Integrative transcriptomics reveals genotypic impact on sugar beet storability
Key message An integrative comparative transcriptomic approach on six sugar beet varieties showing different amount of sucrose loss during storage revealed genotype-specific main driver genes and pathways characterizing storability. Sugar beet is next to sugar cane one of the most important sugar cr...
Gespeichert in:
Veröffentlicht in: | Plant molecular biology 2020-11, Vol.104 (4-5), p.359-378 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 378 |
---|---|
container_issue | 4-5 |
container_start_page | 359 |
container_title | Plant molecular biology |
container_volume | 104 |
creator | Madritsch, Silvia Bomers, Svenja Posekany, Alexandra Burg, Agnes Birke, Rebekka Emerstorfer, Florian Turetschek, Reinhard Otte, Sandra Eigner, Herbert Sehr, Eva M. |
description | Key message
An integrative comparative transcriptomic approach on six sugar beet varieties showing different amount of sucrose loss during storage revealed genotype-specific main driver genes and pathways characterizing storability.
Sugar beet is next to sugar cane one of the most important sugar crops accounting for about 15% of the sucrose produced worldwide. Since its processing is increasingly centralized, storage of beet roots over an extended time has become necessary. Sucrose loss during storage is a major concern for the sugar industry because the accumulation of invert sugar and byproducts severely affect sucrose manufacturing. This loss is mainly due to ongoing respiration, but changes in cell wall composition and pathogen infestation also contribute. While some varieties can cope better during storage, the underlying molecular mechanisms are currently undiscovered. We applied integrative transcriptomics on six varieties exhibiting different levels of sucrose loss during storage. Already prior to storage, well storable varieties were characterized by a higher number of parenchyma cells, a smaller cell area, and a thinner periderm. Supporting these findings, transcriptomics identified changes in genes involved in cell wall modifications. After 13 weeks of storage, over 900 differentially expressed genes were detected between well and badly storable varieties, mainly in the category of defense response but also in carbohydrate metabolism and the phenylpropanoid pathway. These findings were confirmed by gene co-expression network analysis where hub genes were identified as main drivers of invert sugar accumulation and sucrose loss. Our data provide insight into transcriptional changes in sugar beet roots during storage resulting in the characterization of key pathways and hub genes that might be further used as markers to improve pathogen resistance and storage properties. |
doi_str_mv | 10.1007/s11103-020-01041-8 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7593311</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2430671414</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-e14685f649f3305face415ea1725c8aecbfb6a43aeb0102eb64bc110885bffc03</originalsourceid><addsrcrecordid>eNp9kU9PFTEUxRuigSf4BVyYSdy4Ge2d_hs2JISgkBDd6Lppy52xZKYd2s5L3re3-hDBhasu7u-c3nMPIW-AfgBK1ccMAJS1tKMtBcqh7Q_IBoRiraBd_4JsKEjVcg7dEXmV8x2tFGXykByxTgneK7khX65DwTGZ4rfYlGRCdskvJc7e5SbhFs2UmxFDLLvFu8bPi3GliaHJ62hSYxFLk0tMxvrJl90JeTlUBb5-eI_J90-X3y6u2puvn68vzm9axxUvLQKXvRgkPx0Yo2IwDjkINKA64XqDzg5WGs4M2rpzh1Zy62rYvhd2GBxlx-Rs77usdsZbh6HuPukl-dmknY7G6-eT4H_oMW61EqeMAVSD9w8GKd6vmIuefXY4TSZgXLPuOKNSAQde0Xf_oHdxTaHGq5QCUW8pWaW6PeVSzDnh8LgMUP2rLr2vS9e69O-6dF9Fb5_GeJT86acCbA_kOgojpr9__8f2J2ybolI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2471527563</pqid></control><display><type>article</type><title>Integrative transcriptomics reveals genotypic impact on sugar beet storability</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Madritsch, Silvia ; Bomers, Svenja ; Posekany, Alexandra ; Burg, Agnes ; Birke, Rebekka ; Emerstorfer, Florian ; Turetschek, Reinhard ; Otte, Sandra ; Eigner, Herbert ; Sehr, Eva M.</creator><creatorcontrib>Madritsch, Silvia ; Bomers, Svenja ; Posekany, Alexandra ; Burg, Agnes ; Birke, Rebekka ; Emerstorfer, Florian ; Turetschek, Reinhard ; Otte, Sandra ; Eigner, Herbert ; Sehr, Eva M.</creatorcontrib><description>Key message
An integrative comparative transcriptomic approach on six sugar beet varieties showing different amount of sucrose loss during storage revealed genotype-specific main driver genes and pathways characterizing storability.
