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Effects of Transgenic Rice on Life History Traits of Daphnia magna in Life Table Experiments

  • Nam, Sung-Jin (Department of Biological Science, Ajou University) ;
  • Yang, Dong-Woo (Department of Biological Science, Ajou University) ;
  • Kim, Chang-Gi (Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology) ;
  • Park, Sang-Kyu (Department of Biological Science, Ajou University)
  • Published : 2007.11.30

Abstract

To investigate the impacts of transgenic rice on freshwater organisms, we conducted two life table experiments using Daphnia magna for fifteen and twenty days, respectively. We examined life history traits such as population growth rates (r), reproductive rates ($R_0$), generation times, and survivorship. In the first experiment, we used non-drought-stressed transgenic and non-transgenic rice harvested in 2005. In the second study, we used non-transgenic and transgenic rice harvested in 2006 following drought stress. Each experiment involved three treatments in which D. magna neonates were fed with Selenastrum capricornutum (control treatment) and S. capricornutum with 5% aqueous extracts of non-transgenic rice (N-T) and transgenic rice (T). In the first experiment, D. magna showed reduced population growth rates and lowered fecundity in the N-T and T treatments. In the second experiment, D. magna receiving both transgenic and non-transgenic rice extracts showed very high mortality, low population growth rates and reproduction rates. We could not detect any significant negative effects of extracts from transgenic rice on D. magna life history traits at 95%.

Keywords

References

  1. Dale PJ, Clarke B, Fontes EMG. 2002. Potential for the environmental impacts of transgenic crops. Nat Biotechnol 20: 567-574 https://doi.org/10.1038/nbt0602-567
  2. Feldmannova M, Hilscherova K, Marsalek B, Blaha L. 2006. Effects of N-Heterocyclic polyaromatic hydrocarbons on survival, reproduction, and biochemical parameters in Daphnia magna. Environ Toxicol 21: 425-431 https://doi.org/10.1002/tox.20198
  3. Gaedke U, Straile D. 1998. Daphnids: Keystone species for the pelagic food web structure and energy flow - a body sized-related analysis linking seasonal changes at the population and ecosystem levels. Arch Hydrobio Spec Issues Advanc Limnol 53: 587-610
  4. Jooste S, Thirion C. 1999. An ecological risk assessment for a South African acid mine drainage. Water Sci Tech 39: 297-303 https://doi.org/10.1016/S0273-1223(99)00289-9
  5. Kanno T, Miura Y, Tsuruta H, Minami K. 1997. Methane emission from rice paddy fields in all of Japanese prefecture. Nutr Cycl Agroecosys 49: 147-151 https://doi.org/10.1023/A:1009778517545
  6. Kimura M, Murase J, Lu Y. 2004. Carbon cycling in rice field ecosystems in the context of input, decomposition and translocation of organic materials and the fates of their end products ($CO_{2}$ and $CH_{4}$). Soil Biol Biochem 36: 1399-1416 https://doi.org/10.1016/j.soilbio.2004.03.006
  7. Martins J, Teles O, Vasconcelos V. 2007. Assays with Daphnia magna and Danio rerio as alert systems in aquatic toxicology. Environ Internat 33: 414-425 https://doi.org/10.1016/j.envint.2006.12.006
  8. Lampert W. 1987. Feeding and nutrition in Daphnia. In Daphnia, (Peters RH, De Bernardi R, eds). Mem Ist Ita Idrobiol 45, pp 143-192
  9. Lindstrom K. 1983. Selenium as a growth factor for plankton algae in laboratory experiments and in some Swedish lakes. Hydrobiologia 101: 35-48 https://doi.org/10.1007/BF00008655
  10. Liu XD, Zhai BP, Zhang XX, Min J. 2005. Impact of transgenic cotton plants on a non-target pest, Aphis gossypii Glover. Ecol Entomol 30: 307-315 https://doi.org/10.1111/j.0307-6946.2005.00690.x
  11. Meyer JS, Ingersoll CG, McDonald LL, Boyce MS. 1986. Estimating uncertainty in population growth rates: Jackknife vs. Bootstrap techniques. Ecology 67: 1156-1166 https://doi.org/10.2307/1938671
  12. Nap JP, Metz PLJ, Escaler M, Conner AJ. 2003. The release of genetically modified crops into the environment. Part I. Overview of current status and regulations. Plant J 33: 1-18 https://doi.org/10.1046/j.0960-7412.2003.01602.x
  13. Obrist LB, Klein H, Dutton A, Bigler F. 2005. Effects of Bt maize on Frankliniella tenuicornis and exposure of thrips predators to preymediated Bt toxin. Entomol Exp Appl 115: 409-416 https://doi.org/10.1111/j.1570-7458.2005.00298.x
  14. Park S, Brett MT, Muller-Navarra DC, Goldman CR. 2002. Essential fatty acid content and the phosphorus to carbon ratio in cultured algae as indicators of food quality for Daphnia. Freshw Biol 47: 1377-1390 https://doi.org/10.1046/j.1365-2427.2002.00870.x
  15. Park S, Brett MT, Oshel ET, Goldman CR. 2003. Seston food quality and Daphnia production efficiencies in an oligo-mesotrophic subalpine lake. Aquat Ecol 37: 123-136 https://doi.org/10.1023/A:1023972425915
  16. Park S. 2007. Methods for environment risk assessment of transgenic crops. In: Plant Transformation (Korean Society for Plant Genetic Transformation ed). Jungmunkag, Seoul. pp. 463-475
  17. Rice CP, Park YB, Adams F, Abdul-Baki AA, Teasdale JR. 2005. Hydroxamic acid content and toxicity of rye at selected growth stages. J Chem Ecol 31: 1887-1905 https://doi.org/10.1007/s10886-005-5933-6
  18. Seo HS, Koo YJ, Lim JY, Song JT, Kim CH, Kim JK. 2000. Characterization of a bifunctional enzyme fusion of trehalose-6-phosphate synthase and trehalose-6-phosphate phosphatase of Escherichia coli. Appl Environ Microb 66: 2484-2490 https://doi.org/10.1128/AEM.66.6.2484-2490.2000
  19. Su J, Shen Q, Ho THD, Wu R. 1998. Dehydration-stress-regulated transgene expression in stably transformed rice plants. Plant Physiol 117: 913-922 https://doi.org/10.1104/pp.117.3.913
  20. Tanaka Y, Nakanishi J. 2001. Life history elasticity and the population-level effect of p-nonylphenol on Daphnia glaeata. Ecol Res 16: 41-48 https://doi.org/10.1046/j.1440-1703.2001.00369.x
  21. Tsuruta H, Kanda K, Hirose T. 1997. Nitrous oxide emission from a rice paddy field in Japan. Nutr Cycl Agroecosys 49: 51-58 https://doi.org/10.1023/A:1009739830004
  22. Weisse T, Stockner JG. 1993. Eutrophication: the role of microbial food webs. Mem Ist Ital Idrobiol 52: 133-150