Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters
BACKGROUND: The development of biological processes that replace the existing petrochemical-based industry is one of the biggest challenges in biotechnology. Aspergillus niger is one of the main industrial producers of lignocellulolytic enzymes, which are used in the conversion of lignocellulosic feedstocks into fermentable sugars. Both the hydrolytic enzymes responsible for lignocellulose depolymerisation and the molecular mechanisms controlling their expression have been well described, but little is known about the transport systems for sugar uptake in A. niger. Understanding the transportome of A. niger is essential to achieve further improvements at strain and process design level. Therefore, this study aims to identify and classify A. niger sugar transporters, using newly developed tools for in silico and in vivo analysis of its membrane-associated proteome. RESULTS: In the present research work, a hidden Markov model (HMM), that shows a good performance in the identification and segmentation of functionally validated glucose transporters, was constructed. The model (HMMgluT) was used to analyse the A. niger membrane-associated proteome response to high and low glucose concentrations at a low pH. By combining the abundance patterns of the proteins found in the A. niger plasmalemma proteome with their HMMgluT scores, two new putative high-affinity glucose transporters, denoted MstG and MstH, were identified. MstG and MstH were functionally validated and biochemically characterised by heterologous expression in a S. cerevisiae glucose transport null mutant. They were shown to be a high-affinity glucose transporter (K m = 0.5 ± 0.04 mM) and a very high-affinity glucose transporter (K m = 0.06 ± 0.005 mM), respectively. CONCLUSIONS: This study, focusing for the first time on the membrane-associated proteome of the industrially relevant organism A. niger, shows the global response of the transportome to the availability of different glucose concentrations. Analysis of the A. niger transportome with the newly developed HMMgluT showed to be an efficient approach for the identification and classification of new glucose transporters
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Aspergillus Niger, Glucose transporters, HMM<inf>gluT</inf>, Hidden Markov models, Membrane-associated proteome, MstG, MstH, Shotgun proteomics, Transportome, |
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dig-wur-nl-wurpubs-4928712024-12-04 Sloothaak, J. Odoni, D.I. de Graaff, L.H. Martins dos Santos, V.A.P. Schaap, P.J. Tamayo Ramos, J.A. Article/Letter to editor Biotechnology for Biofuels 8 (2015) ISSN: 1754-6834 Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters 2015 BACKGROUND: The development of biological processes that replace the existing petrochemical-based industry is one of the biggest challenges in biotechnology. Aspergillus niger is one of the main industrial producers of lignocellulolytic enzymes, which are used in the conversion of lignocellulosic feedstocks into fermentable sugars. Both the hydrolytic enzymes responsible for lignocellulose depolymerisation and the molecular mechanisms controlling their expression have been well described, but little is known about the transport systems for sugar uptake in A. niger. Understanding the transportome of A. niger is essential to achieve further improvements at strain and process design level. Therefore, this study aims to identify and classify A. niger sugar transporters, using newly developed tools for in silico and in vivo analysis of its membrane-associated proteome. RESULTS: In the present research work, a hidden Markov model (HMM), that shows a good performance in the identification and segmentation of functionally validated glucose transporters, was constructed. The model (HMMgluT) was used to analyse the A. niger membrane-associated proteome response to high and low glucose concentrations at a low pH. By combining the abundance patterns of the proteins found in the A. niger plasmalemma proteome with their HMMgluT scores, two new putative high-affinity glucose transporters, denoted MstG and MstH, were identified. MstG and MstH were functionally validated and biochemically characterised by heterologous expression in a S. cerevisiae glucose transport null mutant. They were shown to be a high-affinity glucose transporter (K m = 0.5 ± 0.04 mM) and a very high-affinity glucose transporter (K m = 0.06 ± 0.005 mM), respectively. CONCLUSIONS: This study, focusing for the first time on the membrane-associated proteome of the industrially relevant organism A. niger, shows the global response of the transportome to the availability of different glucose concentrations. Analysis of the A. niger transportome with the newly developed HMMgluT showed to be an efficient approach for the identification and classification of new glucose transporters en application/pdf https://research.wur.nl/en/publications/aspergillus-niger-membrane-associated-proteome-analysis-for-the-i 10.1186/s13068-015-0317-9 https://edepot.wur.nl/362254 Aspergillus Niger Glucose transporters HMM<inf>gluT</inf> Hidden Markov models Membrane-associated proteome MstG MstH Shotgun proteomics Transportome https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
