ArticleTransgenic research2011
Standing genetic variation and compensatory evolution in transgenic organisms: a growth-enhanced salmon simulation.
Article in Transgenic research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
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Who cites it
9 citing papers in PubMed, 23 citations in OpenAlex.
- Fitness Regulates Non-Native Species Recovery in a Simulated Trojan MEvolutionary applications · 2026Article
- Sustainable use of CRISPR/Cas in fish aquaculture: the biosafety perspective.Transgenic research · 2022Review
- Loci associated with variation in gene expression and growth in juvenile salmon are influenced by the presence of a growth hormone transgene.BMC genomics · 2020Article
- Using problem formulation for fit-for-purpose pre-market environmental risk assessments of regulated stressors.EFSA journal. European Food Safety Authority · 2019Article
- Influence of a growth hormone transgene on the genetic architecture of growth-related traits: A comparative analysis between transgenic and wild-type coho salmon.Evolutionary applications · 2018Article
- Population-level effects of fitness costs associated with repressible female-lethal transgene insertions in two pest insects.Evolutionary applications · 2014Article
- Rearing in seawater mesocosms improves the spawning performance of growth hormone transgenic and wild-type coho salmon.PloS one · 2014Article
- Metabolic Effects of Insulin and IGFs on Gilthead Sea Bream (Sparus aurata) Muscle Cells.Frontiers in endocrinology · 2012Article
- Reproductive performance of alternative male phenotypes of growth hormone transgenic Atlantic salmon (Salmo salar).Evolutionary applications · 2011Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetically modified strains usually are generated within defined genetic backgrounds to minimize variation for the engineered characteristic in order to facilitate basic research investigations or for commercial application. However, interactions between transgenes and genetic background have been documented in both model and commercial agricultural species, indicating that allelic variation at transgene-modifying loci are not uncommon in genomes. Engineered organisms that have the potential to allow entry of transgenes into natural populations may cause changes to ecosystems via the interaction of their specific phenotypes with ecosystem components and services. A transgene introgressing through natural populations is likely to encounter a range of natural genetic variation (among individuals or sub-populations) that could result in changes in phenotype, concomitant with effects on fitness and ecosystem consequences that differ from that seen in the progenitor transgenic strain. In the present study, using a growth hormone transgenic salmon example, we have modeled selection of modifier loci (single and multiple) in the presence of a transgene and have found that accounting for genetic background can significantly affect the persistence of transgenes in populations, potentially reducing or reversing a "Trojan gene" effect. Influences from altered life history characteristics (e.g., developmental timing, age of maturation) and compensatory demographic/ecosystem controls (e.g., density dependence) also were found to have a strong influence on transgene effects. Further, with the presence of a transgene in a population, genetic backgrounds were found to shift in non-transgenic individuals as well, an effect expected to direct phenotypes away from naturally selected optima. The present model has revealed the importance of understanding effects of selection for background genetics on the evolution of phenotypes in populations harbouring transgenes.
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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.