Evidence map›Paper›PMID 38961329›Full record

ArticleBMC genomics2024

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

Xiao-Fei Liu, Xiu-Hong An, Xin-Miao Li, He Zhang, Hong-Bo Cao, Hai-Jiang Chen, Yi Tian

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Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiao-Fei Liu *College of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071000, China.
Xiu-Hong An *College of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071000, China.
Xin-Miao LiCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071000, China.
He ZhangCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071000, China.
Hong-Bo CaoCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071000, China.
Hai-Jiang ChenCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071000, China. yychj@hebau.edu.cn.
Yi TianCollege of Horticulture, Hebei Agricultural University, Baoding, Hebei, 071000, China. tianyi@hebau.edu.cn.

Funding

the Peach Innovation Team of Hebei Province HBCT2021220401
6 · The paper itself

Abstract

backgroundPruning 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.

resultsThe 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.

conclusionsPruning 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.

Indexed as

FruitGene Expression ProfilingMetabolomicsPlant LeavesPrunus persicaFlavonoidsGene Expression Regulation, PlantIndoleacetic AcidsMetabolomeTranscriptomeFlavonoidsIndoleacetic AcidsAuxinCoexpression network analysisFlavonoid biosynthesisPruned peach treesTryptophan and glutathione metabolism

Identifiers

PMID38961329
PMCPMC11223333

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.