1887

Abstract

Five bacterial strains were isolated from symptomatic leaves of , sp. and sp. in California. Colonies isolated on King’s medium B (KMB) appeared white, mucoid and round, similar to species. Phylogenetic analyses based on 16S rRNA, , and genes placed the bacteria into three distinct groups within that were most closely related to , or . To further characterize the strains, phenotypic analyses and the following tests were performed: fatty acid methyl ester composition, LOPAT, fluorescence on KMB, Biolog assay, and transmission electron microscopy. Finally, whole genome sequencing of the strains was conducted, and the sequences were compared with reference genomes of species based on average nucleotide identity (ANI). The first group, which consists of three strains isolated from delphinium, hydrangea and achillea, had 95.6–96.9 % pairwise ANI between each other; the second group consists of two strains isolated from delphinium that had 100 % pairwise ANI. Although comparisons of the two groups with publicly available genomes revealed closest relationships with (91.6 %), (88.3 %) and (86.7 %), ANI values were less than 95 % compared to all validly published pseudomonads. Combining genomic and phenotypic data, we conclude that these strains represent two new species and the names proposed are sp. nov. (type strain DSMZ 11 30 42=LMG 32 434) for the strains isolated from delphinium, achillea and hydrangea and sp. nov. (DSMZ 11 30 43=LMG 32 432) for the two strains isolated from delphinium. The specific epithets and were selected based on the close phylogenetic relationship of strains with and on the geographic location of isolation, respectively.

  • This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.005565
2022-11-02
2024-05-04
Loading full text...

Full text loading...

/deliver/fulltext/ijsem/72/11/ijsem005565.html?itemId=/content/journal/ijsem/10.1099/ijsem.0.005565&mimeType=html&fmt=ahah

