
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Cellulase activity mapping of Trichoderma reesei cultivated in sugar mixtures under fed-batch conditions

Cellulase activity mapping of Trichoderma reesei cultivated in sugar mixtures under fed-batch conditions
On-site cellulase production using locally available lignocellulosic biomass (LCB) is essential for cost-effective production of 2nd-generation biofuels. Cellulolytic enzymes (cellulases and hemicellulases) must be produced in fed-batch mode in order to obtain high productivity and yield. To date, the impact of the sugar composition of LCB hydrolysates on cellulolytic enzyme secretion has not been thoroughly investigated in industrial conditions.The effect of sugar mixtures (glucose, xylose, inducer) on the secretion of cellulolytic enzymes by a glucose-derepressed and cellulase-hyperproducing mutant strain of Trichoderma reesei (strain CL847) was studied using a small-scale protocol representative of the industrial conditions. Since production of cellulolytic enzymes is inducible by either lactose or cellobiose, two parallel mixture designs were performed separately. No significant difference between inducers was observed on cellulase secretion performance, probably because a common induction mechanism occurred under carbon flux limitation. The characteristics of the enzymatic cocktails did not correlate with productivity, but instead were rather dependent on the substrate composition. Increasing xylose content in the feed had the strongest impact. It decreased by 2-fold cellulase, endoglucanase, and cellobiohydrolase activities and by 4-fold β-glucosidase activity. In contrast, xylanase activity was increased 6-fold. Accordingly, simultaneous high β-glucosidase and xylanase activities in the enzymatic cocktails seemed to be incompatible. The variations in enzymatic activity were modelled and validated with four fed-batch cultures performed in bioreactors. The overall enzyme production was maintained at its highest level when substituting up to 75% of the inducer with non-inducing sugars.The sugar substrate composition strongly influenced the composition of the cellulolytic cocktail secreted by T. reesei in fed-batch mode. Modelling can be used to predict cellulolytic activity based on the sugar composition of the culture-feeding solution, or to fine tune the substrate composition in order to produce a desired enzymatic cocktail.
- French Institute for Research in Computer Science and Automation France
- French Institute of Petroleum France
- Institut Pascal France
- BioMed Central (United Kingdom) United Kingdom
- Clermont Université France
Carbon flux limitation, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, INFO_BT] Computer Science/Biotechnology [[INFO], Trichoderma reesei, Fed-batch cultivation, Bioethanol, [PHYS.PHYS.PHYS-CHEM-PH] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph], INFO_BT] Informatique/Biotechnologie [[INFO], Cellulase, On-site enzyme production, [INFO.INFO-BT]Computer Science [cs]/Biotechnology, Xylanase, Research, [SDV.BIO] Life Sciences/Biotechnology, [PHYS.PHYS.PHYS-CHEM-PH] Physics/Physics/Chemical Physics, BIO] Sciences du Vivant/Biotechnologies [[SDV], BIO] Life Sciences/Biotechnology [[SDV], PHYS:PHYS_CHEM-PH] Physique/Physique/Chimie-Physique [[PHYS], [SDV.BIO] Life Sciences [q-bio]/Biotechnology, [INFO.INFO-BT] Computer Science [cs]/Biotechnology, Inducer, β-glucosidase, [INFO.INFO-BT] Computer Science/Biotechnology, PHYS:PHYS_CHEM-PH] Physics/Physics/Chemical Physics [[PHYS], [PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph], Sugar mixture, Industrial protocol
Carbon flux limitation, [SDV.BIO]Life Sciences [q-bio]/Biotechnology, INFO_BT] Computer Science/Biotechnology [[INFO], Trichoderma reesei, Fed-batch cultivation, Bioethanol, [PHYS.PHYS.PHYS-CHEM-PH] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph], INFO_BT] Informatique/Biotechnologie [[INFO], Cellulase, On-site enzyme production, [INFO.INFO-BT]Computer Science [cs]/Biotechnology, Xylanase, Research, [SDV.BIO] Life Sciences/Biotechnology, [PHYS.PHYS.PHYS-CHEM-PH] Physics/Physics/Chemical Physics, BIO] Sciences du Vivant/Biotechnologies [[SDV], BIO] Life Sciences/Biotechnology [[SDV], PHYS:PHYS_CHEM-PH] Physique/Physique/Chimie-Physique [[PHYS], [SDV.BIO] Life Sciences [q-bio]/Biotechnology, [INFO.INFO-BT] Computer Science [cs]/Biotechnology, Inducer, β-glucosidase, [INFO.INFO-BT] Computer Science/Biotechnology, PHYS:PHYS_CHEM-PH] Physics/Physics/Chemical Physics [[PHYS], [PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph], Sugar mixture, Industrial protocol
29 Research products, page 1 of 3
- 2009IsAmongTopNSimilarDocuments
- 2010IsAmongTopNSimilarDocuments
- 2013IsAmongTopNSimilarDocuments
- 2011IsAmongTopNSimilarDocuments
- 2007IsAmongTopNSimilarDocuments
- 2013IsAmongTopNSimilarDocuments
- 2011IsAmongTopNSimilarDocuments
- 2013IsAmongTopNSimilarDocuments
chevron_left - 1
- 2
- 3
chevron_right
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).43 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 10%
