Literature DB >> 25197440

Genome sequence of the acid-tolerant Burkholderia sp. strain WSM2230 from Karijini National Park, Australia.

Robert Walker1, Elizabeth Watkin1, Rui Tian2, Lambert Bräu3, Graham O'Hara2, Lynne Goodwin4, James Han5, Elizabeth Lobos5, Marcel Huntemann5, Amrita Pati5, Tanja Woyke5, Konstantinos Mavromatis5, Victor Markowitz6, Natalia Ivanova5, Nikos Kyrpides5, Wayne Reeve2.   

Abstract

Burkholderia sp. strain WSM2230 is an aerobic, motile, Gram-negative, non-spore-forming acid-tolerant rod isolated from acidic soil collected in 2001 from Karijini National Park, Western Australia, using Kennedia coccinea (Coral Vine) as a host. WSM2230 was initially effective in nitrogen-fixation with K. coccinea, but subsequently lost symbiotic competence. Here we describe the features of Burkholderia sp. strain WSM2230, together with genome sequence information and its annotation. The 6,309,801 bp high-quality-draft genome is arranged into 33 scaffolds of 33 contigs containing 5,590 protein-coding genes and 63 RNA-only encoding genes. The genome sequence of WSM2230 failed to identify nodulation genes and provides an explanation for the observed failure of the laboratory grown strain to nodulate. The genome of this strain is one of 100 sequenced as part of the DOE Joint Genome Institute 2010 Genomic Encyclopedia for Bacteria and Archaea-Root Nodule Bacteria (GEBA-RNB) project.

Entities:  

Keywords:  Betaproteobacteria; nitrogen fixation; rhizobia; root-nodule bacteria

Year:  2013        PMID: 25197440      PMCID: PMC4148995          DOI: 10.4056/sigs.5008793

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


Introduction

spp. are ubiquitous in the environment and are found in nearly all terrestrial and some marine ecosystems. They have adapted to occupy numerous niches and may have saprophytic, parasitic, pathogenic or symbiotic lifestyles [1]. Emerging evidence suggests an ancient and stable symbiosis between and Mimosa genera within South America [2] and between and legumes from the Papilionoideae subfamily in South Africa [3,4]. Despite this, there is very little data regarding the symbiosis between and endemic legumes outside of South America and South Africa. In Australia, legumes are predominately nodulated by species from the genera , , and [5,6]. There are no published genomes or species descriptions of symbiotic spp. isolated in Australia and there is a paucity of information on the interaction between and endemic Australia legumes. WSM2230 was isolated from an effective nitrogen fixing nodule on Kennedia coccinea grown in an acidic soil (pH(CaCl2) 4.8) collected from Karijini National Park, Western Australia. Its symbiotic phenotype was authenticated in glasshouse experiments (Watkin, unpublished). Recently this isolate was revived from long-term storage from frozen glycerol stocks but failed to form nodules on K. coccinea in axenic glasshouse trials (Walker, unpublished). In this regard, it is interesting that the South African microsymbiont STM678T only infrequently forms effective nodules on Macroptilium atropurpureum (Siratro). A recent study [7] revealed that forms effective nodules on Siratro when water levels are reduced and temperature is increased. Unlike STM678T, the annotation of the genome sequence of the laboratory cultured strain of WSM2230 failed to identify nodulation genes and this offers an explanation for the lack of a nodulation phenotype. Establishing the genomic sequences of Australian will be beneficial to understand the mutualistic interactions occurring between plant and rhizosphere organisms in low-pH soil. WSM2230 was only isolated from Karijini National Park acidic soil (pH(CaCl2) 4.8) and other sites where the soil pH was higher (pH(CaCl2) >7) did not contain any symbionts. In these more alkaline soils, numerous and spp. were instead trapped (Watkin, unpublished). Soil pH is an edaphic variable that controls microbial biogeography [8] and the acid tolerance of has been shown to account for the biogeographical distribution of this genus [9]. The genome of WSM2230 is one of two Australian genomes (the other being that of WSM2232 (GOLD ID Gi08832)) that have now been sequenced through the Genomic Encyclopedia for Bacteria and Archaea-Root Nodule Bacteria (GEBA-RNB) program. Here we present a preliminary description of the general features of the WSM2230 together with its genome sequence and annotation. The genomes of WSM2232 and WSM2230 will be an important resource to identify the processes enabling such isolates to adapt to the infertile, highly acidic soils that dominate the Australian landscape.