References

  1. Palleroni NJ. Introduction to the family Pseudomonadaceae. In Stolp H, Truper HG, Balows A, MP S, Schlegel HG. eds The Prokaryotes Berlin Heidelberg: Springer; 1981 pp 655–665
    [Google Scholar]
  2. Silby MW, Winstanley C, Godfrey SAC, Levy SB, Jackson RW. Pseudomonas genomes: diverse and adaptable. FEMS Microbiol Rev 2011; 35:652–680 [View Article] [PubMed]
    [Google Scholar]
  3. Parte AC, Sardà Carbasse J, Meier-Kolthoff JP, Reimer LC, Göker M. List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. Int J Syst Evol Microbiol 2020; 70:5607–5612 [View Article] [PubMed]
    [Google Scholar]
  4. Timilsina S, Minsavage GV, Preston J, Newberry EA, Paret ML et al. Pseudomonas floridensis sp. nov., a bacterial pathogen isolated from tomato. Int J Syst Evol Microbiol 2018; 68:64–70 [View Article] [PubMed]
    [Google Scholar]
  5. Tchagang CF, Xu R, Overy D, Blackwell B, Chabot D et al. Diversity of bacteria associated with corn roots inoculated with Canadian woodland soils, and description of Pseudomonas aylmerense sp. nov. Heliyon 2018; 4:e00761 [View Article]
    [Google Scholar]
  6. Palleroni NJ. Pseudomonas classification. a new case history in the taxonomy of Gram-negative bacteria. Antonie van Leeuwenhoek 1993; 64:231–251 [View Article]
    [Google Scholar]
  7. Stead DE. Grouping of plant-pathogenic and some other Pseudomonas spp. by using cellular fatty acid profiles. Int J Syst Bacteriol 1992; 42:281–295 [View Article]
    [Google Scholar]
  8. Gomila M, Peña A, Mulet M, Lalucat J, García-Valdés E. Phylogenomics and systematics in Pseudomonas. Front Microbiol 2015; 6:1–13 [View Article] [PubMed]
    [Google Scholar]
  9. Moore WEC, Stackebrandt E, Kandler O, Colwell RR, Krichevsky MI et al. Report of the ad hoc committee on reconciliation of approaches to bacterial systematics. Int J Syst Evol Microbiol 1987; 37:463–464 [View Article]
    [Google Scholar]
  10. Bull CT, Koike ST. Practical benefits of knowing the enemy: modern molecular tools for diagnosing the etiology of bacterial diseases and understanding the taxonomy and diversity of plant-pathogenic bacteria. Annu Rev Phytopathol 2015; 53:157–180 [View Article] [PubMed]
    [Google Scholar]
  11. Gardan L, Shafik H, Belouin S, Broch R, Grimont F et al. DNA relatedness among the pathovars of Pseudomonas syringae and description of Pseudomonas tremae sp. nov. and Pseudomonas cannabina sp. nov. (ex Sutic and Dowson). Int J Syst Bacteriol 1999; 49 Pt 2:469–478 [View Article]
    [Google Scholar]
  12. Rosselló-Móra R, Urdiain M, López-López A. 15 DNA–DNA hybridization taxonomy of prokaryotes. In Rainey F, Oren A. eds Methods in Microbiology Elsevier; 2011 pp 325–347
    [Google Scholar]
  13. Yamamoto S, Harayama S. Phylogenetic relationships of Pseudomonas putida strains deduced from the nucleotide sequences of gyrB, rpoD and 16S rRNA genes. Int J Syst Bacteriol 2017; 488:3–8
    [Google Scholar]
  14. Hilario E, Buckley TR, Young JM. Improved resolution on the phylogenetic relationships among Pseudomonas by the combined analysis of atp D, car A, rec A and 16S rDNA. Antonie van Leeuwenhoek 2004; 86:51–64 [View Article]
    [Google Scholar]
  15. Jonasson J, Olofsson M, Monstein H-J. Classification, identification and subtyping of bacteria based on pyrosequencing and signature matching of 16S rDNA fragments. 2002. APMIS 2007; 115:668–677 [View Article] [PubMed]
    [Google Scholar]
  16. Yamamoto S, Kasai H, Arnold DL, Jackson RW, Vivian A et al. Phylogeny of the genus Pseudomonas: intrageneric structure reconstructed from the nucleotide sequences of gyrB and rpoD genes. Microbiol 2000; 146 (Pt 10):2385–2394 [View Article]
    [Google Scholar]
  17. Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P et al. DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol 2007; 57:81–91 [View Article] [PubMed]
    [Google Scholar]
  18. Busquets A, Gomila M, Beiki F, Mulet M, Rahimian H et al. Pseudomonas caspiana sp. nov., a citrus pathogen in the Pseudomonas syringae phylogenetic group. Syst Appl Microbiol 2017; 40:266–273 [View Article] [PubMed]
    [Google Scholar]
  19. Auch AF, von Jan M, Klenk H-P, Göker M. Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci 2010; 2:117–134 [View Article] [PubMed]
    [Google Scholar]
  20. Henz SR, Huson DH, Auch AF, Nieselt-Struwe K, Schuster SC. Whole-genome prokaryotic phylogeny. Bioinformatics 2005; 21:2329–2335 [View Article] [PubMed]
    [Google Scholar]
  21. Figueras MJ, Beaz-Hidalgo R, Hossain MJ, Liles MR. Taxonomic affiliation of new genomes should be verified using average nucleotide identity and multilocus phylogenetic analysis. Genome Announc 2014; 2:6–7 [View Article] [PubMed]
    [Google Scholar]
  22. Ramasamy D, Mishra AK, Lagier J-C, Padhmanabhan R, Rossi M et al. A polyphasic strategy incorporating genomic data for the taxonomic description of novel bacterial species. Int J Syst Evol Microbiol 2014; 64:384–391 [View Article] [PubMed]
    [Google Scholar]
  23. Bashan Y, Okon Y, Henis Y. Infection studies of Pseudomonas tomato, causal agent of bacterial speck of tomato. Phytoparasitica 1978; 6:135–143 [View Article]
    [Google Scholar]
  24. Stefani E, Caffier D, Fiore N. The economic impact of the bacterial blight of soybean under European agroclimatic conditions. J Plant Pathol 1998; 80:211–218
    [Google Scholar]
  25. Fatmi M, Bougsiba M, Hosni T. Angular leaf spot of cucurbits: a bacterial disease in expansion in Morocco. In Pseudomonas Syringae Pathovars and Related Pathogens – Identification, Epidemiology and Genomics Dordrecht: Springer; 2008
