Literature DB >> 21304650

Complete genome sequence of Saccharomonospora viridis type strain (P101).

Amrita Pati, Johannes Sikorski, Matt Nolan, Alla Lapidus, Alex Copeland, Tijana Glavina Del Rio, Susan Lucas, Feng Chen, Hope Tice, Sam Pitluck, Jan-Fang Cheng, Olga Chertkov, Thomas Brettin, Cliff Han, John C Detter, Cheryl Kuske, David Bruce, Lynne Goodwin, Patrick Chain, Patrik D'haeseleer, Amy Chen, Krishna Palaniappan, Natalia Ivanova, Konstantinos Mavromatis, Natalia Mikhailova, Manfred Rohde, Brian J Tindall, Markus Göker, Jim Bristow, Jonathan A Eisen, Victor Markowitz, Philip Hugenholtz, Nikos C Kyrpides, Hans-Peter Klenk.   

Abstract

Saccharomonospora viridis (Schuurmans et al. 1956) Nonomurea and Ohara 1971 is the type species of the genus Saccharomonospora which belongs to the family Pseudonocardiaceae. S. viridis is of interest because it is a Gram-negative organism classified among the usually Gram-positive actinomycetes. Members of the species are frequently found in hot compost and hay, and its spores can cause farmer's lung disease, bagassosis, and humidifier fever. Strains of the species S. viridis have been found to metabolize the xenobiotic pentachlorophenol (PCP). The strain described in this study has been isolated from peat-bog in Ireland. Here we describe the features of this organism, together with the complete genome sequence, and annotation. This is the first complete genome sequence of the family Pseudonocardiaceae, and the 4,308,349 bp long single replicon genome with its 3906 protein-coding and 64 RNA genes is part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  Gram-negative actinomycete; Pseudonocardiaceae; bagassosis; farmer’s lung disease; hot compost; humidifier fever; pentachlorophenol metabolism; thermophile

Year:  2009        PMID: 21304650      PMCID: PMC3035233          DOI: 10.4056/sigs.20263

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


Introduction

Strain P101T (= DSM 43017 = ATCC 15386 = JCM 3036 = NCIMB 9602) is the type strain of Saccharomonospora viridis, and the type species of the genus Saccharomonospora [1,2], which currently contains eight species [3]. Although phylogenetically a member of the Gram-positive actinomycetes, already the initial report on S. viridis strain P101T noticed the astonishing feature of the organism to be Gram-negative, despite showing the typical mycelium morphology of Saccharomonospora [2]. Like in other actinomycetes, spores of S. viridis are readily dispersed in air, and the prolonged exposure to spores can apparently result in acute respiratory distress (farmer’s lung disease) which may lead to irreversible lung damage [4,5]. Here we present a summary classification and a set of features for S. viridis P101T, together with the description of the complete genomic sequencing and annotation.

Classification and features

Members of the species S. viridis have been isolated or molecularly identified on several occasions from hot composts in Europe and USA [12-14,17], and also from soil in Japan [1]. One novel, yet unpublished, cultivated member of the species has been reported by Lu and Liu from Chinese soil (AF127525). Uncultured clone sequences with significant (99%) sequence similarity were observed from composting mass in China (AM930281 and AM930338). Screening of environmental genomic samples and surveys reported at the NCBI BLAST server indicated no closely related phylotypes that can be linked to the species or genus, with the closest matches (about 90% sequence similarity) to strain P101T 16S rRNA identified in a marine metagenome from the Sargasso Sea [18]. Figure 1 shows the phylogenetic neighborhood of S. viridis strain P101T in a 16S rRNA based tree. The sequences of all three copies of the 16S rRNA gene are identical and perfectly match the previously published 16S rRNA sequence generated from NCIMB 9602 (Z38007).
Figure 1

Phylogenetic tree of S. viridis strain P101T and all type strains of the genus Saccharomonospora inferred from 1,474 aligned characters [19,20] of the 16S rRNA gene under the maximum likelihood criterion [21]. The tree was rooted with all type strains of the members of the genus Prauserella, another genus in the family Pseudonocardiaceae. 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 if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [22] are shown in blue, published genomes in bold.

