Unknown,Transcriptomics,Genomics,Proteomics

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The naked endosperm genes encode duplicate ID domain transcription factors required for maize endosperm differentiation

ABSTRACT: The objective of the current study is to unravel the gene regulatory networks controlled by the nkd genes during maize endosperm development. We compared wild type (B73) vs. nkd mutant (introgressed into B73 background) transcriptomes in aleurone vs. starchy endosperm cell types captured by laser capture microdissection technology. We performed RNA seq analysis of mid-mature (15DAP) endosperm in two cell types [aleurone (A) and starchy endosperm (S)] of wild type B73 (B) and nkd mutant (N) kernels with three independent biological replicates.

ORGANISM(S): Zea mays

SUBMITTER: Philip Becraft

PROVIDER: E-GEOD-61057 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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The naked endosperm genes encode duplicate INDETERMINATE domain transcription factors required for maize endosperm cell patterning and differentiation.

Yi Gibum G Neelakandan Anjanasree K AK Gontarek Bryan C BC Vollbrecht Erik E Becraft Philip W PW

Plant physiology 20141231 2

The aleurone is the outermost layer of cereal endosperm and functions to digest storage products accumulated in starchy endosperm cells as well as to confer important dietary health benefits. Whereas normal maize (Zea mays [Zm]) has a single aleurone layer, naked endosperm (nkd) mutants produce multiple outer cell layers of partially differentiated cells that show sporadic expression of aleurone identity markers such as a viviparous1 promoter-β-glucuronidase transgene. The 15:1 F2 segregation ra ...[more]

PMID: 25552497

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Project description:Heat stress occurrence during endosperm development and seed filling forms chalky portion in the limited zone of starchy endosperm of rice grains. In this study, isolation of aleurone, dorsal, central and lateral tissues of developing endosperm by laser-microdissection (LM) coupled with gene expression analysis of 44K microarray was performed to identify key regulatory genes involved in the formation of milky-white (MW) and white-back (WB) chalky grains during heat stress. Gene regulatory network analysis classified the genes changed under heat stress into five modules. the modules of genes changed in developing starchy endosperm corresponding to MW and WB portion under heat stress suggested different regulatory genes involved in each type of grain chalk. The most distinct expression pattern was observed in a M1 and M2 modules where most of the small heat shock proteins and cellular organisation genes being upregulated under heat stress in dorsal aleurone cells and dorsal starchy endosperm zones The histological observation supported the significant increase in cell number and size of dorsal aleurone cells in WB grains. With regard to the central zone of starchy endosperm, preferential downregulation of high molecular weight heat shock proteins (HMW HSPs) including a prominent member encoding for endoplasmic reticulum (ER) chaperones by heat stress were observed, while expression of starch-biosynthesis genes remained unaffected. Characterization of transgenic plants supressing endosperm lumenal binding protein (BiP1), an ER chaperone preferentially downregulated at MW portion under heat stress, showed an evidence of forming the chalky grains without disturbing the expression of starch-biosynthesis genes. The present LM-based comprehensive expression analyses provides novel inferences that HMW HSPs play important role in controlling the redox, nitrogen and amino aicd metabolism in endosperm leading to the formation of MW and WB chalky grains.Keywords ; developing endosperm, gene expression, grain chalkiness, heat stress, laser-microdissection, Oryza sativa.

Dataset Information

The naked endosperm genes encode duplicate ID domain transcription factors required for maize endosperm differentiation

Publications

The naked endosperm genes encode duplicate INDETERMINATE domain transcription factors required for maize endosperm cell patterning and differentiation.

Similar Datasets

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