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Standards in genomic sciences2017; 12; 16; doi: 10.1186/s40793-017-0234-6

Genomic analysis of four strains of Corynebacterium pseudotuberculosis bv. Equi isolated from horses showing distinct signs of infection.

Abstract: The genomes of four strains (MB11, MB14, MB30, and MB66) of the species Corynebacterium pseudotuberculosis biovar equi were sequenced on the Ion Torrent PGM platform, completely assembled, and their gene content and structure were analyzed. The strains were isolated from horses with distinct signs of infection, including ulcerative lymphangitis, external abscesses on the chest, or internal abscesses on the liver, kidneys, and lungs. The average size of the genomes was 2.3 Mbp, with 2169 (Strain MB11) to 2235 (Strain MB14) predicted coding sequences (CDSs). An optical map of the MB11 strain generated using the KpnI restriction enzyme showed that the approach used to assemble the genome was satisfactory, producing good alignment between the sequence observed in vitro and that obtained in silico. In the resulting Neighbor-Joining dendrogram, the C. pseudotuberculosis strains sequenced in this study were clustered into a single clade supported by a high bootstrap value. The structural analysis showed that the genomes of the MB11 and MB14 strains were very similar, while the MB30 and MB66 strains had several inverted regions. The observed genomic characteristics were similar to those described for other strains of the same species, despite the number of inversions found. These genomes will serve as a basis for determining the relationship between the genotype of the pathogen and the type of infection that it causes.
Publication Date: 2017-01-31 PubMed ID: 28163825PubMed Central: PMC5282893DOI: 10.1186/s40793-017-0234-6Google Scholar: Lookup
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Summary

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This study performed a full genomic analysis of four strains of harmful bacterium Corynebacterium pseudotuberculosis, which were isolated from differently infected horses. The findings will help understand the relation between the genetic makeup of this pathogen and the type of infection it causes.

Methodology

  • The researchers examined four strains labeled as MB11, MB14, MB30, and MB66 of Corynebacterium pseudotuberculosis biovar Equi, which were extracted from horses showing distinct signs of infection.
  • These strains were isolated from various types of infections in horses including ulcerative lymphangitis, external abscesses on the chest, and internal abscesses on internal organs such as liver, kidneys, and lungs.
  • The genomes of these four strains were sequenced on the Ion Torrent PGM platform and a complete assembly of their genome was created.

Findings

  • The average size of the genomes was found to be 2.3 Million base pairs (Mbp). The total number of predicted coding sequences (CDSs) ranged from 2169 in strain MB11 to 2235 in strain MB14.
  • The approach used for genome assembly was validated using an optical map of the MB11 strain. The map, generated using the KpnI restriction enzyme, showed good alignment between the observed lab sequence and obtained sequence.
  • In a Neighbor-Joining dendrogram, all four strains were clustered into a single group, indicating their genomic similarity.

Conclusion

  • Structural analysis of the genomes revealed that strains MB11 and MB14 shared a high degree of similarity, while the genomes of strains MB30 and MB66 showed several inversions.
  • Despite these inversions, the observed genomic characteristics were similar to those previously described for other strains of the same species.
  • The sequenced and analyzed genomes in this study are considered crucial for future research to determine the relationship between the genetic structure of this pathogen and the type of infection it causes in horses.

Cite This Article

APA
Baraúna RA, Ramos RTJ, Veras AAO, de Sá PHCG, Guimarães LC, das Graças DA, Carneiro AR, Edman JM, Spier SJ, Azevedo V, Silva A. (2017). Genomic analysis of four strains of Corynebacterium pseudotuberculosis bv. Equi isolated from horses showing distinct signs of infection. Stand Genomic Sci, 12, 16. https://doi.org/10.1186/s40793-017-0234-6

Publication

ISSN: 1944-3277
NlmUniqueID: 101530505
Country: England
Language: English
Volume: 12
Pages: 16

Researcher Affiliations

Baraúna, Rafael A
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.
Ramos, Rommel T J
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.
Veras, Adonney A O
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.
de Sá, Pablo H C G
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.
Guimarães, Luís C
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.
das Graças, Diego A
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.
Carneiro, Adriana R
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.
Edman, Judy M
  • Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA USA.
Spier, Sharon J
  • Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA USA.
Azevedo, Vasco
  • Federal University of Minas Gerais, Institute of Biological Sciences, Laboratory of Cellular and Molecular Genetics, Belo Horizonte, Brazil.
Silva, Artur
  • Federal University of Pará, Institute of Biological Sciences, Center of Genomics and Systems Biology, Belém, Brazil.

