Growth kinetics of Myceliophthora thermophila M.7·7 in solid‐state cultivation
Aims This work aimed to estimate the growth of Myceliophthora thermophila M.7·7 in solid‐state cultivation (SSC) through quantification of N‐acetyl‐d‐glucosamine (NAG) and enzyme activity. Methods and Results The fungus was cultivated in sugarcane bagasse and wheat bran. A consistent statistical ana...
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Veröffentlicht in: | Journal of applied microbiology 2021-01, Vol.130 (1), p.90-99 |
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creator | Santos Gomes, A.C. Casciatori, F.P. Gomes, E. Costa Carreira Nunes, C. Moretti, M.M.S. Thoméo, J.C. |
description | Aims
This work aimed to estimate the growth of Myceliophthora thermophila M.7·7 in solid‐state cultivation (SSC) through quantification of N‐acetyl‐d‐glucosamine (NAG) and enzyme activity.
Methods and Results
The fungus was cultivated in sugarcane bagasse and wheat bran. A consistent statistical analysis was done to assess the reliability of experimental data. Logistic model equation was fitted to experimental data and growth parameters were estimated. The results showed strong influence of the sample size on NAG and a minimum recommended sample size was identified. Scanning electron microscopy (SEM) was used to identify the strategy of substrate colonization. Wheat bran was attacked firstly, while sugarcane bagasse was consumed after wheat bran depletion. The biomass growth was poorly estimated by secretion kinetics of α‐amylase, endoglucanase, protease and xylanase, but enzyme kinetics were important for understanding substrate colonization.
Conclusions
In conclusion, the NAG concentration was strongly affected by the sample size and sampling procedure. The strategy of fungal colonization on the substrates was well characterized through SEM analysis. The colonization strategy has direct influence on the kinetic parameters of the logistic model. Myceliophthora thermophila has a well‐defined dynamic of enzyme secretion to degrade the substrate, although the kinetics of enzyme secretion has shown not adequate to characterize the kinetics of fungal growth.
Significance and Impact of the Study
The paper provides reliable growth kinetic parameters in the SSC of the cellulase producer fungus M. thermophila M.7·7, as well as a robust analysis on three indirect methods (NAG, enzymes and SEM) for estimation of fungal development. |
doi_str_mv | 10.1111/jam.14774 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2422004336</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2474217719</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2684-608cdbed57275fdd7b0754bb9ff9a03411abd3d14d5194fb2b1f89e4c667c91e3</originalsourceid><addsrcrecordid>eNp10MFKwzAYB_AgipvTgy8gBS966EzSNFmPY-hUNkTQc0mblGa2zUxSx24-gm_j3UfxSYzr9CD4XfIFfvz5-ANwjOAQ-blY8HqICGNkB_RRROMQU4Z3NzsJY8hwDxxYu4AQRTCm-6AXYUogZKQP7qdGr1wZPKlGOpXbQBfBfJ3LSull6UpteOBKaWr_UxUP5kP28c4C1QRWV0p8vr5Zx50M8rZy6oU7pZtDsFfwysqj7TsAj1eXD5PrcHY3vZmMZ2GO6YiEFI5ykUkRM8ziQgiWQRaTLEuKIuEwIgjxTEQCERGjhBQZzlAxSiTJKWV5gmQ0AGdd7tLo51Zal9bK-sMr3kjd2hQTjCEkUUQ9Pf1DF7o1jb_OK0YwYgwlXp13KjfaWiOLdGlUzc06RTD97jn1Paebnr092Sa2WS3Fr_wp1oOLDqxUJdf_J6W343kX-QXsd4go</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2474217719</pqid></control><display><type>article</type><title>Growth kinetics of Myceliophthora thermophila M.7·7 in solid‐state cultivation</title><source>MEDLINE</source><source>Oxford Journals - Connect here FIRST to enable access</source><source>Wiley Blackwell Single Titles</source><creator>Santos Gomes, A.C. ; Casciatori, F.P. ; Gomes, E. ; Costa Carreira Nunes, C. ; Moretti, M.M.S. ; Thoméo, J.C.</creator><creatorcontrib>Santos Gomes, A.C. ; Casciatori, F.P. ; Gomes, E. ; Costa Carreira Nunes, C. ; Moretti, M.M.S. ; Thoméo, J.C.</creatorcontrib><description>Aims
This work aimed to estimate the growth of Myceliophthora thermophila M.7·7 in solid‐state cultivation (SSC) through quantification of N‐acetyl‐d‐glucosamine (NAG) and enzyme activity.
