Unravelling the Metabolic and Hormonal Machinery During Key Steps of Somatic Embryogenesis: A Case Study in Coffee.
cell fate
cell imaging
coffee
histology
hormone content
metabolomics
somatic embryogenesis
totipotency
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
20 Sep 2019
20 Sep 2019
Historique:
received:
20
08
2019
revised:
17
09
2019
accepted:
18
09
2019
entrez:
25
9
2019
pubmed:
25
9
2019
medline:
6
2
2020
Statut:
epublish
Résumé
Somatic embryogenesis (SE) is one of the most promising processes for large-scale dissemination of elite varieties. However, for many plant species, optimizing SE protocols still relies on a trial-and-error approach. Using coffee as a model plant, we report here the first global analysis of metabolome and hormone dynamics aiming to unravel mechanisms regulating cell fate and totipotency. Sampling from leaf explant dedifferentiation until embryo development covered 15 key stages. An in-depth statistical analysis performed on 104 metabolites revealed that massive re-configuration of metabolic pathways induced SE. During initial dedifferentiation, a sharp decrease in phenolic compounds and caffeine levels was also observed while auxins, cytokinins and ethylene levels were at their highest. Totipotency reached its highest expression during the callus stages when a shut-off in hormonal and metabolic pathways related to sugar and energetic substance hydrolysis was evidenced. Abscisic acid, leucine, maltotriose, myo-inositol, proline, tricarboxylic acid cycle metabolites and zeatin appeared as key metabolic markers of the embryogenic capacity. Combining metabolomics with multiphoton microscopy led to the identification of chlorogenic acids as markers of embryo redifferentiation. The present analysis shows that metabolite fingerprints are signatures of cell fate and represent a starting point for optimizing SE protocols in a rational way.
Identifiants
pubmed: 31547069
pii: ijms20194665
doi: 10.3390/ijms20194665
pmc: PMC6802359
pii:
doi:
Substances chimiques
Plant Growth Regulators
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Nestec Ltd.
ID : RA_RDTO_006142
Références
BMC Genomics. 2017 Dec 29;18(1):998
pubmed: 29284399
Symp Soc Exp Biol. 1957;11:118-30
pubmed: 13486467
In Vitro Cell Dev Biol Plant. 2018;54(4):377-391
pubmed: 30147286
Tree Physiol. 2015 Jun;35(6):678-90
pubmed: 25877768
BMC Plant Biol. 2012 Jul 20;12:110
pubmed: 22817809
Nat Biotechnol. 2000 Nov;18(11):1157-61
pubmed: 11062433
PLoS One. 2015 Jun 03;10(6):e0126414
pubmed: 26038822
Trends Plant Sci. 2007 Jun;12(6):245-52
pubmed: 17499544
Methods Mol Biol. 2007;358:19-38
pubmed: 17035678
J Exp Bot. 2001 Dec;52(365):2301-11
pubmed: 11709580
J Mol Diagn. 2003 May;5(2):73-81
pubmed: 12707371
Bioinformatics. 2008 Mar 1;24(5):732-7
pubmed: 18204057
Methods Mol Biol. 2016;1359:167-207
pubmed: 26619863
BMC Plant Biol. 2011 May 19;11:92
pubmed: 21595964
J Proteomics. 2013 Nov 20;93:314-25
pubmed: 23770300
Sci Rep. 2016 Mar 14;6:23050
pubmed: 26973288
J Genet Eng Biotechnol. 2018 Dec;16(2):677-682
pubmed: 30733788
Plant Biotechnol J. 2009 Dec;7(9):952-63
pubmed: 19906246
PLoS One. 2013;8(2):e56372
pubmed: 23418563
Plant J. 2003 Apr;34(1):107-14
pubmed: 12662313
Gene. 2016 Mar 1;578(1):17-24
pubmed: 26657036
Planta. 2005 Dec;222(6):977-88
pubmed: 16034595
Planta. 2015 Apr;241(4):967-85
pubmed: 25534944
J Chromatogr B Analyt Technol Biomed Life Sci. 2008 Aug 15;871(2):182-90
pubmed: 18501684
Bioinformatics. 2016 Sep 15;32(18):2847-9
pubmed: 27207943
Front Plant Sci. 2018 Nov 20;9:1658
pubmed: 30524454
Plant Physiol Biochem. 2010 Dec;48(12):909-30
pubmed: 20870416
Philos Trans R Soc Lond B Biol Sci. 2000 Oct 29;355(1402):1499-510
pubmed: 11128003
Bioinformatics. 2005 Apr 15;21(8):1635-8
pubmed: 15613389
Plant Cell Physiol. 2018 Apr 1;59(4):744-755
pubmed: 29121271
Am J Bot. 2004 Nov;91(11):1743-56
pubmed: 21652321
Front Plant Sci. 2019 Jan 09;9:1943
pubmed: 30687348
Sci Rep. 2017 Apr 21;7(1):1004
pubmed: 28432333
Front Plant Sci. 2018 Nov 12;9:1630
pubmed: 30483287
Antioxid Redox Signal. 2013 Sep 20;19(9):998-1011
pubmed: 23581681
Front Plant Sci. 2019 Feb 28;10:118
pubmed: 30873184
Indian J Exp Biol. 2005 Jun;43(6):555-60
pubmed: 15991583
J Proteomics. 2014 Jun 2;104:112-27
pubmed: 24675181
Tree Physiol. 2017 Dec 1;37(12):1752-1766
pubmed: 28985382
Molecules. 2015 Mar 19;20(3):5024-37
pubmed: 25808147
Front Plant Sci. 2016 Jun 24;7:938
pubmed: 27446166
Front Plant Sci. 2018 Sep 06;9:1283
pubmed: 30237806
BMC Plant Biol. 2015 May 16;15:121
pubmed: 25976599
Nat Plants. 2015 Jun 29;1:15089
pubmed: 27250255
Front Plant Sci. 2019 Mar 28;10:240
pubmed: 30984207
Front Plant Sci. 2017 Jul 14;8:1126
pubmed: 28769937
Bioinformatics. 2006 Jun 15;22(12):1540-2
pubmed: 16595560
Am J Bot. 2003 Jul;90(7):973-9
pubmed: 21659195
Tree Physiol. 2012 Feb;32(2):232-44
pubmed: 22310018
Methods Mol Biol. 2014;1166:171-97
pubmed: 24852636
Plant Cell Rep. 2008 Mar;27(3):435-41
pubmed: 17968553
Front Plant Sci. 2017 Aug 21;8:1460
pubmed: 28871271
Mol Plant. 2011 Jul;4(4):616-25
pubmed: 21357646
Plant Cell Physiol. 2018 Apr 1;59(4):651-655
pubmed: 29584903
Development. 2016 May 1;143(9):1442-51
pubmed: 27143753