Metabolic Flux Analysis and Principal Nodes Identification for Daptomycin Production Improvement by Streptomyces roseosporus
In the present work, a comprehensive metabolic network of Streptomyces roseosporus LC-54-20 was proposed for daptomycin production. The analysis of extracellular metabolites throughout the batch fermentation was evaluated in addition to daptomycin and biomass production. Metabolic flux distributions...
Gespeichert in:
| Veröffentlicht in: | Applied biochemistry and biotechnology 2011-12, Vol.165 (7-8), p.1725-1739 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1739 |
|---|---|
| container_issue | 7-8 |
| container_start_page | 1725 |
| container_title | Applied biochemistry and biotechnology |
| container_volume | 165 |
| creator | Huang, Di Jia, Xiaoqiang Wen, Jianping Wang, Guoying Yu, Guanghai Caiyin, Qinggele Chen, Yunlin |
| description | In the present work, a comprehensive metabolic network of
Streptomyces roseosporus
LC-54-20 was proposed for daptomycin production. The analysis of extracellular metabolites throughout the batch fermentation was evaluated in addition to daptomycin and biomass production. Metabolic flux distributions were based on stoichiometrical reaction as well as the extracellular metabolites fluxes. Experimental and calculated values for both the specific growth rate and daptomycin production rate indicated that the in silico model proved a powerful tool to analyze the metabolic behaviors based on the analysis under different initial glucose concentrations throughout the fermentation. Through manipulating different pH values, the production rates of various extracellular metabolites were also presented in this paper. Flux distribution variations revealed that the daptomycin production could be significantly influenced by the branch points of glucose 6-phosphate, 3-phosphoglycerate, phosphoenolpyruvate, pyruvate, and oxaloacetate. The five principal metabolites were certified as the flexible nodes and could form potential bottlenecks for a further enhancement of daptomycin production. Furthermore, various concentrations of the five precursors were added into the batch fermentation and led to the enhancement of daptomycin concentration and production rate. |
| doi_str_mv | 10.1007/s12010-011-9390-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_926881449</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2514145121</sourcerecordid><originalsourceid>FETCH-LOGICAL-c432t-6166c79e40b73ab9d893a002e39496a6729031488cbceb2c6987027c11e652e53</originalsourceid><addsrcrecordid>eNqFkd1r1TAYxoM43HH6B3gjQZBd1b1J2nxcjs3pgW0K6nVJ07eS0TY1aYcH_OPNsUcHgniVwPN7n_fjIeQFgzcMQJ0lxoFBAYwVRpj8eUQ2rKpMAdywx2QDXImCc22OydOU7gAY15V6Qo45MzKL5Yb8uMHZNqH3jl71y3d6Ptp-l3yidmzpx-hH5yfb09vQYqLbFsfZd97Z2YeRdiHSSzvNYdg5P2Y6tIv7pWyHKYZ7HDJOmx39NEdcsWwSQ8KQphCX9IwcdbZP-PzwnpAvV28_X7wvrj-8216cXxeuFHwuJJPSKYMlNErYxrTaCAvAUZjSSCsVNyBYqbVrHDbcSaNV3s4xhrLiWIkTcrr65qm-LZjmevDJYd_bEcOSasOl1qwszf9JqKTSFYhMvvqLvAtLzNfbQ9lKCSMzxFbI5a1TxK6eoh9s3NUM6n2E9RphnSOs9xHWkGteHoyXZsD2T8XvzDLw-gDY5GzfRZtDSg9cJaAEsW_OVy5lafyK8WHCf3f_Ce72s84</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>904497396</pqid></control><display><type>article</type><title>Metabolic Flux Analysis and Principal Nodes Identification for Daptomycin Production Improvement by Streptomyces roseosporus</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Huang, Di ; Jia, Xiaoqiang ; Wen, Jianping ; Wang, Guoying ; Yu, Guanghai ; Caiyin, Qinggele ; Chen, Yunlin</creator><creatorcontrib>Huang, Di ; Jia, Xiaoqiang ; Wen, Jianping ; Wang, Guoying ; Yu, Guanghai ; Caiyin, Qinggele ; Chen, Yunlin</creatorcontrib><description>In the present work, a comprehensive metabolic network of
Streptomyces roseosporus
