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Using existing data to predict and quantify the risks of GM forage to a population of a non-target invertebrate species: A New Zealand case study

Published online by Cambridge University Press:  14 June 2011

Maureen O’Callaghan ,
Tanya K. Soboleva  and
Barbara I.P. Barratt
Maureen O’Callaghan*
Affiliation:
AgResearch, Lincoln Research Centre, Private Bag 4749, Christchurch, New Zealand
Tanya K. Soboleva
Affiliation:
Ministry of Agriculture and Forestry, PO Box 2526, Wellington, New Zealand
Barbara I.P. Barratt
Affiliation:
AgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel, New Zealand
*
∗ Corresponding author: [email protected]

Abstract

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Determining the effects of genetically modified (GM) crops on non-target organisms is essential as many non-target species provide important ecological functions. However, it is simply not possible to collect field data on more than a few potential non-target species present in the receiving environment of a GM crop. While risk assessment must be rigorous, new approaches are necessary to improve the efficiency of the process. Utilisation of published information and existing data on the phenology and population dynamics of test species in the field can be combined with limited amounts of experimental biosafety data to predict possible outcomes on species persistence. This paper presents an example of an approach where data from laboratory experiments and field studies on phenology are combined using predictive modelling. Using the New Zealand native weevil species Nicaeana cervina as a case study, we could predict that oviposition rates of the weevil feeding on a GM ryegrass could be reduced by up to 30% without threat to populations of the weevil in pastoral ecosystems. In addition, an experimentally established correlation between feeding level and oviposition led to the prediction that a consistent reduction in feeding of 50% or higher indicated a significant risk to the species and could potentially lead to local extinctions. This approach to biosafety risk assessment, maximising the use of pre-existing field and laboratory data on non-target species, can make an important contribution to informed decision-making by regulatory authorities and developers of new technologies.

Keywords

risk assessmentpredictive modellingGM cropsbiosafetypopulation dynamics
Type
Case study
Information
Environmental Biosafety Research , Volume 9 , Issue 3 , July 2010 , pp. 155 - 161
Copyright
© ISBR, EDP Sciences, 2011

References

Références

Barlow, ND, Barratt, BIP, Ferguson, C, Barron, MC (2004) Using models to estimate parasitoid impacts on non-target host abundance. Environ. Entomol. 33: 941–948 Google Scholar
Barratt, BIP, Evans, AA, Ferguson, CM, McNeill, MR, Proffitt, JR, Barker, GM (1998) Curculionoidea (Insecta: Coleoptera) of New Zealand agricultural grassland and lucerne as potential non-target hosts of the parasitoids Microctonus aethiopoides Loan and Microctonus hyperodae Loan (Hymenoptera: Braconidae). N. Z. J. Zool. 27: 47–63 Google Scholar
Barratt, BIP, Ferguson, CM, Evans, AA, McNeill, MR, Addison, PJ (2000) Phenology of native weevils (Coleoptera: Curculionidae) in New Zealand pastures and parasitism by the introduced braconid, Microctonus aethiopoides Loan (Hymenoptera: Braconidae). N. Z. J. Zool. 27: 93–110 Google Scholar
Barratt, BIP, Crook, KE, Ferguson, CM, Johnstone, PD, Malone, LA (2008) Developing a method for laboratory biosafety testing impacts of transgenic plants on non-target insects. Entomol. Exp. Appl. 128: 437–449 Google Scholar
Caradus, J (2008) An opportunity lost and sorting fact from fiction. Proc. N. Z. Grassl. Assoc. 70: 1–6 Google Scholar
Craig, W, Tepfer, M, Degrassi, G, Ripandelli, D (2008) An overview of general features of risk assessments of genetically modified crops. Euphytica 164: 853–880 Google Scholar
Dong, S, Shew, DH, Tredway, LP, Lu, J, Sivamani, E, Miller, ES, Qu, R (2008) Expression of the bacteriophage T4 lysozyme gene in tall fescue confers resistance to gray leaf spot and brown patch diseases. Trans. Res. 17: 47–57 Google Scholar
Gadegaard, G, Didion, T, Folling, M, Storgaard, M, Andersen, CH, Nielsen, KK (2008) Improved fructan accumulation in perennial ryegrass transformed with the onion fructsyltransferase genes 1-SST and 6-FFT. J. Plant Physiol. 165: 1214–1225 Google Scholar
Heuer, H, Kroppenstedt, RM, Lottmann, J, Berg, GKS (2002) Effects of T4-lysozyme release from transgenic potato roots on bacterial rhizosphere communities are negligible relative to natural factors. Appl. Environ. Microbiol. 68: 1325–1335 Google ScholarPubMed
Hill, RA, Sendashonga, C (2003) General principles for risk assessment of living modified organisms: lessons from chemical risk assessment. Environ. Biosafety Res. 2: 81–88 Google ScholarPubMed
HSNO Act (1996) Hazardous Substances and New Organisms Act. Wellington, New Zealand. www.legislation.govt.nz/act/public/1996/0030/latest/DLM381222.html
O'Callaghan, M, Glare, TR, Burgess, EPJ, Malone, LA (2005) Effects of plants genetically modified for insect resistance on non-target organisms. Ann. Rev. Entomol. 50: 271–292 Google Scholar
Paarlberg R (2006) Let them eat precaution: why GM crops are being overregulated in the developing world. In Entine J, ed, Let them eat precaution, AEI Press, Washington, DC, 92–112
Raybould, A (2006) Problem formulation and hypothesis testing for environmental risk assessments of genetically modified crops. Environ. Biosafety Res. 5: 119–125 Google ScholarPubMed
Raybould, A (2007) Ecological versus ecotoxicological methods for assessing the environmental risks of transgenic crops. Plant Sci. 173: 589–602 Google Scholar
Romeis, J, Batsch, D, Bigler, F, Candolfi, MP, Gielkens, MM, Hartley, SE, Hellmich, RL, Huesing, JE, Jepsen, PC, Layton, R, Quemada, H, Raybould, A, Rose, RI, Schiemann, J, Sears, MK, Shelton, AM, Sweet, J, Vaituzis, Z, Wolt, JD (2008) Assessment of risk of insect-resistant transgenic crops to nontarget arthropods. Nature Biotechnol. 26: 203–208 Google ScholarPubMed
Romeis, J, Lawo, NC, Raybould, A (2009) Making effective use of existing data for case-by case risk assessments of genetically engineered crops. J. Appl. Entomol. 133: 571–583 Google Scholar
Tanaka, A, Tapper, BA, Popay, AI, Parker, EJ, Scott, B (2005) A symbiosis expressed non-ribosomal peptide synthase from a mutualistic fungal endophyte of perennial ryegrass confers protection to the symbiotum from insect herbivory. Mol. Microbiol. 57: 1036–1050 Google ScholarPubMed
Todd, JH, Ramankutty, P, Barraclough, EI, Malone, LA (2008) A screening method for prioritizing non-target invertebrates for improved biosafety testing of transgenic crops. Environ. Biosafety Res. 7: 35–56 Google ScholarPubMed