Methods and Results
The fungus was cultivated in sugarcane bagasse and wheat bran. A consistent statistical analysis was done to assess the reliability of experimental data. Logistic model equation was fitted to experimental data and growth parameters were estimated. The results showed strong influence of the sample size on NAG and a minimum recommended sample size was identified. Scanning electron microscopy (SEM) was used to identify the strategy of substrate colonization. Wheat bran was attacked firstly, while sugarcane bagasse was consumed after wheat bran depletion. The biomass growth was poorly estimated by secretion kinetics of α‐amylase, endoglucanase, protease and xylanase, but enzyme kinetics were important for understanding substrate colonization.
Conclusions
In conclusion, the NAG concentration was strongly affected by the sample size and sampling procedure. The strategy of fungal colonization on the substrates was well characterized through SEM analysis. The colonization strategy has direct influence on the kinetic parameters of the logistic model. Myceliophthora thermophila has a well‐defined dynamic of enzyme secretion to degrade the substrate, although the kinetics of enzyme secretion has shown not adequate to characterize the kinetics of fungal growth.
Significance and Impact of the Study
The paper provides reliable growth kinetic parameters in the SSC of the cellulase producer fungus M. thermophila M.7·7, as well as a robust analysis on three indirect methods (NAG, enzymes and SEM) for estimation of fungal development.</description><identifier>ISSN: 1364-5072</identifier><identifier>EISSN: 1365-2672</identifier><identifier>DOI: 10.1111/jam.14774</identifier><identifier>PMID: 32640074</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Acetylglucosamine - metabolism ; Bagasse ; Biomass ; Bioreactors ; Cellulase ; Cellulose - metabolism ; Colonization ; Cultivation ; Depletion ; Dietary Fiber - metabolism ; Endoglucanase ; Enzymatic activity ; Enzyme activity ; Enzyme kinetics ; enzymes ; Experimental data ; Fungal Proteins - metabolism ; Fungi ; Glucosamine ; Growth kinetics ; Kinetics ; logistic model ; Mathematical models ; Myceliophthora thermophila ; N‐acetylglucosamine ; Parameter estimation ; Reliability analysis ; Reproducibility of Results ; Saccharum - chemistry ; Scanning electron microscopy ; Secretion ; solid‐state cultivation ; Sordariales - enzymology ; Sordariales - growth & development ; Sordariales - metabolism ; Sordariales - ultrastructure ; Statistical analysis ; Strategy ; Substrates ; Sugarcane ; Wheat ; Wheat bran ; Xylanase</subject><ispartof>Journal of applied microbiology, 2021-01, Vol.130 (1), p.90-99</ispartof><rights>2020 The Society for Applied Microbiology</rights><rights>2020 The Society for Applied Microbiology.</rights><rights>Copyright © 2020 The Society for Applied Microbiology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2684-608cdbed57275fdd7b0754bb9ff9a03411abd3d14d5194fb2b1f89e4c667c91e3</citedby><cites>FETCH-LOGICAL-c2684-608cdbed57275fdd7b0754bb9ff9a03411abd3d14d5194fb2b1f89e4c667c91e3</cites><orcidid>0000-0001-9274-1241</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjam.14774$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjam.14774$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32640074$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Santos Gomes, A.C.</creatorcontrib><creatorcontrib>Casciatori, F.P.</creatorcontrib><creatorcontrib>Gomes, E.</creatorcontrib><creatorcontrib>Costa Carreira Nunes, C.</creatorcontrib><creatorcontrib>Moretti, M.M.S.</creatorcontrib><creatorcontrib>Thoméo, J.C.</creatorcontrib><title>Growth kinetics of Myceliophthora thermophila M.7·7 in solid‐state cultivation</title><title>Journal of applied microbiology</title><addtitle>J Appl Microbiol</addtitle><description>Aims
This work aimed to estimate the growth of Myceliophthora thermophila M.7·7 in solid‐state cultivation (SSC) through quantification of N‐acetyl‐d‐glucosamine (NAG) and enzyme activity.
Methods and Results
The fungus was cultivated in sugarcane bagasse and wheat bran. A consistent statistical analysis was done to assess the reliability of experimental data. Logistic model equation was fitted to experimental data and growth parameters were estimated. The results showed strong influence of the sample size on NAG and a minimum recommended sample size was identified. Scanning electron microscopy (SEM) was used to identify the strategy of substrate colonization. Wheat bran was attacked firstly, while sugarcane bagasse was consumed after wheat bran depletion. The biomass growth was poorly estimated by secretion kinetics of α‐amylase, endoglucanase, protease and xylanase, but enzyme kinetics were important for understanding substrate colonization.
