Evidence map›Paper›PMID 34606606›Full record

ArticleNucleic acids research2021

Identification and classification of antiviral defence systems in bacteria and archaea with PADLOC reveals new system types.

Leighton J Payne, Thomas C Todeschini, Yi Wu, Benjamin J Perry, Clive W Ronson, Peter C Fineran, Franklin L Nobrega, Simon A Jackson

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

156 citing papers in PubMed.

  1. Article
  2. Article
  3. Members of theMicrobial genomics · 2026
    Article
  4. The Oxytetracycline ProducerInternational journal of molecular sciences · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Genetic engineering ofMicrobial genomics · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Isolation and characterization of broad-rangeMicrobiology (Reading, England) · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

96 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Leighton J PayneDepartment of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-2305-6827
Thomas C TodeschiniSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.
Yi WuSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.
Benjamin J PerryDepartment of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
Clive W RonsonDepartment of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-2217-9676
Peter C FineranDepartment of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-4639-6704
Franklin L NobregaSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.ORCID 0000-0002-8238-1083
Simon A JacksonDepartment of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-4512-3093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To provide protection against viral infection and limit the uptake of mobile genetic elements, bacteria and archaea have evolved many diverse defence systems. The discovery and application of CRISPR-Cas adaptive immune systems has spurred recent interest in the identification and classification of new types of defence systems. Many new defence systems have recently been reported but there is a lack of accessible tools available to identify homologs of these systems in different genomes. Here, we report the Prokaryotic Antiviral Defence LOCator (PADLOC), a flexible and scalable open-source tool for defence system identification. With PADLOC, defence system genes are identified using HMM-based homologue searches, followed by validation of system completeness using gene presence/absence and synteny criteria specified by customisable system classifications. We show that PADLOC identifies defence systems with high accuracy and sensitivity. Our modular approach to organising the HMMs and system classifications allows additional defence systems to be easily integrated into the PADLOC database. To demonstrate application of PADLOC to biological questions, we used PADLOC to identify six new subtypes of known defence systems and a putative novel defence system comprised of a helicase, methylase and ATPase. PADLOC is available as a standalone package (https://github.com/padlocbio/padloc) and as a webserver (https://padloc.otago.ac.nz).

Indexed as

SoftwareAdenosine TriphosphatasesAntibiosisArchaeaArchaeal ProteinsBacteriaBacterial ProteinsBacteriophagesCRISPR-Cas SystemsDNA HelicasesDNA Modification MethylasesMarkov ChainsPhylogenyTerminology as TopicAdenosine TriphosphatasesArchaeal ProteinsBacterial ProteinsDNA HelicasesDNA Modification Methylases

Identifiers

PMID34606606
PMCPMC8565338

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.