Phylogenetic tree of S. viridis strain P101T and all type strains of the genus Saccharomonospora inferred from 1,474 aligned characters [19,20] of the 16S rRNA gene under the maximum likelihood criterion [21]. The tree was rooted with all type strains of the members of the genus Prauserella, another genus in the family Pseudonocardiaceae. 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 if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [22] are shown in blue, published genomes in bold. The hyphae of the vegetative mycelium of strain P101T are branched and sometimes show curved endings [12]. Single spores are observed only on the aerial mycelium either directly on the hyphae or on short sporophores (Table 1 and Figure 2). The spores are oval, 0.9-1.1 µm × 1.2-1.4 µm in size. Only very occasionally two spores are observed. The aerial mycelium is either grayish green in color, or turns from white to greenish as on Czapek Agar. The optimal temperature for growth is 55°C, but 45°C for aerial mycelium formation and pigment production. At 37°C and 60°C the growth is very limited and without aerial mycelia. No growth occurs at 27°C and 70°C [12].
Table 1

Classification and general features of S. viridis P101T in accordance with the MIGS recommendations [6]

MIGS IDPropertyTerm  Evidence code
Current classificationDomain Bacteria  TAS [7]
Phylum Actinobacteria  TAS [8]
Order Actinomycetales  TAS [9]
Suborder Pseudonocardineae  TAS [9]
Family Pseudonocardiaceae  TAS [9]
Genus Saccharomonospora  TAS [1]
Species Saccharomonospora viridis  TAS [2]
Type strain P101
Gram stainnegative  TAS [2]
Cell shapevariable  TAS [10]
Motilitynonmotile  NAS
Sporulationsingle spores mainly on aerial mycelium  TAS [1]
Temperature rangethermophile, 37-60°C  TAS [11]
Optimum temperature55°C for growth, 45°C for aerial mycelium formation  TAS [1,11,12]
Salinity7% NaCl  TAS [11]
MIGS-22Oxygen requirementaerobic; nor reported if essential  TAS [11]
Carbon sourceD-glucose, sucrose, dextrin  TAS [11]
Energy sourcecarbohydrates  TAS [11]
MIGS-6Habitatpeat and compost (species occurrence)  TAS [1,4,12-14]
MIGS-15Biotic relationshipfree living
MIGS-14Pathogenicitylung damage  TAS [4]
Biosafety level1  TAS [15]
Isolationpeat-bog at 250 cm depth  TAS [12]
MIGS-4Geographic locationIrish peat
MIGS-5Sample collection timebefore 1963  TAS [12]
MIGS-4.1 MIGS-4.2Latitude – Longitudenot reported
MIGS-4.3Depthnot reported
MIGS-4.4Altitudenot 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 the Gene Ontology project [16]. If the evidence code is IDA, then the property was observed for a living isolate by one of the authors, or an expert mentioned in the acknowledgements.

Figure 2

Scanning electron micrograph of S. viridis P101T

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 [16]. If the evidence code is IDA, then the property was observed for a living isolate by one of the authors, or an expert mentioned in the acknowledgements. Scanning electron micrograph of S. viridis P101T Strain P101T has been observed to be sensitive to a variety of phages [11]. Members of S. viridis are apparently able to metabolize pentachlorophenol but not other chlorophenols [14]. It was suggested that S. viridis metabolizes PCP by conjugation to form a more polar transformation product, but, unlike other PCP-degrading bacteria, the organism is incapable of effecting total degradation of the xenobiotic [14]. Microorganisms such as S. viridis may therefore contribute to PCP removal by microbial communities in situ, despite being unable to completely mineralize chlorophenols in pure culture [14]. S. viridis produces a thermostable α-amylase which forms 63% (w/w) maltose on hydrolysis of starch [23]. Maltotriose and maltotetraose are the only intermediate products observed during this reaction, with maltotriose accumulating to 40% (w/w). Both unimolecular and multimolecular mechanisms (transfers and condensation) have been shown to occur during the concentration-dependent degradation of maltotriose and maltotetraose. Such reactions result in the almost exclusive formation of maltose from maltotriose at high initial concentration [23]. S. viridis produces thermoviridin, an antibiotic that is primarily active against the Gram-positive bacteria (growth inhibition) [2,11]. At higher concentrations, also Gram-negative bacteria were growth-inhibited [2].

