Literature DB >> 20878546

Standing genetic variation and compensatory evolution in transgenic organisms: a growth-enhanced salmon simulation.

Robert N M Ahrens1, Robert H Devlin.   

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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Year:  2010        PMID: 20878546      PMCID: PMC3090570          DOI: 10.1007/s11248-010-9443-0

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  47 in total

1.  The foraging and antipredator behaviour of growth-enhanced transgenic Atlantic salmon.

Authors: 
Journal:  Anim Behav       Date:  1999-11       Impact factor: 2.844

2.  Growth of domesticated transgenic fish.

Authors:  R H Devlin; C A Biagi; T Y Yesaki; D E Smailus; J C Byatt
Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

3.  Growth enhancement in transgenic Atlantic salmon by the use of an "all fish" chimeric growth hormone gene construct.

Authors:  S J Du; Z Y Gong; G L Fletcher; M A Shears; M J King; D R Idler; C L Hew
Journal:  Biotechnology (N Y)       Date:  1992-02

4.  Genes invading new populations: a risk assessment perspective.

Authors:  Rosie S Hails; Kate Morley
Journal:  Trends Ecol Evol       Date:  2005-05       Impact factor: 17.712

5.  Possible ecological risks of transgenic organism release when transgenes affect mating success: sexual selection and the Trojan gene hypothesis.

Authors:  W M Muir; R D Howard
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-23       Impact factor: 11.205

Review 6.  The influence of genetic background on spontaneous and genetically engineered mouse models of complex diseases.

Authors:  C C Linder
Journal:  Lab Anim (NY)       Date:  2001-05       Impact factor: 12.625

7.  Fitness components and ecological risk of transgenic release: a model using Japanese medaka (Oryzias latipes).

Authors:  W M Muir; R D Howard
Journal:  Am Nat       Date:  2001-07       Impact factor: 3.926

8.  Cardiorespiratory modifications, and limitations, in post-smolt growth hormone transgenic Atlantic salmon Salmo salar.

Authors:  E J Deitch; G L Fletcher; L H Petersen; I A S F Costa; M A Shears; W R Driedzic; A K Gamperl
Journal:  J Exp Biol       Date:  2006-04       Impact factor: 3.312

9.  In wap-ras transgenic mice, tumor phenotype but not cyclophosphamide-sensitivity is affected by genetic background.

Authors:  L L Nielsen; M Gurnani; J J Catino; R D Tyler
Journal:  Anticancer Res       Date:  1995 Mar-Apr       Impact factor: 2.480

10.  Gene-environment interactions influence ecological consequences of transgenic animals.

Authors:  L F Sundström; M Lõhmus; W E Tymchuk; Robert H Devlin
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-27       Impact factor: 11.205

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1.  Metabolic Effects of Insulin and IGFs on Gilthead Sea Bream (Sparus aurata) Muscle Cells.

Authors:  Núria Montserrat; Encarnación Capilla; Isabel Navarro; Joaquim Gutiérrez
Journal:  Front Endocrinol (Lausanne)       Date:  2012-04-26       Impact factor: 5.555

2.  Reproductive performance of alternative male phenotypes of growth hormone transgenic Atlantic salmon (Salmo salar).

Authors:  Darek T R Moreau; Corinne Conway; Ian A Fleming
Journal:  Evol Appl       Date:  2011-07-04       Impact factor: 5.183

3.  Rearing in seawater mesocosms improves the spawning performance of growth hormone transgenic and wild-type coho salmon.

Authors:  Rosalind A Leggatt; Tanya Hollo; Wendy E Vandersteen; Kassandra McFarlane; Benjamin Goh; Joelle Prevost; Robert H Devlin
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

4.  Population-level effects of fitness costs associated with repressible female-lethal transgene insertions in two pest insects.

Authors:  Tim Harvey-Samuel; Thomas Ant; Hongfei Gong; Neil I Morrison; Luke Alphey
Journal:  Evol Appl       Date:  2014-05-01       Impact factor: 5.183

5.  Influence of a growth hormone transgene on the genetic architecture of growth-related traits: A comparative analysis between transgenic and wild-type coho salmon.

Authors:  Miyako Kodama; Kerry A Naish; Robert H Devlin
Journal:  Evol Appl       Date:  2018-10-16       Impact factor: 5.183

Review 6.  Sustainable use of CRISPR/Cas in fish aquaculture: the biosafety perspective.

Authors:  Arinze S Okoli; Torill Blix; Anne I Myhr; Wenteng Xu; Xiaodong Xu
Journal:  Transgenic Res       Date:  2021-07-25       Impact factor: 2.788

  6 in total

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