LC-54-20 was proposed for daptomycin production. The analysis of extracellular metabolites throughout the batch fermentation was evaluated in addition to daptomycin and biomass production. Metabolic flux distributions were based on stoichiometrical reaction as well as the extracellular metabolites fluxes. Experimental and calculated values for both the specific growth rate and daptomycin production rate indicated that the in silico model proved a powerful tool to analyze the metabolic behaviors based on the analysis under different initial glucose concentrations throughout the fermentation. Through manipulating different pH values, the production rates of various extracellular metabolites were also presented in this paper. Flux distribution variations revealed that the daptomycin production could be significantly influenced by the branch points of glucose 6-phosphate, 3-phosphoglycerate, phosphoenolpyruvate, pyruvate, and oxaloacetate. The five principal metabolites were certified as the flexible nodes and could form potential bottlenecks for a further enhancement of daptomycin production. Furthermore, various concentrations of the five precursors were added into the batch fermentation and led to the enhancement of daptomycin concentration and production rate.</description><identifier>ISSN: 0273-2289</identifier><identifier>EISSN: 1559-0291</identifier><identifier>DOI: 10.1007/s12010-011-9390-0</identifier><identifier>PMID: 21960274</identifier><identifier>CODEN: ABIBDL</identifier><language>eng</language><publisher>New York: Humana Press Inc</publisher><subject>Antibiotics ; Bacteria ; Biochemistry ; Biological and medical sciences ; Biosynthesis ; Biotechnology ; Chemistry ; Chemistry and Materials Science ; Daptomycin - biosynthesis ; Fermentation ; Fluctuations ; Fundamental and applied biological sciences. Psychology ; Glucose-6-Phosphate - metabolism ; Glyceric Acids - metabolism ; Kinetics ; Metabolism ; Metabolites ; Methods. Procedures. Technologies ; Microbial engineering. Fermentation and microbial culture technology ; Phosphoenolpyruvate - metabolism ; Streptomyces ; Streptomyces - metabolism</subject><ispartof>Applied biochemistry and biotechnology, 2011-12, Vol.165 (7-8), p.1725-1739</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-6166c79e40b73ab9d893a002e39496a6729031488cbceb2c6987027c11e652e53</citedby><cites>FETCH-LOGICAL-c432t-6166c79e40b73ab9d893a002e39496a6729031488cbceb2c6987027c11e652e53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12010-011-9390-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12010-011-9390-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25304036$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21960274$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Di</creatorcontrib><creatorcontrib>Jia, Xiaoqiang</creatorcontrib><creatorcontrib>Wen, Jianping</creatorcontrib><creatorcontrib>Wang, Guoying</creatorcontrib><creatorcontrib>Yu, Guanghai</creatorcontrib><creatorcontrib>Caiyin, Qinggele</creatorcontrib><creatorcontrib>Chen, Yunlin</creatorcontrib><title>Metabolic Flux Analysis and Principal Nodes Identification for Daptomycin Production Improvement by Streptomyces roseosporus</title><title>Applied biochemistry and biotechnology</title><addtitle>Appl Biochem Biotechnol</addtitle><addtitle>Appl Biochem Biotechnol</addtitle><description>In the present work, a comprehensive metabolic network of
Streptomyces roseosporus
LC-54-20 was proposed for daptomycin production. The analysis of extracellular metabolites throughout the batch fermentation was evaluated in addition to daptomycin and biomass production. Metabolic flux distributions were based on stoichiometrical reaction as well as the extracellular metabolites fluxes. Experimental and calculated values for both the specific growth rate and daptomycin production rate indicated that the in silico model proved a powerful tool to analyze the metabolic behaviors based on the analysis under different initial glucose concentrations throughout the fermentation. Through manipulating different pH values, the production rates of various extracellular metabolites were also presented in this paper. Flux distribution variations revealed that the daptomycin production could be significantly influenced by the branch points of glucose 6-phosphate, 3-phosphoglycerate, phosphoenolpyruvate, pyruvate, and oxaloacetate. The five principal metabolites were certified as the flexible nodes and could form potential bottlenecks for a further enhancement of daptomycin production. Furthermore, various concentrations of the five precursors were added into the batch fermentation and led to the enhancement of daptomycin concentration and production rate.