Conclusions
In conclusion, the NAG concentration was strongly affected by the sample size and sampling procedure. The strategy of fungal colonization on the substrates was well characterized through SEM analysis. The colonization strategy has direct influence on the kinetic parameters of the logistic model. Myceliophthora thermophila has a well‐defined dynamic of enzyme secretion to degrade the substrate, although the kinetics of enzyme secretion has shown not adequate to characterize the kinetics of fungal growth.
Significance and Impact of the Study
The paper provides reliable growth kinetic parameters in the SSC of the cellulase producer fungus M. thermophila M.7·7, as well as a robust analysis on three indirect methods (NAG, enzymes and SEM) for estimation of fungal development.</description><subject>Acetylglucosamine - metabolism</subject><subject>Bagasse</subject><subject>Biomass</subject><subject>Bioreactors</subject><subject>Cellulase</subject><subject>Cellulose - metabolism</subject><subject>Colonization</subject><subject>Cultivation</subject><subject>Depletion</subject><subject>Dietary Fiber - metabolism</subject><subject>Endoglucanase</subject><subject>Enzymatic activity</subject><subject>Enzyme activity</subject><subject>Enzyme kinetics</subject><subject>enzymes</subject><subject>Experimental data</subject><subject>Fungal Proteins - metabolism</subject><subject>Fungi</subject><subject>Glucosamine</subject><subject>Growth kinetics</subject><subject>Kinetics</subject><subject>logistic model</subject><subject>Mathematical models</subject><subject>Myceliophthora thermophila</subject><subject>N‐acetylglucosamine</subject><subject>Parameter estimation</subject><subject>Reliability analysis</subject><subject>Reproducibility of Results</subject><subject>Saccharum - chemistry</subject><subject>Scanning electron microscopy</subject><subject>Secretion</subject><subject>solid‐state cultivation</subject><subject>Sordariales - enzymology</subject><subject>Sordariales - growth & development</subject><subject>Sordariales - metabolism</subject><subject>Sordariales - ultrastructure</subject><subject>Statistical analysis</subject><subject>Strategy</subject><subject>Substrates</subject><subject>Sugarcane</subject><subject>Wheat</subject><subject>Wheat bran</subject><subject>Xylanase</subject><issn>1364-5072</issn><issn>1365-2672</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10MFKwzAYB_AgipvTgy8gBS966EzSNFmPY-hUNkTQc0mblGa2zUxSx24-gm_j3UfxSYzr9CD4XfIFfvz5-ANwjOAQ-blY8HqICGNkB_RRROMQU4Z3NzsJY8hwDxxYu4AQRTCm-6AXYUogZKQP7qdGr1wZPKlGOpXbQBfBfJ3LSull6UpteOBKaWr_UxUP5kP28c4C1QRWV0p8vr5Zx50M8rZy6oU7pZtDsFfwysqj7TsAj1eXD5PrcHY3vZmMZ2GO6YiEFI5ykUkRM8ziQgiWQRaTLEuKIuEwIgjxTEQCERGjhBQZzlAxSiTJKWV5gmQ0AGdd7tLo51Zal9bK-sMr3kjd2hQTjCEkUUQ9Pf1DF7o1jb_OK0YwYgwlXp13KjfaWiOLdGlUzc06RTD97jn1Paebnr092Sa2WS3Fr_wp1oOLDqxUJdf_J6W343kX-QXsd4go</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Santos Gomes, A.C.</creator><creator>Casciatori, F.P.</creator><creator>Gomes, E.</creator><creator>Costa Carreira Nunes, C.</creator><creator>Moretti, M.M.S.</creator><creator>Thoméo, J.C.</creator><general>Oxford University Press</general><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>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TM</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9274-1241</orcidid></search><sort><creationdate>202101</creationdate><title>Growth kinetics of Myceliophthora thermophila M.7·7 in solid‐state cultivation</title><author>Santos Gomes, A.C. ; Casciatori, F.P. ; Gomes, E. ; Costa Carreira Nunes, C. ; Moretti, M.M.S. ; Thoméo, J.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2684-608cdbed57275fdd7b0754bb9ff9a03411abd3d14d5194fb2b1f89e4c667c91e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acetylglucosamine - metabolism</topic><topic>Bagasse</topic><topic>Biomass</topic><topic>Bioreactors</topic><topic>Cellulase</topic><topic>Cellulose - metabolism</topic><topic>Colonization</topic><topic>Cultivation</topic><topic>Depletion</topic><topic>Dietary Fiber - metabolism</topic><topic>Endoglucanase</topic><topic>Enzymatic activity</topic><topic>Enzyme activity</topic><topic>Enzyme kinetics</topic><topic>enzymes</topic><topic>Experimental data</topic><topic>Fungal Proteins - metabolism</topic><topic>Fungi</topic><topic>Glucosamine</topic><topic>Growth kinetics</topic><topic>Kinetics</topic><topic>logistic model</topic><topic>Mathematical models</topic><topic>Myceliophthora