References

This article includes 33 references
  1. Biberstein EL, Knight HD, Jang S. Two biotypes of Corynebacterium pseudotuberculosis.. Vet Rec 1971;89:691–2.
    doi: 10.1136/vr.89.26.691pubmed: 5168555google scholar: lookup
  2. Szonyi B, Swinford A, Clavijo A, Ivanek R. Re-emergence of pigeon fever (Corynebacterium pseudotuberculosis) infection in texas horses: epidemiologic investigation of laboratory-diagnosed cases.. J Equine Vet Sci 2014;34(2):281–7.
  3. Kilcoyne I, Spier SJ, Carter CN, Smith JL, Swinford AK, Cohen ND. Frequency of Corynebacterium pseudotuberculosis infection in horses across the United States during a 10-year period.. J Am Vet Med Assoc 2014;245(3):309–14.
    doi: 10.2460/javma.245.3.309pubmed: 25029310google scholar: lookup
  4. Aleman M, Spier SJ, Wilson WD, Doherr M. Retrospective study of Corynebacterium pseudotuberculosis infection in horses: 538 cases.. J Am Vet Med Ass 1996;209:804–9.
    pubmed: 8756884
  5. Spier SJ, Leutenegger CM, Carroll SP, Loye JE, Pusterla JB, Carpenter TE. Use of a real-time polymerase chain reaction-based fluorogenic5′ nuclease assay to evaluate insect vectors of Corynebacterium pseudotuberculosis infections in horses.. Am J Vet Res 2004;65:829–34.
    doi: 10.2460/ajvr.2004.65.829pubmed: 15198224google scholar: lookup
  6. Dorella FA, Pacheco LGC, Oliveira SC, Miyoshi A, Azevedo V. Corynebacterium pseudotuberculosis: microbiology, biochemical properties, pathogenesis and molecular studies of virulence.. Vet Res 2006;37:201–18.
    doi: 10.1051/vetres:2005056pubmed: 16472520google scholar: lookup
  7. Ruimy R, Riegel P, Boiron P, Monteil H, Christen R. Phylogeny of the genus Corynebacterium deduced from analyses of small-subunit ribosomal DNA sequences.. Int J Syst Evol Microbiol 1995;45:740–6.
    pubmed: 7547293
  8. Khamis A, Raoult D, La Scola B. Comparison between rpoB and 16S rRNA gene sequencing for molecular identification of 168 clinical isolates of Corynebacterium.. J Clin Microbiol 2005;43:1934–6.
  9. Pacheco LGC, Pena RR, Castro TLP, Dorella FA, Bahia RC, Carminati R, Frota MNL, Oliveira SC, Meyer R, Alves FSF, Miyoshi A, Azevedo V. Multiplex PCR assay for identification of Corynebacterium pseudotuberculosis from pure cultures and for rapid detection of this pathogen in clinical samples.. J Med Microbiol 2007;56:480–6.
    doi: 10.1099/jmm.0.46997-0pubmed: 17374887google scholar: lookup
  10. Babraham Bioinformatics: FastQC. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/. Accessed 18 Nov 2015.
  11. Chevreux B, Pfisterer T, Drescher B, Driesel AJ, Müller WEG, Wetter T, Suhai S. Using the miraEST assembler for reliable and automated mRNA transcript assembly and SNP detection in sequenced ESTs.. Genome Res 2004;14:1147–59.
    doi: 10.1101/gr.1917404pmc: PMC419793pubmed: 15140833google scholar: lookup
  12. de Sá PHCG, Miranda F, Veras A, de Melo DM, Soares S, Pinheiro K, Guimarães L, Azevedo V, Silva A, Ramos RTJ. GapBlaster – a graphical gap filler for prokaryotes genomes.. PLoS One 2016;11(5):e0155327.
  13. Santos AR, Barbosa E, Fiaux K, Zurita-Turk M, Chaitankar V, Kamapantula B, Abdelzaher A, Ghosh P, Tiwari S, Barve N, Jain N, Barh D, Silva A, Miyoshi A, Azevedo V. Pannotator: an automated tool for annotation of pan-genomes.. Genet Mol Res 2013;12(3):2982–9.
    doi: 10.4238/2013.August.16.2pubmed: 24065654google scholar: lookup
  14. The UniProt Consortium. The universal protein resource (UniProt). Nucl Acids Res 2008;36:D190–5.
    doi: 10.1093/nar/gkm895pmc: PMC2238893pubmed: 18045787google scholar: lookup
  15. Rutherford K, Parkhill J, Crook J, Horsnell T, Rice P, Rajandream MA, Barrell B. Artemis: sequence visualization and annotation.. Bioinformatics 2000;16(10):944–5.
  16. Ramos RTJ, Carneiro AR, Soares SC, Santos AR, Almeida S, Guimarães L, Figueira F, Barbosa E, Tauch A, Azevedo V, Silva A. Tips and tricks for the assembly of a Corynebacterium pseudotuberculosis genome using a semiconductor sequencer.. Microb Biotechnol 2013;6(2):150–6.
    doi: 10.1111/1751-7915.12006pmc: PMC3917457pubmed: 23199210google scholar: lookup
  17. Soares SC, Trost E, Ramos RTJ, Carneiro AR, Santos AR, Pinto AC, Barbosa E, Aburjaile F, Ali A, Diniz CAA, Hassan SS, Fiaux K, Guimarães LC, Bakhtiar SM, Pereira U, Almeida SS, Abreu VAC, Rocha FS, Dorella FA, Miyoshi A, Silva A, Azevedo V, Tauch A. Genome sequence of Corynebacterium pseudotuberculosis biovar equi strain 258 and prediction of antigenic targets to improve biotechnological vaccine production.. J Biotechnol 2013;167(2):135–41.
