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Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

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Published on: May 21, 2020

A decade of pollen transcriptomics.

Nicholas Rutley¹, David Twell

¹Department of Biology, University of Leicester, Leicester, LE1 7RH, UK.

Plant Reproduction

|March 13, 2015

Summary

This summary is machine-generated.

Pollen transcriptome studies reveal gene expression drives pollen development. Recent advances in RNA sequencing and microarray analysis provide a genomic-scale understanding of this crucial process.

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An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis

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Published on: January 11, 2017

Area of Science:

Plant Biology
Molecular Biology
Genomics

Background:

Pollen development is a complex process regulated by gene expression.
Historically, understanding male gametophyte gene expression was limited.
Recent technological advancements have enabled large-scale transcriptome analyses.

Purpose of the Study:

To provide an overview of pollen transcriptome studies.
To review the available data on pollen gene expression.
To highlight the progress in understanding pollen development through transcriptomics.

Main Methods:

Review of historical evidence for male haploid gene expression.
Analysis of available pollen transcriptome data.
Integration of microarray and RNA-sequencing (RNA-seq) data.

Main Results:

Significant progress has been made in understanding pollen development via transcriptome studies.
Transcriptome data is now available for various stages and cell types of developing pollen across 10 angiosperm species.
These datasets represent a shift from gene-by-gene analysis to genomic-scale investigations.

Conclusions:

Pollen transcriptome data has rapidly advanced the field of plant reproduction research.
These resources will drive future research into pollen development, function, and evolution.
System-based research approaches are expected to emerge from these findings.