Evidence map›Paper›PMID 33172134›Full record

ReviewBiomolecules2020

Heavily Armed Ancestors: CRISPR Immunity and Applications in Archaea with a Comparative Analysis of CRISPR Types in Sulfolobales.

Isabelle Anna Zink, Erika Wimmer, Christa Schleper

Open access · goldAbstract readReviewComparative Study
In one paragraph

Review in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Archaeal RNA processing and regulation: expanding the functional landscape.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  6. The Archaeal Cell Cycle.Annual review of cell and developmental biology · 2024
    Review
  7. Teaching old dogs new tricks: genetic engineering methanogens.Applied and environmental microbiology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. The cell biology of archaea.Nature microbiology · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Cyclic Tetra-Adenylate (cABiomolecules · 2021
    Article
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

3 authors at 1 institution in 1 country.

Isabelle Anna ZinkDepartment of Functional and Evolutionary Ecology, Archaea Biology and Ecogenomics Unit, University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-7881-2357
Erika WimmerDepartment of Functional and Evolutionary Ecology, Archaea Biology and Ecogenomics Unit, University of Vienna, 1090 Vienna, Austria.
Christa SchleperDepartment of Functional and Evolutionary Ecology, Archaea Biology and Ecogenomics Unit, University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-1918-2735
University of Vienna · AT

Funding

Austrian Science Fund P29399European Research Council 695192Österreichischen Akademie der Wissenschaften DOC-fellowshipUniversität Wien DOC completion grant
6 · The paper itself

Abstract

Prokaryotes are constantly coping with attacks by viruses in their natural environments and therefore have evolved an impressive array of defense systems. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) is an adaptive immune system found in the majority of archaea and about half of bacteria which stores pieces of infecting viral DNA as spacers in genomic CRISPR arrays to reuse them for specific virus destruction upon a second wave of infection. In detail, small CRISPR RNAs (crRNAs) are transcribed from CRISPR arrays and incorporated into type-specific CRISPR effector complexes which further degrade foreign nucleic acids complementary to the crRNA. This review gives an overview of CRISPR immunity to newcomers in the field and an update on CRISPR literature in archaea by comparing the functional mechanisms and abundances of the diverse CRISPR types. A bigger fraction is dedicated to the versatile and prevalent CRISPR type III systems, as tremendous progress has been made recently using archaeal models in discerning the controlled molecular mechanisms of their unique tripartite mode of action including RNA interference, DNA interference and the unique cyclic-oligoadenylate signaling that induces promiscuous RNA shredding by CARF-domain ribonucleases. The second half of the review spotlights CRISPR in archaea outlining seminal in vivo and in vitro studies in model organisms of the euryarchaeal and crenarchaeal phyla, including the application of CRISPR-Cas for genome editing and gene silencing. In the last section, a special focus is laid on members of the crenarchaeal hyperthermophilic order Sulfolobales by presenting a thorough comparative analysis about the distribution and abundance of CRISPR-Cas systems, including arrays and spacers as well as CRISPR-accessory proteins in all 53 genomes available to date. Interestingly, we find that CRISPR type III and the DNA-degrading CRISPR type I complexes co-exist in more than two thirds of these genomes. Furthermore, we identified ring nuclease candidates in all but two genomes and found that they generally co-exist with the above-mentioned CARF domain ribonucleases Csx1/Csm6. These observations, together with published literature allowed us to draft a working model of how CRISPR-Cas systems and accessory proteins cross talk to establish native CRISPR anti-virus immunity in a Sulfolobales cell.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsSulfolobalesArchaeaarchaeacOA-signalingCRISPRCRISPR applicationsCRISPR model organismssulfolobalestype IIIviruses

Identifiers

PMID33172134
PMCPMC7694759
OpenAlexW3096982820

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.