MALDI TOF MS-profiling: Applications for bacterial and plant sample differentiation and biological variability assessment

Autor: I. R. I. Santos, Angela Mehta, Jonny Everson Scherwinski-Pereira, Osmundo B. Oliveira-Neto, Lílian S.T. Carmo, Daiane Gonzaga Ribeiro, Luciano P. Silva, Raphael Ferreira Almeida
Rok vydání: 2019
Předmět:
Zdroj: Journal of proteomics. 213
ISSN: 1876-7737
Popis: In this study, we evaluated the potential use of MALDI-TOF MS Profiling for the differentiation of biological samples submitted to different treatments. We compared the bacterium Xanthomonas campestris pv. campestris (Xcc), grown in culture medium and in vivo (recovered from the plant). Plant samples were also analyzed and included explants at different somatic embryogenesis (SE) stages, as well as leaves from Brassica oleracea and Arabidopsis thaliana inoculated with Xcc, at different time points. The results showed that bacteria and highly divergent plant samples, such as those from embryogenic stages, can be unequivocally differentiated and the clustering was in accordance with proteomic analysis performed by 2-DE. These results show an important application of MALDI-TOF MS Profiling to select and prioritize samples to be analyzed prior to more complex approaches including transcriptomics and proteomics. We also show that in plant-pathogen interactions, when more subtle differences are obtained, the main contribution of MALDI-TOF MS Profiling is in the assessment of experimental variability. This is relevant since reproducibility is a challenging issue when dealing with complex experimental conditions such as plant-pathogen interactions. We propose the use of MALDI-TOF MS Profiling to aid researchers in minimizing experimental variability unrelated to the condition being analyzed. SIGNIFICANCE: MALDI-Profiling offers an inexpensive, rapid and reliable approach for investigating the protein profile to assess sample differentiation and experimental variability in microorganisms and plants and can be highly useful to analyze samples prior to more complex and expensive techniques such as proteomics and transcriptomics.
Databáze: OpenAIRE