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Metabolomic and transcriptomic analyses of peach leaves and fruits in response to pruning.

Authors :
Liu XF
An XH
Li XM
Zhang H
Cao HB
Chen HJ
Tian Y
Source :
BMC genomics [BMC Genomics] 2024 Jul 03; Vol. 25 (1), pp. 666. Date of Electronic Publication: 2024 Jul 03.
Publication Year :
2024

Abstract

Background: Pruning is an important cultivation management option that has important effects on peach yield and quality. However, the effects of pruning on the overall genetic and metabolic changes in peach leaves and fruits are poorly understood.<br />Results: The transcriptomic and metabolomic profiles of leaves and fruits from trees subjected to pruning and unpruning treatments were measured. A total of 20,633 genes and 622 metabolites were detected. Compared with those in the control, 1,127 differentially expressed genes (DEGs) and 77 differentially expressed metabolites (DEMs) were identified in leaves from pruned and unpruned trees (pdLvsupdL), whereas 423 DEGs and 29 DEMs were identified in fruits from the pairwise comparison pdFvsupdF. The content of three auxin analogues was upregulated in the leaves of pruned trees, the content of all flavonoids detected in the leaves decreased, and the expression of almost all genes involved in the flavonoid biosynthesis pathway decreased. The phenolic acid and amino acid metabolites detected in fruits from pruned trees were downregulated, and all terpenoids were upregulated. The correlation analysis revealed that DEGs and DEMs in leaves were enriched in tryptophan metabolism, auxin signal transduction, and flavonoid biosynthesis. DEGs and DEMs in fruits were enriched in flavonoid and phenylpropanoid biosynthesis, as well as L-glutamic acid biosynthesis.<br />Conclusions: Pruning has different effects on the leaves and fruits of peach trees, affecting mainly the secondary metabolism and hormone signalling pathways in leaves and amino acid biosynthesis in fruits.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1471-2164
Volume :
25
Issue :
1
Database :
MEDLINE
Journal :
BMC genomics
Publication Type :
Academic Journal
Accession number :
38961329
Full Text :
https://doi.org/10.1186/s12864-024-10549-y