</description><subject>Antibiotics</subject><subject>Bacteria</subject><subject>Biochemistry</subject><subject>Biological and medical sciences</subject><subject>Biosynthesis</subject><subject>Biotechnology</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Daptomycin - biosynthesis</subject><subject>Fermentation</subject><subject>Fluctuations</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Glucose-6-Phosphate - metabolism</subject><subject>Glyceric Acids - metabolism</subject><subject>Kinetics</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Methods. Procedures. Technologies</subject><subject>Microbial engineering. Fermentation and microbial culture technology</subject><subject>Phosphoenolpyruvate - metabolism</subject><subject>Streptomyces</subject><subject>Streptomyces - metabolism</subject><issn>0273-2289</issn><issn>1559-0291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkd1r1TAYxoM43HH6B3gjQZBd1b1J2nxcjs3pgW0K6nVJ07eS0TY1aYcH_OPNsUcHgniVwPN7n_fjIeQFgzcMQJ0lxoFBAYwVRpj8eUQ2rKpMAdywx2QDXImCc22OydOU7gAY15V6Qo45MzKL5Yb8uMHZNqH3jl71y3d6Ptp-l3yidmzpx-hH5yfb09vQYqLbFsfZd97Z2YeRdiHSSzvNYdg5P2Y6tIv7pWyHKYZ7HDJOmx39NEdcsWwSQ8KQphCX9IwcdbZP-PzwnpAvV28_X7wvrj-8216cXxeuFHwuJJPSKYMlNErYxrTaCAvAUZjSSCsVNyBYqbVrHDbcSaNV3s4xhrLiWIkTcrr65qm-LZjmevDJYd_bEcOSasOl1qwszf9JqKTSFYhMvvqLvAtLzNfbQ9lKCSMzxFbI5a1TxK6eoh9s3NUM6n2E9RphnSOs9xHWkGteHoyXZsD2T8XvzDLw-gDY5GzfRZtDSg9cJaAEsW_OVy5lafyK8WHCf3f_Ce72s84</recordid><startdate>20111201</startdate><enddate>20111201</enddate><creator>Huang, Di</creator><creator>Jia, Xiaoqiang</creator><creator>Wen, Jianping</creator><creator>Wang, Guoying</creator><creator>Yu, Guanghai</creator><creator>Caiyin, Qinggele</creator><creator>Chen, Yunlin</creator><general>Humana Press Inc</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope><scope>7QL</scope><scope>7QO</scope></search><sort><creationdate>20111201</creationdate><title>Metabolic Flux Analysis and Principal Nodes Identification for Daptomycin Production Improvement by Streptomyces roseosporus</title><author>Huang, Di ; Jia, Xiaoqiang ; Wen, Jianping ; Wang, Guoying ; Yu, Guanghai ; Caiyin, Qinggele ; Chen, Yunlin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c432t-6166c79e40b73ab9d893a002e39496a6729031488cbceb2c6987027c11e652e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Antibiotics</topic><topic>Bacteria</topic><topic>Biochemistry</topic><topic>Biological and medical sciences</topic><topic>Biosynthesis</topic><topic>Biotechnology</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Daptomycin - biosynthesis</topic><topic>Fermentation</topic><topic>Fluctuations</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Glucose-6-Phosphate - metabolism</topic><topic>Glyceric Acids - metabolism</topic><topic>Kinetics</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Methods. Procedures. Technologies</topic><topic>Microbial engineering. Fermentation and microbial culture technology</topic><topic>Phosphoenolpyruvate - metabolism</topic><topic>Streptomyces</topic><topic>Streptomyces - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Di</creatorcontrib><creatorcontrib>Jia, Xiaoqiang</creatorcontrib><creatorcontrib>Wen, Jianping</creatorcontrib><creatorcontrib>Wang, Guoying</creatorcontrib><creatorcontrib>Yu, Guanghai</creatorcontrib><creatorcontrib>Caiyin, Qinggele</creatorcontrib><creatorcontrib>Chen, Yunlin</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><jtitle>Applied