Literature DB >> 21304701

Complete genome sequence of Kribbella flavida type strain (IFO 14399).

Rüdiger Pukall, Alla Lapidus, Tijana Glavina Del Rio, Alex Copeland, Hope Tice, Jan-Fang Cheng, Susan Lucas, Feng Chen, Matt Nolan, Kurt Labutti, Amrita Pati, Natalia Ivanova, Konstantinos Mavromatis, Natalia Mikhailova, Sam Pitluck, David Bruce, Lynne Goodwin, Miriam Land, Loren Hauser, Yun-Juan Chang, Cynthia D Jeffries, Amy Chen, Krishna Palaniappan, Patrick Chain, Manfred Rohde, Markus Göker, Jim Bristow, Jonathan A Eisen, Victor Markowitz, Philip Hugenholtz, Nikos C Kyrpides, Hans-Peter Klenk, Thomas Brettin.   

Abstract

The genus Kribbella consists of 15 species, with Kribbella flavida (Park et al. 1999) as the type species. The name Kribbella was formed from the acronym of the Korea Research Institute of Bioscience and Biotechnology, KRIBB. Strains of the various Kribbella species were originally isolated from soil, potato, alum slate mine, patinas of catacombs or from horse racecourses. Here we describe the features of K. flavida together with the complete genome sequence and annotation. In addition to the 5.3 Mbp genome of Nocardioides sp. JS614, this is only the second completed genome sequence of the family Nocardioidaceae. The 7,579,488 bp long genome with its 7,086 protein-coding and 60 RNA genes and is part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  Actinobacteria; GEBA; LL-diaminopimelic acid; Nocardioidaceae; Propionibacterineae; aerobic; mycelia; soil

Year:  2010        PMID: 21304701      PMCID: PMC3035274          DOI: 10.4056/sigs.731321

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


Introduction

Strain IFO 14399T (= DSM 17836 = KCTC 9580 = JCM 10339 = NBRC 14399) is the type strain the species Kribbella flavida, which is the type species of the genus Kribbella. Strain IFO 14399T was originally isolated from soil in China and first described as ‘Nocardioides fulvus’ by Ruan and Zhang, 1979 [1]. In 1999, the strain was reclassified into the novel genus Kribbella on the basis of comparative chemotaxonomic and 16S rRNA sequence analysis [2]. K. flavida exhibits mycelia on several media used for growing the strain. The mycelium consists of hyphae, which are extensively branched and penetrate into the agar medium. The hyphae often fragment into rod to coccus-like elements [2]. Here we present a summary classification and a set of features for K. flavida IFO 14399T, together with the description of the complete genomic sequencing and annotation.

Classification and features

The type strain IFO 14399T was isolated from soil in China. Genbank contains only one additional 16S rRNA gene sequence with at least 99% similarity, derived from a strain isolated from scabby potatoes (EU80972). No phylotypes from environmental samples or genomic surveys be directly linked to K. flavida, indicating rare occurrence of the species in so far screened habitats (October 2009). Figure 1 shows the phylogenetic neighborhood of K. flavida IFO 14399T in a 16S rRNA based tree. The sequence of the two 16S rRNA genes in the genome of strain 14399T differ by two nucleotides from each other and by up to two nucleotides from the previously published 16S rRNA sequence generated from KACC 20258 (AY253863).
Figure 1

Tree highlighting the position of K. flavida IFO 14399T relative to the other type strains of the genus Kribbella and the type strains of the other genera within the families Nocardioidaceae and Propionibacteriaceae. The tree was inferred from 1,343 aligned characters [3,4] of the 16S rRNA gene sequence under the maximum likelihood criterion [5] and rooted in accordance with current taxonomy. 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 [6] are shown in blue, published genomes in bold.

