ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022
Speciation and adaptation research meets genome editing.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Functional mutations in the thyroid-stimulating hormone receptor in natural stickleback populations at sites identical to human disease-causing mutations.BMC ecology and evolution · 2025Article
- Holocentric repeat landscapes: From micro-evolutionary patterns to macro-evolutionary associations with karyotype evolution.Molecular ecology · 2024Article
- Special Issue: Molecular Advance on Reproduction and Fertility of Aquatic Animals.International journal of molecular sciences · 2024Article
- Genome-wide analysis of histone modifications can contribute to the identification of candidate cis-regulatory regions in the threespine stickleback fish.BMC genomics · 2024Article
- Genomic Approaches Are Improving Taxonomic Representation in Genetic Studies of Speciation.Cold Spring Harbor perspectives in biology · 2024Review
- The Impact of Chromosomal Rearrangements in Speciation: From Micro- to Macroevolution.Cold Spring Harbor perspectives in biology · 2023Review
- Genetic basis of speciation and adaptation: from loci to causative mutations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the genetic basis of reproductive isolation and adaptive traits in natural populations is one of the fundamental goals in evolutionary biology. Genome editing technologies based on CRISPR-Cas systems and site-specific recombinases have enabled us to modify a targeted genomic region as desired and thus to conduct functional analyses of target loci, genes and mutations even in non-conventional model organisms. Here, we review the technical properties of genome editing techniques by classifying them into the following applications: targeted gene knock-out for investigating causative gene functions, targeted gene knock-in of marker genes for visualizing expression patterns and protein functions, precise gene replacement for identifying causative alleles and mutations, and targeted chromosomal rearrangement for investigating the functional roles of chromosomal structural variations. We describe examples of their application to demonstrate functional analysis of naturally occurring genetic variations and discuss how these technologies can be applied to speciation and adaptation research. This article is part of the theme issue 'Genetic basis of adaptation and speciation: from loci to causative mutations'.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.