Sugar beet is next to sugar cane one of the most important sugar crops accounting for about 15% of the sucrose produced worldwide. Since its processing is increasingly centralized, storage of beet roots over an extended time has become necessary. Sucrose loss during storage is a major concern for the sugar industry because the accumulation of invert sugar and byproducts severely affect sucrose manufacturing. This loss is mainly due to ongoing respiration, but changes in cell wall composition and pathogen infestation also contribute. While some varieties can cope better during storage, the underlying molecular mechanisms are currently undiscovered. We applied integrative transcriptomics on six varieties exhibiting different levels of sucrose loss during storage. Already prior to storage, well storable varieties were characterized by a higher number of parenchyma cells, a smaller cell area, and a thinner periderm. Supporting these findings, transcriptomics identified changes in genes involved in cell wall modifications. After 13 weeks of storage, over 900 differentially expressed genes were detected between well and badly storable varieties, mainly in the category of defense response but also in carbohydrate metabolism and the phenylpropanoid pathway. These findings were confirmed by gene co-expression network analysis where hub genes were identified as main drivers of invert sugar accumulation and sucrose loss. Our data provide insight into transcriptional changes in sugar beet roots during storage resulting in the characterization of key pathways and hub genes that might be further used as markers to improve pathogen resistance and storage properties.</description><identifier>ISSN: 0167-4412</identifier><identifier>EISSN: 1573-5028</identifier><identifier>DOI: 10.1007/s11103-020-01041-8</identifier><identifier>PMID: 32754876</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Beta vulgaris - anatomy & histology ; Beta vulgaris - genetics ; Beta vulgaris - metabolism ; Biochemistry ; Biomedical and Life Sciences ; Carbohydrate metabolism ; Cell walls ; Food Storage ; Gene Expression Profiling - methods ; Gene Expression Regulation, Plant ; Genotypes ; Life Sciences ; Lignin - metabolism ; Molecular modelling ; Parenchyma ; Pathogens ; Plant Pathology ; Plant Proteins - genetics ; Plant Roots - anatomy & histology ; Plant Sciences ; Roots ; Sucrose ; Sucrose - analysis ; Sucrose - metabolism ; Sugar crops ; Sugar industry ; Sugarcane ; Sugars - analysis ; Sugars - metabolism ; Transcription</subject><ispartof>Plant molecular biology, 2020-11, Vol.104 (4-5), p.359-378</ispartof><rights>The Author(s) 2020. corrected publication 2020</rights><rights>The Author(s) 2020. corrected publication 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020, corrected publication 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-e14685f649f3305face415ea1725c8aecbfb6a43aeb0102eb64bc110885bffc03</citedby><cites>FETCH-LOGICAL-c474t-e14685f649f3305face415ea1725c8aecbfb6a43aeb0102eb64bc110885bffc03</cites><orcidid>0000-0001-6590-7509 ; 0000-0002-4544-3169 ; 0000-0002-4995-7351 ; 0000-0002-3687-4784</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11103-020-01041-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11103-020-01041-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32754876$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Madritsch, Silvia</creatorcontrib><creatorcontrib>Bomers, Svenja</creatorcontrib><creatorcontrib>Posekany, Alexandra</creatorcontrib><creatorcontrib>Burg, Agnes</creatorcontrib><creatorcontrib>Birke, Rebekka</creatorcontrib><creatorcontrib>Emerstorfer, Florian</creatorcontrib><creatorcontrib>Turetschek, Reinhard</creatorcontrib><creatorcontrib>Otte, Sandra</creatorcontrib><creatorcontrib>Eigner, Herbert</creatorcontrib><creatorcontrib>Sehr, Eva M.</creatorcontrib><title>Integrative transcriptomics reveals genotypic impact on sugar beet storability</title><title>Plant molecular biology</title><addtitle>Plant Mol Biol</addtitle><addtitle>Plant Mol Biol</addtitle><description>Key message
An integrative comparative transcriptomic approach on six sugar beet varieties showing different amount of sucrose loss during storage revealed genotype-specific main driver genes and pathways characterizing storability.