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Aspergillus Niger Glucose transporters HMM<inf>gluT</inf> Hidden Markov models Membrane-associated proteome MstG MstH Shotgun proteomics Transportome Aspergillus Niger Glucose transporters HMM<inf>gluT</inf> Hidden Markov models Membrane-associated proteome MstG MstH Shotgun proteomics Transportome |
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Aspergillus Niger Glucose transporters HMM<inf>gluT</inf> Hidden Markov models Membrane-associated proteome MstG MstH Shotgun proteomics Transportome Aspergillus Niger Glucose transporters HMM<inf>gluT</inf> Hidden Markov models Membrane-associated proteome MstG MstH Shotgun proteomics Transportome Sloothaak, J. Odoni, D.I. de Graaff, L.H. Martins dos Santos, V.A.P. Schaap, P.J. Tamayo Ramos, J.A. Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters |
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BACKGROUND: The development of biological processes that replace the existing petrochemical-based industry is one of the biggest challenges in biotechnology. Aspergillus niger is one of the main industrial producers of lignocellulolytic enzymes, which are used in the conversion of lignocellulosic feedstocks into fermentable sugars. Both the hydrolytic enzymes responsible for lignocellulose depolymerisation and the molecular mechanisms controlling their expression have been well described, but little is known about the transport systems for sugar uptake in A. niger. Understanding the transportome of A. niger is essential to achieve further improvements at strain and process design level. Therefore, this study aims to identify and classify A. niger sugar transporters, using newly developed tools for in silico and in vivo analysis of its membrane-associated proteome. RESULTS: In the present research work, a hidden Markov model (HMM), that shows a good performance in the identification and segmentation of functionally validated glucose transporters, was constructed. The model (HMMgluT) was used to analyse the A. niger membrane-associated proteome response to high and low glucose concentrations at a low pH. By combining the abundance patterns of the proteins found in the A. niger plasmalemma proteome with their HMMgluT scores, two new putative high-affinity glucose transporters, denoted MstG and MstH, were identified. MstG and MstH were functionally validated and biochemically characterised by heterologous expression in a S. cerevisiae glucose transport null mutant. They were shown to be a high-affinity glucose transporter (K m = 0.5 ± 0.04 mM) and a very high-affinity glucose transporter (K m = 0.06 ± 0.005 mM), respectively. CONCLUSIONS: This study, focusing for the first time on the membrane-associated proteome of the industrially relevant organism A. niger, shows the global response of the transportome to the availability of different glucose concentrations. Analysis of the A. niger transportome with the newly developed HMMgluT showed to be an efficient approach for the identification and classification of new glucose transporters |
format |
Article/Letter to editor |
topic_facet |
Aspergillus Niger Glucose transporters HMM<inf>gluT</inf> Hidden Markov models Membrane-associated proteome MstG MstH Shotgun proteomics Transportome |
author |
Sloothaak, J. Odoni, D.I. de Graaff, L.H. Martins dos Santos, V.A.P. Schaap, P.J. Tamayo Ramos, J.A. |
author_facet |
Sloothaak, J. Odoni, D.I. de Graaff, L.H. Martins dos Santos, V.A.P. Schaap, P.J. Tamayo Ramos, J.A. |
author_sort |
Sloothaak, J. |
title |
Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters |
title_short |
Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters |
title_full |
Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters |
title_fullStr |
Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters |
title_full_unstemmed |
Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters |
title_sort |
aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters |
url |
https://research.wur.nl/en/publications/aspergillus-niger-membrane-associated-proteome-analysis-for-the-i |
work_keys_str_mv |
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