Classification and features

strain WSM2230 is a motile, non-sporulating, non-encapsulated, Gram-negative rod in the order of the class . The rod-shaped form varies in size with dimensions of 0.5 μm for width and 1.0-2.0 μm for length (Figure 1 Left and Center). It is fast growing, forming colonies within 1-2 days when grown on LB agar [10] devoid of NaCl and within 2-3 days when grown on half strength Lupin Agar (½LA) [11], tryptone-yeast extract agar (TY) [12] or a modified yeast-mannitol agar (YMA) [13] at 28°C. Colonies on ½LA are -opaque, slightly domed and moderately mucoid with smooth margins (Figure 1 Right).
Figure 1

Images of strain WSM2230 using scanning (Left) and transmission (Center) electron microscopy and the appearance of colony morphology on a solid medium (Right).

Images of strain WSM2230 using scanning (Left) and transmission (Center) electron microscopy and the appearance of colony morphology on a solid medium (Right). WSM2230 can solubilize inorganic phosphate, produces hydroxymate-like siderophores, and can tolerate a pH range of 4.5 - 9.0 (Walker, unpublished). Minimum Information about the Genome Sequence (MIGS) is provided in Table 1. Figure 2 shows the phylogenetic neighborhood of strain WSM2230 in a 16S rRNA sequence based tree. This strain shares 99% (1352/1364 bp) sequence identity to the 16S rRNA gene of the sequenced strain WSM2232 (Gi08831).
Table 1

Classification and general features of strain WSM2230 according to the MIGS recommendations [14]

MIGS ID    Property    Term    Evidence code
    Current classification    Domain Bacteria    TAS [15]
    Phylum Proteobacteria    TAS [16]
    Class Betaproteobacteria    TAS [17,18]
    Order Burkholderiales    TAS [18,19]
    Family Burkholderiaceae    TAS [18,20]
    Genus Burkholderia    TAS [21-23]
    Species Burkholderia sp.    IDA
    Strain WSM2230    IDA
    Gram stain    Negative    IDA
    Cell shape    Rod    IDA
    Motility    Motile    IDA
    Sporulation    Non-sporulating    NAS
    Temperature range    Mesophile    IDA
    Optimum temperature    30°C    IDA
    Salinity    Non-halophile    IDA
MIGS-22    Oxygen requirement    Aerobic    IDA
    Carbon source    Varied    IDA
    Energy source    Chemoorganotroph    NAS
MIGS-6    Habitat    Soil, root nodule, on host    IDA
MIGS-15    Biotic relationship    Free living, symbiotic    IDA
MIGS-14    Pathogenicity    Non-pathogenic    IDA
    Biosafety level    1    IDA
    Isolation    Root nodule of Kennedia coccinea    IDA
MIGS-4    Geographic location    Karijini National Park, Australia    IDA
MIGS-5    Soil collection date    September 2001    IDA
MIGS-4.1MIGS-4.2    Latitude    Longitude    117.99    -22.5    IDA    IDA
MIGS-4.3    Depth    0-10 cm    IDA
MIGS-4.4    Altitude    Not reported

Evidence codes – IDA: Inferred from Direct Assay; 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 [24].

Figure 2

Phylogenetic tree showing the relationship of strain WSM2230 (shown in bold print) to other members of the order based on aligned sequences of the 16S rRNA gene (1,242 bp internal region). All sites were informative and there were no gap-containing sites. Phylogenetic analyses were performed using MEGA [25], version 5. The tree was built using the Maximum-Likelihood method with the General Time Reversible model [26]. Bootstrap analysis [27] with 500 replicates was performed to assess the support of the clusters. Type strains are indicated with a superscript T. Brackets after the strain name contain a DNA database accession number and/or a GOLD ID (beginning with the prefix G) for a sequencing project registered in GOLD [28]. Published genomes are indicated with an asterisk.

Evidence codes – IDA: Inferred from Direct Assay; 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 [24]. Phylogenetic tree showing the relationship of strain WSM2230 (shown in bold print) to other members of the order based on aligned sequences of the 16S rRNA gene (1,242 bp internal region). All sites were informative and there were no gap-containing sites. Phylogenetic analyses were performed using MEGA [25], version 5. The tree was built using the Maximum-Likelihood method with the General Time Reversible model [26]. Bootstrap analysis [27] with 500 replicates was performed to assess the support of the clusters. Type strains are indicated with a superscript T. Brackets after the strain name contain a DNA database accession number and/or a GOLD ID (beginning with the prefix G) for a sequencing project registered in GOLD [28]. Published genomes are indicated with an asterisk.