Sugar beet is next to sugar cane one of the most important sugar crops accounting for about 15% of the sucrose produced worldwide. Since its processing is increasingly centralized, storage of beet roots over an extended time has become necessary. Sucrose loss during storage is a major concern for the sugar industry because the accumulation of invert sugar and byproducts severely affect sucrose manufacturing. This loss is mainly due to ongoing respiration, but changes in cell wall composition and pathogen infestation also contribute. While some varieties can cope better during storage, the underlying molecular mechanisms are currently undiscovered. We applied integrative transcriptomics on six varieties exhibiting different levels of sucrose loss during storage. Already prior to storage, well storable varieties were characterized by a higher number of parenchyma cells, a smaller cell area, and a thinner periderm. Supporting these findings, transcriptomics identified changes in genes involved in cell wall modifications. After 13 weeks of storage, over 900 differentially expressed genes were detected between well and badly storable varieties, mainly in the category of defense response but also in carbohydrate metabolism and the phenylpropanoid pathway. These findings were confirmed by gene co-expression network analysis where hub genes were identified as main drivers of invert sugar accumulation and sucrose loss. Our data provide insight into transcriptional changes in sugar beet roots during storage resulting in the characterization of key pathways and hub genes that might be further used as markers to improve pathogen resistance and storage properties.</description><subject>Beta vulgaris - anatomy & histology</subject><subject>Beta vulgaris - genetics</subject><subject>Beta vulgaris - metabolism</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Carbohydrate metabolism</subject><subject>Cell walls</subject><subject>Food Storage</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene Expression Regulation, Plant</subject><subject>Genotypes</subject><subject>Life Sciences</subject><subject>Lignin - metabolism</subject><subject>Molecular modelling</subject><subject>Parenchyma</subject><subject>Pathogens</subject><subject>Plant Pathology</subject><subject>Plant Proteins - genetics</subject><subject>Plant Roots - anatomy & histology</subject><subject>Plant Sciences</subject><subject>Roots</subject><subject>Sucrose</subject><subject>Sucrose - analysis</subject><subject>Sucrose - metabolism</subject><subject>Sugar crops</subject><subject>Sugar industry</subject><subject>Sugarcane</subject><subject>Sugars - analysis</subject><subject>Sugars - metabolism</subject><subject>Transcription</subject><issn>0167-4412</issn><issn>1573-5028</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kU9PFTEUxRuigSf4BVyYSdy4Ge2d_hs2JISgkBDd6Lppy52xZKYd2s5L3re3-hDBhasu7u-c3nMPIW-AfgBK1ccMAJS1tKMtBcqh7Q_IBoRiraBd_4JsKEjVcg7dEXmV8x2tFGXykByxTgneK7khX65DwTGZ4rfYlGRCdskvJc7e5SbhFs2UmxFDLLvFu8bPi3GliaHJ62hSYxFLk0tMxvrJl90JeTlUBb5-eI_J90-X3y6u2puvn68vzm9axxUvLQKXvRgkPx0Yo2IwDjkINKA64XqDzg5WGs4M2rpzh1Zy62rYvhd2GBxlx-Rs77usdsZbh6HuPukl-dmknY7G6-eT4H_oMW61EqeMAVSD9w8GKd6vmIuefXY4TSZgXLPuOKNSAQde0Xf_oHdxTaHGq5QCUW8pWaW6PeVSzDnh8LgMUP2rLr2vS9e69O-6dF9Fb5_GeJT86acCbA_kOgojpr9__8f2J2ybolI</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Madritsch, Silvia</creator><creator>Bomers, Svenja</creator><creator>Posekany, Alexandra</creator><creator>Burg, Agnes</creator><creator>Birke, Rebekka</creator><creator>Emerstorfer, Florian</creator><creator>Turetschek, Reinhard</creator><creator>Otte, Sandra</creator><creator>Eigner, Herbert</creator><creator>Sehr, Eva M.