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Protein Network Signatures Associated with Exogenous Biofuels Treatments in Cyanobacterium Synechocystis sp. PCC 6803
Although recognized as a promising microbial cell factory for producing biofuels, current productivity in cyanobacterial systems is low. To make the processes economically feasible, one of the hurdles, which need to be overcome is the low tolerance of hosts to toxic biofuels. Meanwhile, little infor...
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Published in: | Frontiers in bioengineering and biotechnology 2014-11, Vol.2, p.48-48 |
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description | Although recognized as a promising microbial cell factory for producing biofuels, current productivity in cyanobacterial systems is low. To make the processes economically feasible, one of the hurdles, which need to be overcome is the low tolerance of hosts to toxic biofuels. Meanwhile, little information is available regarding the cellular responses to biofuels stress in cyanobacteria, which makes it challenging for tolerance engineering. Using large proteomic datasets of Synechocystis under various biofuels stress and environmental perturbation, a protein co-expression network was first constructed and then combined with the experimentally determined protein-protein interaction network. Proteins with statistically higher topological overlap in the integrated network were identified as common responsive proteins to both biofuels stress and environmental perturbations. In addition, a weighted gene co-expression network analysis was performed to distinguish unique responses to biofuels from those to environmental perturbations and to uncover metabolic modules and proteins uniquely associated with biofuels stress. The results showed that biofuel-specific proteins and modules were enriched in several functional categories, including photosynthesis, carbon fixation, and amino acid metabolism, which may represent potential key signatures for biofuels stress responses in Synechocystis. Network-based analysis allowed determination of the responses specifically related to biofuels stress, and the results constituted an important knowledge foundation for tolerance engineering against biofuels in Synechocystis. |
doi_str_mv | 10.3389/fbioe.2014.00048 |
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Proteins with statistically higher topological overlap in the integrated network were identified as common responsive proteins to both biofuels stress and environmental perturbations. In addition, a weighted gene co-expression network analysis was performed to distinguish unique responses to biofuels from those to environmental perturbations and to uncover metabolic modules and proteins uniquely associated with biofuels stress. The results showed that biofuel-specific proteins and modules were enriched in several functional categories, including photosynthesis, carbon fixation, and amino acid metabolism, which may represent potential key signatures for biofuels stress responses in Synechocystis. 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PCC 6803</title><title>Frontiers in bioengineering and biotechnology</title><addtitle>Front Bioeng Biotechnol</addtitle><description>Although recognized as a promising microbial cell factory for producing biofuels, current productivity in cyanobacterial systems is low. To make the processes economically feasible, one of the hurdles, which need to be overcome is the low tolerance of hosts to toxic biofuels. Meanwhile, little information is available regarding the cellular responses to biofuels stress in cyanobacteria, which makes it challenging for tolerance engineering. Using large proteomic datasets of Synechocystis under various biofuels stress and environmental perturbation, a protein co-expression network was first constructed and then combined with the experimentally determined protein-protein interaction network. Proteins with statistically higher topological overlap in the integrated network were identified as common responsive proteins to both biofuels stress and environmental perturbations. In addition, a weighted gene co-expression network analysis was performed to distinguish unique responses to biofuels from those to environmental perturbations and to uncover metabolic modules and proteins uniquely associated with biofuels stress. The results showed that biofuel-specific proteins and modules were enriched in several functional categories, including photosynthesis, carbon fixation, and amino acid metabolism, which may represent potential key signatures for biofuels stress responses in Synechocystis. Network-based analysis allowed determination of the responses specifically related to biofuels stress, and the results constituted an important knowledge foundation for tolerance engineering against biofuels in Synechocystis.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>AMINO ACIDS</subject><subject>Bioengineering and Biotechnology</subject><subject>BIOFUELS</subject><subject>CYANOBACTERIA</subject><subject>DISTURBANCES</subject><subject>network</subject><subject>NETWORK ANALYSIS</subject><subject>Synechocystis</subject><subject>tolerance</subject><subject>WGCNA</subject><issn>2296-4185</issn><issn>2296-4185</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkkFv1DAQhSMEolXpnROyxIXLLraTOPYFqUQFKlVQqeVsjZ3xrks2XmyHsv8ed7dU7cmW_eabmadXVW8ZXda1VB-d8QGXnLJmSSlt5IvqmHMlFg2T7csn96PqNKXbImG87VrJX1dHvG1oyxp1XM1XMWT0E_mO-S7EX-TarybIc8REzlIK1kPGgdz5vCbnf8MKpzAn8tkHN-OYyE1EyBucciKF0e9gCgZsxujnDbneTWjXwe5S9omk7ZJc9T0RktZvqlcOxoSnD-dJ9fPL-U3_bXH54-tFf3a5sGU-uVBoHOVG1F1tpKJcAnRMKcaQd0qZRnJjuLQtsAEVAFDupAKUg3ENONrWJ9XFgTsEuNXb6DcQdzqA1_uHEFcaYvZ2RM3lIFA6Rx24xlADXCg3oGSiEyCMLKxPB9Z2NhscbFk6wvgM-vxn8mu9Cn90w1nXtnUBvD8AQvFDJ-tzcceGqZiUNedCSsq6ovrw0CaG3zOmrDc-WRxHmLBYr5ngggnRsaZI6UFqY0gponschlF9HxG9j4i-j4jeR6SUvHu6xGPB_0DU_wA-q7nX</recordid><startdate>20141103</startdate><enddate>20141103</enddate><creator>Pei, Guangsheng</creator><creator>Chen, Lei</creator><creator>Wang, Jiangxin</creator><creator>Qiao, Jianjun</creator><creator>Zhang, Weiwen</creator><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>OTOTI</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20141103</creationdate><title>Protein Network Signatures Associated with Exogenous Biofuels Treatments in Cyanobacterium Synechocystis sp. 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Proteins with statistically higher topological overlap in the integrated network were identified as common responsive proteins to both biofuels stress and environmental perturbations. In addition, a weighted gene co-expression network analysis was performed to distinguish unique responses to biofuels from those to environmental perturbations and to uncover metabolic modules and proteins uniquely associated with biofuels stress. The results showed that biofuel-specific proteins and modules were enriched in several functional categories, including photosynthesis, carbon fixation, and amino acid metabolism, which may represent potential key signatures for biofuels stress responses in Synechocystis. 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subjects | 60 APPLIED LIFE SCIENCES AMINO ACIDS Bioengineering and Biotechnology BIOFUELS CYANOBACTERIA DISTURBANCES network NETWORK ANALYSIS Synechocystis tolerance WGCNA |
title | Protein Network Signatures Associated with Exogenous Biofuels Treatments in Cyanobacterium Synechocystis sp. PCC 6803 |
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