Literature DB >> 26392840

Draft genome sequence of 'Treponema phagedenis' strain V1, isolated from bovine digital dermatitis.

Mamoona Mushtaq1, Shahid Manzoor2, Märit Pringle3, Anna Rosander4, Erik Bongcam-Rudloff1.   

Abstract

'Treponema phagedenis' is considered to be a key agent in the pathogenesis of bovine digital dermatitis, an infectious foot condition of economic and animal welfare importance. We hereby report the draft sequence of 'T. phagedenis' strain V1. The draft genome assembly consists of 51 scaffolds comprising 3,129,551 bp and a GC-content of 39.9 %. Putative pathogenicity related factors have been identified in the genome that can be used in future studies to gain insight into the pathogenic mechanisms of 'T. phagedenis'.

Entities:  

Keywords:  Digital dermatitis; Genome assembly; Sweden; Västra Götaland; ‘T. phagedenis’

Year:  2015        PMID: 26392840      PMCID: PMC4576374          DOI: 10.1186/s40793-015-0059-0

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


Introduction

Digital dermatitis is a painful infection of the foot and is the leading cause of lameness in dairy cattle. Secondary effects of lameness are decreased milk production and weight loss leading to economic losses and animal welfare problems [1]. The disease is characterized by a diffuse or circumscribed superficial dermatitis of the skin at the coronary margin of the hoof. Erosive lesions are formed at the superficial layer of epidermis accompanied by pain, swelling and foul odor. Bacteria from different genera have been identified from these lesions, among them spirochetes of the genus are most prevalent [2-4]. Members of this genus constitute both commensal and pathogenic spirochetes. , which causes syphilis, is a well-known example of a pathogenic treponeme. A phylotype recently suggested being the same species as is the human commensal ‘’ [5] which is considered to be a key agent in the pathogenesis of digital dermatitis [6-9]. ‘’ is thought to be important for lesion development because it is found at the interface with healthy tissue [10] and has been detected in infected cattle from Europe [11], North America [12], and Asia [13]. To identify the putative pathogenicity related factors of ‘', we performed sequencing of the ‘’ strain V1 chromosome [14].

Organism information

Classification and features

'' strain V1 (Fig. 1) was isolated from a Swedish dairy cow [14]. Strains 4A and YG3903R were isolated from digital dermatitis lesion in cattle from USA and Japan respectively [12, 13]. According to 16S rRNA sequence comparison using NCBI blast [15] ‘’ V1 (DQ470655) shares 100 % identity with ‘’ strains 4A (AF546875) and YG3903R (FJ004921) and 98 %-99 % identity with human strains CIP 62.29 (EF645248) and K5 (M57739). Among other treponemes, ‘’ V1 is most closely related to (AJ543428) and (AF139203) sharing 93 % 16S rRNA identity with them. Figure 2 shows the phylogenetic relationship of ‘’ V1 with the other species in a 16S rRNA based tree.
Fig. 1

A scanning electron microscope picture of Treponema phagedenis V1 cells. Photo: Leif Ljung

Fig. 2

16S rRNA phylogenetic tree; Phylogenetic tree of 16S rRNA sequences highlighting the position of ‘Treponema phagedenis’ strain V1 relative to other ‘Treponema phagedenis’ strains and to the other species within the genus. Brachyspira hyodysenteriae and Brachyspira innocens are used as out-group. The evolutionary history was inferred from 1212 aligned characters [42, 43]. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. Numbers above branches are support values from 1000 bootstrap replicates. 0.04 on the scale bar represents 4 substitutions in 100 bp. Evolutionary analyses were conducted using maximum Likelihood method in MEGA6 [44]

A scanning electron microscope picture of Treponema phagedenis V1 cells. Photo: Leif Ljung 16S rRNA phylogenetic tree; Phylogenetic tree of 16S rRNA sequences highlighting the position of ‘Treponema phagedenis’ strain V1 relative to other ‘Treponema phagedenis’ strains and to the other species within the genus. Brachyspira hyodysenteriae and Brachyspira innocens are used as out-group. The evolutionary history was inferred from 1212 aligned characters [42, 43]. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. Numbers above branches are support values from 1000 bootstrap replicates. 0.04 on the scale bar represents 4 substitutions in 100 bp. Evolutionary analyses were conducted using maximum Likelihood method in MEGA6 [44] ‘’ is a helically, right-handed coiled bacterium with bent ends that are motile [16]. The typical size of ‘’ ranges in length from 0.8 to 15 μm and 0.3 to 0.4 μm in width, with 7 to 9 flagella attached on each end [5, 12]. These bacteria are mostly host-associated, anaerobic and have fastidious growth requirements. ‘’ strain V1 was isolated from a clinical sample from a digital dermatitis lesion. [14]. The sample was taken from an acute lesion in a herd with continuous problems with digital dermatitis. According to the API ZYM profile, ‘’ strain V1 shows a positive reaction for alkaline phosphatase, C4 esterase, C8 esterase lipase, acid phosphatase, naptholphosphohydrolase, β-galactosidase, and N-acetyl-β-glucosaminidase. The antimicrobial susceptibility test performed on ‘’ strain V1 shows that it is susceptible to tiamulin, valnemulin, tylosin, aivlosin and doxycycline [14]. Also, three immunogenic proteins, TmpA, Ttm, and PrrA, have been detected in ‘’. The presence of antibodies against these proteins has been identified in high titer in sera from cattle with digital dermatitis through indirect enzyme-linked immunosorbent assay [17]. General features of V1 are stated in Table 1.
Table 1