biochemistry and biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Di</au><au>Jia, Xiaoqiang</au><au>Wen, Jianping</au><au>Wang, Guoying</au><au>Yu, Guanghai</au><au>Caiyin, Qinggele</au><au>Chen, Yunlin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolic Flux Analysis and Principal Nodes Identification for Daptomycin Production Improvement by Streptomyces roseosporus</atitle><jtitle>Applied biochemistry and biotechnology</jtitle><stitle>Appl Biochem Biotechnol</stitle><addtitle>Appl Biochem Biotechnol</addtitle><date>2011-12-01</date><risdate>2011</risdate><volume>165</volume><issue>7-8</issue><spage>1725</spage><epage>1739</epage><pages>1725-1739</pages><issn>0273-2289</issn><eissn>1559-0291</eissn><coden>ABIBDL</coden><abstract>In the present work, a comprehensive metabolic network of
Streptomyces roseosporus
LC-54-20 was proposed for daptomycin production. The analysis of extracellular metabolites throughout the batch fermentation was evaluated in addition to daptomycin and biomass production. Metabolic flux distributions were based on stoichiometrical reaction as well as the extracellular metabolites fluxes. Experimental and calculated values for both the specific growth rate and daptomycin production rate indicated that the in silico model proved a powerful tool to analyze the metabolic behaviors based on the analysis under different initial glucose concentrations throughout the fermentation. Through manipulating different pH values, the production rates of various extracellular metabolites were also presented in this paper. Flux distribution variations revealed that the daptomycin production could be significantly influenced by the branch points of glucose 6-phosphate, 3-phosphoglycerate, phosphoenolpyruvate, pyruvate, and oxaloacetate. The five principal metabolites were certified as the flexible nodes and could form potential bottlenecks for a further enhancement of daptomycin production. Furthermore, various concentrations of the five precursors were added into the batch fermentation and led to the enhancement of daptomycin concentration and production rate.</abstract><cop>New York</cop><pub>Humana Press Inc</pub><pmid>21960274</pmid><doi>10.1007/s12010-011-9390-0</doi><tpages>15</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0273-2289 |
| ispartof | Applied biochemistry and biotechnology, 2011-12, Vol.165 (7-8), p.1725-1739 |
| issn | 0273-2289 1559-0291 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_926881449 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Antibiotics Bacteria Biochemistry Biological and medical sciences Biosynthesis Biotechnology Chemistry Chemistry and Materials Science Daptomycin - biosynthesis Fermentation Fluctuations Fundamental and applied biological sciences. Psychology Glucose-6-Phosphate - metabolism Glyceric Acids - metabolism Kinetics Metabolism Metabolites Methods. Procedures. Technologies Microbial engineering. Fermentation and microbial culture technology Phosphoenolpyruvate - metabolism Streptomyces Streptomyces - metabolism |
| title | Metabolic Flux Analysis and Principal Nodes Identification for Daptomycin Production Improvement by Streptomyces roseosporus |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T19%3A23%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Metabolic%20Flux%20Analysis%20and%20Principal%20Nodes%20Identification%20for%20Daptomycin%20Production%20Improvement%20by%20Streptomyces%20roseosporus&rft.jtitle=Applied%20biochemistry%20and%20biotechnology&rft.au=Huang,%20Di&rft.date=2011-12-01&rft.volume=165&rft.issue=7-8&rft.spage=1725&rft.epage=1739&rft.pages=1725-1739&rft.issn=0273-2289&rft.eissn=1559-0291&rft.coden=ABIBDL&rft_id=info:doi/10.1007/s12010-011-9390-0&rft_dat=%3Cproquest_cross%3E2514145121%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=904497396&rft_id=info:pmid/21960274&rfr_iscdi=true |