Short Communication
Differentiation in MALDI-TOF MS and FTIR spectra between two pathovars of Xanthomonas oryzae

https://doi.org/10.1016/j.saa.2014.06.056Get rights and content

Highlights

  • MALDI-TOF MS revealed the difference between two pathovars of Xanthomonas oryzae.

  • FTIR spectra revealed the difference between two pathovars of Xanthomonas oryzae.

  • MALDI-TOF MS and FTIR spectra could differentiate two pathovars of X. oryzae.

Abstract

Xanthomonas oryzae pv. oryzae (Xoo) and Xanthomonas oryzae pv. oryzicola (Xoc) strains are closely related phenotypically and genetically, which make it difficult to differentiate between the two pathovars based on phenotypic and DNA-based methods. In this study, a fast and accurate method was developed based on the differences in MALDI-TOF MS and FTIR spectra between the two pathovars. MALDI-TOF MS analysis revealed that 9 and 10 peaks are specific to Xoo and Xoc, respectively, which can be used as biomarkers to identify and differentiate the two closely related pathovars. Furthermore, FTIR analysis showed that there is a significant difference in both the band frequencies and absorption intensity of various functional groups between the two pathovars. In particular, the 6 peaks at 3433, 2867, 1273, 1065, 983 and 951 cm−1 were specific to the Xoo strains, while one peak at 1572 cm−1 was specific to the Xoc strains. Overall, this study gives the first attempt to identify and differentiate the two pathovars of X. oryzae based on mass and FTIR spectra, which will be helpful for the early detection and prevention of the two rice diseases caused by both X. oryzae pathovars.

Graphical abstract

MALDI-TOF MS protein mass fingerprint of (a) Xanthomonas oryzae pv. oryzicola and (b) Xanthomonas oryzae pv. oryzae. Similar and different marker masses for the identification of (a) and (b) are listed in Table 2. Intensity of ions is shown on the Y axis and the mass (in Daltons) of the ions is shown on the X axis. The m/z values represent mass to charge ratios. The unique peaks positions are marked for each of species in Fig. 1.

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Introduction

Two important rice pathogenic bacteria Xanthomonas oryzae pv. oryzae (Xoo) and Xanthomonas oryzae pv. oryzicola (Xoc) are closely related phenotypically and genetically. For example, the two pathovars were able to cause similar symptoms. Furthermore, there was a high level of phenotypical and genetic diversity among strains of each pathovar. These data suggested that the two pathovars were often not easy to be differentiated based on traditional phenotypic and DNA-based methods [1], [2], [3], [4]. Nowadays, many researches have focused on the development of an effective method for the differentiation of both pathovars of X. oryzae [1], [2], [3], [4], [5], [6]. Indeed, a new primer has been recently designed based on in-depth comparative genome analyses [7]. However, this still require time-consuming PCR procedures.

Fortunately, in recent years, MALDI-TOF MS and Fourier Transform Infrared (FTIR) spectra have been successfully applied in bacterial identification and classification [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]. MALDI-TOF MS allows bacterial identification at the species level by measuring molecular masses of proteins and other components obtained from whole bacterial extracts, while FTIR spectroscopy allows the analysis of small quantities of biomass, simultaneous characterization of different functional groups such as lipids, proteins, nucleic acids and polysaccharides in biological molecules and complex structures and without disturbing the systems, and requires no consumables or reagents [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]. However, little information was available about the applications of MALDI-TOF MS and FTIR spectra in the two rice pathogenic bacteria.

The purpose of this study is to develop a rapid and accurate approach to identify the two closely related pathovars of X. oryzae based on their MALDI-TOF MS and FTIR spectra.

Section snippets

Bacterial strains and culture conditions

The virulent strains of Xoo and Xoc used in this study were isolated from diseased rice leaves, while 10 strains among each species were selected for further analysis in this study (Table 1). The identities of bacterial strains were determined and confirmed based on the analysis of biochemical and physiological characteristics, the whole-cell fatty acid and Biolog carbon utilization as well as 16S rRNA gene sequence [20], [21], [22], [23].

MALDI-TOF MS

Bacterial strains were growed on sucrose peptone agar

Bacterial identity

In this study, the Xoo strains were identified as X. oryzae pv. oryzae with Biolog similarity of 0.71–0.80, FAME similarity of 0.75–0.81, and 16S rRNA sequence similarity of 99%, while the Xoc strains were identified as X. oryzae pv. oryzicola with Biolog similarity of 0.75–0.83, FAME similarity of 0.71–0.85, and 16S rRNA sequence similarity of 99%. However, there was a high similarity in the profile of Biolog and FAME as well as 16S rRNA sequence between the Xoo and Xoc strains, which make

Conclusion

Overall, our results indicated that there was a significant difference in MALDI-TOF MS and FTIR spectra between the two pathovars. In particular, several specific characteristic peaks were determined for each of the two pathovars. Compared to the traditional time-consuming methods, both of the two methods are easy and rapid for comparison of the two pathovars of X. oryzae. Indeed, MALDI-TOF MS is a new proteomics-based strategy, while FTIR spectroscopy is a physic-chemical technique in

Acknowledgements

This work was supported by National Natural Science Foundation of China (31371904), Zhejiang Provincial Natural Science Foundation of China (R13C140001; Y3090150), Zhejiang Provincial Project (2014C32010; 2010R10091), the Fundamental Research Funds for the Central Universities, the Agricultural Ministry of China (nyhyzx 201303015; 201003029; 201003066), the Zhejiang Open Foundation of the Most Important Subjects (KF201328) and Key Subject Construction Program of Zhejiang for Modern Agricultural

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