    doi: 10.1016/j.jbiotec.2012.11.003pubmed: 23201561google scholar: lookup
  18. Baraúna RA, Guimarães LC, Veras AAO, de Sá PHCG, Graças DA, Pinheiro KP, Silva ASS, Folador EL, Benevides LJ, Viana MVC, Carneiro AR, Schneider MPC, Spier SJ, Edman JM, Ramos RTJ, Azevedo V, Silva A. Genome sequence of Corynebacterium pseudotuberculosis MB20 bv. equi isolated from a pectoral abscess of an Oldenburg horse in California.. Genome Announc 2014;2(6):e00977–14.
    doi: 10.1128/genomeA.00977-14pmc: PMC4241654pubmed: 25395628google scholar: lookup
  19. Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.. Nucl Acids Res 1997;25(5):955–64.
    doi: 10.1093/nar/25.5.0955pmc: PMC146525pubmed: 9023104google scholar: lookup
  20. Grant JR, Stothard P. The CGView server: a comparative genomics tool for circular genomes.. Nucl Acids Res 2008;36(2):W181–4.
    doi: 10.1093/nar/gkn179pmc: PMC2447734pubmed: 18411202google scholar: lookup
  21. Carver TJ, Rutherford KM, Berriman M, Rajandream MA, Barrell BG, Parkhill J. ACT: Artemis Comparison Tool.. Bioinformatics 2005;21(16):3422–3.
    doi: 10.1093/bioinformatics/bti553pubmed: 15976072google scholar: lookup
  22. Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya.. Proc Natl Acad Sci U S A 1990;87:4576–9.
    doi: 10.1073/pnas.87.12.4576pmc: PMC54159pubmed: 2112744google scholar: lookup
  23. Goodfellow M. Phylum XXVI. Actinobacteria phyl. nov.. In: Goodfellow M, Kämpfer P, Busse H-J, Trujillo ME, Suzuki K-I, Ludwig W, Whitman WB, editors. Bergey’s manual of systematic bacteriology. 2. New York: Springer; 2001. pp. 119–169.
  24. Stackebrandt E, Rainey FA, Ward-Rainey NL. Proposal for a new hierarchic classification system, Actinobacteria classis nov.. Int J Syst Bacteriol 1997;47:479–91.
    doi: 10.1099/00207713-47-2-479google scholar: lookup
  25. Goodfellow M, Jones AL, Order V. Corynebacteriales ord. nov.. In: Goodfellow M, Kämpfer P, Busse H-J, Trujillo ME, Suzuki K-I, Ludwing W, Whitman WB, editors. Bergey’s manual of systematic bacteriology. 2. New York: Springer; 2012. pp. 235–43.
  26. Oren A, Garrity GM. Validation List No. 164. Listo f new names and new combinations previously effectively, but not validly, published.. Int J Syst Evol Microbiol 2015;65:2017–25.
    doi: 10.1099/ijs.0.000317pubmed: 28056215google scholar: lookup
  27. Lehmann KB, Neumann R. Lehmann’s Medizin, Handatlanten. X Atlas und Grundriss der Bakteriologie und Lehrbuch der speziellen bakteriologischen Diagnostik.. 4. München: J.F. Lehmann; 1907.
  28. Skerman VBD, McGowan V, Sneath PHA. Approved lists of bacterial names.. Int J Sys Bacteriol 1980;30:225–420.
    doi: 10.1099/00207713-30-1-225pubmed: 20806452google scholar: lookup
  29. Lehmann KB, Neumann R. Atlas und Grundriss der Bakteriologie und Lehrbuch der speziellen bakteriologischen Diagnostik.. 1. München: J.F. Lehmann; 1986. pp. 1–448.
  30. Eberson F. A bacteriologic study of the diphtheroid organisms with special reference to Hodgkin’s disease.. J Infect Dis 1918;23:1–42.
    doi: 10.1086/infdis/23.1.1google scholar: lookup
  31. Moura-Costa LF, Bahia RC, Carminati R, Vale VLC, Paule BJA, Portela RW, Freire SM, Nascimento I, Schaer R, Barreto LMS, Meyer R. Evaluation of the humoral and cellular immune response to different antigens of Corynebacterium pseudotuberculosis in Canindé goats and their potential protection against caseous lymphadenitis.. Vet Immunol Immunopathol 2008;126:131–41.
    doi: 10.1016/j.vetimm.2008.06.013pubmed: 18752855google scholar: lookup
  32. Pinto AC, de Sá PHCG, Ramos RTJ, Barbosa S, Barbosa HPM, Carneiro AR, Silva WM, Rocha FS, Santana MP, Castro TLP, Miyoshi A, Schneider MPC, Silva A, Azevedo V. Differential transcriptional profile of Corynebacterium pseudotuberculosis in response to abiotic stress.. BMC Genomics 2014;15:14.
    doi: 10.1186/1471-2164-15-14pmc: PMC3890534pubmed: 24405787google scholar: lookup
  33. Spier SJ, Toth B, Edman J, Quave A, Habasha F, Garrick M, Byrne BA. Survival of Corynebacterium pseudotuberculosis biovar equi in soil.. Veterinary Record 2012.
    pubmed: 22266682doi: 10.1136/vr.100543google scholar: lookup

