Systematic and computational identification of Androctonus crassicauda long non-coding RNAs.

Area of Science:

• Genomics
• Non-coding RNA research
• Animal transcriptomics

Background:

• Long non-coding RNAs (lncRNAs) play crucial roles in biological processes.
• Research on lncRNAs in non-model animals remains limited.
• Understanding lncRNAs in diverse species like scorpions is vital for comparative genomics.

Purpose of the Study:

• To identify and characterize long non-coding RNAs (lncRNAs) in the scorpion Androctonus crassicauda.
• To develop and validate a robust pipeline for lncRNA discovery in species lacking reference genomes.
• To analyze the distinct features of scorpion lncRNAs.

Main Methods:

• A stringent step-by-step filtering pipeline was employed for lncRNA identification.
• Machine learning-based tools were utilized for transcript analysis.
• BLAST searches were performed to assess sequence homology with known lncRNAs.
• Transcriptome data from Androctonus crassicauda was analyzed.

Main Results:

• 13,401 lncRNAs were detected in the A. crassicauda transcriptome.
• A significant majority (12,642) of identified lncRNAs were novel, lacking identifiable orthologs.
• The developed pipeline effectively distinguished protein-coding from non-coding transcripts.
• A. crassicauda lncRNAs are characterized by lower protein-coding potential, GC content, and transcript length, with fewer isoforms per gene.

Conclusions:

• The stringent filtering pipeline is effective for lncRNA discovery in non-model organisms.
• A. crassicauda possesses a unique set of lncRNAs with distinct molecular features.
• This study provides a foundation for future research into lncRNA functions in scorpions and other non-model animals.