EST sequencing and gene expression profiling in Scutellaria baicalensis

Area of Science:

• Genomics
• Plant Biology
• Bioinformatics

Background:

• Scutellaria baicalensis is a valuable medicinal plant with limited genomic resources.
• Genome research increasingly focuses on understanding the full spectrum of transcribed genes.
• Developing genomic tools for non-model plants is a significant challenge.

Purpose of the Study:

• To generate and analyze extensive transcriptome data for Scutellaria baicalensis during its early growth stage.
• To establish a genome-wide transcriptome analysis strategy for non-model medicinal plants.
• To make expressed sequence data publicly available for future research.

Main Methods:

• Shotgun sequencing using Roche/454 GS_FLX+ and Illumina/Solexa HiSeq2000 platforms.
• De novo assembly of next-generation sequencing (NGS) reads to construct a transcriptome consensus sequence.
• BLASTX searches against the NCBI non-redundant database to identify known genes.

Main Results:

• Generated over 1.2 million (GS_FLX) and 161 million (Illumina) reads.
• Assembled >82 Mb of mRNA consensus sequence into 51,188 contigs (>500 bp).
• Identified 39,581 contigs with known genes, including 20,498 unique expressed genes.

Conclusions:

• Combining NGS technologies is an efficient strategy for genome-wide transcriptome analysis in non-model plants.
• The generated transcriptome data provides essential genomic resources for Scutellaria baicalensis.
• This study facilitates future research on gene regulation and the biology of medicinal plants.