Disentangling sRNA-Seq

Disentangling sRNA-Seq disentangles small RNA sequencing (sRNA-Seq) data from samples containing two interacting organisms to resolve mapping ambiguity and identify organism-specific sRNAs in host–pathogen and other symbiotic systems.

Key Features:

• Handling Ambiguity in Mapping: Addresses sequences that map equally well to both interacting genomes, a problem amplified by the small size of sRNAs and conserved miRNAs, rRNAs, and tRNAs across species.
• Sequence Assembly: Employs de novo and genome-guided assembly to reduce mapping ambiguities and improve accuracy of assigning sRNAs to each organism.
• Differential Expression Analysis: Uses differential expression analysis to distinguish true parasite-derived sRNAs within host cells from sRNAs misleadingly mapped due to sequence similarity.

Scientific Applications:

• Host-Pathogen Interactions: Identifies specific sRNAs exchanged between hosts and pathogens to study their roles in host defense and pathogen strategies.
• Cross-Species RNA Communication: Applies to diverse plant and animal species to analyze RNA exchange between symbionts.
• Validation in Heligmosomoides bakeri–mouse system: Validated on extracellular vesicle sRNAs from the parasitic nematode Heligmosomoides bakeri that enter mouse intestinal epithelial cells.

Methodology:

Explicit computational steps include collection of sRNA-Seq data from samples containing two interacting organisms, sequence assembly using de novo and genome-guided approaches, and differential expression analysis to identify organism-specific sRNAs.