Symbiotaxonomy

WSM2230 formed nodules (Nod+) on, and fixed N2 (Fix+) with, K. coccinea when first isolated. However, after long term storage and its subsequent culture, it failed to nodulate Australian legume hosts (Table 2).
Table 2

Compatibility of WSM2230 with nine legume species for nodulation (Nod) and N2-Fixation (Fix)

Species name    Common name    Growth type    Nod    Fix    Reference
K. coccinea    Coral Vine    Perennial    +1    +1    IDA
Swainsona formosa    Sturts Desert Pea    Annual    -    -    IDA
Indigofera trita    -    Annual    -    -    IDA
Acacia acuminata    Jam Wattle    Perennial    -    -    IDA
A. paraneura    Weeping Mulga    Perennial    -    -    IDA

1result obtained from trapping experiment but the isolate failed to nodulate after long term storage.

IDA: Inferred from Direct Assay from the Gene Ontology project [24].

1result obtained from trapping experiment but the isolate failed to nodulate after long term storage. IDA: Inferred from Direct Assay from the Gene Ontology project [24].

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its environmental and agricultural relevance to issues in global carbon cycling, alternative energy production, and biogeochemical importance, and is part of the Community Sequencing Program at the U.S. Department of Energy, Joint Genome Institute (JGI) for projects of relevance to agency missions. The genome project is deposited in the Genomes OnLine Database [28] and an improved-high-quality-draft genome sequence in IMG. Sequencing, finishing and annotation were performed by the JGI. A summary of the project information is shown in Table 3.
Table 3

Genome sequencing project information for WSM2230

MIGS ID    Property    Term
MIGS-31    Finishing quality    Improved high-quality draft
MIGS-28    Libraries used    1x Illumina library
MIGS-29    Sequencing platforms    Illumina HiSeq 2000
MIGS-31.2    Sequencing coverage    Illumina: 368×
MIGS-30    Assemblers    Velvet version 1.1.04; Allpaths-LG version r39750
MIGS-32    Gene calling methods    Prodigal 1.4
    GOLD ID    Gi08831
    NCBI project ID    165309
    Database: IMG    2513237151
    Project relevance    Symbiotic N2 fixation, agriculture

Growth conditions and DNA isolation

strain WSM2230 was cultured to mid logarithmic phase in 60 ml of TY rich medium on a gyratory shaker at 28°C [29]. DNA was isolated from the cells using a CTAB (Cetyl trimethyl ammonium bromide) bacterial genomic DNA isolation method [30].

Genome sequencing and assembly

The genome of strain WSM2230 was sequenced at the Joint Genome Institute (JGI) using Illumina technology [31]. An Illumina standard shotgun library was constructed and sequenced using the Illumina HiSeq 2000 platform which generated 15,498,652 reads totaling 2,324 Mbp. All general aspects of library construction and sequencing performed at the JGI can be found at the JGI user home [30]. All raw Illumina sequence data was passed through DUK, a filtering program developed at JGI, which removes known Illumina sequencing and library preparation artifacts (Mingkun, L., Copeland, A. and Han, J., unpublished). The following steps were then performed for assembly: (1) filtered Illumina reads were assembled using Velvet [32] (version 1.1.04), (2) 1–3 Kbp simulated paired end reads were created from Velvet contigs using wgsim (https://github.com/lh3/wgsim), (3) Illumina reads were assembled with simulated read pairs using Allpaths–LG [33] (version r39750). Parameters for assembly steps were: 1) Velvet --v --s 51 --e 71 --i 2 --t 1 --f "-shortPaired -fastq $FASTQ" --o "-ins_length 250 -min_contig_lgth 500"), 2) wgsim (-e 0 -1 76 -2 76 -r 0 -R 0 -X 0), 3) Allpaths–LG (STD_1,project,assembly,fragment,1,200,35,,,inward,0,0 SIMREADS,project,assembly,jumping,1,,,3000,300,inward,0,0). The final draft assembly contained 33 contigs in 33 scaffolds. The total size of the genome is 6.3 Mbp and the final assembly is based on 2,324 Mbp of Illumina data, which provides an average 368× coverage of the genome.