    [Google Scholar]
  26. Ravindran A, Jalan N, Yuan JS, Wang N, Gross DC. Comparative genomics of Pseudomonas syringae pv. syringae strains B301D and HS191 and insights into intrapathovar traits associated with plant pathogenesis. Microbiologyopen 2015; 4:553–573 [View Article] [PubMed]
    [Google Scholar]
  27. Gutiérrez-Barranquero JA, Cazorla FM, de Vicente A. Pseudomonas syringae pv. syringae associated with mango trees, a particular pathogen within the “Hodgepodge” of the Pseudomonas syringae complex. Front Plant Sci 2019; 10:1–20 [View Article]
    [Google Scholar]
  28. Preston GM. Pseudomonas syringae pv. tomato: the right pathogen, of the right plant, at the right time. Mol Plant Pathol 2000; 1:263–275 [View Article] [PubMed]
    [Google Scholar]
  29. Lamichhane JR, Messéan A, Morris CE. Insights into epidemiology and control of diseases of annual plants caused by the Pseudomonas syringae species complex. J Gen Plant Pathol 2015; 81:331–350 [View Article]
    [Google Scholar]
  30. Koike ST, Bolda MP, Bull CT. Pseudomonas blight caused by Pseudomonas syringae on raspberry in California. Plant Dis 2014; 98:1151 [View Article]
    [Google Scholar]
  31. Kansas State University Agricultural Experiment Station and Cooperative Extension Service Problem: Pseudomonas blight of trees and shrubs - Pseudomonas syringae; 2020
  32. McGovern RJ, Elmer WH. Handbook of Plant Disease Management Berlin/Heidelberg: Springer; 2018
    [Google Scholar]
  33. Gregersen T. Rapid method for distinction of Gram-negative from Gram-positive bacteria. European J Appl Microbiol Biotechnol 1978; 5:123–127 [View Article]
    [Google Scholar]
  34. Pei AY, Oberdorf WE, Nossa CW, Agarwal A, Chokshi P et al. Diversity of 16S rRNA genes within individual prokaryotic genomes. Appl Environ Microbiol 2010; 76:3886–3897 [View Article] [PubMed]
    [Google Scholar]
  35. Agaras BC, Valverde C. A novel oligonucleotide pair for genotyping members of the Pseudomonas genus by single-round PCR amplification of the gyrB gene. MPs 1978; 1:24 [View Article]
    [Google Scholar]
  36. Ait Tayeb L, Ageron E, Grimont F, Grimont PAD. Molecular phylogeny of the genus Pseudomonas based on rpoB sequences and application for the identification of isolates. Res Microbiol 2005; 156:763–773 [View Article] [PubMed]
    [Google Scholar]
  37. Mulet M, Bennasar A, Lalucat J, García-Valdés E. An rpoD-based PCR procedure for the identification of Pseudomonas species and for their detection in environmental samples. Mol Cell Probes 2009; 23:140–147 [View Article] [PubMed]
    [Google Scholar]
  38. Katoh K, Misawa K, Kuma K, Miyata T. MAFFT: a novel method for rapid multiple sequence alignment based on fast fourier transform. Nucleic Acids Res 2002; 30:3059–3066 [View Article] [PubMed]
    [Google Scholar]
  39. Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol 2000; 17:540–552 [View Article] [PubMed]
    [Google Scholar]
  40. Talavera G, Castresana J. Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Syst Biol 2007; 56:564–577 [View Article] [PubMed]
    [Google Scholar]
  41. Miller MA, Pfeiffer W, Schwartz T. The CIPRES science gateway: a community resource for phylogenetic analyses. In Proc TeraGrid 2011 Conf Extrem Digit Discov 2011
    [Google Scholar]
  42. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014; 30:1312–1313 [View Article]
    [Google Scholar]
  43. Lalucat J, Mulet M, Gomila M, García-Valdés E. Genomics in bacterial taxonomy: impact on the genus Pseudomonas. Genes 2020; 11:139 [View Article]
    [Google Scholar]
  44. Fulton JC, Klein JM, Bec S, Fayette J, Garrett KA et al. Draft genome sequences of plant-pathogenic Klebsiella variicola strains isolated from plantain in Haiti. Microbiol Resour Announc 2020; 9:19–20 [View Article]
    [Google Scholar]
  45. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012; 19:455–477 [View Article]
    [Google Scholar]
  46. Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci 2009; 106:19126–19131 [View Article]
    [Google Scholar]
  47. Stephen F. A, Thomas L. M, Alejandro A. S, Jinghui Z, Zheng Zhang WM DJL et al. A new generation of protein database search programs. Nucleic Acids Res 1997; 25:3389–3402
    [Google Scholar]
  48. Lelliott RA, Billing E, Hayward AC. A determinative scheme for the fluorescent plant pathogenic pseudomonads. J Appl Bacteriol 1966; 29:470–489 [View Article]
    [Google Scholar]
  49. Jones JB, McCarter SM, Stall RE. Pseudomonas viridiflava: causal agent of bacterial leaf blight of tomato. Plant Dis 1984; 68:341 [View Article]
    [Google Scholar]
  50. Schaad NW, Jones JB, Chun W. Laboratory Guide for the Identification of Plant Pathogenic Bacteria St Paul, MN: American Phytopathological Society; 2001
    [Google Scholar]
  51. Preston-Mafham J, Boddy L, Randerson PF. Analysis of microbial community functional diversity using sole-carbon-source utilisation profiles - a critique. FEMS Microbiol Ecol 2002; 42:1–14 [View Article]
    [Google Scholar]
  52. Trüper HG. How to name a prokaryote?: etymological considerations, proposals and practical advice in prokaryote nomenclature. FEMS Microbiol Rev 1999; 23:231–249 [View Article]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/ijsem/10.1099/ijsem.0.005565
Loading
/content/journal/ijsem/10.1099/ijsem.0.005565
Loading

Data & Media loading...

Supplements

Supplementary material 1

PDF
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error