Comparative metabolomics analysis of different sesame (Sesamum indicum L.) tissues reveals a tissue-specific accumulation of metabolites.
LC–MS/MS
Metabolic pathway
Metabolome profiling
Sesame
Tissue-specific metabolites
Journal
BMC plant biology
ISSN: 1471-2229
Titre abrégé: BMC Plant Biol
Pays: England
ID NLM: 100967807
Informations de publication
Date de publication:
24 Jul 2021
24 Jul 2021
Historique:
received:
14
04
2021
accepted:
12
07
2021
entrez:
25
7
2021
pubmed:
26
7
2021
medline:
10
8
2021
Statut:
epublish
Résumé
Sesame (Sesamum indicum L.) leaves, flowers, especially seeds are used in traditional medicine to prevent or cure various diseases. Its seed's market is expanding. However, the other tissues are still underexploited due to the lack of information related to metabolites distribution and variability in the plant. Herein, the metabolite profiles of five sesame tissues (leaves, fresh seeds, white and purple flowers, and fresh carpels) have been investigated using ultra-high-performance liquid chromatography-mass spectrometry (UPLC-MS/MS)-based widely targeted metabolomics analysis platform. In total, 776 metabolites belonging to diverse classes were qualitatively and quantitatively identified. The different tissues exhibited obvious differences in metabolites composition. The majority of flavonoids predominantly accumulated in flowers. Amino acids and derivatives, and lipids were identified predominantly in fresh seeds followed by flowers. Many metabolites, including quinones, coumarins, tannins, vitamins, terpenoids and some bioactive phenolic acids (acteoside, isoacteoside, verbascoside, plantamajoside, etc.) accumulated mostly in leaves. Lignans were principally detected in seeds. 238 key significantly differential metabolites were filtered out. KEGG annotation and enrichment analyses of the differential metabolites revealed that flavonoid biosynthesis, amino acids biosynthesis, and phenylpropanoid biosynthesis were the main differently regulated pathways. In addition to the tissue-specific accumulation of metabolites, we noticed a cooperative relationship between leaves, fresh carpels, and developing seeds in terms of metabolites transfer. Delphinidin-3-O-(6"-O-p-coumaroyl)glucoside and most of the flavonols were up-regulated in the purple flowers indicating they might be responsible for the purple coloration. This study revealed that the metabolic processes in the sesame tissues are differently regulated. It offers valuable resources for investigating gene-metabolites interactions in sesame tissues and examining metabolic transports during seed development in sesame. Furthermore, our findings provide crucial knowledge that will facilitate sesame biomass valorization.
Sections du résumé
BACKGROUND
BACKGROUND
Sesame (Sesamum indicum L.) leaves, flowers, especially seeds are used in traditional medicine to prevent or cure various diseases. Its seed's market is expanding. However, the other tissues are still underexploited due to the lack of information related to metabolites distribution and variability in the plant. Herein, the metabolite profiles of five sesame tissues (leaves, fresh seeds, white and purple flowers, and fresh carpels) have been investigated using ultra-high-performance liquid chromatography-mass spectrometry (UPLC-MS/MS)-based widely targeted metabolomics analysis platform.
RESULTS
RESULTS
In total, 776 metabolites belonging to diverse classes were qualitatively and quantitatively identified. The different tissues exhibited obvious differences in metabolites composition. The majority of flavonoids predominantly accumulated in flowers. Amino acids and derivatives, and lipids were identified predominantly in fresh seeds followed by flowers. Many metabolites, including quinones, coumarins, tannins, vitamins, terpenoids and some bioactive phenolic acids (acteoside, isoacteoside, verbascoside, plantamajoside, etc.) accumulated mostly in leaves. Lignans were principally detected in seeds. 238 key significantly differential metabolites were filtered out. KEGG annotation and enrichment analyses of the differential metabolites revealed that flavonoid biosynthesis, amino acids biosynthesis, and phenylpropanoid biosynthesis were the main differently regulated pathways. In addition to the tissue-specific accumulation of metabolites, we noticed a cooperative relationship between leaves, fresh carpels, and developing seeds in terms of metabolites transfer. Delphinidin-3-O-(6"-O-p-coumaroyl)glucoside and most of the flavonols were up-regulated in the purple flowers indicating they might be responsible for the purple coloration.
CONCLUSION
CONCLUSIONS
This study revealed that the metabolic processes in the sesame tissues are differently regulated. It offers valuable resources for investigating gene-metabolites interactions in sesame tissues and examining metabolic transports during seed development in sesame. Furthermore, our findings provide crucial knowledge that will facilitate sesame biomass valorization.