Genome annotation

Genes were identified using Prodigal [34] as part of the DOE-JGI annotation pipeline [35], followed by a round of manual curation using the JGI GenePrimp pipeline [36]. 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. The tRNAScanSE tool [37] was used to find tRNA genes, whereas ribosomal RNA genes were found by searches against models of the ribosomal RNA genes built from SILVA [38]. Other non–coding RNAs such as the RNA components of the protein secretion complex and the RNase P were identified by searching the genome for the corresponding Rfam profiles using INFERNAL [39]. Additional gene prediction analysis and manual functional annotation was performed within the Integrated Microbial Genomes (IMG-ER) platform [40,41].

Genome properties

The genome is 6,309,801 nucleotides 63.07% GC content (Table 4) and comprised of 33 scaffolds (Figures 3a,3b,3c and Figure 3d) of 33 contigs. From a total of 5,653 genes, 5,590 were protein encoding and 63 RNA only encoding genes. The majority of genes (83.42%) were assigned a putative function whilst the remaining genes were annotated as hypothetical. The distribution of genes into COGs functional categories is presented in Table 5.
Table 4

Genome Statistics for strain WSM2230

Attribute    Value    % of Total
Genome size (bp)    6,309,801    100.00
DNA coding region (bp)    5,480,804    86.86
DNA G+C content (bp)    3,979,790    63.07
Number of scaffolds    33
Number of contigs    33
Total gene    5,653    100.00
RNA genes    63    1.11
rRNA operons*    1    0.02
Protein-coding genes    5,590    98.89
Genes with function prediction    4,716    83.42
Genes assigned to COGs    4,614    81.62
Genes assigned Pfam domains    4,843    85.67
Genes with signal peptides    571    10.10
Genes with transmembrane helices    1,343    23.76
CRISPR repeats    0

*4 copies of 5S, 2 copies of 16S and 1 copy of 23S rRNA.

Figure 3a

Graphical map of WSM2230_A3ACDRAFT_scaffold_0.1 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew.

Figure 3b

Graphical map of WSM2230_A3ACDRAFT_scaffold__3.4 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew.

Figure 3c

Graphical map of WSM2230_A3ACDRAFT_scaffold_1.2 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew.

Figure 3d

Graphical map of WSM2230_A3ACDRAFT_scaffold_2.3 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew.

Table 5

Number of protein coding genes of strain WSM2230 associated with the general COG functional categories

Code    Value     %age     Description
J    179     3.46     Translation, ribosomal structure and biogenesis
A    2     0.04     RNA processing and modification
K    474     9.17     Transcription
L    141     2.73     Replication, recombination and repair
B    1     0.02     Chromatin structure and dynamics
D    40     0.77     Cell cycle control, cell division, chromosome partitioning
Y    0     0.0     Nuclear structure
V    47     0.91     Defense mechanisms
T    260     5.03     Signal transduction mechanisms
M    357     6.90     Cell wall/membrane/envelope biogenesis
N    103     1.99     Cell motility
Z    0     0.00     Cytoskeleton
W    2     0.04     Extracellular structures
U    128     2.48     Intracellular trafficking, secretion, and vesicular transport
O    169     3.27     Posttranslational modification, protein turnover, chaperones
C    371     7.17     Energy production and conversion
G    395     7.64     Carbohydrate transport and metabolism
E    496     9.59     Amino acid transport and metabolism
F    95     1.84     Nucleotide transport and metabolism
H    197     3.81     Coenzyme transport and metabolism
I    271     5.24     Lipid transport and metabolism
P    233     4.51     Inorganic ion transport and metabolism
Q    173     3.35     Secondary metabolite biosynthesis, transport and catabolism
R    610     11.80     General function prediction only
S    427     8.26     Function unknown
-    1,039     18.38     Not in COGs
*4 copies of 5S, 2 copies of 16S and 1 copy of 23S rRNA. Graphical map of WSM2230_A3ACDRAFT_scaffold_0.1 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew. Graphical map of WSM2230_A3ACDRAFT_scaffold__3.4 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew. Graphical map of WSM2230_A3ACDRAFT_scaffold_1.2 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew. Graphical map of WSM2230_A3ACDRAFT_scaffold_2.3 of the genome of strain WSM2230. From bottom to the top of each scaffold: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew.
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