Citations

This article has been cited 4 times.
  1. Khalid E, Tartor YH, Ammar AM, Abdelaziz R, Mahmmod Y, Abdelkhalek A. Controlling drug-resistant bacteria in Arabian horses: bacteriophage cocktails for treating wound infections. Front Vet Sci 2025;12:1609955.
    doi: 10.3389/fvets.2025.1609955pubmed: 41169678google scholar: lookup
  2. Hiller E, Hörz V, Sting R. Corynebacterium pseudotuberculosis: Whole genome sequencing reveals unforeseen and relevant genetic diversity in this pathogen. PLoS One 2024;19(8):e0309282.
    doi: 10.1371/journal.pone.0309282pubmed: 39186721google scholar: lookup
  3. Sousa TJ, Parise D, Profeta R, Parise MTD, Gomide ACP, Kato RB, Pereira FL, Figueiredo HCP, Ramos R, Brenig B, Costa da Silva ALD, Ghosh P, Barh D, Góes-Neto A, Azevedo V. Re-sequencing and optical mapping reveals misassemblies and real inversions on Corynebacterium pseudotuberculosis genomes. Sci Rep 2019 Nov 8;9(1):16387.
    doi: 10.1038/s41598-019-52695-4pubmed: 31705053google scholar: lookup
  4. Parise D, Parise MTD, Viana MVC, Muñoz-Bucio AV, Cortés-Pérez YA, Arellano-Reynoso B, Díaz-Aparicio E, Dorella FA, Pereira FL, Carvalho AF, Figueiredo HCP, Ghosh P, Barh D, Gomide ACP, Azevedo VAC. First genome sequencing and comparative analyses of Corynebacterium pseudotuberculosis strains from Mexico. Stand Genomic Sci 2018;13:21.
    doi: 10.1186/s40793-018-0325-zpubmed: 30338024google scholar: lookup