ReviewGenetics, selection, evolution : GSE2025
Molecular breeding of pigs in the genome editing era.
Review in Genetics, selection, evolution : GSE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
- Dynamic SOX2 gene expression revealed by phase-separated single RNA imaging in live porcine cells.The Journal of biological chemistry · 2026Article
- Effects of Dietary Betaine on Growth Performance, Serum Metabolites, and Meat Quality of Pigs: A Meta-Analysis.Animals : an open access journal from MDPI · 2026Review
- CRISPR mediated PRRS resistant pigs: biological success, welfare implications, and ethical regulatory challenges for sustainable swine production.Porcine health management · 2026Review
- A rapid and highly sensitive CRISPR-Cas12a ortholog-assisted assay for genotyping of myostatin knockout pigs.Cell & bioscience · 2026Article
- CRISPR-Cas9 Screening and Simulated Infection Transcriptomic Identify Key Drivers of Innate Immunity in Bactrian Camels.Animals : an open access journal from MDPI · 2026Article
- Effects ofAnimals : an open access journal from MDPI · 2025Article
- Autophagy and porcine circovirus infection: a mini review.Frontiers in cellular and infection microbiology · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundTo address the increasing demand for high-quality pork protein, it is essential to implement strategies that enhance diets and produce pigs with excellent production traits. Selective breeding and crossbreeding are the primary methods used for genetic improvement in modern agriculture. However, these methods face challenges due to long breeding cycles and the necessity for beneficial genetic variation associated with high-quality traits within the population. This limitation restricts the transfer of desirable alleles across different genera and species. This article systematically reviews past and current research advancements in porcine molecular breeding. It discusses the screening of clustered regularly interspaced short palindromic repeats (CRISPR) to identify resistance loci in swine and the challenges and future applications of genetically modified pigs. MAIN BODY: The emergence of transgenic and gene editing technologies has prompted researchers to apply these methods to pig breeding. These advancements allow for alterations in the pig genome through various techniques, ranging from random integration into the genome to site-specific insertion and from target gene knockout (KO) to precise base and prime editing. As a result, numerous desirable traits, such as disease resistance, high meat yield, improved feed efficiency, reduced fat deposition, and lower environmental waste, can be achieved easily and effectively by genetic modification. These traits can serve as valuable resources to enhance swine breeding programmes.
conclusionIn the era of genome editing, molecular breeding of pigs is critical to the future of agriculture. Long-term and multidomain analyses of genetically modified pigs by researchers, related policy development by regulatory agencies, and public awareness and acceptance of their safety are the keys to realizing the transition of genetically modified products from the laboratory to the market.
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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.