Tree highlighting the position of K. flavida IFO 14399T relative to the other type strains of the genus Kribbella and the type strains of the other genera within the families Nocardioidaceae and Propionibacteriaceae. The tree was inferred from 1,343 aligned characters [3,4] of the 16S rRNA gene sequence under the maximum likelihood criterion [5] and rooted in accordance with current taxonomy. 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 [6] are shown in blue, published genomes in bold. K. flavida is a Gram-positive, aerobic and non-acid-fast actinomycete (Table 1), characterized by primary mycelium (Figure 2), with branched hyphae that penetrate into the agar medium. Aerial mycelium is also developed and can break up into short to elongated rod-like elements. Growth occurs between pH 5 and 9 and between 20 and 37°C. The strain shows positive activity for catalase, oxidase and urease. It utilizes D-glucose, D-cellobiose, maltose, D-melibiose, sucrose, D-trehalose, melezitose, D-raffinose, adonitol, myo-inositol, D-mannitol, inulin, disodium succinate and disodium fumarate as sole carbon and energy source [2].
Table 1

Classification and general features of K. flavida IFO 14399T according to the MIGS recommendations [7]

MIGS ID   Property    Term    Evidence code
   Current classification    Domain Bacteria    TAS [8]
    Phylum Actinobacteria    TAS [9]
    Class Actinobacteria    TAS [10]
    Order Actinomycetales    TAS [11]
    Suborder Propionibacterineae    TAS [10]
    Family Nocardioidaceae    TAS [12]
    Genus Kribbella    TAS [2]
    Species Kribbella flavida    TAS [2]
    Type strain IFO 14399    TAS [2]
   Gram stain    positive    TAS [2]
   Cell shape    hyphae, fragmented into rod to    coccoid elements    TAS [2]
   Motility    nonmotile    NAS
   Sporulation    nonsporulating    NAS
   Temperature range    20°C-37°C    TAS [2]
   Optimum temperature    not reported
   Salinity    not reported
MIGS-22   Oxygen requirement    strictly aerobic    TAS [2]
   Carbon source    saccharolytic    TAS [2]
   Energy source    carbohydrates    TAS [2]
MIGS-6   Habitat    soil    TAS [2]
MIGS-15   Biotic relationship    free living    NAS
MIGS-14   Pathogenicity    none    NAS
   Biosafety level    1    TAS [13]
   Isolation    soil    TAS [1,2]
MIGS-4   Geographic location    Beijing, China    TAS [1]
MIGS-5   Sample collection time    NAS
MIGS-4.1MIGS-4.2   Latitude    Longitude    39.55    116.25    NAS
MIGS-4.3   Depth    not reported
MIGS-4.4   Altitude    not reported

Evidence codes - IDA: Inferred from Direct Assay (first time in publication); TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from of the Gene Ontology project [14]. If the evidence code is IDA, then the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

Figure 2

Scanning electron micrograph of K. flavida IFO 14399T

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 [14]. 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 K. flavida IFO 14399T

Chemotaxonomy

One of the meaningful characteristics of the genus Kribbella is the presence of LL-diaminopimelic acid as the diagnostic diamino acid in the cell wall peptidoglycan [2]. The predominant menaquinone is a tetrahydrogenated menaquinone with nine isoprenoid units MK-9(H4) [2]. The major fatty acids detected in K. flavida are anteiso-C15:0 and iso-C16:0 [2]. Phosphatidylcholine is the main polar lipid [2]. The genus Kribbella differs from other LL-diaminopimelic acid and MK-9(H4) containing taxa, by having a typical hyphal morphology [2].

