TransIntegrator: capture nearly full protein-coding transcript variants via integrating Illumina and PacBio...

Area of Science:

• Genomics
• Transcriptomics
• Computational Biology

Background:

• Detecting transcript variants is crucial for understanding gene function but remains challenging, especially in poorly annotated genomes.
• Accurate transcript variant identification is essential for comprehensive genome annotation.

Purpose of the Study:

• To develop a novel computational method, TransIntegrator, for transcriptome-wide detection of novel transcript variants.
• To create a comprehensive transcript variant library (iTranscriptome) for amphioxus using TransIntegrator.
• To improve genome annotation and transcriptome assembly using the developed method.

Main Methods:

• Generated 10 Illumina sequencing transcriptomes and 1 PacBio full-length transcriptome for amphioxus embryo development.
• Employed the TransIntegrator computational method to analyze transcriptomic data.
• Integrated multiple Illumina datasets for gene expansion analysis.

Main Results:

• Developed iTranscriptome, a library containing 91,915 distinct transcript variants (average 2.4 variants/gene).
• Expanded amphioxus gene count from 21,954 to 38,777, primarily due to Illumina data integration.
• Demonstrated TransIntegrator's superior performance in transcriptome assembly compared to hybrid methods like IDP-denovo and Trinity.

Conclusions:

• TransIntegrator provides an affordable and efficient method for reliable transcriptomic research.
• The developed iTranscriptome significantly enhances genome annotation quality.
• This approach facilitates accurate transcriptome assembly, outperforming existing hybrid methods.