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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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PacBio Iso-Seq Improves the Rainbow Trout Genome Annotation and Identifies Alternative Splicing Associated With

Ali Ali1, Gary H Thorgaard2, Mohamed Salem1

  • 1Department of Animal and Avian Sciences, University of Maryland, College Park, College Park, MD, United States.

Frontiers in Genetics
|August 2, 2021
PubMed
Summary

This study presents the first full-length rainbow trout transcriptome assembly using long-read sequencing, revealing novel transcripts and alternative splicing events. This resource aids understanding of fish growth, disease resistance, and selective breeding.

Keywords:
Iso-SeqPacBioalternative polyadenylationalternative splicingexon usagelong readsrainbow trouttranscriptome

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Area of Science:

  • Aquatic Genomics
  • Transcriptomics
  • Molecular Biology

Background:

  • Rainbow trout (Oncorhynchus mykiss) is a key model organism for biological research.
  • Previous transcriptome studies relied on short-read sequencing, limiting resolution of transcript complexity.

Purpose of the Study:

  • To generate the first full-length transcriptome assembly of rainbow trout using single-molecule long-read isoform sequencing (Iso-Seq).
  • To refine and validate the reconstructed transcriptome and improve genome annotation.

Main Methods:

  • Single-molecule long-read isoform sequencing (Iso-Seq) was employed for transcriptome assembly.
  • Extensive computational approaches were utilized for transcriptome refinement and validation.

Main Results:

  • Identified 10,640 novel high-confidence transcripts and 1,479 unmapped isoforms.
  • Revealed an average of ~3 transcript isoforms per gene locus, with intron retention and exon skipping dominating alternative splicing (56%).
  • Linked specific alternative splicing events to fish growth, disease resistance (e.g., bacterial cold-water disease), stress response, and migration.

Conclusions:

  • The Iso-Seq approach significantly enhanced rainbow trout genome annotation.
  • The reconstructed transcriptome provides valuable resources for future genetics and genomics studies.
  • Identified transcription events associated with economically important traits offer potential for selective breeding applications.