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Plant Biotechnology Journal
Article . 2011 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Accumulation of recombinant cellobiohydrolase and endoglucanase in the leaves of mature transgenic sugar cane

Authors: Harrison, Mark; Geijskes, Jason; Coleman, Heather; Shand, Kylie; Kinkema, Mark; Palupe, Anthony; Hassall, Rachael; +4 Authors

Accumulation of recombinant cellobiohydrolase and endoglucanase in the leaves of mature transgenic sugar cane

Abstract

SummaryA major strategic goal in making ethanol from lignocellulosic biomass a cost‐competitive liquid transport fuel is to reduce the cost of production of cellulolytic enzymes that hydrolyse lignocellulosic substrates to fermentable sugars. Current production systems for these enzymes, namely microbes, are not economic. One way to substantially reduce production costs is to express cellulolytic enzymes in plants at levels that are high enough to hydrolyse lignocellulosic biomass. Sugar cane fibre (bagasse) is the most promising lignocellulosic feedstock for conversion to ethanol in the tropics and subtropics. Cellulolytic enzyme production in sugar cane will have a substantial impact on the economics of lignocellulosic ethanol production from bagasse. We therefore generated transgenic sugar cane accumulating three cellulolytic enzymes, fungal cellobiohydrolase I (CBH I), CBH II and bacterial endoglucanase (EG), in leaves using the maize PepC promoter as an alternative to maize Ubi1 for controlling transgene expression. Different subcellular targeting signals were shown to have a substantial impact on the accumulation of these enzymes; the CBHs and EG accumulated to higher levels when fused to a vacuolar‐sorting determinant than to an endoplasmic reticulum‐retention signal, while EG was produced in the largest amounts when fused to a chloroplast‐targeting signal. These results are the first demonstration of the expression and accumulation of recombinant CBH I, CBH II and EG in sugar cane and represent a significant first step towards the optimization of cellulolytic enzyme expression in sugar cane for the economic production of lignocellulosic ethanol.

Country
Australia
Keywords

Chloroplasts, Blotting, Western, Genetic Vectors, Molecular Sequence Data, transgenic sugar cane, Endoplasmic Reticulum, Gene Expression Regulation, Enzymologic, Fungal Proteins, Bacterial Proteins, Cellulase, Gene Expression Regulation, Plant, cellulosic ethanol, Cellulose 1,4-beta-Cellobiosidase, Amino Acid Sequence, Cloning, Molecular, Promoter Regions, Genetic, Enzyme Assays, subcellular targeting, recombinant cellulase, Bacteria, Plants, Genetically Modified, Enzyme Activation, Plant Leaves, Aspergillus, gene expression, biofuel

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    85
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
85
Top 10%
Top 10%
Top 1%
Green
gold
Related to Research communities
Energy Research