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ArticleMolecular biology reports2025

Major genic factors influencing nitrogen response in rice revealed through in-silico characterization and expression dynamics of a set of novel candidate genes.

Jeet Roy, Ankur Poudel, Sagnik Chanda, Antara Das, Amitha Mithra Sevanthi, Jayanthi Madhavan, Viswanathan Chinnusamy, Pranab Kumar Mandal

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Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Jeet RoyICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India.
Ankur PoudelICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India.
Sagnik ChandaICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India.
Antara DasICAR-Indian Institute of Pulses Research, Kanpur, 208024, India.
Amitha Mithra SevanthiICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India.
Jayanthi MadhavanICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Viswanathan ChinnusamyICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Pranab Kumar MandalICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India. pranabkumarmandal@gmail.com.

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6 · The paper itself

Abstract

backgroundRice is a primary cereal and staple food worldwide. Although rice cultivation requires a large amount of nitrogenous fertilizer, its nitrogen use efficiency (NUE) is only 20-50%. Therefore, in addition to soil and fertilizer management, it is crucial to improve the genetic potential of nitrogen use efficiency (NUE) in rice for this complex polygenic trait, which remains largely unexplored. METHODS AND

resultsIn the present study, 20 promising novel genes identified earlier were first characterized in silico, followed by expression analysis in different tissues and growth stages under N-optimal and N-stress conditions in the contrasting rice genotypes N22 (poor NUE) and IR64 (superior NUE). We observed some special features in different genes, like the absence of essential coding sequences (ATG or stop codons), untranslated transcripts (lncRNAs), overlapping gene sequences, and genes with antisense transcripts. Due to this complexity, the functions of these genes are yet to be determined. Expression profiling under nitrogen stress showed upregulation in both vegetative and reproductive stages in N22, while in IR64, upregulation was observed at the seedling stage and downregulation during the reproductive stage.

conclusionApart from functional proteins, nitrogen stress-responsive genes in rice also transcribe into lncRNAs, some of them showing allelic variation across genotypes. These genes are regulated by light and hormone-responsive promoter elements under nitrogen stress. This study improves the understanding of important N-stress responsive genes and alleles in the two contrasting genotypes. The present study aims to identify promising genes with unique features for their functional validation, and for supporting the molecular breeding programs to develop rice lines with improved NUE.

Indexed as

NitrogenOryzaComputer SimulationGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGenotypePlant ProteinsRNA, Long NoncodingNitrogenPlant ProteinsRNA, Long NoncodingGene expressionLncRNANitrogenNovel geneRice

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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 Socratic graph.