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 [15] 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    Two Sanger libraries: 8kb pMCL200 and fosmid pcc1Fos    One 454 pyrosequence standard library and    one Standard Illumina library
MIGS-29    Sequencing platforms    ABI3730, 454 GS FLX, Illumina GA
MIGS-31.2    Sequencing coverage    7.4× Sanger; 13.4× pyrosequence
MIGS-30    Assemblers    Newbler 1.1.01.20, phrap
MIGS-32    Gene calling method    Prodigal, GenePRIMP
    INSDC ID    CP001736
    Genbank Date of Release    January 13, 2010
    GOLD ID    Gc01192
    NCBI project ID    21089
    Database: IMG-GEBA    2501939632
MIGS-13    Source material identifier    DSM 17836
    Project relevance    Tree of Life, GEBA

Growth conditions and DNA isolation

K. flavida IFO 14399T, DSM 17836, was grown in DSM medium 830 [15] at 28°C. DNA was isolated from 1-1.5 g of cell paste using Qiagen Genomic 500 DNA Kit (Qiagen, Hilden, Germany) following the manufacturer's instructions with modification st/FT for cell lysis according to Wu et al. [16].

Genome sequencing and assembly

The genome was sequenced using a combination of Sanger and 454 sequencing platforms. All general aspects of library construction and sequencing can be found on the JGI website. 454 Pyrosequencing reads were assembled using the Newbler assembler version 1.1.01.20 (Roche). Large Newbler contigs were broken into 8,548 overlapping fragments of 1,000 bp and entered into assembly as pseudo-reads. The sequences were assigned quality scores based on Newbler consensus q-scores with modifications to account for overlap redundancy and to adjust inflated q-scores. A hybrid 454/Sanger assembly was made using the parallel phrap assembler (High Performance Software, LLC). Possible mis-assemblies were corrected with Dupfinisher [17] 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. A total of 2,850 Sanger finishing reads were produced to close gaps, to resolve repetitive regions, and to raise the quality of the finished sequence. Illumina reads were used to improve the final consensus quality using an in-house developed tool (the Polisher). The error rate of the completed genome sequence is less than 1 in 100,000. Together all sequence types provided 51.2× coverage of the genome. The final assembly contains 59,008 Sanger and 433,053 pyrosequence reads.

Genome annotation

Genes were identified using Prodigal [18] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [19]. 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. Additional gene prediction analysis and manual functional annotation was performed within the Integrated Microbial Genomes Expert Review (IMG-ER) platform [20].

Genome properties

The genome is 7,579,488 bp long with a 70.6% GC content (Table 3 and Figure 3). Of the 7,146 genes predicted, 7,086 were protein-coding genes, and 60 RNAs; 143 pseudogenes were also identified. The majority of the protein-coding genes (70.7%) were assigned with a putative function while those remaining were annotated as hypothetical proteins. The distribution of genes into COGs functional categories is summarized in Table 4.
Table 3

Genome Statistics

Attribute  Value   % of Total
Genome size (bp)  7,579,488   100.00%
DNA coding region (bp)  6,893,122   90.94%
DNA G+C content (bp)  5,348,686   70.57%
Number of replicons  1
Extrachromosomal elements  0
Total genes  7,146   100.00%
RNA genes  60   0.84%
rRNA operons  2
Protein-coding genes  7,086   99.16%
Pseudo genes  143   2.00%
Genes with function prediction  5,049   70.65%
Genes in paralog clusters  1,595   22.32%
Genes assigned to COGs  4,877   68.25%
Genes assigned Pfam domains  5,174   72.40%
Genes with signal peptides  1,721   24.08%
Genes with transmembrane helices  1,675   23.44%
CRISPR repeats  0   0
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   225   4.1   Translation, ribosomal structure and biogenesis
A   2   0.0   RNA processing and modification
K   762   13.8   Transcription
L   184   3.3   Replication, recombination and repair
B   1   0.0   Chromatin structure and dynamics
D   38   0.7   Cell cycle control, cell division, chromosome partitioning
Y   0   0.0   Nuclear structure
V   136   2.5   Defense mechanisms
T   261   4.7   Signal transduction mechanisms
M   239   4.3   Cell wall/membrane biogenesis
N   2   0.0   Cell motility
Z   2   0.0   Cytoskeleton
W   0   0.0   Extracellular structures
U   46   0.8   Intracellular trafficking and secretion
O   143   2.6   Posttranslational modification, protein turnover, chaperones
C   308   5.6   Energy production and conversion
G   636   11.5   Carbohydrate transport and metabolism
E   397   7.2   Amino acid transport and metabolism
F   100   1.9   Nucleotide transport and metabolism
H   264   4.8   Coenzyme transport and metabolism
I   212   3.8   Lipid transport and metabolism
P   218   3.9   Inorganic ion transport and metabolism
Q   175   3.2   Secondary metabolites biosynthesis, transport and catabolism
R   802   14.5   General function prediction only
S   367   6.7   Function unknown
-   2,269   31.8   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.
  13 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.  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.  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

