Cellular Protein/Peptide Expression Profiles (PEPs): an alternative approach for easy identification of cyanobacterial species

DOI: 10.5584/jiomics.v3i2.138

Authors

  • Fred Wang-Fat Lee The Proteomic Task Force, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong
  • Kin Chung Ho School of Science and Technology, The Open University of Hong Kong, Hong Kong
  • Daniel Yun-Lam Mak The Proteomic Task Force, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong
  • Junrong Liang Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, and School of Life Sciences, Xiamen University, Xiamen 361005, China
  • Changping Chen Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, and School of Life Sciences, Xiamen University, Xiamen 361005, China
  • Yahui Gao Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, and School of Life Sciences, Xiamen University, Xiamen 361005, China
  • Samuel Chun-Lap Lo The Proteomic Task Force, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong

Abstract

 

Cyanobacterial harmful algal blooms (CyanoHABs) are recognized as an expanding and serious global problem that threatens human health. Timely and accurate identification of cyanobacteria is of vital importance for public health. Morphologic characteristics of cyanobacteria have been used for classical taxonomic studies and identification purposes. However, misidentification may occur either due to subjective judgment by the operators or inability to recognize natural variations of morphotypes. To circumvent problems of  morphology-based identification methods, we reported previously a rapid and simple method for the identification of dinoflagellates using protein/peptide expression profiles (PEPs) of whole cell protein extracts generated by MALDI-TOF-MS (Lee FWF et. al., 2008).  In the present study, we applied this method in the identification of harmful cyanobacteria. Our results showed that various species of the cyanobacteria can be easily distinguished from each other using their PEPs.

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Published

2013-10-22

Issue

Vol. 3 No. 2 (2013): Vol 3, No 2 (2013)

Section

Articles