1887

Abstract

A bacterial strain, named For3, was isolated from forest soil sampled in Champenoux, France. Based on its 16S rRNA gene sequence, the strain was affiliated to the family and, more specifically, to the genus . The strain had 99.93% 16S rRNA gene sequence similarity to its closest relative strains ATCC 33331, ATCC 27416, NRRL ISP-5322 and NRRL B-16504. The phylogenomic tree using the genome distance phylogeny method showed that the closest relative strain was NRRL ISP-5137 and that For3 represents a new branch among the . Genome relatedness indexes revealed that the average nucleotide identity and digital DNA–DNA hybridization values between For3 and its closest phylogenomic relative ( NRRL ISP-5137) were 88.39 and 39.2 %, respectively. The G+C content of the genome was 71.4 mol% and its size was 7.96 Mb with 7492 protein-coding genes. Strain For3 harboured complete metabolic pathways absent in the closest relative strains such as cellulose biosynthesis, glycogen degradation I, glucosylglycerate biosynthesis I. Anteiso-C, iso-C, anteiso-C and MK-9(H4)/MK-9(H6) were the predominant cellular fatty acids and respiratory quinones, respectively. Phenotypic and genomic data supported the assignment of strain For3 to a novel species sp. nov., within the genus , for which the type strain is For3 (=CIP 111908=LMG 32186).

Funding
This study was supported by the:
  • la fondation de france et la fondation du site paris-reims
    • Principle Award Recipient: NotApplicable
  • 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.0.005147
2021-12-10
2024-04-25
Loading full text...

Full text loading...

/deliver/fulltext/ijsem/71/12/ijsem005147.html?itemId=/content/journal/ijsem/10.1099/ijsem.0.005147&mimeType=html&fmt=ahah

