Label free quantitative proteomic analysis of secretome by Thermobifida fusca on different lignocellulosic biomass

Solid state fermentation of lignocellulosic biomass by filamentous microorganisms to induced enzyme production has been recognized as an attractive and cost effective technology. The secretion profile of lignocellulolytic enzymes by thermostable filamentous Thermobifida fusca (T. fusca) in solid sta...

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Bibliographic Details
Main Authors: Ravindran, Anita, Dutta, Bamaprasad, Sze, Siu Kwan, Cheow, Esther Sok Hwee, Adav, Sunil S.
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/98582
http://hdl.handle.net/10220/13667
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Institution: Nanyang Technological University
Language: English
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Summary:Solid state fermentation of lignocellulosic biomass by filamentous microorganisms to induced enzyme production has been recognized as an attractive and cost effective technology. The secretion profile of lignocellulolytic enzymes by thermostable filamentous Thermobifida fusca (T. fusca) in solid state fermentation of different lignocellulosic biomasses, such as corn stover, hay; saw dust; sugarcane bagasse; wood chips; and un-dried green plant were explored using label-free exponentially modified protein abundance index (emPAI) based quantitative proteomics. Comparative analyses of T. fusca secretion profiles between cellulose and the various lignocellulosic biomasses showed induced expression of cellulolytic proteins by cellulose, and expression of hemicellulose, pectin and lignin degrading enzymes were induced by lignocellulosic biomasses. The solid state fermentation by T. fusca on lignocellulosic biomasses also revealed increased expressions of various transport proteins and hypothetical proteins. The Bray–Curtis similarity indices, clustering, and multidimensional scaling plot explicated differential protein expressions by T. fusca on different lignocellulosic biomasses, indicating that protein secretion by T. fusca is reliant on substrate complexity.