P-Finder

P-Finder identifies RNase P RNA genes (rnpB) in prokaryotic genomes, enabling sensitive and accurate annotation despite high sequence variability and structural diversity.


Key Features:

  • Comprehensive RNase P RNA database: Leverages the largest known RNase P RNA database as a reference for detection.
  • Local alignment scoring algorithm: Employs an advanced local alignment scoring algorithm for rnpB gene detection.
  • High sensitivity and accuracy: Detects rnpB genes in nearly 99% of examined microbial genomes.
  • Structural variability handling: Identifies diverse RNase P RNA structural classes, including C-type and minimal T-type RNAs, across at least five distinct prokaryotic structure types.
  • Improved performance over covariance models: Addresses limitations of previous covariance model approaches that struggled with RNase P RNA structural variability.

Scientific Applications:

  • Discovery of novel rnpB genes: Computationally identified four new rnpB genes encoding minimal T-type P RNase P RNAs.
  • Identification of rare structural types: Detected the second C-type RNase P RNA in Sphaerobacter thermophilus.
  • Evolutionary and symbiosis studies: Revealed absence of RNase P RNAs in several obligate endosymbionts of sap-sucking insects, suggesting a novel evolutionary adaptation.

Methodology:

Couples the largest known RNase P RNA database with a local alignment scoring algorithm to enhance sensitivity and speed relative to covariance model approaches.

Topics

Details

Tool Type:
desktop application
Programming Languages:
C#
Added:
1/18/2021
Last Updated:
3/15/2021

Operations

Publications

Ellis JC. P finder: genomic and metagenomic annotation of RNase P RNA gene (rnpB). BMC Genomics. 2020;21(1). doi:10.1186/s12864-020-6615-z. PMID:32349659. PMCID:PMC7191817.

PMID: 32349659
PMCID: PMC7191817
Funding: - Center for Bioenergy Innovation: DE-AC05-00OR2272 - Plant Microbe Interfaces: DE-AC05-00OR22725