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</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>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6590-7509</orcidid><orcidid>https://orcid.org/0000-0002-4544-3169</orcidid><orcidid>https://orcid.org/0000-0002-4995-7351</orcidid><orcidid>https://orcid.org/0000-0002-3687-4784</orcidid></search><sort><creationdate>20201101</creationdate><title>Integrative transcriptomics reveals genotypic impact on sugar beet storability</title><author>Madritsch, Silvia ; Bomers, Svenja ; Posekany, Alexandra ; Burg, Agnes ; Birke, Rebekka ; Emerstorfer, Florian ; Turetschek, Reinhard ; Otte, Sandra ; Eigner, Herbert ; Sehr, Eva M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-e14685f649f3305face415ea1725c8aecbfb6a43aeb0102eb64bc110885bffc03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Beta vulgaris - anatomy & histology</topic><topic>Beta vulgaris - genetics</topic><topic>Beta vulgaris - metabolism</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Carbohydrate metabolism</topic><topic>Cell walls</topic><topic>Food Storage</topic><topic>Gene Expression Profiling - methods</topic><topic>Gene Expression Regulation, Plant</topic><topic>Genotypes</topic><topic>Life Sciences</topic><topic>Lignin - metabolism</topic><topic>Molecular modelling</topic><topic>Parenchyma</topic><topic>Pathogens</topic><topic>Plant Pathology</topic><topic>Plant Proteins - genetics</topic><topic>Plant Roots - anatomy & histology</topic><topic>Plant Sciences</topic><topic>Roots</topic><topic>Sucrose</topic><topic>Sucrose - analysis</topic><topic>Sucrose - metabolism</topic><topic>Sugar crops</topic><topic>Sugar industry</topic><topic>Sugarcane</topic><topic>Sugars - analysis</topic><topic>Sugars - metabolism</topic><topic>Transcription</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Madritsch, Silvia</creatorcontrib><creatorcontrib>Bomers, Svenja</creatorcontrib><creatorcontrib>Posekany, Alexandra</creatorcontrib><creatorcontrib>Burg, Agnes</creatorcontrib><creatorcontrib>Birke, Rebekka</creatorcontrib><creatorcontrib>Emerstorfer, Florian</creatorcontrib><creatorcontrib>Turetschek, Reinhard</creatorcontrib><creatorcontrib>Otte, Sandra</creatorcontrib><creatorcontrib>Eigner, Herbert</creatorcontrib><creatorcontrib>Sehr, Eva M.</creatorcontrib><collection>Springer Nature OA Free Journals</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>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>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>Research Library (Alumni Edition)</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>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>Research Library Prep</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>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Plant molecular biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Madritsch, Silvia</au><au>Bomers, Svenja</au><au>Posekany, Alexandra</au><au>Burg, Agnes</au><au>Birke, Rebekka</au><au>Emerstorfer, Florian</au><au>Turetschek, Reinhard</au><au>Otte, Sandra</au><au>Eigner, Herbert</au><au>Sehr, Eva M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrative transcriptomics reveals genotypic impact on sugar beet storability</atitle><jtitle>Plant molecular biology</jtitle><stitle>Plant Mol Biol</stitle><addtitle>Plant Mol Biol</addtitle><date>2020-11-01</date><risdate>2020</risdate><volume>104</volume><issue>4-5</issue><spage>359</spage><epage>378</epage><pages>359-378</pages><issn>0167-4412</issn><eissn>1573-5028</eissn><abstract>Key message
An integrative comparative transcriptomic approach on six sugar beet varieties showing different amount of sucrose loss during storage revealed genotype-specific main driver genes and pathways characterizing storability.