Identifiants
pubmed: 34303354
doi: 10.1186/s12870-021-03132-0
pii: 10.1186/s12870-021-03132-0
pmc: PMC8305604
doi:
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
352Informations de copyright
© 2021. The Author(s).
Références
BMC Genet. 2019 May 16;20(1):45
pubmed: 31096908
Int J Mol Sci. 2019 Mar 15;20(6):
pubmed: 30875872
BMC Cancer. 2020 Sep 29;20(1):936
pubmed: 32993568
Phytother Res. 2020 Aug;34(8):1966-1991
pubmed: 32135035
Phytother Res. 2019 Sep;33(9):2221-2243
pubmed: 31359516
PLoS One. 2016 Oct 5;11(10):e0163782
pubmed: 27706214
Appl Biochem Biotechnol. 2019 Nov;189(3):855-870
pubmed: 31131419
Biomed Pharmacother. 2017 May;89:524-528
pubmed: 28254664
Zhongguo Zhong Yao Za Zhi. 2007 Apr;32(7):603-5
pubmed: 17583201
Ann N Y Acad Sci. 2017 Jun;1398(1):120-129
pubmed: 28436044
Environ Toxicol Pharmacol. 2019 Jan;65:73-81
pubmed: 30579107
Anal Chem. 2010 May 15;82(10):4165-73
pubmed: 20405949
Eur J Pharmacol. 2020 Oct 15;885:173417
pubmed: 32750369
Curr Opin Plant Biol. 2018 Feb;41:32-38
pubmed: 28854397
Crit Rev Oncol Hematol. 2017 Nov;119:13-22
pubmed: 29065980
Enzyme Microb Technol. 2016 May;86:103-16
pubmed: 26992799
Phytochemistry. 2017 May;137:52-56
pubmed: 28189342
J Nutr Biochem. 2017 Aug;46:1-12
pubmed: 28182964
Phytochemistry. 2013 Oct;94:123-34
pubmed: 23790644
J Food Sci Technol. 2019 Feb;56(2):976-986
pubmed: 30906055
DNA Res. 2020 Apr 1;27(2):
pubmed: 32426807
Kaohsiung J Med Sci. 2021 Feb;37(2):136-144
pubmed: 33128488
Anticancer Drugs. 2020 Jan;31(1):1-5
pubmed: 31609769
Physiol Mol Biol Plants. 2015 Oct;21(4):519-29
pubmed: 26600678
Plant Cell. 2008 Aug;20(8):2160-76
pubmed: 18757557
Phytochemistry. 2008 Oct;69(13):2463-81
pubmed: 18774147
Mol Plant. 2013 Nov;6(6):1769-80
pubmed: 23702596
Cureus. 2017 Jul 6;9(7):e1438
pubmed: 28924525
Brief Funct Genomics. 2018 Jul 22;18(4):230-239
pubmed: 30462152
Food Res Int. 2019 Jan;115:379-392
pubmed: 30599956
Niger J Physiol Sci. 2011 Nov 23;26(1):49-54
pubmed: 22314987
Hortic Res. 2019 Jan 1;6:3
pubmed: 30622721
Planta. 2017 Nov;246(5):803-816
pubmed: 28803364
Protoplasma. 2020 Jul;257(4):1093-1108
pubmed: 32152722
Bioorg Chem. 2013 Oct;50:1-10
pubmed: 23933354
Int J Biol Sci. 2018 Mar 9;14(3):341-357
pubmed: 29559851
Fitoterapia. 2012 Dec;83(8):1616-22
pubmed: 22999990
PLoS One. 2018 Mar 27;13(3):e0194449
pubmed: 29584748
Molecules. 2018 Jul 21;23(7):
pubmed: 30037120
Nat Prod Res. 2020 Jul;34(13):1931-1936
pubmed: 30676079
Biomed Pharmacother. 2017 Nov;95:1295-1300
pubmed: 28938520
Phytochem Anal. 2014 Nov-Dec;25(6):514-28
pubmed: 24737553
Nutrients. 2019 Sep 25;11(10):
pubmed: 31557798
Eur J Pharmacol. 2017 Nov 15;815:512-521
pubmed: 29032105
Nat Prod Res. 2016;30(3):311-5
pubmed: 26181100
Fitoterapia. 2020 Apr;142:104495
pubmed: 32045692
Molecules. 2018 Feb 23;23(2):
pubmed: 29473839
Res Microbiol. 2019 Nov - Dec;170(8):321-337
pubmed: 31560984
J Ethnopharmacol. 2019 May 10;235:329-360
pubmed: 30769039
Eur J Pharmacol. 2019 Jul 15;855:75-89
pubmed: 31063773
Molecules. 2019 Mar 18;24(6):
pubmed: 30889850