ArticleScientific reports2021
Integrated transcriptomic and metabolomic analysis provides insight into the regulation of leaf senescence in rice.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 37 citations in OpenAlex.
- Integrated Transcriptomic and Metabolomic Analysis Deciphers the Molecular and Metabolic Mechanisms Underlying Growth Rate Divergence in Dezhou Donkeys.Animals : an open access journal from MDPI · 2026Article
- Molecular and Physiological Regulation of Premature Leaf Senescence in Rice.Plants (Basel, Switzerland) · 2026Review
- Phenylalanine Ammonia-Lyase: A Core Regulator of Plant Carbon Metabolic Flux Redistribution-From Molecular Mechanisms and Growth Modulation to Stress Adaptability.Plants (Basel, Switzerland) · 2025Review
- Transcriptome analysis unveils the intricate dynamics of senescence responses in Himalayan treeline species,Journal of genetics · 2025Article
- Transcriptome and Metabolome Analyses of Leaves from Cutting Rejuvenation of AncientInternational journal of molecular sciences · 2024Article
- Implications of the Propagation Method for the Phytochemistry ofMolecules (Basel, Switzerland) · 2024Article
- Decoupling of nitrogen allocation and energy partitioning in rice after flowering.Ecology and evolution · 2024Article
- Leaf Senescence Regulation Mechanism Based on Comparative Transcriptome Analysis in Foxtail Millet.International journal of molecular sciences · 2024Article
- Article
- Melatonin Delays Postharvest Senescence through Suppressing the Inhibition of BrERF2/BrERF109 on Flavonoid Biosynthesis in Flowering Chinese Cabbage.International journal of molecular sciences · 2023Article
- Comprehensive insights into herbicide resistance mechanisms in weeds: a synergistic integration of transcriptomic and metabolomic analyses.Frontiers in plant science · 2023Review
- Integrated physiological and metabolomic analyses reveal changes during the natural senescence of Quercus mongolica leaves.PloS one · 2023Article
- Transcriptome and Metabolome Analyses Reveal New Insights into the Regulatory Mechanism of Head Milled Rice Rate.Plants (Basel, Switzerland) · 2022Article
- Stress, senescence, and specialized metabolites in bryophytes.Journal of experimental botany · 2022Review
- Transcriptome Analysis of Leaf Senescence Regulation Under Alkaline Stress inFrontiers in plant science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leaf senescence is one of the most precisely modulated developmental process and affects various agronomic traits of rice. Anti-senescence rice varieties are important for breeding application. However, little is known about the mechanisms underlying the metabolic regulatory process of leaf senescence in rice. In this study, we performed transcriptomic and metabolomic analyses of the flag leaves in Yuenong Simiao (YN) and YB, two indica rice cultivars that differ in terms of their leaf senescence. We found 8524 genes/204 metabolites were differentially expressed/accumulated in YN at 30 days after flowering (DAF) compared to 0 DAF, and 8799 genes/205 metabolites were differentially expressed in YB at 30 DAF compared to 0 DAF. Integrative analyses showed that a set of genes and metabolites involved in flavonoid pathway were significantly enriched. We identified that relative accumulation of PHENYLALANINE AMMONIA-LYASE (PAL), CINNAMATE 4-HYDROXYLASE (C4H), 4-COUMAROYL-COA LIGASE (4CL), CHALCONE SYNTHASE (CHS) and CHALCONE ISOMERASE (CHI) in YN30/0 was higher than that in YB30/0. Three flavonoid derivatives, including phloretin, luteolin and eriodictyol, showed lower abundances in YB than in YN at 30 DAF. We further revealed a MYB transcription factor, which is encoded by OsR498G0101613100 gene, could suppress the expression of CHI and CHS. Our results suggested a comprehensive analysis of leaf senescence in a view of transcriptome and metabolome and would contribute to exploring the molecular mechanism of leaf senescence in rice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.