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Updated: Feb 24, 2026

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

Reference transcriptome assembly and annotation for perennial ryegrass.

Hiroshi Shinozuka¹, Noel O I Cogan^1,2, German C Spangenberg^1,2

¹a Agriculture Victoria, AgriBio, the Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria 3083, Australia.

|August 26, 2017

Summary

This summary is machine-generated.

Researchers created a valuable transcriptome sequence resource for perennial ryegrass using RNA-Seq. This data aids in understanding gene function and improving this important temperate pasture grass.

Keywords:

Lolium RNA-Seq breeding candidate gene gène candidat pasture pâturage sélection unigene unigène

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Area of Science:

Plant Genomics
Bioinformatics
Molecular Biology

Background:

Perennial ryegrass is a crucial temperate pasture grass with significant agricultural importance.
A comprehensive transcriptome resource is essential for advancing genomic research and breeding efforts in this species.

Purpose of the Study:

To generate a high-quality transcriptome sequence resource for perennial ryegrass.
To provide a foundation for future genomic studies, including whole genome assembly and comparative genomics.
To facilitate the identification of candidate genes related to various biological functions in perennial ryegrass.

Main Methods:

RNA-Sequencing (RNA-Seq) methodology was employed to capture the transcriptome.
Data was generated from 19 distinct tissue samples, covering both vegetative and reproductive developmental stages.
Bioinformatic assembly of sequencing reads resulted in a filtered reference set of contigs and scaffolds.

Main Results:

A substantial dataset of 931,054,255 reads was generated.
The final filtered reference transcriptome comprises 48,713 contigs and scaffolds.
This resource represents a significant advancement in perennial ryegrass genomic data.

Conclusions:

The generated transcriptome resource is a valuable asset for perennial ryegrass research.
It will significantly support whole genome sequence assembly and comparative genomics initiatives.
The resource enables the implementation of genotyping-by-sequencing (GBS) and aids in identifying candidate genes for diverse traits.