Classification and general features of ‘Treponema phagdenis’ strain V1 [33]

MIGS IDPropertyTermEvidence codea
ClassificationDomain Bacteria TAS [34]
Phylum Spirochaetes TAS [35]
Class ‘Spirochaetia’ TAS [36]
Order Spirochaetales TAS [3739]
Family Spirochaetaceae TAS [40]
Genus Treponema TAS [6, 14]
Species ‘Treponema phagdenis’ TAS [5, 14]
Strain: V1
Gram stainnegativeTAS [41]
Cell shapeHelicalTAS [41]
MotilityMotileTAS [14, 17]
SporulationNon-sporulatingNAS
Temperature range30-42 °CNAS [41]
Optimum temperature37 °CNAS [41]
pH range; Optimum6–8.5; 7TAS [5]
Carbon sourceD-glucoseIDA
MIGS-6HabitatDigital dermatitis lesion in cattleTAS [14]
MIGS-6.3SalinityNot reported
MIGS-22Oxygen requirementAnaerobicNAS
MIGS-15Biotic relationshipHost-associatedNAS
MIGS-14PathogenicityPotential pathogen in cattleTAS [14]
MIGS-4Geographic locationVästra Götaland county, SwedenTAS [14]
MIGS-5Sample collection2005TAS [14]
MIGS-4.1LatitudeNot reported
MIGS-4.2LongitudeNot reported
MIGS-4.4AltitudeNot reported

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 [33]

aEvidence codes

Classification and general features of ‘Treponema phagdenis’ strain V1 [33] 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 [33] aEvidence codes

Genome sequencing information

Genome project history

‘’ strain V1 was selected for sequencing in 2009 at the Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden. The genome was assembled and annotated by the SLU-Global Bioinformatics Centre at SLU. The genome project is deposited in the Genomes OnLine Database [18] with GOLD id Gi0072982 and the draft genome assembly is deposited in the European Nucleotide Archive database with accession number (CDNC01000001-CDNC01000051) under the study accession number: PRJEB5300. The aim of the sequencing was to identify genes that are linked to pathogenicity and virulence in related bacteria, to strengthen the hypothesis that bacteria of the genus causes digital dermatitis in cattle. Almost nothing is known about virulence factors of treponemes involved in digital dermatitis. Table 2 contains the summary of the project information.
Table 2

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityDraft
MIGS-28Libraries used454 Single end reads, Illumina paired end reads
MIGS 29Sequencing platforms454, Illumina hiseq
MIGS 31.2Fold coverage25×, 100×
MIGS 30AssemblersNewbler
MIGS 32Gene calling methodProdigal
Locus TagTPHV1
GeneBank IDCDNC00000000
GenBank Date of Release18-01-2015
GOLD IDGp0092386
BIOPROJECTPRJEB5300
MIGS 13Source Material IdentifierNot reported
Project relevancePotential pathogen
Project information

Growth conditions and genomic DNA preparation

'' V1 was grown in flasks containing 10 ml FABGS (LAB071 fastidious anaerobe broth, LabM, with 2.0 g D-glucose per liter and 25 % fetal calf serum, S 0115, Biochrom AG), and incubated in anaerobic jars at 37 °C, 90 rpm. Genomic DNA was prepared with the DNeasy Blood & Tissue Kit (QIAGEN) following the protocol for Gram-negative bacteria [17]. The DNA concentration measured by Picodrop Microliter UV/Vis Spectrophotometer was 566 ng μl−1.

