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BY-NC-ND 3.0 license Open Access Published by De Gruyter Open Access April 30, 2014

Identification of proteins involved in starch and polygalacturonic acid degradation using LC/MS

  • Raimonda Petkauskaite EMAIL logo , Dangiras Lukosius , Janusz Dębski , Andrius Jasilionis , Michał Dadlez , Ieva Kieraite , Ana Timonina and Nomeda Kuisiene
From the journal Open Life Sciences


Plant biomass in the form of cheap wastes, such as straw, corn stalks, wood chips, sawdust, bagasse, pomace, etc., is abundant throughout the world. To convert these wastes into the useful value-added compounds microbial enzymes are the preferred choice. In this paper, we identify enzymes involved in the degradation of starch and polygalacturonic acid using liquid chromatography/mass spectrometry based analysis. We analysed total protein from soil and compost samples. Extracellular proteins from enrichment cultures were analysed in parallel and used as controls in the sample preparation and identification of proteins. In general, both protein sequence coverage and the number of identified peptides were higher in the samples obtained from the enrichment cultures than from the total protein from soil and compost. The influence of the nature of gel (zymography vs. SDS/polyacrylamide) was negligible. Thus, starch and polygalacturonic acid degradation associated proteins can be directly excised from the zymograms without the need to align zymograms with the SDS/polyacrylamide gels. A range of starch and polygalacturonic acid degradation associated enzymes were identified in both total protein samples and extracellular proteins from the enrichment cultures. Our results show that proteins involved in starch and polygalacturonic acid degradation can be identified by liquid chromatography/mass spectrometry from the complex protein mixtures both with and without cultivation of microorganism

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Published Online: 2014-4-30
Published in Print: 2014-7-1

© 2014 Versita Warsaw

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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