PlantcircBase 7.0

PlantcircBase 7.0 catalogs plant circular RNAs (circRNAs), providing sequence data, conservation scores, and confidence metrics to support comparative and functional studies across plant species.


Key Features:

  • Extensive CircRNA Repository: Contains 171,118 circRNAs derived from 21 plant species.
  • Full-Length Transcript Availability: Provides full-length sequences for over 31,000 circRNAs reconstructed from analysis of 749 bulk RNA sequencing (RNA-seq) datasets and supplemented with Nanopore long-read sequencing data generated for rice.
  • Conservation Analysis (Plant Multiple Conservation Score, PMCS): Implements PMCS to evaluate circRNAs by combining sequence conservation and expression profile consistency across plant species.
  • Reliability Assessment (Plant CircRNA Confidence Level, PCCL): Reports PCCL to assess circRNA identity reliability by integrating experimental validation results and the number of supporting references.

Scientific Applications:

  • Functional characterization: Supports investigation of circRNA roles and potential functions in plant biological processes.
  • Comparative and evolutionary analysis: Enables assessment of cross-species conservation and expression patterns of circRNAs using PMCS.
  • Crop research: Facilitates studies linking circRNAs to crop resilience and productivity.

Methodology:

Full-length circRNA sequences were reconstructed from 749 bulk RNA-seq datasets and supplemented with Nanopore long-read sequencing for rice; PMCS evaluates sequence conservation and expression-profile consistency; PCCL integrates experimental validation outcomes and counts of supporting references.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
9/4/2022
Last Updated:
11/24/2024

Operations

Publications

Xu X, Du T, Mao W, Li X, Ye C, Zhu Q, Fan L, Chu Q. PlantcircBase 7.0: Full-length transcripts and conservation of plant circRNAs. Plant Communications. 2022;3(4):100343. doi:10.1016/j.xplc.2022.100343. PMID:35637632. PMCID:PMC9284285.

PMID: 35637632
PMCID: PMC9284285
Funding: - National Postdoctoral Program for Innovative Talents: BX20200301 - National Natural Science Foundation of China: 31871589, 32101729, 91740108