Genome sequencing and assembly

The genomic sequence was obtained using a combination of Roche 454 GS FLX sequencing platform at the Royal Institute of Technlogy in Stockholm and Illumina HiSeq 2000 at the Uppsala sequencing platform. For Illumina sequencing three different libraries were used with the insert size of 160 bp, 305 bp and 505 bp. A total of 306,592 reads with the average read length of 300 bp were obtained from 454 sequencing and 60,174,091, 61,097,083, and 71,967,626 reads from the 160, 305 and 505 bp insert size libraries, respectively, from the Illumina sequencing. Subsets of reads from all three libraries were generated using a custom perl script to lower the coverage before performing assembly. Four different assemblies were produced, these include (i) hybrid assembly of 454 reads and Illumina reads from 160 bp insert size library (ii) hybrid assembly of 454 reads and Illumina reads from 305 bp insert size library (iii) hybrid assembly of 454 reads and Illumina reads from 505 bp insert size library (iv) 454 reads assembly. The resulting assemblies varied in size from 2.9 to 3.1 Mbp with the average GC content of 39 %. Assembly was performed with the GS de novo assembler version 2.5.3 (Roche) using reads from each Illumina paired end library and the 454 sequencing. Resulting assemblies were compared using the MAUVE genome alignment tool [19]. The hybrid assembly produced from 454 reads and Illumina reads from 305 bp insert size library was selected for further analysis. Selection was based on N50 statistics, number of contigs and the length of the largest contig. Assembly statistics of all assemblies are provided in supporting Additional file 1: Table S1. Scaffolding of the selected assembly was performed using SSPACE [20] and possible removal of gaps present in scaffolds was done using Gapfiller [21] and. Homopolymer errors were corrected manually using Consed [22].

Genome annotation

The structural and functional annotation was accomplished via the Magnifying Genome (MaGe) Annotation Platform [23]. Prediction of tRNA and rRNA genes was performed using tRNAscan-SE version 1.23 [24] and RNAmmer version 1.2 [25], respectively. Putative functions of the encoding genes were assigned automatically by MAGE′s inbuilt BlastP searches against the UniProt and Trembl, TIGR-Fam, Pfam, PRIAM, COG and InterPro databases. Putative phage prediction was performed using PHAST (PHAge Search Tool) webserver [26]. Proteins with signal peptides were predicted using SignalP v 4.1 [27] and TMHMM Server, v.2.0 [28] was used to predict transmembrane helices in the protein sequences.

Genome properties

The draft genome assembly comprised 60 contigs in 51 scaffolds with a total size of 3,129,551 bp (Fig. 3) that corresponds well to the size of two previously sequenced ‘’ strains, 4A isolated from bovine digital dermatitis and F0421 isolated from human urogenitalia, with the assembly sizes of 3,027,773 and 2,830,421 respectively. The G + C content of the assembly was 39.9 %. In total 3,222 genes were predicted, of which 3,157 were protein coding genes. Table 3 contains the general genomic features. The classification of the protein coding genes in different COG categories is shown in Table 4.
Fig. 3

Circular representation of genome; Circular map (from the outside to the center): (1) GC percent deviation (GC window - mean GC) in a 1000-bp window. (2) Predicted CDSs transcribed in the clockwise direction. (3) Predicted CDSs transcribed in the counterclockwise direction. (4) GC skew (G + C/G-C) in a 1000-bp window. (5) rRNA (blue), tRNA (green), miscRNA (orange), Transposable elements (pink) and pseudogenes (grey)

Table 3

Genome statistics

AttributeValue% of Total
Genome size (bp)3,129,551100.0
DNA coding (bp)2,623,39283.8
DNA G + C (bp)1,249,39239.9
DNA scaffolds51100.0
Total genes3,222100.0
Protein coding genes3,15798
RNA genes511.6
Pseudo genes90.3
Genes in internal clusters
Genes with function prediction1,54748
Genes assigned to COGs2,05163.7
Genes with Pfam domains1,78855.5
Genes with signal peptides1875.8
Genes with transmembrane helices79124.5
CRISPR repeats
Table 4

Number of genes associated with general COG functional categories

CodeValue%ageDescription
J1524.8Translation, ribosomal structure and biogenesis
A00.0RNA processing and modification
K1324.2Transcription
L2638.3Replication, recombination and repair
B00.0Chromatin structure and dynamics
D331.0Cell cycle control, Cell division, chromosome partitioning
V742.3Defense mechanisms
T1394.4Signal transduction mechanisms
M1233.9Cell wall/membrane biogenesis
N1023.2Cell motility
U411.3Intracellular trafficking and secretion
O852.3Posttranslational modification, protein turnover, chaperones
C1143.6Energy production and conversion
G2237.0Carbohydrate transport and metabolism
E1564.9Amino acid transport and metabolism
F571.8Nucleotide transport and metabolism
H571.8Coenzyme transport and metabolism
I411.3Lipid transport and metabolism
P1193.7Inorganic ion transport and metabolism
Q150.5Secondary metabolites biosynthesis, transport and catabolism
R3139.8General function prediction only
S1705.4Function unknown
-111535.2Not in COGs