Sugar beet is next to sugar cane one of the most important sugar crops accounting for about 15% of the sucrose produced worldwide. Since its processing is increasingly centralized, storage of beet roots over an extended time has become necessary. Sucrose loss during storage is a major concern for the sugar industry because the accumulation of invert sugar and byproducts severely affect sucrose manufacturing. This loss is mainly due to ongoing respiration, but changes in cell wall composition and pathogen infestation also contribute. While some varieties can cope better during storage, the underlying molecular mechanisms are currently undiscovered. We applied integrative transcriptomics on six varieties exhibiting different levels of sucrose loss during storage. Already prior to storage, well storable varieties were characterized by a higher number of parenchyma cells, a smaller cell area, and a thinner periderm. Supporting these findings, transcriptomics identified changes in genes involved in cell wall modifications. After 13 weeks of storage, over 900 differentially expressed genes were detected between well and badly storable varieties, mainly in the category of defense response but also in carbohydrate metabolism and the phenylpropanoid pathway. These findings were confirmed by gene co-expression network analysis where hub genes were identified as main drivers of invert sugar accumulation and sucrose loss. Our data provide insight into transcriptional changes in sugar beet roots during storage resulting in the characterization of key pathways and hub genes that might be further used as markers to improve pathogen resistance and storage properties.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>32754876</pmid><doi>10.1007/s11103-020-01041-8</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-6590-7509</orcidid><orcidid>https://orcid.org/0000-0002-4544-3169</orcidid><orcidid>https://orcid.org/0000-0002-4995-7351</orcidid><orcidid>https://orcid.org/0000-0002-3687-4784</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0167-4412 |
ispartof | Plant molecular biology, 2020-11, Vol.104 (4-5), p.359-378 |
issn | 0167-4412 1573-5028 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7593311 |
source | MEDLINE; Springer Nature - Complete Springer Journals |
subjects | Beta vulgaris - anatomy & histology Beta vulgaris - genetics Beta vulgaris - metabolism Biochemistry Biomedical and Life Sciences Carbohydrate metabolism Cell walls Food Storage Gene Expression Profiling - methods Gene Expression Regulation, Plant Genotypes Life Sciences Lignin - metabolism Molecular modelling Parenchyma Pathogens Plant Pathology Plant Proteins - genetics Plant Roots - anatomy & histology Plant Sciences Roots Sucrose Sucrose - analysis Sucrose - metabolism Sugar crops Sugar industry Sugarcane Sugars - analysis Sugars - metabolism Transcription |
title | Integrative transcriptomics reveals genotypic impact on sugar beet storability |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T22%3A04%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrative%20transcriptomics%20reveals%20genotypic%20impact%20on%20sugar%20beet%20storability&rft.jtitle=Plant%20molecular%20biology&rft.au=Madritsch,%20Silvia&rft.date=2020-11-01&rft.volume=104&rft.issue=4-5&rft.spage=359&rft.epage=378&rft.pages=359-378&rft.issn=0167-4412&rft.eissn=1573-5028&rft_id=info:doi/10.1007/s11103-020-01041-8&rft_dat=%3Cproquest_pubme%3E2430671414%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2471527563&rft_id=info:pmid/32754876&rfr_iscdi=true |