RAxML Web servers.

Authors:  Alexandros Stamatakis; Paul Hoover; Jacques Rougemont
Journal:  Syst Biol       Date:  2008-10       Impact factor: 15.683

8.  IMG ER: a system for microbial genome annotation expert review and curation.

Authors:  Victor M Markowitz; Konstantinos Mavromatis; Natalia N Ivanova; I-Min A Chen; Ken Chu; Nikos C Kyrpides
Journal:  Bioinformatics       Date:  2009-06-27       Impact factor: 6.937

9.  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

10.  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

View more
  4 in total

1.  Discovery of β-1,4-D-mannosyl-N-acetyl-D-glucosamine phosphorylase involved in the metabolism of N-glycans.

Authors:  Takanori Nihira; Erika Suzuki; Motomitsu Kitaoka; Mamoru Nishimoto; Ken'ichi Ohtsubo; Hiroyuki Nakai
Journal:  J Biol Chem       Date:  2013-08-13       Impact factor: 5.157

2.  Non-contiguous finished genome sequence of Bacteroides coprosuis type strain (PC139).

Authors:  Miriam Land; Brittany Held; Sabine Gronow; Birte Abt; Susan Lucas; Tijana Glavina Del Rio; Matt Nolan; Hope Tice; Jan-Fang Cheng; Sam Pitluck; Konstantinos Liolios; Ioanna Pagani; Natalia Ivanova; Konstantinos Mavromatis; Natalia Mikhailova; Amrita Pati; Roxane Tapia; Cliff Han; Lynne Goodwin; Amy Chen; Krishna Palaniappan; Loren Hauser; Evelyne-Marie 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; Alla Lapidus
Journal:  Stand Genomic Sci       Date:  2011-04-29

3.  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

4.  Genome sequence and description of Bacteroides timonensis sp. nov.

Authors:  Dhamodharan Ramasamy; Jean-Christophe Lagier; Morgane Rossi-Tamisier; Anne Pfleiderer; Caroline Michelle; Carine Couderc; Didier Raoult; Pierre-Edouard Fournier
Journal:  Stand Genomic Sci       Date:  2014-03-15
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.