thermophila</topic><topic>N‐acetylglucosamine</topic><topic>Parameter estimation</topic><topic>Reliability analysis</topic><topic>Reproducibility of Results</topic><topic>Saccharum - chemistry</topic><topic>Scanning electron microscopy</topic><topic>Secretion</topic><topic>solid‐state cultivation</topic><topic>Sordariales - enzymology</topic><topic>Sordariales - growth & development</topic><topic>Sordariales - metabolism</topic><topic>Sordariales - ultrastructure</topic><topic>Statistical analysis</topic><topic>Strategy</topic><topic>Substrates</topic><topic>Sugarcane</topic><topic>Wheat</topic><topic>Wheat bran</topic><topic>Xylanase</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Santos Gomes, A.C.</creatorcontrib><creatorcontrib>Casciatori, F.P.</creatorcontrib><creatorcontrib>Gomes, E.</creatorcontrib><creatorcontrib>Costa Carreira Nunes, C.</creatorcontrib><creatorcontrib>Moretti, M.M.S.</creatorcontrib><creatorcontrib>Thoméo, J.C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of applied microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Santos Gomes, A.C.</au><au>Casciatori, F.P.</au><au>Gomes, E.</au><au>Costa Carreira Nunes, C.</au><au>Moretti, M.M.S.</au><au>Thoméo, J.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Growth kinetics of Myceliophthora thermophila M.7·7 in solid‐state cultivation</atitle><jtitle>Journal of applied microbiology</jtitle><addtitle>J Appl Microbiol</addtitle><date>2021-01</date><risdate>2021</risdate><volume>130</volume><issue>1</issue><spage>90</spage><epage>99</epage><pages>90-99</pages><issn>1364-5072</issn><eissn>1365-2672</eissn><abstract>Aims
This work aimed to estimate the growth of Myceliophthora thermophila M.7·7 in solid‐state cultivation (SSC) through quantification of N‐acetyl‐d‐glucosamine (NAG) and enzyme activity.
Methods and Results
The fungus was cultivated in sugarcane bagasse and wheat bran. A consistent statistical analysis was done to assess the reliability of experimental data. Logistic model equation was fitted to experimental data and growth parameters were estimated. The results showed strong influence of the sample size on NAG and a minimum recommended sample size was identified. Scanning electron microscopy (SEM) was used to identify the strategy of substrate colonization. Wheat bran was attacked firstly, while sugarcane bagasse was consumed after wheat bran depletion. The biomass growth was poorly estimated by secretion kinetics of α‐amylase, endoglucanase, protease and xylanase, but enzyme kinetics were important for understanding substrate colonization.
Conclusions
In conclusion, the NAG concentration was strongly affected by the sample size and sampling procedure. The strategy of fungal colonization on the substrates was well characterized through SEM analysis. The colonization strategy has direct influence on the kinetic parameters of the logistic model. Myceliophthora thermophila has a well‐defined dynamic of enzyme secretion to degrade the substrate, although the kinetics of enzyme secretion has shown not adequate to characterize the kinetics of fungal growth.
Significance and Impact of the Study
The paper provides reliable growth kinetic parameters in the SSC of the cellulase producer fungus M. thermophila M.7·7, as well as a robust analysis on three indirect methods (NAG, enzymes and SEM) for estimation of fungal development.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>32640074</pmid><doi>10.1111/jam.14774</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9274-1241</orcidid></addata></record> |
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subjects | Acetylglucosamine - metabolism Bagasse Biomass Bioreactors Cellulase Cellulose - metabolism Colonization Cultivation Depletion Dietary Fiber - metabolism Endoglucanase Enzymatic activity Enzyme activity Enzyme kinetics enzymes Experimental data Fungal Proteins - metabolism Fungi Glucosamine Growth kinetics Kinetics logistic model Mathematical models Myceliophthora thermophila N‐acetylglucosamine Parameter estimation Reliability analysis Reproducibility of Results Saccharum - chemistry Scanning electron microscopy Secretion solid‐state cultivation Sordariales - enzymology Sordariales - growth & development Sordariales - metabolism Sordariales - ultrastructure Statistical analysis Strategy Substrates Sugarcane Wheat Wheat bran Xylanase |
title | Growth kinetics of Myceliophthora thermophila M.7·7 in solid‐state cultivation |
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