Detailed analysis of the fatty acid composition of six plant-pathogenic bacteria

J Chromatogr B Analyt Technol Biomed Life Sci. 2021 Jan 1:1162:122454. doi: 10.1016/j.jchromb.2020.122454. Epub 2020 Dec 3.

Abstract

Bacteria show distinct and characteristic fatty acid (FA) patterns which can be modified by environmental conditions. In this study, we cultivated six plant-pathogenic bacteria of agricultural concern and performed a detailed analysis of the fatty acid composition. The study covered four strains of the gram-negative Xanthomonas campestris pathovar (pv) campestris (Xcc), Xanthomonas perforans (Xp), Acidovorax citrulli (Ac) and Pseudomonas syringae pv. tomato (Pst), and two strains of the gram-positive Clavibacter michiganensis subsp. michiganensis (Cmm) and Streptomyces scabies (Ssc). After cultivation, freeze-dried bacteria samples were transesterified and analysed by gas chromatography with mass spectrometry in full scan and selected ion monitoring (SIM) modes. Altogether, 44 different FAs were detected in the six strains with individual contributions of 0.01-43.8% to the total FAs. The variety in the six strains ranged between 12 and 31 individual FAs. The FA composition of Xcc, Xp, Cmm and Ssc were dominated by iso- and anteiso-fatty acids (especially i15:0, a15:0, i16:0), which is typical for most bacteria. In contrast to this, Ac and Pst showed only saturated and monounsaturated FAs. Four of the six bacteria showed similar FA patterns as reported before in the literature. Differences were observed in the case of Cmm where many more FAs were detected in the present study. In addition, to the best of our knowledge, the FA pattern of Xp was presented for the first time.

Keywords: A. citrulli; C. michiganensis; Fatty acid pattern; Iso-/anteiso-fatty acid; P. syringae; Plant-pathogenic bacteria; S. scabies; X. campestris; X. perforans.

MeSH terms

  • Bacteria / chemistry*
  • Bacteria / pathogenicity
  • Crops, Agricultural / microbiology*
  • Fatty Acids / analysis*
  • Fatty Acids / chemistry
  • Limit of Detection
  • Linear Models
  • Plant Diseases / microbiology*
  • Reproducibility of Results

Substances

  • Fatty Acids