Chemotaxonomy

The murein of P101T is of cell wall type IV. It contains meso-diaminopimelic acid in the peptidoglycan and arabinose and galactose in whole-cell hydrolysates (sugar type A). Mycolic acids and teichonic acids were not reported. Strain P101T contains menaquinones MK-9(H4) (60%) and MK-8(H4) (20 to 30%). The combination of the tetrahydromultiprenyl menaquinones MK-9(H4) and MK-8(H4) is characteristic for the genus Saccharomonospora [11]. The major cellular fatty acids are saturated, iso-branched acids with 16 and 18 carbon atoms, and 2-hydroxydodecanoic acids. Details are described in the Compendium of Actinobacteria [10]. Phosphatidylethanolamine, hydroxy-phosphatidyl-ethanolamine, and lyso-phosphatidyl-ethanolamine were identified as the main phospholipids.

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position, and is part of the enomic ncyclopedia of acteria and rchaea project. The genome project is deposited in the Genome OnLine Database [22] and the complete genome sequence 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 IDPropertyTerm
MIGS-31Finishing qualityFinished
MIGS-28Libraries usedTwo Sanger libraries - 8 kb pMCL200 and fosmid pcc1Fos
MIGS-29Sequencing platformsABI3730
MIGS-31.2Sequencing coverage12.9 Sanger
MIGS-30Assemblersphrap
MIGS-32Gene calling methodGenemark 4.6b, tRNAScan-SE-1.23, infernal 0.81, GenePRIMP
INSDC / Genbank IDCP001683
Genbank Date of ReleaseAugust 26, 2009
GOLD IDGc01088
NCBI project ID20835
Database: IMG-GEBA2500901760
MIGS-13Source material identifierDSM 43017
Project relevanceTree of Life, GEBA

Growth conditions and DNA isolation

S. viridis strain P101T, DSM 43017, was grown in DSMZ medium 535 (Trypticase soy broth, ) at 45°C. DNA was isolated from 1-1.5 g of cell paste using Qiagen Genomic 500 DNA Kit (Qiagen, Hilden, Germany) with a modified protocol, st/FT, for cell lysis, as described in Wu et al. [24].

Genome sequencing and assembly

The genome was sequenced using Sanger sequencing platform only. All general aspects of library construction and sequencing can be found at the JGI website (http://www.jgi.doe.gov). The Phred/Phrap/Consed software package was used for sequence assembly and quality assessment. After the shotgun stage reads were assembled with parallel phrap (High Performance Software, LLC). Possible mis-assemblies were corrected with Dupfinisher [25] or transposon bombing of bridging clones (Epicentre Biotechnologies, Madison, WI). Gaps between contigs were closed by editing in Consed, custom primer walk or PCR amplification (Roche Applied Science, Indianapolis, IN). A total of 354 finishing reactions were produced to close gaps and to raise the quality of the finished sequence. The completed genome sequences of S. viridis contains 66,210 Sanger reads, achieving an average of 12.9 sequence coverage per base, with an error rate less than 1 in 100,000.

Genome annotation

Genes were identified using GeneMark [26] as part of the genome annotation pipeline in the Integrated Microbial Genomes Expert Review (IMG-ER) system [27], followed by a round of manual curation using the JGI GenePRIMP pipeline (http://geneprimp.jgi-psf.org) [28]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant database, UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. The tRNAScanSE tool [29] was used to find tRNA genes, whereas ribosomal RNAs were found by using the tool RNAmmer [30]. Other non coding RNAs were identified by searching the genome for the Rfam profiles using INFERNAL (v0.81) [31]. Additional gene prediction analysis and manual functional annotation was performed within the Integrated Microbial Genomes (IMG) platform (http://img.jgi.doe.ogv/er) [32].

Metabolic network analysis

The metabolic Pathway/Genome Database (PGDB) was computationally generated using Pathway Tools software version 12.5 [33] and MetaCyc version 12.5 [34], based on annotated EC numbers and a customized enzyme name mapping file. It has undergone no subsequent manual curation and may contain errors, similar to a Tier 3 BioCyc PGDB [35].

