Tissue-specific differences in metabolites and transcripts contribute to the heterogeneity of ricinoleic acid accumulation in Ricinus communis L. (castor) seeds.


Journal

Metabolomics : Official journal of the Metabolomic Society
ISSN: 1573-3890
Titre abrégé: Metabolomics
Pays: United States
ID NLM: 101274889

Informations de publication

Date de publication:
03 01 2019
Historique:
received: 08 09 2018
accepted: 18 12 2018
entrez: 5 3 2019
pubmed: 5 3 2019
medline: 24 3 2020
Statut: epublish

Résumé

Castor (Ricinus communis L.) seeds are valued for their production of oils which can comprise up to 90% hydroxy-fatty acids (ricinoleic acid). Castor oil contains mono-, di- and tri- ricinoleic acid containing triacylglycerols (TAGs). Although the enzymatic synthesis of ricinoleic acid is well described, the differential compartmentalization of these TAG molecular species has remained undefined. To examine the distribution of hydroxy fatty acid accumulation within the endosperm and embryo tissues of castor seeds. Matrix assisted laser desorption/ionization mass spectrometry imaging was used to map the distribution of triacylglycerols in tissue sections of castor seeds. In addition, the endosperm and embryo (cotyledons and embryonic axis) tissues were dissected and extracted for quantitative lipidomics analysis and Illumina-based RNA deep sequencing. This study revealed an unexpected heterogeneous tissue distribution of mono-, di- and tri- hydroxy-triacylglycerols in the embryo and endosperm tissues of castor seeds. Pathway analysis based on transcript abundance suggested that distinct embryo- and endosperm-specific mechanisms may exist for the shuttling of ricinoleic acid away from phosphatidylcholine (PC) and into hydroxy TAG production. The embryo-biased mechanism appears to favor removal of ricinoleic acid from PC through phophatidylcholine: diacylglycerol acyltransferase while the endosperm pathway appears to remove ricinoleic acid from the PC pool by preferences of phospholipase A (PLA Collectively, a combination of lipidomics and transcriptomics analyses revealed previously undefined spatial aspects of hydroxy fatty acid metabolism in castor seeds. These studies underscore a need for tissue-specific studies as a means to better understand the regulation of triacylglycerol accumulation in oilseeds.

Identifiants

pubmed: 30830477
doi: 10.1007/s11306-018-1464-3
pii: 10.1007/s11306-018-1464-3
doi:

Substances chimiques

Fatty Acids 0
Phosphatidylcholines 0
Ricinoleic Acids 0
Triglycerides 0
Castor Oil 8001-79-4
Diacylglycerol Cholinephosphotransferase EC 2.7.8.2
Group IV Phospholipases A2 EC 3.1.1.4
ricinoleic acid I2D0F69854

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

6

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Auteurs

Drew Sturtevant (D)

Department of Biological Sciences, University of North Texas, Denton, TX, USA.
BioDiscovery Institute, University of North Texas, Denton, TX, USA.

Trevor B Romsdahl (TB)

Department of Biological Sciences, University of North Texas, Denton, TX, USA.
BioDiscovery Institute, University of North Texas, Denton, TX, USA.

Xiao-Hong Yu (XH)

Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY, USA.

David J Burks (DJ)

Department of Biological Sciences, University of North Texas, Denton, TX, USA.
BioDiscovery Institute, University of North Texas, Denton, TX, USA.

Rajeev K Azad (RK)

Department of Biological Sciences, University of North Texas, Denton, TX, USA.
BioDiscovery Institute, University of North Texas, Denton, TX, USA.
Department of Mathematics, University of North Texas, Denton, TX, 76203, USA.

John Shanklin (J)

Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY, USA.
Biology Department, Brookhaven National Laboratory, Upton, NY, USA.

Kent D Chapman (KD)

Department of Biological Sciences, University of North Texas, Denton, TX, USA. chapman@unt.edu.
BioDiscovery Institute, University of North Texas, Denton, TX, USA. chapman@unt.edu.

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Classifications MeSH