4.7 Article

Dissecting the nutrient partitioning mechanism in rice grain using spatially resolved gene expression profiling

Journal

JOURNAL OF EXPERIMENTAL BOTANY
Volume 72, Issue 6, Pages 2212-2230

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/jxb/eraa536

Keywords

Grain; nutrient partitioning; rice; spatial regulation; transcriptomics

Categories

Funding

  1. DST-INSPIRE Faculty grant from Department of Science and Technology, Government of India [DST/INSPIRE/04/2016/001118]
  2. National Agri-Food Biotechnology Institute (NABI), Department of Biotechnology (DBT), Govt. of India

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An optimized rapid laser capture microdissection (LCM) approach was used to investigate gene expression in different grain tissues of rice, identifying numerous differentially expressed genes and analyzing promoter sequences related to seed development. Spatial gene expression pathways for accumulation of nutrients such as starch, proteins, lipids, and iron were built using the identified differentially expressed genes. Insights were gained on nutrient partitioning mechanisms, including a gradient in seed storage protein accumulation and the likely transcriptional control of mineral transporters.
Rice, a staple food worldwide, contains varying amounts of nutrients in different grain tissues. The underlying molecular mechanism of such distinct nutrient partitioning remains poorly investigated. Here, an optimized rapid laser capture microdissection (LCM) approach was used to individually collect pericarp, aleurone, embryo and endosperm from grains 10 days after fertilization. Subsequent RNA-Seq analysis in these tissues identified 7760 differentially expressed genes. Analysis of promoter sequences of tissue-specific genes identified many known and novel cis-elements important for grain filling and seed development. Using the identified differentially expressed genes, comprehensive spatial gene expression pathways were built for accumulation of starch, proteins, lipids, and iron. The extensive transcriptomic analysis provided novel insights about nutrient partitioning mechanisms; for example, it revealed a gradient in seed storage protein accumulation across the four tissue types analysed. The analysis also revealed that the partitioning of various minerals, such as iron, is most likely regulated through transcriptional control of their transporters. We present the extensive analysis from this study as an interactive online tool that provides a much-needed resource for future functional genomics studies aimed to improve grain quality and seed development.

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