Hostname: page-component-cd9895bd7-lnqnp Total loading time: 0 Render date: 2024-12-27T07:36:51.189Z Has data issue: false hasContentIssue false
  • English
  • Français

Hybridization between GM soybean (Glycine max (L.) Merr.) and wild soybean (Glycine soja Sieb. et Zucc.) under field conditions in Japan

Published online by Cambridge University Press:  08 October 2010

Aki Mizuguti ,
Kentaro Ohigashi ,
Yasuyuki Yoshimura ,
Akito Kaga ,
Yosuke Kuroda  and
Kazuhito Matsuo
Aki Mizuguti*
Affiliation:
National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan
Kentaro Ohigashi
Affiliation:
National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan
Yasuyuki Yoshimura
Affiliation:
National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan
Akito Kaga
Affiliation:
National Institute of Agrobiological Sciences, Tsukuba, Ibaraki, Japan
Yosuke Kuroda
Affiliation:
National Institute of Agrobiological Sciences, Tsukuba, Ibaraki, Japan Present address: National Agricultural Research Center for Hokkaido Region, National Agriculture and Food Research Organization, Memuro, Hokkaido, Japan
Kazuhito Matsuo
Affiliation:
National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan
*
* Corresponding author: mizuguti9@gmail.com

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Accumulation of information about natural hybridization between GM soybean (Glycine max) and wild soybean (Glycine soja) is required for risk assessment evaluation and to establish biosafety regulations in Japan. This is particularly important in areas where wild relatives of cultivated soybean are grown (i.e. East Asia including Japan). To collect information on temporal and spatial factors affecting variation in hybridization between wild and GM soybean, a two year hybridization experiment was established that included one wild soybean and five GM soybean cultivars with different maturity dates. Hybridization frequencies ranged from 0 to 0.097%. The maximum hybridization frequency (0.097%) was obtained from wild soybean crossed with GM soybean cv. AG6702RR, which were adjacently cultivated with wild soybean, with 25 hybrids out of 25 741 seedlings tested. Cultivar AG6702RR had the most synchronous flowering period with wild soybean. Ten hybrids out of 25 741 were produced by crossing with cv. AG5905RR, which had the second most synchronous flowering period with wild soybean. Most hybrids were found where GM and wild soybeans were adjacently cultivated, whereas only one hybrid was detected from wild soybean plants at 2 m, 4 m and 6 m from a pollen source (GM soybean). Differences in flowering phenology, isolation distance and presence of buffer plants accounted for half of the variation in hybridization frequency in this study. Temporal and spatial isolation will be effective strategies to minimize hybridization between GM and wild soybean.

Keywords

buffer plantdistanceflowering overlapflowering synchronism
Type
Research Article
Information
Environmental Biosafety Research , Volume 9 , Issue 1 , January 2010 , pp. 13 - 23
Copyright
© ISBR, EDP Sciences

