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Simultaneous identification to monitor consortia strain dynamics of four biofuel yeast species during fermentation
Mixed strain dynamics are still not well or easily monitored although recently molecular identification methods have improved our knowledge. This study used a chromogenic differential plating medium that allows the discrimination of four of the main selected biofuel strains that are currently under...
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| Published in: | Journal of industrial microbiology & biotechnology 2020-12, Vol.47 (12), p.1133-1140 |
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| Main Authors: | , , , |
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| cited_by | cdi_FETCH-LOGICAL-c456t-c091957219f58cbd632a872b7377fb890f3e9b7f01377ea77b92aaad8f97a69d3 |
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| cites | cdi_FETCH-LOGICAL-c456t-c091957219f58cbd632a872b7377fb890f3e9b7f01377ea77b92aaad8f97a69d3 |
| container_end_page | 1140 |
| container_issue | 12 |
| container_start_page | 1133 |
| container_title | Journal of industrial microbiology & biotechnology |
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| creator | Perez, Gabriel Debernardis, Florencia Boido, Eduardo Carrau, Francisco |
| description | Mixed strain dynamics are still not well or easily monitored although recently molecular identification methods have improved our knowledge. This study used a chromogenic differential plating medium that allows the discrimination of four of the main selected biofuel strains that are currently under development for ethanol production from cellulosic hydrolysates. Complete fermentation of hexoses and xylose was obtained with a yeast consortium composed of
Spathaspora passalidarum, Scheffersomyces stipitis
,
Candida akabanensis
and
Saccharomyces cerevisiae.
The results showed that
C.akabanensis
excessively dominated consortium balance. Reducing its inoculum from 33 to 4.8% improved population strain balance and fermentation efficiency. Comparison of the consortia with single strain fermentations showed that it optimize sugar consumption and ethanol yields. This simple and cheap method also has advantages compared with molecular methods, as the yeast strains do not need to be genetically marked and identified cell proportions are probably active in the fermentation system as compared to DNA determination methods. |
| doi_str_mv | 10.1007/s10295-020-02310-7 |
| format | article |
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Spathaspora passalidarum, Scheffersomyces stipitis
,
Candida akabanensis
and
Saccharomyces cerevisiae.
The results showed that
C.akabanensis
excessively dominated consortium balance. Reducing its inoculum from 33 to 4.8% improved population strain balance and fermentation efficiency. Comparison of the consortia with single strain fermentations showed that it optimize sugar consumption and ethanol yields. This simple and cheap method also has advantages compared with molecular methods, as the yeast strains do not need to be genetically marked and identified cell proportions are probably active in the fermentation system as compared to DNA determination methods.</description><identifier>ISSN: 1367-5435</identifier><identifier>EISSN: 1476-5535</identifier><identifier>DOI: 10.1007/s10295-020-02310-7</identifier><identifier>PMID: 32965544</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biochemistry ; Biodiesel fuels ; Biofuels ; Bioinformatics ; Biomedical and Life Sciences ; Biotechnology ; Biotechnology Methods - Original Paper ; Carbohydrates ; Consortia ; Deoxyribonucleic acid ; DNA ; Ethanol ; Fermentation ; Genetic Engineering ; Hexoses ; Hydrolysates ; Identification methods ; Inoculum ; Inorganic Chemistry ; Life Sciences ; Microbiology ; Phylogeny ; Saccharomyces cerevisiae - genetics ; Saccharomycetales ; Xylose ; Yeast ; Yeasts</subject><ispartof>Journal of industrial microbiology & biotechnology, 2020-12, Vol.47 (12), p.1133-1140</ispartof><rights>Society for Industrial Microbiology and Biotechnology 2020</rights><rights>Society for Industrial Microbiology and Biotechnology 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-c091957219f58cbd632a872b7377fb890f3e9b7f01377ea77b92aaad8f97a69d3</citedby><cites>FETCH-LOGICAL-c456t-c091957219f58cbd632a872b7377fb890f3e9b7f01377ea77b92aaad8f97a69d3</cites><orcidid>0000-0001-7871-2284</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2473328154/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2473328154?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,786,790,11715,27957,27958,36095,36096,44398,75252</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32965544$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Perez, Gabriel</creatorcontrib><creatorcontrib>Debernardis, Florencia</creatorcontrib><creatorcontrib>Boido, Eduardo</creatorcontrib><creatorcontrib>Carrau, Francisco</creatorcontrib><title>Simultaneous identification to monitor consortia strain dynamics of four biofuel yeast species during fermentation</title><title>Journal of industrial microbiology & biotechnology</title><addtitle>J Ind Microbiol Biotechnol</addtitle><addtitle>J Ind Microbiol Biotechnol</addtitle><description>Mixed strain dynamics are still not well or easily monitored although recently molecular identification methods have improved our knowledge. This study used a chromogenic differential plating medium that allows the discrimination of four of the main selected biofuel strains that are currently under development for ethanol production from cellulosic hydrolysates. Complete fermentation of hexoses and xylose was obtained with a yeast consortium composed of
Spathaspora passalidarum, Scheffersomyces stipitis
,
Candida akabanensis
and
Saccharomyces cerevisiae.