Genome properties

The genome is 4,308,349 bp long and comprises one main circular chromosome with a 67.3% GC content (Table 3 and Figure 3). Of the 3,970 genes predicted, 3,906 were protein coding genes, and 64 RNAs; 78 pseudogenes were also identified. The majority of the protein-coding genes (71.2%) were assigned with a putative function, while the remaining ones were annotated as having hypothetical function. The properties and the statistics of the genome are summarized in Table 3. The distribution of genes into COGs functional categories is presented in Table 4 and a cellular overview diagram is presented in Figure 4, followed by a summary of metabolic network statistics shown in Table 5.
Table 3

Genome Statistics

AttributeValue% of Total
Genome size (bp)4,308,349100.00%
DNA Coding region (bp)3,805,48388.33%
DNA G+C content (bp)2,900,17167.32%
Number of replicons1
Extrachromosomal elements0
Total genes3,970100%
RNA genes641.61%
rRNA operons3
Protein-coding genes3,90698.39%
Pseudo genes781.96%
Genes with function prediction2,82871.23%
Genes in paralog clusters53413.45%
Genes assigned to COGs2,70968.24%
Genes assigned Pfam domains2,84571.66%
Genes with signal peptides72518.26%
Genes with transmembrane helices88022.17%
CRISPR repeats9
Figure 3

Graphical circular map of the genome. 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

CodeValue%  Description
J1584.0  Translation, ribosomal structure and biogenesis
A10.0  RNA processing and modification
K2767.1  Transcription
L1253.2  Replication, recombination and repair
B10.0  Chromatin structure and dynamics
D250.6  Cell cycle control, mitosis and meiosis
Y00.0  Nuclear structure
V441.1  Defense mechanisms
T1463.7  Signal transduction mechanisms
M1253.2  Cell wall/membrane biogenesis
N20.1  Cell motility
Z00.0  Cytoskeleton
W00.0  Extracellular structures
U270.7  Intracellular trafficking and secretion
O1072.7  Posttranslational modification, protein turnover, chaperones
C2145.5  Energy production and conversion
G2145.5  Carbohydrate transport and metabolism
E2937.5  Amino acid transport and metabolism
F852.2  Nucleotide transport and metabolism
H1754.5  Coenzyme transport and metabolism
I1894.8  Lipid transport and metabolism
P1463.7  Inorganic ion transport and metabolism
Q1393.6  Secondary metabolites biosynthesis, transport and catabolism
R38910.0  General function prediction only
S1824.7  Function unknown
-119730.6  Not in COGs
Figure 4

Cellular overview diagram. This diagram provides a schematic of all pathways of S. viridis strain P101T metabolism. Nodes represent metabolites, with shape indicating class of metabolite (see key to right). Lines represent reactions.

Table 5

Metabolic Network Statistics

AttributeValue
Total genes3,970
Enzymes880
Enzymatic reactions1,155
Metabolic pathways244
Metabolites863
Graphical circular map of the genome. 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. Cellular overview diagram. This diagram provides a schematic of all pathways of S. viridis strain P101T metabolism. Nodes represent metabolites, with shape indicating class of metabolite (see key to right). Lines represent reactions.
  27 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.  Studies on peat and peat microorganism. I. Taxonomic studies on thermophilic Actinomycetes isolated from peat.

Authors:  E KUSTER; R LOCCI
Journal:  Arch Mikrobiol       Date:  1963

3.  GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes.

Authors:  Amrita Pati; Natalia N Ivanova; Natalia Mikhailova; Galina Ovchinnikova; Sean D Hooper; Athanasios Lykidis; Nikos C Kyrpides
Journal:  Nat Methods       Date:  2010-05-02       Impact factor: 28.547

4.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

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

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

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Authors:  Peter D Karp; Christos A Ouzounis; Caroline Moore-Kochlacs; Leon Goldovsky; Pallavi Kaipa; Dag Ahrén; Sophia Tsoka; Nikos Darzentas; Victor Kunin; Núria López-Bigas
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9.  Rfam: annotating non-coding RNAs in complete genomes.

Authors:  Sam Griffiths-Jones; Simon Moxon; Mhairi Marshall; Ajay Khanna; Sean R Eddy; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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Authors:  Ron Caspi; Hartmut Foerster; Carol A Fulcher; Pallavi Kaipa; Markus Krummenacker; Mario Latendresse; Suzanne Paley; Seung Y Rhee; Alexander G Shearer; Christophe Tissier; Thomas C Walk; Peifen Zhang; Peter D Karp
Journal:  Nucleic Acids Res       Date:  2007-10-27       Impact factor: 16.971

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