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Updated: Jul 11, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Meta-analysis of transcriptomics studies identifies novel attributes and set of genes involved in iron homeostasis in
Pooja Kanwar Shekhawat1,2, Shaswati Sardar1, Banita Yadav1
1National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, JNU Campus, New Delhi, 110067, India.
Abstract:
Iron (Fe) is an important micronutrient for humans as well as for plant growth and development. Rice employs multiple mechanisms to counteract the negative effects of Fe deficiency and Fe toxicity. Previously, many transcriptomics studies have identified hundreds of genes affected by Fe deficiency and/or Fe toxicity. These studies are highly valuable to identify novel genes involved in Fe homeostasis. However, in the absence of their systematic integration, they remain underutilized. A systematic meta-analysis of transcriptomics data from such ten previous studies was performed here to identify various common attributes. From this meta-analysis, it is revealed that under Fe deficiency conditions, root transcriptome is more sensitive and exhibits greater similarity across multiple studies than the shoot transcriptome. Furthermore, under Fe toxicity conditions, upregulated genes are more reliable and consistent than downregulated genes in susceptible cultivars. The integration of data from Fe deficiency and Fe toxicity conditions helped to identify key marker genes for Fe stress. As a proof-of-concept of the analysis, among the genes consistently regulated in opposite directions under Fe deficiency and toxicity conditions, two genes were selected: a proton-dependent oligopeptide transporter (POT) family protein and Vacuolar Iron Transporter (VIT)-Like (VTL) gene, and validated their expression and sub-cellular localization. Since VIT genes are known to play an important role in Fe homeostasis in plants, the entire OsVTL gene family in rice was characterized. This meta-analysis has identified many novel candidate genes that exhibit consistent expression patterns across multiple tissues, conditions, and studies. This makes them potential targets for future research aimed at developing Fe-biofortified rice varieties, as well as varieties tolerant to sub-optimal Fe levels in soil.
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