Cargando…

Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet

BACKGROUND: Sugar beet is an important crop for sugar production. Sugar beet roots are stored up to several weeks post-harvest waiting for processing in the sugar factories. During this time, sucrose loss and invert sugar accumulation decreases the final yield and processing quality. To improve stor...

Descripción completa

Detalles Bibliográficos
Autores principales: Gippert, Anna-Lena, Madritsch, Silvia, Woryna, Patrick, Otte, Sandra, Mayrhofer, Martina, Eigner, Herbert, Garibay-Hernández, Adriana, D’Auria, John C., Molin, Eva M., Mock, Hans-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461268/
https://www.ncbi.nlm.nih.gov/pubmed/36076171
http://dx.doi.org/10.1186/s12870-022-03784-6
_version_ 1784786939457568768
author Gippert, Anna-Lena
Madritsch, Silvia
Woryna, Patrick
Otte, Sandra
Mayrhofer, Martina
Eigner, Herbert
Garibay-Hernández, Adriana
D’Auria, John C.
Molin, Eva M.
Mock, Hans-Peter
author_facet Gippert, Anna-Lena
Madritsch, Silvia
Woryna, Patrick
Otte, Sandra
Mayrhofer, Martina
Eigner, Herbert
Garibay-Hernández, Adriana
D’Auria, John C.
Molin, Eva M.
Mock, Hans-Peter
author_sort Gippert, Anna-Lena
collection PubMed
description BACKGROUND: Sugar beet is an important crop for sugar production. Sugar beet roots are stored up to several weeks post-harvest waiting for processing in the sugar factories. During this time, sucrose loss and invert sugar accumulation decreases the final yield and processing quality. To improve storability, more information about post-harvest metabolism is required. We investigated primary and secondary metabolites of six sugar beet varieties during storage. Based on their variety-specific sucrose loss, three storage classes representing well, moderate, and bad storability were compared. Furthermore, metabolic data were visualized together with transcriptome data to identify potential mechanisms involved in the storage process. RESULTS: We found that sugar beet varieties that performed well during storage have higher pools of 15 free amino acids which were already observable at harvest. This storage class-specific feature is visible at harvest as well as after 13 weeks of storage. The profile of most of the detected organic acids and semi-polar metabolites changed during storage. Only pyroglutamic acid and two semi-polar metabolites, including ferulic acid, show higher levels in well storable varieties before and/or after 13 weeks of storage. The combinatorial OMICs approach revealed that well storable varieties had increased downregulation of genes involved in amino acid degradation before and after 13 weeks of storage. Furthermore, we found that most of the differentially genes involved in protein degradation were downregulated in well storable varieties at both timepoints, before and after 13 weeks of storage. CONCLUSIONS: Our results indicate that increased levels of 15 free amino acids, pyroglutamic acid and two semi-polar compounds, including ferulic acid, were associated with a better storability of sugar beet taproots. Predictive metabolic patterns were already apparent at harvest. With respect to elongated storage, we highlighted the role of free amino acids in the taproot. Using complementary transcriptomic data, we could identify potential underlying mechanisms of sugar beet storability. These include the downregulation of genes for amino acid degradation and metabolism as well as a suppressed proteolysis in the well storable varieties. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03784-6.
format Online
Article
Text
id pubmed-9461268
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-94612682022-09-10 Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet Gippert, Anna-Lena Madritsch, Silvia Woryna, Patrick Otte, Sandra Mayrhofer, Martina Eigner, Herbert Garibay-Hernández, Adriana D’Auria, John C. Molin, Eva M. Mock, Hans-Peter BMC Plant Biol Research BACKGROUND: Sugar beet is an important crop for sugar production. Sugar beet roots are stored up to several weeks post-harvest waiting for processing in the sugar factories. During this time, sucrose loss and invert sugar accumulation decreases the final yield and processing quality. To improve storability, more information about post-harvest metabolism is required. We investigated primary and secondary metabolites of six sugar beet varieties during storage. Based on their variety-specific sucrose loss, three storage classes representing well, moderate, and bad storability were compared. Furthermore, metabolic data were visualized together with transcriptome data to identify potential mechanisms involved in the storage process. RESULTS: We found that sugar beet varieties that performed well during storage have higher pools of 15 free amino acids which were already observable at harvest. This storage class-specific feature is visible at harvest as well as after 13 weeks of storage. The profile of most of the detected organic acids and semi-polar metabolites changed during storage. Only pyroglutamic acid and two semi-polar metabolites, including ferulic acid, show higher levels in well storable varieties before and/or after 13 weeks of storage. The combinatorial OMICs approach revealed that well storable varieties had increased downregulation of genes involved in amino acid degradation before and after 13 weeks of storage. Furthermore, we found that most of the differentially genes involved in protein degradation were downregulated in well storable varieties at both timepoints, before and after 13 weeks of storage. CONCLUSIONS: Our results indicate that increased levels of 15 free amino acids, pyroglutamic acid and two semi-polar compounds, including ferulic acid, were associated with a better storability of sugar beet taproots. Predictive metabolic patterns were already apparent at harvest. With respect to elongated storage, we highlighted the role of free amino acids in the taproot. Using complementary transcriptomic data, we could identify potential underlying mechanisms of sugar beet storability. These include the downregulation of genes for amino acid degradation and metabolism as well as a suppressed proteolysis in the well storable varieties. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-03784-6. BioMed Central 2022-09-09 /pmc/articles/PMC9461268/ /pubmed/36076171 http://dx.doi.org/10.1186/s12870-022-03784-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gippert, Anna-Lena
Madritsch, Silvia
Woryna, Patrick
Otte, Sandra
Mayrhofer, Martina
Eigner, Herbert
Garibay-Hernández, Adriana
D’Auria, John C.
Molin, Eva M.
Mock, Hans-Peter
Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet
title Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet
title_full Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet
title_fullStr Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet
title_full_unstemmed Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet
title_short Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet
title_sort unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461268/
https://www.ncbi.nlm.nih.gov/pubmed/36076171
http://dx.doi.org/10.1186/s12870-022-03784-6
work_keys_str_mv AT gippertannalena unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT madritschsilvia unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT worynapatrick unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT ottesandra unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT mayrhofermartina unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT eignerherbert unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT garibayhernandezadriana unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT dauriajohnc unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT molinevam unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet
AT mockhanspeter unravelingmetabolicpatternsandmolecularmechanismsunderlyingstorabilityinsugarbeet