References

Abud, S, de Souza, PIM, Vianna, GR, Leonardecz, E, Moreira, CT, Faleiro, FG, Júnior, JN, Monteiro, PMFO, Rech, EL, Aragão, FJL (2007) Gene flow from transgenic to nontransgenic soybean plants in the Cerrado region of Brazil. Genet. Mol. Res. 6: 445–452 Google ScholarPubMed
Carlson JB, Lersten NR (2004) Reproductive morphology. In Soybeans, Improvement, Production, and Use, Boerma HR and Specht JE, eds, American Society of Agronomy/Crop Science Society of America/Soil Science Society of America, Madison, pp 59–95
D’Andrea , L, Felber , F, Guadagnuolo , R (2008) Hybridization rates between lettuce (Lactuca sativa) and its wild relative (L. serriola) under field conditions. Environ. Biosafety Res. 7: 61–71 CrossRefGoogle ScholarPubMed
Della Porta, G, Ederle, D, Bucchini, L, Prandi, M, Verderio, A, Pozzi, C (2008) Maize pollen mediated gene flow in the Po valley (Italy): Source-recipient distance and effect of flowering time. Europ. J. Agronomy 28: 255–265 Google Scholar
Ellstrand, NC (2003) Current knowledge of gene flow in plants: implications for transgene flow. Phil. Trans. R. Soc. Lond. B 358: 1163–1170 Google Scholar
Faraway JJ (2006) 3.3 Negative binomial. In Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Chapman & Hall/CRC, pp 63–66
Halsey, ME, Remund, KM, Davis, CA, Qualls, M, Eppard, PJ, Berberich, SA (2005) Isolation of maize from pollen-mediated gene flow by time and distance. Crop Sci. 45: 2172–2185 Google Scholar
Hancock, JF (2003) A framework for assessing the risk of transgenic crops. BioScience 53: 512–519 Google Scholar
Haygood, R, Ives, AR, Andow, DA (2003) Consequences of recurrent gene flow from crops to wild relatives. Proc. R. Soc. Lond. B 270: 1879–1886 Google ScholarPubMed
Hooftman , DAP, Oostermeijer , JGB, Marquard , E, den Nijs, H(J)CM (2008) Modelling the consequences of crop-wild relative gene flow: a sensitivity analysis of the effects of outcrossing rates and hybrid vigour breakdown in Lactuca . J. Appl. Ecol. 45: 1094–1103 Google Scholar
Hüsken, A, Dietz-Pfeilstetter, A (2007) Pollen-mediated intraspecific gene flow from herbicide resistant oilseed rape (Brassica napus L.). Transgenic Res. 16: 557–569 Google Scholar
ISAAA (2009) Executive summary: Global Status of Commercialized Biotech/GM Crops: 2009. http://www.isaaa.org/
Karasawa, K (1936) Crossing experiments with Glycine soja and G. ussuriensis . Jap. J. Bot. 8: 113–118 Google Scholar
Kuroda, Y, Kaga, A, Tomooka, N, Vaughan, DA (2006) Population genetic structure of Japanese wild soybean (Glycine soja) based on microsatellite variation. Mol. Ecol. 15: 959–974 Google ScholarPubMed
Kwon, SH, Im, KH, Kim, JR (1972) [Studies on diversity of seed weight in the Korean soybean]. Korean J. Breed. 4: 70–74 (in Korean with English abstract) Google Scholar
McPherson, MA, Good, AG, Topinka, AKC, Yang, RC, McKenzie, RH, Cathcart, RJ, Christianson, JA, Strobeck, C, Hall, LM (2009) Pollen-mediated gene flow from transgenic safflower (Carthamus tinctorius L.) intended for plant molecular farming to conventional safflower. Environ. Biosafety Res. 8: 19–32 Google ScholarPubMed
Messeguer, J, Penas, G, Ballester, J, Bas, M, Serra, J, Salvia, J, Palaudelmas, M, Mele, E (2006) Pollen-mediated gene flow in maize in real situations of coexistence. Plant Biotechnol. J. 4: 633–645 Google ScholarPubMed
Mizuguti A, Yoshimura Y, Ohigashi K, Kaga A, Kuroda Y, Matsuo K (2008a) Estimation of gene flow between wild and glyphosate-tolerant GM soybeans by honeybee in containment greenhouse. Symposium handbook of 10th ISBGMO, p 115
Mizuguti A, Yoshimura Y, Ohigashi K, Matsuo K (2008b) Comparison of the flowering phenology among the regional populations of wild soybean in Japan. Abstracts of 5th International Weed Science Congress, p 146
