4.7 Article

Insights into the changes in chemical compositions of the cell wall of pear fruit infected by Alternaria alternata with confocal Raman microspectroscopy

期刊

POSTHARVEST BIOLOGY AND TECHNOLOGY
卷 132, 期 -, 页码 119-129

出版社

ELSEVIER
DOI: 10.1016/j.postharvbio.2017.05.012

关键词

Pear; Alternaria alternata; Cell wall; Raman imaging; Topochemical change

资金

  1. International S & T Cooperation Program of China [2015DFA71150]
  2. Collaborative Innovation Major Special Projects of Guangzhou City [201508020097, 201604020007, 201604020057]
  3. Guangdong Provincial Science and Technology Plan Projects [2015A020209016, 2016A040403040]
  4. Key Projects of Administration of Ocean and Fisheries of Guangdong Province [A201401C04]
  5. National Key Technologies R D Program [2015BAD19B03]
  6. International and Hong Kong- Macau-Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology Equipment [2015KGJHZ001]
  7. Guangdong Provincial R & D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products
  8. Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products [2016LM2154]

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In this paper, fresh pear fruits and those infected by Alternaria alternate (A. alternate) were studied by confocal Raman microspectroscopy (CRM) to illustrate the changes in chemical compositions of cell wall. Firstly, Raman spectra of the cell wall of both fresh and infected fruits were collected with spatial resolution at micron level, and then label-free in situ imaging of chemical compositions in the cell wall were mapped. The results showed that there were significant changes in the signal intensity of cell wall, especially in the later stage of A. alternate infection. After 8 days of infection at room temperature, the signal intensities at 1086 and 871 cm(-1), which were associated with cellulose and pectin, were decreased by 58.50% and 58.67%, respectively, revealing changes in the main components of the infected cell wall infected. Meanwhile, the chemical images of the cell wall of both fresh and infected fruits were compared, indicating that A. alternate infection caused the alterations of morphological structure and chemical compositions in the cell wall in a time-dependent manner. Our results confirmed that CRM is a useful tool for the identification of compositional changes in the cell wall caused by fungal infection without the need for any chemical treatment. For the first time, the current research applied CRM in phytopathology for investigating interactive relationship between a pathogen and its host, thus offering a new way for in-depth study of pathogen-host interactions at cellular level.

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