Abstract
Utilisation of non-edible, renewable lignocellulosic
biomass for the production of second generation biofuels
and chemicals is hindered especially by the high price of
enzymes needed for biomass degradation. Filamentous fungi
are natural producers of enzymes active against plant
cell wall polymers. Especially the ascomycota fungus
Trichoderma reesei is widely utilised in the industry for
the production of cellulases and hemicellulases. However,
the efficiency of enzyme production needs to be further
improved in order to ensure economical production of
biobased products. Several environmental factors affect
protein production by filamentous fungi. Cellulase and
hemicellulase genes of T. reesei are activated by inducer
molecules derived from different substrates. The need for
cooperation of different hydrolytic enzymes for the total
degradation of plant cell wall material has led to
coordinated expression of these genes. However, the
extent and timing of induction can vary between different
genes and especially the hemicellulase genes are
differentially induced by various substrates. The direct
regulation of cellulase and hemicellulase genes by
transcriptional regulators has been widely studied and
several activators and repressors of these genes have
been characterized in detail. However, little is still
known concerning the exact regulatory pathways and
mechanisms utilised by the fungus for the accurate timing
and composition of the hydrolytic enzymes produced.
In this study, a genome-wide transcriptional analysis of
T. reesei gene expression at different ambient pH
conditions was conducted in order to identify genes
affected by extracellular pH. The role of a T. reesei
orthologue for the characterized pH regulator, PacC, in
the expression of cellulase and hemicellulase genes was
also studied. An extensive induction experiment together
with transcriptional profiling was then utilised to study
the effects of several different substrates on the
expression of genes encoding carbohydrate active enzymes
(CAZy). In addition, transcriptomics data was utilised
for the identification of novel candidate regulators
affecting cellulase and xylanase production by T. reesei.
Transcriptional profiling identified pH as an important
determinant of T. reesei gene expression. Ambient pH was
also found to affect the expression of several cellulase
and hemicellulase genes and more information on the role
of a PacC orthologue in the expression of cellulase and
hemicellulase genes was gained. A profiling study
utilising different substrates as inducers together with
a thorough annotation of the T. reesei CAZy genes
revealed the expression patterns of novel candidate genes
possibly involved in the degradation of different types
of cellulosic and hemicellulosic substrates. In addition,
a phylogenetic analysis indicated that functional
diversification of the carbohydrate active enzymes of T.
reesei is a rather common phenomenon and is reflected in
the differential regulation of the corresponding genes. A
transcription factor gene named ace3 was identified from
the profiling data and was shown to be essential for
cellulase production and for the expression of cellulase
genes. Over-expression of ace3 led to improved production
of cellulase and xylanase activities. Several other
candidate regulators were also identified as interesting
subjects for more detailed studies. Overall, the use of
genome-wide methods increased understanding concerning
the genome organisation of T. reesei and its possible
evolutionary benefits, and enabled identification of
co-regulated genomic regions possibly involved in enzyme
production.
Original language | English |
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Qualification | Doctor Degree |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 29 Oct 2014 |
Place of Publication | Espoo |
Publisher | |
Print ISBNs | 978-951-38-8161-0 |
Electronic ISBNs | 978-951-38-8162-7 |
Publication status | Published - 2014 |
MoE publication type | G5 Doctoral dissertation (article) |
Keywords
- Trichoderma reesei
- cellulase
- hemicellulase
- gene regulation
- transcription factors
- transcriptional profiling
- ambient pH