Evidence map›Paper›PMID 30837341›Full record

ArticlemBio2019

CRISPR Spacers Indicate Preferential Matching of Specific Virioplankton Genes.

Daniel J Nasko, Barbra D Ferrell, Ryan M Moore, Jaysheel D Bhavsar, Shawn W Polson, K Eric Wommack

Open access · goldAbstract read
In one paragraph

Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Type A and DFrontiers in cellular and infection microbiology · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. Viruses · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Advanced Nanotheranostics of CRISPR/Cas for Viral Hepatitis and Hepatocellular Carcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

6 authors at 1 institution in 1 country.

Daniel J NaskoDelaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.
Barbra D FerrellDelaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.
Ryan M MooreDelaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.
Jaysheel D BhavsarDelaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.
Shawn W PolsonDelaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.ORCID 0000-0002-3398-6932
K Eric WommackDelaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA wommack@dbi.udel.edu.
Biotechnology Institute · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
Bacteriophage-host dynamics as a factor in the etiology of bacterial vaginosisR21AI109555 · NIAID · UNIVERSITY OF DELAWARE · PI WOMMACK, K ERIC ERIC · 2014 to 2015
$439k
NIAID NIH HHS R21 AI109555NIGMS NIH HHS P20 GM103446
6 · The paper itself

Abstract

Viral infection exerts selection pressure on marine microbes, as virus-induced cell lysis causes 20 to 50% of cell mortality, resulting in fluxes of biomass into oceanic dissolved organic matter. Archaeal and bacterial populations can defend against viral infection using the clustered regularly interspaced short palindromic repeat (CRISPR)-associated (Cas) system, which relies on specific matching between a spacer sequence and a viral gene. If a CRISPR spacer match to any gene within a viral genome is equally effective in preventing lysis, no viral genes should be preferentially matched by CRISPR spacers. However, if there are differences in effectiveness, certain viral genes may demonstrate a greater frequency of CRISPR spacer matches. Indeed, homology search analyses of bacterioplankton CRISPR spacer sequences against virioplankton sequences revealed preferential matching of replication proteins, nucleic acid binding proteins, and viral structural proteins. Positive selection pressure for effective viral defense is one parsimonious explanation for these observations. CRISPR spacers from virioplankton metagenomes preferentially matched methyltransferase and phage integrase genes within virioplankton sequences. These virioplankton CRISPR spacers may assist infected host cells in defending against competing phage. Analyses also revealed that half of the spacer-matched viral genes were unknown, some genes matched several spacers, and some spacers matched multiple genes, a many-to-many relationship. Thus, CRISPR spacer matching may be an evolutionary algorithm, agnostically identifying those genes under stringent selection pressure for sustaining viral infection and lysis. Investigating this subset of viral genes could reveal those genetic mechanisms essential to virus-host interactions and provide new technologies for optimizing CRISPR defense in beneficial microbes.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsGenes, ViralMetagenomeWater MicrobiologyBacteriaDNA, BacterialSequence HomologyDNA, Bacterialbacteriophagebiogeographybioinformaticsmetagenomicsoceanographyviral ecology

Identifiers

PMID30837341
PMCPMC6401485
OpenAlexW2902205930

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.