AtRTD - a comprehensive reference transcript dataset resource for accurate quantification of transcript-specific...

Area of Science:

• Plant Molecular Biology
• Genomics
• Bioinformatics

Background:

• RNA-sequencing (RNA-seq) is crucial for gene expression analysis.
• Quantifying alternative splicing (AS) variants accurately using RNA-seq remains a significant challenge.

Purpose of the Study:

• To develop a comprehensive reference transcript dataset for Arabidopsis.
• To improve the accuracy of alternative splicing quantification in RNA-seq data.

Main Methods:

• Created the Arabidopsis reference transcript dataset (AtRTD) by merging existing and novel transcripts.
• Utilized alignment-free programs (Sailfish, Salmon) for transcript abundance estimation.
• Validated RNA-seq splicing ratio quantification using high-resolution reverse transcription PCR (HR RT-PCR).

Main Results:

• The AtRTD comprises over 74,000 nonredundant transcripts.
• Transcript abundance estimation using Sailfish and Salmon showed good correlation with HR RT-PCR validation.
• Demonstrated the accuracy of quantifying individual transcript abundances in RNA-seq data.

Conclusions:

• The AtRTD is a valuable resource for analyzing Arabidopsis RNA-seq data.
• The dataset facilitates accurate quantification of differential transcript abundance and expression.
• This work enhances the study of alternative splicing in plants using RNA-seq.