AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. Issue Volume 49:Issue D1(2021) (17th October 2020)

• Record Type: Journal Article
• Authors: Huang, Le; Yang, Bowen; Yi, Haidong; Asif, Amina; Wang, Jiawei; Lithgow, Trevor; Zhang, Han; Minhas, Fayyaz ul Amir Afsar; Yin, Yanbin
• Is Part Of: Nucleic acids research. Volume 49:Issue D1(2021)
• Page Start: D622
• Page End: D629
• Publication Date: 2020-10-17
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkaa857
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: CRISPR–Cas is an anti-viral mechanism of prokaryotes that has been widely adopted for genome editing. To make CRISPR–Cas genome editing more controllable and safer to use, anti-CRISPR proteins have been recently exploited to prevent excessive/prolonged Cas nuclease cleavage. Anti-CRISPR (Acr) proteins are encoded by (pro)phages/(pro)viruses, and have the ability to inhibit their host's CRISPR–Cas systems. We have built an online database AcrDB (http://bcb.unl.edu/AcrDB ) by scanning ∼19 000 genomes of prokaryotes and viruses with AcrFinder, a recently developed Acr-Aca (Acr-associated regulator) operon prediction program. Proteins in Acr-Aca operons were further processed by two machine learning-based programs (AcRanker and PaCRISPR) to obtain numerical scores/ranks. Compared to other anti-CRISPR databases, AcrDB has the following unique features: (i) It is a genome-scale database with the largest collection of data (39 799 Acr-Aca operons containing Aca or Acr homologs); (ii) It offers a user-friendly web interface with various functions for browsing, graphically viewing, searching, and batch downloading Acr-Aca operons; (iii) It focuses on the genomic context of Acr and Aca candidates instead of individual Acr protein family and (iv) It collects data with three independent programs each having a unique data mining algorithm for cross validation. AcrDB will be a valuable resource to the anti-CRISPR research community.