ArticleScientific reports2015
Revisiting the chlorophyll biosynthesis pathway using genome scale metabolic model of Oryza sativa japonica.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 41 citations in OpenAlex.
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- Multiplex CRISPR-Cas9 editing of chlorophyll biosynthesis genes in chickpea via protoplast and Agrobacterium-mediated transformation.Functional & integrative genomics · 2025Article
- Integration of GWAS and transcriptome approaches for the identification of nitrogen-, phosphorus-, and potassium-responsive genes in tomato.Horticulture research · 2025Article
- Sterols in plant biologyCell surface (Amsterdam, Netherlands) · 2025Review
- Non-canonical plant metabolism.Nature plants · 2025Review
- A Guide to Metabolic Network Modeling for Plant Biology.Plants (Basel, Switzerland) · 2025Review
- Bacillus altitudinis Mediated Lead Bioremediation for Enhanced Growth of Rice Seedlings.Current microbiology · 2024Article
- Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning.Frontiers in plant science · 2024Article
- Elucidating the impact ofFrontiers in plant science · 2023Article
- Metabolic modelling revealed source-sink interactions between four segments ofJournal of biosciences · 2023Article
- Transcriptomics and Genomics Analysis Uncover the Differentially Expressed Chlorophyll and Carotenoid-Related Genes in Celery.International journal of molecular sciences · 2022Article
- Multi-Species Prediction of Physiological Traits with Hyperspectral Modeling.Plants (Basel, Switzerland) · 2022Article
- Exploring synergies between plant metabolic modelling and machine learning.Computational and structural biotechnology journal · 2022Review
- Elucidating Plant-Microbe-Environment Interactions Through Omics-Enabled Metabolic Modelling Using Synthetic Communities.Frontiers in plant science · 2022Article
- Characterization of effects of genetic variants via genome-scale metabolic modelling.Cellular and molecular life sciences : CMLS · 2021Review
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- Dark/Light Treatments Followed by γ-Irradiation Increase the Frequency of Leaf-Color Mutants inPlants (Basel, Switzerland) · 2020Article
- Deciphering rice metabolic flux reprograming under salinity stress viaComputational and structural biotechnology journal · 2020Article
- Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chlorophyll is one of the most important pigments present in green plants and rice is one of the major food crops consumed worldwide. We curated the existing genome scale metabolic model (GSM) of rice leaf by incorporating new compartment, reactions and transporters. We used this modified GSM to elucidate how the chlorophyll is synthesized in a leaf through a series of bio-chemical reactions spanned over different organelles using inorganic macronutrients and light energy. We predicted the essential reactions and the associated genes of chlorophyll synthesis and validated against the existing experimental evidences. Further, ammonia is known to be the preferred source of nitrogen in rice paddy fields. The ammonia entering into the plant is assimilated in the root and leaf. The focus of the present work is centered on rice leaf metabolism. We studied the relative importance of ammonia transporters through the chloroplast and the cytosol and their interlink with other intracellular transporters. Ammonia assimilation in the leaves takes place by the enzyme glutamine synthetase (GS) which is present in the cytosol (GS1) and chloroplast (GS2). Our results provided possible explanation why GS2 mutants show normal growth under minimum photorespiration and appear chlorotic when exposed to air.
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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.