ArticlePlanta2019
Silicon supply affects the root transcriptome of Brassica napus L.
Article in Planta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 36 citations in OpenAlex.
- Optimized application strategy of Nitrogen-Silicon (N-Si) fertilization improves nitrogen metabolism, grain yield, and growth of rice under dry cultivation.BMC plant biology · 2025Article
- Comparative transcriptomic analysis of the nodulation-competent zone and inference of transcription regulatory network in silicon applied Glycine max [L.]-Merr. Roots.Plant cell reports · 2024Article
- Ionomic and proteomic changes highlight the effect of silicon supply on the nodules functioning ofFrontiers in plant science · 2024Article
- Two-Component System Genes inInternational journal of molecular sciences · 2023Article
- Exogenous silicon promotes cadmium (Cd) accumulation inFrontiers in plant science · 2023Article
- Nutrient management: as a panacea to improve the caryopsis quality and yield potential of durum wheat (Frontiers in plant science · 2023Review
- Transcriptomic and metabolomic reveals silicon enhances adaptation of rice under dry cultivation by improving flavonoid biosynthesis, osmoregulation, and photosynthesis.Frontiers in plant science · 2022Article
- Multidimensional Role of Silicon to Activate Resilient Plant Growth and to Mitigate Abiotic Stress.Frontiers in plant science · 2022Review
- Silicon Amendment Enhances Agronomic Efficiency of Nitrogen Fertilization in Maize and Wheat Crops under Tropical Conditions.Plants (Basel, Switzerland) · 2021Article
- Article
- DiCoExpress: a tool to process multifactorial RNAseq experiments from quality controls to co-expression analysis through differential analysis based on contrasts inside GLM models.Plant methods · 2020Article
- Physiological and Transcriptional Responses of Industrial Rapeseed (International journal of molecular sciences · 2019Article
- Silicon Promotes Agronomic Performance inPlants (Basel, Switzerland) · 2019Article
- Silicon Uptake and Localisation in Date Palm (Frontiers in plant science · 2019Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MAIN
conclusionModulation of gene expression in roots of Brassica napus by silicon (Si) supply could allow plants to cope with future stresses. The origin of the beneficial effects of silicon (Si) in plants, especially when they are subject to stress, remains poorly understood. Some authors have shown that Si alleviates plant stress and consider that this is mainly due to a mechanical effect on the cell wall. In addition, the other studies have shown that Si can also affect gene expression and modulate a number of metabolic pathways, especially in plants cultivated under stress conditions. Previously, Haddad et al. (Front Plant Sci 9:5-16, 2018) showed that a pretreatment of Brassica napus plants with Si (1.7 mM) for 1 week alleviated the stress induced by N privation. These results suggest that this improved resistance in Si-treated plants might be due to the establishment of defense mechanisms prior to exposure to the N stress. The aim of the current work was to test this assumption in Brassica napus roots (where Si is mainly stored) using a transcriptomic approach via the RNA sequencing. Our results indicated that the Si supply leads to a modulation of the expression of genes in Brassica napus roots. Functional categorization of the differentially expressed genes demonstrated that numerous genes are involved in different metabolic pathways and especially in cell wall synthesis, phytohormone metabolism, and stress responses. All these results show that Si modifies the root metabolism of B. napus, which could allow a better adaptation to future stresses.
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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.