Mizuguti, A, Yoshimura, Y, Matsuo, K (2009) Flowering phenologies and natural hybridization of genetically modified and wild soybeans under field conditions. Weed Biol. Manag. 9: 93–96 Google Scholar
Morris, W, Kareiva, P, Raymer, P (1994) Do barren zones and pollen traps reduce gene escape from transgenic crops? Ecol. Appl. 4: 157–165 Google Scholar
Nakayama, Y, Yamaguchi, H (2002) Natural hybridization in wild soybean (Glycine max ssp. soja) by pollen flow from cultivated soybean (Glycine max ssp. max) in a designed population. Weed Biol. Manag. 2: 25–30 Google Scholar
Ohigashi K, Mizuguti A, Yoshimura Y, Nakatani K, Araki H, Tuyuzaki H, Shimada H, Horimoto S, Nishiwaki A, Miwa T, Matsuo K (2009) A flowering model to estimate the potential of hybridization between wild and cultivated soybeans. J. Weed Sci. Tech. Suppl.: 118 (in Japanese with English title)
Oka, H (1983) Genetic control of regenerating success in semi-natural conditions observed among lines derived from a cultivated x wild soybean hybrid. J. Appl. Ecol. 20: 937–949 Google Scholar
Palaudelmas, M, Mele, E, Penas, G, Pla, M, Nadal, A, Serra, J, Salvia, J, Messeguer, J (2008) Sowing and flowering delays can be an efficient strategy to improve coexistence of genetically modified and conventional maize. Crop Sci. 48: 2404–2413 Google Scholar
R Development Core Team (2010) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
Rognli, OA, Nilsson, NO, Nurminiemi, M (2000) Effect of distance and pollen competition on gene flow in the wind-pollinated grass Festuca pratensis Huds. Heredity 85: 550–560 Google ScholarPubMed
Rong, J, Lu, B-R, Song, Z, Su, J, Snow, AA, Zhang, X, Sun, S, Chen, R, Wang, F (2007) Dramatic reduction of crop-to-crop gene flow within a short distance from transgenic rice fields. New Phytol. 173: 346–353 Google Scholar
Sameshima, R (2000) Modeling soybean growth and development responses to environmental factors. Bull. Natl. Agric. Res. Cent. 32: 1–119 (in Japanese with English summary) Google Scholar
Song, ZP, Lu, B-R, Zhu, YG, Chen, JK (2003) Gene flow from cultivated rice to the wild species Oryza rufipogon under experimental field conditions. New Phytol. 157: 657–665 Google Scholar
Staniland, BK, McVetty, PBE, Friesen, LF, Yarrow, S, Freyssinet, G, Freyssinet, M (2000) Effectiveness of border areas in confining the spread of transgenic Brassica napus pollen. Can. J. Plant Sci. 80: 521–526 Google Scholar
Tateishi Y, Ohashi H (2001) Subtribe V. Glycininae 62. Glycine Willd. In Flora of Japan, Vol. IIb Angiospermae Dicotyledoneae Archilamydeae (b), Iwatsuki K, Boufford DE and Ohba H, eds, Kodansha, Tokyo, pp 276–277
Thompson, CJ, Thompson, BJP, Ades, PK, Cousens, R, Garnier-Gere, P, Landman, K, Newbigin, E, Burgman, MA (2003) Model-based analysis of the likelihood of gene introgression from genetically modified crops into wild relatives. Ecol. Model. 162: 199–209 Google Scholar
Wolf, DE, Takebayashi, N, Rieseberg, LH (2001) Predicting the risk of extinction through hybridization. Conserv. Biol. 15: 1039–1053 Google Scholar
Xu, DH, Abe, J, Gai, Y, Shimamoto, Y (2002) Diversity of chloroplast DNA SSRs in wild and cultivated soybeans: evidence for multiple origins of cultivated soybean. Theor. Appl. Genet. 105: 645–653 Google ScholarPubMed
Yoshimura, Y, Matsuo, K, Yasuda, K (2006) Gene flow from GM glyphosate-tolerant to conventional soybeans under field conditions in Japan. Environ. Biosafety Res. 5: 169–173 Google ScholarPubMed
Zar JH (2010) 24.8 Confidence limits for a population proportion. In Biostatistical Analysis Fifth Edition, Pearson Education, Inc., Upper Saddle River, New Jersey, USA, pp 543–548