5.  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

6.  Classification of 'Nocardioides fulvus' IFO 14399 and Nocardioides sp. ATCC 39419 in Kribbella gen. nov., as Kribbella flavida sp. nov. and Kribbella sandramycini sp. nov.

Authors:  Y H Park; J H Yoon; Y K Shin; K Suzuki; T Kudo; A Seino; H J Kim; J S Lee; S T Lee
Journal:  Int J Syst Bacteriol       Date:  1999-04

7.  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

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.  Complete genome sequence of Kytococcus sedentarius type strain (541).

Authors:  David Sims; Thomas Brettin; John C Detter; Cliff Han; Alla Lapidus; Alex Copeland; Tijana Glavina Del Rio; Matt Nolan; Feng Chen; Susan Lucas; Hope Tice; Jan-Fang Cheng; David Bruce; Lynne Goodwin; Sam Pitluck; Galina Ovchinnikova; Amrita Pati; Natalia Ivanova; Konstantinos Mavrommatis; Amy Chen; Krishna Palaniappan; Patrik D'haeseleer; Patrick Chain; Jim Bristow; Jonathan A Eisen; Victor Markowitz; Philip Hugenholtz; Susanne Schneider; Markus Göker; Rüdiger Pukall; Nikos C Kyrpides; Hans-Peter Klenk
Journal:  Stand Genomic Sci       Date:  2009-07-20
View more
  5 in total

Review 1.  Phylogenetic framework and molecular signatures for the main clades of the phylum Actinobacteria.

Authors:  Beile Gao; Radhey S Gupta
Journal:  Microbiol Mol Biol Rev       Date:  2012-03       Impact factor: 11.056

2.  Two Novel Glycoside Hydrolases Responsible for the Catabolism of Cyclobis-(1→6)-α-nigerosyl.

Authors:  Takayoshi Tagami; Eri Miyano; Juri Sadahiro; Masayuki Okuyama; Tomohito Iwasaki; Atsuo Kimura
Journal:  J Biol Chem       Date:  2016-06-14       Impact factor: 5.157

Review 3.  Lessons learned from the transformation of natural product discovery to a genome-driven endeavor.

Authors:  Caitlin D Deane; Douglas A Mitchell
Journal:  J Ind Microbiol Biotechnol       Date:  2013-10-19       Impact factor: 3.346

4.  Identification of genes coding for putative wax ester synthase/diacylglycerol acyltransferase enzymes in terrestrial and marine environments.

Authors:  Mariana P Lanfranconi; Adrián F Alvarez; Héctor M Alvarez
Journal:  AMB Express       Date:  2015-07-31       Impact factor: 3.298

5.  Novel South African Rare Actinomycete Kribbella speibonae Strain SK5: A Prolific Producer of Hydroxamate Siderophores Including New Dehydroxylated Congeners.

Authors:  Kojo Sekyi Acquah; Denzil R Beukes; Digby F Warner; Paul R Meyers; Suthananda N Sunassee; Fleurdeliz Maglangit; Hai Deng; Marcel Jaspars; David W Gammon
Journal:  Molecules       Date:  2020-06-29       Impact factor: 4.411

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.