References

  1. Challis GL. Exploitation of the Streptomyces coelicolor A3(2) genome sequence for discovery of new natural products and biosynthetic pathways. J Ind Microbiol Biotechnol 2014; 41:219–232 [View Article]
    [Google Scholar]
  2. Zhao G-Z, Li J, Qin S, Huang H-Y, Zhu W-Y et al. Streptomyces artemisiae sp. nov., isolated from surface-sterilized tissue of Artemisia annua L. Int J Syst Evol Microbiol 2010; 60:27–32 [View Article] [PubMed]
    [Google Scholar]
  3. Cortés-Albayay C, Dorador C, Schumann P, Andrews B, Asenjo J et al. Streptomyces huasconensis sp. nov., an haloalkalitolerant actinobacterium isolated from a high altitude saline wetland at the Chilean Altiplano. Int J Syst Evol Microbiol 2019; 69:2315–2322 [View Article] [PubMed]
    [Google Scholar]
  4. Lu L, Zeng G, Fan C, Zhang J, Chen A et al. Diversity of two-domain laccase-like multicopper oxidase genes in Streptomyces spp.: identification of genes potentially involved in extracellular activities and lignocellulose degradation during composting of agricultural waste. Appl Environ Microbiol 2014; 80:3305–3314 [View Article] [PubMed]
    [Google Scholar]
  5. Book AJ, Lewin GR, McDonald BR, Takasuka TE, Doering DT et al. Cellulolytic Streptomyces strains associated with herbivorous insects share a phylogenetically linked capacity to degrade lignocellulose. Appl Environ Microbiol 2014; 80:4692–4701 [View Article] [PubMed]
    [Google Scholar]
  6. Montella S, Ventorino V, Lombard V, Henrissat B, Pepe O et al. Discovery of genes coding for carbohydrate-active enzyme by metagenomic analysis of lignocellulosic biomasses. Sci Rep 2017; 7:42623 [View Article] [PubMed]
    [Google Scholar]
  7. Olanrewaju OS, Babalola OO. Streptomyces: implications and interactions in plant growth promotion. Appl Microbiol Biotechnol 2019; 103:1179–1188 [View Article] [PubMed]
    [Google Scholar]
  8. Shirling EB, Gottlieb D. Methods for characterization of Streptomyces species. Int J Syst Bacteriol 1966; 16:313–340 [View Article]
    [Google Scholar]
  9. Nakamura Y, Ono E, Kohda T, Shibai H. Two new carbapenem antibiotic-producing actinomycetes: Kitasatosporia papulosa sp. nov. and Kitasatosporia grisea sp. nov. J Antibiot 1989; 42:18–29 [View Article] [PubMed]
    [Google Scholar]
  10. Erwin GS, Heikkinen J, Halimaa P, Haber CL. Streptomyces lasalocidi sp. nov. (formerly Streptomyces lasaliensis), an actinomycete isolated from soil which produces the polyether antibiotic lasalocid. Int J Syst Evol Microbiol 2020; 70:3076–3083 [View Article] [PubMed]
    [Google Scholar]
  11. Kim M, Oh H-S, Park S-C, Chun J. Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int J Syst Evol Microbiol 2014; 64:346–351 [View Article] [PubMed]
    [Google Scholar]
  12. Thompson JD, Gibson TJ, Higgins DG. Multiple sequence alignment using ClustalW and ClustalX. Curr Prot Bioinform 2002; 00: [View Article]
    [Google Scholar]
  13. Kumar S, Stecher G, Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Mol Biol Evol 2016; 33:1870–1874 [View Article]
    [Google Scholar]
  14. Nindita Y, Cao Z, Fauzi AA, Teshima A, Misaki Y et al. The genome sequence of Streptomyces rochei 7434AN4, which carries a linear chromosome and three characteristic linear plasmids. Sci Rep 2019; 9:1–11 [View Article] [PubMed]
    [Google Scholar]
  15. Romero-Rodríguez A, Robledo-Casados I, Sánchez S. An overview on transcriptional regulators in Streptomyces. Biochimica et Biophysica Acta 2015; 1849:1017–1039 [View Article]
    [Google Scholar]
  16. Alanjary M, Steinke K, Ziemert N. AutoMLST: an automated web server for generating multi-locus species trees highlighting natural product potential. Nucleic Acids Res 2019; 47:W276–W282 [View Article] [PubMed]
    [Google Scholar]
  17. Richter M, Rosselló-Móra R, Oliver Glöckner F, Peplies J. JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics 2016; 32:929–931 [View Article] [PubMed]
    [Google Scholar]
  18. Giuffrè A, Borisov VB, Arese M, Sarti P, Forte E. Cytochrome bd oxidase and bacterial tolerance to oxidative and nitrosative stress. Biochimica et Biophysica Acta 2014; 1837:1178–1187 [View Article]
    [Google Scholar]
  19. Meier-Kolthoff JP, Klenk H-P, Göker M. Taxonomic use of DNA G+C content and DNA-DNA hybridization in the genomic age. Int J Syst Evol Microbiol 2014; 64:352–356 [View Article] [PubMed]
    [Google Scholar]
  20. Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. PNAS 2009; 106:19126–19131 [View Article]
    [Google Scholar]
  21. Teeling H, Waldmann J, Lombardot T, Bauer M, Glöckner FO. TETRA: a web-service and a stand-alone program for the analysis and comparison of tetranucleotide usage patterns in DNA sequences. BMC Bioinformatics 2004; 5:163 [View Article]
    [Google Scholar]
  22. Ju K-S, Gao J, Doroghazi JR, Wang K-KA, Thibodeaux CJ et al. Discovery of phosphonic acid natural products by mining the genomes of 10,000 actinomycetes. Proc Natl Acad Sci USA 2015; 112:12175–12180 [View Article]
    [Google Scholar]
  23. Rong X, Doroghazi JR, Cheng K, Zhang L, Buckley DH et al. Classification of Streptomyces phylogroup pratensis (Doroghazi and Buckley, 2010) based on genetic and phenotypic evidence, and proposal of Streptomyces pratensis sp. nov. Syst Appl Microbiol 2013; 36:401–407 [View Article] [PubMed]
    [Google Scholar]
  24. Stefanowicz A. The biolog biolog plates technique as a tool in ecological studies of microbial cobiolog plates technique as a tool in ecological studies of microbial communities. Pol J Environ Stud 2006; 15:669–676
    [Google Scholar]
  25. Shirling EB, Gottlieb D. Cooperative description of type cultures of Streptomyces.: II. Species descriptions from first study. Int J Syst Bacteriol 1968; 18:69–189 [View Article]
    [Google Scholar]
  26. Skarbek JD, Brady LR. Preliminary taxonomic study of members of the order Actinomycetales that produce antibiotics of the aureolic acid group. Int J Syst Bacteriol 1978; 28:54–66 [View Article]
    [Google Scholar]
  27. Miller LT. Single derivatization method for routine analysis of bacterial whole-cell fatty acid methyl esters, including hydroxy acids. J Clin Microbiol 1982; 16:584–586 [View Article] [PubMed]
    [Google Scholar]
  28. Kuykendall LD, Roy MA, O’neill JJ, Devine TE. Fatty acids, antibiotic resistance, and deoxyribonucleic acid homology groups of Bradyrhizobium japonicum. Int J Syst Bacteriol 1988; 38:358–361 [View Article]
    [Google Scholar]
  29. Tindall BJ. Lipid composition of Halobacterium lacusprofundi. FEMS Microbiol Lett 1990; 66:199–202 [View Article]
    [Google Scholar]
  30. Tindall BJ. A comparative study of the lipid composition of Halobacterium saccharovorum from various sources. Syst Applied Microbiol 1990; 13:128–130 [View Article]
    [Google Scholar]
  31. Hasegawa T, Takizawa M, Tanida S. A rapid analysis for chemical grouping of aerobic actinomycetes. J Gen Appl Microbiol 1983; 29:319–322 [View Article]
    [Google Scholar]
  32. Leite CQ, de Souza CW, Leite SR. Identification of mycobacteria by thin layer chromatographic analysis of mycolic acids and conventional biochemical method: four years of experience. Mem Inst Oswaldo Cruz 1998; 93:801–805 [View Article] [PubMed]
    [Google Scholar]
  33. Leyh-Bouille M, Bonaly R, Ghuysen JM, Tinelli R, Tipper D. LL-Diaminopimelic acid containing peptidoglycans in walls of Streptomyces sp. and of Clostridium perfringens (type A). Biochemistry 1970; 9:2944–2952 [View Article] [PubMed]
    [Google Scholar]
  34. Kumar S, Stecher G, Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Mol Biol Evol 2016; 33:1870–1874 [View Article] [PubMed]
    [Google Scholar]
  35. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 1987; 4:406–425 [View Article] [PubMed]
    [Google Scholar]
  36. Lefort V, Desper R, Gascuel O. FastME 2.0: a comprehensive, accurate, and fast distance-based phylogeny inference program. Mol Biol Evol 2015; 32:2798–2800 [View Article] [PubMed]
    [Google Scholar]
  37. Farris JS. Estimating phylogenetic trees from distance matrices. American Naturalist 1972; 106:645–668 [View Article]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/ijsem/10.1099/ijsem.0.005147
Loading
/content/journal/ijsem/10.1099/ijsem.0.005147
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