The results showed that
C.akabanensis
excessively dominated consortium balance. Reducing its inoculum from 33 to 4.8% improved population strain balance and fermentation efficiency. Comparison of the consortia with single strain fermentations showed that it optimize sugar consumption and ethanol yields. This simple and cheap method also has advantages compared with molecular methods, as the yeast strains do not need to be genetically marked and identified cell proportions are probably active in the fermentation system as compared to DNA determination methods.</description><subject>Biochemistry</subject><subject>Biodiesel fuels</subject><subject>Biofuels</subject><subject>Bioinformatics</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Biotechnology Methods - Original Paper</subject><subject>Carbohydrates</subject><subject>Consortia</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Ethanol</subject><subject>Fermentation</subject><subject>Genetic Engineering</subject><subject>Hexoses</subject><subject>Hydrolysates</subject><subject>Identification methods</subject><subject>Inoculum</subject><subject>Inorganic Chemistry</subject><subject>Life Sciences</subject><subject>Microbiology</subject><subject>Phylogeny</subject><subject>Saccharomyces cerevisiae - genetics</subject><subject>Saccharomycetales</subject><subject>Xylose</subject><subject>Yeast</subject><subject>Yeasts</subject><issn>1367-5435</issn><issn>1476-5535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp9kU1PHSEUhomp8dqrf6ALQ-Kmm1E-hjnDsjHWmph0UV0ThoGGmxm4BWZx_33R0Zq46IJAyHNeOOdB6AslV5QQuM6UMCkawkhdnJIGjtApbaFrhODiUz3zDhrRcrFBn3PeEUIEADtBG85kJ0TbnqL0y8_LVHSwccnYjzYU77zRxceAS8RzDL7EhE0MOabiNc4laR_weAh69ibj6LCLS8KDj26xEz5YnQvOe2u8zXhckg-_sbNprtEvsWfo2Okp2_PXfYuevt8-3vxoHn7e3d98e2hMK7rSGCKpFMCodKI3w9hxpntgA3AAN_SSOG7lAI7QemE1wCCZ1nrsnQTdyZFv0dc1d5_in8XmomafjZ2mtVnF2rbOhtFOVPTyA7qrLYX6u0oB56ynFd0itlImxZyTdWqf_KzTQVGino2o1YiqRtSLEQW16OI1ehlmO_4reVNQAb4Cef88Kpve3_5P7F89b5hj</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Perez, Gabriel</creator><creator>Debernardis, Florencia</creator><creator>Boido, Eduardo</creator><creator>Carrau, Francisco</creator><general>Springer International Publishing</general><general>Springer Nature B.V</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>3V.</scope><scope>7QL</scope><scope>7QR</scope><scope>7T7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</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>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>LK8</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7871-2284</orcidid></search><sort><creationdate>20201201</creationdate><title>Simultaneous identification to monitor consortia strain dynamics of four biofuel yeast species during fermentation</title><author>Perez, Gabriel ; Debernardis, Florencia ; Boido, Eduardo ; Carrau, Francisco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-c091957219f58cbd632a872b7377fb890f3e9b7f01377ea77b92aaad8f97a69d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biochemistry</topic><topic>Biodiesel fuels</topic><topic>Biofuels</topic><topic>Bioinformatics</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Biotechnology Methods - Original Paper</topic><topic>Carbohydrates</topic><topic>Consortia</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Ethanol</topic><topic>Fermentation</topic><topic>Genetic Engineering</topic><topic>Hexoses</topic><topic>Hydrolysates</topic><topic>Identification methods</topic><topic>Inoculum</topic><topic>Inorganic Chemistry</topic><topic>Life Sciences</topic><topic>Microbiology</topic><topic>Phylogeny</topic><topic>Saccharomyces cerevisiae - genetics</topic><topic>Saccharomycetales</topic><topic>Xylose</topic><topic>Yeast</topic><topic>Yeasts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Perez, Gabriel</creatorcontrib><creatorcontrib>Debernardis, Florencia</creatorcontrib><creatorcontrib>Boido, Eduardo</creatorcontrib><creatorcontrib>Carrau, Francisco</creatorcontrib><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>Bacteriology Abstracts (Microbiology B)</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>ABI-INFORM Complete</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</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>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Biological Sciences</collection><collection>ABI/INFORM Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest research library</collection><collection>ProQuest Science Journals</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</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 China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of industrial microbiology & biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Perez, Gabriel</au><au>Debernardis, Florencia</au><au>Boido, Eduardo</au><au>Carrau, Francisco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simultaneous identification to monitor consortia strain dynamics of four biofuel yeast species during fermentation</atitle><jtitle>Journal of industrial microbiology & biotechnology</jtitle><stitle>J Ind Microbiol Biotechnol</stitle><addtitle>J Ind Microbiol Biotechnol</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>47</volume><issue>12</issue><spage>1133</spage><epage>1140</epage><pages>1133-1140</pages><issn>1367-5435</issn><eissn>1476-5535</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Mixed strain dynamics are still not well or easily monitored although recently molecular identification methods have improved our knowledge. This study used a chromogenic differential plating medium that allows the discrimination of four of the main selected biofuel strains that are currently under development for ethanol production from cellulosic hydrolysates. Complete fermentation of hexoses and xylose was obtained with a yeast consortium composed of
Spathaspora passalidarum, Scheffersomyces stipitis
,
Candida akabanensis
and
Saccharomyces cerevisiae.
The results showed that
C.akabanensis
excessively dominated consortium balance. Reducing its inoculum from 33 to 4.8% improved population strain balance and fermentation efficiency. Comparison of the consortia with single strain fermentations showed that it optimize sugar consumption and ethanol yields. This simple and cheap method also has advantages compared with molecular methods, as the yeast strains do not need to be genetically marked and identified cell proportions are probably active in the fermentation system as compared to DNA determination methods.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32965544</pmid><doi>10.1007/s10295-020-02310-7</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-7871-2284</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of industrial microbiology & biotechnology, 2020-12, Vol.47 (12), p.1133-1140 |
| issn | 1367-5435 1476-5535 |
| language | eng |
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| source | ABI/INFORM Collection; AUTh Library subscriptions: Oxford University Press |
| subjects | Biochemistry Biodiesel fuels Biofuels Bioinformatics Biomedical and Life Sciences Biotechnology Biotechnology Methods - Original Paper Carbohydrates Consortia Deoxyribonucleic acid DNA Ethanol Fermentation Genetic Engineering Hexoses Hydrolysates Identification methods Inoculum Inorganic Chemistry Life Sciences Microbiology Phylogeny Saccharomyces cerevisiae - genetics Saccharomycetales Xylose Yeast Yeasts |
| title | Simultaneous identification to monitor consortia strain dynamics of four biofuel yeast species during fermentation |
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