Evidence map›Paper›PMID 40579538›Full record

ReviewNature genetics2025

How and when organisms edit their own genomes.

Vincent C T Hanlon, Alex Cagan, Sebastian Eves-van den Akker

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Vincent C T HanlonCrop Science Centre, Department of Plant Sciences, University of Cambridge, Cambridge, UK. vcth2@cam.ac.uk.ORCID http://orcid.org/0000-0002-2008-8957
Alex CaganDepartment of Genetics, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-7857-4771
Sebastian Eves-van den AkkerCrop Science Centre, Department of Plant Sciences, University of Cambridge, Cambridge, UK. se389@cam.ac.uk.ORCID http://orcid.org/0000-0002-8833-9679

Funding

Comparative analyses of somatic mutational processes in primates across lifespansR01AG087974 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI SUDMANT, PETER HESHEDAHL · 2024 to 2025
$1.3M
Leverhulme Trust RPG-2023-001RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/S006397/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/X006352/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/Y513246/1U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AG087974
6 · The paper itself

Abstract

Mutations are often thought of as untargeted and non-adaptive, but in rare cases, organisms perform programmed, targeted and adaptive rearrangements of their own DNA sequences. Notable examples include the somatic diversification of immunoglobulin genes, which is the foundation of the vertebrate immune system, and natural CRISPR spacer arrays in bacteria, which recognize and cleave foreign DNA. These systems, along with a dozen known analogs scattered across the tree of life, often underlie critical biological functions, particularly in host-pathogen conflicts. In this Review, we compare the mechanisms by which organisms edit their own genomes. We show that superficially dissimilar editing systems often rely on surprisingly similar genetic mechanisms, regardless of function or taxon. Finally, we argue that the recurrence of editing in host-pathogen conflicts and the bias to a handful of well-studied organisms strongly suggest that new editing systems will be found in understudied pathogens and their hosts.

Indexed as

CRISPR-Cas SystemsGene EditingGenomeAnimalsBacteriaHost-Pathogen InteractionsHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.