The total is based on the total number of protein coding genes in the genome

Circular representation of genome; Circular map (from the outside to the center): (1) GC percent deviation (GC window - mean GC) in a 1000-bp window. (2) Predicted CDSs transcribed in the clockwise direction. (3) Predicted CDSs transcribed in the counterclockwise direction. (4) GC skew (G + C/G-C) in a 1000-bp window. (5) rRNA (blue), tRNA (green), miscRNA (orange), Transposable elements (pink) and pseudogenes (grey) Genome statistics Number of genes associated with general COG functional categories The total is based on the total number of protein coding genes in the genome

Insights from the genome sequence

Potential pathogenicity related factors

Putative pathogenicity related proteins that are present in the genomes of [29] and [30] were predicted in ‘’ strain V1. Protein sequences from strain Nichols (accession number NC_000919) and strain ATCC 35405 (accession number NC_002967) were used to perform blast searches against the predicted proteins of '' V1. These contained genes that encode for putative adhesins, antigens and a major sheath protein (Additional file 2: Table S2). Also, 22 CDS encoding chemotaxis and motility proteins, 17 CDS encoding transposases, 2 CDS encoding hemolysins and 3 putative prophages were predicted in the '' genome annotation. Lipoproteins are considered to be of special attention in spirochetes because of their abundance in different spirochetal genera including [31]. Several of them localize to the bacterial surface and are considered as important vaccine targets. Lipoprotein prediction was thus performed separately using the SpLip server [32] that predicted 155 probable lipoproteins. The predicted lipoproteins were then Blasted against the proteins in all bacteria. Two lipoproteins with homology to known virulence related or antigenic proteins in other treponemes were expressed in and are being used in ongoing studies.

Conclusions

The genome sequence of ‘’ strain V1 provides useful information on potential virulence related and antigenic proteins, which may help to establish the role of treponemes in digital dermatits in cattle. They may also be used in development of diagnostic tools and prevention strategies for the disease. Comparative studies with genome sequences of treponemes in general and ‘’ isolates from digital dermatitis lesions in particular, can be performed. The V1 genome sequence may also prove useful for classification purposes.
  41 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  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

Review 3.  Spirochaetal lipoproteins and pathogenesis.

Authors:  D A Haake
Journal:  Microbiology       Date:  2000-07       Impact factor: 2.777

4.  MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Authors:  Koichiro Tamura; Glen Stecher; Daniel Peterson; Alan Filipski; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-10-16       Impact factor: 16.240

5.  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

Review 6.  Phylogenetic foundation of spirochetes.

Authors:  B J Paster; F E Dewhirst
Journal:  J Mol Microbiol Biotechnol       Date:  2000-10

7.  Assessing economic consequences of foot disorders in dairy cattle using a dynamic stochastic simulation model.

Authors:  M R N Bruijnis; H Hogeveen; E N Stassen
Journal:  J Dairy Sci       Date:  2010-06       Impact factor: 4.034

8.  Toward almost closed genomes with GapFiller.

Authors:  Marten Boetzer; Walter Pirovano
Journal:  Genome Biol       Date:  2012-06-25       Impact factor: 13.583

9.  PHAST: a fast phage search tool.

Authors:  You Zhou; Yongjie Liang; Karlene H Lynch; Jonathan J Dennis; David S Wishart
Journal:  Nucleic Acids Res       Date:  2011-06-14       Impact factor: 16.971

10.  Isolation and characterization of Treponema phagedenis-like spirochetes from digital dermatitis lesions in Swedish dairy cattle.

Authors:  Märit Pringle; Christer Bergsten; Lise-Lotte Fernström; Helena Höök; Karl-Erik Johansson
Journal:  Acta Vet Scand       Date:  2008-10-20       Impact factor: 1.695

View more
  3 in total

1.  Characterization of Treponema denticola Major Surface Protein (Msp) by Deletion Analysis and Advanced Molecular Modeling.

Authors:  M Paula Goetting-Minesky; Valentina Godovikova; Wei Zheng; J Christopher Fenno
Journal:  J Bacteriol       Date:  2022-08-01       Impact factor: 3.476

2.  Immunotopological Analysis of the Treponema denticola Major Surface Protein (Msp).

Authors:  Valentina Godovikova; M Paula Goetting-Minesky; John C Timm; J Christopher Fenno
Journal:  J Bacteriol       Date:  2018-12-20       Impact factor: 3.490

3.  Multilocus Sequence Typing of Pathogenic Treponemes Isolated from Cloven-Hoofed Animals and Comparison to Treponemes Isolated from Humans.

Authors:  Simon R Clegg; Stuart D Carter; Richard J Birtles; Jennifer M Brown; C Anthony Hart; Nicholas J Evans
Journal:  Appl Environ Microbiol       Date:  2016-07-15       Impact factor: 4.792

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.